• 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 248 matches

• 2024
• 
  Kacper Sokol, Peter A. Flach:
  Interpretable representations in explainable AI: from theory to practice. Data Min. Knowl. Discov. 38(5): 3102-3140 (2024)
• 
  Paul-Gauthier Noé, Miquel Perelló-Nieto, Jean-François Bonastre, Peter A. Flach:
  Explaining a Probabilistic Prediction on the Simplex with Shapley Compositions. ECAI 2024: 1124-1131
• 
  Jose M. Alonso-Moral, Zach Anthis, Rafael Berlanga, Alejandro Catalá, Philipp Cimiano, Peter Flach, Eyke Hüllermeier, Tim Miller, Oana Mitrut, Dimitry Mindlin, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Kacper Sokol, Aitor Soroa:
  Proceedings of the First Multimodal, Affective and Interactive eXplainable AI Workshop (MAI-XAI24 2024) co-located with 27th European Conference On Artificial Intelligence 19-24 October 2024 (ECAI 2024), Santiago de Compostela, Spain, October 19, 2024. CEUR Workshop Proceedings 3803, CEUR-WS.org 2024 [contents]
• 
  Paul-Gauthier Noé, Miquel Perelló-Nieto, Jean-François Bonastre, Peter A. Flach:
  Explaining a probabilistic prediction on the simplex with Shapley compositions. CoRR abs/2408.01382 (2024)
• 
  Wolfgang Flachberger, Thomas Antretter, Daniel Acosta-Soba, Swaroop Gaddikere-Nagaraja, Silvia Leitner, Manuel Petersmann, Jiri Svoboda:
  A Novel Methodology for Modelling First and Second Order Phase Transformations - Thermodynamic Aspects, Variational Methods and Applications. CoRR abs/2411.16430 (2024)
• 2023
• 
  Katarzyna Stawarz, Dmitri S. Katz, Amid Ayobi, Paul Marshall, Taku Yamagata, Raúl Santos-Rodríguez, Peter A. Flach, Aisling Ann O'Kane:
  Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making. Int. J. Hum. Comput. Stud. 173: 103003 (2023)
• 
  Haixia Bi, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Peter A. Flach, Ian Craddock:
  An active semi-supervised deep learning model for human activity recognition. J. Ambient Intell. Humaniz. Comput. 14(10): 13049-13065 (2023)
• 
  Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach:
  Classifier calibration: a survey on how to assess and improve predicted class probabilities. Mach. Learn. 112(9): 3211-3260 (2023)
• 
  Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Peter A. Flach, Raúl Santos-Rodríguez:
  Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. CIKM 2023: 3833-3837
• 
  Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Weisong Yang, Peter A. Flach:
  When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. PerCom Workshops 2023: 527-533
• 
  Peter A. Flach, Kacper Sokol, Jan Wielemaker:
  Simply Logical - The First Three Decades. Prolog: The Next 50 Years 2023: 184-193
• 
  Taku Yamagata, Emma L. Tonkin, Benjamin Arana Sanchez, Ian Craddock, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Weisong Yang, Peter A. Flach:
  When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. CoRR abs/2302.02706 (2023)
• 
  Tashi Namgyal, Peter A. Flach, Raúl Santos-Rodríguez:
  MIDI-Draw: Sketching to Control Melody Generation. CoRR abs/2305.11605 (2023)
• 
  Torty Sivill, Peter A. Flach:
  Shapley Sets: Feature Attribution via Recursive Function Decomposition. CoRR abs/2307.01777 (2023)
• 2022
• 
  Peter A. Flach:
  Empirical Evaluation of Predictive Models: A keynote at ECIR 2022. SIGIR Forum 56(1): 2:1-2:5 (2022)
• 
  Kacper Sokol, Raúl Santos-Rodríguez, Peter A. Flach:
  FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency. Softw. Impacts 14: 100406 (2022)
• 
  Torty Sivill, Peter A. Flach:
  LIMESegment: Meaningful, Realistic Time Series Explanations. AISTATS 2022: 3418-3433
• 
  Yu Chen, Peter A. Flach:
  Self-Enhancer: A Self-supervised Framework for Low-Supervision, Drifted Data with Significant Missing Values. ICANN (4) 2022: 455-458
• 
  Taku Yamagata, Raúl Santos-Rodríguez, Robert J. Piechocki, Peter A. Flach:
  Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm. ICANN (2) 2022: 111-122
• 
  Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez:
  The Weak Supervision Landscape. PerCom Workshops 2022: 218-223
• 
  Peter A. Flach, Kacper Sokol:
  Simply Logical - Intelligent Reasoning by Example (Fully Interactive Online Edition). Zenodo, 2022 
• 
  Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodriguez, Peter A. Flach:
  What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components. Zenodo, 2022 
• 
  Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez:
  The Weak Supervision Landscape. CoRR abs/2203.16282 (2022)
• 
  Peter A. Flach, Kacper Sokol:
  Simply Logical - Intelligent Reasoning by Example (Fully Interactive Online Edition). CoRR abs/2208.06823 (2022)
• 
  Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach:
  FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. CoRR abs/2209.03805 (2022)
• 
  Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter A. Flach:
  What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components. CoRR abs/2209.03813 (2022)
• 2021
• 
  Hao Song, Peter A. Flach:
  Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing. Int. J. Interact. Multim. Artif. Intell. 6(5): 110-118 (2021)
• 
  Reem Alotaibi, Peter A. Flach:
  Multi-label thresholding for cost-sensitive classification. Neurocomputing 436: 232-247 (2021)
• 
  Amid Ayobi, Katarzyna Stawarz, Dmitri S. Katz, Paul Marshall, Taku Yamagata, Raúl Santos-Rodríguez, Peter A. Flach, Aisling Ann O'Kane:
  Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 457:1-457:26 (2021)
• 
  Haixia Bi, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Peter A. Flach:
  Human Activity Recognition Based on Dynamic Active Learning. IEEE J. Biomed. Health Informatics 25(4): 922-934 (2021)

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