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Journal Articles
- 2023
[j8]Eoin Delaney
, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual explanations for misclassified images: How human and machine explanations differ. Artif. Intell. 324: 103995 (2023)- [j7]Arjun Pakrashi, Duncan Wallace, Brian Mac Namee, Derek Greene, Christophe Guéret:
CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring. Frontiers Artif. Intell. 6 (2023) - [j6]Arjun Pakrashi, Brian Mac Namee:
ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter. SN Comput. Sci. 4(6): 821 (2023) - 2022
- [j5]Mehran Hossein Zadeh Bazargani, Arjun Pakrashi, Brian Mac Namee:
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection. IEEE Access 10: 70645-70661 (2022) - 2021
- [j4]Arjun Pakrashi, Brian Mac Namee:
A multi-label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture. Expert Syst. J. Knowl. Eng. 38(7) (2021) - 2020
- [j3]Arjun Pakrashi, Brian Mac Namee:
KalmanTune: A Kalman Filter Based Tuning Method to Make Boosted Ensembles Robust to Class-Label Noise. IEEE Access 8: 145887-145897 (2020) - 2019
- [j2]Arjun Pakrashi, Brian Mac Namee:
Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters. Inf. Sci. 485: 456-485 (2019) - 2016
- [j1]Arjun Pakrashi, Bidyut B. Chaudhuri:
A Kalman filtering induced heuristic optimization based partitional data clustering. Inf. Sci. 369: 704-717 (2016)
Conference and Workshop Papers
- 2024
- [c10]Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). AAAI 2024: 22696 - 2023
- [c9]Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee:
Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data. ICAART (2) 2023: 489-498 - 2022
- [c8]Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee:
Random Walk-steered Majority Undersampling. SMC 2022: 530-537 - 2021
- [c7]Arjun Pakrashi, Payel Sadhukhan, Brian Mac Namee:
ML-NCA: Multi-label Neighbourhood Component Analysis. LIDTA@ECML/PKDD 2021: 35-48 - 2020
- [c6]John Mitros, Arjun Pakrashi, Brian Mac Namee:
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. ECCV Workshops (1) 2020: 71-87 - 2019
- [c5]Arjun Pakrashi, Brian Mac Namee:
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper). SGAI Conf. 2019: 3-17 - 2018
- [c4]Arjun Pakrashi, Elham Alghamdi, Brian Mac Namee, Derek Greene:
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. AICS 2018: 114-125 - 2017
- [c3]Arjun Pakrashi, Brian Mac Namee:
Stacked-MLkNN: A stacking based improvement to Multi-Label k-Nearest Neighbours. LIDTA@PKDD/ECML 2017: 51-63 - 2016
- [c2]Arjun Pakrashi, Derek Greene, Brian Mac Namee:
Benchmarking Multi-label Classification Algorithms. AICS 2016: 149-160 - 2014
- [c1]Arjun Pakrashi:
A New Hybrid Clustering Approach Based on Heuristic Kalman Algorithm. SEMCCO 2014: 445-455
Editorship
- 2022
- [e2]Arjun Pakrashi, Ellen Rushe, Mehran Hossein Zadeh Bazargani, Brian Mac Namee:
The 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, Dublin, Republic of Ireland, December 9-10, 2021. CEUR Workshop Proceedings 3105, CEUR-WS.org 2022 [contents] - 2020
- [e1]Luca Longo, Lucas Rizzo, Elizabeth Hunter, Arjun Pakrashi:
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020. CEUR Workshop Proceedings 2771, CEUR-WS.org 2020 [contents]
Informal and Other Publications
- 2022
- [i10]Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ. CoRR abs/2212.08733 (2022) - 2021
- [i9]Mehran Hossein Zadeh Bazargani, Arjun Pakrashi, Brian Mac Namee:
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection. CoRR abs/2101.12632 (2021) - [i8]Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee:
Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data. CoRR abs/2109.12421 (2021) - [i7]Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee:
Random Walk-steered Majority Undersampling. CoRR abs/2109.12423 (2021) - 2020
- [i6]John Mitros, Arjun Pakrashi, Brian Mac Namee:
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. CoRR abs/2009.01798 (2020) - 2019
- [i5]Arjun Pakrashi, Bidyut B. Chaudhuri:
A Kalman filtering induced heuristic optimization based partitional data clustering. CoRR abs/1901.09082 (2019) - [i4]Arjun Pakrashi, Brian Mac Namee:
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification. CoRR abs/1904.10551 (2019) - [i3]Arjun Pakrashi, Brian Mac Namee:
KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification. CoRR abs/1904.10552 (2019) - 2018
- [i2]Arjun Pakrashi, Brian Mac Namee:
Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters. CoRR abs/1807.11429 (2018) - [i1]Arjun Pakrashi, Elham Alghamdi, Brian Mac Namee, Derek Greene:
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. CoRR abs/1810.03046 (2018)
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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