- Avani Gupta
, Avirup Saha, Sambit Ghosh, Neelamadhav Gantayat, Renuka Sindhgatta:
Predicting Business Process Events in Presence of Anomalous IT Events. COMAD/CODS 2024: 27-35 - Shourya Gupta, Utkarsh Suryaman, Rahul Narava, Shashi Shekhar Jha:
Model-based Safe Reinforcement Learning using Variable Horizon Rollouts. COMAD/CODS 2024: 100-108 - Sandeep Hans, Anupam Sanghi, Diptikalyan Saha:
Tabular Data Synthesis with GANs for Adaptive AI Models. COMAD/CODS 2024: 242-246 - Geethu Miriam Jacob, Sagar Sahu, Chisato Ito, Masashi Kawamura, Björn Stenger:
Text2Illustration: Sampling and Composing Creatives With Text. COMAD/CODS 2024: 538-541 - Ayush Jain, Manikandan Padmanaban, Jagabondhu Hazra, Shantanu Godbole, Komminist Weldemariam:
A Framework for Emission Reduction in Scope 3 Climate Actions using Domain-adapted Foundation Model. COMAD/CODS 2024: 316-324 - Saikishore Kalloori:
Federated Learning for Cold Start Recommendations. COMAD/CODS 2024: 599-600 - Vidhya Kamakshi, Narayanan C. Krishnan:
SCE: Shared Concept Extractor to Explain a CNN's Classification Dynamics. COMAD/CODS 2024: 109-117 - Gagandeep Kaur, Ranjitha Prasad:
Exploiting Sparsity in Over-parameterized Federated Learning over Multiple Access Channels. COMAD/CODS 2024: 605-606 - Sandeep Khanna, Shreya Goyal, Chiranjoy Chattopadhyay, Suman Kundu:
CookingINWild: Unleashing the Challenges of Indian Cuisine Cooking Videos for Action Recognition. COMAD/CODS 2024: 222-226 - Evgeniy Klyuchikov, Michael Polyntsov, Anton Chizhov, Elena Mikhailova, George A. Chernishev:
Hybrid Materialization in a Disk-Based Column-Store. COMAD/CODS 2024: 164-172 - Andrii Krutsylo:
Batch Sampling for Experience Replay. COMAD/CODS 2024: 202-206 - Vikas Kumar, Amisha Bharti, Devanshu Verma, Vasudha Bhatnagar:
Deep dive into language traits of AI-generated Abstracts. COMAD/CODS 2024: 237-241 - Manoj Kumar, Sandeep Kumar:
Unveiling Graph Structures for Machine Learning: Learning, Structuring, and Coarsening. COMAD/CODS 2024: 484-488 - Ayush Kumar, Abhay M. Shalghar, Harsh Chauhan, Balaji Ganesan, Ritwik Chaudhuri, Aswin Kannan:
Document structure aware Relation Extraction for Semantic Automation. COMAD/CODS 2024: 232-236 - Srini Rohan Gujulla Leel, Vikrant Dey, Puspita Majumdar, Ankit Khairkar:
HierTGAN: Hierarchical Time Series Generation with Aggregation Constraints. COMAD/CODS 2024: 217-221 - Sreekanth T. M, Ajith K. John, Rohitashva Sharma, Prathamesh Berde, C. S. R. C. Murthy:
Expertise Identification Using Transformers. COMAD/CODS 2024: 454-458 - Krishanu Maity, Amit Tulsidas Chaulwar, Vanraj Vala, Ravi Sankar Guntur:
NanoBERT: An Extremely Compact Language Model. COMAD/CODS 2024: 342-349 - Aqsa Ashraf Makhdomi, Iqra Altaf Gillani:
Fair and efficient route recommendation system for ridesharing platforms. COMAD/CODS 2024: 574-575 - Saptarshi Misra, Kunal Banerjee, Anirban Chatterjee:
BARGAIN: A Super-Resolution Technique to Gain High-Resolution Images for Barcodes. COMAD/CODS 2024: 464-468 - Aniket Mitra, Vinu E. Venugopal:
Enhancing Region-Based Geometric Embedding for Gene-Disease Associations. COMAD/CODS 2024: 584-585 - Ashish Mittal, Rudra Murthy V, Vishwajeet Kumar, Riyaz Bhat:
Towards understanding and mitigating the hallucinations in NLP and Speech. COMAD/CODS 2024: 489-492 - Debayan Mukherjee, Atreya Bandyopadhyay, Soham Datta, Indrajit Bhattacharya:
Semantic Annotation of Relational Schemas Using a Probabilistic Generative Model. COMAD/CODS 2024: 127-135 - Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra:
A Comprehensive Analysis of Adapter Efficiency. COMAD/CODS 2024: 136-154 - Pagadala Krishna Murthy, Punit Rathore:
HaVAT: Automatic Cluster Structure Assessment in Unlabeled data. COMAD/CODS 2024: 45-53 - Manjyot Singh Nanra, Sharanya Saha, Ashutosh Kumar Shukla, Sachchida Nand Tripathi, Purushottam Kar:
Robust Shape-regularized Non-negative Matrix Factorization for Real-time Source Apportionment. COMAD/CODS 2024: 192-201 - Ajay Narayanan, Rahul Nair, Kedar Kulkarni:
A city-agnostic framework to determine optimal location and sizing of electric vehicle charge stations. COMAD/CODS 2024: 523-527 - Ajay Narayanan, Srinarayana Nagarathinam, Prasant Misra, Arunchandar Vasan:
Multi-agent Reinforcement Learning for Joint Control of EV-HVAC System with Vehicle-to-Building Supply. COMAD/CODS 2024: 332-341 - Piyush Nikam, Rutvik Vijjali, Shaik Masihullah, Meghana Negi, Jose Mathew:
Utilizing DevNet with Variational Loss for Fraud Detection in Hyperlocal Food Delivery. COMAD/CODS 2024: 459-463 - Siddharth Nishtala, Balaraman Ravindran:
Cost-Sensitive Trees for Interpretable Reinforcement Learning. COMAD/CODS 2024: 91-99 - Manisha Padala, Sankarshan Damle, Sujit Gujar:
Tutorial on Fair and Private Deep Learning. COMAD/CODS 2024: 510-513
