Second RBCDSAI Workshop on Recent Progress in Data Science and AI

Poster Titles

Evaluation of Clustering Algorithms for the Prediction of Trends in Bus Travel Time Hima Elsa Shaji, Arun K. Tangirala and Lelitha Devi Vanajakshi

Identification of Reaction Systems using Spectroscopic Measurements and Micro-reactors Manokaran V, Sridharakumar Narasimhan, Nirav P Bhatt

Deciphering metabolism of Bifidobacterium spp. with constraint based genome scale models Devika N.T., Karthik Raman

Systematic comparison of NGS pipelines using five gold standard datasets (HG001 - HG005) Likith Reddy P, Priyanka Maripuri, Karthik Raman

Classification and identification of tumour suppressor genes and oncogenes Malvika Sudhakar, Karthik Raman, Raghunathan Rengaswamy

A systems-theoretic approach towards finding design principles for biological networks capable of adaptation Priyan Bhattacharya, Arun K. Tangirala, Karthik Raman

RAIL: Risk-averse Imitation Learning S. Avancha, D. Mudigere, D. Das, B. Ravindran, Abhishek Naik Anirban Santara, B. Kaul

Identification of FIR Models for LTI Multiscale Systems using Sparse Optimization Techniques Vivek Shankar Pinnamaraju, Arun K. Tangirala

DCEIL: Distributed Community Detection with the CEIL Score Akash Jain, Rupesh Nasre, B. Ravindran

Sparse Tensor Decomposition for Multiplex Networks Deepak Maurya, Manikandan Narayanan

Training a Deep Learning Architecture for Vehicle Detection Using Limited Heterogeneous Traffic Data Deepak Mittal, Avinash Reddy, Gitakrishnan Ramadurai, Kaushik Mitra, Balaraman Ravindran

Network-based Features Enable Prediction of Essential Genes Across Diverse Organisms A. Karthik, Karthik Raman, B. Ravindran

Towards Exploiting Structured and Unstructured Background Knowledge for Building Conversation Systems Nikita Moghe, Siddhartha Arora, Suman Banerjee, Mitesh Khapra

Affordance Learning: A developmental learning approach Priyatosh Mishra, B. Ravindran

Towards a Better Metric for Evaluating Question Generation Systems Preksha Nema, Mitesh Khapra

Smoother Imitation with Lipschitz Costs Sapana Chaudhary, Akshat Dave, B. Ravindran

Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal, Shweta Bharadwaj, Mitesh Khapra, B. Ravindran

Code mixing in goal oriented conversation systems Suman Banerjee, Nikita Moghe, Siddhartha Arora, Mitesh Khapra

Representation Learning in Hypergraphs Tarun Kumar, B. Ravindran

A Novel Topic Modelling Based Weighting Framework for Class Imbalance Learning S. Santhiappan, J. Chelladurai, B. Ravindran

Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning Sahil Sharma, Girish Raguvir J, Srivatsan Ramesh, Balaraman Ravindran

Edge Replacement Grammars : A Formal Language Approach for Generating Graphs Revanth Reddy, Balaraman Ravindran

Kinetic Modeling of Hyaluronic acid Production based on Experimental Data Mythili A., Sreeja S. Doss, Guhan Jayamanan, Nirav Bhatt

Root cause analysis of interacting stable systems Mohd Faheem Ullah, Raghunathan Rengaswamy

Model identification for control using historical data Manikandan S, Raghunathan Rengaswamy

Input reconstruction using process data and first principles model Danny Raj M, Venkataraman N V, Raghunathan R

Optimal Bidding using Reinforcement Learning for Commodity Markets Satya Jayadev P, Manu SH, Ramkrishna Pasumarthy, Nirav Bhatt

Target prediction of microRNA miR-34b from TCGA cervical cancer data Ashley Xavier , Nalini Venkatesan, Himanshu Sinha , Karunagaran

Graph-theoretic and experimental framework to study microbial communities Aarthi Ravikrishnan, Meghana Nasre, Lars M Blank, Smita Srivastava, Karthik Raman

Identification of driver genes across tumor samples in a Pan-cancer study Shayantan Banerjee, Karthik Raman, B. Ravindran

Designing Modular Gene Circuits Pradeep Natarajan, Saransh Umale, Karthik Raman, Raghunathan Rengaswamy

What is the Right Sample Size for Fixed Horizon Online Experiments? Balaji Pitchaikannu and Nandan Sudarsanam

Improved Insights on Financial Health Using Auto Regressive Hidden Markov Models Dibu John Philip and Nandan Sudarsanam

An Experimental Study for Leak detection by in intermittent Water Distribution Networks Prasanna Mohan Das, Murthy B.S, Shankar Narasimhan, Sridhar kumar Narasimhan

Eliminet : A model for eliminating options for reading comprehension with MCQs Ananya Sai, Preksha Nema, Mitesh Khapra, Soham Parikh

Natural Language Generation from Structured Data Shreyas Shetty, Preksha Nema, Parag Jain, Anirban Laha, Karthik Sankara Narayanan, Mitesh Khapra