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12/16/2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
Counterfactual explanations have emerged as a popular solution for the e...
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09/25/2021
Random Walk-steered Majority Undersampling
In this work, we propose Random Walk-steered Majority Undersampling (RWM...
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09/25/2021
Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data
There is often a mixture of very frequent labels and very infrequent lab...
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01/29/2021
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection
Anomaly detection is a challenging problem in machine learning, and is e...
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09/03/2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings
Deep neural networks have been successful in diverse discriminative clas...
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04/23/2019
KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification
Multi-label classification allows a datapoint to be labelled with more t...
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04/23/2019
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification
Multi-label classification is an approach which allows a datapoint to be...
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01/25/2019
A Kalman filtering induced heuristic optimization based partitional data clustering
Clustering algorithms have regained momentum with recent popularity of d...
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10/06/2018
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network
Meetup.com is a global online platform which facilitates the organisatio...
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07/30/2018