Publications

Found 180 results
[ Author(Asc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
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Zong, B., C. Gkantsidis, and M. Vojnovic, "Herding "small" streaming queries", Proceedings of the 9th {ACM} International Conference on Distributed Event-Based Systems, {DEBS} '15, Oslo, Norway, June 29 - July 3, 2015, 2015.
Zong, B., Y. Wu, A. K. Singh, and X. Yan, "Inferring the Underlying Structure of Information Cascades", 12th {IEEE} International Conference on Data Mining, {ICDM} 2012, Brussels, Belgium, December 10-13, 2012, pp. 1218–1223, 2012.
Zong, B., X. Xiao, Z. Li, Z. Wu, Z. Qian, X. Yan, A. K. Singh, and G. Jiang, "Behavior Query Discovery in System-Generated Temporal Graphs", {PVLDB}, vol. 9, pp. 240–251, 2015.
Zong, B., Y. Wu, J. Song, A. K. Singh, H. \ cCam, J. Han, and X. Yan, "Towards scalable critical alert mining", The 20th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} '14, New York, NY, {USA} - August 24 - 27, 2014, pp. 1057–1066, 2014.
Zong, B., R. Raghavendra, M. Srivatsa, X. Yan, A. K. Singh, and K-W. Lee, "Cloud service placement via subgraph matching", {IEEE} 30th International Conference on Data Engineering, Chicago, {ICDE} 2014, IL, USA, March 31 - April 4, 2014, pp. 832–843, 2014.
Zong, B., Y. Wu, A. K. Singh, and X. Yan, "Inferring the Underlying Structure of Information Cascades", CoRR, vol. abs/1210.3587, 2012.
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You, H., F. Kocayusufoglu, and A. Singh, "DANR: Discrepancy-aware Network Regularization", SIAM International Conference on Data Mining (SDM), 2020.
Ye, W., Z. Huang, Y. Hong, and A. K. Singh, "Graph Neural Diffusion Networks for Semi-supervised Learning", CoRR, vol. abs/2201.09698, 2022.
Ye, W., F. Bullo, N. E. Friedkin, and A. K. Singh, "Modeling Human-AI Team Decision Making", CoRR, vol. abs/2201.02759, 2022.
Ye, W., D. Mautz, C. Böhm, A. K. Singh, and C. Plant, "Incorporating User's Preference into Attributed Graph Clustering", IEEE Trans. Knowl. Data Eng., vol. 33, pp. 3716–3728, 2021.
Ye, W., O. Askarisichani, A. T. Jones, and A. K. Singh, "Learning Deep Graph Representations via Convolutional Neural Networks", IEEE Trans. Knowl. Data Eng., vol. 34, pp. 2268–2279, 2022.
Ye, W., Z. Wang, R. Redberg, and A. K. Singh, "Tree++: Truncated Tree Based Graph Kernels", IEEE Trans. Knowl. Data Eng., vol. 33, pp. 1778–1789, 2021.
Ye, W., J. Yang, S. Medya, and A. K. Singh, "Incorporating Heterophily into Graph Neural Networks for Graph Classification", CoRR, vol. abs/2203.07678, 2022.
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Wu, J., Z. Guan, Q. Zhang, A. K. Singh, and X. Yan, "Static and Dynamic Structural Correlations in Graphs", {IEEE} Trans. Knowl. Data Eng., vol. 25, no. 9, pp. 2147–2160, 2013.
Wang, D., A. Antoniades, K-D. Luong, E. Zhang, M. Kosan, J. Li, A. Singh, W. Yang Wang, and L. Li, "Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning", Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York, NY, USA, Association for Computing Machinery, 2024.
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Vitenberg, R., K. Kvilekval, and A. K. Singh, "Increasing Concurrency in Databases Using Program Analysis", {ECOOP} 2004 - Object-Oriented Programming, 18th European Conference, Oslo, Norway, June 14-18, 2004, Proceedings, pp. 341–363, 2004.
Vitenberg, R., D. Zinenko, K. Kvilekval, and A. K. Singh, "Analyzing Performance of Lease-Based Schemes under Failures", 30th {IEEE} Symposium on Reliable Distributed Systems {(SRDS} 2011), Madrid, Spain, October 4-7, 2011, pp. 193–202, 2011.
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Stück, D., H. T. Hallgrímsson, G. Ver Steeg, A. Epasto, and L. Foschini, "The Spread of Physical Activity Through Social Networks", Proceedings of the 26th International Conference on World Wide Web: ACM, 2017.
Singh, V., S. Venkatesha, and A. K. Singh, "Geo-clustering of Images with Missing GeoTags", 2010 {IEEE} International Conference on Granular Computing, GrC 2010, San Jose, California, USA, 14-16 August 2010, pp. 420–425, 2010.
Singh, A. K., "Scalable Index Structures for Biological Data", Data Mining in Bioinformatics, pp. 275–296, 2005.
Singh, A. K., A. Bhattacharya, and V. Ljosa, "Current Challenges in Bioimage Database Design", Fourth International {IEEE} Computer Society Computational Systems Bioinformatics Conference Workshops {&} Poster Abstracts, {CSB} 2005 Workshops, Stanford, CA, USA, August 8-11, 2005, pp. 375–379, 2005.
Singh, V., A. Bhattacharya, and A. K. Singh, "Querying spatial patterns", {EDBT} 2010, 13th International Conference on Extending Database Technology, Lausanne, Switzerland, March 22-26, 2010, Proceedings, pp. 418–429, 2010.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023: ACM, 2023.
Singh, A. K., B. S. Manjunath, and R. F. Murphy, "A Distributed Database for BioMolecular Images", {SIGMOD} Record, vol. 33, no. 2, pp. 65–71, 2004.
Singh, A. K., "Querying and Mining Biological Databases", {OMICS}, vol. 7, no. 1, pp. 7–8, 2003.
Singh, V., A. Bhattacharya, and A. K. Singh, "Finding Significant Subregions in Large Image Databases", CoRR, vol. abs/0906.3585, 2009.
Singh, V., B. Zong, and A. K. Singh, "Nearest Keyword Set Search in Multi-Dimensional Datasets", {IEEE} Trans. Knowl. Data Eng., vol. 28, pp. 741–755, 2016.
Singh, V., and A. K. Singh, "SIMP: accurate and efficient near neighbor search in high dimensional spaces", 15th International Conference on Extending Database Technology, {EDBT} '12, Berlin, Germany, March 27-30, 2012, Proceedings, pp. 492–503, 2012.
Singh, V., A. Bhattacharya, and A. K. Singh, "Efficient Computation of Statistical Significance of Query Results in Databases", Scientific and Statistical Database Management, 20th International Conference, {SSDBM} 2008, Hong Kong, China, July 9-11, 2008, Proceedings, pp. 509–516, 2008.
Singh, V., and A. K. Singh, "Nearest Keyword Set Search in Multi-dimensional Datasets", CoRR, vol. abs/1409.3867, 2014.
Singh, A. K., "Modeling Complex Diseases Using Discriminative Network Fragments - (Invited Keynote Talk)", Bioinformatics Research and Applications - 8th International Symposium, {ISBRA} 2012, Dallas, TX, USA, May 21-23, 2012. Proceedings, pp. 249, 2012.
Singh, V., and A. K. Singh, "Profile Based Sub-Image Search in Image Databases", CoRR, vol. abs/1010.1496, 2010.
Silva, A., X. Hong Dang, P. Basu, A. Singh, and A. Swami, "Graph Wavelets via Sparse Cuts", Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016.
Silva, A., F. Kocayusufoglu, S. Jafarpour, F. Bullo, A. Swami, and A. K. Singh, "Combining Physics and Machine Learning for Network Flow Estimation", 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021: OpenReview.net, 2021.
Silva, A., P. Bogdanov, and A. K. Singh, "Hierarchical in-network attribute compression via importance sampling", 31st {IEEE} International Conference on Data Engineering, {ICDE} 2015, Seoul, South Korea, April 13-17, 2015, pp. 951–962, 2015.
Silva, A., and A. Singh, "Group Testing on a Network", AAAI Conference on Artificial Intelligence, 2021.
Silva, A., A. Singh, and A. Swami, " Spectral Algorithms for Temporal Graph Cuts", The Web Conference (WWW), 2018.
Sharma, S., Y. Xian, N. Yu, and A. Singh, "Learning Prototype Classifiers for Long-Tailed Recognition", Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China: ijcai.org, 2023.
Shahriari, M., O. Askarisich Sichani, J. Gharibshah, and M. Jalili, "Sign prediction in social networks based on users reputation and optimism", Social Network Analysis and Mining, vol. 6, pp. 91, 2016.
Seccamonte, F., A. K. Singh, and F. Bullo, "Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks", IEEE Conference on Control Technology and Applications, CCTA 2023, Bridgetown, Barbados, August 16-18, 2023: IEEE, 2023.
Schibler, T., A. K. Singh, and S. Suri, "On Multi-Dimensional Team Formation", Proceedings of the 31st Canadian Conference on Computational Geometry, CCCG 2019, August 8-10, 2019, University of Alberta, Edmonton, Alberta, Canada, 2019.
Sarkar, A., V. Singh, P. Ghosh, B. S. Manjunath, and A. K. Singh, "Efficient and Robust Detection of Duplicate Videos in a Large Database", {IEEE} Trans. Circuits Syst. Video Techn., vol. 20, no. 6, pp. 870–885, 2010.
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Ruttenberg, B. E., G. Luna, G. P. Lewis, S. K. Fisher, and A. K. Singh, "Quantifying spatial relationships from whole retinal images", Bioinformatics, vol. 29, no. 7, pp. 940–946, 2013.
Ruttenberg, B. E., and A. K. Singh, "Indexing the Earth Mover's Distance Using Normal Distributions", CoRR, vol. abs/1111.7168, 2011.
Ruttenberg, B. E., and A. K. Singh, "Indexing the Earth Mover's Distance Using Normal Distributions", {PVLDB}, vol. 5, no. 3, pp. 205–216, 2011.
Ribeiro, B., M. X. Hoang, and A. K. Singh, "Beyond Models: Forecasting Complex Network Processes Directly from Data", Proceedings of the 24th International Conference on World Wide Web, {WWW} 2015, Florence, Italy, May 18-22, 2015, pp. 885–895, 2015.
Ranu, S., M. X. Hoang, and A. K. Singh, "Applications of Top-k Representative Queries", Proceedings of the Sixth Workshop on Semantic Web Information Management, {SWIM} 2014, Snowbird, UT, USA, June 22-27, 2014, pp. 40:1–40:2, 2014.
Ranu, S., and A. K. Singh, "Mining Statistically Significant Molecular Substructures for Efficient Molecular Classification", Journal of Chemical Information and Modeling, vol. 49, no. 11, pp. 2537–2550, 2009.
Ranu, S., and A. K. Singh, "Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions", {PVLDB}, vol. 5, no. 3, pp. 169–180, 2011.
Ranu, S., and A. K. Singh, "Indexing and mining topological patterns for drug discovery", 15th International Conference on Extending Database Technology, {EDBT} '12, Berlin, Germany, March 27-30, 2012, Proceedings, pp. 562–565, 2012.
Ranu, S., and A. K. Singh, "Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space", Journal of Chemical Information and Modeling, vol. 51, no. 5, pp. 1106–1121, 2011.
Ranu, S., and A. K. Singh, "Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions", CoRR, vol. abs/1111.7165, 2011.
Ranu, S., and A. K. Singh, "GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases", Proceedings of the 25th International Conference on Data Engineering, {ICDE} 2009, March 29 2009 - April 2 2009, Shanghai, China, pp. 844–855, 2009.
Ranu, S., M. X. Hoang, and A. K. Singh, "Answering top-k representative queries on graph databases", International Conference on Management of Data, {SIGMOD} 2014, Snowbird, UT, USA, June 22-27, 2014, pp. 1163–1174, 2014.
Ranu, S., M. X. Hoang, and A. K. Singh, "Mining discriminative subgraphs from global-state networks", The 19th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} 2013, Chicago, IL, USA, August 11-14, 2013, pp. 509–517, 2013.
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Prabhakar, S., D. Agrawal, A. El Abbadi, A. K. Singh, and T. R. Smith, "Browsing and placement of multi-resolution images on parallel disks", Multimedia Syst., vol. 8, no. 6, pp. 459–469, 2003.
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Nguyen, D-A., T. Abdelzaher, S. Borbash, X-H. Dang, R. Ganti, A. Singh, and M. Srivatsa, "On Critical Event Observability Using Social Networks: A Disaster Monitoring Perspective", Military Communications Conference (MILCOM), 2014 IEEE: IEEE, 2014.
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Mongiov\`ı, M., P. Bogdanov, and A. K. Singh, "Mining Evolving Network Processes", 2013 {IEEE} 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, pp. 537–546, 2013.
Mongiov\`ı, M., P. Bogdanov, R. Ranca, A. K. Singh, E. E. Papalexakis, and C. Faloutsos, "SigSpot: mining significant anomalous regions from time-evolving networks (abstract only)", Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data, {SIGMOD} 2012, Scottsdale, AZ, USA, May 20-24, 2012, pp. 865, 2012.
Mongiov\`ı, M., A. K. Singh, X. Yan, B. Zong, and K. Psounis, "Efficient multicasting for delay tolerant networks using graph indexing", Proceedings of the {IEEE} {INFOCOM} 2012, Orlando, FL, USA, March 25-30, 2012, pp. 1386–1394, 2012.
Meka, A., and A. K. Singh, "Distributed Spatial Clustering in Sensor Networks", Advances in Database Technology - {EDBT} 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006, Proceedings, pp. 980–1000, 2006.
Meka, A., and A. K. Singh, "DIST: a distributed spatio-temporal index structure for sensor networks", Proceedings of the 2005 {ACM} {CIKM} International Conference on Information and Knowledge Management, Bremen, Germany, October 31 - November 5, 2005, pp. 139–146, 2005.
Medya, S., A. Silva, and A. Singh, "Approximate Algorithms for Data-driven Influence Limitation", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
Medya, S., P. Bogdanov, and A. Singh, "Making a Small World Smaller: Path Optimization in Networks", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
Medya, S., T. Ma, A. Silva, and A. K. Singh, "A Game Theoretic Approach For Core Resilience", IJCAI, 2020.
Medya, S., A. Silva, A. Singh, P. Basu, and A. Swami, "Group centrality maximization via network design", SIAM International Conference on Data Mining (SDM), 2018.
Medya, S., T. Ma, A. Silva, and A. Singh, "A Game Theoretic Approach For k-Core Minimization ", AAMAS, 2020.
Medya, S., A. Silva, and A. K. Singh, "Approximate Algorithms for Data-Driven Influence Limitation", IEEE Trans. Knowl. Data Eng., vol. 34, pp. 2641–2652, 2022.
Medya, S., P. Bogdanov, and A. K. Singh, "Towards Scalable Network Delay Minimization", {IEEE} 16th International Conference on Data Mining, {ICDM} 2016, December 12-15, 2016, Barcelona, Spain, 2016.
Medya, S., J. Vachery, S. Ranu, and A. Singh, "Noticeable Network Delay Minimization via Node Upgrades", International Conference on Very Large Data Bases (VLDB), 2018.
Medya, S., L. Cherkasova, and A. K. Singh, "Predictive Modeling and Scalability Analysis for Large Graph Analytics", IFIP/IEEE International Symposium on Integrated Network Management, {IM} 2017, 8-12 May, Lisbon, Portugal, 2017.
Manchanda, S., A. Mittal, A. Dhawan, S. Medya, S. Ranu, and A. Singh, "GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs", Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.
Macropol, K., T. Can, and A. K. Singh, "RRW: repeated random walks on genome-scale protein networks for local cluster discovery", {BMC} Bioinformatics, vol. 10, pp. 283, 2009.
Macropol, K., and A. K. Singh, "Reachability Analysis and Modeling of Dynamic Event Networks", Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part {I}, pp. 442–457, 2012.
Macropol, K., and A. K. Singh, "Content-based Modeling and Prediction of Information Dissemination", International Conference on Advances in Social Networks Analysis and Mining, {ASONAM} 2011, Kaohsiung, Taiwan, 25-27 July 2011, pp. 21–28, 2011.
Macropol, K., P. Bogdanov, A. K. Singh, L. R. Petzold, and X. Yan, "I act, therefore I judge: network sentiment dynamics based on user activity change", Advances in Social Networks Analysis and Mining 2013, {ASONAM} '13, Niagara, ON, Canada - August 25 - 29, 2013, pp. 396–402, 2013.
Macropol, K., and A. K. Singh, "Scalable Discovery of Best Clusters on Large Graphs", {PVLDB}, vol. 3, no. 1, pp. 693–702, 2010.
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Luong, K-D., and A. Singh, "Fragment-based Pretraining and Finetuning on Molecular Graphs", Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
Luong, K-D., and A. Singh, "Application of Transformers in Cheminformatics", Journal of Chemical Information and Modeling, vol. 64, pp. 4392-4409, 05/2024.
Ljosa, V., and A. K. Singh, "Probabilistic Segmentation and Analysis of Horizontal Cells", Proceedings of the 6th {IEEE} International Conference on Data Mining {(ICDM} 2006), 18-22 December 2006, Hong Kong, China, pp. 980–985, 2006.
Ljosa, V., A. Bhattacharya, and A. K. Singh, "Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds", Advances in Database Technology - {EDBT} 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006, Proceedings, pp. 865–883, 2006.
Ljosa, V., and A. K. Singh, "APLA: Indexing Arbitrary Probability Distributions", Proceedings of the 23rd International Conference on Data Engineering, {ICDE} 2007, The Marmara Hotel, Istanbul, Turkey, April 15-20, 2007, pp. 946–955, 2007.
Ljosa, V., A. Bhattacharya, and A. K. Singh, "LB-Index: A Multi-Resolution Index Structure for Images", Proceedings of the 22nd International Conference on Data Engineering, {ICDE} 2006, 3-8 April 2006, Atlanta, GA, {USA}, pp. 144, 2006.
Ljosa, V., and A. K. Singh, "Top-k Spatial Joins of Probabilistic Objects", Proceedings of the 24th International Conference on Data Engineering, {ICDE} 2008, April 7-12, 2008, Cancún, México, pp. 566–575, 2008.
Liu, X., S. Duan, Y. Jin, E. Walker, M. Tsao, J. H. Jang, Z. Chen, A. K. Singh, K. Lazar Cantrell, H. I. Ingolfsson, et al., "Computationally Designed Molecules Modulate ALS-Related Amyloidogenic TDP-43307–319 Aggregation", ACS Chemical Neuroscience, vol. 14, pp. 4395–4408, 2023.
Lin, S., S. Tang, S. T. Grafton, and A. K. Singh, "Deep Representations for Time-varying Brain Datasets", KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022: ACM, 2022.
Lin, S., T. Sprague, and A. K. Singh, "Mind Reader: Reconstructing complex images from brain activities", Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022.
Lencevicius, R., U. Hölzle, and A. K. Singh, "Dynamic Query-Based Debugging of Object-Oriented Programs", Autom. Softw. Eng., vol. 10, no. 1, pp. 39–74, 2003.
Larusso, N. D., and A. K. Singh, "Sensing for Mobile Objects", Managing and Mining Sensor Data, pp. 299–348, 2013.
Larusso, N. D., and A. K. Singh, "Efficient tracking and querying for coordinated uncertain mobile objects", 29th {IEEE} International Conference on Data Engineering, {ICDE} 2013, Brisbane, Australia, April 8-12, 2013, pp. 182–193, 2013.
Larusso, N. D., and A. K. Singh, "Synopses for probabilistic data over large domains", {EDBT} 2011, 14th International Conference on Extending Database Technology, Uppsala, Sweden, March 21-24, 2011, Proceedings, pp. 389–400, 2011.
Larusso, N. D., B. E. Ruttenberg, and A. K. Singh, "A Latent Parameter Node-Centric Model for Spatial Networks", CoRR, vol. abs/1210.4246, 2012.
Laos, V., D. Bishop, C. A. Lang, N. M. Marsh, K. Lazar Cantrell, S. K. Buratto, A. K. Singh, and M. T. Bowers, "Modulating ALS-Related Amyloidogenic TDP-43307–319 Oligomeric Aggregates with Computationally Derived Therapeutic Molecules", Biochemistry, vol. 59, pp. 499–508, 2019.
Lang, C. A., and A. K. Singh, "Faster Similarity Search for Multimedia Data Via Query Transformations", Int. J. Image Graphics, vol. 3, no. 1, pp. 3–30, 2003.
Lang, C. A., S. S. Ray, M. Liu, A. K. Singh, and G. D. Cuny, "Discovery of LRRK2 inhibitors using sequential in silico joint pharmacophore space (JPS) and ensemble docking", Bioorganic & medicinal chemistry letters, vol. 25, pp. 2713–2719, 2015.
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Kvilekval, K., D. Fedorov, B. Obara, A. K. Singh, and B. S. Manjunath, "Bisque: a platform for bioimage analysis and management", Bioinformatics, vol. 26, no. 4, pp. 544–552, 2010.
Kvilekval, K., D. Fedorov, U. Gaur, S. Goff, N. Merchant, B. S. Manjunath, and A. K. Singh, "Bisque: Advances in Bioimage Databases", {IEEE} Data Eng. Bull., vol. 35, no. 3, pp. 56–64, 2012.
Kvilekval, K., and A. K. Singh, "SPREE: Object Prefetching for Mobile Computers", On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE, {OTM} Confederated International Conferences, Agia Napa, Cyprus, October 25-29, 2004, Proceedings, Part {II}, pp. 1340–1357, 2004.
Kosan, M., L. He, S. Agrawal, H. Liu, and C. Chetia, "AI Decision Systems with Feedback Loop Active Learner", WSDM Crowd Science Workshop, 2023.
Kosan, M., A. Silva, S. Medya, B. Uzzi, and A. Singh, "Graph Macro Dynamics with Self-Attention for Event Detection", Deep Learning on Graphs: Methods and Applications (DLG-AAAI), 02/2023.

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