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06/21/2021
Zero-shot learning approach to adaptive Cybersecurity using Explainable AI
Cybersecurity is a domain where there is constant change in patterns of ...
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03/12/2021
Explaining Network Intrusion Detection System Using Explainable AI Framework
Cybersecurity is a domain where the data distribution is constantly chan...
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09/21/2020
Contextual Bandits for adapting to changing User preferences over time
Contextual bandits provide an effective way to model the dynamic data pr...
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10/23/2019
NER Models Using Pre-training and Transfer Learning for Healthcare
In this paper, we present our approach to extract structured information...
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09/16/2019
Leveraging human Domain Knowledge to model an empirical Reward function for a Reinforcement Learning problem
Traditional Reinforcement Learning (RL) problems depend on an exhaustive...
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04/02/2018
Regional Priority Based Anomaly Detection using Autoencoders
In the recent times, autoencoders, besides being used for compression, h...
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02/05/2018
Data Augmentation of Railway Images for Track Inspection
Regular maintenance of all the assets is pivotal for proper functioning ...
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02/05/2018
Face recognition for monitoring operator shift in railways
Train Pilot is a very tedious and stressful job. Pilots must be vigilant...
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12/17/2017
Railway Track Specific Traffic Signal Selection Using Deep Learning
With the railway transportation Industry moving actively towards automat...
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11/17/2017