Arjun Pakrashi

Orcid: 0000-0002-9605-6839

According to our database1, Arjun Pakrashi authored at least 21 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter.
SN Comput. Sci., November, 2023

Counterfactual explanations for misclassified images: How human and machine explanations differ.
Artif. Intell., November, 2023

CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring.
Frontiers Artif. Intell., February, 2023

Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection.
IEEE Access, 2022

Random Walk-steered Majority Undersampling.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
A multi-label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture.
Expert Syst. J. Knowl. Eng., 2021

ML-NCA: Multi-label Neighbourhood Component Analysis.
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

2020
KalmanTune: A Kalman Filter Based Tuning Method to Make Boosted Ensembles Robust to Class-Label Noise.
IEEE Access, 2020

Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters.
Inf. Sci., 2019

KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification.
CoRR, 2019

CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification.
CoRR, 2019

CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper).
Proceedings of the Artificial Intelligence XXXVI, 2019

2018
Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters.
CoRR, 2018

MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network.
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

2017
Stacked-MLkNN: A stacking based improvement to Multi-Label k-Nearest Neighbours.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

2016
A Kalman filtering induced heuristic optimization based partitional data clustering.
Inf. Sci., 2016

Benchmarking Multi-label Classification Algorithms.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

2014
A New Hybrid Clustering Approach Based on Heuristic Kalman Algorithm.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014


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