The Set Covering Machine with Data-Dependent Half-Spaces. - Mario Marchand; Mohak Shah; John Shawe-Taylor; Marina Sokolova (ICML, 2003)

PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data. - Mario Marchand; Mohak Shah (NIPS, 2004)

Margin-Sparsity Trade-Off for the Set Covering Machine. - François Laviolette; Mario Marchand; Mohak Shah (ECML, 2005)

A PAC-Bayes approach to the Set Covering Machine. - François Laviolette; Mario Marchand; Mohak Shah (NIPS, 2005)

Process-Specific Information for Learning Electronic Negotiation Outcomes. - Mohak Shah; Marina Sokolova; Stan Szpakowicz (Fundam. Informaticae, 2006)

Sample compression bounds for decision trees. - Mohak Shah (ICML, 2007)

Risk Bounds for Randomized Sample Compressed Classifiers. - Mohak Shah (NIPS, 2008)

Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields. - Zahra Karimaghaloo; Mohak Shah; Simon J. Francis; Douglas L. Arnold; D. Louis Collins; Tal Arbel (MICCAI (3), 2010)

Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis. - Yiming Xiao; Mohak Shah; Simon J. Francis; Douglas L. Arnold; Tal Arbel; D. Louis Collins (MLMI, 2010)

Learning the set covering machine by bound minimization and margin-sparsity trade-off. - François Laviolette; Mario Marchand; Mohak Shah; Sara Shanian (Mach. Learn., 2010)

Relaxed Exponential Kernels for Unsupervised Learning. - Karim T. Abou-Moustafa; Mohak Shah; Fernando De la Torre; Frank P. Ferrie (DAGM-Symposium, 2011)

Exploiting text mining techniques in the analysis of execution traces. - Heidar Pirzadeh; Abdelwahab Hamou-Lhadj; Mohak Shah (ICSM, 2011)

Generalized Agreement Statistics over Fixed Group of Experts. - Mohak Shah (ECML/PKDD (3), 2011)

Evaluating intensity normalization on MRIs of human brain with multiple sclerosis. - Mohak Shah; Yiming Xiao; Nagesh K. Subbanna; Simon J. Francis; Douglas L. Arnold; D. Louis Collins; Tal Arbel (Medical Image Anal., 2011)

A General Framework for Analyzing Data from Two Short Time-Series Microarray Experiments. - Mohak Shah; Jacques Corbeil (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data. - Mohak Shah; Mario Marchand; Jacques Corbeil (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields. - Zahra Karimaghaloo; Mohak Shah; Simon J. Francis; Douglas L. Arnold; D. Louis Collins; Tal Arbel (IEEE Trans. Medical Imaging, 2012)

ADMM based scalable machine learning on Spark. - Sauptik Dhar; Congrui Yi; Naveen Ramakrishnan; Mohak Shah (IEEE BigData, 2015)

Comparative Study of Caffe, Neon, Theano, and Torch for Deep Learning. - Soheil Bahrampour; Naveen Ramakrishnan; Lukas Schott; Mohak Shah (CoRR, 2015)

Big Data and the Internet of Things. - Mohak Shah (CoRR, 2015)

An architecture for the deployment of statistical models for the big data era. - Juergen Heit; Jiayi Liu 002; Mohak Shah (IEEE BigData, 2016)

Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics? - Mark Grechanik; Nitin Prabhu; Daniel Graham; Denys Poshyvanyk; Mohak Shah (MLDM, 2016)

Universum Learning for Multiclass SVM. - Sauptik Dhar; Naveen Ramakrishnan; Vladimir Cherkassky; Mohak Shah (CoRR, 2016)

Deep Symbolic Representation Learning for Heterogeneous Time-series Classification. - Shengdong Zhang; Soheil Bahrampour; Naveen Ramakrishnan; Mohak Shah (CoRR, 2016)

Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction. - Shengdong Zhang; Soheil Bahrampour; Naveen Ramakrishnan; Lukas Schott; Mohak Shah (ICASSP, 2017)

Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure. - Pranjul Yadav; Unmesh Kurup; Mohak Shah (ICMLA, 2017)

A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior. - Seyed Hamid Mirebrahim; Mohammad Shokoohi-Yekta; Unmesh Kurup; Torsten Welfonder; Mohak Shah (BuildSys, 2017)

Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing. - Shujian Yu; Zubin Abraham; Heng Wang; Mohak Shah; José C. Príncipe (CoRR, 2017)

Distributed NoSQL Data Stores: Performance Analysis and a Case Study. - Abdeltawab M. Hendawi; Jayant Gupta; Jiayi Liu 002; Ankur Teredesai; Naveen Ramakrishnan; Mohak Shah; Mohamed H. Ali (IEEE BigData, 2018)

Effective Building Block Design for Deep Convolutional Neural Networks using Search. - Jayanta K. Dutta; Jiayi Liu 002; Unmesh Kurup; Mohak Shah (CoRR, 2018)

Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling. - Jiayi Liu 002; Samarth Tripathi; Unmesh Kurup; Mohak Shah (CoRR, 2018)

Multiclass Universum SVM. - Sauptik Dhar; Vladimir Cherkassky; Mohak Shah (CoRR, 2018)

Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving. - Junyao Guo; Unmesh Kurup; Mohak Shah (CoRR, 2018)

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. - Jiayi Liu 002; Samarth Tripathi; Unmesh Kurup; Mohak Shah (IEEE BigData, 2019)

Dynamic Task Offloading in Multi-Agent Mobile Edge Computing Networks. - Javad Heydari; Viswanath Ganapathy; Mohak Shah (GLOBECOM, 2019)

Multiclass Learning from Contradictions. - Sauptik Dhar; Vladimir Cherkassky; Mohak Shah (NeurIPS, 2019)

Robust Neural Network Training using Periodic Sampling over Model Weights. - Samarth Tripathi; Jiayi Liu 002; Unmesh Kurup; Mohak Shah (CoRR, 2019)

On-Device Machine Learning: An Algorithms and Learning Theory Perspective. - Sauptik Dhar; Junyao Guo; Jiayi Liu 002; Samarth Tripathi; Unmesh Kurup; Mohak Shah (CoRR, 2019)

Concept drift detection and adaptation with hierarchical hypothesis testing. - Shujian Yu; Zubin Abraham; Heng Wang; Mohak Shah; Yantao Wei; José C. Príncipe (J. Frankl. Inst., 2019)

Solve for Good: A Data Science for Social Good Marketplace. - Rayid Ghani; Lisa Green; Alberto Bengoa; Mohak Shah (SIGKDD Explor., 2019)

Benchmarking large-scale data management for Internet of Things. - Abdeltawab M. Hendawi; Jayant Gupta; Jiayi Liu 002; Ankur Teredesai; Naveen Ramakrishnan; Mohak Shah; Shaker H. Ali El-Sappagh; Kyung-Sup Kwak; Mohamed H. Ali (J. Supercomput., 2019)

Improving Model Training by Periodic Sampling over Weight Distributions. - Samarth Tripathi; Jiayi Liu 002; Sauptik Dhar; Unmesh Kurup; Mohak Shah (IEEE BigData, 2020)

Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize. - Youngsuk Park; Sauptik Dhar; Stephen P. Boyd; Mohak Shah (ICASSP, 2020)

A Study on the Factors Influencing Behavioral Intention of Indian Consumers in Adopting Voice Assistants. - Dimple Kaul; Mohak Shah; Neeraj Dhakephalkar (TDIT (1), 2020)

Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey. - Jiayi Liu 002; Samarth Tripathi; Unmesh Kurup; Mohak Shah (CoRR, 2020)

Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization. - Sauptik Dhar; Unmesh Kurup; Mohak Shah (CoRR, 2020)

Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving. - Junyao Guo; Unmesh Kurup; Mohak Shah (IEEE Trans. Intell. Transp. Syst., 2020)

Stochastic Whitening Batch Normalization. - Shengdong Zhang; Ehsan Nezhadarya; Homa Fashandi; Jiayi Liu 002; Darin Graham; Mohak Shah (CVPR, 2021)

Efficient Coverage Path Planning in Initially Unknown Environments Using Graph Representation. - Olimpiya Saha; Viswanath Ganapathy; Javad Heydari; Guohua Ren; Mohak Shah (ICAR, 2021)

Deep Reinforcement Learning Based Online Area Covering Autonomous Robot. - Olimpiya Saha; Guohua Ren; Javad Heydari; Viswanath Ganapathy; Mohak Shah (ICARA, 2021)

Online Area Covering Robot in Unknown Dynamic Environments. - Olimpiya Saha; Guohua Ren; Javad Heydari; Viswanath Ganapathy; Mohak Shah (ICARA, 2021)

Evolving GANs: When Contradictions Turn into Compliance. - Sauptik Dhar; Javad Heydari; Samarth Tripathi; Unmesh Kurup; Mohak Shah (CoRR, 2021)

A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it. - Viswanath Ganapathy; Sauptik Dhar; Olimpiya Saha; Pelin Kurt Garberson; Javad Heydari; Mohak Shah (CoRR, 2021)

A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective. - Sauptik Dhar; Junyao Guo; Jiayi (Jason) Liu; Samarth Tripathi; Unmesh Kurup; Mohak Shah (ACM Trans. Internet Things, 2021)

The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations. - Ankur Teredesai; Michael Zeller; Mohak Shah; Shenghua Bao; Wee Hyong Tok; Linsey Pang (KDD, 2024)

A Social Outcomes and Priorities centered (SOP) Framework for AI policy. - Mohak Shah (CoRR, 2024)