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ORCID13th BDA 2025: Bangalore, India
- Rajeev Gupta
, Deepak P, Jun Shen, Srinath Srinivasa, Vinu Ellampallil Venugopal, Uttam Kumar:
Big Data and Artificial Intelligence - 13th International Conference, BDA 2025, Bangalore, India, July 17-20, 2025, Proceedings. Lecture Notes in Computer Science 16041, Springer 2026, ISBN 978-3-032-15133-9
Language Understanding and Interactive AI
- Ritwik Mishra, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Long-Context Non-factoid Question Answering in Indic Languages. 3-18 - Anwar Dilawar Shaikh, Prakrit Garg, Mahisha Ramesh, Ritwik Kashyap, Raghava Mutharaju, Rajiv Ratn Shah:
CommuteQA: Visual Question Answering for Bus Transport. 19-34 - Aayush Badoni, Divyansh Anand Singh, Kapil Vuthoo, Shivansh Singh, Sonia Khetarpaul, L. Venkata Subramaniam:
IndLaw-QA: Fine-Tuned LLMs with RAG for Indian Legal QA. 35-48 - Snehali Biswas, Aman Sagar, Suchi Kumari, Abhishek Soni:
Generative AI-Driven Continuous Monitoring and Management of Diabetes. 49-64
Learning Paradigms and Optimisations
- Robin Chauhan, Aditya Bhardwaj, Ajay Kumar:
Enhancing Credit Risk Prediction Using Stacked Ensemble and Quantum Approaches on PySpark. 67-83 - Prithviraj Purushottam Naik, Rohit Agarwal:
Label, Learn, Enhance: Multimodal Large Language Models-Assisted Annotation and Optimized Classifier Training for Retail Outlet Image Quality Assessment. 84-99 - Akansha Tyagi, Padmanabhan Rajan:
Fusion-Based Reduced Variation Representations for Acoustic Scene Classification. 100-110 - P. Shiridi Kumar, Rage Uday Kiran, P. Krishna Reddy:
A Two-Level Indexing Scheme for Extracting Frequent Patterns with GPUs from Symbolic Sequence Data. 111-126 - Shubham Sharma, Shilpa Chandra, Padmanabhan Rajan:
Robust Spoken Language Identification for Indian Languages Using Phonetic Representations. 127-141
ML Frameworks and System-Level Intelligence
- Ravikant, Abhishek Sengupta, Ravi Tanwar, Vijay Pandey, Jayit Saha, C. Ashwini:
End-To-End Modular Intelligence Through Machine Learning. 145-155 - Shreya Srikant, Shreya Naveen, Aditya Verulkar, V. Shrujan, N. Chaitra:
CycleAware: A Machine Learning Framework for Menstrual Phase Prediction and Athlete Performance Tracking. 156-170 - Anvitha Swaroop, Kritika Prasad, Sonia Khetarpaul:
SiteSense: Optimizing Restaurant Site Selection Using a Comprehensive Data-Driven Framework. 171-187
Deep Learning Architectures and Model Design
- B. S. Bhargava, Sathiya Narayanan:
Enhancing Ocular Disease Diagnosis: An Attention-Guided CNN for Diabetic Retinopathy Detection Using Vision Transformer-Derived Channel Augmentation. 191-205 - Himanshi Srivastava, Uttam Kumar, Sai Shruti Prakhya:
Spatial Attention-Enhanced Dual-Path Skip Connection Siamese Network for Temporal Land Cover Change Detection Using SAR. 206-220
Deep Learning Architecture and Adaptations
- Rajesh Kumar, Suchi Kumari, Kartikeya Pydi, Laxmi Narayana Raavi:
Forecasting Indian Stock Market Prices Using Deep Learning Models. 223-232 - Falisha Umaiza, Abdul Subhan Omeez, N. Manali, Sambhavi, G. P. Purvika, Viraj Nandalikar, K. V. Leelambika:
Transformers vs CNNs in Wheat Disease Prediction: Performance Evaluation. 233-245 - Shreea Bose, Granth Bagadia, Arundhati Bajaj, Chittaranjan Hota:
CNN-BiLSTM Based Deep Neural Architecture for Physiological Anomaly Detection. 246-255 - Ch. Janakamma, Shiramshetty Gouthami, Jose Mary Golamari, G. Ramkrishna Reddy, V. Thirupathi, D. Siva Raja Kumar:
Real-Time Plant Disease Classification Using EfficientNetB3: A Deep Learning Approach for Agricultural Productivity. 256-269
Domain-Specific AI Models
- Somrita Sarkar, Prasenjit Betal, Pabitra Mitra, Anupam Das, Mrinal Jha, Prashant Bisht, Sarthak Sablania, Thakare Vedant Sharadrao:
Agri Buddy: From Queries to Crops with a Context-Aware Agricultural Chatbot. 273-283 - Mandar V. Tabib, Adil Rasheed:
Machine Learning Based Wind and Turbulence Prediction at Urban-Scale for Drone Operations. 284-294 - Mann Khatri, Mirza Yusuf, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Structured Definitions and Segmentations for Legal Reasoning in LLMs: A Study on Indian Legal Data. 295-304 - Vijay Kumar Damera, Deepthi Kalavala:
AgriLLM-India: Empowering Indian Farmers Through Domain-Specific Large Language Models for Agricultural Knowledge and Decision Support. 305-314
Fine-Tuning and Generative Modeling Techniques
- Vedasamhitha Challapalli, Konduru Venkat Sai, Piyush Pratap Singh, Rupesh Prasad, Arvind Maurya, Atul Singh:
SLM4Offer: Personalized Marketing Offer Generation Using Contrastive Learning Based Fine-Tuning. 317-326 - Soma Bandyopadhyay, Sudeshna Sarkar:
Cross-City Next POI Prediction Using a Generative Causal Method. 327-337 - Apurva Kulkarni, Riya Patidar, Srinath Srinivasa:
Sadrusha: An Administrative Data Twin Framework for SDG-Aligned Decision Making. 338-347 - Afnan Ahmad, Preetodeep Dev, Arup Kumar Chattopadhyay, Meenakshi D'Souza:
Extensible Test Automation for Functional Testing of Low-Code ETL Workflows. 348-358 - Deshana Vikas Shah, S. Saravanan:
A Spark-Based Pipeline for Real-Time Multi-Faceted Analysis of Public Sentiment During the Indian Recession. 359-369
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last updated on 2026-03-08 21:57 CET by the dblp team
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