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ORCID28th COMAD / 10th CODS 2023: Mumbai, India
- 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. ACM 2023, ISBN 978-1-4503-9797-1
Research Track - Machine Learning
- Santhosh B. Gandreti
, P. S. Sastry:
Efficient Depth-First Search Approach for Mining Injective General Episodes. 1-9 - Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. 10-18 - Sahel Mohammad Iqbal, Subhankar Mishra:
Neural Networks at a Fraction with Pruned Quaternions. 19-27 - Amit Chandak, Purushottam Kar, Piyush Rai:
Gradient Perturbation-based Efficient Deep Ensembles. 28-36
Research Track - Language and Retrieval
- Dwijesh Gohil, Shivangi Bithel, Srikanta Bedathur:
LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval. 37-46 - Vikanksh Nath, Vipul Chauhan, Lipika Dey:
Query-Focused Re-Ranking to Enhance the Performance of Text Entailment and Question Answering. 47-54 - Tejpalsingh Siledar, Jigar Makwana, Pushpak Bhattacharyya:
Aspect-Sentiment-based Opinion Summarization using Multiple Information Sources. 55-61 - Manish Singh, Manish Shrivastava:
BRR-QA: Boosting Ranking and Reading in Open-Domain Question Answering. 62-69
Research Track - Data and Knowledge Management
- Nandini Ramanan, Phillip Odom, Kristian Kersting, Sriraam Natarajan:
Active Feature Acquisition via Human Interaction in Relational domains. 70-78 - Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar:
Generalized Structured Low-Rank Tensor Learning. 79-86 - Garima Gaur, Rajat Singh, Siddhant Arora, Vinayak Gupta, Srikanta Bedathur:
Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases. 87-94 - Akshay Gupta, Suresh Kumar, P. Sreenivasa Kumar:
Solving age-word problems using domain ontology and BERT. 95-103
Research Track (Short Papers) - Machine Learning
- Sairam Utukuru, Pisipati Radha Krishna, Kamalakar Karlapalem:
Missing Data Resilient Ensemble Subspace Decision Tree Classifier. 104-107 - Harshad Khadilkar, Hardik Meisheri:
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning. 108-112 - Furqan Ahmed Shaik, Thejasvi Konduru, Girish Varma, Kishore Kothapalli:
Accelerating Computer Vision Tasks on GPUs using Ramanujan Graph Product Framework. 113-117 - Avirup Saha, Balaji Ganesan:
Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior. 118-122
Research Track (Short Paper) - Language and Retrieval
- Anuj Khare, Amit Awekar:
Surface Name Errors in Wikipedia. 123-127
Research Track (Short Paper) - Data and Knowledge Management
- Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal:
Explainable Data Imputation using Constraints. 128-132
Research Track - Poster
- Neha Bansal, Shelly Sachdeva, Lalit Kumar Awasthi:
A workload-driven approach for automatic schema generation for document stores. 133 - Samruddhi Deshmukh, Amartansh Dubey, Ross D. Murch:
Robust Covariance Matrix Estimation using Random Matrix Theory. 134 - Sparsh Gupta, Ayshika Kapoor, Dheeraj Kumar:
A Resource Adaptive Secure Aggregation Protocol for Federated Learning based Urban Sensing Systems. 135 - Puja Banerjee, Siddhartha Raj, Rajesh P. Barnwal:
Machine versus Human Attention: A comparative study of different transfer learning models. 136 - Uma Priya D, P. Santhi Thilagam:
Extracting Schema Variants from JSON Collections using JSVTree. 137 - Shubham Jain, Srijith P. K:
Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation. 138 - Akshay Parekh, Ashish Anand, Amit Awekar:
Relation Classification Model Performance as a Function of Dataset Label Noise. 139
Applied Data Science Track - Computer Vision
- Abhinav Upadhyay, Alpana Dubey, Suma Mani Kuriakose, Shaurya Agarawal:
FloorGAN: Generative Network for Automated Floor Layout Generation. 140-148
Applied Data Science Track - Time Series
- Vijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan, Tony Tang:
Global Explanations for Multivariate time series models. 149-157
Applied Data Science Track - Information Extraction
- Surya Teja Tunuguntla, Arpan Shrivastava, Alok Mathur, Abhay Shukla, Dipyaman Banerjee:
Customer Informatics by Embedding SMS Headers. 158-166 - 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. 167-175
Applied Data Science Track - Learning and Optimization
- Pranavi Pathakota, Kunwar Zaid, Anulekha Dhara, Hardik Meisheri, Shaun D'Souza, Dheeraj Shah, Harshad Khadilkar:
Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce. 176-184 - 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. 185-193
Applied Data Science Track - Machine Learning
- 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. 194-202
Applied Data Science Track (Short Papers) - Computer Vision
- Petchiammal A, Briskline Kiruba S, D. Murugan, Pandarasamy Arjunan:
Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking. 203-207 - Saptarshi Misra, Pranay Dugar, Anirban Chatterjee, Lalitdutt Parsai, Kunal Banerjee:
Designing a Vision Transformer based Enhanced Text Extractor for Product Images. 208-212 - Anand Subramanian, Praveen Kumar Suresh, Sudarsun Santhiappan:
A robust section identification method for scanned electronic health records. 213-217 - Bharath Sripathy, Harinath Krishnamoorthy, Sudarsun Santhiappan:
BUDDI Table Factory: A toolbox for generating synthetic documents with annotated tables and cells. 218-222 - Prateek Chhikara, Harshul Kuhar, Anil Goyal, Chirag Sharma:
DIGITOUR: Automatic Digital Tours for Real-Estate Properties. 223-227
Applied Data Science Track (Short Papers) - Time Series
- Manisha Dubey, Ragja Palakkadavath, P. K. Srijith:
Event Uncertainty using Ensemble Neural Hawkes Process. 228-232 - 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. 233-237
Applied Data Science Track (Short Paper) - Information Extraction
- Tanuj Sur, Aaditree Jaisswal, Venkatesh Vinayakarao:
Mathematical Expressions in Software Engineering Artifacts. 238-242
Applied Data Science Track (Short Paper) - Machine Learning
- Spurthy Maria Pais, Shrutilipi Bhattacharjee, Anand Kumar Madasamy:
Prediction of High-Resolution Atmospheric CO2 Concentration from OCO-2 using Machine Learning. 243-247
Demonstration Track
- Sukriti Jaitly, Deepa Mariam George, Balaji Ganesan, Muhammed Ameen, Srinivas Pusapati:
xEM: Explainable Entity Matching in Customer 360. 248-252 - Badal Gupta, Anil Goyal, Chirag Sharma, Divyansh Kumar:
RE-RentFraud: A System to detect Frauds in rent payments for Real-Estate properties. 253-257 - Sohom Ghosh, Sudip Kumar Naskar:
FLUEnT: Financial Language Understandability Enhancement Toolkit. 258-262 - Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Ganesh Ramakrishnan:
UDAAN - Machine Learning based Post-Editing tool for Document Translation. 263-267 - Chandrashekar Ramanathan, Apurva Kulkarni:
TSAPI: Enhancing Existing OLTP Databases with Temporal Query Capabilities for Analytics. 268-271
Young Researchers' Symposium
- Vridhi Rohira, Shivam Chaudhary, Sudip Das, Krishna Prasad Miyapuram:
Automatic Epilepsy Detection from EEG signals. 272-273 - Basant Pandagre, Manish Narwaria:
Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic? 274-275 - Seshu Kumar Damarla, Xiuli Zhu, Madhusree Kundu:
Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNN. 276-277 - Aadesh Desai, Eshan Gujarathi, Saagar Parikh, Sachin Yadav, Zeel Patel, Nipun Batra:
Deep Gaussian Processes for Air Quality Inference. 278-279 - 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. 280-281 - Shriraj Pramod Sawant:
Understanding catastrophic forgetting for adaptive deep learning. 282-283 - Indu Rodda, S. Durga Bhavani:
Visualization of the Dynamics in Character Networks using Social Network Analysis. 284-285 - Snehkumar Shahani, Jibi Abraham, R. Venkateswaran:
Techniques for Privacy-Preserving Data Aggregation in an Untrusted Distributed Environment. 286-287 - Jyotirmaya Shivottam, Subhankar Mishra:
DeepHalo - Finding Dark Matter Halo Substructure Using Deep Learning. 288 - Suresh Kumar, Sreenivasa Kumar P:
Using domain ontology to identify consistent and inconsistent cases from LSTM-generated transfer type AWPs. 289-290 - Shivam Chaudhary, Krishna Prasad Miyapuram, Derek Lomas:
Predicting drum beats from high-density Brain Rhythms. 291-292 - Manan Singh, Sai Srinivas Kancheti, Shivam Gupta, Ganesh Ghalme, Shweta Jain, Narayanan C. Krishnan:
Algorithmic Recourse based on User's Feature-order Preference. 293-294 - Shruti Sureshan, Debasis Das:
Few-Shot Learning based Anomaly Detection in Security Applications. 295-296 - Alessandro Temperoni, Mauro Dalle Lucca Tosi, Martin Theobald:
Efficient Hessian-based DNN Optimization via Chain-Rule Approximation. 297-298 - Armaan Garg:
Addressing Data Intrinsic Characteristics for Augmentation for Breast Cancer Classification. 299-300 - Sohom Ghosh, Sudip Kumar Naskar:
Using Natural Language Processing to Enhance Understandability of Financial Texts. 301-302 - Nidhi Goyal, Radhika Mamidi, Niharika Sachdeva, Ponnurangam Kumaraguru:
Warning: It's a scam!! Towards understanding the Employment Scams using Knowledge Graphs. 303-304
Tutorials
- Jagdish Chakole, Manish P. Kurhekar:
Tutorial on Automated Trading using API. 305-307 - Bihu Suchetana, Biplav Srivastava, Hari Prabhat Gupta, Manabendra Saharia:
Promoting Sustainable Water Usage and Management With Water Data, AI and Policy. 308-311 - Kavya Ranjan Saxena, Vipul Arora:
Tutorial on understanding meta-learning for fast adaptation. 312-315 - Alpana Dubey, Nitish Bhardwaj, Abhinav Upadhyay, Roshni R. Ramnani:
AI for Immersive Metaverse Experience. 316-319 - Jack G. Conrad, Shirsha Ray Chaudhuri, Shounak Paul, Saptarshi Ghosh:
AI & Law: Formative Developments, State-of-the-Art Approaches, Challenges & Opportunities. 320-323 - Somedip Karmakar, Soumojit Guha Majumder, Dhiraj Gangaraju:
Causal Inference and Causal Machine Learning with Practical Applications: The paper highlights the concepts of Causal Inference and Causal ML along with different implementation techniques. 324-326 - Raghavendra Bhat, Sandya Mannarswamy, Shreyas N. C:
DL4HC: Deep Learning for Healthcare. 327-329 - Rajmohan C, Ritwik Chaudhuri, Balaji Ganesan, Anupam Sanghi, Arvind Agarwal, Sameep Mehta:
Tutorial on Semantic Automation for Data Discovery. 330-334
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