Accepted Papers

Full Paper

• Neural Networks at a Fraction with Pruned Quaternions
  Sahel Mohammad Iqbal and Subhankar Mishra
• Active Feature Acquisition via Human Interaction in Relational domains
  Nandini Ramanan, Phillip Odom, Kristian Kersting and Sriraam Natarajan
• Efficient Depth-First Search Approach for Mining Injective General Episodes
  Santhosh B. Gandreti and Sastry P. S.
• Retro-KD: Past States for Regularizing Targets in Teacher-Student Learning
  Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy and Vineeth N Balasubramanian
• Query-Focused Re-Ranking to Enhance the Performance of Text Entailment and Question Answering
  Vikanksh Nath, Vipul Chauhan and Lipika Dey
• BRR-QA: Boosting Ranking and Reading in Open-Domain Question Answering
  Manish Singh and Manish Shrivastava
• Generalized Structured Low-Rank Tensor Learning
  Jayadev Naram, Tanmay Sinha and Pawan Kumar
• Aspect-Sentiment-based Opinion Summarization using Multiple Information Sources
  Tejpal singh Siledar, Jigar Makwana and Pushpak Bhattacharyya
• Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases
  Garima Gaur, Rajat Singh, Siddhant Arora, Vinayak Gupta and Srikanta Bedathur
• LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval
  Dwijesh Gohil, Shivangi Bithel and Srikanta Bedathur
• Solving age-word problems using domain ontology and BERT
  Akshay Gupta, Suresh Kumar and Sreenivasa Kumar P
• Gradient Perturbation-based Efficient Deep Ensembles
  Amit Chandak, Purushottam Kar and Piyush Rai

Poster

• A workload-driven approach for automatic schema generation for document stores
  Neha Bansal, Shelly Sachdeva and Lalit K Awasthi
• Robust Covariance Matrix Estimation using Random Matrix Theory
  Samruddhi Deshmukh, Amartansh Dubey and Ross Murch
• A Resource Adaptive Secure Aggregation Protocol for Federated Learning based Urban Sensing Systems
  Sparsh Gupta, Ayshika Kapoor and Dheeraj Kumar
• Machine versus Human Attention: A comparative study of different transfer learning models
  Puja Banerjee, Siddhartha Raj and Dr. Rajesh P. Barnwal
• Extracting Schema Variants from JSON Collections using JSVTree
  Uma Priya D and P. Santhi Thilagam
• Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation
  Shubham Jain and P.K. Srijith
• Relation Classification Model Performance as a Function of Dataset Label Noise
  Akshay Parekh, Ashish Anand and Amit Awekar

Short Paper

• Missing Data Resilient Ensemble Subspace Decision Tree Classifier
  Sairam Utukuru, Radha Krishna Pisipati and Kamalakar Karlapalem
• Explainable Data Imputation using Constraints
  Sandeep Hans, Diptikalyan Saha and Aniya Aggarwal
• Contrastive Experience Replay for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning
  Harshad Khadilkar and Hardik Meisheri
• Surface Name Errors in Wikipedia
  Anuj Khare and Amit Awekar
• Accelerating Computer Vision Tasks on GPUs using Ramanujan Graph Product Framework
  Furqan Ahmed Shaik, Thejasvi Konduru, Girish Varma and Kishore Kothapalli
• Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior
  Avirup Saha and Balaji Ganesan

Full Paper

• Customer informatics by Embedding SMS Headers
  Surya Teja Tunuguntla, Arpan Shrivastava, Alok Mathur, Abhay Shukla and Dipyaman Banerjee
• Global Explanations for Multivariate time series models
  Vijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan and Tony Tang
• Towards Automated Assessment of Organizational Cybersecurity Posture in Cloud
  Roy Bar-Haim, Lilach Eden, Yoav Kantor, Vikas Agarwal, Mark Devereux, Nisha Gupta, Arun Kumar, Matan Orbach and Michael Zan
• Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce
  Pranavi Pathakota, Kunwar Zaid, Anulekha Dhara, Hardik Meisheri, Shaun D'Souza, Dheeraj Shah and Harshad Khadilkar
• Agent-based Learning Approach to Electric Vehicle Routing Problem with Vehicle-to-Grid Supply and Battery Swapping
  Ajay Narayanan, Prasant Misra, Ankush Ojha, Abhinav Gupta, Supratim Ghosh and Arunchandar Vasan
• Paradigm shift in Nutritional Science: Using Machine Learning to Predict Macro-nutrient Requirements
  Balamurali A R, Pratyush Pathnaik, Junaid Ahmed, Shanthi Lakshmi, Bhawna Sati and Rahul Ranganathan
• FloorGAN: Generative Network for Automated Floor Layout Generation
  Abhinav Upadhyay, Alpana Dubey, Suma Mani Kuriakose and Shaurya Agarawal

Short Paper

• Paddy Doctor: A Visual Image Dataset for Paddy Disease Classification and Benchmarking
  Petchiammal A, Briskline Kiruba S, Murugan D and Pandarasamy A
• Event Uncertainty using Ensemble Neural Hawkes Process
  Manisha Dubey, Ragja Palakkadavath and P.K. Srijith
• Designing a Vision Transformer based Enhanced Text Extractor from Product Images
  Saptarshi Misra, Pranay Dugar, Anirban Chatterjee, Lalitdutt Parsai and Kunal Banerjee
• A robust section identification method for scanned electronic health records
  Anand Subramanian, Praveen Kumar Suresh and Sudarsun Santhiappan
• A Dynamic Attention Based Graph Neural Network for Anomaly Prediction in Multi-Variate Time-Series & Its Application in Network Monitoring
  Meet Maheshwari, Binay Gupta, Anirban Chatterjee and Kunal Banerjee
• Mathematical Expressions in Software Engineering Artifacts
  Tanuj Sur, Aaditree Jaisswal and Venkatesh Vinayakarao
• BUDDI Table Factory: A toolbox for generating synthetic documents with annotated tables and cells
  Bharath Sripathy, Harinath Krishnamoorthy and Sudarsun Santhiappan
• DIGITOUR: Automatic Digital Tours for Real-Estate Properties
  Prateek Chhikara, Harshul Kuhar, Anil Goyal and Chirag Sharma
• Prediction of High-Resolution Atmospheric CO2 Concentration from OCO-2 using Machine Learning
  Spurthy Maria Pais, Shrutilipi Bhattacharjee and Anand Kumar Madasamy

• xEM: Explainable Entity Matching in Customer 360
  Sukriti Jaitly, Deepa Mariam George, Balaji Ganesan, Muhammed Ameen and Srinivas Pusapati
• RE-RentFraud: A System to detect Frauds in rent payments for Real-Estate properties
  Badal Gupta, Anil Goyal, Chirag Sharma and Divyansh Kumar
• FLUEnT: Financial Language Understandability Enhancement Toolkit
  Sohom Ghosh and Sudip Kumar Naskar
• UDAAN - Machine Learning based Post-Editing tool for Document Translation
  Ayush Maheshwari, Ajay Ravindraan, Venkatapathy Subramanian and Ganesh Ramakrishnan
• TSAPI: Enhancing Existing OLTP Databases with Temporal Query Capabilities for Analytics
  Chandrashekar Ramanathan, Ram S and Rahul Murali Shankar

• A Step-by-Step Derivation of a Metadata Private Voice Communication System over Untrusted Infrastructure
  Amr El Abbadi (University of California, Santa Barbara)
• Automated Trading using API
  Jagdish Chakole (Symbiosis Institute of Technology, Nagpur) and Manish Kurhekar (VNIT Nagpur)
• AI & Law: Formative Developments, State-of-the-Art Approaches, Challenges & Opportunities
  Jack Conrad (Thomson Reuters), Shirsha Ray Chaudhuri (Thomson Reuters), Shounak Paul (IIT Kharagpur) and Saptarshi Ghosh (IIT Kharagpur)
• AI for Immersive Metaverse Experience
  Alpana Dubey (Accenture), Nitish Bhardwaj (Accenture), Abhinav Upadhyay (Accenture) and Roshni Ramnani (Accenture)
• Causal Inference and Causal Machine Learning with Practical Applications
  Somedip Karmakar (Walmart Global Tech India), Soumojit Guha Majumder (Walmart Global Tech India) and Dhiraj Gangaraju (Walmart Global Tech India)
• DL4HC: Deep Learning for Healthcare
  Raghavendra Bhat (Intel), Sandya Mannarswamy (Independent Researcher) and Shreyas N C (Intel)
• Promoting sustainable water usage and management with water data, AI and policy
  Bihu Suchetana (IIT Roorkee), Biplav Srivastava (University of South Carolina), Hari Prabhat Gupta (IIT-BHU) and Manabendra Saharia (IIT Delhi)
• Semantic Automation for Data Discovery
  Rajmohan C (IBM Research), Ritwik Chaudhuri (IBM Research), Balaji Ganesan (IBM Research), Anupam Sanghi (IISc), Arvind Agarwal (IBM Research) and Sameep Mehta (IBM Research)
• Understanding meta-learning for fast adaptation
  Kavya R. Saxena (IIT Kanpur) and Vipul Arora (IIT Kanpur)

• Using domain ontology to identify consistent and inconsistent cases from LSTM-generated transfer type AWPs
  Suresh Kumar and Sreenivasa Kumar P..
• Warning: It’s a scam!! Towards understanding the Employment Scams using Knowledge Graphs
  Nidhi Goyal, Radhika Mamidi, Niharika Sachdeva and Ponnurangam Kumaraguru.
• DeepHalo - Finding Dark Matter Halo Substructure Using Deep Learning
  Jyotirmaya Shivottam and Subhankar Mishra.
• Using Natural Language Processing to Enhance Understandability of Financial Texts
  Sohom Ghosh and Sudip Kumar Naskar.
• Understanding catastrophic forgetting for adaptive deep learning
  Shriraj Sawant.
• Addressing Data Intrinsic Characteristics for Augmentation for Breast Cancer Classification
  Armaan Garg.
• Automatic Epilepsy Detection from EEG signals
  Vridhi Rohira, Shivam Chaudhary, Sudip Das and Krishna Prasad Miyapuram.
• Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic?
  Basant Pandagre and Manish Narwaria.
• Machine Learning and Convolutional Neural Network based Trace Identification of Pesticides and Dye Mixtures from Raman Spectra
  Venkat Suprabath Bitra, Shweta Verma and B. Tirumala Rao.
• Visualization of the Dynamics in Character Networks using Social Network Analysis
  Rodda Indu and S. Durga Bhavani.
• Predicting drum beats from high density Brain Rhythms
  Shivam Chaudhary, Krishna Prasad Miyapuram and Derek Lomas.
• Algorithmic Recourse based on User’s Feature-order Preference
  Manan Singh, Kancheti Sai Srinivas, Shivam Gupta, Ganesh Ghalme, Shweta Jain and Narayanan C. Krishnan.
• Efficient Hessian-based DNN Optimization via Chain-Rule Approximation
  Alessandro Temperoni, Mauro Dalle Lucca Tosi and Martin Theobald.
• Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNN
  Seshu Damarla, Xiuli Zhu and Madhusree Kundu.
• Deep Gaussian Processes for Air Quality Inference
  Aadesh Desai, Eshan Gujarathi, Saagar Parikh, Sachin Yadav, Zeel Patel and Nipun Batra.
• RNFSL: Relation Network in Anomaly Detection
  Shruti Sureshan and Debasis Das.
• Techniques for Privacy-Preserving Data Aggregation in an Untrusted Distributed Environment
  Snehkumar Shahani, Dr. Jibi Abraham and Ramanathan Venkateswaran.