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ORCID30th COMAD / 12th CODS 2024: Jodhpur, India
- Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD), Jodhpur, India, December 18-21, 2024. ACM 2024, ISBN 979-8-4007-1124-4
Research Track
- Delton Myalil Antony, Imtiyazuddin Shaik, Vivek B. S., Rajan MA, Jayavardhana Gubbi, Sachin Lodha:
Decentralized Inter-Hospital Motor Imagery Detection using Robust Multiparty Model Aggregation. 1-9 - Subhayu Ghosh, Nanda Dulal Jana:
Audio-Visual Speech Synthesis Leveraging Capsule-Enhanced Generative Adversarial Network. 10-18 - Amit Kumar, Ashish Virdi, Nishant Sharma, Armaan Garg, Shashi Shekhar Jha:
AMAF-CD: A Game-Changing Approach for Optimizing Squad Movement in StarCraft. 19-26 - Priyanka Goyal, Adway Mitra, Manjira Sinha:
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution. 27-34 - Darshika Tiwari, Anubha Pandey, Bhushan Chaudhari:
Bias Mitigation through Proxy Sensitive Attribute Label Generation. 35-43 - Dhruv Nigam:
ForeCal: Random Forest-based Calibration for DNNs. 44-51 - Debjyoti Das Adhikary, Aritra Hazra, Partha Pratim Chakrabarti:
ReFrame: Rectification Framework for Image Explaining Architectures. 52-60 - Ishwar Govind, Jerry Thomas, Chandrashekar Lakshminarayanan:
Deployability of Deep Reinforcement Learning in Portfolio Management. 61-65 - Santhosh B. Gandreti, Chandan J., P. S. Sastry:
Efficient Depth-First Search Approach for Mining Frequent Chain Episodes. 66-74 - Shubhajit Datta, Manaar Alam, Arijit Mondal, Debdeep Mukhopadhyay, Partha P. Chakrabarti:
Ignorance is not Bliss: A Novel Ensemble Method to Counter Adversarial Attacks on Deep Learning Models. 75-83 - Vennela Yarabolu, Govind Waghmare, Sonia Gupta, Siddhartha Asthana:
A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation. 84-92 - Gagandeep Singh, Ishan Mishra, Deepak Mishra:
Probabilistic Trust Intervals for Out of Distribution Detection. 93-101 - Rohit Raj Rai, Angana Borah, Amit Awekar:
Application Specific Compression of Deep Learning Models. 102-106 - Rejoy Chakraborty, Chayan Halder, Kaushik Roy, Shivam Gupta, Shashi Shekhar Jha:
MSBNet: Handwritten Bangla Character Recognition Using Lightweight Multi-scale CNN Architecture. 107-115 - Adarsh N. L, Madapu Amarlingam, Divyasheel Sharma:
Collaborative Drift Compensation. 116-124 - Reshma Rastogi, Dev Nirwal:
HyperGraph based Imbalance Multi-label Classification with Label Specific Features. 125-132 - Srestha Sadhu, Deepanwita Mallick, Amrita Namtirtha, Mariana Curado Malta, Animesh Dutta:
LPC: A Local Path-Based Centrality Method for Identifying Influential Nodes in Temporal Networks. 133-141 - Indrajeet Ghosh, Garvit Chugh, Kasthuri Jayarajah, Nirmalya Roy:
β-Decode: Attention-based Decoding Temporal Artifacts via Unsupervised β-Variational Autoencoder. 142-151 - Moumita Ghosh, Pritam Sil, Animesh Dutta:
Imperfect Detection in Heterogeneous Complex Ecological Network: A GNN-based Approach. 152-159 - Vaibhav Shah, Manisha Dubey, Vishnuprasadh Kumaravelu, P. K. Srijith:
Drift-aware Neural Hawkes Process for Time-to-Event Modelling. 160-164
Applied Data Sciences Track
- Arpan Dam, Mayank Shukla, Sayan Pathak, Bivas Mitra:
On the Badge Aware Influence Representation Learning & Influencer Detection in Social Networks. 165-173 - Sudhir R. Shetiya, Shripad Salsingikar, Harshad Khadilkar:
Deep reinforcement learning approach for routing and scheduling of trains at railway station. 174-182 - Kunal Banerjee, Binay Gupta, Meet Maheshwari, Lalitdutt Parsai, Geet Vudata, Soumik Dasgupta, Anirban Chatterjee:
Real-time Anomaly Prediction at Scale using Anomaly Detection Augmented with Regression. 183-191 - Manali Patel, Shreya Goyal, Krupa Jariwala, Chiranjoy Chattopadhyay:
D2CTNet: An Approach to Detect Dynamics of Candlestick charts and Technical indicators for Stock Market. 192-200 - Monachary Kammari, Durga Bhavani S.:
Relevant Article Recommendation by Learning Heterogeneous Network Embedding using GNN. 201-209 - Suryanarayana Reddy Yarrabothula, Vaibhav Kurrey, Mayank Nagar, Gagan Raj Gupta:
Industrial Safety Violation Detection using Action Recognition. 210-219 - Subhadip Nandi, Neeraj Agrawal, Anshika Singh, Priyanka Bhatt:
Enhancing Customer Service Chatbots with Context-Aware NLU through Selective Attention and Multi-task Learning. 220-228 - Oishik Chatterjee, Pooja Aggarwal, Prateeti Mohapatra:
Alert Suppression with Fine-Grained and Coarse-Grained Feedback based Active Learning. 229-233 - George A. Chernishev, Michael Polyntsov, Anton Chizhov, Kirill Stupakov, Ilya Shchuckin, Alexander Smirnov, Maxim Strutovsky, Alexey Shlyonskikh, Mikhail Firsov, Stepan Manannikov, Nikita Bobrov, Daniil Goncharov, Ilia Barutkin, Vadim Yakshigulov, Vladislav Shalnev, Kirill Muraviev, Anna Rakhmukova, Dmitriy Shcheka, Anton Chernikov, Yakov Kuzin, Michael Sinelnikov, Grigorii Abrosimov, Dmitriy Popov, Artem Demchenko, Sergey Belokonny, Liana-Iuliia Soloveva, Yaroslav Kurbatov, Mikhail Vyrodov, Arthur Saliou, Eduard Gaisin, Kirill Smirnov:
Desbordante: from benchmarking suite to high-performance science-intensive data profiler. 234-243 - Bhavesh Kukreja, Aritra Ghosh Dastidar, Radhika Mundra, Kartikey Singh, Javaid Nabi:
Beyond Sentiment: A Multifaceted Review Scoring System for Enhanced Customer Feedback Analysis. 244-251 - Sourav Prosad, Vivek Kundu, Arkadeep Banerjee, Sutanoy Dasgupta, Anusha Mujumdar:
RAPID: Reinforcement Adaptive Policy-tuned Insight Determination for Dynamic User Feedback Analysis. 252-260 - S. Tejaswi, V. N. Sastry, Durga Bhavani S.:
Mobile Application Security Assessment through Large Language Models (LLMs) based on User Reviews. 261-269 - Kriti Bajaj, Ushakiran Mannam, Prasad Deshpande, Yash Patil, Arnab Bhattacharya, Shivam Tripathi:
Forecasting of Fog Index and Prediction Interval using Bayesian Methods. 270-278 - Sujoy Roy Chowdhury, Giriprasad Sridhara, A K. Raghavan, Joy Bose, Sourav Mazumdar, Hamender Singh, Srinivasan Bajji Sugumaran, Ricardo Britto:
Static Program Analysis Guided LLM Based Unit Test Generation. 279-283 - Shamik Bhattacharjee, Nilesh Patil, Kamlesh Marathe, Hitesh Kapoor:
Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning. 284-291 - Nishtha Srivastava, Bhavesh N. Gohil, Suprio Ray:
Road traffic accident severity prediction using causal inference and machine learning. 292-300 - Sagnik Ghosh, Bandana Barman:
Know your Heart : A multimodal pipeline for effective detection and inference of heart diseases. 301-305
Young Researcher Symposium Track
- Shaziya Islam, Gagan Raj Gupta:
MultiChannel and Multiple Device Financial Frauds Detection. 306-308 - Saliq Gowhar, Praveen Kempaiah, Sowmya Kamath S, Vijayan Sugumaran:
Imbalanced Multi-Class Research Article Classification using Sentence Transformers and Machine Learning Algorithms. 309-310 - Ritik Mahajan, Sowmya Kamath S:
Generating Clinically Relevant Radiology Reports using Multimodal Deep Learning Models. 311-313 - Anamika Das, Monalisa Mandal:
Linear Regression for Balancing Feature Relevance and Redundancy with Optimization. 314-316 - Deepmala Chakrabarty, Sujoy Chatterjee, Anirban Mukhopadhyay:
Leveraging Graph-Based Deep Learning for Epidemic Modeling. 317-319 - Sidhaarth S. Murali, Abhin B, Ramya D. Shetty, Shrutilipi Bhattacharjee:
Does Degree Capture It All? A Case Study of Centrality and Clustering in Signed Networks. 320-322 - Rabia Latief Bhat, Iqra Altaf Gillani:
Demand Prediction in Online Food Delivery platforms Using Graph Neural Networks. 323-325 - Darshna Parmar, Pramit Mazumdar:
Knowledge Enrichment for Conversational Recommendations. 326-328 - Arpan Dam:
Topic aware fair representation for finding influential members in social network. 329-331 - Umesh Bhatt, Sarvesh Pandey:
On Designing a Compaction Strategy for Enhanced LevelDB Read Performance. 332-334 - Jhanvi H. Mehta, Muskan Priyadarshani, Aditi Jha, Krishna P. Miyapuram:
Multi Task Learning for Predicting Music Video Clip and Participant Identification from Brain Responses. 335-337 - Arjun Singh Chauhan, Ashu Sharma, Himanshi Bhatia:
An Automatic Pitch Deck Analyzer. 338-340 - Nazreen Shah, Ranjitha Prasad:
Federated Probabilistic Representation Learning using Information Geometric Approach. 341-343 - Shifali Agrahari, Samridhi Bisht, Sanasam Ranbir Singh:
Text Authorship Attribution: Stylometric Insights into Human and LLM-Generated Text. 344-346 - Satish Kumar Keshri, Nazreen Shah, Ranjitha Prasad:
Continual Federated Learning with Aggregated Gradients. 347-349 - Muskan Priyadarshani, Krishna P. Miyapuram:
Predicting Valence and Arousal from Affective Images: A Comparative Analysis of deep learning and Random Forest Regressor. 350-352
Tutorials Track
- Vishnu S. Pendyala:
The impact of Artificial Intelligence on Ecojustice and Ethics. 353-357 - Subba Reddy Oota, Raju Surampudi Bapi:
Language Models and Brain Alignment: Brain Encoding and Decoding. 358-361 - Kamalakar Karlapalem, P. Radha Krishna, Satyanarayana R. Valluri:
Data Fabric Technologies and Applications. 362-365 - Pulkit Singhal, Sheldon Tauro:
File formats for Analytical systems. 366-368 - Gagan Raj Gupta, Dhruv Rajesh Deshmukh, Vishwesh Jatala:
Distributed Graph Neural Networks. 369-372 - Jayant R. Haritsa, Manish Kesarwani:
Relational Database Engines on Quantum Platforms. 373-377 - Parameswaran Selvam, Hima Patel, Saptha Surendran, Shivdeep Singh:
Data preparation for fine tuning Large Language Models. 378-380
Demo Track
- Apurva Kulkarni, Riya Patidar, Srinath Srinivasa, Sanket Patil:
Semantic SDG-Mapper: Browser Extension for Mapping Sustainable Development Goals to Open Webpages. 381-385 - Suman Chowdhury, Yahya Farooq, Rajesh P. Barnwal:
Real-Time Vision-based Scene Classification for Adaptive Behavior in Autonomous Mobile Robots. 386-390 - Sharath Srivatsa, Aparna M, Malavika V, Samarth P, Srinath Srinivasa:
Parichaya: Rural Colloquial Knowledge AI Interface. 391-394 - Swarnava Dey, Soma Dasgupta:
Automatic Generation of Highly Accurate Parameter-optimal Segmentation Models in Precision Agriculture. 395-399 - Deepti Maduskar, Divyasheel Sharma, Shivang Modi:
UQ4Pro: A Demonstration Tool for Uncertainty Quantification in Process Industry Applications. 400-404 - Vineet Kumar, Ronald Tony, Darshita Rathore, Vipasha Rana, Bhuvanesh Mandora, Kanishka, Chetna Bansal, Anindya Moitra:
Genicious: Contextual Few-shot Prompting for Insights Discovery. 405-409 - Sai Kasyap Kamaraju, Jayprasad Hegde, Sandeep Panchal, Tejaswini Gandi, Suraj Shrivastav:
Conversational Payments on UPI Apps: A Pipeline Approach Leveraging ASR and NLP Techniques. 410-416 - Satyam Anand, Deepanshi Seth, Sanjay Agrawal, Debanjan Sadhukhan, Tridib Mukherjee:
Generalized Experiment Conclusion Framework for Extremely Volatile Data. 417-421 - Sonal Singh, Yadunath Gupta, Soudip Roy Chowdhury:
MEQA - A Multi-modal Interactive Enterprise Query Answering System using Multi-Agent LLM. 422-426 - Anshul Kumar, Gagan Raj Gupta, Sunny Kumar, Ankita Sahu, Apu Chakraborty:
What does your Packet Capture say? 427-431
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