Arjun Pakrashi

39 papers A* 1B 1Journal 21Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-regional CO2 emission forecasting using advanced machine learning and temporal feature engineering.
Environ. Model. Softw.
Yiteng Zhang, Arjun Pakrashi, Soumyabrata Dev
2025 J jnl
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks.
CoRR
Gabriele Sanguin, Arjun Pakrashi, Marco Viola, Francesco Rinaldi
2025 J jnl
MoCLIP-Lite: Efficient Video Recognition by Fusing CLIP with Motion Vectors.
CoRR
Binhua Huang, Ni Wang, Arjun Pakrashi, Soumyabrata Dev
2025 — ed.
Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 9-10, 2024.
AICS
Arjun Pakrashi, Ellen Rushe, Brian Mac Namee, Rob Brennan, Beyza Yaman
2024 A* conf
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint).
AAAI
Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
2024 — conf
Deep Learning-Based Prediction of Short-Term CO2 Emissions in Ireland.
CISP-BMEI
Yiteng Zhang, Arjun Pakrashi, Soumyabrata Dev
2024 — conf
Estimating Global Horizontal Irradiance of Solar Photovoltaic System from Satellite Data.
CISP-BMEI
Deepak Joel Yericherla, Ghanta Sai Krishna, Arjun Pakrashi, Soumyabrata Dev
2024 — conf
Exploring the Impact of SAR Images on Wave Height Prediction Models: A Study Using XAI.
CISP-BMEI
Shane Smyth, Arjun Pakrashi, Soumyabrata Dev
2024 — conf
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks.
AICS
Gabriele Sanguin, Arjun Pakrashi, Marco Viola, Francesco Rinaldi
2024 — conf
Using Random Forest to Estimate Low-Cost Sensor PM2.5 from MODIS MAIAC AOD in Kampala.
CISP-BMEI
Priscilla Adong, Arjun Pakrashi, Soumyabrata Dev
2023 J jnl
Counterfactual explanations for misclassified images: How human and machine explanations differ.
Artif. Intell.
Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
2023 J jnl
CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring.
Frontiers Artif. Intell.
Arjun Pakrashi, Duncan Wallace, Brian Mac Namee, Derek Greene, Christophe Guéret
2023 — conf
Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data.
ICAART (2)
Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee
2023 J jnl
ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter.
SN Comput. Sci.
Arjun Pakrashi, Brian Mac Namee
2022 J jnl
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ.
CoRR
Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
2022 B conf
Random Walk-steered Majority Undersampling.
SMC
Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
2022 — ed.
The 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, Dublin, Republic of Ireland, December 9-10, 2021.
AICS
Arjun Pakrashi, Ellen Rushe, Mehran Hossein Zadeh Bazargani, Brian Mac Namee
2022 J jnl
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection.
IEEE Access
Mehran Hossein Zadeh Bazargani, Arjun Pakrashi, Brian Mac Namee
2021 J jnl
A multi-label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture.
Expert Syst. J. Knowl. Eng.
Arjun Pakrashi, Brian Mac Namee
2021 J jnl
Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data.
CoRR
Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee
2021 — conf
ML-NCA: Multi-label Neighbourhood Component Analysis.
LIDTA@ECML/PKDD
Arjun Pakrashi, Payel Sadhukhan, Brian Mac Namee
2021 J jnl
Random Walk-steered Majority Undersampling.
CoRR
Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
2021 J jnl
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection.
CoRR
Mehran Hossein Zadeh Bazargani, Arjun Pakrashi, Brian Mac Namee
2020 J jnl
KalmanTune: A Kalman Filter Based Tuning Method to Make Boosted Ensembles Robust to Class-Label Noise.
IEEE Access
Arjun Pakrashi, Brian Mac Namee
2020 — ed.
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020.
AICS
Luca Longo, Lucas Rizzo, Elizabeth Hunter, Arjun Pakrashi
2020 — conf
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings.
ECCV Workshops (1)
John Mitros, Arjun Pakrashi, Brian Mac Namee
2020 J jnl
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings.
CoRR
John Mitros, Arjun Pakrashi, Brian Mac Namee
2019 J jnl
A Kalman filtering induced heuristic optimization based partitional data clustering.
CoRR
Arjun Pakrashi, Bidyut B. Chaudhuri
2019 — conf
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper).
SGAI Conf.
Arjun Pakrashi, Brian Mac Namee
2019 J jnl
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification.
CoRR
Arjun Pakrashi, Brian Mac Namee
2019 J jnl
KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification.
CoRR
Arjun Pakrashi, Brian Mac Namee
2019 J jnl
Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters.
Inf. Sci.
Arjun Pakrashi, Brian Mac Namee
2018 J jnl
Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters.
CoRR
Arjun Pakrashi, Brian Mac Namee
2018 — conf
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network.
AICS
Arjun Pakrashi, Elham Abdullah Alghamdi, Brian Mac Namee, Derek Greene
2018 J jnl
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network.
CoRR
Arjun Pakrashi, Elham Abdullah Alghamdi, Brian Mac Namee, Derek Greene
2017 — conf
Stacked-MLkNN: A stacking based improvement to Multi-Label k-Nearest Neighbours.
LIDTA@PKDD/ECML
Arjun Pakrashi, Brian Mac Namee
2016 J jnl
A Kalman filtering induced heuristic optimization based partitional data clustering.
Inf. Sci.
Arjun Pakrashi, Bidyut B. Chaudhuri
2016 — conf
Benchmarking Multi-label Classification Algorithms.
AICS
Arjun Pakrashi, Derek Greene, Brian Mac Namee
2014 — conf
A New Hybrid Clustering Approach Based on Heuristic Kalman Algorithm.
SEMCCO
Arjun Pakrashi