Sanjay Chawla

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 109

Top Venues

Publications

Dishanika Denipitiyage, B. Silva, K. Gunathilaka, Suranga Seneviratne, Anirban Mahanti, Aruna Seneviratne, Sanjay Chawla
Detecting and Characterising Mobile App Metamorphosis in Google Play Store. CoRR (2024)
Ghanim Al-Sulaiti, Mohammad Amin Sadeghi, Lokendra Chauhan, Ji Lucas, Sanjay Chawla, Ahmed K. Elmagarmid
A pragmatic perspective on AI transparency at workplace. AI Ethics 4 (2) (2024)
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training. CoRR (2024)
Masoomali Fatehkia, Ji Kim Lucas, Sanjay Chawla
T-RAG: Lessons from the LLM Trenches. CoRR (2024)
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-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Cyrus Shahabi, 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
Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. 10 (2) (2024)
Nour Makke, Sanjay Chawla
Symbolic Regression: A Pathway to Interpretability Towards Automated Scientific Discovery. KDD (2024)
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. ICLR (2024)
Nour Makke, Sanjay Chawla
Interpretable scientific discovery with symbolic regression: a review. Artif. Intell. Rev. 57 (1) (2024)
Naveen Karunanayake, Ravin Gunawardena, Suranga Seneviratne, Sanjay Chawla
Out-of-Distribution Data: An Acquaintance of Adversarial Examples - A Survey. CoRR (2024)
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. CoRR (2024)
Naveen Karunanayake, Suranga Seneviratne, Sanjay Chawla
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection. CoRR (2023)
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)
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla
A3T: accuracy aware adversarial training. Mach. Learn. 112 (9) (2023)
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)
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 (2023)
Saravanan Thirumuruganathan, Mayuresh Kunjir, Mourad Ouzzani, Sanjay Chawla
Automated Annotations for AI Data and Model Transparency. ACM J. Data Inf. Qual. 14 (1) (2022)
Nour Makke, Sanjay Chawla
Neuro-Symbolic Regression with Applications. BDA (Astronomy, Science, and Engineering) (2022)
Hua Wei, Guni Sheron, Cathy Wu, Sanjay Chawla, Zhenhui Li
The Third Workshop on Data-driven Intelligent Transportation. CIKM (2022)
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 (2022)
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) (2022)
Mayuresh Kunjir, Sanjay Chawla
Offline Reinforcement Learning for Road Traffic Control. CoRR (2022)
Enes Altinisik, Hassan Sajjad, Husrev Taha Sencar, Safa Messaoud, Sanjay Chawla
Impact of Adversarial Training on Robustness and Generalizability of Language Models. CoRR (2022)
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla
A3T: Accuracy Aware Adversarial Training. CoRR (2022)
Nour Makke, Sanjay Chawla
Interpretable Scientific Discovery with Symbolic Regression: A Review. CoRR (2022)
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) (2022)
Sanjay Chawla
A Perspective on Prescriptive Learning ADBIS'2021 Keynote. ADBIS (2021)
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) (2021)
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) (2021)
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)
Nour Makke, Mohammad Amin Sadeghi, Sanjay Chawla
Symbolic Regression for Interpretable Scientific Discovery. BDA (Astronomy, Science, and Engineering) (2021)
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)
Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla
Permutation-Invariant Subgraph Discovery. CoRR (2021)
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)
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) (2021)
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 (2021)
Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey
Unravelling the Architecture of Membrane Proteins with Conditional Random Fields. CoRR (2020)
Hao Chen, Ke Yang, Stefano Giovanni Rizzo, Giovanna Vantini, Phillip Taylor, Xiaosong Ma, Sanjay Chawla
QarSUMO: A Parallel, Congestion-optimized Traffic Simulator. CoRR (2020)
Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Bertty Contreras-Rojas, Rodrigo Pardo-Meza, Anis Troudi, Sanjay Chawla
ML-based Cross-Platform Query Optimization. ICDE (2020)
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) (2020)
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)
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 (2020)
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) (2020)
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)
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 (2020)
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)
Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla
Robust Deep Learning Methods for Anomaly Detection. KDD (2020)
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)
Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla
Probabilistic Outlier Detection and Generation. CoRR (2020)
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 (2020)
Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden
Machine-Assisted Map Editing. CoRR (2019)
Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla
Risk Aware Ranking for Top-k Recommendations. CoRR (2019)
Stefano Giovanni Rizzo, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla
AI-CARGO: A Data-Driven Air-Cargo Revenue Management System. CoRR (2019)
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 (2019)
Stefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla
Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios. KDD (2019)
Sebastian Kruse, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla, Felix Naumann, Bertty Contreras-Rojas
Optimizing Cross-Platform Data Movement. ICDE (2019)
Stefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla
Reinforcement Learning with Explainability for Traffic Signal Control. ITSC (2019)
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 (2019)
Raghavendra Chalapathy, Sanjay Chawla
Deep Learning for Anomaly Detection: A Survey. CoRR (2019)
Nguyen Lu Dang Khoa, Yang Wang, Sanjay Chawla
Incremental commute time and its online applications. Pattern Recognit. 88 (2019)
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) (2018)
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)
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)
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)
Raghavendra Chalapathy, Edward Toth, Sanjay Chawla
Group Anomaly Detection using Deep Generative Models. CoRR (2018)
Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
Optimizing non-decomposable measures with deep networks. Mach. Learn. 107 (8-10) (2018)
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
Anomaly Detection using One-Class Neural Networks. CoRR (2018)
Mustafa Coskun, Abdelkader Baggag, Sanjay Chawla
Deep Reinforcement Learning for Traffic Light Optimization. ICDM Workshops (2018)
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 (2018)
Raghavendra Chalapathy, Edward Toth, Sanjay Chawla
Group Anomaly Detection Using Deep Generative Models. ECML/PKDD (1) (2018)
Edward Toth, Sanjay Chawla
Group Deviation Detection Methods: A Survey. ACM Comput. Surv. 51 (4) (2018)
Edward Toth, Sanjay Chawla
GTΔ: Detecting Temporal Changes in Group Stochastic Processes. ACM Trans. Knowl. Discov. Data 12 (4) (2018)
Zhizhou Yin, Fei Wang, Wei Liu, Sanjay Chawla
Sparse Feature Attacks in Adversarial Learning. IEEE Trans. Knowl. Data Eng. 30 (6) (2018)
Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden
Machine-assisted map editing. SIGSPATIAL/GIS (2018)
Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat
Robust Road Map Inference through Network Alignment of Trajectories. SDM (2018)
Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
Optimizing Non-decomposable Measures with Deep Networks. CoRR (2018)
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 (2018)
Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Gianmarco De Francisci Morales, Sanjay Chawla, Fethi Filali, Ahid Aleimat
Road Network Fusion for Incremental Map Updates. CoRR (2018)
Sanjay Chawla, Bertty Contreras-Rojas, Zoi Kaoudi, Sebastian Kruse, Jorge-Arnulfo Quiané-Ruiz
Building your Cross-Platform Application with RHEEM. CoRR (2018)
Ji Lucas, Yasser Idris, Bertty Contreras-Rojas, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla
RheemStudio: Cross-Platform Data Analytics Made Easy. ICDE (2018)
Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla
SAGA: A Submodular Greedy Algorithm for Group Recommendation. AAAI (2018)
Eric Malmi, Sanjay Chawla, Aristides Gionis
Lagrangian relaxations for multiple network alignment. Data Min. Knowl. Discov. 31 (5) (2017)
Yan Liu, Sanjay Chawla
Social Media Anomaly Detection: Challenges and Solutions. WSDM (2017)
Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal
A Cost-based Optimizer for Gradient Descent Optimization. SIGMOD Conference (2017)
Faisal Nawab, Divy Agrawal, Amr El Abbadi, Sanjay Chawla
COP: Planning Conflicts for Faster Parallel Transactional Machine Learning. EDBT (2017)
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
Robust, Deep and Inductive Anomaly Detection. ECML/PKDD (1) (2017)
Wasuwee Sodsong, Bernhard Scholz, Sanjay Chawla
SPARK: Static Program Analysis Reasoning and Retrieving Knowledge. CoRR (2017)
Sanjay Chawla, Joël Estephan, Joachim Gudmundsson, Michael Horton
Classification of Passes in Football Matches Using Spatiotemporal Data. ACM Trans. Spatial Algorithms Syst. 3 (2) (2017)
Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat
Kharita: Robust Map Inference using Graph Spanners. CoRR (2017)
Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal
A Cost-based Optimizer for Gradient Descent Optimization. CoRR (2017)
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
Robust, Deep and Inductive Anomaly Detection. CoRR (2017)
Didi Surian, Suranga Seneviratne, Aruna Seneviratne, Sanjay Chawla
App Miscategorization Detection: A Case Study on Google Play. IEEE Trans. Knowl. Data Eng. 29 (8) (2017)
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)
Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment. DSAA (2017)
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) (2017)
Shameem Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla
SAGA: A Submodular Greedy Algorithm For Group Recommendation. CoRR (2017)
Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang
Backbone discovery in traffic networks. Int. J. Data Sci. Anal. 1 (3-4) (2016)
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)
Shuai Li, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
Stochastic Optimization Techniques for Quantification Performance Measures. CoRR (2016)
Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla
Nazr-CNN: Object Detection and Fine-Grained Classification in Crowdsourced UAV Images. CoRR (2016)
Mahtab Jahanbani Fard, Sanjay Chawla, Chandan K. Reddy
Early-Stage Event Prediction for Longitudinal Data. PAKDD (1) (2016)

Sanjay Chawla.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Sanjay Chawla