Arjun Pakrashi
Orcid: 0000-0002-9605-6839
According to our database1,
Arjun Pakrashi
authored at least 26 papers
between 2014 and 2024.
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Bibliography
2024
Proceedings of the 17th International Congress on Image and Signal Processing, 2024
Estimating Global Horizontal Irradiance of Solar Photovoltaic System from Satellite Data.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024
Exploring the Impact of SAR Images on Wave Height Prediction Models: A Study Using XAI.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024
Using Random Forest to Estimate Low-Cost Sensor PM2.5 from MODIS MAIAC AOD in Kampala.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024
Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, 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
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
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
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018
2017
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
2016
Inf. Sci., 2016
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016
2014
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014