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Nitesh Chawla - Publications

Affiliations: 
University of Notre Dame, Notre Dame, IN, United States 
Area:
Computer Science
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69 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Saebi M, Xu J, Grey EK, Lodge DM, Corbett JJ, Chawla N. Higher-order patterns of aquatic species spread through the global shipping network. Plos One. 15: e0220353. PMID 32735579 DOI: 10.1371/Journal.Pone.0220353  0.306
2020 Huang C, Wang D, Chawla NV. Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems Ieee Transactions On Big Data. 6: 702-713. DOI: 10.1109/Tbdata.2017.2669308  0.353
2019 Faust L, Wang C, Hachen D, Lizardo O, Chawla NV. Physical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data. Jmir Mhealth and Uhealth. 7: e11075. PMID 30860488 DOI: 10.2196/11075  0.55
2017 Bahulkar A, Szymanski BK, Chawla N, Lizardo O, Chan K. Influence of Personal Preferences on Link Dynamics in Social Networks Complexity. 2017: 1-12. DOI: 10.1155/2017/4543563  0.61
2016 Siwo G, Rider A, Tan A, Pinapati R, Emrich S, Chawla N, Ferdig M. Prediction of fine-tuned promoter activity from DNA sequence. F1000research. 5: 158. PMID 27347373 DOI: 10.12688/F1000Research.7485.1  0.694
2015 Feldman K, Davis D, Chawla NV. Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration. Journal of Biomedical Informatics. PMID 26254848 DOI: 10.1016/J.Jbi.2015.07.017  0.537
2015 Feldman K, Davis D, Chawla NV. Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration Journal of Biomedical Informatics. 57: 377-385. DOI: 10.1016/j.jbi.2015.07.017  0.481
2015 Yang Y, Lichtenwalter RN, Chawla NV. Evaluating link prediction methods Knowledge and Information Systems. 45: 751-782. DOI: 10.1007/S10115-014-0789-0  0.774
2015 Johnson RA, Raeder T, Chawla NV. Optimizing classifiers for hypothetical scenarios Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9077: 264-276. DOI: 10.1007/978-3-319-18038-0_21  0.704
2014 Rider AK, Milenković T, Siwo GH, Pinapati RS, Emrich SJ, Ferdig MT, Chawla NV. Networks' Characteristics Matter for Systems Biology. Network Science (Cambridge University Press). 2: 139-161. PMID 26500772 DOI: 10.1017/Nws.2014.13  0.714
2014 Lichtenwalter RN, Chawla NV. Vertex collocation profiles: theory, computation, and results. Springerplus. 3: 116. PMID 25392767 DOI: 10.1186/2193-1801-3-116  0.789
2014 Rider AK, Siwo G, Emrich SJ, Ferdig MT, Chawla NV. A supervised learning approach to the ensemble clustering of genes. International Journal of Data Mining and Bioinformatics. 9: 199-219. PMID 24864378 DOI: 10.1504/IJDMB.2014.059062  0.69
2014 Xu J, Wickramarathne TL, Chawla NV, Grey EK, Steinhaeuser K, Keller RP, Drake JM, Lodge DM. Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: Data mining for social good Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1699-1708. DOI: 10.1145/2623330.2623364  0.691
2013 Chawla NV, Davis DA. Bringing big data to personalized healthcare: a patient-centered framework. Journal of General Internal Medicine. 28: S660-5. PMID 23797912 DOI: 10.1007/S11606-013-2455-8  0.492
2013 Regola N, Cieslak DA, Chawla NV. The need to consider hardware selection when designing big data applications supported by metadata Big Data Management, Technologies, and Applications. 381-396. DOI: 10.4018/978-1-4666-4699-5.ch015  0.734
2013 Rider AK, Chawla NV. An ensemble topic model for sharing healthcare data and predicting disease risk 2013 Acm Conference On Bioinformatics, Computational Biology and Biomedical Informatics, Acm-Bcb 2013. 333-340. DOI: 10.1145/2506583.2506640  0.712
2013 Davis D, Lichtenwalter R, Chawla NV. Supervised methods for multi-relational link prediction Social Network Analysis and Mining. 3: 127-141. DOI: 10.1007/S13278-012-0068-6  0.808
2013 Rider AK, Chawla NV, Emrich SJ. A survey of current integrative network algorithms for systems biology Systems Biology. 1: 479-495. DOI: 10.1007/978-94-007-6803-1_17  0.719
2013 Rider AK, Johnson RA, Davis DA, Hoens TR, Chawla NV. Classifier evaluation with missing negative class labels Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8207: 380-391. DOI: 10.1007/978-3-642-41398-8_33  0.751
2013 Johnson RA, Yang Y, Aguiar E, Rider A, Chawla NV. ALIVE: A multi-relational link prediction environment for the healthcare domain Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7769: 36-46. DOI: 10.1007/978-3-642-36778-6_4  0.669
2012 Ercsey-Ravasz M, Lichtenwalter RN, Chawla NV, Toroczkai Z. Range-limited centrality measures in complex networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 066103. PMID 23005158 DOI: 10.1103/Physreve.85.066103  0.757
2012 Regola N, Cieslak DA, Chawla NV. The constraints of magnetic versus flash disk capabilities in big data analysis Acm International Conference Proceeding Series. 4-9. DOI: 10.1145/2379436.2379437  0.747
2012 Hoens TR, Chawla NV. Learning in non-stationary environments with class imbalance Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 168-176. DOI: 10.1145/2339530.2339558  0.788
2012 Lichtenwalter RN, Chawla NV. Vertex collocation profiles: Subgraph counting for link analysis and prediction Www'12 - Proceedings of the 21st Annual Conference On World Wide Web. 1019-1028. DOI: 10.1145/2187836.2187973  0.783
2012 Yang Y, Chawla N, Sun Y, Hani J. Predicting links in multi-relational and heterogeneous networks Proceedings - Ieee International Conference On Data Mining, Icdm. 755-764. DOI: 10.1109/ICDM.2012.144  0.304
2012 Lichtenwalter R, Chawla NV. Link prediction: Fair and effective evaluation Proceedings of the 2012 Ieee/Acm International Conference On Advances in Social Networks Analysis and Mining, Asonam 2012. 376-383. DOI: 10.1109/ASONAM.2012.68  0.785
2012 Moreno-Torres JG, Raeder T, Alaiz-Rodríguez R, Chawla NV, Herrera F. A unifying view on dataset shift in classification Pattern Recognition. 45: 521-530. DOI: 10.1016/J.Patcog.2011.06.019  0.725
2012 Cieslak DA, Hoens TR, Chawla NV, Kegelmeyer WP. Hellinger distance decision trees are robust and skew-insensitive Data Mining and Knowledge Discovery. 24: 136-158. DOI: 10.1007/S10618-011-0222-1  0.781
2012 Steinhaeuser K, Ganguly AR, Chawla NV. Multivariate and multiscale dependence in the global climate system revealed through complex networks Climate Dynamics. 39: 889-895. DOI: 10.1007/S00382-011-1135-9  0.694
2012 Hoens TR, Qian Q, Chawla NV, Zhou ZH. Building decision trees for the multi-class imbalance problem Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7301: 122-134. DOI: 10.1007/978-3-642-30217-6_11  0.783
2012 Raeder T, Forman G, Chawla NV. Learning from Imbalanced Data: Evaluation Matters Intelligent Systems Reference Library. 23: 315-331. DOI: 10.1007/978-3-642-23166-7_12  0.733
2011 Davis DA, Chawla NV. Exploring and exploiting disease interactions from multi-relational gene and phenotype networks. Plos One. 6: e22670. PMID 21829475 DOI: 10.1371/Journal.Pone.0022670  0.55
2011 Chawla NV, Ganguly AR, Kumar V, Steinbach M, Steinhaeuser K, Banerjee A, Borne K, Chandola V, Chatterjee S, Erickson DJ, Gaber MM, Ghanem R, Graves SJ, Kumar N, Lozano AC, et al. Preface Proceedings - Ieee International Conference On Data Mining, Icdm. xxi-xxii. DOI: 10.1109/ICDMW.2011.187  0.626
2011 Hoens TR, Chawla NV, Polikar R. Heuristic Updatable Weighted Random Subspaces for non-stationary environments Proceedings - Ieee International Conference On Data Mining, Icdm. 241-250. DOI: 10.1109/ICDM.2011.75  0.799
2011 Pelan A, Steinhaeuser K, Chawla NV, De Alwis Pitts DA, Ganguly AR. Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system Ieee Ssci 2011: Symposium Series On Computational Intelligence - Cidm 2011: 2011 Ieee Symposium On Computational Intelligence and Data Mining. 239-245. DOI: 10.1109/CIDM.2011.5949305  0.698
2011 Raeder T, Lizardo O, Hachen D, Chawla NV. Predictors of short-term decay of cell phone contacts in a large scale communication network Social Networks. 33: 245-257. DOI: 10.1016/J.Socnet.2011.07.002  0.785
2011 Raeder T, Chawla NV. Market basket analysis with networks Social Network Analysis and Mining. 1: 97-113. DOI: 10.1007/S13278-010-0003-7  0.768
2011 Steinhaeuser K, Chawla NV, Ganguly AR. Comparing predictive power in climate data: Clustering matters Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6849: 39-55. DOI: 10.1007/978-3-642-22922-0_4  0.669
2011 Steinhaeuser K, Chawla NV, Ganguly AR. Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science Statistical Analysis and Data Mining. 4: 497-511. DOI: 10.1002/Sam.10100  0.721
2010 Rider AK, Siwo G, Chawla NV, Ferdig M, Emrich SJ. A statistical approach to finding overlooked genetic associations. Bmc Bioinformatics. 11: 526. PMID 20964847 DOI: 10.1186/1471-2105-11-526  0.667
2010 Gray JE, Davis DA, Pursley DM, Smallcomb JE, Geva A, Chawla NV. Network analysis of team structure in the neonatal intensive care unit. Pediatrics. 125: e1460-7. PMID 20457681 DOI: 10.1542/Peds.2009-2621  0.468
2010 Lichtenwalter R, Lichtenwalter K, Chawla N. A Machine-Learning Approach to Autonomous Music Composition Journal of Intelligent Systems. 19. DOI: 10.1515/JISYS.2010.19.2.95  0.737
2010 Hoens TR, Blanton M, Chawla NV. Reliable medical recommendation systems with patient privacy Ihi'10 - Proceedings of the 1st Acm International Health Informatics Symposium. 173-182. DOI: 10.1145/1882992.1883018  0.769
2010 Steinhaeuser K, Chawla NV, Ganguly AR. An exploration of climate data using complex networks Acm Sigkdd Explorations Newsletter. 12: 25-32. DOI: 10.1145/1882471.1882476  0.695
2010 Lichtenwalter RN, Lussier JT, Chawla NV. New perspectives and methods in link prediction Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 243-252. DOI: 10.1145/1835804.1835837  0.79
2010 Hoens TR, Blanton M, Chawla NV. A private and reliable recommendation system for social networks Proceedings - Socialcom 2010: 2nd Ieee International Conference On Social Computing, Passat 2010: 2nd Ieee International Conference On Privacy, Security, Risk and Trust. 816-825. DOI: 10.1109/SocialCom.2010.124  0.79
2010 Chawla NV, Ganguly AR, Kumar V, Steinbach M, Steinhaeuser K. Preface to the 2010 workshop on knowledge discovery from climate data: Prediction, extremes, and impacts Proceedings - Ieee International Conference On Data Mining, Icdm. DOI: 10.1109/ICDMW.2010.209  0.682
2010 Raeder T, Hoens TR, Chawla NV. Consequences of variability in classifier performance estimates Proceedings - Ieee International Conference On Data Mining, Icdm. 421-430. DOI: 10.1109/ICDM.2010.110  0.785
2010 Rider A, Siwo G, Emrich S, Ferdig M, Chawla NV. A supervised learning approach to the unsupervised clustering of genes Proceedings - 2010 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2010. 323-328. DOI: 10.1109/BIBM.2010.5706585  0.684
2010 Steinhaeuser K, Chawla NV. Identifying and evaluating community structure in complex networks Pattern Recognition Letters. 31: 413-421. DOI: 10.1016/J.Patrec.2009.11.001  0.68
2010 Davis DA, Chawla NV, Christakis NA, Barabási AL. Time to CARE: A collaborative engine for practical disease prediction Data Mining and Knowledge Discovery. 20: 388-415. DOI: 10.1007/S10618-009-0156-Z  0.488
2010 Lichtenwalter RN, Chawla NV. Adaptive methods for classification in arbitrarily imbalanced and drifting data streams Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5669: 53-75. DOI: 10.1007/978-3-642-14640-4_5  0.779
2010 Hoens TR, Chawla NV. Generating diverse ensembles to counter the problem of class imbalance Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6119: 488-499. DOI: 10.1007/978-3-642-13672-6_46  0.795
2010 Raeder T, Blanton M, Chawla NV, Frikken K. Privacy-preserving network aggregation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6118: 198-207. DOI: 10.1007/978-3-642-13657-3_23  0.75
2010 Lussier JT, Raeder T, Chawla NV. User generated content consumption and social networking in knowledge-sharing OSNs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6007: 228-237. DOI: 10.1007/978-3-642-12079-4_29  0.746
2009 Steinhaeuser K, Chawla NV, Ganguly AR. An exploration of climate data using complex networks Proceedings of the 3rd International Workshop On Knowledge Discovery From Sensor Data, Sensorkdd'09 in Conjunction With the 15th Acm Sigkdd Conference On Knowledge Discovery and Data Mining, Kdd-09. 23-31. DOI: 10.1145/1882471.1882476  0.73
2009 Raeder T, Chawla NV. Modeling a store's product space as a social network Proceedings of the 2009 International Conference On Advances in Social Network Analysis and Mining, Asonam 2009. 164-169. DOI: 10.1109/ASONAM.2009.53  0.734
2009 Cieslak DA, Chawla NV. A framework for monitoring classifiers' performance: When and why failure occurs? Knowledge and Information Systems. 18: 83-108. DOI: 10.1007/S10115-008-0139-1  0.774
2009 Theeramunkong T, Nattee C, Adeodato PJL, Chawla N, Christen P, Lenca P, Poon J, Williams G. New Frontiers in Applied Data Mining Lecture Notes in Computer Science. 5669. DOI: 10.1007/978-3-642-14640-4  0.373
2008 Davis DA, Chawla NV, Blumm N, Barabási AL, Christakis N. Predicting individual disease risk based on medical history International Conference On Information and Knowledge Management, Proceedings. 769-778. DOI: 10.1145/1458082.1458185  0.486
2008 Chawla NV, Thain D, Lichtenwalter R, Cieslak DA. Data mining on the grid for the grid Ipdps Miami 2008 - Proceedings of the 22nd Ieee International Parallel and Distributed Processing Symposium, Program and Cd-Rom. DOI: 10.1109/IPDPS.2008.4536427  0.773
2008 Moretti C, Steinhaeuser K, Thain D, Chawla NV. Scaling up classifers to Cloud Computers Proceedings - Ieee International Conference On Data Mining, Icdm. 472-481. DOI: 10.1109/ICDM.2008.99  0.708
2008 Cieslak DA, Chawla NV. Start globally, optimize locally, predict globally: Improving performance on imbalanced data Proceedings - Ieee International Conference On Data Mining, Icdm. 143-152. DOI: 10.1109/ICDM.2008.87  0.755
2008 Cieslak DA, Chawla NV, Thain DL. Troubleshooting thousands of jobs on production grids using data mining techniques Proceedings - Ieee/Acm International Workshop On Grid Computing. 217-224. DOI: 10.1109/GRID.2008.4662802  0.753
2008 Chawla NV, Cieslak DA, Hall LO, Joshi A. Automatically countering imbalance and its empirical relationship to cost Data Mining and Knowledge Discovery. 17: 225-252. DOI: 10.1007/S10618-008-0087-0  0.738
2008 Cieslak DA, Chawla NV. Learning decision trees for unbalanced data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5211: 241-256. DOI: 10.1007/978-3-540-87479-9_34  0.765
2008 Liao Q, Cieslak DA, Striegel AD, Chawla NV. Using selective, short-term memory to improve resilience against DDoS exhaustion attacks Security and Communication Networks. 1: 287-299. DOI: 10.1002/Sec.22  0.738
2007 Cieslak DA, Chawla NV. Detecting fractures in classifier performance Proceedings - Ieee International Conference On Data Mining, Icdm. 123-132. DOI: 10.1109/ICDM.2007.106  0.708
2005 Chawla N. Discovering Knowledge in Data: An Introduction to Data Mining Briefings in Bioinformatics. 6: 411-412. DOI: 10.1093/Bib/6.4.411  0.316
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