Second RBCDSAI Workshop on Recent Progress in Data Science and AI
-
Venues : IIT Madras, Chennai - 600036
- Posters: ICSR AC Dining Hall
- Time : 1400-1830
- Date : 18th April (Wednesday)
Poster Titles
- Evaluation of Clustering Algorithms for the Prediction of Trends in Bus Travel Time
- Identification of Reaction Systems using Spectroscopic Measurements and Micro-reactors
- Deciphering metabolism of Bifidobacterium spp. with constraint based genome scale models
- Systematic comparison of NGS pipelines using five gold standard datasets (HG001 - HG005)
- Classification and identification of tumour suppressor genes and oncogenes
- A systems-theoretic approach towards finding design principles for biological networks capable of adaptation
- RAIL: Risk-averse Imitation Learning
- Identification of FIR Models for LTI Multiscale Systems using Sparse Optimization Techniques
- DCEIL: Distributed Community Detection with the CEIL Score
- Sparse Tensor Decomposition for Multiplex Networks
- Training a Deep Learning Architecture for Vehicle Detection Using Limited Heterogeneous Traffic Data
- Network-based Features Enable Prediction of Essential Genes Across Diverse Organisms
- Towards Exploiting Structured and Unstructured Background Knowledge for Building Conversation Systems
- Affordance Learning: A developmental learning approach
- Towards a Better Metric for Evaluating Question Generation Systems
- Smoother Imitation with Lipschitz Costs
- Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks
- Code mixing in goal oriented conversation systems
- Representation Learning in Hypergraphs
- A Novel Topic Modelling Based Weighting Framework for Class Imbalance Learning
- Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning
- Edge Replacement Grammars : A Formal Language Approach for Generating Graphs
- Kinetic Modeling of Hyaluronic acid Production based on Experimental Data
- Root cause analysis of interacting stable systems
- Model identification for control using historical data
- Input reconstruction using process data and first principles model
- Optimal Bidding using Reinforcement Learning for Commodity Markets
- Target prediction of microRNA miR-34b from TCGA cervical cancer data
- Graph-theoretic and experimental framework to study microbial communities
- Identification of driver genes across tumor samples in a Pan-cancer study
- Designing Modular Gene Circuits
- What is the Right Sample Size for Fixed Horizon Online Experiments?
- Improved Insights on Financial Health Using Auto Regressive Hidden Markov Models
- An Experimental Study for Leak detection by in intermittent Water Distribution Networks
- Eliminet : A model for eliminating options for reading comprehension with MCQs
- Natural Language Generation from Structured Data