593 results on '"Ojha, Varun"'
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152. An Evolutionary Approach to Feature Selection and Classification
153. A Data-Driven Monitoring Approach for Diagnosing Quality Degradation in a Glass Container Process
154. U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration
155. Co-imagination of Behaviour and Morphology of Agents
156. 'It Looks All the Same to Me': Cross-Index Training for Long-Term Financial Series Prediction
157. Comparative Analysis of Machine Learning Models for Time-Series Forecasting of Escherichia Coli Contamination in Portuguese Shellfish Production Areas
158. ProVolOne – Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis
159. The Price of Data Processing: Impact on Predictive Model Performance
160. Bilevel Optimization by Conditional Bayesian Optimization
161. A 3D Terrain Generator: Enhancing Robotics Simulations with GANs
162. A FastMap-Based Framework for Efficiently Computing Top-K Projected Centrality
163. Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text
164. Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning
165. Few-Shot Learning for Character Recognition in Persian Historical Documents
166. Solving Continuous Optimization Problems with a New Hyperheuristic Framework
167. Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region
168. Reward Shaping for Job Shop Scheduling
169. Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data
170. Path-Weights and Layer-Wise Relevance Propagation for Explainability of ANNs with fMRI Data
171. Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes
172. What Song Am I Thinking Of?
173. A Radically New Theory of How the Brain Represents and Computes with Probabilities
174. Towards an Interpretable Functional Image-Based Classifier: Dimensionality Reduction of High-Density Diffuse Optical Tomography Data
175. Decision-Making over Compact Preference Structures
176. Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning
177. On Ensemble Learning for Mental Workload Classification
178. Diversity in Deep Generative Models and Generative AI
179. Sensitivity Analysis for Feature Importance in Predicting Alzheimer’s Disease
180. User-Like Bots for Cognitive Automation: A Survey
181. On Channel Selection for EEG-Based Mental Workload Classification
182. A Proximal Algorithm for Network Slimming
183. Deep Learning Model of Two-Phase Fluid Transport Through Fractured Media: A Real-World Case Study
184. Social Media Analysis: The Relationship Between Private Investors and Stock Price
185. LSTM Noise Robustness: A Case Study for Heavy Vehicles
186. Geolocation Risk Scores for Credit Scoring Models
187. Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code
188. Learning Graph Configuration Spaces with Graph Embedding in Engineering Domains
189. A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions
190. PROS-C: Accelerating Random Orthogonal Search for Global Optimization Using Crossover
191. Solving Mixed Influence Diagrams by Reinforcement Learning
192. Reinforcement Learning for Multi-Neighborhood Local Search in Combinatorial Optimization
193. Application of Multi-agent Reinforcement Learning to the Dynamic Scheduling Problem in Manufacturing Systems
194. Evaluation of Selected Autoencoders in the Context of End-User Experience Management
195. Multi-scale Heat Kernel Graph Network for Graph Classification
196. Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation
197. Ensemble Clustering for Boundary Detection in High-Dimensional Data
198. Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison
199. A Hybrid Steady-State Genetic Algorithm for the Minimum Conflict Spanning Tree Problem
200. SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization
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