publications

Journal articles

1. SNCS

   ML-KFHE: Multi-label ensemble classification algorithm exploiting sensor fusion properties of the Kalman filter

   Arjun Pakrashi, and Brian Mac Namee

   SN Computer Science, 2023

   Bib HTML

   @article{pakrashi2023ml,
     title = {ML-KFHE: Multi-label ensemble classification algorithm exploiting sensor fusion properties of the Kalman filter},
     author = {Pakrashi, Arjun and Mac Namee, Brian},
     journal = {SN Computer Science},
     volume = {4},
     number = {6},
     pages = {821},
     year = {2023},
     publisher = {Springer Nature Singapore Singapore},
     doi = {https://doi.org/10.1007/s42979-023-02280-4},
   }

2. AIJ

   Counterfactual explanations for misclassified images: How human and machine explanations differ

   Eoin Delaney, Arjun Pakrashi, Derek Greene, and Mark T Keane

   Artificial Intelligence, 2023

   Bib HTML

   @article{delaney2023counterfactual,
     title = {Counterfactual explanations for misclassified images: How human and machine explanations differ},
     author = {Delaney, Eoin and Pakrashi, Arjun and Greene, Derek and Keane, Mark T},
     journal = {Artificial Intelligence},
     volume = {324},
     pages = {103995},
     year = {2023},
     publisher = {Elsevier},
     doi = {https://doi.org/10.1016/j.artint.2023.103995},
   }

3. JDS

   Early detection of subclinical mastitis in lactating dairy cows using cow-level features

   Arjun Pakrashi, Cathal Ryan, Christophe Guéret, DP Berry, Medb Corcoran, Mark T Keane, and Brian Mac Namee

   Journal of Dairy Science, 2023

   Bib HTML

   @article{pakrashi2023early,
     title = {Early detection of subclinical mastitis in lactating dairy cows using cow-level features},
     author = {Pakrashi, Arjun and Ryan, Cathal and Gu{\'e}ret, Christophe and Berry, DP and Corcoran, Medb and Keane, Mark T and Mac Namee, Brian},
     journal = {Journal of Dairy Science},
     volume = {106},
     number = {7},
     pages = {4978--4990},
     year = {2023},
     publisher = {Elsevier},
     doi = {https://doi.org/10.3168/jds.2022-22803},
   }

4. FRAI

   CowMesh: A Data-mesh Architecture to Unify Dairy Industry Data for Prediction and Monitoring

   Arjun Pakrashi, Duncan Wallace, Brian Mac Namee, Derek Greene, and Christophe Guéret

   Frontiers in Artificial Intelligence, 2023

   Bib HTML

   @article{pakrashi2023cowmesh,
     title = {CowMesh: A Data-mesh Architecture to Unify Dairy Industry Data for Prediction and Monitoring},
     author = {Pakrashi, Arjun and Wallace, Duncan and Namee, Brian Mac and Greene, Derek and Gu{\'e}ret, Christophe},
     journal = {Frontiers in Artificial Intelligence},
     volume = {6},
     pages = {1209507},
     year = {2023},
     publisher = {Frontiers},
     doi = {https://doi.org/10.3389/frai.2023.1209507},
   }

5. IEEE Access

   The deep radial basis function data descriptor (D-RBFDD) network: a one-class neural network for anomaly detection

   Mehran Hossein Zadeh Bazargani, Arjun Pakrashi, and Brian Mac Namee

   IEEE Access, 2022

   Bib HTML

   @article{bazargani2022deep,
     title = {The deep radial basis function data descriptor (D-RBFDD) network: a one-class neural network for anomaly detection},
     author = {Bazargani, Mehran Hossein Zadeh and Pakrashi, Arjun and Mac Namee, Brian},
     journal = {IEEE Access},
     volume = {10},
     pages = {70645--70661},
     year = {2022},
     publisher = {IEEE},
     doi = {https://doi.org/10.1109/ACCESS.2022.3187961},
   }

6. EXSY

   A multi-label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture

   Arjun Pakrashi, and Brian Mac Namee

   Expert Systems, 2021

   Bib HTML

   @article{pakrashi2021multi,
     title = {A multi-label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture},
     author = {Pakrashi, Arjun and Mac Namee, Brian},
     journal = {Expert Systems},
     volume = {38},
     number = {7},
     pages = {e12671},
     year = {2021},
     publisher = {Wiley Online Library},
     doi = {doi.org/10.1111/exsy.12671},
   }

7. IEEE Access

   KalmanTune: A Kalman filter based tuning method to make boosted ensembles robust to class-label noise

   Arjun Pakrashi, and Brian Mac Namee

   IEEE Access, 2020

   Bib HTML

   @article{pakrashi2020kalmantune,
     title = {KalmanTune: A Kalman filter based tuning method to make boosted ensembles robust to class-label noise},
     author = {Pakrashi, Arjun and Mac Namee, Brian},
     journal = {IEEE Access},
     volume = {8},
     pages = {145887--145897},
     year = {2020},
     publisher = {IEEE},
     doi = {https://doi.org/10.1109/ACCESS.2020.3013908},
   }

8. INFSC

   Kalman filter-based heuristic ensemble (KFHE): A new perspective on multi-class ensemble classification using kalman filters

   Arjun Pakrashi, and Brian Mac Namee

   Information Sciences, 2019

   Bib HTML

   @article{pakrashi2019kalman,
     title = {Kalman filter-based heuristic ensemble (KFHE): A new perspective on multi-class ensemble classification using kalman filters},
     author = {Pakrashi, Arjun and Mac Namee, Brian},
     journal = {Information Sciences},
     volume = {485},
     pages = {456--485},
     year = {2019},
     publisher = {Elsevier},
     doi = {https://doi.org/10.1016/j.ins.2019.02.017},
   }

9. INFSC

   A Kalman filtering induced heuristic optimization based partitional data clustering

   Arjun Pakrashi, and Bidyut B Chaudhuri

   Information Sciences, 2016

   Bib HTML

   @article{pakrashi2016kalman,
     title = {A Kalman filtering induced heuristic optimization based partitional data clustering},
     author = {Pakrashi, Arjun and Chaudhuri, Bidyut B},
     journal = {Information Sciences},
     volume = {369},
     pages = {704--717},
     year = {2016},
     publisher = {Elsevier},
     doi = {https://doi.org/10.1016/j.ins.2016.07.057},
   }

Conference and Workshop Articles

1. AAAI

   Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint)

   Eoin Delaney, Arjun Pakrashi, Derek Greene, and Mark T Keane

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2024

   Bib

   @inproceedings{delaney2024counterfactual,
     title = {Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint)},
     author = {Delaney, Eoin and Pakrashi, Arjun and Greene, Derek and Keane, Mark T},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
     volume = {38},
     number = {20},
     pages = {22696--22696},
     year = {2024},
   }

2. ICAART

   Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data

   Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, and Brian Mac Namee

   In 15th International Conference on Agents and Artificial Intelligence (ICAART), 2023

   Bib HTML

   @inproceedings{sadhukhan2023integrating,
     title = {Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data},
     author = {Sadhukhan, Payel and Pakrashi, Arjun and Palit, Sarbani and Mac Namee, Brian},
     booktitle = {15th International Conference on Agents and Artificial Intelligence  (ICAART)},
     volume = {2},
     pages = {489--498},
     year = {2023},
     doi = {https://doi.org/10.5220/0011901200003393},
   }

3. EI2

   Assessing Interconnected Factors in CO 2 Emissions: A Case Study of India Using Principal Component Analysis

   Yiteng Zhang, Arjun Pakrashi, and Soumyabrata Dev

   In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2), 2023

   Bib HTML

   @inproceedings{zhang2023assessing,
     title = {Assessing Interconnected Factors in CO 2 Emissions: A Case Study of India Using Principal Component Analysis},
     author = {Zhang, Yiteng and Pakrashi, Arjun and Dev, Soumyabrata},
     booktitle = {2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)},
     pages = {2163--2167},
     year = {2023},
     organization = {IEEE},
     doi = {https://doi.org/10.1109/EI259745.2023.10513351},
   }

4. EI2

   Nearshore Wave Prediction for renewable energy: Initial Results with Remote Sensing and Buoy Data

   Shane Smyth, Conor O’Sullivan, Arjun Pakrashi, and Soumyabrata Dev

   In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2), 2023

   Bib HTML

   @inproceedings{smyth2023nearshore,
     title = {Nearshore Wave Prediction for renewable energy: Initial Results with Remote Sensing and Buoy Data},
     author = {Smyth, Shane and O'Sullivan, Conor and Pakrashi, Arjun and Dev, Soumyabrata},
     booktitle = {2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)},
     pages = {1930--1935},
     year = {2023},
     organization = {IEEE},
     doi = {https://doi.org/10.1109/EI259745.2023.10513266},
   }

5. IEESMC

   Random Walk-steered Majority Undersampling

   Payel Sadhukhan, Arjun Pakrashi, and Brian Mac Namee

   In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022

   Bib HTML

   @inproceedings{sadhukhan2022random,
     title = {Random Walk-steered Majority Undersampling},
     author = {Sadhukhan, Payel and Pakrashi, Arjun and Mac Namee, Brian},
     booktitle = {2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
     pages = {530--537},
     year = {2022},
     organization = {IEEE},
     doi = {https://doi.org/10.1109/SMC53654.2022.9945451},
   }

6. NLDL

   Training with single class images and Generalizing for multi-class images using Kasami Orthogonal Classification Layer

   Mohamed Saadeldin, Ammar Khairi, Amel AbdElraheem, Arjun Pakrashi, and Brian Mac Namee

   In Northern Lights Deep Learning Conference 2022, 2022

   Bib

   @inproceedings{saadeldin2022training,
     title = {Training with single class images and Generalizing for multi-class images using Kasami Orthogonal Classification Layer},
     author = {Saadeldin, Mohamed and Khairi, Ammar and AbdElraheem, Amel and Pakrashi, Arjun and Mac Namee, Brian},
     booktitle = {Northern Lights Deep Learning Conference 2022},
     year = {2022},
   }

7. ECML

   ML-NCA: Multi-label neighbourhood component analysis

   Arjun Pakrashi, Sayel Sadhukhan, and Brian Mac Namee

   In Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

   Bib PDF

   @inproceedings{pakrashi2021ml,
     title = {ML-NCA: Multi-label neighbourhood component analysis},
     author = {Pakrashi, Arjun and Sadhukhan, Sayel and Mac Namee, Brian},
     booktitle = {Third International Workshop on Learning with Imbalanced Domains: Theory and Applications},
     pages = {35--48},
     year = {2021},
     organization = {PMLR},
     publisher = {PMLR},
   }

8. ECCV

   Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings

   John Mitros, Arjun Pakrashi, and Brian Mac Namee

   In Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16, 2020

   Bib HTML

   @inproceedings{mitros2020ramifications,
     title = {Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings},
     author = {Mitros, John and Pakrashi, Arjun and Namee, Brian Mac},
     booktitle = {Computer Vision--ECCV 2020 Workshops: Glasgow, UK, August 23--28, 2020, Proceedings, Part I 16},
     pages = {71--87},
     year = {2020},
     organization = {Springer International Publishing},
     doi = {https://doi.org/10.1007/978-3-030-66415-2_5},
   }

9. ICML

   A Comparison of Bayesian Deep Learning for Out of Distribution Detection and Uncertainty Estimation

   John Mitros, Arjun Pakrashi, and Brian Mac Namee

   In ICML Workshop on Uncertainty & Robustness in Deep Learning, 2020

   Bib PDF

   @inproceedings{mitros2020comparison,
     title = {A Comparison of Bayesian Deep Learning for Out of Distribution Detection and Uncertainty Estimation},
     author = {Mitros, John and Pakrashi, Arjun and Mac Namee, Brian},
     booktitle = {ICML Workshop on Uncertainty \& Robustness in Deep Learning},
     year = {2020},
   }

10. SGAI

    CascadeML: An automatic neural network architecture evolution and training algorithm for multi-label classification (best technical paper)

    Arjun Pakrashi, and Brian Mac Namee

    In Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings 39, 2019

    Bib HTML

    @inproceedings{pakrashi2019cascademl,
      title = {CascadeML: An automatic neural network architecture evolution and training algorithm for multi-label classification (best technical paper)},
      author = {Pakrashi, Arjun and Mac Namee, Brian},
      booktitle = {Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17--19, 2019, Proceedings 39},
      pages = {3--17},
      year = {2019},
      organization = {Springer International Publishing},
      doi = {https://doi.org/10.1007/978-3-030-34885-4_1},
    }

11. AICS

    MeetupNet Dublin: Discovering communities in Dublin’s meetup network

    Arjun Pakrashi, Elham Alghamdi, Brian Mac Namee, and Derek Greene

    In , 2018

    Bib PDF

    @inproceedings{pakrashi2018meetupnet,
      title = {MeetupNet Dublin: Discovering communities in Dublin's meetup network},
      author = {Pakrashi, Arjun and Alghamdi, Elham and Mac Namee, Brian and Greene, Derek},
      journal = {Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science},
      year = {2018},
    }

12. ECML

    Stacked-MLkNN: a stacking based improvement to multi-label k-nearest neighbours

    Arjun Pakrashi, and Brian Mac Namee

    In First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

    Bib HTML PDF

    @inproceedings{pakrashi2017stacked,
      title = {Stacked-MLkNN: a stacking based improvement to multi-label k-nearest neighbours},
      author = {Pakrashi, Arjun and Mac Namee, Brian},
      booktitle = {First International Workshop on Learning with Imbalanced Domains: Theory and Applications},
      pages = {51--63},
      year = {2017},
      organization = {PMLR},
    }

13. AICS

    Benchmarking multi-label classification algorithms

    Arjun Pakrashi, Derek Greene, and Brian MacNamee

    In Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

    Bib PDF

    @inproceedings{pakrashi2016benchmarking,
      title = {Benchmarking multi-label classification algorithms},
      author = {Pakrashi, Arjun and Greene, Derek and MacNamee, Brian},
      booktitle = {Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science},
      year = {2016},
      organization = {CEUR Workshop Proceedings},
    }

14. SEMCCO

    A new hybrid clustering approach based on heuristic kalman algorithm

    Arjun Pakrashi

    In Swarm, Evolutionary, and Memetic Computing: 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers 5, 2015

    Bib HTML

    @inproceedings{pakrashi2015new,
      title = {A new hybrid clustering approach based on heuristic kalman algorithm},
      author = {Pakrashi, Arjun},
      booktitle = {Swarm, Evolutionary, and Memetic Computing: 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers 5},
      pages = {445--455},
      year = {2015},
      organization = {Springer International Publishing},
      doi = {https://doi.org/10.1007/978-3-319-20294-5_39},
    }

Miscellaneous

1. Preface

   Preface: Proceedings of The 29th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 9-10, 2021.

   Arjun Pakrashi, Ellen Rushe, Mehran Hossein Zadeh Bazargani, and Brian Mac Namee

   2022

   Bib PDF

   @misc{pakrashi2022preface,
     title = {Preface: Proceedings of The 29th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 9-10, 2021.},
     author = {Pakrashi, Arjun and Rushe, Ellen and Hossein Zadeh Bazargani, Mehran and Mac Namee, Brian},
     journal = {https://ceur-ws.org/Vol-3105/preface.pdf},
     year = {2022},
   }

2. Preface

   Preface: Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020.

   Luca Longo, Lucas Rizzo, Elizabeth Hunter, and Arjun Pakrashi

   2020

   Bib PDF

   @misc{longo2020preface,
     title = {Preface: Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020.},
     author = {Longo, Luca and Rizzo, Lucas and Hunter, Elizabeth and Pakrashi, Arjun},
     journal = {http://ceur-ws.org/Vol-2771/preface.pdf},
     year = {2020},
   }

Theses

1. PhD

   Improving multi-label classification using inter-label associations and a new Kalman filter based ensemble method

   Arjun Pakrashi

   University College Dublin. School of Computer Science, 2020

   Bib

   @phdthesis{pakrashi2020improving,
     title = {Improving multi-label classification using inter-label associations and a new Kalman filter based ensemble method},
     author = {Pakrashi, Arjun},
     year = {2020},
     school = {University College Dublin. School of Computer Science},
   }