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2020 – today
- 2021
[j32]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)- [c101]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 - [i42]Raghvendra Mall, Shameem Ahamed Puthiya Parambath, Han Yufei, Ting Yu, Sanjay Chawla:
Permutation-Invariant Subgraph Discovery. CoRR abs/2104.01063 (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) - [c100]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 - [c99]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 - [c98]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 - [c97]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 - [c96]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 - [c95]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) - [c94]Sebastian Kruse, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla, Felix Naumann, Bertty Contreras-Rojas:
Optimizing Cross-Platform Data Movement. ICDE 2019: 1642-1645 - [c93]Stefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla:
Reinforcement Learning with Explainability for Traffic Signal Control. ITSC 2019: 3567-3572 - [c92]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) - [c91]Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla:
SAGA: A Submodular Greedy Algorithm for Group Recommendation. AAAI 2018: 3900-3908 - [c90]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 - [c89]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 - [c88]Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden:
Machine-assisted map editing. SIGSPATIAL/GIS 2018: 23-32 - [c87]Ji Lucas, Yasser Idris, Bertty Contreras-Rojas, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla:
RheemStudio: Cross-Platform Data Analytics Made Easy. ICDE 2018: 1573-1576 - [c86]Mustafa Coskun, Abdelkader Baggag, Sanjay Chawla:
Deep Reinforcement Learning for Traffic Light Optimization. ICDM Workshops 2018: 564-571 - [c85]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 - [c84]Raghavendra Chalapathy, Edward Toth, Sanjay Chawla:
Group Anomaly Detection Using Deep Generative Models. ECML/PKDD (1) 2018: 173-189 - [c83]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) - [c82]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 - [c81]Faisal Nawab, Divy Agrawal, Amr El Abbadi, Sanjay Chawla:
COP: Planning Conflicts for Faster Parallel Transactional Machine Learning. EDBT 2017: 132-143 - [c80]Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla:
Robust, Deep and Inductive Anomaly Detection. ECML/PKDD (1) 2017: 36-51 - [c79]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 - [c78]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 - [c77]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) - [c76]Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng:
Simple and Scalable Constrained Clustering: a Generalized Spectral Method. AISTATS 2016: 445-454 - [c75]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 - [c74]Muhammad Imran, Sanjay Chawla, Carlos Castillo:
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting. ICDM 2016: 961-966 - [c73]Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani:
Online Optimization Methods for the Quantification Problem. KDD 2016: 1625-1634 - [c72]Mahtab Jahanbani Fard, Sanjay Chawla, Chandan K. Reddy:
Early-Stage Event Prediction for Longitudinal Data. PAKDD (1) 2016: 139-151 - [c71]Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang:
Discovering the Network Backbone from Traffic Activity Data. PAKDD (1) 2016: 409-422 - [c70]Nguyen Lu Dang Khoa, Sanjay Chawla:
Incremental Commute Time Using Random Walks and Online Anomaly Detection. ECML/PKDD (1) 2016: 49-64 - [c69]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) - [c68]Divyakant Agrawal, Sanjay Chawla:
The Big Data Landscape: Hurdles and Opportunities. DNIS 2015: 1-11 - [c67]Yan Liu, Sanjay Chawla:
Social Media Anomaly Detection: Challenges and Solutions. KDD 2015: 2317-2318 - [c66]Jaya Kawale, Hung Hai Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla:
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation. NIPS 2015: 1297-1305 - [c65]Michael Horton, Joachim Gudmundsson, Sanjay Chawla, Joël Estephan:
Automated Classification of Passing in Football. PAKDD (2) 2015: 319-330 - [c64]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
- [c63]Fei Wang, Uma Srinivasan, Shahadat Uddin, Sanjay Chawla:
Application of network analysis on healthcare. ASONAM 2014: 596-603 - [c62]Tahereh Babaie, Sanjay Chawla, Sebastien Ardon, Yue Yu:
A unified approach to network anomaly detection. IEEE BigData 2014: 650-655 - [c61]Fei Wang, Wei Liu, Sanjay Chawla:
On Sparse Feature Attacks in Adversarial Learning. ICDM 2014: 1013-1018 - [c60]Tahereh Babaie, Sanjay Chawla, Romesh G. Abeysuriya:
Sleep analytics and online selective anomaly detection. KDD 2014: 362-371 - [c59]Lionel Ott, Linsey Xiaolin Pang, Fabio Tozeto Ramos, Sanjay Chawla:
On Integrated Clustering and Outlier Detection. NIPS 2014: 1359-1367 - [c58]Khaled Almiani, Sanjay Chawla, Anastasios Viglas:
The Effect of Outliers in the Design of Data Gathering Tours. PAAP 2014: 209-214 - [c57]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) - [c56]Sakshi Babbar, Didi Surian, Sanjay Chawla:
A Causal Approach for Mining Interesting Anomalies. Canadian Conference on AI 2013: 226-232 - [c55]Linsey Xiaolin Pang, Sanjay Chawla, Bernhard Scholz, Georgina Wilcox:
A Scalable Approach for LRT Computation in GPGPU Environments. APWeb 2013: 595-608 - [c54]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 - [c53]Fei Wang, Sanjay Chawla, Wei Liu:
Tikhonov or Lasso Regularization: Which Is Better and When. ICTAI 2013: 795-802 - [c52]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 - [c51]Didi Surian, Sanjay Chawla:
Mining Outlier Participants: Insights Using Directional Distributions in Latent Models. ECML/PKDD (3) 2013: 337-352 - [c50]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) - [c49]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 - [c48]Nguyen Lu Dang Khoa, Sanjay Chawla:
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers. Discovery Science 2012: 7-21 - [c47]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 - [c46]Sanjay Chawla, Yu Zheng, Jiafeng Hu:
Inferring the Root Cause in Road Traffic Anomalies. ICDM 2012: 141-150 - [c45]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) - [c44]Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng:
On Mining Anomalous Patterns in Road Traffic Streams. ADMA (2) 2011: 237-251 - [c43]Dominic Tsang, Sanjay Chawla:
A robust index for regular expression queries. CIKM 2011: 2365-2368 - [c42]Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie:
Discovering spatio-temporal causal interactions in traffic data streams. KDD 2011: 1010-1018 - [c41]Wei Liu, Sanjay Chawla:
Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets. PAKDD (2) 2011: 345-356 - [c40]