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Arjun Pakrashi
Arjun Pakrashi
Assistant Professor, University College Dublin, School of Computer Science
Verified email at ucd.ie
Title
Cited by
Cited by
Year
A Kalman filtering induced heuristic optimization based partitional data clustering
A Pakrashi, BB Chaudhuri
Information Sciences 369, 704-717, 2016
322016
Benchmarking multi-label classification algorithms
A Pakrashi, D Greene, B MacNamee
Greene, D., Mac Namee, B. and Ross, R.(eds). Proceedings of the 24th Irish …, 2016
222016
Kalman filter-based heuristic ensemble (KFHE): A new perspective on multi-class ensemble classification using kalman filters
A Pakrashi, B Mac Namee
Information Sciences 485, 456-485, 2019
212019
Stacked-MLkNN: a stacking based improvement to multi-label k-nearest neighbours
A Pakrashi, B Mac Namee
First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017
172017
CascadeML: An automatic neural network architecture evolution and training algorithm for multi-label classification (best technical paper)
A Pakrashi, B Mac Namee
🏆 Artificial Intelligence XXXVI: 39th SGAI International Conference on …, 2019
132019
KalmanTune: A Kalman filter based tuning method to make boosted ensembles robust to class-label noise
A Pakrashi, B Mac Namee
IEEE Access 8, 145887-145897, 2020
62020
The deep radial basis function data descriptor (D-RBFDD) network: a one-class neural network for anomaly detection
MHZ Bazargani, A Pakrashi, B Mac Namee
IEEE Access 10, 70645-70661, 2022
52022
Counterfactual explanations for misclassified images: How human and machine explanations differ
E Delaney, A Pakrashi, D Greene, MT Keane
Artificial Intelligence 324, 103995, 2023
42023
Early detection of subclinical mastitis in lactating dairy cows using cow-level features
A Pakrashi, C Ryan, C Guéret, DP Berry, M Corcoran, MT Keane, ...
Journal of Dairy Science 106 (7), 4978-4990, 2023
42023
A multi‐label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture
A Pakrashi, B Mac Namee
Expert Systems 38 (7), e12671, 2021
32021
MeetupNet Dublin: Discovering communities in Dublin's meetup network
A Pakrashi, E Alghamdi, B Mac Namee, D Greene
arXiv preprint arXiv:1810.03046, 2018
32018
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings
J Mitros, A Pakrashi, BM Namee
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
22020
A new hybrid clustering approach based on heuristic kalman algorithm
A Pakrashi
Swarm, Evolutionary, and Memetic Computing: 5th International Conference …, 2015
22015
CowMesh: A Data-mesh Architecture to Unify Dairy Industry Data for Prediction and Monitoring
A Pakrashi, D Wallace, BM Namee, D Greene, C Guéret
Frontiers in Artificial Intelligence 6, 1209507, 2023
12023
Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data
P Sadhukhan, A Pakrashi, S Palit, B Mac Namee
15th International Conference on Agents and Artificial Intelligence (ICAART …, 2023
12023
ML-NCA: Multi-label neighbourhood component analysis
A Pakrashi, S Sadhukhan, B Mac Namee
Third International Workshop on Learning with Imbalanced Domains: Theory and …, 2021
12021
A Comparison of Bayesian Deep Learning for Out of Distribution Detection and Uncertainty Estimation
J Mitros, A Pakrashi, B Mac Namee
ICML Workshop on Uncertainty & Robustness in Deep Learning, 2020
12020
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint)
E Delaney, A Pakrashi, D Greene, MT Keane
Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22696 …, 2024
2024
ML-KFHE: Multi-label ensemble classification algorithm exploiting sensor fusion properties of the Kalman filter
A Pakrashi, B Mac Namee
SN Computer Science 4 (6), 821, 2023
2023
Random Walk-steered Majority Undersampling
P Sadhukhan, A Pakrashi, B Mac Namee
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022
2022
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