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03/02/2023
Document Provenance and Authentication through Authorship Classification
Style analysis, which is relatively a less explored topic, enables sever...
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01/01/2023
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques
This paper presents our solutions for the MediaEval 2022 task on Disaste...
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11/11/2022
Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization
Advances in reinforcement learning (RL) often rely on massive compute re...
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07/11/2022
A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness
The recent advancement in Multimedia Analytical, Computer Vision (CV), a...
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04/28/2022
An Explainable Regression Framework for Predicting Remaining Useful Life of Machines
Prediction of a machine's Remaining Useful Life (RUL) is one of the key ...
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03/22/2022
Constrained Parameter Inference as a Principle for Learning
Learning in biological and artificial neural networks is often framed as...
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02/09/2022
Merit-based Fusion of NLP Techniques for Instant Feedback on Water Quality from Twitter Text
This paper focuses on an important environmental challenge; namely, wate...
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10/02/2021
Explainable Event Recognition
The literature shows outstanding capabilities for CNNs in event recognit...
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02/23/2021
Scaling up learning with GAIT-prop
Backpropagation of error (BP) is a widely used and highly successful lea...
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11/30/2020
Floods Detection in Twitter Text and Images
In this paper, we present our methods for the MediaEval 2020 Flood Relat...
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06/11/2020
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
Traditional backpropagation of error, though a highly successful algorit...
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03/09/2020
Spike-Timing-Dependent Inference of Synaptic Weights
A potential solution to the weight transport problem, which questions th...
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01/14/2019
