Arjun Pakrashi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 27

Top Topics

Top Venues

Publications

Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). AAAI (2024)
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)
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) (2023)
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)
Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
Counterfactual explanations for misclassified images: How human and machine explanations differ. Artif. Intell. 324 (2023)
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 (2022)
Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
Random Walk-steered Majority Undersampling. SMC (2022)
Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ. CoRR (2022)
Arjun Pakrashi, Payel Sadhukhan, Brian Mac Namee
ML-NCA: Multi-label Neighbourhood Component Analysis. LIDTA@ECML/PKDD (2021)
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)
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 (2021)
Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
Random Walk-steered Majority Undersampling. CoRR (2021)
Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee
Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data. CoRR (2021)
Arjun Pakrashi, Brian Mac Namee
KalmanTune: A Kalman Filter Based Tuning Method to Make Boosted Ensembles Robust to Class-Label Noise. IEEE Access 8 (2020)
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)
John Mitros, Arjun Pakrashi, Brian Mac Namee
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. CoRR (2020)
Arjun Pakrashi, Brian Mac Namee
KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification. CoRR (2019)
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)
Arjun Pakrashi, Bidyut B. Chaudhuri
A Kalman filtering induced heuristic optimization based partitional data clustering. CoRR (2019)
Arjun Pakrashi, Brian Mac Namee
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification. CoRR (2019)
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 (2019)
Arjun Pakrashi, Elham Alghamdi, Brian Mac Namee, Derek Greene
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. AICS (2018)
Arjun Pakrashi, Brian Mac Namee
Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters. CoRR (2018)
Arjun Pakrashi, Elham Alghamdi, Brian Mac Namee, Derek Greene
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. CoRR (2018)
Arjun Pakrashi, Brian Mac Namee
Stacked-MLkNN: A stacking based improvement to Multi-Label k-Nearest Neighbours. LIDTA@PKDD/ECML (2017)
Arjun Pakrashi, Bidyut B. Chaudhuri
A Kalman filtering induced heuristic optimization based partitional data clustering. Inf. Sci. 369 (2016)
Arjun Pakrashi, Derek Greene, Brian Mac Namee
Benchmarking Multi-label Classification Algorithms. AICS (2016)
Arjun Pakrashi
A New Hybrid Clustering Approach Based on Heuristic Kalman Algorithm. SEMCCO (2014)