164 results on '"Shah, Mohak"'
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2. A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it
3. Universum GANs: Improving GANs through contradictions
4. Stochastic Whitening Batch Normalization
5. Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization
6. Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey
7. Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning
8. On-Device Machine Learning: An Algorithms and Learning Theory Perspective
9. Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize
10. Improving Model Training by Periodic Sampling over Weight Distributions
11. Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving
12. Multiclass Universum SVM
13. Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling
14. Effective Building Block Design for Deep Convolutional Neural Networks using Search
15. Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing
16. Deep Symbolic Representation Learning for Heterogeneous Time-series Classification
17. Efficacy of Model Fine-Tuning for Personalized Dynamic Gesture Recognition
18. A Study on the Factors Influencing Behavioral Intention of Indian Consumers in Adopting Voice Assistants
19. Universum Learning for Multiclass SVM
20. Comparative Study of Deep Learning Software Frameworks
21. Big Data and the Internet of Things
22. Benchmarking large-scale data management for Internet of Things
23. Concept drift detection and adaptation with hierarchical hypothesis testing
24. Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data
25. A Study on the Factors Influencing Behavioral Intention of Indian Consumers in Adopting Voice Assistants
26. Big Data and the Internet of Things
27. Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics?
28. Performance Evaluation in Machine Learning
29. Generalized Agreement Statistics over Fixed Group of Experts
30. Relaxed Exponential Kernels for Unsupervised Learning
31. Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis
32. Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields
33. Margin-Sparsity Trade-Off for the Set Covering Machine
34. Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics?
35. Big Data and the Internet of Things
36. Evaluating intensity normalization on MRIs of human brain with multiple sclerosis
37. Efficient Coverage Path Planning in Initially Unknown Environments Using Graph Representation
38. Evaluating Learning Algorithms: A Classification Perspective
39. A Survey of On-Device Machine Learning
40. Stochastic Whitening Batch Normalization
41. Learning the set covering machine by bound minimization and margin-sparsity trade-off
42. Deep Reinforcement Learning Based Online Area Covering Autonomous Robot
43. Online Area Covering Robot in Unknown Dynamic Environments
44. Comparative Analysis of Text Data in Successful Face-to-Face and Electronic Negotiations
45. Functional outcome and patient satisfaction following LASIK surgery
46. Improving Model Training by Periodic Sampling over Weight Distributions
47. Preface
48. Generalized Agreement Statistics over Fixed Group of Experts
49. Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields
50. Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis
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