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Domain agnostic methods for integration of prior knowledge in learning algorithms
Raghunathan Rengaswamy
Domain agnostic methods for integration of prior knowledge in learning algorithms
machine learning data science domain knowledge integration
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Learning With Limited Partial and Noisy Data
Nandan Sudarsanam
Learning With Limited Partial and Noisy Data
reinforcement learning applied statistics
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Attention Mechanisms in Deep Neural Networks
Mitesh M Khapra
Attention Mechanisms in Deep Neural Networks
deep learning reinforcement learning transfer learning attention mechanism in deep learning natural language processing
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Comprehensive Errors-invariables-based Model Identification (Part 1)
Arun Tangirala , Shankar Narasimhan
Comprehensive Errors-invariables-based Model Identification (Part 1)
process control model identification data science
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Hybrid Intelligent Systems in Autonomous Vehicles
Ramkrishna Pasumarthy , Arun D Mahindrakar
Hybrid Intelligent Systems in Autonomous Vehicles
autonomous vehicles statistical learning theory artificial intelligence control systems
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Online Data Analysis for Rapid Identification and Monitoring of Reaction Systems based on multi-sensor and multi-scale data
Sridharakumar Narasimhan , Nirav Bhatt
Online Data Analysis for Rapid Identification and Monitoring of Reaction Systems based on multi-sensor and multi-scale data
data analysis model identification interpretable model
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Data Analysis and State Estimation using WiFi-based Traffic Sensor Technology
Bhargava Rama Chilukuri , Lelitha Devi Vanajakshi
Data Analysis and State Estimation using WiFi-based Traffic Sensor Technology
traffic management data analytics sensor-based data collection
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Developing Temporal Convolutional Neural Networks comprising Nonlinear Oscillators for Non-Destructive Evaluation using Active Thermographic images
Srinivasa Chakravarthy V , Krishnan Balasubramanian
Developing Temporal Convolutional Neural Networks comprising Nonlinear Oscillators for Non-Destructive Evaluation using Active Thermographic images
deep learning non-destructive evaluation
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Comprehensive Errors-invariables-based model identification (Part 2)
Arun Tangirala , Shankar Narasimhan
Comprehensive Errors-invariables-based model identification (Part 2)
process control model identification data science
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Towards Autonomous PDE Solvers Automated Generation of Robust Numerical
Balaji Srinivasan , Ganapathy Krishnamurthi , Sivaram Ambikasaran
Towards Autonomous PDE Solvers Automated Generation of Robust Numerical
autonomous PDE solvers deep learning convolutional neural networks field inversion machine learning
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Paradigms, Interpretable Models and Algorithms for AI-based Human in the Loop Learning
Arun Rajkumar , Harish Guruprasad , Chandra Shekar Lakshminarayanan
Paradigms, Interpretable Models and Algorithms for AI-based Human in the Loop Learning
MOOCs human in the loop learning data science interpretability
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Interpretability of Deep Learning Models in Healthcare
Ganapathy Krishnamurthi , Balaji Srinivasan , B Ravindran
Interpretability of Deep Learning Models in Healthcare
deep learning interpretability healthcare
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Learning Mesh and Multiple Conserved Networks From Data
Nirav Bhatt , Shankar Narasimhan
Learning Mesh and Multiple Conserved Networks From Data
network science network construction data mining graph theory
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AI and Ethics for the Indian Context
Sudarsan Padmanaban , B Ravindran
AI and Ethics for the Indian Context
artificial intelligence fairness ethics healthcare interpretability
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Indian Dataset for Automatic Facial Emotion Recognition
Babji Srinivasan , Rajagopalan Srinivasan
Indian Dataset for Automatic Facial Emotion Recognition
Emotion Detection Face Recognition Novel Datasets
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Human-in-the-loop for Safe and Verifiable Reinforcement Learning
Nirav Bhatt , B. Ravindran
Human-in-the-loop for Safe and Verifiable Reinforcement Learning
AI Safety Human in the Loop Reinforcement Learning
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Ethical and Explainable AI in Fintech applications
Arun Rajkumar , Narayanan U Edakunni , Karthik Srinivasan,
Ethical and Explainable AI in Fintech applications
Ethics Financial Analytics Explainable AI
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Development of a collision warning system using Explainable AI for Indian Urban Traffic
Arun K. Tangirala , Lelitha Devi Vanajakshi
Development of a collision warning system using Explainable AI for Indian Urban Traffic
Collision warning Indian Transportation
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Bio-surveillance of Antimicrobial Resistance (AMR) and COVID-19 prevalence in Chennai: A MetaSUB approach using metagenomic
Karthik Raman , Himanshu Sinha
Bio-surveillance of Antimicrobial Resistance (AMR) and COVID-19 prevalence in Chennai: A MetaSUB approach using metagenomic
metagenomics COVID-19 novel datasets
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Deep Learning Model for Chest X-ray Imaging
Ganapathy Krishnamurthi , Balaji Srinivasan
Deep Learning Model for Chest X-ray Imaging
deep learning healthcare COVID-19 image classification
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The Effect of COVID 19 on Crime
Nandan Sudarsanam , Rahul R Marathe
The Effect of COVID 19 on Crime
COVID-19 crime behavioural analysis
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Tackling COVID-19: Repurposing of therapeutic antibodies and development of a comprehensive antibody database
M. Michael Gromiha , Vani Janakiraman
Tackling COVID-19: Repurposing of therapeutic antibodies and development of a comprehensive antibody database
COVID-19 bioinformatics novel datasets
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Multi-city hyperlocal environmental monitoring using distributed low-cost sensor network
Raghunathan Rengaswamy
Multi-city hyperlocal environmental monitoring using distributed low-cost sensor network
wireless sensor network internet of things air quality monitoring
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Data Driven Monitoring of Water Distribution Networks
Sridharakumar Narasimhan
Data Driven Monitoring of Water Distribution Networks
internet of things machine learning flow modelling water-distribution networks
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Synchronized Multi Scale and Multi Sensor Traffic Data From Indian Urban Roads
Bhargava Rama Chilukuri , Gitakrishnan Ramadurai
Synchronized Multi Scale and Multi Sensor Traffic Data From Indian Urban Roads
traffic-data collection traffic management sensory data collection
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