Naren Ramakrishnan

Publications

• Can an LLM find its way around a Spreadsheet?, in Proceedings of the 47th IEEE/ACM International Conference on Software Engineering (ICSE 2025), Ottawa, Canada, Apr-May 2025 (with C.T. Lee and others). [PDF]

• Combating Trade in Illegal Wood and Forest Products with Machine Learning, PLoS ONE, 2024 (with D. Datta and others).
  
  
• An ML Approach to Estimating the Geographical Origin of Timber, EcoRxiv, 2023 (with J. Truszkowski and others). [PDF]
  
  
• Forecasting Migration Patterns and Land Border Encounters, in Proceedings of the IEEE International Conference on Big Data (Big Data'24), Washington DC, Dec 2024 (with R.B. Yousuf and others). [PDF]
  
  
• LLM Augmentations to support Analytical Reasoning over Multiple Documents, in Proceedings of the IEEE International Conference on Big Data (Big Data'24), Washington DC, Dec 2024 (with R.B. Yousuf and others). [PDF]
  
  
• Steering LLM Summarization with Visual Workspaces for Sensemaking, in Proceedings of NLVIZ Workshop @IEEE VIS'24, 2024 (with X. Tang, C. North, and others). [PDF]
  
  
• Space to Think as a Common Ground for Human-AI Sensemaking, in Proceedings of the Sensemaking Workshop @CHI'24, 2024 (with X. Tang, C. North, and others). [PDF]
  
  
• Evaluation of FluSight Influenza in 2021-22 and 2022-23 seasons with a New Forecasting Target: Laboratory-Confirmed Influenza Hospitalizations, Nature Communications, 2024 (with the FluSight group). [PDF]
  
  
• Fast Geometric Learning of MIMO Signal Detection over Grassmannian Manifolds, in Proceedings of the IEEE Global Communications Conference (GlobeComm), Cape Town, South Africa, Dec 2024 (with R. Shelim and W. Saad). [PDF]
  
  
• Information Guided Regularization for Fine-tuning Language Models, in Proceedings of the Conference on Language Modeling (COLM'24), Philadelphia, PA, Oct 2024 (with M. Sharma and others). [PDF]
  
  
• Laying Anchors: Semantically Priming Numerals in Language Modeling, in Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'24) - Findings, Mexico City, Mexico, June 2024 (with M. Sharma and others). [PDF]
  
  
• Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems, IEEE Network. 2024 (with S. Xu and others). [PDF]
  
  
• Neural Methods for Data-to-Text Generation, ACM Transactions on Intelligent Systems and Technology, 2024, (with M. Sharma and A. Gogineni). [PDF]
  
  
• Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling, ACM Transactions on Knowledge Discovery from Data, 2024, (with T. Ji and others). [PDF]
  
  
• Redistrict: Online Public Deliberation Support that Connects and Rebuilds Inclusive Communities, Proceedings of the ACM on HCI (PACM HCI), 2024 (with A. Sistrunk and others). [PDF]

• ML-Assisted Optimization of Securities Lending, in 4th ACM International Conference on AI in Finance (ICAIF ’23), Brooklyn, NY, Nov 2023 (with A. Prasad and others). [PDF]
  
  
• Redistrict: Designing a Self-Serve Interactive Boundary Optimization System, in Proceedings of the ACM Designing Interactive Systems Conference (DIS'23: Demos), pages 284-287, Pittsburgh, PA, July 2023 (with A. Sistrunk and others). [PDF]
  
  
• TimberSleuth: Visual Anomaly Detection with Human Feedback for Mitigating the Illegal Timber Trade, Information Visualization, 2023 (with D. Datta and others). [PDF]
  
  
• Using Sensitivity Analyses to understand Bistable System Behavior, BMC Bioinformatics, 2023 (with V. Sreedharan and U.S. Bhalla). [PDF]
  
  
• Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency, in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), Toronto, Canada, July 2023 (with M. Sharma and N. Murallidhar). [PDF]
  
  
• Redrawing Public School Boundaries: An Intersection of Geography, Education Policy, and Computer Science, in Proceedings of the 21st European Conference on Computer-Supported Cooperative Work (ECSCW’23), Trondheim, Norway, June 2023 (with A. Sistrunk and others). [PDF]
  
  
• EiNNs: Epidemiologically-Informed Neural Networks, in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI’23), Feb 2023 (with B. Adhikari and others). [PDF]
  
  
• Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives, in Proceedings of the Thirteenth AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI'23), Washington, DC, Feb 2023. [PDF]
  
  
• Memetic Algorithms for Spatial Partitioning Problems, ACM Transactions on Spatial Algorithms and Systems, July 2023 (with S. Biswas and others). [PDF]
  
  

• Improving Zero-Shot Event Extraction via Sentence Simplification, in Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASEEMNLP’22), Abu Dhabi, Dec 2022 (with S. Mehta and H. Rangwala). [arXiv]
  
  
• Knowledge-Guided Transfer Learning for Modeling Subsurface Phenomena under Data Paucity, in Proceedings of the NeurIPS Workshop on AI for Science: Progress and Promises, Nov–Dec 2022 (with N. Muralidhar and others). [PDF]
  
  
• Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic (with M. Sharma and N. Muralidhar), in Proceedings of the NeurIPS Workshop on Math-AI: Toward Human-Level Mathematical Reasoning, Nov–Dec 2022. [PDF]
  
  
• Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback, in Proceedings of the IEEE International Conference on Data Mining (ICDM'22), Nov--Dec 2022 (with G. Rathinavel and others). [PDF]
  
  
• Identifying Geopolitical Event Precursors using Attention-based LSTMs, Frontiers in Artificial Intelligence, 2022 (with K.S.M. Tozammel Hossain and others). [PDF]
  
  
• Framing Algorithmic Recourse for Anomaly Detection, in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'22), Washington, DC, Aug 2022 (with D. Datta and F. Chen). [PDF]
  
  
• Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions, in Proceedings of the KDD'22 International Workshop on Data-driven Science of Science, Washington, DC, Aug 2022 (with R. Youssef and others). [PDF]
  
  
• Redistricting Practices in Public Schools: Social Progress or Necessity?, in Proceedings of the 20th European Conference on Computer-Supported Cooperative Work (ECSCW'22) - Posters/Demos Track, June-July 2022, Portugal (with A. Sistrunk and others). [PDF]
  
  
• Spatio-temporal Event Forecasting using Incremental Multi-source Feature Learning, ACM Transactions on Knowledge Discovery from Data, Vol. 16, No. 2, Apr 2022. [PDF]

• Deep Diffusion-based Forecasting of COVID-19 by incorporating Network-level Mobility Information, in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'21), Hague, Netherlands, 2021 (with P. Roy and others). [PDF]
  
  
• Racism is a Virus: Anti-Asian Hate and Counterspeech in Social Media during the COVID-19 Crisis, in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'21), Hague, Netherlands, 2021 (with S. Kumar and others). [PDF]
  
  
• Distributed Rainwater Harvesting: Novel Approach to Rainwater Harvesting Systems for Single-Family Households, ASCE Journal of Water Resources Planning and Management, Vol. 147, No. 10, Oct 2021 (with M. Semaan and others). [PDF]
  
  
• PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields, in Proceedings of the IEEE International Conference on Data Mining (ICDM'21), Auckland, NZ, 2021 (with N. Muralidhar and others). [PDF]
  
  
• T^3: Domain-Agnostic Neural Time Series Narration, in Proceedings of the IEEE International Conference on Data Mining (ICDM'21), Auckland, NZ, 2021 (with M. Sharma and J. Brownstein). [PDF]
  
  
• Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores, in Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust (HOST'21), Washington, DC, Dec 2021. [PDF]
  
  
• SWITCHES: Searchable Web Interface for Topologies of CHEmical Switches, Bioinformatics, Vol. 37, No. 16, pages 2504-2505, Aug 2021 (with U.S. Bhalla and others). [PDF]
  
  
• STAN: Synthetic Network Traffic Generation with Generative Neural Models, in Proceedings of the KDD Workshop on Deployable Machine Learning for Security Defense (MLHat), Aug 2021 (with S. Zu and others). [arXiv]
  
  
• Neural Abstractive Text Summarization with Sequence-to-Sequence Models, ACM/IMS Transactions on Data Science, 2021 (with T. Shi and others). [PDF]
  
  
• A School Redistricting Integer Programming Model for Achieving Connected School Attendance Zones, in Proceedings of the 19th International Conference on Scientific Computing (CSC'21), Las Vegas, NV, 6 pages, June 2021 (with J.C. Detwiler and others). [PDF]
  
  
• Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19, in Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Feb 2021 (with A. Rodriguez and others). [PDF]
  
  
• Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications, in Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Feb 2021 (with T. Ji and others). [PDF]
  
  
• Once upon a Time in Visualization: Understanding the use of Textual Narratives for Causality, IEEE Transactions on Visualization and Computer Graphics, 2021 (with A. Choudhry and others). [PDF]
  
  
• Using AntiPatterns to avoid MLOps Mistakes, in Proceedings of the KDD Workshop on ML in Fiannce, Aug 2021 (with H. McCormick and others). [arXiv]

• Networked Experiments and Modeling for Producing Collective Identity in a Group of Human Subjects Using an Iterative Abduction Framework, Social Network Analysis and Mining, 2020 (with M. Marathe and others). [PDF]
  
  
• Cut-n-Reveal: Time-Series Segmentations with Explanations, ACM Transactions on Intelligent Systems and Technology, 2020, (with N. Muralidhar and others). [PDF]
  
  
• Data Analysis and Modeling Pipelines for Controlled Networked Social Science Experiments, PLoS ONE, Vol. 15, No. 11, Nov. 2020 (with V. Cedeno-Mieles and many others). [PDF]
  
  
• Physics Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems Big Data, 2020 (with N. Muralidhar and others). [PDF]
  
  
• Graph Convolutional Networks with Deep Kalman Filtering for Traffic Speed Prediction, in Proceedings of the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2020), Seattle , WA, Nov 2020 (with F. Chen and others). [PDF]
  
  
• Incorporating Domain Knowledge into Memetic Algorithms for Solving Spatial Optimization Problems, in Proceedings of the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2020), Seattle , WA, Nov 2020 (with S. Biswas and others). Best Paper Award. [PDF]
  
  
• Incorporating Expert Guidance in Epidemic Forecasting, in Proceedings of epiDAMIK 3.0: The 3rd International Workshop on Epidemiology meets Data Mining and Knowledge Discovery at KDD'20, San Diego, CA, Aug 2020 (with A. Rodriguez and others). [PDF]
  
  
• RAD: Rapid Automobile Data Analytics Framework for Structured Data, in Proceedings of the 9th SIGKDD International Workshop on Urban Computing (UrbComp’20), San Diego, CA, Aug 2020 (with N. Muralidhar and others). [PDF]
  
  
• Detecting Media Self-Censorship without Explicit Training Data, in Proceedings of the SIAM International Conference on Data Mining (SDM 2020), Cincinatti, OH, May 2020 (with R. Tao and others). [PDF]
  
  
• PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly, Proceedings of the SIAM International Conference on Data Mining (SDM 2020), Cincinatti, OH, May 2020 (with N. Muralidhar and others). [PDF]
  
  
• Detecting Suspicious Timber Trades, in Proceedings of the Thirty-Second Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-20), New York, NY, Feb 2020 (with D. Datta and others). [PDF]
  
  
• Geospatial Clustering for Balanced and Proximal Schools, in Tenth AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-20), New York, NY, Feb 2020 (with S. Biswas and others). [PDF]
  
  
• Optimal Sizing of Rainwater Harvesting Systems for Domestic Water Usage: A Systematic Literature Review, Resources, Conservation, and Recycling: X, Vol. 6, 12 pages, May 2020 (with M. Semaan and others). [PDF]
  
  
• Online Epidemiological Deep Modeling on Disease Contact Networks, Geoinformatica, Vol. 24, No. 2, pages 443-475, Apr 2020 (with L. Zhao and others). [PDF]
  
  
• Deep Reinforcement Learning For Sequence-to- Sequence Models, IEEE Transactions on Neural Networks and Learning Systems, 2020 (with Y. Keneshloo and others). [PDF]
  
  

• ProtTox: Toxin identification from Protein Sequences, in Proceedings of the 14th Machine Learning in Computational Biology (MLCB) Meeting, NeurIPS'19, Dec 2019 (with S. Muthiah and others). [PDF]
  
  
• Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach, in Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, Dec 2019 (with N. Muralidhar and others). [PDF]
  
  
• Imputing Data for the Fragile Families Challenge: Identifying Similar Survey Questions with Semi-Automated Methods, Socius, 2019 (with B.J. Goode and D. Datta). [PDF]
  
  
• On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game, in Proceedings of the Winter Simulation Conference, National Harbor, MD, Dec 2019 (with Z. Hu and others). [PDF]
  
  
• REGAL: A Regionalization Framework for School Boundaries, in Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'19), Chicago, IL, Nov 2019 (with S. Biswas and others). [PDF]
  
  
• NActSeer: Predicting User Actions in Social Networks using Graph Augmented Neural Networks, in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, pages 1793-1802, Nov 2019 (with M.R. Islam and S. Muthiah). [PDF]
  
  
• Mechanistic and Data-Driven Agent-Based Models to explain Human Behavior in Online Networked Group Anagram Games, in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'19), Aug 2019 (with V. Cedeno-Mieles and others). [PDF]
  
  
• Feature Driven Learning Framework for Cybersecurity Event Detection, in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'19), Aug 2019 (with T. Ji and others). [PDF]
  
  
• EpiDeep: Exploiting Embeddings for Epidemic Forecasting, in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'19), Anchorage, AK, Aug 2019 (with B. Adhikari and others). [PDF]
  
  
• Mitigating Uncertainty in Document Classification, in Proceedings of NAACL-HLT 2019, (with X. Zhang and others). [PDF]
  
  
• DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems, in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, Aug 2019 (with N. Muralidhar and S. Muthiah). [PDF]
  
  
• Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks, in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, Aug 2019 (with T. Ji and others). [PDF]
  
  
• Event Detection using Hierarchical Multi-Aspect Attention, in Proceedings of the Web Conference (WWW'2019), San Francisco, pages 3079--3085, May 2019 (with S. Mehta and H. Rangwala). [PDF]
  
  
• Deep Transfer Reinforcement Learning for Text Summarization, in Proceedings of the SIAM International Conference on Data Mining (SDM'19), Calgary, Canada, May 2019 (with Y. Keneshloo and C.K. Reddy). [PDF]
  
  
• Unified Approach to Dependent and Disparate Clustering of Nonhomogeneous Data, International Journal of Applied Mathematics, Vol. 32, No. 3, pages 391-422, 2019 (with D. Easterling, M.S. Hossain, L.T. Watson, and others). [PDF]
  
  
• A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors, IEEE Transactions on Knowledge and Data Engineering, 2019 (with F. Chen and others). [PDF]
  
  
• The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite Graphs, IEEE Transactions on Visualization and Computer Graphics, 2019 (with M. Sun and others). [PDF]
  
  

• Results from the Second Year of a Collaborative Effort to Forecast Influenza Seasons in the United States, Epidemics, 2018 (with M. Biggerstaff and others). [PDF]
  
  
• Identifying Distracted and Drowsy Drivers using Naturalistic Driving Data, in Proceedings of the IEEE International Conference on Big Data (IEEE BigData'18), Seattle, WA, Dec 2018 (with B. Mayer and others). [PDF]
  
  
• Incorporating Prior Domain Knowledge into Deep Neural Networks, in Proceedings of the IEEE International Conference on Big Data (IEEE BigData'18), Seattle, WA, Dec 2018 (with N. Muralidhar and others). [PDF]
  
  
• What to know before Forecasting the Flu, PLoS Computational Biology, Vol. 14, No. 10, Oct 2018 (with P. Chakraborty and others). [PDF]
  
  
• DeepDiffuse: Predicting the ‘Who’ and ‘When’ in Cascades, in Proceedings of the IEEE International Conference on Data Mining (ICDM'18), Singapore, Nov 2018 (with M.R. Islam and others). [PDF]
  
  
• Pipelines and their Compositions for Modeling and Analysis of Controlled Online Networked Social Science Experiments, in Proceedings of the Winter Simulation Conference (WSC'2018), Gothenburg, Sweden, Dec 2018 (with V. Cedeno-Mieles and others). [PDF]
  
  
• Forecasting the Flu: Designing Social Network Sensors for Epidemics, in Proceedings of the ACM SIGKDD Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 2018) London, UK, Aug 2018 (with H. Shao and others). [PDF]
  
  
• Real-time Forecasting of On-Time Performance in Metrorail Systems, in Proceedings of the 7th SIGKDD International Workshop on Urban Computing (UrbComp 2018), London, UK, Aug 2018 (with R. Soper and others). [PDF]
  
  
• Generative Modeling of Human Behavior and Social Interactions using Abductive Analysis, in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'18), Barcelona, Spain, Aug 2018 (with M. Marathe and others). [PDF]
  
  
• Multi-task Learning for Transit Service Disruption Detection, in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'18), Barcelona, Spain, Aug 2018 (with T. Ji and others). [PDF]
  
  
• When do Crowds turn Violent? Uncovering Triggers from Media, in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'18), Barcelona, Spain, Aug 2018 (with Y. Ning and others). [PDF]
  
  
• Sparse Estimation of Multivariate Poisson Log-Normal Models from Count Data, Statistical Analysis and Data Mining, 2018 (with H. Wu and X. Deng). [PDF]
  
  
• Social Media based Simulation Models for Understanding Disease Dynamics, in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, July 2018 (with T. Hua and others). [PDF]
  
  
• Forecasting Gang Homicides with Multi-level Multi-task Learning, in Proceedings of the International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction, and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2018), Washington, DC, May 2018 (with N. Akhter, H. Rangwala, and others). [PDF]
  
  
• Distributed Representations of Signed Networks, in Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'18), Melbourne, Australia, June 2018 (with M.R. Islam and B.A. Prakash). [PDF]
  
  
• Sub2Vec: Feature Learning for Subgraphs, in Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'18), Melbourne, Australia, June 2018 (with B. Adhikari and others). [PDF]
  
  
• STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting, Proceedings of the SIAM International Conference on Data Mining (SDM'18), Apr 2018 (with Y. Ning and others). [PDF]
  
  
• Generating Realistic Synthetic Population Datasets, ACM Transactions on Knowledge Discovery from Data, Vol. 12, No. 4, June 2018 (with H. Wu and others). [PDF]
  
  
• Long-Span Program Behavior Modeling and Attack Detection, ACM Transactions on Privacy and Security, 2018 (with X. Shu and others). [PDF]
  
  
• illiad: Intelligent Invariant and Anomaly Detection in Cyber Physical Systems, ACM Transactions on Intelligent Systems and Technology, 2018 (with N. Muralidhar and others). [PDF]
  
  
• Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models, ACM Transactions on Knowledge Discovery from Data, 2018 (with H. Wu and others). [PDF]
  
  

• Toward a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics, IEEE Transactions on Visualization and Computer Graphics, Oct 2017 (with J. Wenskovitch and others). [PDF]
  
  
• Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data, in Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM'17), Singapore, Nov 2017 (with X. Zhang and others). [PDF]
  
  
• Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media, in Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM'17), Singapore, Nov 2017 (with R. Khandpur and others). [PDF]
  
  
• Spatial Event Forecasting in Social Media with Geographically Hierarchical Regularization, Proceedings of the IEEE, Vol. 105, No. 10, pages 1953-1970, Oct 2017. (with L. Zhao and others).
  
  
• Feature Constrained Multi-task Learning Models for Spatiotemporal Event Forecasting, IEEE Transactions on Knowledge and Data Engineering, 2017, to appear (with L. Zhao and others). [PDF]
  
  
• A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation, in Proceedings of the 11th ACM Conference on Recommender Systems (RecSys'17), Como, Italy, Aug 2017 (with Y. Ning and others). [PDF]
  
  
• GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources, in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), Halifax, Nova Scotia, Canada, Aug 2017 (with S. Ghosh and others). [PDF]
  
  
• A Framework for Evaluating Epidemic Forecasts, BMC Infectious Diseases, 2017 (with F. Tabataba and others). [PDF]
  
  
• Absenteeism Detection in Social Media, in Proceedings of the SIAM International Conference on Data Mining (SDM'17), Houston, TX, Apr 2017 (with F. Jin and others). [PDF]
  
  
• Pruning Decision Trees via Max-Heap Projection, in Proceedings of the SIAM International Conference on Data Mining (SDM'17), Houston, TX, Apr 2017 (with Z. Nie and others). [PDF]
  
  
• Forecasting Rare Disease Outbreaks using Open Source Indicators, Statistical Analysis and Data Mining, 2017 (with T. Rekatsinas, S. Ghosh, and others).
  
  
• Determining Relative Airport Threats from News and Social Media, in Proceedings of the Twenty-Ninth Conference on Innovative Applications of AI (IAAI'17), San Francisco, CA, Feb 2017 (with R. Khandpur and others). [PDF]
  
  
• Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks, Scientific Reports, Vol 7, No. 40841, 2017 (with S. Ghosh and others). [PDF]
  
  

• Predicting the Shape and Peak Time of News Article Views, in Proceedings of the IEEE BigData Workshop on Real-time and Stream Analytics in Big Data, 2016 (with Y. Keneshloo and others). [PDF]
  
  
• Multi-resolution Spatial Event Forecasting in Social Media, in Proceedings of the IEEE International Conference on Data Mining (ICDM'16), Barcelona, Spain, Dec 2016 (with L. Zhao and others). [PDF]
  
  
• Online Spatial Event Forecasting in Microblogs, ACM Transactions on Spatial Algorithms and Systems, Vol. 2, No. 4, Nov 2016 (with L. Zhao and others). [PDF]
  
  
• Causality-based Sensemaking of Network Traffic for Android Application Security, in Proceedings of the 9th ACM Workshop on Artificial Intelligence and Security (AISec 2016) (with H. Zhang and D. Yao). [PDF]
  
  
• Characterizing Diseases from Unstructured Text: A Vocabulary Driven word2vec Approach, in Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, IN, Oct 2016 (with S. Ghosh and others). [PDF]
  
  
• A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events, in Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, IN, Oct 2016 (with W. Wang and others). [PDF]
  
  
• Automated Storyline Generation with help from Twitter, in Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, IN, Oct 2016 (with T. Hua and others). [PDF]
  
  
• Growing pains for Global Monitoring of Social Events, Science, Vol. 353, No. 6307, pages 1502-1503, Sep 2016 (with W. Wang and others). [PDF]
  
  
• Capturing Planned Protests from Open Source Indicators, AI Magazine, 2016 (with S. Muthiah and others). [PDF]
  
  
• EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System, in Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16), San Francisco, CA, Aug 2016 (with S. Muthiah and others). [PDF]
  
  
• EMBERS AutoGSR: Automated Coding of Civil Unrest Events, in Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16), San Francisco, CA, Aug 2016 (with P. Saraf). [PDF]
  
  
• Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting, in Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16), San Francisco, CA, Aug 2016 (with L. Zhao and others). [PDF]
  
  
• Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning, in Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16), San Francisco, CA, Aug 2016 (with Y. Ning and others). [PDF]
  
  
• Multi-source Models for Civil Unrest Forecasting, Social Network Analysis and Mining, Vol 6. No. 1, July 2016 (with G. Korkmaz and others).
  
  
• Time-Series Analysis of Blog and Metaphor Dynamics for Event Detection, in Proceedings of the Cross-Cultural Decision-Making (CCDM) Conference, Orlando, FL, July 2016 (with B.J. Goode and others). Honorable Mention for Best Paper Award. [PDF]
  
  
• Event Detection from Blogs using Large Scale Analysis of Metaphorical Usage, in Proceedings of the International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BriMS) Washington, DC, June-July 2016 (with B.J. Goode and others). [PDF]
  
  
• Kalman Filters for Dynamic and Secure Smart Grid State Estimation, Intelligent Industrial Systems, Vol. 1, No. 1, pages 29-36, June 2016 (with J. Zhang and others).
  
  
• Seeing the Forest for the Trees: New Approaches to Forecasting Cascades, Proceedings of the 8th International ACM Web Science Conference 2016 (ACM WebSci'16), Hanover, Germany, May 2016. (with S. Krishnan and others). [PDF]
  
  
• Predicting the Popularity of News Articles, in Proceedings of the SIAM International Conference on Data Mining (SDM'16), Miami, FL, May 2016 (with Y. Keneshloo and others). [PDF]
  
  
• Usability Challenges underlying Bicluster Interaction for Sensemaking, in Proceedings of the Human Centred Machine Learning Workshop, CHI 2016, San Jose, May 2016 (with M. Sun and others). [PDF]
  
  
• Topical Analysis of Interactions between News and Social Media, in Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16), Phoenix, AZ, Feb 2016 (with T. Hua and others). [PDF]
  
  
• Efficient Nonparametric Subgraph Detection using Tree Shaped Priors, in Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16), Phoenix, AZ, Feb 2016 (with F. Chen and others). [PDF]
  
  
• Inferring Multi-dimensional Ideal Points for US Supreme Court Justices, in Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16), Phoenix, AZ, Feb 2016 (with M. Islam and others). [PDF]
  
  
• Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior, in Proceedings of the Twenty-eighth Conference on Innovative Applications of Artificial Intelligence (IAAI'16), Phoenix, AZ, Feb 2016 (with P. Khadivi). [PDF]

• How Events Unfold: Spatiotemporal Mining in Social Media, ACM SIGSPATIAL Newsletter, Vol. 7, No. 3, pages 19-25, Nov 2015 (with T. Hua and others). [PDF]
  
  
• Scalable Traffic Dependence Analysis for Detecting Android Malware Activities, in Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security (AISec 2015) (with H. Zhang and D. Yao), Oct 2015. [PDF]
  
  
• Pricing a Protest: Forecasting the Dynamics of Civil Unrest Activity in Social Media, PLoS ONE, Vol. 10, No. 10 (with B.J. Goode and others). [PDF]
  
  
• Bayesian Model Fusion for Forecasting Civil Unrest, Technometrics, 2015 (with A. Hoegh and others). [PDF] Recipient of Youden Award, American Statistical Association..
  
  
• Syndromic Surveillance of Flu on Twitter using Weakly Supervised Temporal Topic Models, Data Mining and Knowledge Discovery, 2015 (with L. Chen and others).
  
  
• Dynamic Theme Tracking in Twitter, in Proceedings of the IEEE International Conference on Big Data (IEEE BigData), Santa Clara, CA, Oct-Nov 2015 (with L. Zhao and others). [PDF]
  
  
• SimNest: Social Media Nested Epidemiological Simulation via Online Semi-supervised Deep Learning, in Proceedings of the 15th IEEE International Conference on Data Mining (ICDM 2015), Atlantic City, NJ, Nov 2015 (with L. Zhao and others). [PDF]
  
  
• Unearthing Stealthy Program Attacks buried in Extremely Long Execution Paths, in Proceedings of the 22nd ACM Symposium on Computer and Communications Security (CCS 2015), Denver, CO, Oct 2015 (with X. Shu and D. Yao). [PDF]
  
  
• Model-based Forecasting of Significant Societal Events, IEEE Intelligent Systems, 2015 (with the EMBERS PIs). [PDF]
  
  
• BiSet: Semantic Edge Bundling with Biclusters for Sensemaking, in dual track of Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST'15) and IEEE Transactions on Visualization and Computer Graphics, Oct 2015 (with M. Sun and others). [PDF]
  
  
• Time Series Forecasting via Noisy Channel Reversal, in Proceeding of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2015), Boston, MA, Sep 2015 (with P. Khadivi and others). [PDF]
  
  
• Uncovering News-Twitter Reciprocity via Interaction Patterns, in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'15), Paris, Aug 2015 (with Y. Ning and others). [PDF]
  
  
• Combining Heterogeneous Data Sources for Civil Unrest Forecasting, in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'15), Paris, Aug 2015 (with G. Korkmaz and others). [PDF]
  
  
• Forecasting Social Unrest using Activity Cascades, PLoS ONE, Vol. 10, No. 6, June 2015 (with J. Cadena and others). [PDF]
  
  
• Concurrent Inference of Topic Models and Distributed Vector Representations in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'15), Porto, Portugal, Sep 2015 (with D. Shamanta and others). [PDF]
  
  
• Characterizing Taxi Flows in New York City, in Proceedings of the 4th SIGKDD International Workshop on Urban Computing (UrbComp 2015), Sydney, Australia, Aug 2015 (with M. Momtazpour). [PDF]
  
  
• Analyzing Invariants in Cyber Physical Systems using Latent Factor Regression, in Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Sydney, Australia, Aug 2015 (with M. Montazpour and others). [PDF]
  
  
• Multi-Task Learning for Spatio-Temporal Event Forecasting, in Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Sydney, Australia, Aug 2015 (with L. Zhao and others). [PDF]
  
  
• Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction, in Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Sydney, Australia, Aug 2015 (with Z. Wang, P. Chakraborty, and others). [PDF]
  
  
• Online Denoising of Discrete Noisy Data, in Proceedings of the IEEE International Symposium on Information Theory (ISIT'15), Hong Kong, 6 pages, June 2015. [PDF]
  
  
• Monitoring Disease Trends using Hospital Traffic Data from High Resolution Satellite Imagery: A Feasibility Study, Scientific Reports, 2015 (with E. Nsoesie and others). [PDF]
  
  
• Spatio-temporal Event Forecasting in Social Media, in Proceedings of the SIAM International Conference on Data Mining (SDM'15), Vancouver, BC, Apr-May 2015 (with L. Zhao and others). [PDF]
  
  
• SourceSeer: Forecasting Rare Disease Outbreaks using Multiple Data Sources, in Proceedings of the SIAM International Conference on Data Mining (SDM'15), Vancouver, BC, Apr-May 2015 (with T. Rekatsinas, S. Ghosh, and others). Best Research Paper Award. [PDF]
  
  
• ThemeDelta: Dynamic Segmentations over Temporal Topic Models, IEEE Transactions on Visualization and Computer Graphics, Vol. 21, No. 5, pages 672-685, May 2015 (with S. Gad and others). [PDF]
  
  
• Planned Protest Modeling in News and Social Media, in Proceedings of the Twenty-Seventh Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-15), Austin, TX, Jan 2015 (with S. Muthiah and others). Deployed Application Award. [PDF]
  
  
• Studying Constrained Clustering Problems using Homotopy Maps, in Proceedings of the 14th INFORMS Computing Society Conference, pages 88-102, Richmond, Jan 2015 (with L.T. Watson and others).

• Misinformation Propagation in the Age of Twitter, IEEE Computer, Vol. 47, No. 12, pages 90-94, Dec 2014 (with F. Jin and others). [PDF]
  
  
• Forecasting Significant Societal Events using the EMBERS Streaming Predictive Analytics System, Big Data, Vol. 2, No. 4, pages 185-195, Dec 2014 (with A. Doyle and others).
  
  
• Flu Gone Viral: Syndromic Surveillance of Flu on Twitter using Temporal Models, in IEEE International Conference on Data Mining (ICDM'14), Shenzhen, China, Dec 2014 (with L. Chen and others). [PDF]
  
  
• Safeguarding Abila through Multiple Data Perspectives, in Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST'14), Paris, pages 307-308, Nov 2014 (with P. Saraf and P. Butler). VAST 2014 Grand Challenge Award. [PDF]
  
  
• Safeguarding Abila: Real-time Streaming Analysis, in Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST'14), Paris, pages 385-386, Nov 2014 (with P. Saraf and P. Butler). [PDF]
  
  
• Safeguarding Abila: Spatio-Temporal Activity Modeling, in Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST'14), Paris, pages 359-360, Nov 2014 (with P. Saraf and P. Butler). [PDF]
  
  
• Safeguarding Abila: Discovering Evolving Activist Networks, in Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST'14), Paris, pages 327-328, Nov 2014 (with P. Saraf and P. Butler). [PDF]
  
  
• Forecasting Location-based Events with Spatio-temporal Storytelling, in Proceedings of 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2014), Dallas, TX, Nov 2014 (with R.D. Santos and others). [PDF]
  
  
• Understanding the Role of Medical Experts during a Public Health Crisis: Digital Tools and Library Resources for Research on the 1918 Spanish Influenza, in Proceedings of the 2nd Workshop on Big Humanities Data, IEEE BigData'14, Washington, DC, Oct 2014 (with E.T. Ewing and others). [PDF]
  
  
• The EMBERS Architecture for Streaming Predictive Analytics, in Proceedings of the IEEE International Conference on Big Data, Washington, DC, Oct 2014 (with A. Doyle and others). [PDF]
  
  
• Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling, PLoS ONE, Vol. 9, No. 10, Oct 2014 (with L. Zhao and others). [PDF]
  
  
• Discovering Evolving Political Vocabulary in Social Media, in Proceedings of the ACM/IEEE International Conference on Behavioral, Economic, Socio-Cultural Computing (BESC’14), Shanghai, China, Oct 2014 (with A. Mahendiran, W. Wang, and others). [PDF]
  
  
• Follow the $$$: Networks and Flows of Disaster Recovery Funding, in Proceedings of the ACM SIGKDD Workshop on Data Mining for the Social Good, New York, NY, Aug 2014 (with R. Khandpur and J. Bohland). [PDF]
  
  
• Uncovering the Plot: Detecting Surprising Coalitions of Entities in Multi-Relational Schemas, in combined track of European Conference on Machine Learning/Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'14) and Data Mining and Knowledge Discovery journal, Sep 2014 (with H. Wu and others). [PDF]
  
  
• Applying MetaMap to Medline for identifying Novel Associations in a Large Clinical Dataset: A Feasibility Analysis, Journal of the American Medical Informatics Association, 2014 (with D. Hanauer and others).
  
  
• A Five Level Design Framework for Bicluster Visualizations, in dual track of Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST'14) and IEEE Transactions on Visualization and Computer Graphics, Nov 2014 (with M. Sun and C. North). [PDF]
  
  
• SansText: Classifying Temporal Topic Dynamics of Twitter Cascades Without Tweet Text, in IEEE/ACM International Conference on Advances in Social Network Analyss and Mining (ASONAM'14), Beijing, China, 2014 (with S. Sundareisan, B.A. Prakash, and others). [PDF]
  
  
• Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion, in Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'14), Aug 2014(with Fang Jin and others). [PDF]
  
  
• `Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators, in Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'14), Aug 2014 (with the EMBERS team). [PDF]
  
  
• Charging and Storage Infrastructure Design for Electric Vehicles, ACM Transactions on Intelligent Systems and Technology, 2014 (with M. Momtazpour and others). [PDF]
  
  
• AutoLCA: A Framework for Sustainable Redesign and Assessment of Products, ACM Transactions on Intelligent Systems and Technology, Vol. 5, No. 2, Apr 2014 (with M.S. Hossain and others). [PDF]
  
  
• Satellite Imagery Analysis: What can Hospital Parking Lots tell us about a Disease Outbreak?, IEEE Computer, Vol. 47, No. 4, pages 94-97, Apr 2014 (with P. Butler and others). [PDF]
  
  
• The Human is the Loop: New Directions for Visual Analytics, Journal of Intelligent Information Systems, Vol. 43, No. 3, pages 411-435, Dec 2014 (with A. Endert and others). Invited Paper for 30th Anniversary Issue of JIIS [PDF]
  
  
• A Systematic Review of Studies on Forecasting the Dynamics of Influenza Outbreaks, Influenza and Other Respiratory Viruses, 2014 (with E. Nsoesie, J. Brownstein, and M. Marathe). [PDF]
  
  
• Detection of Stealthy Malware Activities with Traffic Causality and Scalable Triggering Relation Discovery, in Proceedings of the 9th ACM Symposium on Information, Computer, and Communications Security (ASIACCS 2014), Kyoto, Japan, June 2014 (with D. Yao and H. Zhang). [PDF]
  
  
• Detecting and Forecasting Domestic Political Crises: A Graph-based Approach, in Proceedings of the ACM Web Science Conference (WebSci 2014), Bloomington, IN, June 2014 (with Y. Keneshloo and others). [PDF]
  
  
• An Integrated Data Mining Framework for Analysis and Prediction of Battery Characteristics, in Proceedings of IEEE Innovative Smart Grid Technologies Conference - Asia (ISGT Asia), Kuala Lumpur, Malaysia, May 2014 (with M. Momtazpour and R. Sharma). [PDF]
  
  
• ReCloud: Semantics-Based Word Cloud Visualization of User Reviews, in Proceedings of Graphics Interface 2014, Montreal, Canada, May 2014 (with J. Wang and others). [PDF]
  
  
• The Role of Interactive Biclusters in Sensemaking, in Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI 2014) - Papers and Notes, Toronto, Canada, April-May 2014 (with M. Sun and others). [PDF]
  
  
• Modeling to Predict Cases of Hantavirus Pulmonary Syndrome in Chile, PLoS Neglected Tropical Diseases, Vol. 8, No. 4, Apr 2014 (with E. Nsoesie and others). [PDF]
  
  
• Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions, in Proceedings of the SIAM International Conference on Data Mining (SDM 2014), Philadelphia, PA, April 2014 (with P. Chakraborty and others). [PDF]
  
  
• The Dynamics of Competing Cascades in Social Media: Applications to Agenda Setting, in Proceedings of the WSDM 2014 Workshop on Diffusion Networks and Cascade Analytics, New York, NY, 4 pages, Feb 2014 (with S. Krishnan and J. Cadena). [PDF]

• Analyzing Civil Unrest through Social Media, IEEE Computer, Vol. 46, No. 12, pages 90-94, Dec 2013 (with T. Hua and others). [PDF]
  
  
• Forecasting Rare Disease Outbreaks with Spatio-temporal Topic Models, in NIPS 2013 Topic Modeling Workshop, Lake Tahoe, NV, Dec 2013 (with S. Ghosh, T. Rekatsinas, and others). [PDF]
  
  
• Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery, in Proceedings of the IEEE International Conference on Data Mining (ICDM'13), Dallas, TX, pages 360-369, Dec 2013 (with J. Kim and others). [PDF]
  
  
• A Semantic-aware Approach to Reasoning about Network Traffic Relations, in Proceedings of the 20th ACM Conference on Computer and Communications Security, Berlin, Germany, pages 1375-1378, Nov 2013 (with H. Zhang and D. Yao). [PDF]
  
  
• Describing the Relationship between Cat Bites and Human Depression using Data from an Electronic Health Record, PLoS ONE, Vol. 8, No. 8, 10 pages, Aug 2013 (with D. Hanauer and L. Seyfried). [PDF]
  
  
• A General Streaming Algorithm for Pattern Discovery, Knowledge and Information Systems, Vol. 37, No. 3, pages 585-610, Dec 2013. (with D. Patnaik and others). Special Issue of Best Papers from ICDM'12. [PDF]
  
  
• Bixplorer: Visual Analytics with Biclusters, IEEE Computer, Vol. 46, No. 8, pages 90-94, Aug 2013 (with P. Fiaux and others). [PDF]
  
  
• Epidemiological Modeling of News and Rumors on Twitter, in Proceedings of the 7th ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD 2013), Chicago, IL, 2013 (with F. Jin and others). Best Paper Award. [PDF]
  
  
• STED: Semi-Supervised Targeted Event Detection, in Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining – Demo Track, pages 1466-1469, Aug 2013. [PDF]
  
  
• Forex-Foreteller: Currency Trend Modeling using News Articles, in Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining – Demo Track, pages 1470-1473, Aug 2013. [PDF]
  
  
• Recent Advances in Computational Epidemiology, IEEE Intelligent Systems, Vol. 28, No. 4, pages 96-101, July-Aug 2013. (with M. Marathe). [PDF]
  
  
• Gaining Insights into Epidemics by Mining Historical Newspapers, IEEE Computer, Vol. 46, No. 6, pages 68-72, June 2013 appear (with E.T. Ewing and S. Gad). [PDF]
  
  
• Using Hierarchical Data Mining to Characterize Performance of Wireless System Configurations, Advances in Engineering Software, Vol. 65, pages 66-77, Nov 2013. (with A. Verstak and others). [PDF]
  
  
• How Analysts Cognitively 'Connect the Dots', in Proceedings of the IEEE Intelligence and Security Informatics Conference (ISI'13), Seattle, WA, pages 24-26, June 2013 (with L. Bradel, C. North, and others). [PDF]
  
  
• Mining Posets from Linear Orders, Discrete Mathematics, Algorithms, and Applications, Vol. 5, No. 4, 15 pages, Dec 2013. (with L.S. Heath and others). [PDF]
  
  
• Improved Multiple Sequence Alignments using Coupled Pattern Mining, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 10, No. 5, pages 1098-1112, Sep 2013 (with K.S.M. Tozammel Hossain and others). [PDF]
  
  
• How to "Alternatize" a Clustering Algorithm, Data Mining and Knowledge Discovery, Vol. 27, No. 2, pages 193-224, Sep 2013. (with M. Shahriar Hossain and others). [PDF]
  
  
• Clustering with Complex Constraints: Algorithms and Applications, in Proceedings of the Twenty-Seventh Conference on Artificial Intelligence (AAAI'13), Bellevue, WA, July 2013 (with I. Davidson and others). [PDF]
  
  
• A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential and Commercial Buildings, in Proceedings of the Twenty-Seventh Conference on Artificial Intelligence (AAAI'13), Bellevue, WA, July 2013 (with H. Shao and M. Marwah). Best Student Paper Award. [PDF]
  
  
• Probability-one Homotopy Maps for Tracking Constrained Clustering Solutions, in Proceedings of the High Performance Computing Symposium, Spring Simulation Multiconference, pages 142-149, Apr 2013. [PDF]
  
  
• Modeling Temporal Relationships in Large Scale Clinical Associations, Journal of the American Medical Informatics Association, Vol. 20, No. 2, pages 332-341, Feb 2013 (with D. Hanauer). [PDF]
  

• Factorizing Event Sequences, IEEE Computer, Vol. 45, No. 12, pages 73-75, Dec 2012. [PDF]
  
  
• Bridging the Divide in Democratic Engagement: Studying Conversation Patterns in Advantaged and Disadvantaged Communities, in Proceedings of the ASE/IEEE International Conference on Social Informatics, Washington, DC, Dec 2012. [PDF]
  
  
• Parallel Mining of Neuronal Spike Streams on Graphics Processing Units, International Journal of Parallel Programming, Vol. 40, No. 6, pages 605-632, Dec 2012 (with Y. Cao, D. Patnaik, and others). [PDF]
  
  
• Efficient Episode Mining of Dynamic Event Streams, in Proceedings of the IEEE International Conference on Data Mining (ICDM'12), Brussels, Belgium, pages 605-614, Dec 2012 (with D. Patnaik, S. Laxman, and B. Chandramouli). [PDF]
  
  
• Cultivating Emerging and Black Swan Technologies, in Proceedings of the ASME International Mechanical Engineering Congress, Houston, TX, Nov 2012 (with R.L. Mahajan and others). [PDF]
  
  
• Data Mining Solutions for Sustainability Problems, IEEE Potentials, Vol. 31, No. 6, pages 28-34, Nov/Dec 2012 (with M. Marwah, A. Shah, and others). [PDF]
  
  
• Portfolio Mining, IEEE Computer, Vol. 45, No. 10, pages 95-99, Oct 2012 (with K.P.C. Madhavan, A. Johri, and others). [PDF]
  
  
• Improved Multiple Sequence Alignments using Coupled Pattern Mining, in ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB'12), Orlando, FL, pages 28-35, Oct 2012 (with K.S.M. Tozammel Hossain and others). [PDF]
  
  
• Scatter/Gather Clustering: Flexibly Incorporating User Feedback to Steer Clustering Results, in Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST'12), Seattle, WA, Oct 2012 (with M.S. Hossain and others). One of 10 Best Papers from VAST'12 selected for VisWeek 2012 special issue of IEEE Transactions on Visualization and Computer Graphics, Vol. 18, No. 12, pages 2829-2838, 2012. [PDF]
  
  
• The Deshredder: A Visual Analytic Approach to Deconstructing Shredded Documents, in Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST'12), Seattle, WA, Oct 2012 (with P. Butler and P. Chakraborty). [PDF]
  
  
• Spatial Surrogates to Forecast Social Mobilization and Civil Unrests, Position Paper in CCC Workshop on "From GPS and Virtual Globes to Spatial Computing-2020", Washington, DC, Sep 2012 (with F. Chen and others). [PDF]
  
  
• Coordinated Clustering Algorithms to Support Charging Infrastructure Design for Electric Vehicles, in Proceedings of the ACM SIGKDD International Workshop on Urban Computing (UrbComp 2012), Beijing, China, Aug 2012 (with M. Momtazpour and others). [PDF] Best Student Paper Award.
  
  
• Where do I start? Algorithmic Strategies to Guide Intelligence Analysts, in Proceedings of the ACM SIGKDD International Workshop on Intelligence and Security Informatics (ISI-KDD 2012), Beijing, China, 8 pages, Aug 2012 (with H. Wu and others). [PDF]
  
  
• Storytelling in Entity Networks to Support Intelligence Analysts, in Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'12), Beijing, China, pages 1375-1383, Aug 2012 (with M.S. Hossain, P. Butler, A.P. Boedihardjo). [PDF]
  
  
• Fine-grained Photovoltaic Output Prediction using a Bayesian Ensemble, in Proceedings of the 26th Conference on Artificial Intelligence (AAAI'12), Toronto, Canada, 7 pages, July 2012 (with P. Chakraborty, M. Marwah, and M. Arlitt). [PDF]
  
  
• Continuous Iterative Guided Spectral Class Rejection Classification Algorithm, IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 6, pages 2303-2317, June 2012 (with R.D. Phillips, L.T. Watson, and R. Wynne). [PDF]
  
  
• (Hyper) Local News Aggregation: Designing for Social Affordances, in Proceedings of the 13th Annual International Conference on Digital Government Research (dg.o 2012), College Park, MD, pages 30-39, June 2012 (with A. Kavanaugh and others). [PDF]
  
  
• A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation, in Proceedings of the 1st International Workshop on Non-intrusive Load Monitoring, Pittsburgh, PA, May 2012 (with H. Shao and M. Marwah).
  
  
• User Intention-Based Traffic Dependence Analysis for Anomaly Detection, in Proceedings of the Workshop on Semantic Computing and Security (WSCS'12), San Francisco, CA, May 2012 (with H. Zhang, D. Yao, and W. Banick). [PDF]
  
  
• Implementing Modular Adaptation of Scientific Software, Journal of Computational Science, Vol. 3, No. 1-2, pages 28-45, Jan/Mar 2012 (with P. Kang, C.J. Ribbens, and others). [PDF]
  
  
• Visual Exploration of Frequent Patterns in Multivariate Time Series, Information Visualization, Vol. 11, No. 1, pages 71-83, Jan 2012 (with M.C. Hao and others). [PDF]
  
  
• Discovering the Ebb and Flow of Ideas from Text Corpora, IEEE Computer, Vol. 45, No. 1, pages 73-77, Jan 2012 (with J. Jee, B. Mishra, and others). [PDF]
  
  
• Adaptive Code Collage: A Framework to transparently modify Scientific Codes, IEEE/AiP Computing in Science and Engineering, Vol. 14, No. 1, pages 52-63, Jan/Feb 2012 (with P. Kang, C.J. Ribbens, and others). [PDF]
  
  
• Connecting the Dots between PubMed abstracts, PLoS ONE, Vol. 7, No. 1, 23 pages, Jan 2012 (with M.S. Hossain, R.F. Helm, and others). [PDF]

• An Interactive Data Mining Framework for EarthCube, EarthCube White Paper, Nov 2011 (with J. Baker, M. Ruohoniemi). [PDF]
  
  
• Discovering Excitatory Relationships using Dynamic Bayesian Networks, Knowledge and Information Systems, Vol. 29, No. 2, pages 273–303, Nov 2011 (with D. Patnaik and S. Laxman). [PDF]
  
  
• Opportunities and Challenges in Association and Episode Discovery from Electronic Health Records (Trends and Controversies), IEEE Intelligent Systems, Vol. 26, No. 5, pages 83-87, Sep/Oct 2011 (with D. Hanauer, K. Zheng, and B.J. Keller). [PDF]
  
  
• Analyst's Workspace: Protecting Vastopolis, (VAST 2011 Mini-Challenge 3 Award), in Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST'11), Providence, RI, 2 pages, Oct 2011 (with C. Andrews and others). [PDF]
  
  
• Using Data Mining to help design Sustainable Products, IEEE Computer, Vol. 44, No. 8, pages 103-106, Aug 2011 (with M. Marwah and others). [PDF]
  
  
• Using Physicochemical Properties of Amino Acids to induce Graphical Models of Residue Coupling, in Proceedings of the 10th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BioKDD’11), San Diego, CA, Aug 2011 (with K.S.M. Tozammel Hossain and others). [PDF]
  
  
• Helping Intelligence Analysts make Connections, in Proceedings of the AAAI'11 Workshop on Scalable Integration of Analytics and Visualization, San Francisco, CA, Aug 2011. (with M.S. Hossain, C. Andrews, and C. North). [PDF]
  
  
• Experiences with Mining Temporal Event Sequences from Electronic Medical Records: Initial Successes and Some Challenges, in Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'11), San Diego, CA, pages 360-368, Aug 2011 (with D. Patnaik and others). [PDF]
  
  
• Discovering Life Cycle Assessment Trees from Impact Factor Databases, in Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI'11), San Francisco, CA, Aug 2011 (with N. Sundaravaradan, D. Patnaik, M. Marwah, and A. Shah). [PDF]
  
  
• Temporal Data Mining Approaches for Sustainable Chiller Management in Data Centers, ACM Transactions on Intelligent Systems and Technology, Vol. 2, No. 4, Article 34, July 2011. (with D. Patnaik, M. Marwah, and R. Sharma). [PDF]
  
  
• Data Driven Surrogate-based Optimization in the Problem Solving Environment WBCSim, Engineering with Computers, Vol. 27, No. 3, pages 211-223, July 2011. (with L.T. Watson, S. Deshpande, and others). [PDF]
  
  
• Data Mining Approaches to Life Cycle Assessment, in Proceedings of the IEEE International Symposium on Sustainable Systems and Technology (ISSST'11), Chicago, IL, May 2011 (with N. Sundaravaradan, A. Shah, and M. Marwah). [PDF]
  
  
• Maintainable and Reusable Scientific Software Adaptation, in Proceedings of the 10th International Conference on Aspect-Oriented Software Development (AOSD'11), Porto de Galinhas, Brazil, pages 165-176, March 2011 (with P. Kang, E. Tilevich, and S. Varadarajan). [PDF]
  
  
• Temporal Data Mining for Neuroscience, Chapter 15 of GPU Computing Gems, pages 211-230, Feb 2011 (with W. Feng, Y. Cao, and D. Patnaik). [PDF]
  
  
• Visual Analysis of Frequent Patterns in Large Time Series, in Proceedings of the IS&T/SPIE Conference on Visualization and Data Analysis (VDA), San Francisco, CA, Jan 2011 (with M.C. Hao and others). [PDF]
  
  

• The Problem Solving Handbook in Computational Biology and Bioinformatics, co-edited with L.S. Heath, Springer, 347 pages, Oct 2010.
  
  
• Mining Complex Boolean Expressions for Sequential Equivalence Checking, in Proceedings of the 19th Asian Test Symposium (ATS’10), Shanghai, China, pages 442-447, Dec 2010 (with N. Goel, M. Hsiao, and M.J. Zaki). [PDF]
  
  
• Mining Electronic Health Records, IEEE Computer, Vol. 43, No. 10, pages 77-81, Oct 2010 (with D. Hanauer and B.J. Keller). [PDF]
  
  
• Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues, in Proceedings of the 23rd International Conference on Computational Linguistics (COLING'10), Beijing, China, pages 412-420, Aug 2010 (with S. Guo). [PDF]
  
  
• Reverse Engineering Dynamic Temporal Models of Biological Processes and their Relationships, Proceedings of the National Academy of Sciences, USA, Vol. 107, No. 28, pages 12511-12516, July 2010 (with S. Tadepalli, R.F. Helm, B. Mishra, and others). [PDF]
  
  
• Diagnosing Memory Leaks using Graph Mining on Heap Dumps, in Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10), Washington, DC, pages 115-124, July 2010 (with E. Maxwell and G. Back). [PDF]
  
  
• Extracting Temporal Signatures for Comprehending Systems Biology Models, in Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10), Washington, DC, pages 453-462, July 2010 (with N. Sundaravaradan, K.S.M. Hossain, V. Sreedharan, and others). [PDF]
  
  
• Unifying Dependent Clustering and Disparate Clustering for Non-homogeneous Data, in Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10), Washington, DC, pages 593-602, July 2010 (with M.S. Hossain, I. Davidson, and others). [PDF]
  
  
• Dynamic Tuning of Algorithmic Parameters of Parallel Scientific Codes, in Proceedings of the International Conference on Computational Science (ICCS'10), Amsterdam, Netherlands, pages 145-153, May-June 2010 (with P. Kang, C.J. Ribbens, and others). [PDF]
  
  
• Data Mining for Modeling Chiller Systems in Data Centers, in Proceedings of the Ninth International Symposium on Intelligent Data Analysis (IDA'10), Tucson, AZ, pages 125-136, May 2010 (with D. Patnaik, M. Marwah, and R. Sharma). [PDF]
  
  
• Towards Chip-on-Chip Neuroscience: Fast Mining of Neuronal Spike Streams using Graphics Hardware, in Proceedings of the ACM International Conference on Computing Frontiers (CF'10), Bertinoro, Italy, pages 1-10, May 2010 (with D. Patnaik, Y. Cao, and others). [Paper PDF]/[Slides PDF]
  
  

• Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis, in Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM'09), Miami, FL, pages 407-416, Dec 2009 (with S. Laxman and D. Patnaik). [PDF]
  
  
• Mining Linguistic Cues for Query Expansion: Applications to Drug Interaction Search, in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), Hong Kong, pages 335-344, Nov 2009 (with S. Guo). [PDF]
  
  
• Recommender Systems for the Conference Paper Assignment Problem, in Proceedings of the 3rd ACM Conference on Recommender Systems (RecSys'09), New York, NY, pages 357-360, Oct 2009 (with D. Conry and Y. Koren) [PDF].
  
  
• Accelerator-Oriented Algorithm Transformation for Temporal Data Mining, in Proceedings of 6th IFIP International Conference on Network and Parallel Computing (NPC'09), Gold Coast, Australia, pages 93-100, Oct 2009 (with D. Patnaik, S. Ponce, and Y. Cao). [PDF]
  
  
• Exploring Out-of-turn Interactions with Web Hierarchies, Journal of Digital Information, Vol. 10, No. 4, 18 pages, Oct 2009 (with S. Perugini and others). [PDF]
  
  
• Graphical Models of Protein-Protein Interaction Specificity from Correlated Mutations and Interaction Data, Proteins: Structure, Function, and Bioinformatics, Vol. 76, No. 4, pages 911–929, Sep 2009 (with J. Thomas and C. Bailey-Kellogg). [PDF]
  
  
• Temporal Process Discovery in many Guises, IEEE Computer, Vol. 42, No. 8, pages 97-101, Aug 2009 (with D. Patnaik and V. Sreedharan). [PDF]
  
  
• The Pervasiveness of Data Mining and Machine Learning, IEEE Computer, Vol. 42, No. 8, pages 28-29, Aug 2009. [PDF]
  
  
• Protein Design by Sampling an Undirected Graphical Model of Residue Constraints, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 6, No. 3, pages 506-516, July 2009 (with J. Thomas and C. Bailey-Kellogg) [PDF].
  
  
• Sustainable Operation and Management of Data Center Chillers using Temporal Data Mining, in Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09), pages 1305-1314, Paris, France, June-July 2009 (with D. Patnaik, M. Marwah, and R. Sharma; Best Application Paper Runner-up Award at KDD'09). [PDF]
  
  
• Modular, Fine-grained Adaptation of Parallel Programs, in Proceedings of the International Conference on Computational Science (ICCS'09), Baton Rouge, LA, pages 269-279, May 2009 (with P. Kang, C.J. Ribbens, et al.). [PDF]
  
  
• Knowledge Discovery and Data Mining for Enhanced Sustainability of Physical Ecosystems, in Proceedings of the IEEE International Symposium on Sustainable Systems and Technology (ISSST'09), May 2009 (with M. Marwah et al.). [PDF]
  
  
• Capturing Truthiness: Mining Truth Tables in Binary Datasets, in Proceedings of the 24th Annual ACM Symposium on Applied Computing (SAC'09; Data Mining Track), Honolulu, HI, pages 1467-1474, March 2009 (with C.C. Owens and T.M. Murali). [PDF]
  
  
• Simultaneously Segmenting Multiple Gene Expression Courses by Analyzing Cluster Dynamics, Journal of Bioinformatics and Computational Biology (JBCB), Vol. 7, No. 2, pages 339-356, April 2009. [PDF]
  
  
• C4.5, Chapter 1 of Top 10 Algorithms in Data Mining (X. Wu and V. Kumar, eds.), Chapman and Hall/CRC Press, pages 1-19, 2009.
  
  
• Computing with Proteins, IEEE Computer, Vol. 42, No. 1, pages 47-56, Jan 2009 (with U.S. Bhalla and J.J. Tyson). [PDF]
  
  

• Proceedings of the Eighth IEEE International Conference on Data Mining (ICDM'08), edited with F. Giannotti, D. Gunopulos, F. Turini, C. Zanilo, and X. Wu, IEEE Computer Society Press, 2008.
  
  
• Seeded Discovery of Base Relations in Large Corpora, in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'08), Honolulu, HI, pages 590-599, Oct 2008 (with N. Andrews). [Paper PDF]/[Slides PDF].
  
  
• Reconstructing Chemical Reaction Networks: Data Mining meets System Identification, in Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08), Las Vegas, NV, pages 142-150, Aug 2008 (with Y.J. Cho and Y. Cao). [PDF]
  
  
• Gaussian Process Models in Spatial Data Mining, in Encyclopedia of Geographic Information Science (S. Shekhar and H. Xiong, editors), pages 325-329, 2008 (with C. Bailey-Kellogg).
  
  
• Using Relative Importance Methods to model High-throughput Gene Perturbation Screens, in Proceedings of the 7th Annual International Conference on Computational Systems Bioinformatics (CSB'08), Stanford, CA, pages 225-235, Aug 2008 (with Y. Jin, L.S. Heath, and R.F. Helm). [PDF]
  
  
• Memory Switches in Chemical Reaction Space, PLoS Computational Biology, Vol. 4, No. 7, e1000122, 9 pages, July 2008 (with U.S. Bhalla). [PDF]
  
  
• Deriving Kripke Structures from Time Series Segmentation Results, in Workshop on Discrete Event Systems (WODES'08), Goteborg, Sweden, May 2008. [PDF]
  
  
• Algorithms for Storytelling, IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 6, pages 736-751, June 2008 (with D. Kumar, M. Potts, and R.F. Helm). [PDF]
  
  
• Graphical Models of Residue Coupling in Protein Families, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 5, No. 2, pages 183-197, April-June 2008 (with J. Thomas and C. Bailey-Kellogg) [PDF].
  
  
• Protein Design by Sampling an Undirected Graphical Model of Residue Constraints, Proceedings of the 12th Annual International Conference on Research in Computational Molecular Biology (RECOMB'08), NUS, Singapore, Mar-Apr 2008 (with J. Thomas and C. Bailey-Kellogg). [PDF]
  
  
• Compositional Mining of Multirelational Biological Datasets, ACM Transactions on Knowledge Discovery from Data, Vol. 2, No. 1, Article 2, 35 pages, March 2008 (with Y. Jin and T.M. Murali). [PDF]
  
  
• Simultaneously Segmenting Multiple Gene Expression Courses by Analyzing Cluster Dynamics, in Proceedings of the Sixth Asia-Pacific Bioinformatics Conference (APBC 2008), pages 297-306, Kyoto, Japan, Jan 2008 (with S. Tadepalli, L.T. Watson, and others). [PDF]
  
  
• CMGSDB: Integrating Heterogeneous C. elegans Data Sources using Compositional Data Mining, Nucleic Acids Research, Vol. 36, D69-D76, Jan 2008 (Database Issue; with A. Pati, Y. Jin, L.S. Heath, and others). [PDF]
  
  

• Proceedings of the Seventh IEEE International Conference on Data Mining (ICDM'07), edited with O. Zaiane, Y. Shi, C. Clifton, X. Wu, IEEE Press, 2007.
  
  
• Search: The New Incarnations (Area Editor's Introduction to the Special Issue on Search), IEEE Computer, Vol. 40, No. 8, pages 31-32, Aug 2007. [PDF]
  
  
• Scouts, Promoters, and Connectors: The Roles of Ratings in Nearest-Neighbor Collaborative Filtering, in ACM Transactions on the Web, Vol. 1, No. 2, Article 8, 30 pages, August 2007 (with M.B. Kumar and B.J. Keller). [PDF]
  
  
• Mining Web Functional Dependencies for Flexible Information Access, Journal of the Americal Society for Information Science and Technology (Special Issue on Mining Web Resources for Enhancing Information Retrieval), Vol. 58, No. 12, pages 1805-1819, 2007 (with S. Perugini). [PDF]
  
  
• The Adaptive Code Kitchen: Flexible Tools for Dynamic Application Composition, in Proceedings of the Next Generation Software Systems Workshop, 21st IEEE International Parallel & Distributed Processing Symposium (IPDPS'07), Long Beach, CA, March 2007 (with S. Varadarajan, C.J. Ribbens, and others). [PDF]
  
  
• Validation and Estimation of Parameters for a General Probabilistic Model of the PCR Process, Journal of Computational Biology, Vol. 14, No. 1, pages 97-112, Jan 2007 (with L.T. Watson, N. Saha, and others). [PDF]
  
  

• Network Reconstruction from Dynamic Data, ACM SIGKDD Explorations, Vol. 8, No. 2, pages 90-91, Dec 2006. Report from the Fourth SIGKDD Workshop on Temporal Data Mining. [PDF]
  
  
• A General Probabilistic Model of the PCR Process, Applied Mathematics and Computation, Vol. 182, No. 1, pages 232-243, Nov 2006. [PDF]
  
  
• Algorithms for Storytelling, in Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, PA, pages 604-610, Aug 2006 (with D. Kumar, M. Potts, and R. Helm) [PDF].
  
  
• BLOSOM: A Framework for Mining Boolean Expressions, in Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, PA, pages 827-832, Aug 2006 (with M.J. Zaki and L. Zhao). [PDF]
  
  
• Reconstructing Partial Orders from Linear Extensions, in Proceedings of the Fourth SIGKDD Workshop on Temporal Data Mining: Network Reconstruction from Dynamic Data, Aug 2006 (with P.L. Fernandez, L.S. Heath, and J.P. Vergara). [PDF]
  
  
• Interacting with Web Hierarchies, IEEE IT Professional, Vol. 8, No. 4, pages 19-28, July/Aug 2006 (with S. Perugini). [PDF]
  
  
• Scouts, Promoters, and Connectors: The Roles of Ratings in Nearest-Neighbor Collaborative Filtering, in Proceedings of the ACM Conference on Electronic Commerce (EC'06), Ann Arbor, MI, pages 250-259, June 2006 (with M.B. Kumar and B.J. Keller). [PDF].
  
  
• Spatial Data Mining to Support Pandemic Preparedness, ACM SIGKDD Explorations, Vol. 8, No. 1, pages 80-82, June 2006 (with C. Bailey-Kellogg and M.V. Marathe). [PDF] Report from the SIAM Data Mining 2006 Workshop on Mining Spatial Data.
  
  
• The JigCell Model Builder: A Spreadsheet Interface for Creating Biochemical Reaction Network Models, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 3, No. 2, pages 155-164, Apr-June 2006 (with the JigCell group). [PDF]
  
  
• Non-Orthogonal Decomposition of Binary Matrices for Bounded-Error Data Compression and Analysis, ACM Transactions on Mathematical Software, Vol. 32, No. 1, pages 33-69, March 2006 (with A.Y. Grama and M. Koyuturk). [PDF]
  
  

• Transcriptional Response of Sachharomyces cerevisiae to Desiccation and Rehydration, Applied and Environmental Microbiology, Vol. 71, No. 12, pages 8752-8763, Dec 2005 (with J.A. Singh, D. Kumar, M. Potts, R.F. Helm, and others). [PDF]
  
  
• Frontiers of Search (Area Editor's Introduction to the Special Issue on Search), IEEE Computer, Vol. 38, No. 10, pages 26-27, Oct 2005. [PDF]
  
  
• Reasoning about Sets using Redescription Mining, in Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'05), Chicago, IL, pages 364-373, Aug 2005 (with M.J. Zaki). [Paper PDF]/[Slides PDF]
  
  
• Redescription Mining: Structure Theory and Algorithms, in Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI'05), Pittsburgh, PA, pages 837-844, July 2005 (with L. Parida). [Paper PDF]/[Poster PDF]. Preliminary version appears as IBM Research Technical Report RC23565, Feb 2005.
  
  
• Graphical Models of Residue Coupling in Protein Families, Proceedings of the 5th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BioKDD'05), Chicago, IL, Aug 2005 (with C. Bailey-Kellogg and J. Thomas). [PDF].
  
  
• Reconstructing Formal Temporal Models of Cellular Events using the GO Process Ontology, in Proceedings of the Eighth Annual Bio-Ontologies Meeting (ISMB'05 Satellite Workshop), Detroit, MI, June 2005 (with B. Mishra and M. Antoniotti). [PDF]
  
  
• The Traits of the Personable, in LNCS/LNAI State-of-the-Art Survey on Intelligent Techniques in Web Personalization, Vol. 3169 (LNAI Series), Springer-Verlag (B. Mobasher and S.S. Anand, Eds.), pages 53-68, 2005. Invited Book Chapter [PDF]
  
  
• Novel Runtime Systems Support for Adaptive Compositional Modeling in PSEs, Future Generation Computing Systems (Special Issue on "Complex PSEs for Grid Computing"), Vol. 21, No. 6, pages 878-895, June 2005 (with S. Varadarajan). (c) Elsevier, Netherlands, 2005. [PDF]
  
  
• Compression, Clustering, and Pattern Discovery in Very High Dimensional Discrete-Attributed Datasets, IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 4, pages 447-461, Apr 2005 (with A.Y. Grama and M. Koyuturk). [PDF]
  
  
• Gaussian Processes for Active Data Mining of Spatial Aggregates, in Proceedings of the SIAM International Conference on Data Mining, Newport Beach, CA, 2005. [PDF]. Selected among `Best of SIAM Data Mining 2005' for presentation at Interface'05.
  
  
• The Good, Bad, and the Indifferent: Explorations in Recommender System Health, in Proceedings of Beyond Personalization: The Next Stage of Recommender Systems Research, IUI'05, San Diego, CA, pages 43-47, Jan 2005 (with B.J. Keller and others). [PDF]
  
  

• S^4W: Globally Optimized Design of Wireless Communication Systems, IEEE Transactions on Wireless Communications, Vol. 3, No. 6, pages 1906-1911, Nov 2004. [PDF].
  
  
• Turning CARTwheels: An Alternating Algorithm for Mining Redescriptions, in Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'04), Seattle, WA, pages 266-275, Aug 2004 (with D. Kumar, B. Mishra, M. Potts, and R. Helm). [PS]/[PDF]
  
  
• Spatial Aggregation for Qualitative Assessment of Scientific Computations, in Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI'04), pages 585-591, July 2004 (with C. Bailey-Kellogg). PS/[PDF].
  
  
• Staging Transformations for Multimodal Web Interaction Management, in Proceedings of the Thirteenth International World Wide Web Conference (WWW' 2004), New York, NY, pages 212-223, May 2004 (with the pied PIPErs). [PDF]/OOT Web Site
  
  
• Towards Integrated PSEs for Wireless Communications: Experiences with the S^4W and SitePlanner Projects, ACM Mobile Computing and Communications Review, Vol. 8, No. 2, pages 20-34, April 2004. [PDF]
  
  
• Gaussian Processes for Active Data Mining of Spatial Aggregates, in Proceedings of the 18th International Workshop on Qualitative Reasoning, Evanston, IL, pages 67-74, 2004 (with C. Bailey-Kellogg, S. Tadepalli, and V.N. Pandey). [PDF]
  
  
• The JigCell Model Builder and Run Manager, Bioinformatics, Vol. 20, No. 18, pages 3680-3681, 2004 (with the JigCell group). [PubMed]
  
  

• Reinforcing Reachable Routes, Computer Networks, Vol. 43, No. 3, pages 389-416, Oct 2003 (with S. Varadarajan and M. Thirunavukkarasu). PS/[PDF]
  
  
• Clustering Mass Spectrometry Data using Order Statistics, Proteomics, Vol. 3, No. 9, pages 1687-1691, Sep 2003 (with D.J. Slotta, L.S. Heath, and others). [PDF]/[PubMed]
  
  
• BSML: A Binding Schema Markup Language for Data Interchange in PSEs, Scientific Programming, Vol. 11, No. 3, pages 199-224, Aug 2003 (with A. Verstak and others). (c) John Wiley and Sons, USA, 2003. [PS]/[PDF] Figure 5 got misprinted in the published version inspite of identifying the problem at the proof stage (sigh); this version has the right figure.
  
  
• Gaussian Process Models of Spatial Aggregation Algorithms, in Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI'03), Acapulco, Mexico, pages 1045-1051, Aug 2003 (with C. Bailey-Kellogg). [PDF]
  
  
• Spatial Aggregation for Qualitative Assessment of Scientific Computations, in Proceedings of the 17th International Workshop on Qualitative Reasoning, Brasilia, Brazil, pages 23-30, Aug 2003. [PDF]
  
  
• The Staging Transformation Approach to Mixing Initiative, in G. Tecuci, ed., Working Notes of the IJCAI'03 Workshop on Mixed-Initiative Intelligent Systems, Acapulco, Mexico, pages 23-29, Aug 2003 (with the PIPE and dialog modeling gang). [PDF]
  
  
• JigCell: Modeling Regulatory Networks at Virginia Tech, Omics Journal of Integrative Biology, Vol. 7, No. 3, pages 285-300, Fall 2003 (with the Jigcell group). [PDF]/[PubMed]
  
  
• Personalizing Web Sites with Mixed-Initiative Interaction, IEEE IT Professional, Vol. 5, No. 2, pages 9-15, Mar/Apr 2003 (with S. Perugini). [PDF]
  
  
• Expresso and Chips: Creating a Next Generation Microarray Experiment Management System, in Proceedings of the Next Generation Software Systems Workshop, 17th International Parallel and Distributed Processing Symposium (IPDPS'03), Nice, France, Apr 2003 (with the Expresso group). [PDF] Invited Paper.
  
  
• Studying Recommendation Algorithms by Graph Analysis, Journal of Intelligent Information Systems, Vol. 20, No. 2, pages 131-160, March 2003 (with B.J. Mirza and B.J. Keller). [PDF]
  
  

• Programming Environments for Multidisciplinary Grid Communities, Concurrency and Computation: Practice and Experience, Vol. 14, Nos. 13-14, pages 1241-1273, Nov-Dec 2002. (with the rest of the PSEs research group). (c) John Wiley and Sons, USA, 2002. [PDF]
  
  
• Dynamic Data Structures for a Direct Search Algorithm, Computational Optimization and Applications, Vol. 23, No. 1, pages 5-25, Oct 2002 (with J. He, L.T. Watson, A. Verstak, and others). [PDF]
  
  
• Algebraic Techniques for Analysis of Large Discrete-Valued Datasets, in Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), Helsinki, Finland, pages 311-324, Aug 2002 (with M. Koyuturk and A.Y. Grama). [PS]
  
  
• Sampling Strategies for Mining in Data-Scarce Domains, IEEE/AIP Computing in Science and Engineering (CiSE), Vol. 4, No. 4 (Special issue on Data Mining), pages 31-43, July/Aug 2002 (with C. Bailey-Kellogg). [PDF]
  
  
• The Emerging Landscape of Bioinformatics Software Systems (Guest Editors' Introduction to the Special Issue on Bioinformatics Software), IEEE Computer, Vol. 35, No. 7, pages 41-45, July 2002 (with L.S. Heath). [PDF]
  
  
• S^4W: Globally Optimized Design of Wireless Communication Systems, in Proceedings of the Next Generation Software Systems Workshop, 16th International Parallel and Distributed Processing Symposium (IPDPS'02), Fort Lauderdale, FL, Apr 2002 (with L.T. Watson, A. Verstak, J. He, and others). Invited Paper. [PS]/[PDF].
  
  
• Mixed-Initiative Interaction = Mixed Computation, in Proceedings of the ACM SIGPLAN Workshop on Partial Evaluation and Semantics-Based Program Manipulation (PEPM'02) (P. Thiemann, Ed.), pages 119-130, January 2002 (with R. Capra and M.A. Pérez-Quiñones). [PS]/[PDF]. Also appears in ACM SIGPLAN Notices, Vol. 37, No. 3, March 2002. Audio recordings for some of the dialogs in this paper are also available: Fig. 1, Fig. 2, and Fig. 4.
  
  
• GAUSS: An Online Algorithm Selection System for Numerical Quadrature, Advances in Engineering Software, Vol. 33, No. 1, pages 27-36, Jan 2002 (with J.R. Rice and E.N. Houstis). (c) Elsevier, Netherlands, 2002. [PDF]
  
  

• WebContext: Remote Access to Shared Context, in Proceedings of the Workshop on Perceptive User Interfaces (PUI'2001), Dec 2001 (with R. Capra and M.A. Pérez-Quiñones). [PDF]
  
  
• Privacy Risks in Recommender Systems, IEEE Internet Computing, Vol. 5, No. 6, pages 54-62, Nov-Dec 2001 (Special Issue on "Personalization and Privacy"; with B.J. Keller, B.J. Mirza, A.Y. Grama, and G. Karypis). [PDF]
  
  
• Compression of Particle Data from Hierarchical Approximate Methods, ACM Transactions on Mathematical Software, Vol. 27, No. 3, pages 317-339, September 2001 (with A.Y. Grama, D.-Y. Yang, and V. Sarin). [PDF]
  
  
• Ambiguity-Directed Sampling for Qualitative Analysis of Sparse Data from Spatially Distributed Physical Systems, in Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI'01) (B. Nebel, Ed.), Seattle, WA, pages 43-50, August 2001 (with C. Bailey-Kellogg). [PS]/[PDF].
  
  

• Note on Generalization in Experimental Algorithmics, ACM Transactions on Mathematical Software, Vol. 26, No. 4, pages 568-580, Dec 2000. [PDF] (with R.E. Valdés-Pérez). Another silly error at the printing stage corrected in this online version.
  
  
• PIPE: Web Personalization By Partial Evaluation, IEEE Internet Computing, Vol. 4, No. 6, pages 21-31, Nov-Dec 2000. [PDF] (some slips in the printed version touched up courtesy of Acrobat Exchange). Recognized with the 2001 New Century Technology Council Innovation award.
  
  
• Mining and Visualizing Recommendation Spaces for Elliptic PDEs with Continuous Attributes, ACM Transactions on Mathematical Software, Vol. 26, No. 2, pages 254-273, June 2000. [PDF] (with C.J. Ribbens).
  
  
• PYTHIA-II: A Knowledge/Database System for Managing Performance Data and Recommending Scientific Software, ACM Transactions on Mathematical Software, Vol. 26, No. 2, pages 227-253, June 2000 (with the PELLPACK group). [PDF]
  
  

• Data Mining: From Serendipity to Science (Guest Editors' Introduction to the Special Issue on Data Mining), IEEE Computer, Vol. 32, No. 8, pages 34-37, August 1999. [PDF].
  
  
• Networked Agents for Scientific Computing, Communications of the ACM, Vol. 42, No. 3, pages 48-52 and 54, March 1999. [PDF] (with T.T. Drashansky, E.N. Houstis, and J.R. Rice.)