• 2297 Citations
  • 26 h-Index
19982019

Research output per year

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2019

Deep reinforcement learning for traffic light optimization

Coskun, M., Baggag, A. & Chawla, S., 7 Feb 2019, Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. Yu, J., Li, Z., Tong, H. & Zhu, F. (eds.). IEEE Computer Society, p. 564-571 8 p. 8637414. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Group anomaly detection using deep generative models

Chalapathy, R., Toth, E. & Chawla, S., 1 Jan 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Bonchi, F., Gärtner, T., Hurley, N., Ifrim, G. & Berlingerio, M. (eds.). Springer Verlag, p. 173-189 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11051 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Optimizing cross-platform data movement

Kruse, S., Kaoudi, Z., Quiane-Ruiz, J. A., Chawla, S., Naumann, F. & Contreras-Rojas, B., Apr 2019, Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society, p. 1642-1645 4 p. 8731354. (Proceedings - International Conference on Data Engineering; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement Learning with Explainability for Traffic Signal Control

Rizzo, S. G., Vantini, G. & Chawla, S., Oct 2019, 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. Institute of Electrical and Electronics Engineers Inc., p. 3567-3572 6 p. 8917519. (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time critic policy gradient methods for traffic signal control in complex and congested scenarios

Rizzo, S. G., Vantini, G. & Chawla, S., 25 Jul 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1654-1664 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
2018

Machine-assisted map editing

Bastani, F., He, S., Abbar, S., Alizadeh, M., Balakrishnan, H., Chawla, S. & Madden, S., 6 Nov 2018, 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2018. Xiong, L., Tamassia, R., Banaei, K. F., Guting, R. H. & Hoel, E. (eds.). Association for Computing Machinery, p. 23-32 10 p. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Rheemstudio: Cross-platform data analytics made easy

Lucas, J., Idris, Y., Contreras-Rojas, B., Quiane-Ruiz, J. A. & Chawla, S., 24 Oct 2018, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc., p. 1553-1556 4 p. 8509400. (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

RoadRunner: Improving the precision of road network inference from GPS trajectories

He, S., Bastani, F., Abbar, S., Alizadeh, M., Balakrishnan, H., Chawla, S. & Madden, S., 6 Nov 2018, 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2018. Xiong, L., Tamassia, R., Banaei, K. F., Guting, R. H. & Hoel, E. (eds.). Association for Computing Machinery, p. 3-12 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

RoadTracer: Automatic Extraction of Road Networks from Aerial Images

Bastani, F., He, S., Abbar, S., Alizadeh, M., Balakrishnan, H., Chawla, S., Madden, S. & Dewitt, D., 14 Dec 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 4720-4728 9 p. 8578594. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

SAGA: A submodular greedy algorithm for group recommendation

Puthiya Parambath, S. A., Vijayakumar, N. & Chawla, S., 1 Jan 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 3900-3908 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
2017

A cost-based optimizer for gradient descent optimization

Kaoudi, Z., Quiané-Ruiz, J. A., Thirumuruganathan, S., Chawla, S. & Agrawal, D., 9 May 2017, SIGMOD 2017 - Proceedings of the 2017 ACM International Conference on Management of Data. Association for Computing Machinery, p. 977-992 16 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. Part F127746).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

A robust framework for classifying evolving document streams in an expert-machine-crowd setting

Imran, M., Chawla, S. & Castillo, C., 31 Jan 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Institute of Electrical and Electronics Engineers Inc., p. 961-966 6 p. 7837933

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

COP: Planning conflicts for faster parallel transactional machine learning

Nawab, F., Agrawal, D., El Abbadi, A. & Chawla, S., 1 Jan 2017, Advances in Database Technology - EDBT 2017: 20th International Conference on Extending Database Technology, Proceedings. Mitschang, B., Markl, V., Bress, S., Andritsos, P., Sattler, K-U. & Orlando, S. (eds.). OpenProceedings.org, p. 132-143 12 p. (Advances in Database Technology - EDBT; vol. 2017-March).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nazr-CNN: Fine-Grained classification of UAV imagery for damage assessment

Attari, N., Ofli, F., Awad, M., Lucas, J. & Chawla, S., 2 Jul 2017, Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017. Institute of Electrical and Electronics Engineers Inc., p. 50-59 10 p. (Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017; vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

On the role of political affiliation in human perception the case of Delhi OddEven experiment

Zanouda, T., Abbar, S., Berti-Equille, L., Shah, K., Baggag, A., Chawla, S. & Srivastava, J., 1 Jan 2017, Social Informatics - 9th International Conference, SocInfo 2017, Proceedings. Springer Verlag, p. 74-88 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10540 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robust, Deep and Inductive Anomaly Detection

Chalapathy, R., Menon, A. K. & Chawla, S., 1 Jan 2017, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Proceedings. Springer Verlag, p. 36-51 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10534 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Social media anomaly detection: Challenges and solutions

Liu, Y. & Chawla, S., 2 Feb 2017, WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 817-818 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
2016

Discovering the network backbone from traffic activity data

Chawla, S., Garimella, K., Gionis, A. & Tsang, D., 2016, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9651. p. 409-422 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9651).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Early-stage event prediction for longitudinal data

Fard, M. J., Chawla, S. & Reddy, C. K., 2016, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9651. p. 139-151 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9651).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Incremental commute time using random walks and online anomaly detection

Khoa, N. L. D. & Chawla, S., 2016, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Proceedings. Springer Verlag, Vol. 9851 LNAI. p. 49-64 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9851 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Online optimization methods for the quantification problem

Kar, P., Li, S., Narasimhan, H., Chawla, S. & Sebastiani, F., 13 Aug 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Vol. 13-17-August-2016. p. 1625-1634 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Rheem: Enabling multi-platform task execution

Agrawal, D., Ba, L., Berti-Equille, L., Chawla, S., Elmagarmid, A., Hammady, H., Idris, Y., Kaoudi, Z., Khayyat, Z., Kruse, S., Ouzzani, M., Papotti, P., Quiane Ruiz, J. A., Tang, N. & Zaki, M. J., 26 Jun 2016, SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. Association for Computing Machinery, Vol. 26-June-2016. p. 2069-2072 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Road to freedom in big data analytics

Agrawal, D., Chawla, S., Elmagarmid, A., Kaoudi, Z., Ouzzani, M., Papotti, P., Quiané-Ruiz, J. A., Tang, N. & Zaki, M. J., 1 Jan 2016, Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings. Manolescu, I., Pitoura, E., Marian, A., Maabout, S., Tanca, L., Koutrika, G. & Stefanidis, K. (eds.). OpenProceedings.org, p. 479-484 6 p. (Advances in Database Technology - EDBT; vol. 2016-March).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)
2015

A unified approach to network anomaly detection

Babaie, T., Chawla, S., Ardon, S. & Yu, Y., 7 Jan 2015, Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014. Institute of Electrical and Electronics Engineers Inc., p. 650-655 6 p. 7004288

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Automated classification of passing in football

Horton, M., Gudmundsson, J., Chawla, S. & Estephan, J., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9078. p. 319-330 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9078).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Cross-modal retrieval: A pairwise classification approach

Menon, A. K., Sudan, D. & Chawla, S., 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Society for Industrial and Applied Mathematics Publications, p. 199-207 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Efficient Thompson sampling for online matrix-factorization recommendation

Kawale, J., Bui, H., Kveton, B., Thanh, L. T. & Chawla, S., 2015, Advances in Neural Information Processing Systems. Neural information processing systems foundation, Vol. 2015-January. p. 1297-1305 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

48 Citations (Scopus)

Social media anomaly detection: Challenges and solutions

Liu, Y. & Chawla, S., 10 Aug 2015, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Vol. 2015-August. p. 2317-2318 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

The big data landscape: Hurdles and opportunities

Agrawal, D. & Chawla, S., 1 Jan 2015, Databases in Networked Information Systems - 10th International Workshop, DNIS 2015, Proceedings. Chu, W., Kikuchi, S. & Bhalla, S. (eds.). Springer Verlag, p. 1-11 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8999).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
2014

Application of network analysis on healthcare

Wang, F., Srinivasan, U., Uddin, S. & Chawla, S., 10 Oct 2014, ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Institute of Electrical and Electronics Engineers Inc., p. 596-603 8 p. 6921647

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

On integrated clustering and outlier detection

Ott, L., Pang, L., Ramos, F. & Chawla, S., 2014, Advances in Neural Information Processing Systems. January ed. Neural information processing systems foundation, Vol. 2. p. 1359-1367 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

On Sparse Feature Attacks in Adversarial Learning

Wang, F., Liu, W. & Chawla, S., 1 Jan 2014, Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. Institute of Electrical and Electronics Engineers Inc., p. 1013-1018 6 p. 7023439. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2015-January, no. January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

ProfileGuard: Privacy preserving obfuscation for mobile user profiles

Ullah, I., Boreli, R., Kanhere, S. S. & Chawla, S., 3 Nov 2014, Proceedings of the ACM Conference on Computer and Communications Security. Association for Computing Machinery, p. 83-92 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Sleep analytics and online selective anomaly detection

Babaie, T., Chawla, S. & Abeysuriya, R., 2014, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 362-371 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

The effect of outliers in the design of data gathering tours

Almiani, K., Chawla, S. & Viglas, A., 3 Oct 2014, Proceedings - International Symposium on Parallel Architectures, Algorithms and Programming, PAAP. IEEE Computer Society, p. 209-214 6 p. 6916466

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
2013

A causal approach for mining interesting anomalies

Babbar, S., Surian, D. & Chawla, S., 26 Sep 2013, Advances in Artificial Intelligence - 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Proceedings. p. 226-232 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7884 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

A scalable approach for LRT computation in GPGPU environments

Pang, L. X., Chawla, S., Scholz, B. & Wilcox, G., 10 Apr 2013, Web Technologies and Applications - 15th Asia-Pacific Web Conference, APWeb 2013, Proceedings. p. 595-608 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7808 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Ensemble-based wrapper methods for feature selection and class imbalance learning

Yang, P., Liu, W., Zhou, B. B., Chawla, S. & Zomaya, A. Y., 1 Dec 2013, Advances in Knowledge Discovery and Data Mining - 17th Pacific-Asia Conference, PAKDD 2013, Proceedings. PART 1 ed. p. 544-555 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7818 LNAI, no. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Citations (Scopus)

Latent outlier detection and the low precision problem

Wang, F., Chawla, S. & Surian, D., 24 Dec 2013, Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description, ODD 2013. p. 46-52 7 p. (Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description, ODD 2013).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Mining outlier participants: Insights using directional distributions in latent models

Surian, D. & Chawla, S., 31 Oct 2013, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 3 ed. p. 337-352 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8190 LNAI, no. PART 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Tikhonov or lasso regularization: Which is better and when

Wang, F., Chawla, S. & Liu, W., 1 Dec 2013, Proceedings - 25th International Conference on Tools with Artificial Intelligence, ICTAI 2013. p. 795-802 8 p. 6735333. (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

κ-means-: A unified approach to clustering and outlier detection

Chawla, S. & Gionist, A., 2013, SIAM International Conference on Data Mining 2013, SMD 2013. Society for Industrial and Applied Mathematics Publications, p. 189-197 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

78 Citations (Scopus)

κ-means-: A unified approach to clustering and outlier detection

Chawla, S. & Gionisy, A., 2013, Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013. Siam Society, p. 189-197 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2012

An efficient adversarial learning strategy for constructing robust classification boundaries

Liu, W., Chawla, S., Bailey, J., Leckie, C. & Ramamohanarao, K., 26 Dec 2012, AI 2012: Advances in Artificial Intelligence - 25th Australasian Joint Conference, Proceedings. p. 649-660 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7691 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Inferring the root cause in road traffic anomalies

Chawla, S., Zheng, Y. & Hu, J., 1 Dec 2012, Proceedings - 12th IEEE International Conference on Data Mining, ICDM 2012. p. 141-150 10 p. 6413908. (Proceedings - IEEE International Conference on Data Mining, ICDM).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

121 Citations (Scopus)

Large scale spectral clustering using resistance distance and spielman-teng solvers

Khoa, N. L. D. & Chawla, S., 5 Nov 2012, Discovery Science - 15th International Conference, DS 2012, Proceedings. p. 7-21 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7569 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Mining causal outliers using gaussian Bayesian networks

Babbar, S. & Chawla, S., 1 Dec 2012, Proceedings - 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, ICTAI 2012. p. 97-104 8 p. 6495034. (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
2011

A quadratic mean based supervised learning model for managing data skewness

Liu, W. & Chawla, S., 1 Dec 2011, Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011. p. 188-198 11 p. (Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

A robust index for regular expression queries

Tsang, D. & Chawla, S., 13 Dec 2011, CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. p. 2365-2368 4 p. (International Conference on Information and Knowledge Management, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Class confidence weighted kNN algorithms for imbalanced data sets

Liu, W. & Chawla, S., 8 Jun 2011, Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Proceedings. PART 2 ed. p. 345-356 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6635 LNAI, no. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

87 Citations (Scopus)