Arjun Pakrashi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
5
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AAAI | Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). | Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane |
| 2023 | ICAART | Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data. | Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee |
| 2022 | SMC | Random Walk-steered Majority Undersampling. | Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee |
| 2020 | ECCV | Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. | John Mitros, Arjun Pakrashi, Brian Mac Namee |
| 2019 | SGAI | CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper). | Arjun Pakrashi, Brian Mac Namee |