Mohak Shah - RankMe

62 papers A* 6B 1C 1Misc 2Journal 31Unranked 20

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Social Outcomes and Priorities centered (SOP) Framework for AI policy. CoRR Mohak Shah
2024	A*	`conf`	The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations. KDD Ankur Teredesai, Michael Zeller, Mohak Shah, Shenghua Bao, Wee Hyong Tok, Linsey Pang
2021	J	`jnl`	A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective. ACM Trans. Internet Things Sauptik Dhar, Junyao Guo, Jiayi (Jason) Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2021	J	`jnl`	A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it. CoRR Viswanath Ganapathy, Sauptik Dhar, Olimpiya Saha, Pelin Kurt Garberson, Javad Heydari, Mohak Shah
2021	—	`conf`	Deep Reinforcement Learning Based Online Area Covering Autonomous Robot. ICARA Olimpiya Saha, Guohua Ren, Javad Heydari, Viswanath Ganapathy, Mohak Shah
2021	—	`conf`	Efficient Coverage Path Planning in Initially Unknown Environments Using Graph Representation. ICAR Olimpiya Saha, Viswanath Ganapathy, Javad Heydari, Guohua Ren, Mohak Shah
2021	J	`jnl`	Evolving GANs: When Contradictions Turn into Compliance. CoRR Sauptik Dhar, Javad Heydari, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2021	—	`conf`	Online Area Covering Robot in Unknown Dynamic Environments. ICARA Olimpiya Saha, Guohua Ren, Javad Heydari, Viswanath Ganapathy, Mohak Shah
2021	A*	`conf`	Stochastic Whitening Batch Normalization. CVPR Shengdong Zhang, Ehsan Nezhadarya, Homa Fashandi, Jiayi Liu, Darin Graham, Mohak Shah
2021	J	`jnl`	Stochastic Whitening Batch Normalization. CoRR Shengdong Zhang, Ehsan Nezhadarya, Homa Fashandi, Jiayi Liu, Darin Graham, Mohak Shah
2020	—	`conf`	A Study on the Factors Influencing Behavioral Intention of Indian Consumers in Adopting Voice Assistants. TDIT (1) Dimple Kaul, Mohak Shah, Neeraj Dhakephalkar
2020	—	`conf`	Improving Model Training by Periodic Sampling over Weight Distributions. IEEE BigData Samarth Tripathi, Jiayi Liu, Sauptik Dhar, Unmesh Kurup, Mohak Shah
2020	J	`jnl`	Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Junyao Guo, Unmesh Kurup, Mohak Shah
2020	J	`jnl`	Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey. CoRR Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2020	J	`jnl`	Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization. CoRR Sauptik Dhar, Unmesh Kurup, Mohak Shah
2020	Misc	`conf`	Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize. ICASSP Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah
2019	—	`conf`	Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. IEEE BigData Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2019	J	`jnl`	Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. CoRR Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2019	J	`jnl`	Benchmarking large-scale data management for Internet of Things. J. Supercomput. Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Shaker H. Ali El-Sappagh, Kyung-Sup Kwak, Mohamed H. Ali
2019	J	`jnl`	Concept drift detection and adaptation with hierarchical hypothesis testing. J. Frankl. Inst. Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, Yantao Wei, José C. Príncipe
2019	B	`conf`	Dynamic Task Offloading in Multi-Agent Mobile Edge Computing Networks. GLOBECOM Javad Heydari, Viswanath Ganapathy, Mohak Shah
2019	A*	`conf`	Multiclass Learning from Contradictions. NeurIPS Sauptik Dhar, Vladimir Cherkassky, Mohak Shah
2019	J	`jnl`	On-Device Machine Learning: An Algorithms and Learning Theory Perspective. CoRR Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2019	J	`jnl`	Robust Neural Network Training using Periodic Sampling over Model Weights. CoRR Samarth Tripathi, Jiayi Liu, Unmesh Kurup, Mohak Shah
2019	J	`jnl`	Solve for Good: A Data Science for Social Good Marketplace. SIGKDD Explor. Rayid Ghani, Lisa Green, Alberto Bengoa, Mohak Shah
2019	J	`jnl`	Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize. CoRR Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah
2018	—	`conf`	Distributed NoSQL Data Stores: Performance Analysis and a Case Study. IEEE BigData Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Mohamed H. Ali
2018	J	`jnl`	Effective Building Block Design for Deep Convolutional Neural Networks using Search. CoRR Jayanta K. Dutta, Jiayi Liu, Unmesh Kurup, Mohak Shah
2018	J	`jnl`	Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving. CoRR Junyao Guo, Unmesh Kurup, Mohak Shah
2018	J	`jnl`	Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling. CoRR Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2018	J	`jnl`	Multiclass Universum SVM. CoRR Sauptik Dhar, Vladimir Cherkassky, Mohak Shah
2017	—	`conf`	A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior. BuildSys Seyed Hamid Mirebrahim, Mohammad Shokoohi-Yekta, Unmesh Kurup, Torsten Welfonder, Mohak Shah
2017	J	`jnl`	Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing. CoRR Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, José C. Príncipe
2017	Misc	`conf`	Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction. ICASSP Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah
2017	C	`conf`	Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure. ICMLA Pranjul Yadav, Unmesh Kurup, Mohak Shah
2016	—	`conf`	An architecture for the deployment of statistical models for the big data era. IEEE BigData Juergen Heit, Jiayi Liu, Mohak Shah
2016	—	`conf`	Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics? MLDM Mark Grechanik, Nitin Prabhu, Daniel Graham, Denys Poshyvanyk, Mohak Shah
2016	J	`jnl`	Deep Symbolic Representation Learning for Heterogeneous Time-series Classification. CoRR Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan, Mohak Shah
2016	A*	`ed.`	Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016 KDD Balaji Krishnapuram, Mohak Shah, Alexander J. Smola, Charu C. Aggarwal, Dou Shen, Rajeev Rastogi
2016	J	`jnl`	Universum Learning for Multiclass SVM. CoRR Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky, Mohak Shah
2015	—	`conf`	ADMM based scalable machine learning on Spark. IEEE BigData Sauptik Dhar, Congrui Yi, Naveen Ramakrishnan, Mohak Shah
2015	J	`jnl`	Big Data and the Internet of Things. CoRR Mohak Shah
2015	J	`jnl`	Comparative Study of Caffe, Neon, Theano, and Torch for Deep Learning. CoRR Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah
2012	J	`jnl`	Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields. IEEE Trans. Medical Imaging Zahra Karimaghaloo, Mohak Shah, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2012	J	`jnl`	Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data. IEEE Trans. Pattern Anal. Mach. Intell. Mohak Shah, Mario Marchand, Jacques Corbeil
2011	J	`jnl`	A General Framework for Analyzing Data from Two Short Time-Series Microarray Experiments. IEEE ACM Trans. Comput. Biol. Bioinform. Mohak Shah, Jacques Corbeil
2011	—	`book`	Evaluating Learning Algorithms: A Classification Perspective Nathalie Japkowicz, Mohak Shah
2011	J	`jnl`	Evaluating intensity normalization on MRIs of human brain with multiple sclerosis. Medical Image Anal. Mohak Shah, Yiming Xiao, Nagesh K. Subbanna, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2011	—	`conf`	Exploiting text mining techniques in the analysis of execution traces. ICSM Heidar Pirzadeh, Abdelwahab Hamou-Lhadj, Mohak Shah
2011	—	`conf`	Generalized Agreement Statistics over Fixed Group of Experts. ECML/PKDD (3) Mohak Shah
2011	—	`conf`	Relaxed Exponential Kernels for Unsupervised Learning. DAGM-Symposium Karim T. Abou-Moustafa, Mohak Shah, Fernando De la Torre, Frank P. Ferrie
2010	—	`conf`	Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields. MICCAI (3) Zahra Karimaghaloo, Mohak Shah, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2010	J	`jnl`	Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data CoRR Mohak Shah, Mario Marchand, Jacques Corbeil
2010	J	`jnl`	Learning the set covering machine by bound minimization and margin-sparsity trade-off. Mach. Learn. François Laviolette, Mario Marchand, Mohak Shah, Sara Shanian
2010	—	`conf`	Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis. MLMI Yiming Xiao, Mohak Shah, Simon J. Francis, Douglas L. Arnold, Tal Arbel, D. Louis Collins
2008	—	`conf`	Risk Bounds for Randomized Sample Compressed Classifiers. NIPS Mohak Shah
2007	A*	`conf`	Sample compression bounds for decision trees. ICML Mohak Shah
2006	J	`jnl`	Process-Specific Information for Learning Electronic Negotiation Outcomes. Fundam. Informaticae Mohak Shah, Marina Sokolova, Stan Szpakowicz
2005	—	`conf`	A PAC-Bayes approach to the Set Covering Machine. NIPS François Laviolette, Mario Marchand, Mohak Shah
2005	—	`conf`	Margin-Sparsity Trade-Off for the Set Covering Machine. ECML François Laviolette, Mario Marchand, Mohak Shah
2004	—	`conf`	PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data. NIPS Mario Marchand, Mohak Shah
2003	A*	`conf`	The Set Covering Machine with Data-Dependent Half-Spaces. ICML Mario Marchand, Mohak Shah, John Shawe-Taylor, Marina Sokolova