• 2176 Citations
  • 26 h-Index
19982019
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Research Output 1998 2019

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

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

Traffic signals
traffic control
Reinforcement learning
reinforcement
learning

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
2018
2 Citations (Scopus)

Group deviation detection methods: A survey

Toth, E. & Chawla, S., 1 Jul 2018, In : ACM Computing Surveys. 51, 4, 3203246.

Research output: Contribution to journalReview article

Deviation
High energy physics
Change Detection
Anomaly Detection
Health care

GTΔ: Detecting temporal changes in group stochastic processes

Toth, E. & Chawla, S., 1 Jul 2018, In : ACM Transactions on Knowledge Discovery from Data. 12, 4, a39.

Research output: Contribution to journalArticle

Random processes
Monitoring
2 Citations (Scopus)

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.

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

road
Coverage
imagery
Antennas
Road Network
3 Citations (Scopus)

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

Attari, N., Ofli, F., Awad, M., Lucas, J. & Chawla, S., 16 Jan 2018, Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 50-59 10 p.

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

Damage Assessment
Unmanned aerial vehicles (UAV)
Damage
Neural Networks
Neural networks
3 Citations (Scopus)

Optimizing non-decomposable measures with deep networks

Sanyal, A., Kumar, P., Kar, P., Chawla, S. & Sebastiani, F., 2 Jul 2018, (Accepted/In press) In : Machine Learning. p. 1-24 24 p.

Research output: Contribution to journalArticle

Labels
Recurrent neural networks
Multilayer neural networks
Entropy
Neural networks

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

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

Drag
Learning systems
Specifications
Monitoring
4 Citations (Scopus)

Road network fusion for incremental map updates

Stanojevic, R., Abbar, S., Thirumuruganathan, S., Morales, G., Chawla, S., Filali, F. & Aleimat, A., 1 Jan 2018, In : Lecture Notes in Geoinformation and Cartography. 208669, p. 91-109 19 p.

Research output: Contribution to journalConference article

road network
Fusion reactions
road
coverage
Electric fuses
4 Citations (Scopus)

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

Road Network
Global positioning system
GPS
trajectory
Trajectories
14 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

Antennas
Neural networks
Pixels
Personnel
Processing
5 Citations (Scopus)

Robust road map inference through network alignment of trajectories

Stanojevic, R., Abbar, S., Thirumuruganathan, S., Chawla, S., Filali, F. & Aleimat, A., 1 Jan 2018, p. 135-143. 9 p.

Research output: Contribution to conferencePaper

Trajectories
Global positioning system
3 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

Economics
7 Citations (Scopus)

Sparse Feature Attacks in Adversarial Learning

Yin, Z., Wang, F., Liu, W. & Chawla, S., 6 Jan 2018, (Accepted/In press) In : IEEE Transactions on Knowledge and Data Engineering.

Research output: Contribution to journalArticle

Learning systems
Intrusion detection
Classifiers
Costs
2017
13 Citations (Scopus)

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, Vol. Part F127746. p. 977-992 16 p.

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

Learning systems
Costs
Mathematical operators
Specifications
Experiments
2 Citations (Scopus)

App Miscategorization Detection: A Case Study on Google Play

Surian, D., Seneviratne, S., Seneviratne, A. & Chawla, S., 1 Aug 2017, In : IEEE Transactions on Knowledge and Data Engineering. 29, 8, p. 1591-1604 14 p., 7885558.

Research output: Contribution to journalArticle

Application programs
Response time (computer systems)
Ecosystems
Experiments
2 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

Experiments
12 Citations (Scopus)

Classification of passes in football matches using spatiotemporal data

Chawla, S., Estephan, J., Gudmundsson, J. & Horton, M., 1 Jul 2017, In : ACM Transactions on Spatial Algorithms and Systems. 3, 2, 6.

Research output: Contribution to journalArticle

Spatio-temporal Data
Computational geometry
Observer
Predictors
Computational Geometry

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. OpenProceedings.org, Vol. 2017-March. p. 132-143 12 p.

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

Learning systems
Planning
Learning algorithms
Support vector machines
Scalability
2 Citations (Scopus)

Lagrangian relaxations for multiple network alignment

Malmi, E., Chawla, S. & Gionis, A., 1 Sep 2017, In : Data Mining and Knowledge Discovery. 31, 5, p. 1331-1358 28 p.

Research output: Contribution to journalArticle

Tuning
Experiments

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

Human Perception
Experiment
Experiments
India
Curbs
7 Citations (Scopus)

RHEEM: Enabling cross platform data processing

Agrawal, D., Chawla, S., Contreras-Rojas, B., Elmagarmid, A., Idris, Y., Kaoudi, Z., Kruse, S., Lucas, J., Mansour, E., Ouzzani, M., Papotti, P., Quiane´-Ruiz, J. A., Tang, N., Thirumuruganathan, S. & Troudi, A., 1 Jan 2017, In : Proceedings of the VLDB Endowment. 11, 11, p. 1414-1427 14 p.

Research output: Contribution to journalConference article

Costs
Industry
Mechanics
9 Citations (Scopus)

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

Anomaly Detection
Subspace
Test Set
Gross
Leverage
3 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

Information dissemination
Planning
2016
12 Citations (Scopus)

A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data

Fard, M., Wang, P., Chawla, S. & Reddy, C., 2016, In : IEEE Transactions on Knowledge and Data Engineering. PP, 99, 7564399.

Research output: Contribution to journalArticle

Data handling
Bayesian networks
Labels
Availability
Experiments
1 Citation (Scopus)

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

Backbone
Traffic
Electric network analysis
Set theory
Decision making
5 Citations (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

Longitudinal Data
Longitudinal Study
Prediction
Naive Bayes
Trees (mathematics)
3 Citations (Scopus)

Eigenvector dynamics under perturbation of modular networks

Sarkar, S., Chawla, S., Robinson, P. A. & Fortunato, S., 20 Jun 2016, In : Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 93, 6, 062312.

Research output: Contribution to journalArticle

Detectability
Eigenvector
eigenvectors
Eigenspace
Adjacency Matrix
1 Citation (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

Anomaly Detection
Commute
Random walk
Graph in graph theory
Decomposition
19 Citations (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

Epidemiology
Social sciences
Supervised learning
Experiments
14 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

Data fusion
Learning systems
Cleaning
Gases
Oils
16 Citations (Scopus)

Road to freedom in big data analytics

Agrawal, D., Chawla, S., Elmagarmid, A., Kaoudi, Z., Ouzzani, M., Papotti, P., Quiane 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. OpenProceedings.org, Vol. 2016-March. p. 479-484 6 p.

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

Interoperability
Cleaning
Big data

SDM 16 PC Chairs' Welcome

Chawla, S. & Meira, W., 2016, In : Unknown Journal. p. xi

Research output: Contribution to journalEditorial

2015
6 Citations (Scopus)

A scalable approach to spectral clustering with SDD solvers

Khoa, N. L. D. & Chawla, S., 2015, In : Journal of Intelligent Information Systems. 44, 2, p. 289-308 20 p.

Research output: Contribution to journalArticle

Decomposition
Subroutines
Linear systems
Costs
Experiments
2 Citations (Scopus)

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

Dynamical systems
Hidden Markov models
Throughput
Experiments
Big data
9 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

Computational geometry
Predictors
Computational Geometry
Game
Subjective Evaluation
4 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

43 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

Factorization
Collaborative filtering
Sampling
Recommender systems
Experiments
18 Citations (Scopus)

On Sparse Feature Attacks in Adversarial Learning

Wang, F., Liu, W. & Chawla, S., 26 Jan 2015, Proceedings - IEEE International Conference on Data Mining, ICDM. January ed. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-January. p. 1013-1018 6 p. 7023439

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

Classifiers
Learning systems
Electronic mail
Intrusion detection
Costs
6 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

Information dissemination
Planning
1 Citation (Scopus)

The big data landscape: Hurdles and opportunities

Agrawal, D. & Chawla, S., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 8999. 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

Learning systems
Brain
Machine Learning
Railroad cars
Paradigm
2014
9 Citations (Scopus)

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

Electric network analysis
Health care
Topology
Health insurance
Costs
17 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

Scalability
3 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

Application programs
Marketing
Industry
1 Citation (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

Electroencephalography
Control theory
Data mining
Time series
Sleep