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2020 – today
- 2023
[j37]Enes Altinisik
, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla:
A3T: accuracy aware adversarial training. Mach. Learn. 112(9): 3191-3210 (2023)- [c110]Enes Altinisik, Hassan Sajjad, Husrev T. Sencar, Safa Messaoud, Sanjay Chawla:
Impact of Adversarial Training on Robustness and Generalizability of Language Models. ACL (Findings) 2023: 7828-7840 - [c109]Mayuresh Kunjir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran:
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference. KDD 2023: 1176-1187 - [i50]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Towards Mobility Data Science (Vision Paper). CoRR abs/2307.05717 (2023) - 2022
- [j36]Saravanan Thirumuruganathan, Mayuresh Kunjir, Mourad Ouzzani, Sanjay Chawla:
Automated Annotations for AI Data and Model Transparency. ACM J. Data Inf. Qual. 14(1): 2:1-2:9 (2022) - [j35]Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla:
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach. Knowl. Inf. Syst. 64(9): 2515-2541 (2022) - [c108]Nour Makke, Sanjay Chawla:
Neuro-Symbolic Regression with Applications. BDA (Astronomy, Science, and Engineering) 2022: 38-50 - [c107]Hua Wei, Guni Sheron, Cathy Wu, Sanjay Chawla, Zhenhui Li:
The Third Workshop on Data-driven Intelligent Transportation. CIKM 2022: 5177-5178 - [i49]Mayuresh Kunjir, Sanjay Chawla:
Offline Reinforcement Learning for Road Traffic Control. CoRR abs/2201.02381 (2022) - [i48]Sanjay Chawla, Preslav Nakov, Ahmed Ali, Wendy Hall, Issa Khalil, Xiaosong Ma, Husrev Taha Sencar, Ingmar Weber, Michael A. Wooldridge, Ting Yu:
Ten Years after ImageNet: A 360° Perspective on AI. CoRR abs/2210.01797 (2022) - [i47]Enes Altinisik, Hassan Sajjad, Husrev Taha Sencar, Safa Messaoud, Sanjay Chawla:
Impact of Adversarial Training on Robustness and Generalizability of Language Models. CoRR abs/2211.05523 (2022) - [i46]Nour Makke, Sanjay Chawla:
Interpretable Scientific Discovery with Symbolic Regression: A Review. CoRR abs/2211.10873 (2022) - [i45]Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla:
A3T: Accuracy Aware Adversarial Training. CoRR abs/2211.16316 (2022) - [i44]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science (Dagstuhl Seminar 22021). Dagstuhl Reports 12(1): 1-34 (2022) - 2021
- [j34]Raghvendra Mall, Abdurrahman Elbasir, Hossam Almeer, Zeyaul Islam, Prasanna R. Kolatkar, Sanjay Chawla, Ehsan Ullah:
A modeling framework for embedding-based predictions for compound-viral protein activity. Bioinform. 37(17): 2544-2555 (2021) - [j33]Ashraf Aboulnaga, Sanjay Chawla, Ahmed K. Elmagarmid, Mohammed Al-Mannai, Hassan Al-Sayed:
An AI-enabled future for Qatar and the region. Commun. ACM 64(4): 59-61 (2021) - [j32]Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Inferring and improving street maps with data-driven automation. Commun. ACM 64(11): 109-117 (2021) - [c106]Sanjay Chawla:
A Perspective on Prescriptive Learning ADBIS'2021 Keynote. ADBIS 2021: 3-6 - [c105]Nour Makke, Mohammad Amin Sadeghi, Sanjay Chawla:
Symbolic Regression for Interpretable Scientific Discovery. BDA (Astronomy, Science, and Engineering) 2021: 26-40 - [c104]Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Updating Street Maps using Changes Detected in Satellite Imagery. SIGSPATIAL/GIS 2021: 53-56 - [c103]Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden:
Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories. ICCV 2021: 11957-11965 - [c102]Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla:
How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User Engagement. ICWSM 2021: 491-502 - [i43]Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla:
Permutation-Invariant Subgraph Discovery. CoRR abs/2104.01063 (2021) - [i42]Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Updating Street Maps using Changes Detected in Satellite Imagery. CoRR abs/2110.06456 (2021) - 2020
- [j31]Imdad Ullah, Roksana Boreli, Salil S. Kanhere, Sanjay Chawla, Tariq Ahamed Ahanger, Usman Tariq:
Protecting Private Attributes in App Based Mobile User Profiling. IEEE Access 8: 143818-143836 (2020) - [j30]Shameem Ahamed Puthiya Parambath, Sanjay Chawla:
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations. Data Min. Knowl. Discov. 34(5): 1560-1588 (2020) - [j29]Sebastian Kruse, Zoi Kaoudi, Bertty Contreras-Rojas, Sanjay Chawla, Felix Naumann, Jorge-Arnulfo Quiané-Ruiz:
RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems. VLDB J. 29(6): 1287-1310 (2020) - [c101]Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi:
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. AAAI 2020: 10965-10972 - [c100]Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi:
Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding. ECCV (24) 2020: 51-67 - [c99]Hao Chen, Ke Yang, Stefano Giovanni Rizzo, Giovanna Vantini, Phillip Taylor, Xiaosong Ma, Sanjay Chawla:
QarSUMO: A Parallel, Congestion-optimized Traffic Simulator. SIGSPATIAL/GIS 2020: 578-588 - [c98]Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Bertty Contreras-Rojas, Rodrigo Pardo-Meza, Anis Troudi, Sanjay Chawla:
ML-based Cross-Platform Query Optimization. ICDE 2020: 1489-1500 - [c97]Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla:
Prescriptive Learning for Air-Cargo Revenue Management. ICDM 2020: 462-471 - [c96]Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla:
Robust Deep Learning Methods for Anomaly Detection. KDD 2020: 3507-3508 - [i41]Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi:
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding. CoRR abs/2007.09547 (2020) - [i40]Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey:
Unravelling the Architecture of Membrane Proteins with Conditional Random Fields. CoRR abs/2008.02467 (2020) - [i39]Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla:
Understanding Effects of Editing Tweets for News Sharing by Media Accounts through a Causal Inference Framework. CoRR abs/2009.08100 (2020) - [i38]Hao Chen, Ke Yang, Stefano Giovanni Rizzo, Giovanna Vantini, Phillip Taylor, Xiaosong Ma, Sanjay Chawla:
QarSUMO: A Parallel, Congestion-optimized Traffic Simulator. CoRR abs/2010.03289 (2020) - [i37]Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla:
Probabilistic Outlier Detection and Generation. CoRR abs/2012.12394 (2020)
2010 – 2019
- 2019
- [j28]Nguyen Lu Dang Khoa, Yang Wang, Sanjay Chawla:
Incremental commute time and its online applications. Pattern Recognit. 88: 101-112 (2019) - [c95]Sebastian Kruse, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla, Felix Naumann, Bertty Contreras-Rojas:
Optimizing Cross-Platform Data Movement. ICDE 2019: 1642-1645 - [c94]Stefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla:
Reinforcement Learning with Explainability for Traffic Signal Control. ITSC 2019: 3567-3572 - [c93]Stefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla:
Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios. KDD 2019: 1654-1664 - [i36]Raghavendra Chalapathy, Sanjay Chawla:
Deep Learning for Anomaly Detection: A Survey. CoRR abs/1901.03407 (2019) - [i35]Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla:
Risk Aware Ranking for Top-k Recommendations. CoRR abs/1904.05325 (2019) - [i34]Stefano Giovanni Rizzo, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla:
AI-CARGO: A Data-Driven Air-Cargo Revenue Management System. CoRR abs/1905.09130 (2019) - [i33]Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden:
Machine-Assisted Map Editing. CoRR abs/1906.07138 (2019) - [i32]Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Inferring and Improving Street Maps with Data-Driven Automation. CoRR abs/1910.04869 (2019) - [i31]Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi:
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. CoRR abs/1912.12408 (2019) - 2018
- [j27]Edward Toth, Sanjay Chawla:
Group Deviation Detection Methods: A Survey. ACM Comput. Surv. 51(4): 77:1-77:38 (2018) - [j26]Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani:
Optimizing non-decomposable measures with deep networks. Mach. Learn. 107(8-10): 1597-1620 (2018) - [j25]Divy Agrawal, Sanjay Chawla, Bertty Contreras-Rojas, Ahmed K. Elmagarmid, Yasser Idris, Zoi Kaoudi, Sebastian Kruse, Ji Lucas, Essam Mansour, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Saravanan Thirumuruganathan, Anis Troudi:
RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! -. Proc. VLDB Endow. 11(11): 1414-1427 (2018) - [j24]Edward Toth, Sanjay Chawla:
GTΔ: Detecting Temporal Changes in Group Stochastic Processes. ACM Trans. Knowl. Discov. Data 12(4): 39:1-39:24 (2018) - [j23]Zhizhou Yin, Fei Wang, Wei Liu, Sanjay Chawla:
Sparse Feature Attacks in Adversarial Learning. IEEE Trans. Knowl. Data Eng. 30(6): 1164-1177 (2018) - [c92]Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla:
SAGA: A Submodular Greedy Algorithm for Group Recommendation. AAAI 2018: 3900-3908 - [c91]Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, David J. DeWitt:
RoadTracer: Automatic Extraction of Road Networks From Aerial Images. CVPR 2018: 4720-4728 - [c90]Songtao He, Favyen Bastani, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden:
RoadRunner: improving the precision of road network inference from GPS trajectories. SIGSPATIAL/GIS 2018: 3-12 - [c89]Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden:
Machine-assisted map editing. SIGSPATIAL/GIS 2018: 23-32 - [c88]Ji Lucas, Yasser Idris, Bertty Contreras-Rojas, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla:
RheemStudio: Cross-Platform Data Analytics Made Easy. ICDE 2018: 1573-1576 - [c87]Mustafa Coskun, Abdelkader Baggag, Sanjay Chawla:
Deep Reinforcement Learning for Traffic Light Optimization. ICDM Workshops 2018: 564-571 - [c86]Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Gianmarco De Francisci Morales, Sanjay Chawla, Fethi Filali, Ahid Aleimat:
Road Network Fusion for Incremental Map Updates. LBS 2018: 91-109 - [c85]Raghavendra Chalapathy, Edward Toth, Sanjay Chawla:
Group Anomaly Detection Using Deep Generative Models. ECML/PKDD (1) 2018: 173-189 - [c84]Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat:
Robust Road Map Inference through Network Alignment of Trajectories. SDM 2018: 135-143 - [r4]Didi Surian, Sanjay Chawla:
Detection of Spatiotemporal Outlier Events in Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i30]Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani:
Optimizing Non-decomposable Measures with Deep Networks. CoRR abs/1802.00086 (2018) - [i29]Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Gianmarco De Francisci Morales, Sanjay Chawla, Fethi Filali, Ahid Aleimat:
Road Network Fusion for Incremental Map Updates. CoRR abs/1802.02351 (2018) - [i28]Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, David J. DeWitt, Sam Madden:
Unthule: An Incremental Graph Construction Process for Robust Road Map Extraction from Aerial Images. CoRR abs/1802.03680 (2018) - [i27]Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla:
Anomaly Detection using One-Class Neural Networks. CoRR abs/1802.06360 (2018) - [i26]Raghavendra Chalapathy, Edward Toth, Sanjay Chawla:
Group Anomaly Detection using Deep Generative Models. CoRR abs/1804.04876 (2018) - [i25]Sebastian Kruse, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla, Felix Naumann, Bertty Contreras:
RHEEMix in the Data Jungle - A Cross-Platform Query Optimizer -. CoRR abs/1805.03533 (2018) - [i24]Sanjay Chawla, Bertty Contreras-Rojas, Zoi Kaoudi, Sebastian Kruse, Jorge-Arnulfo Quiané-Ruiz:
Building your Cross-Platform Application with RHEEM. CoRR abs/1805.11723 (2018) - 2017
- [j22]Eric Malmi, Sanjay Chawla, Aristides Gionis:
Lagrangian relaxations for multiple network alignment. Data Min. Knowl. Discov. 31(5): 1331-1358 (2017) - [j21]Somwrita Sarkar, Sanjay Chawla, Shameem Ahmad, Jaideep Srivastava, Hossam M. Hammady, Fethi Filali, Wassim Znaidi, Javier Borge-Holthoefer:
Effective Urban Structure Inference from Traffic Flow Dynamics. IEEE Trans. Big Data 3(2): 181-193 (2017) - [j20]Didi Surian, Suranga Seneviratne, Aruna Seneviratne, Sanjay Chawla:
App Miscategorization Detection: A Case Study on Google Play. IEEE Trans. Knowl. Data Eng. 29(8): 1591-1604 (2017) - [j19]Sanjay Chawla, Joël Estephan, Joachim Gudmundsson, Michael Horton:
Classification of Passes in Football Matches Using Spatiotemporal Data. ACM Trans. Spatial Algorithms Syst. 3(2): 6:1-6:30 (2017) - [c83]Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla:
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment. DSAA 2017: 50-59 - [c82]Faisal Nawab, Divy Agrawal, Amr El Abbadi, Sanjay Chawla:
COP: Planning Conflicts for Faster Parallel Transactional Machine Learning. EDBT 2017: 132-143 - [c81]Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla:
Robust, Deep and Inductive Anomaly Detection. ECML/PKDD (1) 2017: 36-51 - [c80]Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal:
A Cost-based Optimizer for Gradient Descent Optimization. SIGMOD Conference 2017: 977-992 - [c79]Tahar Zanouda, Sofiane Abbar, Laure Berti-Équille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava:
On the Role of Political Affiliation in Human Perception The Case of Delhi OddEven Experiment. SocInfo (2) 2017: 74-88 - [c78]Yan Liu, Sanjay Chawla:
Social Media Anomaly Detection: Challenges and Solutions. WSDM 2017: 817-818 - [r3]Sanjay Chawla:
Patterns, Complex. Encyclopedia of GIS 2017: 1565-1568 - [i23]Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat:
Kharita: Robust Map Inference using Graph Spanners. CoRR abs/1702.06025 (2017) - [i22]Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal:
A Cost-based Optimizer for Gradient Descent Optimization. CoRR abs/1703.09193 (2017) - [i21]Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla:
Robust, Deep and Inductive Anomaly Detection. CoRR abs/1704.06743 (2017) - [i20]Wasuwee Sodsong, Bernhard Scholz, Sanjay Chawla:
SPARK: Static Program Analysis Reasoning and Retrieving Knowledge. CoRR abs/1711.01024 (2017) - [i19]Shameem Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla:
SAGA: A Submodular Greedy Algorithm For Group Recommendation. CoRR abs/1712.09123 (2017) - 2016
- [j18]Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang:
Backbone discovery in traffic networks. Int. J. Data Sci. Anal. 1(3-4): 215-227 (2016) - [j17]Mahtab Jahanbani Fard, Ping Wang, Sanjay Chawla, Chandan K. Reddy:
A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data. IEEE Trans. Knowl. Data Eng. 28(12): 3126-3139 (2016) - [c77]Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng:
Simple and Scalable Constrained Clustering: a Generalized Spectral Method. AISTATS 2016: 445-454 - [c76]Divy Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid, Zoi Kaoudi, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Mohammed J. Zaki:
Road to Freedom in Big Data Analytics. EDBT 2016: 479-484 - [c75]Muhammad Imran, Sanjay Chawla, Carlos Castillo:
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting. ICDM 2016: 961-966 - [c74]Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani:
Online Optimization Methods for the Quantification Problem. KDD 2016: 1625-1634 - [c73]Mahtab Jahanbani Fard, Sanjay Chawla, Chandan K. Reddy:
Early-Stage Event Prediction for Longitudinal Data. PAKDD (1) 2016: 139-151 - [c72]Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang:
Discovering the Network Backbone from Traffic Activity Data. PAKDD (1) 2016: 409-422 - [c71]Nguyen Lu Dang Khoa, Sanjay Chawla:
Incremental Commute Time Using Random Walks and Online Anomaly Detection. ECML/PKDD (1) 2016: 49-64 - [c70]Divy Agrawal, Mouhamadou Lamine Ba, Laure Berti-Équille, Sanjay Chawla, Ahmed K. Elmagarmid, Hossam Hammady, Yasser Idris, Zoi Kaoudi, Zuhair Khayyat, Sebastian Kruse, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Mohammed J. Zaki:
Rheem: Enabling Multi-Platform Task Execution. SIGMOD Conference 2016: 2069-2072 - [i18]Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng:
Scalable Constrained Clustering: A Generalized Spectral Method. CoRR abs/1601.04746 (2016) - [i17]Shuai Li, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani:
Stochastic Optimization Techniques for Quantification Performance Measures. CoRR abs/1605.04135 (2016) - [i16]Muhammad Imran, Sanjay Chawla, Carlos Castillo:
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting. CoRR abs/1610.01858 (2016) - [i15]Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla:
Nazr-CNN: Object Detection and Fine-Grained Classification in Crowdsourced UAV Images. CoRR abs/1611.06474 (2016) - 2015
- [j16]Nguyen Lu Dang Khoa, Sanjay Chawla:
A scalable approach to spectral clustering with SDD solvers. J. Intell. Inf. Syst. 44(2): 289-308 (2015) - [c69]Divyakant Agrawal, Sanjay Chawla:
The Big Data Landscape: Hurdles and Opportunities. DNIS 2015: 1-11 - [c68]Yan Liu, Sanjay Chawla:
Social Media Anomaly Detection: Challenges and Solutions. KDD 2015: 2317-2318 - [c67]Jaya Kawale, Hung Hai Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla:
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation. NIPS 2015: 1297-1305 - [c66]Michael Horton, Joachim Gudmundsson, Sanjay Chawla, Joël Estephan:
Automated Classification of Passing in Football. PAKDD (2) 2015: 319-330 - [c65]Aditya Krishna Menon, Didi Surian, Sanjay Chawla:
Cross-Modal Retrieval: A Pairwise Classification Approach. SDM 2015: 199-207 - [i14]Naman Goel, Divyakant Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid:
Parameter Database : Data-centric Synchronization for Scalable Machine Learning. CoRR abs/1508.00703 (2015) - [i13]Somwrita Sarkar, Sanjay Chawla, Peter A. Robinson, Santo Fortunato:
Eigenvector dynamics under perturbation of modular networks. CoRR abs/1510.07064 (2015) - 2014
- [c64]Fei Wang, Uma Srinivasan, Shahadat Uddin, Sanjay Chawla:
Application of network analysis on healthcare. ASONAM 2014: 596-603 - [c63]Tahereh Babaie, Sanjay Chawla, Sebastien Ardon, Yue Yu:
A unified approach to network anomaly detection. IEEE BigData 2014: 650-655 - [c62]Fei Wang, Wei Liu, Sanjay Chawla:
On Sparse Feature Attacks in Adversarial Learning. ICDM 2014: 1013-1018 - [c61]Tahereh Babaie, Sanjay Chawla, Romesh G. Abeysuriya:
Sleep analytics and online selective anomaly detection. KDD 2014: 362-371 - [c60]