• 2176 Citations
  • 26 h-Index
19982019
If you made any changes in Pure these will be visible here soon.

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

Adversarial attack, defense, and applications with deep learning frameworks

Yin, Z., Liu, W. & Chawla, S., 1 Jan 2019, Advanced Sciences and Technologies for Security Applications. Springer, p. 1-25 25 p. (Advanced Sciences and Technologies for Security Applications).

Research output: Chapter in Book/Report/Conference proceedingChapter

Learning
learning
Computer Security
Deep learning
Image classification

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