• 2100 Citations
  • 25 h-Index
19982019
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Fingerprint Dive into the research topics where Sanjay Chawla is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Data mining Engineering & Materials Science
Association rules Engineering & Materials Science
Experiments Engineering & Materials Science
Classifiers Engineering & Materials Science
Learning systems Engineering & Materials Science
Mining Mathematics
Costs Engineering & Materials Science
Outlier Detection Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1998 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

Reinforcement learning
Telecommunication traffic
Travel time
Simulators
1 Citation (Scopus)

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

Generative Models
High energy physics
Anomaly Detection
Medical imaging
Pixels

Incremental commute time and its online applications

Khoa, N. L. D., Wang, Y. & Chawla, S., 1 Apr 2019, In : Pattern Recognition. 88, p. 101-112 12 p.

Research output: Contribution to journalArticle

Collaborative filtering
Intrusion detection
Decomposition

Optimizing cross-platform data movement

Kruse, S., Kaoudi, Z., Quiane Ruiz, J. A., Chawla, S., Naumann, F. & Contreras-Rojas, B., 1 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

Costs

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
Traffic signals
Gradient methods
Telecommunication traffic
Reinforcement learning
Throughput