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ORCID26th COMAD / 8th CODS 2021: Bangalore, India
- Jayant R. Haritsa, Shourya Roy, Manish Gupta, Sharad Mehrotra, Balaji Vasan Srinivasan, Yogesh Simmhan:
CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, Virtual Event, Bangalore, India, January 2-4, 2021. ACM 2021, ISBN 978-1-4503-8817-7
Research Track - Applications
- Monidipa Das
, Soumya K. Ghosh:
Analyzing Impact of Climate Variability on COVID-19 Outbreak: A Semantically-enhanced Theory-guided Data-driven Approach. 1-9 - Anant Khandelwal:
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity. 10-19
Research Track - Classification and Clustering
- Srijita Das, Rishabh K. Iyer, Sriraam Natarajan:
A Clustering based Selection Framework for Cost Aware and Test-time Feature Elicitation. 20-28 - Sudarsun Santhiappan, Balaraman Ravindran:
A semi-supervised approach to growing classification trees. 29-37 - Maanik Arora, Naresh Manwani:
Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels. 38-46
Research Track - Databases
- Ashish R. Mittal, Diptikalyan Saha, Parag Jain, Jaydeep Sen, Manasa Jammi, Karthik Sankaranarayanan:
Bootstrapping Chatbot Interfaces to Databases. 47-55 - Bikash Chandra, Ananyo Banerjee, Udbhas Hazra, Mathew Joseph, S. Sudarshan:
Edit Based Grading of SQL Queries. 56-64 - Debayan Mukherjee, Atreya Bandyopadhyay, Rajdip Chowdhury, Indrajit Bhattacharya:
Learning Knowledge Graph for Target-driven Schema Matching. 65-73 - Asma Rani, Navneet Goyal, Shashi K. Gadia:
Provenance Framework for Twitter Data using Zero-Information Loss Graph Database. 74-82 - Swastik Haldar, Philips George John, Diptikalyan Saha:
Reliable Counterfactual Explanations for Autoencoder based Anomalies. 83-91
Research Track - Deep Learning
- Ragja Palakkadavath, P. K. Srijith:
Bayesian Generative Adversarial Nets with Dropout Inference. 92-100 - Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar:
Deep Domain Adaptation under Label Scarcity. 101-109 - Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan:
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning. 110-118 - Azhar Shaikh, Nishant Sinha:
Learn to Bind and Grow Neural Structures. 119-126
Research Track - Graphs and Networks
- Iqra Altaf Gillani, Amitabha Bagchi, Sayan Ranu:
A Group-to-Group Version of Random Walk Betweenness Centrality. 127-135 - Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh, Asit Kumar Das:
Uncovering patterns in heavy-tailed networks : A journey beyond scale-free. 136-144
Research Track - Multimedia
- Jitender Singh Virk, Deepti R. Bathula:
Domain-Specific, Semi-Supervised Transfer Learning for Medical Imaging. 145-153 - Dhananjay Sonawane, Krishna Prasad Miyapuram, Bharatesh RS, Derek J. Lomas:
GuessTheMusic: Song Identification from Electroencephalography response. 154-162
Research Track - Natural Language Processing
- Avinash Kumar, Vishnu Teja Narapareddy, Pranjal Gupta, Veerubhotla Aditya Srikanth, Lalita Bhanu Murthy Neti, Aruna Malapati:
Adversarial and Auxiliary Features-Aware BERT for Sarcasm Detection. 163-170 - Sushant Dave, Arun Kumar Singh, Prathosh A. P., Brejesh Lall:
Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language. 171-177 - Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C. V. Jawahar:
Revisiting Low Resource Status of Indian Languages in Machine Translation. 178-187
Research Track (Short Papers) - Applications
- Vijay Arya, Karthikeyan Shanmugam, Pooja Aggarwal, Qing Wang, Prateeti Mohapatra, Seema Nagar:
Evaluation of Causal Inference Techniques for AIOps. 188-192 - Avirup Mukherjee, Madhumita Mallick, Sandip Chakraborty, Niloy Ganguly:
Unsupervised Topology Assessment in Smart Homes. 193-197
Research Track (Short Papers) - Classification and Clustering
- Deep Sahni, Satya Jayadev Pappu, Nirav P. Bhatt:
Aided Selection of Sampling Methods for Imbalanced Data Classification. 198-202 - Sugam Garg, Harichandana SS, Sumit Kumar:
On-Device Document Classification using multimodal features. 203-207
Research Track (Short Papers) - Databases
- Maria Angela Pellegrino, Luca Postiglione, Vittorio Scarano:
Detecting Data Accuracy Issues in Textual Geographical Data by a Clustering-based Approach. 208-212 - G. S. S. Aditya Sairam, Parasuram Kolli, Anudeep Immidisetty, Pranav Kumar, Madhu Sudhan B, Malay Bhattacharyya:
Scalable Database Normalization Powered by the Crowd. 213-217 - Sailaja Rajanala, Manish Singh:
View Based Review Exploration. 218-222
Research Track (Short Papers) - Deep Learning
- K. R. Prajwal, C. V. Jawahar:
Data-Efficient Training Strategies for Neural TTS Systems. 223-227 - Yash Jain, Anurag Roy:
Distributed representation of tags for Active Zero Shot learning. 228-232 - Sanket Mishra, Rohit Dwivedula, Varad Kshirsagar, Chittaranjan Hota:
Robust Detection of Network Intrusion using Tree-based Convolutional Neural Networks. 233-237
Research Track (Short Papers) - Multimedia
- Surabhi S. Nath, Vishaal Udandarao, Jainendra Shukla:
It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment. 238-242 - Athul Thaliyachira Reji, Shashi Shekhar Jha, Ekta Singla:
On Camera Pose Estimation for 3D Scene Reconstruction. 243-247
Research Track (Short Papers) - Natural Language Processing
- Shyam Kumar V. N, Chaitali Diwan, Srinath Srinivasa, Prasad Ram:
Creating Navigable Competency Maps from Learning Resource Corpora. 248-252 - Manish Singh, Manish Shrivastava:
Fusion of Intrinsic & Extrinsic Sentential Traits for Text Coherence Assessment. 253-256 - Aditya Kiran Brahma, Prathyush Potluri, Meghana Kanapaneni, Sumanth Prabhu, Sundeep Teki:
Identification of Food Quality Descriptors in Customer Chat Conversations using Named Entity Recognition. 257-261 - M. Saravanan, Satheesh K. Perepu:
Intelligent Question Answering using Knowledge Representation for Managed Services. 262-266 - P. Jayashree, Ballijepalli Shreya, P. K. Srijith:
Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence. 267-271
Industry Track
- Omkar Shelke, Vinita Baniwal, Harshad Khadilkar:
Anticipatory Decisions in Retail E-Commerce Warehouses using Reinforcement Learning. 272-280 - Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee, Kushagra Manglik, Satyam Dwivedi, Vikas Raykar:
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail. 281-289 - Vaishnavi Muralidharan, Nandan Sudarsanam, Balaraman Ravindran:
Inferring customer occupancy status in for-hire vehicles using PU Learning. 290-298 - Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran:
Is it hard to learn a classifier on this dataset? 299-306 - Jithin Mathews, Priya Mehta, K. Suryamukhi, Ch. Sobhan Babu:
Link prediction techniques to handle tax evasion. 307-315 - Ritwik Prashant Moghe, Sunil Rathee, Bharath Nayak, Kranthi Mitra Adusumilli:
Machine Learning based Batching Prediction System for Food Delivery. 316-322 - Pooja Aggarwal, Sahil Bansal, Prateeti Mohapatra, Atul Kumar:
Mining Domain-specific Component-Action Links for Technical Support Documents. 323-331 - Bhanupriya Pegu, Maneet Singh, Kamal Kant, Karamjit Singh, Tanmoy Bhowmik:
MoDest: Multi-module Design Validation for Documents. 332-340 - Jaydeep Sen, Diptikalyan Saha, Ashish R. Mittal, Karthik Sankaranarayanan:
Optimizing Interpretation Generation in Natural Language Query Answering for Real Time End Users. 341-349 - Sumanta Mukherjee, Krishnasuri Narayanam, Nupur Aggarwal, Digbalay Bose, Amith Singhee:
Robust resource demand estimation using hierarchical Bayesian model in a distributed service system. 350-358 - Subba Reddy Oota, Nafisur Rahman, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu:
Wound and Episode Level Readmission Risk or Weeks to Readmit: Why do patients get readmitted? How long does it take for a patient to get readmitted? 359-365
Demonstration Track
- Rohit Bhiogade, Paridhi Jain, Himanshu S. Bhatt:
AART: AI Assisted Review Tool for Marketing Creatives. 366-370 - Aitik Gupta, Aadit Agarwal:
ActiveNet: A computer-vision based approach to determine lethargy. 371-375 - Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360 Toolkit. 376-379 - Vatsal Patel, Sarth Kanani, Tapan Pathak, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
An Intelligent Doorbell Design Using Federated Deep Learning. 380-384 - Jayati Deshmukh, Raksha Pavagada Subbanarasimha, Pooja Bassin, Venkat Suprabath Bitra, Srinath Srinivasa, Anupama Sharma:
An Interactive Simulator for COVID-19 Trend Analysis. 385-389 - Asha Subramanian, Aneek Das Bhowmik, Gunjan Pattnayak, Vikkurthi Manikanta, Akshay K. S:
Analysis and Prioritisation of Potential Gene Variants Powered by Semantic Intelligence. 390-394 - Aninda Sukla, Abir Naskar, Tushar Goel, Suyash Sangwan, Akshara Rai, Mohammad Shakir, Ishan Verma, Tirthankar Dasgupta, Lipika Dey:
Concept Driven Search and Visualization System for Exploring Scientific Repositories. 395-399 - Palak Jain, Tushar Goel, Ishan Verma, Mohammad Shakir, Lipika Dey, Geetika Sharma:
Extracting Tabular data for Question-Answering from Documents. 400-404 - Sriram S. K, Nishant Sinha:
Gestop: Customizable Gesture Control of Computer Systems. 405-409
Young Researchers' Symposium - Machine Learning and Applications
- Prahlad Koratamaddi, Karan Wadhwani, Mridul Gupta, Sriram G. Sanjeevi:
A Multi-Agent Reinforcement Learning Approach for Stock Portfolio Allocation. 410 - Nihal Rao, Nishant Sinha:
An Integrated Method for Realtime 2D Hand Pose Detection. 411 - Sumit Kumar, Raj Ratn Pranesh, Ambesh Shekhar:
Biomedical Network Link Prediction using Neural Network Graph Embedding. 412 - Atmadeep Banerjee:
Combinets v2: Improving Conceptual Expansion using SGD. 413 - Anirudh Kasturi, Atharva Sune, Chittaranjan Hota:
Decentralized Learning with GANs. 414 - Harshil Jain, Rohit Patil, Jethva Utsav, Ronak Kaoshik, Shaurya Agarawal, Ritik Dutta, Nipun Batra:
Generative Fashion for Indian Clothing. 415 - Shivani Tripathi:
Learning-based Declarative Query Optimization. 416 - Radhakrishnan Maivizhi, Palanichamy Yogesh:
Linear Discriminant Analysis for Data Aggregation in Big Data Wireless Sensor Networks. 417 - Supratim Shit:
ℓp Subspace Embedding in Input Sparsity Time. 418 - Nikhil Shah, Apoorve Singhal, Chinmay Singh, Yash Khandelwal:
Model Agnostic Information Biasing for VQA. 419 - Aarchi Agrawal, Athulkumar R, K. S. Ashin Shanly, Kavita Vaishnaw, Mayank Singh:
Reverse Dictionary Using an Improved CBoW Model. 420 - Parit Mehta, Rudresh Dwivedi, Ciaran Feeney, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
Towards Designing an Explainable-AI based Solution for Livestock Mart Industry. 421
Young Researchers' Symposium - NLP and Recommender Systems
- Anmol Goel, Ponnurangam Kumaraguru:
A Geometric Measure of Polysemy in Hindi Language. 422 - Ronak Kaoshik, Rohit Patil, Prakash R, Shaurya Agarawal, Naman Jain, Mayank Singh:
ACL-SQL: Generating SQL Queries from Natural Language. 423 - Tharaniya Sairaj R, S. R. Balasundaram:
An Entailment Analysis Based Entity Mapping To Improve Automatic Question Generation. 424 - Sankar Kumar Mridha:
Appropriate Co-worker Recommendation in Crowdsourcing. 425 - N. Sangita Achary, Bidyut Kumar Patra:
Graph Based Hybrid Approach for Long-Tail Item Recommendation in Collaborative Filtering. 426 - Saketh Vishnubhatla, Nishant Sinha:
Image Captioning with Pretrained Language Generators. 427 - Pramit Bhattacharyya, Raghava Mutharaju:
OntoSeer: A Tool to Ease the Ontology Development Process. 428 - Mohamed Shamir, Arpit Kaushal, Kalyan Reddy, Kavita Vaishnaw, Mayank Singh:
Review Based Recommendations with Human-like Reasons. 429 - Poojitha Maheshappa, Binny Mathew, Punyajoy Saha:
Using Knowledge Graphs to improve Hate Speech Detection. 430 - Emil Biju:
Vocabulary-constrained Question Generation with Rare Word Masking and Dual Attention. 431
Young Researchers' Symposium - Socially Relevant Data Analysis
- Nayana Bannur, Harsh Maheshwari, Sansiddh Jain, Shreyas Shetty, Srujana Merugu, Alpan Raval:
Adaptive COVID-19 Forecasting via Bayesian Optimization. 432 - Satanik Mitra, Mamata Jenamani:
An Approach to Identify Provocative and Problematic Content with Social Nociceptor. 433 - Saransh Khandelwal, Aurobinda Routray:
An Epidemic Model of social and political campaigns on Twitter. 434 - Mihir Jain, Tanmay Sharma, Aman, Shruti Singh, Mayank Singh:
Genealogical Tree Construction of Research Paper. 435 - Akshara P, Shidharth S, Gokul S. Krishnan, Sowmya Kamath S.:
Integrating Structured and Unstructured Patient Data for ICD9 Disease Code Group Prediction. 436 - Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset. 437 - Soundarya Krishnan, Rishab Khincha, Neena Goveas:
Network Community Analysis Based Enhancement of Online Discussion Forums. 438 - Rohit Kumar Kaliyar, Pallavi Dash, Lakshaga Jyothi M:
RUEvaL20: Improving Rumour Detection on Social Media using a Deep Convolutional Neural Network. 439 - Moumita Basu, Sipra Das Bit, Saptarshi Ghosh:
Utilising Social Media for Post-Disaster Resource Allocation. 440
Tutorials
- V. G. Vinod Vydiswaran, Xinyan Zhao, Deahan Yu:
Data Science and Natural Language Processing to Extract Information from Clinical Narratives. 441-442 - Parth Nagarkar, Arnab Bhattacharya, Omid Jafari:
Exploring State-of-the-Art Nearest Neighbor (NN) Search Techniques. 443-446 - Sandya Mannarswamy, Saravanan Chidambaram:
Opening the NLP Blackbox - Analysis and Evaluation of NLP Models: Methods, Challenges and Opportunities. 447-448 - Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Trustworthy AI. 449-453
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