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ORCIDSanjay Chawla
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2020 – today
- 2024
[j40]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): 189-200 (2024)- [j39]Nour Makke, Sanjay Chawla:
Interpretable scientific discovery with symbolic regression: a review. Artif. Intell. Rev. 57(1): 2 (2024) - [j38]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): 10 (2024) - [c112]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 - [c111]Nour Makke, Sanjay Chawla:
Symbolic Regression: A Pathway to Interpretability Towards Automated Scientific Discovery. KDD 2024: 6588-6596 - [i56]Masoomali Fatehkia, Ji Kim Lucas, Sanjay Chawla:
T-RAG: Lessons from the LLM Trenches. CoRR abs/2402.07483 (2024) - [i55]Naveen Karunanayake, Ravin Gunawardena, Suranga Seneviratne, Sanjay Chawla:
Out-of-Distribution Data: An Acquaintance of Adversarial Examples - A Survey. CoRR abs/2404.05219 (2024) - [i54]Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla:
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. CoRR abs/2405.00987 (2024) - [i53]Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla:
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training. CoRR abs/2405.17130 (2024) - [i52]Dishanika Denipitiyage, Bhanuka Silva, K. Gunathilaka, Suranga Seneviratne, Anirban Mahanti, Aruna Seneviratne, Sanjay Chawla:
Detecting and Characterising Mobile App Metamorphosis in Google Play Store. CoRR abs/2407.14565 (2024) - 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 - [i51]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) - [i50]Naveen Karunanayake, Suranga Seneviratne, Sanjay Chawla:
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection. CoRR abs/2311.14754 (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]Lionel Ott, Linsey Xiaolin Pang, Fabio Tozeto Ramos, Sanjay Chawla:
On Integrated Clustering and Outlier Detection. NIPS 2014: 1359-1367 - [c59]Khaled Almiani, Sanjay Chawla, Anastasios Viglas:
The Effect of Outliers in the Design of Data Gathering Tours. PAAP 2014: 209-214 - [c58]Imdad Ullah, Roksana Boreli, Salil S. Kanhere, Sanjay Chawla:
ProfileGuard: Privacy Preserving Obfuscation for Mobile User Profiles. WPES 2014: 83-92 - [r2]Didi Surian, Sanjay Chawla:
Detection of Spatiotemporal Outlier Events in Social Networks. Encyclopedia of Social Network Analysis and Mining 2014: 364-369 - [i12]Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang:
Backbone discovery in traffic networks. CoRR abs/1402.6138 (2014) - [i11]Tahereh Babaie, Sanjay Chawla, Romesh G. Abeysuriya:
Sleep Analytics and Online Selective Anomaly Detection. CoRR abs/1403.0156 (2014) - [i10]Tahereh Babaie, Sanjay Chawla, Sebastien Ardon:
Network Traffic Decomposition for Anomaly Detection. CoRR abs/1403.0157 (2014) - [i9]Lionel Ott, Linsey Xiaolin Pang, Fabio Ramos, David Howe, Sanjay Chawla:
Integer Programming Relaxations for Integrated Clustering and Outlier Detection. CoRR abs/1403.1329 (2014) - [i8]Somwrita Sarkar, Sanjay Chawla, Hanley Weng:
Resilience of human brain functional coactivation networks under thresholding. CoRR abs/1407.1549 (2014) - [i7]Michael Horton, Joachim Gudmundsson, Sanjay Chawla, Joël Estephan:
Classification of Passes in Football Matches using Spatiotemporal Data. CoRR abs/1407.5093 (2014) - 2013
- [j15]Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng:
On detection of emerging anomalous traffic patterns using GPS data. Data Knowl. Eng. 87: 357-373 (2013) - [c57]Sakshi Babbar, Didi Surian, Sanjay Chawla:
A Causal Approach for Mining Interesting Anomalies. Canadian AI 2013: 226-232 - [c56]Linsey Xiaolin Pang, Sanjay Chawla, Bernhard Scholz, Georgina Wilcox:
A Scalable Approach for LRT Computation in GPGPU Environments. APWeb 2013: 595-608 - [c55]Aditya Krishna Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla:
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance. ICML (3) 2013: 603-611 - [c54]Fei Wang, Sanjay Chawla, Wei Liu:
Tikhonov or Lasso Regularization: Which Is Better and When. ICTAI 2013: 795-802 - [c53]Pengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya:
Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning. PAKDD (1) 2013: 544-555 - [c52]Didi Surian, Sanjay Chawla:
Mining Outlier Participants: Insights Using Directional Distributions in Latent Models. ECML/PKDD (3) 2013: 337-352 - [c51]Sanjay Chawla, Aristides Gionis:
k-means-: A Unified Approach to Clustering and Outlier Detection. SDM 2013: 189-197 - [i6]Richard Davis, Sanjay Chawla, Philip H. W. Leong:
Feature Graph Architectures. CoRR abs/1312.4209 (2013) - 2012
- [j14]Timothy de Vries, Sanjay Chawla, Michael E. Houle:
Density-preserving projections for large-scale local anomaly detection. Knowl. Inf. Syst. 32(1): 25-52 (2012) - [c50]Wei Liu, Sanjay Chawla, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao:
An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries. Australasian Conference on Artificial Intelligence 2012: 649-660 - [c49]Nguyen Lu Dang Khoa, Sanjay Chawla:
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers. Discovery Science 2012: 7-21 - [c48]Doina Precup, Carlos A. Robles-Rubio, Karen A. Brown, Lara J. Kanbar, Jennifer Kaczmarek, Sanjay Chawla, Guilherme M. Sant'Anna, Robert E. Kearney:
Prediction of extubation readiness in extreme preterm infants based on measures of cardiorespiratory variability. EMBC 2012: 5630-5633 - [c47]Sanjay Chawla, Yu Zheng, Jiafeng Hu:
Inferring the Root Cause in Road Traffic Anomalies. ICDM 2012: 141-150 - [c46]Sakshi Babbar, Sanjay Chawla:
Mining Causal Outliers Using Gaussian Bayesian Networks. ICTAI 2012: 97-104 - [e4]Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey:
Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7301, Springer 2012, ISBN 978-3-642-30216-9 [contents] - [e3]Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey:
Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7302, Springer 2012, ISBN 978-3-642-30219-0 [contents] - [i5]Ghazi Al-Naymat, Sanjay Chawla, Javid Taheri:
SparseDTW: A Novel Approach to Speed up Dynamic Time Warping. CoRR abs/1201.2969 (2012) - 2011
- [j13]Timothy de Vries, Hui Ke, Sanjay Chawla, Peter Christen:
Robust Record Linkage Blocking Using Suffix Arrays and Bloom Filters. ACM Trans. Knowl. Discov. Data 5(2): 9:1-9:27 (2011) - [c45]Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng:
On Mining Anomalous Patterns in Road Traffic Streams. ADMA (2) 2011: 237-251 - [c44]Dominic Tsang, Sanjay Chawla:
A robust index for regular expression queries. CIKM 2011: 2365-2368 - [c43]Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie:
Discovering spatio-temporal causal interactions in traffic data streams. KDD 2011: 1010-1018 - [c42]Wei Liu, Sanjay Chawla:
Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets. PAKDD (2) 2011: 345-356 - [c41]Wei Liu, Sanjay Chawla:
A Quadratic Mean based Supervised Learning Model for Managing Data Skewness. SDM 2011: 188-198 - [i4]Nguyen Lu Dang Khoa, Sanjay Chawla:
Online Anomaly Detection Systems Using Incremental Commute Time. CoRR abs/1107.3894 (2011) - [i3]Dominic Tsang, Sanjay Chawla:
An index for regular expression queries: Design and implementation. CoRR abs/1108.1228 (2011) - [i2]Nguyen Lu Dang Khoa, Sanjay Chawla:
Large Scale Spectral Clustering Using Approximate Commute Time Embedding. CoRR abs/1111.4541 (2011) - 2010
- [j12]Sanjay Chawla, David J. Hand, Vasant Dhar:
Outlier detection special issue. Data Min. Knowl. Discov. 20(2): 189-190 (2010) - [j11]Wei Liu, Sanjay Chawla:
Mining adversarial patterns via regularized loss minimization. Mach. Learn. 81(1): 69-83 (2010) - [c40]Sakshi Babbar, Sanjay Chawla:
On Bayesian Network and Outlier Detection. COMAD 2010: 125 - [c39]Timothy de Vries, Sanjay Chawla, Michael E. Houle:
Finding Local Anomalies in Very High Dimensional Space. ICDM 2010: 128-137 - [c38]Nguyen Lu Dang Khoa, Tahereh Babaie, Sanjay Chawla, Zainab R. Zaidi:
Network Anomaly Detection Using a Commute Distance Based Approach. ICDM Workshops 2010: 943-950 - [c37]Nguyen Lu Dang Khoa, Sanjay Chawla:
Robust Outlier Detection Using Commute Time and Eigenspace Embedding. PAKDD (2) 2010: 422-434 - [c36]Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla:
A Robust Decision Tree Algorithm for Imbalanced Data Sets. SDM 2010: 766-777 - [c35]Sanjay Chawla:
Feature Selection, Association Rules Network and Theory Building. FSDM 2010: 14-21 - [i1]Ilia Zvedeniouk, Sanjay Chawla:
Angle Tree: Nearest Neighbor Search in High Dimensions with Low Intrinsic Dimensionality. CoRR abs/1003.5474 (2010)
2000 – 2009
- 2009
- [j10]Gaurav Pandey, Sanjay Chawla, Simon K. Poon, Bavani Arunasalam, Joseph G. Davis:
Association Rules Network: Definition and Applications. Stat. Anal. Data Min. 1(4): 260-279 (2009) - [c34]Ghazi Al-Naymat, Sanjay Chawla, Javid Taheri:
SparseDTW: A Novel Approach to Speed up Dynamic Time Warping. AusDM 2009: 117-128 - [c33]Timothy de Vries, Hui Ke, Sanjay Chawla, Peter Christen:
Robust record linkage blocking using suffix arrays. CIKM 2009: 305-314 - [c32]Wei Liu, Sanjay Chawla:
A Game Theoretical Model for Adversarial Learning. ICDM Workshops 2009: 25-30 - [e2]Sanjay Chawla, Kamalakar Karlapalem, Vikram Pudi:
Proceedings of the 15th International Conference on Management of Data, December 9-12, 2009, International School of Information Management, Mysore, India. Computer Society of India 2009 [contents] - [e1]Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi:
New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers. Lecture Notes in Computer Science 5433, Springer 2009, ISBN 978-3-642-00398-1 [contents] - 2008
- [j9]Florian Verhein, Sanjay Chawla:
Mining spatio-temporal patterns in object mobility databases. Data Min. Knowl. Discov. 16(1): 5-38 (2008) - [c31]Timothy de Vries, Sanjay Chawla, Pei Sun, Gia Vinh Anh Pham:
Disk-Based Sampling for Outlier Detection in High Dimensional Data. COMAD 2008: 40-50 - [c30]Elizabeth Wu, Wei Liu, Sanjay Chawla:
Spatio-temporal Outlier Detection in Precipitation Data. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 115-133 - [r1]Sanjay Chawla:
Patterns, Complex. Encyclopedia of GIS 2008: 849-851 - 2007
- [j8]Tara McIntosh, Sanjay Chawla:
High Confidence Rule Mining for Microarray Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 4(4): 611-623 (2007) - [c29]Florian Verhein, Sanjay Chawla:
Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets. ICDM 2007: 679-684 - [c28]Elizabeth Wu, Sanjay Chawla:
Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern Oscillation. ICDM Workshops 2007: 685-692 - [c27]Ghazi Al-Naymat, Sanjay Chawla, Joachim Gudmundsson:
Dimensionality reduction for long duration and complex spatio-temporal queries. SAC 2007: 393-397 - [c26]Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Chawla, Anastasios Viglas:
An incremental data-stream sketch using sparse random projections. SDM 2007: 563-568 - 2006
- [j7]Sanjay Chawla, Pei Sun:
SLOM: a new measure for local spatial outliers. Knowl. Inf. Syst. 9(4): 412-429 (2006) - [c25]Florian Verhein, Sanjay Chawla:
Mining Spatio-temporal Association Rules, Sources, Sinks, Stationary Regions and Thoroughfares in Object Mobility Databases. DASFAA 2006: 187-201 - [c24]Florian Verhein, Sanjay Chawla:
Geometrically Inspired Itemset Mining. ICDM 2006: 655-666 - [c23]Bavani Arunasalam, Sanjay Chawla:
CCCS: a top-down associative classifier for imbalanced class distribution. KDD 2006: 517-522 - [c22]Pei Sun, Sanjay Chawla, Bavani Arunasalam:
Mining for Outliers in Sequential Databases. SDM 2006: 94-105 - 2005
- [c21]Joshua Ho, Lior Lukov, Sanjay Chawla:
Sequential Pattern Mining with Constraints on Large Protein Databases. COMAD (b) 2005 - [c20]Daren Ler, Irena Koprinska, Sanjay Chawla:
A Hill-Climbing Landmarker Generation Algorithm Based on Efficiency and Correlativity Criteria. FLAIRS 2005: 418-423 - [c19]Tara McIntosh, Sanjay Chawla:
On discovery of maximal confident rules without support pruning in microarray data. BIOKDD 2005: 37-45 - [c18]Lior Lukov, Sanjay Chawla, W. Bret Church:
Conditional Random Fields for Transmembrane Helix Prediction. PAKDD 2005: 155-161 - [c17]Bavani Arunasalam, Sanjay Chawla, Pei Sun:
Striking Two Birds With One Stone: Simultaneous Mining of Positive and Negative Spatial Patterns. SDM 2005: 173-182 - 2004
- [c16]Daren Ler, Irena Koprinska, Sanjay Chawla:
A Landmarker Selection Algorithm Based on Correlation and Efficiency Criteria. Australian Conference on Artificial Intelligence 2004: 296-306 - [c15]Bavani Arunasalam, Sanjay Chawla, Pei Sun, Robert Munro:
Mining Complex Relationships in the SDSS SkyServer Spatial Database. COMPSAC Workshops 2004: 142-145 - [c14]Daren Ler, Irena Koprinska, Sanjay Chawla:
Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation. HIS 2004: 32-37 - [c13]Sanjay Chawla, Joseph G. Davis, Gaurav Pandey:
On Local Pruning of Association Rules Using Directed Hypergraphs. ICDE 2004: 832 - [c12]Pei Sun, Sanjay Chawla:
On Local Spatial Outliers. ICDM 2004: 209-216 - [c11]Daren Ler, Irena Koprinska, Sanjay Chawla:
A new landmarker generation algorithm based on correlativity. ICMLA 2004: 178-185 - 2003
- [b1]Shashi Shekhar, Sanjay Chawla:
Spatial databases - a tour. Prentice Hall 2003, ISBN 978-0-13-017480-2, pp. I-XXIII, 1-262 - [j6]Xuan Liu, Shashi Shekhar, Sanjay Chawla:
Object-Based Directional Query Processing in Spatial Databases. IEEE Trans. Knowl. Data Eng. 15(2): 295-304 (2003) - [c10]Robert Munro, Sanjay Chawla, Pei Sun:
Complex Spatial Relationships. ICDM 2003: 227-234 - [c9]Sanjay Chawla, Bavani Arunasalam, Joseph G. Davis:
Mining Open Source Software (OSS) Data Using Association Rules Network. PAKDD 2003: 461-466 - 2002
- [j5]Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Sivakumar Ravada:
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach. IEEE Trans. Knowl. Data Eng. 14(6): 1400-1421 (2002) - [j4]Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsavai, Weili Wu, Sanjay Chawla:
Spatial contextual classification and prediction models for mining geospatial data. IEEE Trans. Multim. 4(2): 174-188 (2002) - [c8]Sanjay Chawla, Shashi Shekhar, Weili Wu:
A Comparison of Markov Random Field and Spatial Regression Models for Mining Geospatial Data. JCIS 2002: 245-250 - 2001
- [j3]Xuan Liu, Shashi Shekhar, Sanjay Chawla:
Maintaining Spatial Constraints Using a Dimension Graph Approach. Int. J. Artif. Intell. Tools 10(4): 639-662 (2001) - [c7]Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Özesmi:
Modeling Spatial Dependencies for Mining Geospatial Data. SDM 2001: 1-17 - 2000
- [c6]Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Özesmi:
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 2000: 70-77 - [c5]Xuan Liu, Shashi Shekhar, Sanjay Chawla:
Processing object-oientation-based direction queries: a summary of results. ACM-GIS 2000: 69-76 - [c4]Xuan Liu, Shashi Shekhar, Sanjay Chawla:
Consistency checking for Euclidean spatial constraints: a dimension graph approach. ICTAI 2000: 333- - [c3]Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Özesmi:
Predicting Locations Using Map Similarity(PLUMS): A Framework for Spatial Data Mining. MDM/KDD 2000: 14-24
1990 – 1999
- 1999
- [j2]Shashi Shekhar, Xuan Liu, Sanjay Chawla:
An Object Model of Direction and Its Implications. GeoInformatica 3(4): 357-379 (1999) - [j1]Shashi Shekhar, Sanjay Chawla, Sivakumar Ravada, Andrew Fetterer, Xuan Liu, Chang-Tien Lu:
Spatial Databases - Accomplishments and Research Needs. IEEE Trans. Knowl. Data Eng. 11(1): 45-55 (1999) - [c2]Shashi Shekhar, Ranga Raju Vatsavai, Sanjay Chawla, Thomas E. Burk:
Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models. Integrated Spatial Databases 1999: 77-104 - 1998
- [c1]Sivakumar Ravada, Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla:
Optimizing Join Index Based Join Processing: A Graph Partitioning Approach. SRDS 1998: 302-308
Coauthor Index
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