Mohak Shah
Orcid: 0000-0003-0409-1563Affiliations:
- LG Silicon Valley Lab, Santa Clara, USA
- Bosch
According to our database1,
Mohak Shah
authored at least 56 papers
between 2003 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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On csauthors.net:
Bibliography
2024
The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2021
A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective.
ACM Trans. Internet Things, 2021
CoRR, 2021
Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021
Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021
Efficient Coverage Path Planning in Initially Unknown Environments Using Graph Representation.
Proceedings of the 20th International Conference on Advanced Robotics, 2021
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.
IEEE Trans. Intell. Transp. Syst., 2020
CoRR, 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey.
CoRR, 2020
A Study on the Factors Influencing Behavioral Intention of Indian Consumers in Adopting Voice Assistants.
Proceedings of the Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
J. Supercomput., 2019
J. Frankl. Inst., 2019
CoRR, 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
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.
CoRR, 2018
Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling.
CoRR, 2018
CoRR, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
CoRR, 2017
A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior.
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.
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.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
CoRR, 2016
Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics?
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
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.
IEEE Trans. Medical Imaging, 2012
Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2012
2011
A General Framework for Analyzing Data from Two Short Time-Series Microarray Experiments.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Medical Image Anal., 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the IEEE 27th International Conference on Software Maintenance, 2011
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.
Mach. Learn., 2010
Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Proceedings of the Machine Learning, 2007
2006
Fundam. Informaticae, 2006
2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Machine Learning: ECML 2005, 2005
2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
2003
Proceedings of the Machine Learning, 2003