A Kalman filtering induced heuristic optimization based partitional data clustering A Pakrashi, BB Chaudhuri Information Sciences 369, 704-717, 2016 | 33 | 2016 |
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 | 22 | 2017 |
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 | 22 | 2016 |
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 | 21 | 2019 |
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 | 13 | 2019 |
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 | 10 | 2023 |
Counterfactual explanations for misclassified images: How human and machine explanations differ E Delaney, A Pakrashi, D Greene, MT Keane Artificial Intelligence 324, 103995, 2023 | 9 | 2023 |
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 | 7 | 2022 |
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 | 6 | 2020 |
Assessing Interconnected Factors in CO2 Emissions: A Case Study of India Using Principal Component Analysis Y Zhang, A Pakrashi, S Dev 2023 IEEE 7th Conference on Energy Internet and Energy System Integration …, 2023 | 3 | 2023 |
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 | 3 | 2023 |
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 | 3 | 2021 |
MeetupNet Dublin: Discovering communities in Dublin's meetup network A Pakrashi, E Alghamdi, B Mac Namee, D Greene arXiv preprint arXiv:1810.03046, 2018 | 3 | 2018 |
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 | 2 | 2023 |
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 | 2 | 2020 |
A new hybrid clustering approach based on heuristic kalman algorithm A Pakrashi Swarm, Evolutionary, and Memetic Computing: 5th International Conference …, 2015 | 2 | 2015 |
Nearshore Wave Prediction for renewable energy: Initial Results with Remote Sensing and Buoy Data S Smyth, C O'Sullivan, A Pakrashi, S Dev 2023 IEEE 7th Conference on Energy Internet and Energy System Integration …, 2023 | 1 | 2023 |
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 | 1 | 2021 |
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 | 1 | 2020 |
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 |