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ORCID29th COMAD / 11th CODS 2024: Bangalore, India
- Sriraam Natarajan, Indrajit Bhattacharya, Richa Singh, Arun Kumar, Sayan Ranu, Kalika Bali, Abinaya K:
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), Bangalore, India, January 4-7, 2024. ACM 2024
Machine Learning
- Pranoy Panda
, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Gaurav Sinha:
Interpretable Model Drift Detection. 1-9 - Soumyadeep Ghosh, Sanjay Kumar, Awanish Kumar, Janu Verma:
A Closer look at Consistency Regularization for Semi-Supervised Learning. 10-17
Data Mining
- Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya:
VeNoM: Approximate Subgraph Matching with Enhanced Neighbourhood Structural Information. 18-26 - Avani Gupta, Avirup Saha, Sambit Ghosh, Neelamadhav Gantayat, Renuka Sindhgatta:
Predicting Business Process Events in Presence of Anomalous IT Events. 27-35 - Santhosh B. Gandreti, Ibrahim A., P. S. Sastry:
Breadth-First Search Approach for Mining Serial Episodes with Simultaneous Events. 36-44 - Pagadala Krishna Murthy, Punit Rathore:
HaVAT: Automatic Cluster Structure Assessment in Unlabeled data. 45-53
Deep Learning
- Shubham Gupta, Srikanta Bedathur:
Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives. 54-63 - Sanjay Kumar Patnala, Sumedh B. G, Akshay Sethi, Sonia Gupta, Siddhartha Asthana:
SGD-MLP: Structure Generation and Distillation using a graph free MLP. 64-72
Reinforcement Learning
- Satheesh Kumar Perepu, Kaushik Dey, Abir Das:
DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents. 73-81 - Richa Verma, Durgesh Kalwar, Harshad Khadilkar, Balaraman Ravindran:
Guiding Offline Reinforcement Learning Using a Safety Expert. 82-90 - Siddharth Nishtala, Balaraman Ravindran:
Cost-Sensitive Trees for Interpretable Reinforcement Learning. 91-99 - Shourya Gupta, Utkarsh Suryaman, Rahul Narava, Shashi Shekhar Jha:
Model-based Safe Reinforcement Learning using Variable Horizon Rollouts. 100-108
Vision
- Vidhya Kamakshi, Narayanan C. Krishnan:
SCE: Shared Concept Extractor to Explain a CNN's Classification Dynamics. 109-117
NLP
- Aatman Vaidya, Seema Nagar, Amit Anil Nanavati:
Analysing the Spread of Toxicity on Twitter. 118-126 - Debayan Mukherjee, Atreya Bandyopadhyay, Soham Datta, Indrajit Bhattacharya:
Semantic Annotation of Relational Schemas Using a Probabilistic Generative Model. 127-135 - Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra:
A Comprehensive Analysis of Adapter Efficiency. 136-154
Database
- Balambiga Ayappane, Rohith Vaidyanathan, Srinath Srinivasa, Santosh Kumar Upadhyaya, Srinivas Vivek:
Consent Service Architecture for Policy-Based Consent Management in Data Trusts. 155-163 - Evgeniy Klyuchikov, Michael Polyntsov, Anton Chizhov, Elena Mikhailova, George A. Chernishev:
Hybrid Materialization in a Disk-Based Column-Store. 164-172
Optimization
- Utkarsh Prakash, Aryan Chollera, Kushagra Khatwani, Prabuchandran K. J., Tejas Bodas:
Practical First-Order Bayesian Optimization Algorithms. 173-181 - Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa:
Preference-Aware Constrained Multi-Objective Bayesian Optimization. 182-191 - 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. 192-201
Short Papers - Machine Learning
- Andrii Krutsylo:
Batch Sampling for Experience Replay. 202-206
Short Papers - Data mining
- Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Joint Class Learning with Self Similarity Projection for EEG Emotion Recognition. 207-211 - Gagan Raj Gupta, Soumajit Pramanik, Milind Kesar Thummala, Anirban Haldar:
Improved Representations using Augmented Graphs. 212-216 - Srini Rohan Gujulla Leel, Vikrant Dey, Puspita Majumdar, Ankit Khairkar:
HierTGAN: Hierarchical Time Series Generation with Aggregation Constraints. 217-221
Short Papers - Vision
- Sandeep Khanna, Shreya Goyal, Chiranjoy Chattopadhyay, Suman Kundu:
CookingINWild: Unleashing the Challenges of Indian Cuisine Cooking Videos for Action Recognition. 222-226
Short Papers - NLP
- Madhusudan Ghosh, Shrimon Mukherjee, Payel Santra, Girish Na, Partha Basuchowdhuri:
BLINKtextsubscriptLSTM: BioLinkBERT and LSTM based approach for extraction of PICO frame from Clinical Trial Text. 227-231 - Ayush Kumar, Abhay M. Shalghar, Harsh Chauhan, Balaji Ganesan, Ritwik Chaudhuri, Aswin Kannan:
Document structure aware Relation Extraction for Semantic Automation. 232-236 - Vikas Kumar, Amisha Bharti, Devanshu Verma, Vasudha Bhatnagar:
Deep dive into language traits of AI-generated Abstracts. 237-241
Short Papers - Machine Learning & Database
- Sandeep Hans, Anupam Sanghi, Diptikalyan Saha:
Tabular Data Synthesis with GANs for Adaptive AI Models. 242-246
Short Papers - Database
- Ahana Pradhan, Srinivas Karthik, Raghunandan S.:
Optimal Query Plans for Geo-distributed Data Analytics at Scale. 247-251
Short Papers - Optimization
- Soumya Sarkar, Nitin Singhal, Shweta Jain, Shashi Shekhar Jha:
CGFLasso: Combating Multicollinearity using Domain Knowledge. 252-256
Applications
- Avirup Saha, Prerna Agarwal, Sambit Ghosh, Neelamadhav Gantayat, Renuka Sindhgatta:
Towards Business Process Observability. 257-265 - Avirup Saha, Sambit Ghosh, Neelamadhav Gantayat, Renuka Sindhgatta:
Forecasting the Impact of Anomalous Events on Business Process Performance. 266-274 - Prajjwal Yash, Sharvari Gundawar, Nitish Kumar, Uma Bhagya Rajasekaraiah, Krishna Priya Ganesan, Purushottam Kar:
Multiforecast-based Early Anomaly Detection for Spacecraft Health Monitoring. 275-283 - Srinivas Arukonda, Ramalingaswamy Cheruku:
A TLBO Based Bagging Approach for Effective Disease Diagnosis. 284-289 - Prakanshul Saxena, Gagan Raj Gupta, Madhur Bhattad:
Multimodal and Multitask Approaches for Cataract Grading. 290-297 - Dharbaneshwer Sj, Gayathri Sowmya G, Sumit Singh Chauhan, Bharat Singh Shekhawat, Lava Kumar, Soumitra Ghosh:
Real-time eye tracking using representation learning and regression. 298-306 - Shruti Sharma, Kriti Bajaj, Prasad Deshpande, Arnab Bhattacharya, Shivam Tripathi:
Short-Term Fog Forecasting using Meteorological Observations at Airports in North India. 307-315 - 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. 316-324 - Jayasree Saha, Rudrabha Mukhopadhyay, Aparna Agrawal, Surabhi Jain, C. V. Jawahar:
An Approach for Speech Enhancement in Low SNR Environments using Granular Speaker Embedding. 325-331
Machine Learning
- Ajay Narayanan, Srinarayana Nagarathinam, Prasant Misra, Arunchandar Vasan:
Multi-agent Reinforcement Learning for Joint Control of EV-HVAC System with Vehicle-to-Building Supply. 332-341 - Krishanu Maity, Amit Tulsidas Chaulwar, Vanraj Vala, Ravi Sankar Guntur:
NanoBERT: An Extremely Compact Language Model. 342-349 - Arnab Chakraborty, Vikas Raturi, Shrutendra Harsola:
BBE-LSWCM: A Bootstrapped Ensemble of Long and Short Window Clickstream Models. 350-358 - Nirmal Singhania, Simant Kumar, Surya Teja Tunuguntla, Alok Mathur, Abhishek Singh:
Domain2Vec: Identifying User Affinities using Domain Embeddings. 359-367 - Rajeev Gupta, Madhusudhanan Krishnamoorthy, Vipindeep Vangala:
Better Graph Embeddings for Enterprise Graphs. 368-374 - Jyotirmoy Banerjee, Sanchit Goel, Sumit Soman, Roopesh Mangal, Sunil Kumar Vuppala:
Cell Tower Localisation using Graph Convolutional Networks and Positional Encoding. 375-383
Machine Learning in Commerce
- Bhavi Chawla, Shubha Shedthikere, Jairaj Sathyanarayana:
New User Product Recommendation for Q-commerce via Hierarchical Cross-Domain Learning. 384-392 - Uma Maheswari G, Srividhya Sethuraman, Sharadha Ramanan:
Contextual Bandits for Online Markdown Pricing for E-commerce. 393-402 - Pranav Chatur, Naman Jain, Varun Trivedi, Ayush Kumar Dhoot, Sakthi Balan Muthiah:
Google Search in India: Unveiling the Geo-Personalized Web. 403-411 - Pulkit Agrawal, Aditya Pareek, Rukma Talwadker, Tridib Mukherjee:
ARGO - An AI Based Responsible Gamification Framework for Online Skill Gaming Platform. 412-421 - Abhinav Upadhyay, Alpana Dubey, Suma Mani Kuriakose:
GIMNet: Assembly Plan Generation from Graphical Instruction Manual. 422-429 - Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Hardik Meisheri, Harshad Khadilkar, Balaraman Ravindran:
A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce. 430-438
Applied Data Science Track- Short Papers
- Saher Soni, Shivam Chaudhary, Krishna Prasad Miyapuram:
Enhancing Motor Imagery based Brain Computer Interfaces for Stroke Rehabilitation. 439-443 - Sudarsun Santhiappan, Mukesh Kumar Reghu, Mahendran Saminathan, Aakash Veerappan:
Speeding up LIME using Attention Weights. 444-448 - Usneek Singh, Piyush Arora, Shamika Ganesan, Mohit Kumar, Siddhant Kulkarni, Salil Rajeev Joshi:
Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset. 449-453 - Sreekanth T. M, Ajith K. John, Rohitashva Sharma, Prathamesh Berde, C. S. R. C. Murthy:
Expertise Identification Using Transformers. 454-458 - Piyush Nikam, Rutvik Vijjali, Shaik Masihullah, Meghana Negi, Jose Mathew:
Utilizing DevNet with Variational Loss for Fraud Detection in Hyperlocal Food Delivery. 459-463 - Saptarshi Misra, Kunal Banerjee, Anirban Chatterjee:
BARGAIN: A Super-Resolution Technique to Gain High-Resolution Images for Barcodes. 464-468 - Rushil Thareja:
Multimodal Sentiment Analysis of Social Media Content and Its Impact on Mental Wellbeing: An Investigation of Extreme Sentiments. 469-473 - Abhinav Upadhyay, Alpana Dubey, Piyush Goenka, Suma Mani Kuriakose:
NMNet: Spatial-Temporal Transformer for EEG Signal Analysis in Neuromarketing. 474-478 - Aditya Kiran Brahma, Srinivas Nagamalla, Jose Mathew, Jairaj Sathyanarayana:
Improving search relevance in a hyperlocal food delivery using language models. 479-483
Tutorials
- Manoj Kumar, Sandeep Kumar:
Unveiling Graph Structures for Machine Learning: Learning, Structuring, and Coarsening. 484-488 - Ashish Mittal, Rudra Murthy V, Vishwajeet Kumar, Riyaz Bhat:
Towards understanding and mitigating the hallucinations in NLP and Speech. 489-492 - Sandhya Tripathi, Christopher Ryan King:
Contrastive learning: Big Data Foundations and Applications. 493-497 - Manoj K. Agarwal:
Building Knowledge Graph for Products at Web Scale. 498-500 - Sahil Sidheekh, Saurabh Mathur, Athresh Karanam, Sriraam Natarajan:
Deep Tractable Probabilistic Models. 501-504 - Himanshu Sharad Bhatt, Sriranjani Ramakrishnan, Sachin Raja, C. V. Jawahar:
Unlocking the Potential of Unstructured Data in Business Documents Through Document Intelligence. 505-509 - Manisha Padala, Sankarshan Damle, Sujit Gujar:
Tutorial on Fair and Private Deep Learning. 510-513
Demonstration Track
- Archisman Bhowmick, Mayank Mishra, Rekha Singhal:
TASCA : Tool for Automatic SCalable Acceleration of ML pipelines✱. 514-518 - Krishna Tulsyan, Tessy Flemin, Ajoy Mondal, C. V. Jawahar:
IndicOCR: A Pipeline for Recognizing Printed Documents for Indian Languages. 519-522 - Ajay Narayanan, Rahul Nair, Kedar Kulkarni:
A city-agnostic framework to determine optimal location and sizing of electric vehicle charge stations. 523-527 - Arnab Chakraborty, Arkadeep Banerjee, Sutanoy Dasgupta, Vikas Raturi, Aditya Soni, Anjali Gupta, Shrutendra Harsola, Vignesh Subrahmaniam:
Navigator: A Gen-AI System for Discovery of Factual and Predictive Insights on Domain-Specific Tabular Datasets. 528-532 - Chandrashekar Ramanathan, Boppana Venkatesh:
STRCUBE - An architecture and Reference Implementation for Streaming Star Schema. 533-537 - Geethu Miriam Jacob, Sagar Sahu, Chisato Ito, Masashi Kawamura, Björn Stenger:
Text2Illustration: Sampling and Composing Creatives With Text. 538-541 - Abhinav Upadhyay, Alpana Dubey, Nitish Bhardwaj, Suma Mani Kuriakose, Ramakrishnan Mohan:
CIGMA: Automated 3D House Layout Generation through Generative Models. 542-546 - Siva Likitha Valluru, Michael Widener, Biplav Srivastava, Sugata Gangopadhyay:
ULTRA: Exploring Team Recommendations in Two Geographies Using Open Data in Response to Call for Proposals. 547-552 - Sharath Srivatsa, Aparna M, Sai Madhavan G, Srinath Srinivasa:
Knowledge Management Framework Over Low Resource Indian Colloquial Language Audio Contents. 553-557 - Venkatesh C, Harshit Oberoi, Anil Goyal, Nikhil Sikka:
RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain. 558-562 - Siddharth Singh, Shyam Ratan, Neerav Mathur, Ritesh Kumar:
Demo of LiFE: A web app for collection, management and annotation of linguistic data. 563-567
Young Researchers' Symposium
- Seshu Kumar Damarla:
Electronic Tongue based Classification of Mineral Water Samples using Gramian Angular Field and Deep SAE. 568-569 - Amartya Chakraborty, Nandini Mukherjee:
Information spread in opinionated social networks. 570-571 - Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, Nandyala Hemachandra:
Online Algorithm for Clustering with Capacity Constraints. 572-573 - Aqsa Ashraf Makhdomi, Iqra Altaf Gillani:
Fair and efficient route recommendation system for ridesharing platforms. 574-575 - Joyita Chakraborty, Biswajit Maity, Dinesh Kumar Pradhan, Subrata Nandi:
CiteDEK: A hybrid EMD-KNN-DTW model for classification of paper citation trajectories. 576-577 - Gautam Reddy, Abhinav Upadhyay, Alpana Dubey, Shubhashis Sengupta, Piyush Goenka:
Act2Code: Generating Sequential Robotic Instructions from Video Demonstration. 578-579 - Aaqib Zahoor, Iqra Altaf Gillani, Janibul Bashir:
TBCELF: Temporal Budget-Aware Influence Maximization. 580-581 - Nidhi Ahlawat, Amit Awekar:
Incremental Isolation Forest to Handle Concept Drift in Anomaly Detection. 582-583 - Aniket Mitra, Vinu E. Venugopal:
Enhancing Region-Based Geometric Embedding for Gene-Disease Associations. 584-585 - Amit Prasad, Rahul Garg, Yogish Sabharwal:
Union of Convex Separators (UCS). 586-587 - Seshu Damarla, Palash Kundu:
CNN and MLR based Multifunction Sensor Development using Piezo-resistive Element. 588-589 - Aisha Aijaz, Raghava Mutharaju, Manohar Kumar, Omkar Chattar, Jainendra Shukla:
An Ontology to Capture Contextual Information to Facilitate Ethical Decision-making in AI Systems. 590-591 - Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur:
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. 592-594 - Dwip Dalal, Anirban Dasgupta:
VPTDrone: Video Processing Toolkit for Smart Surveillance Drone. 595-596 - Zubair Shaban, Ranjitha Prasad:
Enhancing Federated Learning robustness in Wireless Networks. 597-598 - Saikishore Kalloori:
Federated Learning for Cold Start Recommendations. 599-600 - Rohit Raj Rai, Amit Awekar:
Effect of dimensionality change on the bias of word embeddings. 601-602 - Narendra Babu Unnam, Krishna Reddy Polepalli, Amit Pandey, Naresh Manwani:
Text Representation Models based on the Spatial Distributional Properties of Word Embeddings. 603-604 - Gagandeep Kaur, Ranjitha Prasad:
Exploiting Sparsity in Over-parameterized Federated Learning over Multiple Access Channels. 605-606
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