Sanjay Chawla

238 papers A* 30A 16B 13C 4Misc 6Journal 111Unranked 50
YearRankTypeTitle / Venue / Authors
2026 A* conf
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models.
AAAI
Tianyi Zhou, Johanne Medina, Sanjay Chawla
2026 J jnl
Fanar 2.0: Arabic Generative AI Stack.
CoRR
Fanar Team, Ummar Abbas, Mohammad Shahmeer Ahmad, Minhaj Ahmad, Abdulaziz Al-Homaid, Anas Al-Nuaimi, Enes Altinisik, Ehsaneddin Asgari, Sanjay Chawla, Shammur Absar Chowdhury, Fahim Dalvi, Kareem Darwish, Nadir Durrani, Mohamed G. Elfeky, Ahmed K. Elmagarmid, Mohamed Y. Eltabakh, Asim Ersoy, Masoomali Fatehkia, Mohammed Qusay Hashim, Majd Hawasly, Mohamed Hefeeda, Mus'ab Husaini, Keivin Isufaj, Soon-Gyo Jung, Houssam Lachemat, Ji Kim Lucas, Abubakr Mohamed, Tasnim Mohiuddin, Basel Mousi, Hamdy Mubarak, Ahmad Musleh, Mourad Ouzzani, Amin Sadeghi, Husrev Taha Sencar, Mohammed Shinoy, Omar Sinan, Yifan Zhang
2025 J jnl
A Perspective on Symbolic Machine Learning in Physical Sciences.
CoRR
Nour Makke, Sanjay Chawla
2025 A conf
CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection.
WACV
Naveen Karunanayake, Suranga Seneviratne, Sanjay Chawla
2025 J jnl
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models.
CoRR
Tianyi Zhou, Johanne Medina, Sanjay Chawla
2025 A* conf
DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data.
USENIX Security Symposium
Dorde Popovic, Amin Sadeghi, Ting Yu, Sanjay Chawla, Issa Khalil
2025 J jnl
DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data.
CoRR
Dorde Popovic, Amin Sadeghi, Ting Yu, Sanjay Chawla, Issa Khalil
2025 B conf
Detecting Content Rating Violations in Android Applications: A Vision-Language Approach.
TrustCom
Dishanika Denipitiyage, Bhanuka Silva, Suranga Seneviratne, Aruna Seneviratne, Sanjay Chawla
2025 J jnl
Detecting Content Rating Violations in Android Applications: A Vision-Language Approach.
CoRR
Dishanika Denipitiyage, Bhanuka Silva, Suranga Seneviratne, Aruna Seneviratne, Sanjay Chawla
2025 J jnl
Detecting and Characterising Mobile App Metamorphosis in Google Play Store.
IEEE Trans. Mob. Comput.
Dishanika Denipitiyage, Bhanuka Silva, Kavishka Gunathilaka, Suranga Seneviratne, Anirban Mahanti, Aruna Seneviratne, Sanjay Chawla
2025 J jnl
ExCeL: Combined Extreme and Collective Logit Information for Out-of-Distribution Detection.
Trans. Mach. Learn. Res.
Naveen Karunanayake, Suranga Seneviratne, Sanjay Chawla
2025 A* conf
Explaining the role of Intrinsic Dimensionality in Adversarial Training.
ICML
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla
2025 J jnl
Fanar: An Arabic-Centric Multimodal Generative AI Platform.
CoRR
Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, Enes Altinisik, Ehsaneddin Asgari, Yazan Boshmaf, Sabri Boughorbel, Sanjay Chawla, Shammur A. Chowdhury, Fahim Dalvi, Kareem Darwish, Nadir Durrani, Mohamed Elfeky, Ahmed K. Elmagarmid, Mohamed Y. Eltabakh, Masoomali Fatehkia, Anastasios Fragkopoulos, Maram Hasanain, Majd Hawasly, Mus'ab Husaini, Soon-Gyo Jung, Ji Kim Lucas, Walid Magdy, Safa Messaoud, Abubakr Mohamed, Tasnim Mohiuddin, Basel Mousi, Hamdy Mubarak, Ahmad Musleh, Zan Naeem, Mourad Ouzzani, Dorde Popovic, Amin Sadeghi, Husrev Taha Sencar, Mohammed Shinoy, Omar Sinan, Yifan Zhang, Ahmed Ali, Yassine El Kheir, Xiaosong Ma, Chaoyi Ruan
2025 J jnl
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression.
CoRR
Nour Makke, Sanjay Chawla
2025 J jnl
Inferring interpretable models of fragmentation functions using symbolic regression.
Mach. Learn. Sci. Technol.
Nour Makke, Sanjay Chawla
2025 J jnl
Normalized Cut with Reinforcement Learning in Constrained Action Space.
CoRR
Qize Jiang, Linsey Pang, Alice Gatti, Mahima Aggarwal, Giovanna Vantini, Xiaosong Ma, Weiwei Sun, Sanjay Chawla
2025 J jnl
Out-of-Distribution Data: An Acquaintance of Adversarial Examples - A Survey.
ACM Comput. Surv.
Naveen Karunanayake, Ravin Gunawardena, Suranga Seneviratne, Sanjay Chawla
2025 J jnl
Quantifying and Exploiting Adversarial Vulnerability: Gradient-Based Input Pre-Filtering for Enhanced Performance in Black-Box Attacks.
ACM Trans. Priv. Secur.
Naveen Karunanayake, Bhanuka Silva, Yasod Ginige, Suranga Seneviratne, Sanjay Chawla
2025 J jnl
RankOOD - Class Ranking-based Out-of-Distribution Detection.
CoRR
Dishanika Denipitiyage, Naveen Karunanayake, Suranga Seneviratne, Sanjay Chawla
2025 J jnl
aiXamine: Simplified LLM Safety and Security.
CoRR
Fatih Deniz, Dorde Popovic, Yazan Boshmaf, Euisuh Jeong, Minhaj Ahmad, Sanjay Chawla, Issa Khalil
2024 J jnl
A pragmatic perspective on AI transparency at workplace.
AI Ethics
Ghanim Al-Sulaiti, Mohammad Amin Sadeghi, Lokendra Chauhan, Ji Lucas, Sanjay Chawla, Ahmed K. Elmagarmid
2024 J jnl
Detecting and Characterising Mobile App Metamorphosis in Google Play Store.
CoRR
Dishanika Denipitiyage, Bhanuka Silva, Kavishka Gunathilaka, Suranga Seneviratne, Anirban Mahanti, Aruna Seneviratne, Sanjay Chawla
2024 J jnl
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training.
CoRR
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla
2024 J jnl
Interpretable scientific discovery with symbolic regression: a review.
Artif. Intell. Rev.
Nour Makke, Sanjay Chawla
2024 — conf
Leveraging Large Language Models for Supply Chain Management Optimization: A Case Study.
IN4PL (2)
Sumaya Abdul Rahman, Sanjay Chawla, Mohammed Yaqot, Brenno C. Menezes
2024 J jnl
Mobility Data Science: Perspectives and Challenges.
ACM Trans. Spatial Algorithms Syst.
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
2024 J jnl
Out-of-Distribution Data: An Acquaintance of Adversarial Examples - A Survey.
CoRR
Naveen Karunanayake, Ravin Gunawardena, Suranga Seneviratne, Sanjay Chawla
2024 J jnl
S
CoRR
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
2024 A* conf
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic.
ICLR
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
2024 A* conf
Symbolic Regression: A Pathway to Interpretability Towards Automated Scientific Discovery.
KDD
Nour Makke, Sanjay Chawla
2024 J jnl
T-RAG: Lessons from the LLM Trenches.
CoRR
Masoomali Fatehkia, Ji Kim Lucas, Sanjay Chawla
2023 J jnl
A3T: accuracy aware adversarial training.
Mach. Learn.
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla
2023 J jnl
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection.
CoRR
Naveen Karunanayake, Suranga Seneviratne, Sanjay Chawla
2023 — conf
Impact of Adversarial Training on Robustness and Generalizability of Language Models.
ACL (Findings)
Enes Altinisik, Hassan Sajjad, Husrev T. Sencar, Safa Messaoud, Sanjay Chawla
2023 A* conf
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference.
KDD
Mayuresh Kunjir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran
2023 J jnl
Towards Mobility Data Science (Vision Paper).
CoRR
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, 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
2022 J jnl
A3T: Accuracy Aware Adversarial Training.
CoRR
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla
2022 J jnl
Automated Annotations for AI Data and Model Transparency.
ACM J. Data Inf. Qual.
Saravanan Thirumuruganathan, Mayuresh Kunjir, Mourad Ouzzani, Sanjay Chawla
2022 J jnl
Impact of Adversarial Training on Robustness and Generalizability of Language Models.
CoRR
Enes Altinisik, Hassan Sajjad, Husrev Taha Sencar, Safa Messaoud, Sanjay Chawla
2022 J jnl
Interpretable Scientific Discovery with Symbolic Regression: A Review.
CoRR
Nour Makke, Sanjay Chawla
2022 J jnl
Mobility Data Science (Dagstuhl Seminar 22021).
Dagstuhl Reports
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, 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
2022 — conf
Neuro-Symbolic Regression with Applications.
BDA (Astronomy, Science, and Engineering)
Nour Makke, Sanjay Chawla
2022 J jnl
Offline Reinforcement Learning for Road Traffic Control.
CoRR
Mayuresh Kunjir, Sanjay Chawla
2022 J jnl
Ten Years after ImageNet: A 360° Perspective on AI.
CoRR
Sanjay Chawla, Preslav Nakov, Ahmed Ali, Wendy Hall, Issa Khalil, Xiaosong Ma, Husrev Taha Sencar, Ingmar Weber, Michael A. Wooldridge, Ting Yu
2022 A conf
The Third Workshop on Data-driven Intelligent Transportation.
CIKM
Hua Wei, Guni Sharon, Cathy Wu, Sanjay Chawla, Zhenhui Li
2022 J jnl
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach.
Knowl. Inf. Syst.
Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla
2021 C conf
A Perspective on Prescriptive Learning ADBIS'2021 Keynote.
ADBIS
Sanjay Chawla
2021 J jnl
A modeling framework for embedding-based predictions for compound-viral protein activity.
Bioinform.
Raghvendra Mall, Abdurrahman Elbasir, Hossam Almeer, Zeyaul Islam, Prasanna R. Kolatkar, Sanjay Chawla, Ehsan Ullah
2021 J jnl
An AI-enabled future for Qatar and the region.
Commun. ACM
Ashraf Aboulnaga, Sanjay Chawla, Ahmed K. Elmagarmid, Mohammed Al-Mannai, Hassan Al-Sayed
2021 A conf
How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User Engagement.
ICWSM
Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla
2021 J jnl
Inferring and improving street maps with data-driven automation.
Commun. ACM
Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
2021 A* conf
Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories.
ICCV
Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden
2021 J jnl
Permutation-Invariant Subgraph Discovery.
CoRR
Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla
2021 — conf
Symbolic Regression for Interpretable Scientific Discovery.
BDA (Astronomy, Science, and Engineering)
Nour Makke, Mohammad Amin Sadeghi, Sanjay Chawla
2021 — conf
Updating Street Maps using Changes Detected in Satellite Imagery.
SIGSPATIAL/GIS
Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
2021 J jnl
Updating Street Maps using Changes Detected in Satellite Imagery.
CoRR
Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
2020 A* conf
ML-based Cross-Platform Query Optimization.
ICDE
Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Bertty Contreras-Rojas, Rodrigo Pardo-Meza, Anis Troudi, Sanjay Chawla
2020 A* conf
Prescriptive Learning for Air-Cargo Revenue Management.
ICDM
Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla
2020 J jnl
Probabilistic Outlier Detection and Generation.
CoRR
Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla
2020 J jnl
Protecting Private Attributes in App Based Mobile User Profiling.
IEEE Access
Imdad Ullah, Roksana Boreli, Salil S. Kanhere, Sanjay Chawla, Tariq Ahamed Ahanger, Usman Tariq
2020 — conf
QarSUMO: A Parallel, Congestion-optimized Traffic Simulator.
SIGSPATIAL/GIS
Hao Chen, Ke Yang, Stefano Giovanni Rizzo, Giovanna Vantini, Phillip Taylor, Xiaosong Ma, Sanjay Chawla
2020 J jnl
QarSUMO: A Parallel, Congestion-optimized Traffic Simulator.
CoRR
Hao Chen, Ke Yang, Stefano Giovanni Rizzo, Giovanna Vantini, Phillip Taylor, Xiaosong Ma, Sanjay Chawla
2020 J jnl
RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems.
VLDB J.
Sebastian Kruse, Zoi Kaoudi, Bertty Contreras-Rojas, Sanjay Chawla, Felix Naumann, Jorge-Arnulfo Quiané-Ruiz
2020 A* conf
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks.
AAAI
Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi
2020 A* conf
Robust Deep Learning Methods for Anomaly Detection.
KDD
Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla
2020 — conf
Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding.
ECCV (24)
Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi
2020 J jnl
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding.
CoRR
Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi
2020 J jnl
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations.
Data Min. Knowl. Discov.
Shameem Ahamed Puthiya Parambath, Sanjay Chawla
2020 J jnl
Understanding Effects of Editing Tweets for News Sharing by Media Accounts through a Causal Inference Framework.
CoRR
Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla
2020 J jnl
Unravelling the Architecture of Membrane Proteins with Conditional Random Fields.
CoRR
Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey
2019 J jnl
AI-CARGO: A Data-Driven Air-Cargo Revenue Management System.
CoRR
Stefano Giovanni Rizzo, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla
2019 J jnl
Deep Learning for Anomaly Detection: A Survey.
CoRR
Raghavendra Chalapathy, Sanjay Chawla
2019 J jnl
Incremental commute time and its online applications.
Pattern Recognit.
Nguyen Lu Dang Khoa, Yang Wang, Sanjay Chawla
2019 J jnl
Inferring and Improving Street Maps with Data-Driven Automation.
CoRR
Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
2019 J jnl
Machine-Assisted Map Editing.
CoRR
Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden
2019 A* conf
Optimizing Cross-Platform Data Movement.
ICDE
Sebastian Kruse, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla, Felix Naumann, Bertty Contreras-Rojas
2019 — conf
Reinforcement Learning with Explainability for Traffic Signal Control.
ITSC
Stefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla
2019 J jnl
Risk Aware Ranking for Top-k Recommendations.
CoRR
Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla
2019 J jnl
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks.
CoRR
Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi
2019 A* conf
Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios.
KDD
Stefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla
2018 J jnl
Anomaly Detection using One-Class Neural Networks.
CoRR
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
2018 J jnl
Building your Cross-Platform Application with RHEEM.
CoRR
Sanjay Chawla, Bertty Contreras-Rojas, Zoi Kaoudi, Sebastian Kruse, Jorge-Arnulfo Quiané-Ruiz
2018 — conf
Deep Reinforcement Learning for Traffic Light Optimization.
ICDM Workshops
Mustafa Coskun, Abdelkader Baggag, Sanjay Chawla
2018 — ch.
Detection of Spatiotemporal Outlier Events in Social Networks.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Didi Surian, Sanjay Chawla
2018 J jnl
GTΔ: Detecting Temporal Changes in Group Stochastic Processes.
ACM Trans. Knowl. Discov. Data
Edward Toth, Sanjay Chawla
2018 — conf
Group Anomaly Detection Using Deep Generative Models.
ECML/PKDD (1)
Raghavendra Chalapathy, Edward Toth, Sanjay Chawla
2018 J jnl
Group Anomaly Detection using Deep Generative Models.
CoRR
Raghavendra Chalapathy, Edward Toth, Sanjay Chawla
2018 J jnl
Group Deviation Detection Methods: A Survey.
ACM Comput. Surv.
Edward Toth, Sanjay Chawla
2018 — conf
Machine-assisted map editing.
SIGSPATIAL/GIS
Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden
2018 J jnl
Optimizing Non-decomposable Measures with Deep Networks.
CoRR
Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
2018 J jnl
Optimizing non-decomposable measures with deep networks.
Mach. Learn.
Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
2018 J jnl
RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! -.
Proc. VLDB Endow.
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
2018 J jnl
RHEEMix in the Data Jungle - A Cross-Platform Query Optimizer -.
CoRR
Sebastian Kruse, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla, Felix Naumann, Bertty Contreras
2018 A* conf
RheemStudio: Cross-Platform Data Analytics Made Easy.
ICDE
Ji Lucas, Yasser Idris, Bertty Contreras-Rojas, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla
2018 — conf
Road Network Fusion for Incremental Map Updates.
LBS
Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Gianmarco De Francisci Morales, Sanjay Chawla, Fethi Filali, Ahid Aleimat
2018 J jnl
Road Network Fusion for Incremental Map Updates.
CoRR
Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Gianmarco De Francisci Morales, Sanjay Chawla, Fethi Filali, Ahid Aleimat
2018 — conf
RoadRunner: improving the precision of road network inference from GPS trajectories.
SIGSPATIAL/GIS
Songtao He, Favyen Bastani, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden
2018 A* conf
RoadTracer: Automatic Extraction of Road Networks From Aerial Images.
CVPR
Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, David J. DeWitt
2018 A conf
Robust Road Map Inference through Network Alignment of Trajectories.
SDM
Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat
2018 A* conf
SAGA: A Submodular Greedy Algorithm for Group Recommendation.
AAAI
Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla
2018 J jnl
Sparse Feature Attacks in Adversarial Learning.
IEEE Trans. Knowl. Data Eng.
Zhizhou Yin, Fei Wang, Wei Liu, Sanjay Chawla
2018 J jnl
Unthule: An Incremental Graph Construction Process for Robust Road Map Extraction from Aerial Images.
CoRR
Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, David J. DeWitt, Sam Madden
2017 — conf
A Cost-based Optimizer for Gradient Descent Optimization.
SIGMOD Conference
Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal
2017 J jnl
A Cost-based Optimizer for Gradient Descent Optimization.
CoRR
Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal
2017 J jnl
App Miscategorization Detection: A Case Study on Google Play.
IEEE Trans. Knowl. Data Eng.
Didi Surian, Suranga Seneviratne, Aruna Seneviratne, Sanjay Chawla
2017 B conf
COP: Planning Conflicts for Faster Parallel Transactional Machine Learning.
EDBT
Faisal Nawab, Divy Agrawal, Amr El Abbadi, Sanjay Chawla
2017 J jnl
Classification of Passes in Football Matches Using Spatiotemporal Data.
ACM Trans. Spatial Algorithms Syst.
Sanjay Chawla, Joël Estephan, Joachim Gudmundsson, Michael Horton
2017 J jnl
Effective Urban Structure Inference from Traffic Flow Dynamics.
IEEE Trans. Big Data
Somwrita Sarkar, Sanjay Chawla, Shameem Ahmad, Jaideep Srivastava, Hossam M. Hammady, Fethi Filali, Wassim Znaidi, Javier Borge-Holthoefer
2017 J jnl
Kharita: Robust Map Inference using Graph Spanners.
CoRR
Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat
2017 J jnl
Lagrangian relaxations for multiple network alignment.
Data Min. Knowl. Discov.
Eric Malmi, Sanjay Chawla, Aristides Gionis
2017 B conf
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment.
DSAA
Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla
2017 — conf
On the Role of Political Affiliation in Human Perception The Case of Delhi OddEven Experiment.
SocInfo (2)
Tahar Zanouda, Sofiane Abbar, Laure Berti-Équille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava
2017 — ch.
Patterns, Complex.
Encyclopedia of GIS
Sanjay Chawla
2017 — conf
Robust, Deep and Inductive Anomaly Detection.
ECML/PKDD (1)
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
2017 J jnl
Robust, Deep and Inductive Anomaly Detection.
CoRR
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
2017 J jnl
SAGA: A Submodular Greedy Algorithm For Group Recommendation.
CoRR
Shameem Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla
2017 J jnl
SPARK: Static Program Analysis Reasoning and Retrieving Knowledge.
CoRR
Wasuwee Sodsong, Bernhard Scholz, Sanjay Chawla
2017 A conf
Social Media Anomaly Detection: Challenges and Solutions.
WSDM
Yan Liu, Sanjay Chawla
2016 J jnl
A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data.
IEEE Trans. Knowl. Data Eng.
Mahtab Jahanbani Fard, Ping Wang, Sanjay Chawla, Chandan K. Reddy
2016 A* conf
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting.
ICDM
Muhammad Imran, Sanjay Chawla, Carlos Castillo
2016 J jnl
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting.
CoRR
Muhammad Imran, Sanjay Chawla, Carlos Castillo
2016 J jnl
Backbone discovery in traffic networks.
Int. J. Data Sci. Anal.
Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang
2016 — conf
Discovering the Network Backbone from Traffic Activity Data.
PAKDD (1)
Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang
2016 — conf
Early-Stage Event Prediction for Longitudinal Data.
PAKDD (1)
Mahtab Jahanbani Fard, Sanjay Chawla, Chandan K. Reddy
2016 — conf
Incremental Commute Time Using Random Walks and Online Anomaly Detection.
ECML/PKDD (1)
Nguyen Lu Dang Khoa, Sanjay Chawla
2016 J jnl
Nazr-CNN: Object Detection and Fine-Grained Classification in Crowdsourced UAV Images.
CoRR
Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla
2016 A* conf
Online Optimization Methods for the Quantification Problem.
KDD
Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani
2016 — conf
Rheem: Enabling Multi-Platform Task Execution.
SIGMOD Conference
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
2016 B conf
Road to Freedom in Big Data Analytics.
EDBT
Divy Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid, Zoi Kaoudi, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Mohammed J. Zaki
2016 J jnl
Scalable Constrained Clustering: A Generalized Spectral Method.
CoRR
Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng
2016 A conf
Simple and Scalable Constrained Clustering: a Generalized Spectral Method.
AISTATS
Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng
2016 J jnl
Stochastic Optimization Techniques for Quantification Performance Measures.
CoRR
Shuai Li, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
2015 J jnl
A scalable approach to spectral clustering with SDD solvers.
J. Intell. Inf. Syst.
Nguyen Lu Dang Khoa, Sanjay Chawla
2015 — conf
Automated Classification of Passing in Football.
PAKDD (2)
Michael Horton, Joachim Gudmundsson, Sanjay Chawla, Joël Estephan
2015 A conf
Cross-Modal Retrieval: A Pairwise Classification Approach.
SDM
Aditya Krishna Menon, Didi Surian, Sanjay Chawla
2015 — conf
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation.
NIPS
Jaya Kawale, Hung Hai Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla
2015 J jnl
Eigenvector dynamics under perturbation of modular networks.
CoRR
Somwrita Sarkar, Sanjay Chawla, Peter A. Robinson, Santo Fortunato
2015 J jnl
Parameter Database : Data-centric Synchronization for Scalable Machine Learning.
CoRR
Naman Goel, Divyakant Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid
2015 A* conf
Social Media Anomaly Detection: Challenges and Solutions.
KDD
Yan Liu, Sanjay Chawla
2015 — conf
The Big Data Landscape: Hurdles and Opportunities.
DNIS
Divyakant Agrawal, Sanjay Chawla
2014 — conf
A unified approach to network anomaly detection.
IEEE BigData
Tahereh Babaie, Sanjay Chawla, Sebastien Ardon, Yue Yu
2014 B conf
Application of network analysis on healthcare.
ASONAM
Fei Wang, Uma Srinivasan, Shahadat Uddin, Sanjay Chawla
2014 J jnl
Backbone discovery in traffic networks.
CoRR
Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang
2014 J jnl
Classification of Passes in Football Matches using Spatiotemporal Data.
CoRR
Michael Horton, Joachim Gudmundsson, Sanjay Chawla, Joël Estephan
2014 — ch.
Detection of Spatiotemporal Outlier Events in Social Networks.
Encyclopedia of Social Network Analysis and Mining
Didi Surian, Sanjay Chawla
2014 J jnl
Integer Programming Relaxations for Integrated Clustering and Outlier Detection.
CoRR
Lionel Ott, Linsey Xiaolin Pang, Fabio Ramos, David Howe, Sanjay Chawla
2014 J jnl
Network Traffic Decomposition for Anomaly Detection.
CoRR
Tahereh Babaie, Sanjay Chawla, Sebastien Ardon
2014 — conf
On Integrated Clustering and Outlier Detection.
NIPS
Lionel Ott, Linsey Xiaolin Pang, Fabio Tozeto Ramos, Sanjay Chawla
2014 A* conf
On Sparse Feature Attacks in Adversarial Learning.
ICDM
Fei Wang, Wei Liu, Sanjay Chawla
2014 — conf
ProfileGuard: Privacy Preserving Obfuscation for Mobile User Profiles.
WPES
Imdad Ullah, Roksana Boreli, Salil S. Kanhere, Sanjay Chawla
2014 J jnl
Resilience of human brain functional coactivation networks under thresholding.
CoRR
Somwrita Sarkar, Sanjay Chawla, Hanley Weng
2014 J jnl
Sleep Analytics and Online Selective Anomaly Detection.
CoRR
Tahereh Babaie, Sanjay Chawla, Romesh G. Abeysuriya
2014 A* conf
Sleep analytics and online selective anomaly detection.
KDD
Tahereh Babaie, Sanjay Chawla, Romesh G. Abeysuriya
2014 — conf
The Effect of Outliers in the Design of Data Gathering Tours.
PAAP
Khaled Almiani, Sanjay Chawla, Anastasios Viglas
2013 — conf
A Causal Approach for Mining Interesting Anomalies.
Canadian AI
Sakshi Babbar, Didi Surian, Sanjay Chawla
2013 C conf
A Scalable Approach for LRT Computation in GPGPU Environments.
APWeb
Linsey Xiaolin Pang, Sanjay Chawla, Bernhard Scholz, Georgina Wilcox
2013 — conf
Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning.
PAKDD (1)
Pengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya
2013 J jnl
Feature Graph Architectures.
CoRR
Richard Davis, Sanjay Chawla, Philip H. W. Leong
2013 — conf
Mining Outlier Participants: Insights Using Directional Distributions in Latent Models.
ECML/PKDD (3)
Didi Surian, Sanjay Chawla
2013 J jnl
On detection of emerging anomalous traffic patterns using GPS data.
Data Knowl. Eng.
Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng
2013 — conf
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance.
ICML (3)
Aditya Krishna Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla
2013 B conf
Tikhonov or Lasso Regularization: Which Is Better and When.
ICTAI
Fei Wang, Sanjay Chawla, Wei Liu
2013 A conf
k-means-: A Unified Approach to Clustering and Outlier Detection.
SDM
Sanjay Chawla, Aristides Gionis
2012 — ed.
Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Proceedings, Part II
PAKDD (2)
Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey
2012 — ed.
Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I
PAKDD (1)
Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey
2012 — conf
An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries.
Australasian Conference on Artificial Intelligence
Wei Liu, Sanjay Chawla, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao
2012 J jnl
Density-preserving projections for large-scale local anomaly detection.
Knowl. Inf. Syst.
Timothy de Vries, Sanjay Chawla, Michael E. Houle
2012 A* conf
Inferring the Root Cause in Road Traffic Anomalies.
ICDM
Sanjay Chawla, Yu Zheng, Jiafeng Hu
2012 B conf
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers.
Discovery Science
Nguyen Lu Dang Khoa, Sanjay Chawla
2012 B conf
Mining Causal Outliers Using Gaussian Bayesian Networks.
ICTAI
Sakshi Babbar, Sanjay Chawla
2012 — conf
Prediction of extubation readiness in extreme preterm infants based on measures of cardiorespiratory variability.
EMBC
Doina Precup, Carlos A. Robles-Rubio, Karen A. Brown, Lara J. Kanbar, Jennifer Kaczmarek, Sanjay Chawla, Guilherme M. Sant'Anna, Robert E. Kearney
2012 J jnl
SparseDTW: A Novel Approach to Speed up Dynamic Time Warping
CoRR
Ghazi Al-Naymat, Sanjay Chawla, Javid Taheri
2011 A conf
A Quadratic Mean based Supervised Learning Model for Managing Data Skewness.
SDM
Wei Liu, Sanjay Chawla
2011 A conf
A robust index for regular expression queries.
CIKM
Dominic Tsang, Sanjay Chawla
2011 J jnl
An index for regular expression queries: Design and implementation
CoRR
Dominic Tsang, Sanjay Chawla
2011 — conf
Class Confidence Weighted
PAKDD (2)
Wei Liu, Sanjay Chawla
2011 A* conf
Discovering spatio-temporal causal interactions in traffic data streams.
KDD
Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie
2011 J jnl
Large Scale Spectral Clustering Using Approximate Commute Time Embedding
CoRR
Nguyen Lu Dang Khoa, Sanjay Chawla
2011 — conf
On Mining Anomalous Patterns in Road Traffic Streams.
ADMA (2)
Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng
2011 J jnl
Online Anomaly Detection Systems Using Incremental Commute Time
CoRR
Nguyen Lu Dang Khoa, Sanjay Chawla
2011 J jnl
Robust Record Linkage Blocking Using Suffix Arrays and Bloom Filters.
ACM Trans. Knowl. Discov. Data
Timothy de Vries, Hui Ke, Sanjay Chawla, Peter Christen
2010 A conf
A Robust Decision Tree Algorithm for Imbalanced Data Sets.
SDM
Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla
2010 J jnl
Angle Tree: Nearest Neighbor Search in High Dimensions with Low Intrinsic Dimensionality
CoRR
Ilia Zvedeniouk, Sanjay Chawla
2010 — conf
Feature Selection, Association Rules Network and Theory Building.
FSDM
Sanjay Chawla
2010 A* conf
Finding Local Anomalies in Very High Dimensional Space.
ICDM
Timothy de Vries, Sanjay Chawla, Michael E. Houle
2010 J jnl
Mining adversarial patterns via regularized loss minimization.
Mach. Learn.
Wei Liu, Sanjay Chawla
2010 — conf
Network Anomaly Detection Using a Commute Distance Based Approach.
ICDM Workshops
Nguyen Lu Dang Khoa, Tahereh Babaie, Sanjay Chawla, Zainab R. Zaidi
2010 Misc conf
On Bayesian Network and Outlier Detection.
COMAD
Sakshi Babbar, Sanjay Chawla
2010 J jnl
Outlier detection special issue.
Data Min. Knowl. Discov.
Sanjay Chawla, David J. Hand, Vasant Dhar
2010 — conf
Robust Outlier Detection Using Commute Time and Eigenspace Embedding.
PAKDD (2)
Nguyen Lu Dang Khoa, Sanjay Chawla
2009 — conf
A Game Theoretical Model for Adversarial Learning.
ICDM Workshops
Wei Liu, Sanjay Chawla
2009 J jnl
Association Rules Network: Definition and Applications.
Stat. Anal. Data Min.
Gaurav Pandey, Sanjay Chawla, Simon K. Poon, Bavani Arunasalam, Joseph G. Davis
2009 — ed.
New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers
PAKDD Workshops
Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi
2009 Misc ed.
Proceedings of the 15th International Conference on Management of Data, December 9-12, 2009, International School of Information Management, Mysore, India
COMOD
Sanjay Chawla, Kamalakar Karlapalem, Vikram Pudi
2009 A conf
Robust record linkage blocking using suffix arrays.
CIKM
Timothy de Vries, Hui Ke, Sanjay Chawla, Peter Christen
2009 Misc conf
SparseDTW: A Novel Approach to Speed up Dynamic Time Warping.
AusDM
Ghazi Al-Naymat, Sanjay Chawla, Javid Taheri
2008 Misc conf
Disk-Based Sampling for Outlier Detection in High Dimensional Data.
COMAD
Timothy de Vries, Sanjay Chawla, Pei Sun, Gia Vinh Anh Pham
2008 J jnl
Mining spatio-temporal patterns in object mobility databases.
Data Min. Knowl. Discov.
Florian Verhein, Sanjay Chawla
2008 — ch.
Patterns, Complex.
Encyclopedia of GIS
Sanjay Chawla
2008 — conf
Spatio-temporal Outlier Detection in Precipitation Data.
KDD Workshop on Knowledge Discovery from Sensor Data
Elizabeth Wu, Wei Liu, Sanjay Chawla
2007 A conf
An incremental data-stream sketch using sparse random projections.
SDM
Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Chawla, Anastasios Viglas
2007 Misc conf
Dimensionality reduction for long duration and complex spatio-temporal queries.
SAC
Ghazi Al-Naymat, Sanjay Chawla, Joachim Gudmundsson
2007 J jnl
High Confidence Rule Mining for Microarray Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Tara McIntosh, Sanjay Chawla
2007 — conf
Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern Oscillation.
ICDM Workshops
Elizabeth Wu, Sanjay Chawla
2007 A* conf
Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets.
ICDM
Florian Verhein, Sanjay Chawla
2006 A* conf
CCCS: a top-down associative classifier for imbalanced class distribution.
KDD
Bavani Arunasalam, Sanjay Chawla
2006 A* conf
Geometrically Inspired Itemset Mining.
ICDM
Florian Verhein, Sanjay Chawla
2006 B conf
Mining Spatio-temporal Association Rules, Sources, Sinks, Stationary Regions and Thoroughfares in Object Mobility Databases.
DASFAA
Florian Verhein, Sanjay Chawla
2006 A conf
Mining for Outliers in Sequential Databases.
SDM
Pei Sun, Sanjay Chawla, Bavani Arunasalam
2006 J jnl
SLOM: a new measure for local spatial outliers.
Knowl. Inf. Syst.
Sanjay Chawla, Pei Sun
2005 Misc conf
A Hill-Climbing Landmarker Generation Algorithm Based on Efficiency and Correlativity Criteria.
FLAIRS
Daren Ler, Irena Koprinska, Sanjay Chawla
2005 B conf
Conditional Random Fields for Transmembrane Helix Prediction.
PAKDD
Lior Lukov, Sanjay Chawla, W. Bret Church
2005 — conf
On discovery of maximal confident rules without support pruning in microarray data.
BIOKDD
Tara McIntosh, Sanjay Chawla
2005 — conf
Sequential Pattern Mining with Constraints on Large Protein Databases.
COMAD (b)
Joshua Ho, Lior Lukov, Sanjay Chawla
2005 A conf
Striking Two Birds With One Stone: Simultaneous Mining of Positive and Negative Spatial Patterns.
SDM
Bavani Arunasalam, Sanjay Chawla, Pei Sun
2004 — conf
A Landmarker Selection Algorithm Based on Correlation and Efficiency Criteria.
Australian Conference on Artificial Intelligence
Daren Ler, Irena Koprinska, Sanjay Chawla
2004 C conf
A new landmarker generation algorithm based on correlativity.
ICMLA
Daren Ler, Irena Koprinska, Sanjay Chawla
2004 C conf
Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation.
HIS
Daren Ler, Irena Koprinska, Sanjay Chawla
2004 — conf
Mining Complex Relationships in the SDSS SkyServer Spatial Database.
COMPSAC Workshops
Bavani Arunasalam, Sanjay Chawla, Pei Sun, Robert Munro
2004 A* conf
On Local Pruning of Association Rules Using Directed Hypergraphs.
ICDE
Sanjay Chawla, Joseph G. Davis, Gaurav Pandey
2004 A* conf
On Local Spatial Outliers.
ICDM
Pei Sun, Sanjay Chawla
2003 A* conf
Complex Spatial Relationships.
ICDM
Robert Munro, Sanjay Chawla, Pei Sun
2003 B conf
Mining Open Source Software (OSS) Data Using Association Rules Network.
PAKDD
Sanjay Chawla, Bavani Arunasalam, Joseph G. Davis
2003 J jnl
Object-Based Directional Query Processing in Spatial Databases.
IEEE Trans. Knowl. Data Eng.
Xuan Liu, Shashi Shekhar, Sanjay Chawla
2003 — book
Spatial databases - a tour.
Shashi Shekhar, Sanjay Chawla
2002 — conf
A Comparison of Markov Random Field and Spatial Regression Models for Mining Geospatial Data.
JCIS
Sanjay Chawla, Shashi Shekhar, Weili Wu
2002 J jnl
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach.
IEEE Trans. Knowl. Data Eng.
Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Sivakumar Ravada
2002 J jnl
Spatial contextual classification and prediction models for mining geospatial data.
IEEE Trans. Multim.
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsavai, Weili Wu, Sanjay Chawla
2001 J jnl
Maintaining Spatial Constraints Using a Dimension Graph Approach.
Int. J. Artif. Intell. Tools
Xuan Liu, Shashi Shekhar, Sanjay Chawla
2001 A conf
Modeling Spatial Dependencies for Mining Geospatial Data.
SDM
Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Özesmi
2000 B conf
Consistency checking for Euclidean spatial constraints: a dimension graph approach.
ICTAI
Xuan Liu, Shashi Shekhar, Sanjay Chawla
2000 — conf
Extending Data Mining for Spatial Applications: A Case Study in Predicting Nest Locations.
ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Özesmi
2000 — conf
Predicting Locations Using Map Similarity(PLUMS): A Framework for Spatial Data Mining.
MDM/KDD
Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Özesmi
2000 — conf
Processing object-oientation-based direction queries: a summary of results.
ACM-GIS
Xuan Liu, Shashi Shekhar, Sanjay Chawla
1999 J jnl
An Object Model of Direction and Its Implications.
GeoInformatica
Shashi Shekhar, Xuan Liu, Sanjay Chawla
1999 J jnl
Spatial Databases - Accomplishments and Research Needs.
IEEE Trans. Knowl. Data Eng.
Shashi Shekhar, Sanjay Chawla, Sivakumar Ravada, Andrew Fetterer, Xuan Liu, Chang-Tien Lu
1999 — conf
Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models.
Integrated Spatial Databases
Shashi Shekhar, Ranga Raju Vatsavai, Sanjay Chawla, Thomas E. Burk
1998 B conf
Optimizing Join Index Based Join Processing: A Graph Partitioning Approach.
SRDS
Sivakumar Ravada, Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla