Mohak Shah

According to our database, Mohak Shah authored at least 54 papers between 2003 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

Evolving GANs: When Contradictions Turn into Compliance.

Sauptik Dhar, Javad Heydari, Samarth Tripathi, Unmesh Kurup, Mohak Shah

CoRR, 2021

Online Area Covering Robot in Unknown Dynamic Environments.

Olimpiya Saha, Guohua Ren, Javad Heydari, Viswanath Ganapathy, Mohak Shah

Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021

Deep Reinforcement Learning Based Online Area Covering Autonomous Robot.

Olimpiya Saha, Guohua Ren, Javad Heydari, Viswanath Ganapathy, Mohak Shah

Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021

Efficient Coverage Path Planning in Initially Unknown Environments Using Graph Representation.

Olimpiya Saha, Viswanath Ganapathy, Javad Heydari, Guohua Ren, Mohak Shah

Proceedings of the 20th International Conference on Advanced Robotics, 2021

Stochastic Whitening Batch Normalization.

Shengdong Zhang, Ehsan Nezhadarya, Homa Fashandi, Jiayi Liu, Darin Graham, Mohak Shah

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization.

Sauptik Dhar, Unmesh Kurup, Mohak Shah

CoRR, 2020

Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey.

Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

CoRR, 2020

A Study on the Factors Influencing Behavioral Intention of Indian Consumers in Adopting Voice Assistants.

Dimple Kaul, Mohak Shah, Neeraj Dhakephalkar

Proceedings of the Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation, 2020

Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize.

Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Improving Model Training by Periodic Sampling over Weight Distributions.

Samarth Tripathi, Jiayi Liu, Sauptik Dhar, Unmesh Kurup, Mohak Shah

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Benchmarking large-scale data management for Internet of Things.

Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Shaker H. Ali El-Sappagh, Kyung-Sup Kwak, Mohamed H. Ali

J. Supercomput., 2019

Solve for Good: A Data Science for Social Good Marketplace.

Rayid Ghani, Lisa Green, Alberto Bengoa, Mohak Shah

SIGKDD Explor., 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

On-Device Machine Learning: An Algorithms and Learning Theory Perspective.

Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

CoRR, 2019

Robust Neural Network Training using Periodic Sampling over Model Weights.

Samarth Tripathi, Jiayi Liu, Unmesh Kurup, Mohak Shah

CoRR, 2019

Multiclass Learning from Contradictions.

Sauptik Dhar, Vladimir Cherkassky, Mohak Shah

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dynamic Task Offloading in Multi-Agent Mobile Edge Computing Networks.

Javad Heydari, Viswanath Ganapathy, Mohak Shah

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning.

Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

Multiclass Universum SVM.

Sauptik Dhar, Vladimir Cherkassky, Mohak Shah

CoRR, 2018

Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling.

Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah

CoRR, 2018

Effective Building Block Design for Deep Convolutional Neural Networks using Search.

Jayanta K. Dutta, Jiayi Liu, Unmesh Kurup, Mohak Shah

CoRR, 2018

Distributed NoSQL Data Stores: Performance Analysis and a Case Study.

Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Mohamed H. Ali

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing.

Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, José C. Príncipe

CoRR, 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

Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure.

Pranjul Yadav, Unmesh Kurup, Mohak Shah

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction.

Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Deep Symbolic Representation Learning for Heterogeneous Time-series Classification.

Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan, Mohak Shah

CoRR, 2016

Universum Learning for Multiclass SVM.

Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky, Mohak Shah

CoRR, 2016

Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics?

Mark Grechanik, Nitin Prabhu, Daniel Graham, Denys Poshyvanyk, Mohak Shah

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

An architecture for the deployment of statistical models for the big data era.

Juergen Heit, Jiayi Liu, Mohak Shah

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Big Data and the Internet of Things.

Mohak Shah

CoRR, 2015

Comparative Study of Caffe, Neon, Theano, and Torch for Deep Learning.

Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah

CoRR, 2015

ADMM based scalable machine learning on Spark.

Sauptik Dhar, Congrui Yi, Naveen Ramakrishnan, Mohak Shah

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

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

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

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

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

Generalized Agreement Statistics over Fixed Group of Experts.

Mohak Shah

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Exploiting text mining techniques in the analysis of execution traces.

Heidar Pirzadeh, Abdelwahab Hamou-Lhadj, Mohak Shah

Proceedings of the IEEE 27th International Conference on Software Maintenance, 2011

Relaxed Exponential Kernels for Unsupervised Learning.

Karim T. Abou-Moustafa, Mohak Shah, Fernando De la Torre, Frank P. Ferrie

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

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

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

Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2008

Risk Bounds for Randomized Sample Compressed Classifiers.

Mohak Shah

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Sample compression bounds for decision trees.

Mohak Shah

Proceedings of the Machine Learning, 2007

2006

Process-Specific Information for Learning Electronic Negotiation Outcomes.

Mohak Shah, Marina Sokolova, Stan Szpakowicz

Fundam. Informaticae, 2006

2005

A PAC-Bayes approach to the Set Covering Machine.

François Laviolette, Mario Marchand, Mohak Shah

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Margin-Sparsity Trade-Off for the Set Covering Machine.

François Laviolette, Mario Marchand, Mohak Shah

Proceedings of the Machine Learning: ECML 2005, 2005

2004

PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data.

Mario Marchand, Mohak Shah

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

The Set Covering Machine with Data-Dependent Half-Spaces.

Mario Marchand, Mohak Shah, John Shawe-Taylor, Marina Sokolova

Proceedings of the Machine Learning, 2003