• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 25 matches

• 2023
• 
  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: 489-498
• 2022
• 
  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: 70645-70661 (2022)
• 
  Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee:
  Random Walk-steered Majority Undersampling. SMC 2022: 530-537
• 
  Arjun Pakrashi, Ellen Rushe, Mehran Hossein Zadeh Bazargani, Brian Mac Namee:
  The 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, Dublin, Republic of Ireland, December 9-10, 2021. CEUR Workshop Proceedings 3105, CEUR-WS.org 2022 [contents]
• 
  Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
  Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ. CoRR abs/2212.08733 (2022)
• 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 abs/2101.12632 (2021)
• 
  Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee:
  Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data. CoRR abs/2109.12421 (2021)
• 
  Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee:
  Random Walk-steered Majority Undersampling. CoRR abs/2109.12423 (2021)
• 2020
• 
  Arjun Pakrashi, Brian Mac Namee:
  KalmanTune: A Kalman Filter Based Tuning Method to Make Boosted Ensembles Robust to Class-Label Noise. IEEE Access 8: 145887-145897 (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: 71-87
• 
  Luca Longo, Lucas Rizzo, Elizabeth Hunter, Arjun Pakrashi:
  Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020. CEUR Workshop Proceedings 2771, CEUR-WS.org 2020 [contents]
• 
  John Mitros, Arjun Pakrashi, Brian Mac Namee:
  Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. CoRR abs/2009.01798 (2020)
• 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: 456-485 (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: 3-17
• 
  Arjun Pakrashi, Bidyut B. Chaudhuri:
  A Kalman filtering induced heuristic optimization based partitional data clustering. CoRR abs/1901.09082 (2019)
• 
  Arjun Pakrashi, Brian Mac Namee:
  CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification. CoRR abs/1904.10551 (2019)
• 
  Arjun Pakrashi, Brian Mac Namee:
  KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification. CoRR abs/1904.10552 (2019)
• 2018
• 
  Arjun Pakrashi, Elham Alghamdi, Brian Mac Namee, Derek Greene:
  MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. AICS 2018: 114-125
• 
  Arjun Pakrashi, Brian Mac Namee:
  Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters. CoRR abs/1807.11429 (2018)
• 
  Arjun Pakrashi, Elham Alghamdi, Brian Mac Namee, Derek Greene:
  MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. CoRR abs/1810.03046 (2018)
• 2017
• 
  Arjun Pakrashi, Brian Mac Namee:
  Stacked-MLkNN: A stacking based improvement to Multi-Label k-Nearest Neighbours. LIDTA@PKDD/ECML 2017: 51-63
• 2016
• 
  Arjun Pakrashi, Bidyut B. Chaudhuri:
  A Kalman filtering induced heuristic optimization based partitional data clustering. Inf. Sci. 369: 704-717 (2016)
• 
  Arjun Pakrashi, Derek Greene, Brian Mac Namee:
  Benchmarking Multi-label Classification Algorithms. AICS 2016: 149-160
• 2014
• 
  Arjun Pakrashi:
  A New Hybrid Clustering Approach Based on Heuristic Kalman Algorithm. SEMCCO 2014: 445-455