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DIAL Publications

2013

  1. Saurav Pandit, Jonathan Koch, Yang Yang, Brian Uzzi, and Nitesh V. Chawla. “Red Black Network: Temporal and Topological Analysis of Two Intertwined Social Networks.” Proceedings of the 32nd Annual International Conference for Military Communications (MILCOM), pp. 719–724, 2013. PDF
  2. Pablo Meyer, Geoffrey H. Siwo, Danny Zeevi, Eilon Sharon, Raquel Norel, DREAM6 Promoter Prediction Consortium, Eran Segal, and Gustavo Stolovitzky. “Inferring Gene Expression from Ribosomal Promoter Sequences, A Crowdsourcing Approach.” Genome Research, 23(11):1928–1937, 2013. PDF SUPP
  3. Andrew K. Rider, Reid A. Johnson, Darcy A. Davis, T. Ryan Hoens, and Nitesh V. Chawla. “Classifier Evaluation with Missing Negative Class Labels.” Advances in Intelligent Data Analysis XII (IDA), pp. 380–391, 2013. PDF
  4. Nathan Regola, David A. Cieslak, and Nitesh V. Chawla. “The Need to Consider Hardware Selection When Designing Big Data Applications Supported by Metadata.” Big Data Management, Technologies, and Applications, pp. 381–396, 2013. PDF
  5. Yuxiao Dong, Jie Tang, Tiancheng Lou, Bin Wu, and Nitesh V. Chawla. “How Long Will She Call Me? Distribution, Social Theory and Duration Prediction.” Proceedings of the 24th European Conference on Machine Learning and the 17th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), pp. 16–31, 2013. PDF
  6. Andrew K. Rider and Nitesh V. Chawla. “An Ensemble Topic Model for Sharing Healthcare Data and Predicting Disease Risk.” Proceedings of the ACM Conference on Bioinformatics, Computational Biology, and Biomedical Informatics (ACM-BCB), pp. 333–340, 2013. PDF
  7. Nitesh V. Chawla and Darcy A. Davis. “Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework.” Journal of General Internal Medicine (JGIM), 28(3):660–665, 2013. PDF
  8. T. Ryan Hoens, Marina Blanton, Aaron Steele, and Nitesh V. Chawla. “Reliable Medical Recommendation Systems with Patient Privacy.” ACM Transactions on Intelligent Systems and Technology (TIST), 4(4):67, 2013. PDF
  9. Andrew K. Rider, Nitesh V. Chawla, and Scott J. Emrich. “A Survey of Current Integrative Network Algorithms for Systems Biology.” Systems Biology, pp. 479–495, 2013. PDF
  10. Yang Yang, Nitesh V. Chawla, Prithwish Basu, Bhaskar Prabhala, and Thomas La Porta. “Link Prediction in Human Mobility Networks.” Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 380–387, 2013. PDF
  11. Darcy A. Davis, Ryan N. Lichtenwalter, and Nitesh V. Chawla. “Supervised Methods for Multi-Relational Link Prediction.” Social Networks Analysis and Mining (SNAM), 3(2):127–141, 2013. PDF
  12. T. Ryan Hoens and Nitesh V. Chawla. “Imbalanced Datasets: From Sampling to Classifiers.” Imbalanced Learning: Foundations, Algorithms, and Applications, pp. 43–59, 2013. PDF
  13. Robert Thompson and Nitesh V. Chawla. “Addressing Challenges in Prescription Management.” Proceedings of the 24th Annual Conference of the Production and Operations Management Society (POMS), no. 1610, 2013. PDF
  14. Yang Yang, Nitesh V. Chawla, Xiaohui Lu, and Sibel Adal. “Prominence in Networks: A Co-evolving Process.” Proceedings of the 2nd IEEE International Network Science Workshop (NSW), pp. 58–65, 2013. PDF
  15. Rachael Purta, Saurabh Nagrecha, and Gregory Madey. “Multi-hop Communications in a Swarm of UAVs.” Proceedings of the Agent-Directed Simulation Symposium (ADSS), no. 5, 2013. PDF
  16. Cheng Wang, Omar Lizardo, David Hachen, Anthony Strathman, Zoltán Toroczkai, and Nitesh V. Chawla. “A Dyadic Reciprocity Index for Repeated Interaction Networks.” Network Science, 1(01):31–48, 2013. PDF
  17. Nathan Regola and Nitesh V. Chawla. “Storing and Using Health Data in a Virtual Private Cloud.” Journal of Medical Internet Research (JMIR), 15(3):e63, 2013. PDF SUPPYang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Chawla, and Jiawei Han. “Perspective on Measurement Metrics for Community Detection Algorithms.” Mining Social Networks and Security Informatics, pp. 227–242, 2013. PDF

2012

  1. Yuxiao Dong, Jie Tang, Sen Wu, Jilei Tian, Nitesh V. Chawla, Jinghai Rao, and Huanhuan Cao. “Link Prediction and Recommendation Across Heterogeneous Social Networks.” Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pp. 181–190, 2012. PDF
  2. Yang Yang, Nitesh V. Chawla, Yizhou Sun, and Jiawei Han. “Predicting Links in Multi-relational and Heterogeneous Networks.” Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pp. 755–764, 2012. PDF
  3. Saurav Pandit, Yang Yang, and Nitesh V. Chawla. “Maximizing Information Spread Through Influence Structures in Social Networks.” Proceedings of the DaMNet Workshop of the 12th IEEE International Conference on Data Mining (DaMNet-ICDMW), pp. 258–265, 2012. PDF
  4. Nitesh V. Chawla and Yang Yang. “Link Prediction: A Primer.” Encyclopedia of Social Network Analysis and Mining, pp. 813–820, 2012. PDF
  5. Reid A. Johnson, Nitesh V. Chawla, and Jessica J. Hellmann. “Species Distribution Modeling and Prediction: A Class Imbalance Problem.” Proceedings of the Conference on Intelligent Data Understanding (CIDU), pp. 9–16, 2012. PDF
  6. Ryan N. Lichtenwalter and Nitesh V. Chawla. “Link Prediction: Fair and Effective Evaluation.” Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 376–383, 2012. PDF
  7. T. Ryan Hoens and Nitesh V. Chawla. “Learning in Non-stationary Environments with Class Imbalance.” Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 168–176,s 2012. PDF
  8. Karsten Steinhaeuser, Auroop R. Ganguly, and Nitesh V. Chawla. “Multivariate and Multiscale Dependence in the Global Climate System Revealed Through Complex Networks.” Climate Dynamics, 39(3-4):889–895, 2012. PDF
  9. Nathan Regola, David A. Cieslak, and Nitesh V. Chawla. “The Constraints of Magnetic Versus Flash Disk Capabilities in Big Data Analysis.” Proceedings of 2nd ACM Workshop on Architectures and Systems for Big Data (ASBD), pp. 4–9, 2012. PDF
  10. T. Ryan Hoens, Qi Aian, Nitesh V. Chawla, and Zhi-Hua Zhou. “Building Decision Trees for the Multi-class Imbalance Problem.” Advances in Knowledge Discovery and Data Mining (PAKDD), pp. 122–134, 2012. PDF
  11. Mária Ercsey-Ravasz, Ryan N. Lichtenwalter, Nitesh V. Chawla, and Zoltán Toroczkai. “Range-Limited Centrality Measures in Complex Networks.” Physical Review E, 85(6):660–665, 2012. PDF
  12. Reid A. Johnson, Yang Yang, Everaldo Aguiar, Andrew K. Rider, and Nitesh V. Chawla. “ALIVE: A Multi-Relational Link Prediction Environment for the Healthcare Domain.” Proceedings of the 3rd Workshop on Data Mining for Healthcare Management at the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (DMHM-PAKDD), pp. 36–46, 2012. PDF
  13. Ryan N. Lichtenwalter and Nitesh V. Chawla. “Vertex Collocation Profiles: Subgraph Counting for Link Analysis and Prediction.” Proceedings of 21st International Conference on World Wide Web (WWW), pp. 1019–1028, 2012. PDF
  14. T. Ryan Hoens, Robi Polikar, and Nitesh V. Chawla. “Learning from Streaming Data with Concept Drift and Imbalance: An Overview.” Progress in Artificial Intelligence (PRAI), 1(1):89–101, 2012. PDF
  15. Yizhou Sun, Jiawei Han, Charu C. Aggarwal, and Nitesh V. Chawla. “When Will It Happen? Relationship Prediction in Heterogeneous Information Networks.” Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM), pp. 663–672, 2012. PDF
  16. David A. Cieslak, T. Ryan Hoens, Nitesh V. Chawla, and W. Philip Kegelmeyer. “Hellinger Distance Decision Trees are Robust and Skew-Insensitive.” Data Mining and Knowledge Discovery (DMKD), 24(1):136–158, 2012. PDF
  17. Nitesh V. Chawla, and Francisco Herrera. “A Unifying View on Dataset Shift in Classification.” Pattern Recognition, 45(1):521–530, 2012. PDF
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