Laya Das - RankMe

25 papers B 1C 2Journal 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Muscle Anatomy-aware Geometric Deep Learning for sEMG-based Gesture Decoding. CoRR Adyasha Dash, Giulia Zappoli, Laya Das, Robert Riener
2024	J	`jnl`	Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications. IEEE Trans. Neural Networks Learn. Syst. Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
2024	J	`jnl`	Uncertainty-aware deep learning for monitoring and fault diagnosis from synthetic data. Reliab. Eng. Syst. Saf. Laya Das, Blazhe Gjorgiev, Giovanni Sansavini
2023	J	`jnl`	A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks. Neurocomputing Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
2023	J	`jnl`	A testbed for studying the interactions between human operators and advanced control systems. Comput. Chem. Eng. Ritu Ranjan, Laya Das, Niket S. Kaisare, Rajagopalan Srinivasan
2023	J	`jnl`	Anomaly detection for automated inspection of power line insulators. CoRR Laya Das, Blazhe Gjorgiev, Giovanni Sansavini
2023	J	`jnl`	Simulation-driven deep learning for locating faulty insulators in a power line. Reliab. Eng. Syst. Saf. Blazhe Gjorgiev, Laya Das, Seline Merkel, Martina Rohrer, Etienne Auger, Giovanni Sansavini
2023	J	`jnl`	There is more to graphs than meets the eye: Learning universal features with self-supervision. CoRR Laya Das, Sai Munikoti, Mahantesh Halappanavar
2023	J	`jnl`	Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines. CoRR Laya Das, Blazhe Gjorgiev, Giovanni Sansavini
2022	J	`jnl`	A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks. CoRR Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
2022	J	`jnl`	A unified theory of emergent equilibrium phenomena in active and passive matter. Comput. Chem. Eng. Venkat Venkatasubramanian, Abhishek Sivaram, Laya Das
2022	J	`jnl`	Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications. CoRR Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
2022	J	`jnl`	Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime. CoRR Laya Das, Mohammad Hossein Saadat, Blazhe Gjorgiev, Etienne Auger, Giovanni Sansavini
2022	J	`jnl`	Scalable graph neural network-based framework for identifying critical nodes and links in complex networks. Neurocomputing Sai Munikoti, Laya Das, Balasubramaniam Natarajan
2021	B	`conf`	Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks. SMC Sai Munikoti, Laya Das, Balasubramaniam Natarajan
2021	J	`jnl`	Robust and efficient swarm communication topologies for hostile environments. Swarm Evol. Comput. Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian
2020	J	`jnl`	Graph neural network based approximation of Node Resiliency in complex networks. CoRR Sai Munikoti, Laya Das, Balasubramaniam Natarajan
2020	J	`jnl`	Hidden representations in deep neural networks: Part 1. Classification problems. Comput. Chem. Eng. Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian
2020	J	`jnl`	Hidden representations in deep neural networks: Part 2. Regression problems. Comput. Chem. Eng. Laya Das, Abhishek Sivaram, Venkat Venkatasubramanian
2020	J	`jnl`	Robust and Efficient Swarm Communication Topologies for Hostile Environments. CoRR Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian
2019	J	`jnl`	A Framework for Efficient Information Aggregation in Smart Grid. IEEE Trans. Ind. Informatics Amit Joshi, Laya Das, Balasubramaniam Natarajan, Babji Srinivasan
2019	J	`jnl`	Data-Driven Approaches for Diagnosis of Incipient Faults in DC Motors. IEEE Trans. Ind. Informatics Sai Munikoti, Laya Das, Balasubramaniam Natarajan, Babji Srinivasan
2016	J	`jnl`	Multivariate Control Loop Performance Assessment With Hurst Exponent and Mahalanobis Distance. IEEE Trans. Control. Syst. Technol. Laya Das, Babji Srinivasan, Raghunathan Rengaswamy
2015	C	`conf`	On-line performance monitoring of PEM fuel cell using a fast EIS approach. ACC Laya Das, Babji Srinivasan, Raghunathan Rengaswamy
2014	C	`conf`	Data driven approach for performance assessment of linear and nonlinear Kalman filters. ACC Laya Das, Babji Srinivasan, Raghunathan Rengaswamy