COMAD/CODS

Keyphrases

Publications

2023

Anand Subramanian, Praveen Kumar Suresh, Sudarsun Santhiappan
A robust section identification method for scanned electronic health records. COMAD/CODS (2023)
Alessandro Temperoni, Mauro Dalle Lucca Tosi, Martin Theobald
Efficient Hessian-based DNN Optimization via Chain-Rule Approximation. COMAD/CODS (2023)
Aadesh Desai, Eshan Gujarathi, Saagar Parikh, Sachin Yadav, Zeel Patel, Nipun Batra
Deep Gaussian Processes for Air Quality Inference. COMAD/CODS (2023)
Nidhi Goyal, Radhika Mamidi, Niharika Sachdeva, Ponnurangam Kumaraguru
Warning: It's a scam!! Towards understanding the Employment Scams using Knowledge Graphs. COMAD/CODS (2023)
Sohom Ghosh, Sudip Kumar Naskar
Using Natural Language Processing to Enhance Understandability of Financial Texts. COMAD/CODS (2023)
Puja Banerjee, Siddhartha Raj, Rajesh P. Barnwal
Machine versus Human Attention: A comparative study of different transfer learning models. COMAD/CODS (2023)
Prateek Chhikara, Harshul Kuhar, Anil Goyal, Chirag Sharma
DIGITOUR: Automatic Digital Tours for Real-Estate Properties. COMAD/CODS (2023)
Tejpalsingh Siledar, Jigar Makwana, Pushpak Bhattacharyya
Aspect-Sentiment-based Opinion Summarization using Multiple Information Sources. COMAD/CODS (2023)
Sahel Mohammad Iqbal, Subhankar Mishra
Neural Networks at a Fraction with Pruned Quaternions. COMAD/CODS (2023)
Sukriti Jaitly, Deepa Mariam George, Balaji Ganesan, Muhammed Ameen, Srinivas Pusapati
xEM: Explainable Entity Matching in Customer 360. COMAD/CODS (2023)
Spurthy Maria Pais, Shrutilipi Bhattacharjee, Anand Kumar Madasamy
Prediction of High-Resolution Atmospheric CO2 Concentration from OCO-2 using Machine Learning. COMAD/CODS (2023)
Sohom Ghosh, Sudip Kumar Naskar
FLUEnT: Financial Language Understandability Enhancement Toolkit. COMAD/CODS (2023)
Rajmohan C, Ritwik Chaudhuri, Balaji Ganesan, Anupam Sanghi, Arvind Agarwal, Sameep Mehta
Tutorial on Semantic Automation for Data Discovery. COMAD/CODS (2023)
Surya Teja Tunuguntla, Arpan Shrivastava, Alok Mathur, Abhay Shukla, Dipyaman Banerjee
Customer Informatics by Embedding SMS Headers. COMAD/CODS (2023)
Jyotirmaya Shivottam, Subhankar Mishra
DeepHalo - Finding Dark Matter Halo Substructure Using Deep Learning. COMAD/CODS (2023)
Neha Bansal, Shelly Sachdeva, Lalit Kumar Awasthi
A workload-driven approach for automatic schema generation for document stores. COMAD/CODS (2023)
Sairam Utukuru, Pisipati Radha Krishna, Kamalakar Karlapalem
Missing Data Resilient Ensemble Subspace Decision Tree Classifier. COMAD/CODS (2023)
Ajay Narayanan, Prasant Misra, Ankush Ojha, Abhinav Gupta, Supratim Ghosh, Arunchandar Vasan
Agent-based Learning Approach to Electric Vehicle Routing Problem with Vehicle-to-Grid Supply and Battery Swapping. COMAD/CODS (2023)
Jagdish Chakole, Manish P. Kurhekar
Tutorial on Automated Trading using API. COMAD/CODS (2023)
Bihu Suchetana, Biplav Srivastava, Hari Prabhat Gupta, Manabendra Saharia
Promoting Sustainable Water Usage and Management With Water Data, AI and Policy. COMAD/CODS (2023)
Armaan Garg
Addressing Data Intrinsic Characteristics for Augmentation for Breast Cancer Classification. COMAD/CODS (2023)
Raghavendra Bhat, Sandya Mannarswamy, Shreyas N. C
DL4HC: Deep Learning for Healthcare. COMAD/CODS (2023)
Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. COMAD/CODS (2023)
Basant Pandagre, Manish Narwaria
Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic? COMAD/CODS (2023)
Shriraj Pramod Sawant
Understanding catastrophic forgetting for adaptive deep learning. COMAD/CODS (2023)
Anuj Khare, Amit Awekar
Surface Name Errors in Wikipedia. COMAD/CODS (2023)
Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Ganesh Ramakrishnan
UDAAN - Machine Learning based Post-Editing tool for Document Translation. COMAD/CODS (2023)
Saptarshi Misra, Pranay Dugar, Anirban Chatterjee, Lalitdutt Parsai, Kunal Banerjee
Designing a Vision Transformer based Enhanced Text Extractor for Product Images. COMAD/CODS (2023)
Snehkumar Shahani, Jibi Abraham, R. Venkateswaran
Techniques for Privacy-Preserving Data Aggregation in an Untrusted Distributed Environment. COMAD/CODS (2023)
Abhinav Upadhyay, Alpana Dubey, Suma Mani Kuriakose, Shaurya Agarawal
FloorGAN: Generative Network for Automated Floor Layout Generation. COMAD/CODS (2023)
Vijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan, Tony Tang
Global Explanations for Multivariate time series models. COMAD/CODS (2023)
Akshay Gupta, Suresh Kumar, P. Sreenivasa Kumar
Solving age-word problems using domain ontology and BERT. COMAD/CODS (2023)
Vikanksh Nath, Vipul Chauhan, Lipika Dey
Query-Focused Re-Ranking to Enhance the Performance of Text Entailment and Question Answering. COMAD/CODS (2023)
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), Mumbai, India, January 4-7, 2023 COMAD/CODS (2023)
Bharath Sripathy, Harinath Krishnamoorthy, Sudarsun Santhiappan
BUDDI Table Factory: A toolbox for generating synthetic documents with annotated tables and cells. COMAD/CODS (2023)
Manisha Dubey, Ragja Palakkadavath, P. K. Srijith
Event Uncertainty using Ensemble Neural Hawkes Process. COMAD/CODS (2023)
Sparsh Gupta, Ayshika Kapoor, Dheeraj Kumar
A Resource Adaptive Secure Aggregation Protocol for Federated Learning based Urban Sensing Systems. COMAD/CODS (2023)
Vridhi Rohira, Shivam Chaudhary, Sudip Das, Krishna Prasad Miyapuram
Automatic Epilepsy Detection from EEG signals. COMAD/CODS (2023)
Roy Bar-Haim, Lilach Eden, Yoav Kantor, Vikas Agarwal, Mark Devereux, Nisha Gupta, Arun Kumar, Matan Orbach, Michael Zan
Towards Automated Assessment of Organizational Cybersecurity Posture in Cloud. COMAD/CODS (2023)
Shubham Jain, Srijith P. K
Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation. COMAD/CODS (2023)
Alpana Dubey, Nitish Bhardwaj, Abhinav Upadhyay, Roshni Ramnani
AI for Immersive Metaverse Experience. COMAD/CODS (2023)
Samruddhi Deshmukh, Amartansh Dubey, Ross D. Murch
Robust Covariance Matrix Estimation using Random Matrix Theory. COMAD/CODS (2023)
Seshu Kumar Damarla, Xiuli Zhu, Madhusree Kundu
Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNN. COMAD/CODS (2023)
Badal Gupta, Anil Goyal, Chirag Sharma, Divyansh Kumar
RE-RentFraud: A System to detect Frauds in rent payments for Real-Estate properties. COMAD/CODS (2023)
Furqan Ahmed Shaik, Thejasvi Konduru, Girish Varma, Kishore Kothapalli
Accelerating Computer Vision Tasks on GPUs using Ramanujan Graph Product Framework. COMAD/CODS (2023)
Jack G. Conrad, Shirsha Ray Chaudhuri, Shounak Paul, Saptarshi Ghosh
AI & Law: Formative Developments, State-of-the-Art Approaches, Challenges & Opportunities. COMAD/CODS (2023)
Meet Maheshwari, Binay Gupta, Anirban Chatterjee, Kunal Banerjee
A Dynamic Attention Based Graph Neural Network for Anomaly Prediction in Multi-Variate Time-Series & Its Application in Network Monitoring. COMAD/CODS (2023)
Balamurali A R, Pratyush Pathnaik, Junaid Ahmed, Shanthi Lakshmi, Bhawna Sati, Rahul Ranganathan
Paradigm shift in Nutritional Science: Using Machine Learning to Predict Macronutrient Requirements. COMAD/CODS (2023)
Venkat Suprabath Bitra, Shweta Verma, B. Tirumala Rao
Machine Learning and Convolution Neural Network based Trace Identification of Pesticides and Dye Mixtures from Raman Spectra. COMAD/CODS (2023)
Chandrashekar Ramanathan, Apurva Kulkarni
TSAPI: Enhancing Existing OLTP Databases with Temporal Query Capabilities for Analytics. COMAD/CODS (2023)