Publications – Sanghani Center for Artificial Intelligence and Data Analytics

New! Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic

Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan
In Cornell University, : , 11/2022
Citatations: BibTeX

New! Scrutinizing Shipment Records To Thwart Illegal Timber Trade

Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan
In Cornell University, : , 07/2022
Citatations: BibTeX

New! Innovations in Neural Data-to-text Generation

Mandar Sharma, Naren Ramakrishnan
In Cornell University, : , 04/2023
Citatations: BibTeX

New! Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn’t, and Future Directions

Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, Sathappan Muthiah, Nathan Self, Patrick Butler, Naren Ramakrishnan
In Cornell University, : , 07/2022
Citatations: BibTeX

New! Efficient Generative Wireless Anomaly Detection for Next Generation Networks

Gopikrishna Rathinavel, Nikhil Muralidhar, Naren Ramakrishnan
In Proceedings of the IEEE Military Communications Conference, (pp ), 11/2022
Citatations: BibTeX

New! Framing Algorithmic Recourse for Anomaly Detection

Debanjan Datta, Feng Chen, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 283-293), 08/2022
Citatations: BibTeX

New! Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback

Gopikrishna Rathinavel, Nikhil Muralidhar, Naren Ramakrishnan
In Proceedings of the IEEE International Conference on Data Mining, (pp 1161-1166), 02/2023
Citatations: BibTeX

New! Identifying geopolitical event precursors using attention-based LSTMs

K S M Tozammel Hossain, Yue Ning, Naren Ramakrishnan
In Frontiers in Artificial Intelligence, 5 : , 10/2022
Citatations: BibTeX

New! Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency

Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan
In Proceedings of the Association for Computational Linguistics, (pp 6178-6191), 07/2023
Citatations: BibTeX

New! Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives

Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan
In Proceedings of the 13th AAAI Conference on Artificial Intelligence, (pp 15912-15920), 09/2023
Citatations: BibTeX

New! Redistrict: Designing a Self-Serve Interactive Boundary Optimization System

Andreea Sistrunk, Nathan Self, Subhodip Biswas, Naren Ramakrishnan
In Proceedings of the ACM Designing Interactive Systems Conference, (pp 284-287), 07/2023
Citatations: BibTeX

New! Memetic Algorithms for Spatial Partitioning Problems

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan
In ACM Transactions on Spatial Algorithms and Systems (TSAS), 9 1: 1-31, 01/2023
Citatations: BibTeX

New! TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade

Naren Ramakrishnan, Nathan Self, Debanjan Datta
In Sage Journals, 22 3: 223-245, 03/2023
Citatations: BibTeX

New! Blocking Influence at Collective Level with Hard Constraints

Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Naren Ramakrishnan, Zhiqian Chen
In Proceedings of the 11th AAAI Conference on Artificial Intelligence, (pp 13115-13116), 06/2022
Citatations: BibTeX

New! Sampling-based techniques for designing school boundaries

Naren Ramakrishnan, Subhodip Biswas, Fanglan Chen
In Cornell University, : , 06/2022
Citatations: BibTeX

New! Improving Zero-Shot Event Extraction via Sentence Simplification

Sneha Mehta, Naren Ramakrishnan
In Cornell University, : , 04/2022
Citatations: BibTeX

New! Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores

Naren Ramakrishnan, Nikhil Muralidhar
In Cornell University, : , 03/2022
Citatations: BibTeX

New! EINNs: Epidemiologically-Informed Neural Networks

Naren Ramakrishnan, Bijaya Adhikari
In Cornell University, : , 02/2022
Citatations: BibTeX

New! Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information

Naren Ramakrishnan, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen
In Cornell University, : , 11/2021
Citatations: BibTeX

New! Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning

Liang Zhao, Jieping Ye, Feng Chen, Naren Ramakrishnan
In ACM Transactions on Knowledge Discovery from Data (TKDD), 16 2: 1-28, 09/2021
Citatations: BibTeX

New! SWITCHES: Searchable Web Interface for Topologies of CHEmical Switches

Naren Ramakrishnan
In Bioinformatics, 37 16: 2504–2505, 08/2021
Citatations: BibTeX

New! Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization

Subhodip Biswas, Andreea Sistrunk, Naren Ramakrishnan
In Cornell University, : , 12/2020
Citatations: BibTeX

New! STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models

Shengzhe Xu, Manish Marwah, Naren Ramakrishnan
In Cornell University, : , 09/2020
Citatations: BibTeX

New! PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly

Nikhil Muralidhar, Jie Bu, Naren Ramakrishnan, Anuj Karpatne
In Proceedings of the SIAM International Conference on Data Mining, (pp 559-567),
Citatations: BibTeX

New! Detecting Media Self-Censorship without Explicit Training Data

Rongrong Tao, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan
In Proceedings of the SIAM International Conference on Data Mining, (pp 550-558),
Citatations: BibTeX

New! Graph Convolutional Networks with Kalman Filtering for Traffic Prediction

Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan
In Proceedings of the SIGSPATIAL International Conference on Advances in Geographic Information Systems, (pp 135-138), 11/2020
Citatations: BibTeX

New! Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan
In Proceedings of the SIGSPATIAL International Conference on Advances in Geographic Information Systems, (pp 25-35), 11/2020
Citatations: BibTeX

New! Geospatial Clustering for Balanced and Proximal Schools

Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Naren Ramakrishnan
In Proceedings of the 9th AAAI Conference on Artificial Intelligence, (pp 13358-13365), 04/2020
Citatations: BibTeX

New! Detecting Suspicious Timber Trades

Debanjan Datta, Mohammad Raihanul Islam, Nathan Self, Naren Ramakrishnan
In Proceedings of the 8th AAAI Conference on Artificial Intelligence, (pp 13248-13254), 04/2020
Citatations: BibTeX

New! Deep Reinforcement Learning for Sequence-to-Sequence Models

Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan Reddy
In IEEE Transactions on Neural Networks and Learning Systems, 31 7: 2469-2489, 08/2019
Citatations: BibTeX

New! Cut-n-Reveal: Time Series Segmentations with Explanations

Nikhil Muralidhar, Anika Tabassum, Liangzhe Chen, Naren Ramakrishnan
In ACM Transactions on Intelligent Systems and Technology, 11 5: 1-26, 07/2020
Citatations: BibTeX

New! Online flu epidemiological deep modeling on disease contact network

Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin, Wei Wang, Naren Ramakrishnan
In GeoInformatica, : 443–475, 07/2019
Citatations: BibTeX

New! Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems

Nikhil Muralidhar, Jie Bu, Naren Ramakrishnan, Anuj Karpatne
In Big Data, 8 5: 431-449, 10/2020
Citatations: BibTeX

New! Using AntiPatterns to avoid MLOps Mistakes

Nikhil Muralidhar, Sathappan Muthiah, Patrick Butler, Naren Ramakrishnan
In Cornell University, : , 06/2021
Citatations: BibTeX

New! Detecting Anomalies Through Contrast in Heterogeneous Data

Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan
In Cornell University, : , 04/2021
Citatations: BibTeX

New! Incorporating Expert Guidance in Epidemic Forecasting

Naren Ramakrishnan, Bijaya Adhikari
In Cornell University, : , 12/2020
Citatations: BibTeX

New! Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan
In Proceedings of the 9th AAAI Conference on Artificial Intelligence, (pp 7953-7960), 05/2021
Citatations: BibTeX

New! Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19

Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan
In Proceedings of the 6th AAAI Conference on Artificial Intelligence, (pp 4855-4863), 05/2021
Citatations: BibTeX

New! Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality

Arjun Choudhry, Mandar Sharma, Naren Ramakrishnan
In IEEE Transactions on Visualization and Computer Graphics, 27 2: 1332-1342, 10/2020
Citatations: BibTeX

New! Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework

Abhijin Adiga, Gizem Korkmaz, Chris Kuhlman, Madhav Marathe, Naren Ramakrishnan, Parang Saraf, Nathan Self
In Social Network Analysis and Mining, 10 Article No. 11: , 01/2020
Citatations: BibTeX

New! Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach

Nikhil Muralidhar, Sathappan Muthiah, Ratnesh Sharma, Naren Ramakrishnan
In Proceedings of the IEEE International Conference on Big Data, (pp 543-552), 02/2020
Citatations: BibTeX

New! Event Detection using Hierarchical Multi-Aspect Attention

Sneha Mehta, Mohammad Raihanul Islam, Naren Ramakrishnan
In Proceedings of the World Wide Web conference, (pp 3079–3085), 05/2019
Citatations: BibTeX

New! Low Rank Factorization for Compact Multi-Head Self-Attention

Sneha Mehta, Naren Ramakrishnan
In Cornell University, : , 08/2020
Citatations: BibTeX

New! NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network

Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan
In Proceedings of the ACM International Conference on Information and Knowledge Management, (pp 1793–1802), 11/2019
Citatations: BibTeX

New! DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems

Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan
In Proceedings of the International Joint Conference on Artificial Intelligence, (pp 3180-3186),
Citatations: BibTeX

New! EpiDeep: Exploiting Embeddings for Epidemic Forecasting

Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 577–586), 07/2019
Citatations: BibTeX

New! On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game

Madhav Marathe, Naren Ramakrishnan, Parang Saraf, Nathan Self, Abhijin Adiga, Gizem Korkmaz, Chris Kuhlman
In Proceedings of the Winter Simulation Conference, (pp ), 02/2020
Citatations: BibTeX

New! The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite Graphs

Maoyuan Sun, Hao Wu, Naren Ramakrishnan, Chris North
In IEEE Transactions on Visualization and Computer Graphics, 25 10: 2983-2998, 07/2018
Citatations: BibTeX

New! Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks

Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Naren Ramakrishnan
In Cornell University, : , 05/2019
Citatations: BibTeX

New! Mitigating Uncertainty in Document Classification

Xuchao Zhang, Fanglan Chen, Naren Ramakrishnan
In Cornell University, : , 07/2019
Citatations: BibTeX

New! Interactive Bicluster Aggregation in Bipartite Graphs

Maoyuan Sun, Naren Ramakrishnan, Chris North
In Proceedings of the International Conference on Visualisation, (pp 246-250), 12/2019
Citatations: BibTeX

New! Feature driven learning framework for cybersecurity event detection

Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Naren Ramakrishnan
In Proceedings of the IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM), (pp 196–203), 08/2019
Citatations: BibTeX

New! REGAL: A Regionalization framework for school boundaries

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Naren Ramakrishnan
In Proceedings of the GIS: Geographic Information Systems, (pp 544-547), 11/2019
Citatations: BibTeX

New! A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors

Feng Chen, Naren Ramakrishnan
In IEEE Transactions on Knowledge and Data Engineering, 31 10: 1849-1862, 08/2018
Citatations: BibTeX

New! RumorSleuth: joint detection of rumor veracity and user stance

Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan
In Proceedings of the IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM), (pp 131-136), 08/2019
Citatations: BibTeX

New! Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games

Abhijin Adiga, Gizem Korkmaz, Chris Kuhlman, Madhav Marathe, Naren Ramakrishnan, Parang Saraf, Nathan Self
In Proceedings of the IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM), (pp ), 08/2019
Citatations: BibTeX

New! Deep Transfer Reinforcement Learning for Text Summarization

Yaser Keneshloo, Naren Ramakrishnan, Chandan Reddy
In Proceedings of the SIAM International Conference on Data Mining, (pp 675-683),
Citatations: BibTeX

New! Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids

Nikhil Muralidhar, Jie Bu, Naren Ramakrishnan, Anuj Karpatne
In Cornell University, : , 11/2019
Citatations: BibTeX

New! Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics

John Wenskovitch, Naren Ramakrishnan, Leanna L. House, Scotland C. Leman, Chris North
In IEEE Transactions on Visualization and Computer Graphics, : 131-141, 08/2017
Citatations: BibTeX

New! Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models

Maoyuan Sun, Peng Mi, Nikolaj Tatti, Naren Ramakrishnan, Chris North
In ACM Transactions on Knowledge Discovery from Data (TKDD), 12 1: 1-34, 01/2018
Citatations: BibTeX

New! illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems

Nikhil Muralidhar, Nathan Self, Marjan Momtazpour, Ratnesh Sharma, Naren Ramakrishnan
In ACM Transactions on Intelligent Systems and Technology, 9 3: 1-20, 01/2018
Citatations: BibTeX

New! When do Crowds Turn Violent? Uncovering Triggers from Media

Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, David Mares
In Proceedings of the Advances in Social Network Analysis and Mining, (pp 77-82), 10/2018
Citatations: BibTeX

New! Probability-one homotopy methods for constrained clustering

Layne T. Watson, Naren Ramakrishnan
In Journal of Computational and Applied Mathematics, 343 : 602-618, 12/2018
Citatations: BibTeX

New! Sparse estimation of multivariate Poisson log-normal models from count data

Hao Wu, Naren Ramakrishnan
In Statistical Analysis and Data Mining, : 66-77, 01/2018
Citatations: BibTeX

New! Generating Realistic Synthetic Population Datasets

Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
In ACM Transactions on Knowledge Discovery from Data (TKDD), 12 4: 1-22, 04/2018
Citatations: BibTeX

New! Flow of Information in Feed-Forward Denoising Neural Networks

Pejman Khadivi, Naren Ramakrishnan
In Proceedings of the IEEE Conference on Cognitive Informatics, (pp 166-173), 10/2018
Citatations: BibTeX

New! Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis

Abhijin Adiga, Gizem Korkmaz, Chris Kuhlman, Madhav Marathe, Naren Ramakrishnan, Parang Saraf, Nathan Self
In Proceedings of the IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM), (pp 413-420), 10/2018
Citatations: BibTeX

New! Multi-Task Learning for Transit Service Disruption Detection

Taoran Ji, Kaiqun Fu, Nathan Self, Naren Ramakrishnan
In Proceedings of the IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM), (pp 634-641), 10/2018
Citatations: BibTeX

New! Incorporating Prior Domain Knowledge into Deep Neural Networks

Nikhil Muralidhar, Mohammad Raihanul Islam, Manish Marwah, Naren Ramakrishnan
In Proceedings of the IEEE Big Data, (pp 36-45), 01/2019
Citatations: BibTeX

New! Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data

Sujay Yadawadkar, Brian Mayer, Sanket Lokegaonkar, Mohammad Raihanul Islam, Naren Ramakrishnan
In Proceedings of the IEEE Big Data, (pp 2019-2026), 01/2019
Citatations: BibTeX

New! DeepDiffuse: Predicting the ‘Who’ and ‘When’ in Cascades

Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, Naren Ramakrishnan
In Proceedings of the IEEE International Conference on Data Mining, (pp 1055-1060), 12/2018
Citatations: BibTeX

New! Social Media based Simulation Models for Understanding Disease Dynamics

Ting Hua, Chandan Reddy, Lei Zhang, Liang Zhao, Naren Ramakrishnan
In Proceedings of the International Joint Conference on Artificial Intelligence, (pp 3797-3804),
Citatations: BibTeX

New! SIGNet: Scalable Embeddings for Signed Networks

Mohammad Raihanul Islam, Naren Ramakrishnan
In Proceedings of the PAKDD, (pp 157-169), 06/2018
Citatations: BibTeX

New! Sub2Vec: Feature Learning for Subgraphs

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan
In Proceedings of the PAKDD, (pp 170-182), 06/2018
Citatations: BibTeX

New! Forecasting Gang Homicides with Multi-level Multi-task Learning

Liang Zhao, Naren Ramakrishnan
In Proceedings of the SBP-BRiMS, (pp 28-37), 06/2018
Citatations: BibTeX

New! STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting

Yue Ning, Rongrong Tao, Chandan Reddy, Naren Ramakrishnan
In Proceedings of the SIAM International Conference on Data Mining, (pp 99-107),
Citatations: BibTeX

New! Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments

Chris Kuhlman, Madhav Marathe, Naren Ramakrishnan, Parang Saraf, Nathan Self
In Proceedings of the Winter Simulation Conference, (pp 774-785), 02/2019
Citatations: BibTeX

New! Deep Reinforcement Learning For Sequence to Sequence Models

Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan Reddy
In Cornell University, : , 05/2018
Citatations: BibTeX

New! Neural Abstractive Text Summarization with Sequence-to-Sequence Models

Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan Reddy
In Cornell University, : , 12/2018
Citatations: BibTeX

New! Determining Relative Airport Threats from News and Social Media

Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Naren Ramakrishnan
In Proceedings of the Innovative Applications of Artificial Intelligence, (pp 4701-4707), 02/2017
Citatations: BibTeX

New! Distributed Representations of Subgraphs

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan
In Proceedings of the IEEE International Conference on Data Mining Workshops, (pp 111-117), 12/2017
Citatations: BibTeX

New! New methods to generate massive synthetic networks

Lenwood Heath, Naren Ramakrishnan
In Cornell University, : , 05/2017
Citatations: BibTeX

New! Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources

Saurav Ghosh, Prithwish Chakraborty, Bryan Lewis, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan
In Cornell University, : , 02/2017
Citatations: BibTeX

New! Gaussian Process Models in Spatial Data Mining

Naren Ramakrishnan
In Springer Encyclopedia of GIS, : 639-644, 05/2017
Citatations: BibTeX

New! Absenteeism Detection in Social Media

Fang Jin, Feng Chen, Rupinder Paul Khandpur, Naren Ramakrishnan
In Proceedings of the SIAM International Conference on Data Mining, (pp 606-614),
Citatations: BibTeX

New! Pruning Decision Trees via Max-Heap Projection

Jieping Ye, Naren Ramakrishnan
In Proceedings of the SIAM International Conference on Data Mining, (pp 10-18),
Citatations: BibTeX

New! A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation

Yue Ning, Naren Ramakrishnan
In Proceedings of the , (pp 23-31), 08/2017
Citatations: BibTeX

New! GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources

Saurav Ghosh, Prithwish Chakraborty, Bryan Lewis, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 1477–1485), 08/2017
Citatations: BibTeX

New! Tracking Multiple Social Media for Stock Market Event Prediction

Fang Jin, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, Naren Ramakrishnan
In Proceedings of the , (pp ), 07/2017
Citatations: BibTeX

New! Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media

Rupinder Paul Khandpur, Taoran Ji, Naren Ramakrishnan
In Proceedings of the CIKM, (pp 1049-1057), 11/2017
Citatations: BibTeX

New! Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data

Xuchao Zhang, Liang Zhao, Arnold Boediardjo, Naren Ramakrishnan
In Proceedings of the CIKM, (pp 507-516), 11/2017
Citatations: BibTeX

New! Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting

Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Naren Ramakrishnan
In IEEE Transactions on Knowledge and Data Engineering, 29 5: 1059 - 1072, 01/2017
Citatations: BibTeX

New! Long-Span Program Behavior Modeling and Attack Detection

Naren Ramakrishnan
In ACM Transactions on Privacy and Security, 20 4: 1-28, 09/2017
Citatations: BibTeX

New! Forecasting rare disease outbreaks from open source indicators

Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Saurav Ghosh, Naren Ramakrishnan
In Statistical Analysis and Data Mining, 10 2: 136-150, 03/2017
Citatations: BibTeX

New! Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization

Liang Zhao, Feng Chen, Naren Ramakrishnan
In Proceedings of the IEEE, 105 10: 1953 - 1970, 08/2017
Citatations: BibTeX

An improved probability-one homotopy map for tracking constrained clustering solutions

Layne T. Watson, Naren Ramakrishnan
In Proceedings of the ACM Spring Simulation Multiconference, (pp ), 04/2015
Citatations: BibTeX

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System

Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak Gupta, David Mares, Naren Ramakrishnan
In Proceedings of the ACM ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp ), 08/2016
Citatations: BibTeX

Seeing the forest for the trees: new approaches to forecasting cascades

Patrick Butler, Naren Ramakrishnan
In Proceedings of the ACM ACM Conference on Web Science, (pp ), 05/2016
Citatations: BibTeX

Predicting the Popularity of News Articles

Yaser Keneshloo, Naren Ramakrishnan
In Proceedings of the SIAM International Conference, (pp ), 05/2016
Citatations: BibTeX

Event Detection from Blogs Using Large Scale Analysis of Metaphorical Usage

David Mares, Michael Roan, Naren Ramakrishnan
In Proceedings of the Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, (pp ),
Citatations: BibTeX

Leveraging Propagation for Data Mining: Models, Algorithms and Applications

Naren Ramakrishnan
In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, (pp ), 08/2016
Citatations: BibTeX

Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting

Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, (pp ), 08/2016
Citatations: BibTeX

Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning

Yue Ning, Sathappan Muthiah, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, (pp ), 08/2016
Citatations: BibTeX

EMBERS AutoGSR: Automated Coding of Civil Unrest Events

Parang Saraf, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, (pp ), 08/2016
Citatations: BibTeX

Multi-resolution Spatial Event Forecasting in Social Media

Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
In Proceedings of the IEEE IEEE International Conference on Data Mining, (pp ), 12/2016
Citatations: BibTeX

Automatical Storyline Generation with Help from Twitter

Ting Hua, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
In Proceedings of the ACM ACM International Conference on Information Managment, (pp ), 10/2016
Citatations: BibTeX

Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach

Saurav Ghosh, Prithwish Chakraborty, John S. Brownstein, Naren Ramakrishnan
In Proceedings of the ACM ACM International Conference on Information Managment, (pp ), 10/2016
Citatations: BibTeX

A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events

Wei Wang, Yue Ning, Naren Ramakrishnan
In Proceedings of the ACM ACM International Conference on Information Managment, (pp ), 10/2016
Citatations: BibTeX

Causality-based Sensemaking of Network Traffic for Android Application Security

Hao Zhang, Naren Ramakrishnan
In Proceedings of the ACM ACM Workshop on Artificial Intelligence and Security, (pp ), 10/2016
Citatations: BibTeX

Predicting the shape and peak time of news article views

Yaser Keneshloo, Naren Ramakrishnan
In Proceedings of the IEEE IEEE International Conference on Big Data, (pp ), 12/2016
Citatations: BibTeX

Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior

Pejman Khadivi, Naren Ramakrishnan
In Proceedings of the AAAI The AAAI conference on Artificial Intelligence, (pp ), 02/2016
Citatations: BibTeX

Topical Analysis of Interactions Between News and Social Media

Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
In Proceedings of the AAAI The AAAI conference on Artificial Intelligence, (pp ), 02/2016
Citatations: BibTeX

Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors

Feng Chen, Naren Ramakrishnan
In Proceedings of the AAAI The AAAI conference on Artificial Intelligence, (pp ), 02/2016
Citatations: BibTeX

Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices

Mohammad Raihanul Islam, K S M Tozammel Hossain, Naren Ramakrishnan
In Proceedings of the AAAI The AAAI conference on Artificial Intelligence, (pp ), 02/2016
Citatations: BibTeX

BiSet: Semantic Edge Bundling with Biclusters for Sensemaking

Maoyuan Sun, Peng Mi, Chris North, Naren Ramakrishnan
In IEEE Trans. Visualization and Computer Graphics, 22 1: 310-319, 01/2016
Citatations: BibTeX

Online Spatial Event Forecasting in Microblogs

Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
In ACM Transactions on Spatial Algorithms and Systems (TSAS), 2 4: 15:1-15:39, 11/2016
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Multi-source models for civil unrest forecasting

Gizem Korkmaz, Jose Cadena, Chris Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan
In Social Network Analysis and Mining, 6 1: 50:1-50:25, 01/2016
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The big data of violent events: algorithms for association analysis using spatio-temporal storytelling

Arnold Boediardjo, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
In GeoInformatica, 20 4: 879-921, 10/2016
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Automatic targeted-domain spatiotemporal event detection in twitter

Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
In GeoInformatica, 20 4: 765-795, 10/2016
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A framework for intelligence analysis using spatio-temporal storytelling

Arnold Boediardjo, Feng Chen, Chang-Tien Lu, Patrick Butler, Naren Ramakrishnan
In GeoInformatica, 20 2: 285-326, 03/2016
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Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models

K S M Tozammel Hossain, Patrick Butler, Liangzhe Chen, Naren Ramakrishnan
In Springer Data Mining and Knowledge Discovery, 30 3: 681-710, 03/2016
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Big Data

Naren Ramakrishnan
In Big Data, 49 4: 20-22, 04/2016
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Causality reasoning about network events for detecting stealthy malware activities

Hao Zhang, Naren Ramakrishnan
In Computer & Security, 58 : 180-198, 06/2016
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Capturing Planned Protests from Open Source Indicators

Sathappan Muthiah, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
In AI Magazine, 37 2: 63-75, 07/2016
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Spatiotemporal Event Forecasting in Social Media

Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
In Proceedings of the SIAM International Conference, (pp ), 04/2015
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SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources

Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan
In Proceedings of the SIAM International Conference, (pp ), 04/2015
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Concurrent Inference of Topic Models and Distributed Vector Representations

Parang Saraf, M. Shahriar Hossain, Naren Ramakrishnan
In Proceedings of the ECML/PKDD:Machine Learning and Knowledge Discovery in Databases, (pp ), 08/2015
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Time series forecasting via noisy channel reversal

Pejman Khadivi, Prithwish Chakraborty, Naren Ramakrishnan
In Proceedings of the IEEE IEEE International Workshop on Machine Learning for Signal Processing (MLSP), (pp ), 09/2015
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Online denoising of discrete noisy data

Pejman Khadivi, Naren Ramakrishnan
In Proceedings of the IEEE IEEE International Symposium on Information Theory (ISIT), (pp ), 06/2015
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Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths

Naren Ramakrishnan
In Proceedings of the ACM ACM SIGSAC Conference on Computer and Communications Security, (pp ), 10/2015
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Dynamic theme tracking in Twitter

Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
In Proceedings of the IEEE IEEE International Conference on Big Data, (pp ), 12/2015
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Combining Heterogeneous Data Sources for Civil Unrest Forecasting

Gizem Korkmaz, Jose Cadena, Chris Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan
In Proceedings of the IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM), (pp ), 08/2015
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Uncovering News-Twitter Reciprocity via Interaction Patterns

Yue Ning, Sathappan Muthiah, Naren Ramakrishnan
In Proceedings of the ACM IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM), (pp ), 08/2015
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Planned Protest Modeling in News and Social Media

Sathappan Muthiah, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
In Proceedings of the The AAAI conference on Artificial Intelligence, (pp ), 04/2015
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ThemeDelta: Dynamic Segmentations over Temporal Topic Models

Samah Gad, Naren Ramakrishnan
In IEEE Visualization and Computer Graphics, 21 5: 672 - 685, 01/2015
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Bayesian Model Fusion for Forecasting Civil Unrest

Scotland C. Leman, Parang Saraf, Naren Ramakrishnan
In Technometrics, 57 3: 332-340, 02/2015
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How events unfold: Spatiotemporal mining in social media

Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
In ACM SIGSPATIAL Special, 7 3: 19-25, 01/2016
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Model-Based Forecasting of Significant Societal Events

Naren Ramakrishnan, Chang-Tien Lu, Madhav Marathe, Achla Marathe, Anil Vullikanti, Scotland C. Leman, Michael Roan, John S. Brownstein, Kristen Summers, Lise Getoor, Aravind Srinivasan, Dipak Gupta, David Mares
In IEEE Intelligent Systems, 30 5: 86-90, 09/2015
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Pricing a Protest: Forecasting the Dynamics of Civil Unrest Activity in Social Media

Michael Roan, Naren Ramakrishnan
In PLOS, : , 10/2015
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Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion.

Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward Dougherty, Sheng Guo, Feng Chen, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 1660-1669), 08/2014
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Coordinated Clustering Algorithms to Support Charging Infrastructure Design for Electric Vehicles

Marjan Momtazpour, Patrick Butler, M. Shahriar Hossain, Mohammad C. Bozchalui, Naren Ramakrishnan, Ratnesh Sharma
In Proceedings of the ACM SIGKDD International Workshop on Urban Computing, (pp 126-133), 08/2012
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Storytelling in Entity Networks to Support Intelligence Analysts

M. Shahriar Hossain, Patrick Butler, Arnold Boediardjo, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp ), 08/2012
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The Deshredder: A Visual Analytic Approach to Deconstructing Shredded Documents

Patrick Butler, Prithwish Chakraborty, Naren Ramakrishnan
In Proceedings of the IEE Symposium on Visual Analytics Science and Technology (VAST), (pp 113-122), 10/2012
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Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions

Prithwish Chakraborty, Pejman Khadivi, Bryan Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan
In Proceedings of the SIAM International Conference on Data Mining, (pp ), 10/2014
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Beating the news’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators

Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris Kuhlman, Achla Marathe, Liang Zhao, Feng Chen, Chang-Tien Lu, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares
In Proceedings of the , (pp ), 08/2014
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Mining Posets from Linear Orders

Procesco L. Fernandez, Lenwood Heath, Naren Ramakrishnan, Michael Tan, John Paul Vergara
In Algorithms and Applications, 5 4: , 10/2013
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Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling

Liang Zhao, Feng Chen, Jing Dai, Ting Hua, Chang-Tien Lu, Naren Ramakrishnan
In PLOS, : , 10/2014
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SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning

Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
In Proceedings of the IEEE International Conference on Data Mining, (pp 639-648), 11/2015
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Reverse engineering dynamic temporal models of biological processes and their relationships

Naren Ramakrishnan, Satish Tadepalli, Layne T. Watson, Richard F Helm, Marco Antoniotti, Bud Mishra
In Proceedings of the National Academy of Sciences, 107 28: , 05/2010
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Scatter/gather clustering: flexibly incorporating user feedback to steer clustering results

M. Shahriar Hossain, Praveen Kumar Reddy Ojili, Cindy Grimm, Rolf Muller, Layne T. Watson, Naren Ramakrishnan
In IEEE Trans. Visualization and Computer Graphics, 18 12: , 12/2012
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Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models

K S M Tozammel Hossain, Patrick Butler, Naren Ramakrishnan
In Springer Data Mining and Knowledge Discovery, : 1-30, 09/2015
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Experiences with mining temporal event sequences from electronic medical records

Debprakash Patnaik, Patrick Butler, Naren Ramakrishnan, Laxmi Parida, Benjamin J. Keller, David A. Hanauer
In Proceedings of the SIGKDD international conference on Knowledge discovery and data mining, (pp 360-368), 09/2015
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SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text

Shashidhar Sundereisan, Abhay Bhadriraju, M. Saquib Khan, Naren Ramakrishnan
In Proceedings of the IEEE/ACM Advances in Social Networks Analysis and Mining (ASONAM), (pp 649 - 656), 08/2014
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Bixplorer: Visual Analytics with Biclusters

Patrick Fiaux, Maoyuan Sun, Lauren Bradel, Chris North, Naren Ramakrishnan, Alex Endert
In Computer, 46 8: 90--94, 08/2013
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Epidemiological modeling of news and rumors on Twitter

Fang Jin, Edward Dougherty, Parang Saraf, Yang Cao, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, (pp ), 08/2013
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How to “alternatize” a clustering algorithm

M. Shahriar Hossain, Naren Ramakrishnan, Ian Davidson, Layne T. Watson
In Proceedings of the 2nd IEEE International Conference on Data Mining, (pp 193--224), 09/2013
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Analyzing Civil Unrest through Social Media

Ting Hua, Chang-Tien Lu, Naren Ramakrishnan, Feng Chen, Jaime Arredondo, David Mares, Kristen Summers
In Computer, 46 12: 80--84, 12/2013
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Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak?

Patrick Butler, Naren Ramakrishnan, Elaine O. Nsoesie, John S. Brownstein
In Computer, 47 4: 94--97, 04/2014
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Detection of stealthy malware activities with traffic causality and scalable triggering relation discovery

Hao Zhang, Naren Ramakrishnan
In Proceedings of the ACM ACM symposium on Information computer and communications security, (pp 39-50), 06/2014
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Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas

Hao Wu, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
In Springer Data Mining and Knowledge Discovery, 28 5-6: 1398--1428, 07/2014
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Misinformation Propagation in the Age of Twitter

Fang Jin, Wei Wang, Liang Zhao, Edward Dougherty, Yang Cao, Chang-Tien Lu, Naren Ramakrishnan
In Computer, 47 12: 90--94, 12/2014
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Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models

K S M Tozammel Hossain, Patrick Butler, Naren Ramakrishnan
In Proceedings of the IEEE International Conference on Data Mining, (pp 755-760), 12/2014
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AutoLCA: A Framework for Sustainable Redesign and Assessment of Products

M. Shahriar Hossain, Manish Marwah, Amip Shah, Layne T. Watson, Naren Ramakrishnan
In ACM Transactions on Intelligent Systems and Technology (TIST), 5 2: 1--21, 04/2014
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The role of interactive biclusters in sensemaking

Maoyuan Sun, Lauren Bradel, Chris North, Naren Ramakrishnan
In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, (pp ), 05/2014
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Modeling mass protest adoption in social network communities using geometric brownian motion

Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward Dougherty, Sheng Guo, Feng Chen, Naren Ramakrishnan
In Proceedings of the SIGKDD international conference on Knowledge discovery and data mining, (pp ), 08/2014
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Charging and Storage Infrastructure Design for Electric Vehicles

Marjan Momtazpour, Patrick Butler, Naren Ramakrishnan, M. Shahriar Hossain, Mohammad C. Bozchalui, Ratnesh Sharma
In ACM Transactions on Intelligent Systems and Technology (TIST), 5 3: 1--27, 09/2014
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Multi-Task Learning for Spatio-Temporal Event Forecasting

Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
In Proceedings of the SIGKDD international conference on Knowledge discovery and data mining, (pp 1503--1512), 09/2015
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Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression

Marjan Momtazpour, Jinghe Zhang, Saifur Rahman, Ratnesh Sharma, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, (pp 2009--2018), 09/2015
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Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction

Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, (pp 1285--1294), 09/2015
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Integrated Computing Environments for Watershed Management

Layne T. Watson, Vinod K. Lohani, David F. Kibler, Randel L. Dymond, Naren Ramakrishnan, Clifford Shaffer
In Computer, 16 4: 259--268, 10/2002
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Sustainable operation and management of data center chillers using temporal data mining

Debprakash Patnaik, Manish Marwah, Ratnesh Sharma, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, (pp 1305--1314), 06/2009
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Reasoning about sets using redescription mining

Mohammed J Zaki, Naren Ramakrishnan
In Proceedings of the ACM , (pp 364--373), 08/2005
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Turning CARTwheels: an alternating algorithm for mining redescriptions

Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malcolm Potts, Richard F Helm
In Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, (pp 266--275), 08/2004
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Data mining: from serendipity to science

Naren Ramakrishnan, Ananth Y Grama
In Computer, 32 8: 34--37, 08/1999
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Studying recommendation algorithms by graph analysis

Batul J Mirza, Benjamin J. Keller, Naren Ramakrishnan
In Journal of Intelligent Information Systems, 20 2: 131--160, 03/2003
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Privacy risks in recommender systems

Naren Ramakrishnan, Benjamin J. Keller, Batul J Mirza, Ananth Y Grama, George Karypis
In IEEE Internet Computing, 5 6: 54--62, 08/2001
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Publications authored with Naren Ramakrishnan