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Perez-Ortiz, Maria

  1. Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
    2020/04/12 by Mikhailiuk, Aliaksei, Wilmot, Clifford, Perez-Ortiz, Maria +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
    2024/04/04 by Noah Siegel, Oana-Maria Camburu, Siegel, Noah Y. +5 · 6 citations
    Computer Science · Decision Sciences · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Scientific Computing and Data Management
  3. A practical guide and software for analysing pairwise comparison experiments
    2017/12/11 by Perez-Ortiz, Maria, Mantiuk, Rafal K. · 2 citations
    #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR)
  4. VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement
    2020/11/02 by Sahan Bulathwela, María Pérez‐Ortiz, Bulathwela, Sahan +5 · 2 citations
    Computer Science · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #H.3.1 #Information Retrieval (cs.IR) #K.3.1 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Online Learning and Analytics #Wikis in Education and Collaboration
  5. Stereotype Detection in LLMs: A Multiclass, Explainable, and Benchmark-Driven Approach
    2024/04/02 by Zekun Wu, Wu, Zekun, Sahan Bulathwela +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Natural Language Processing Techniques
  6. The Effect of Model Size on LLM Post-hoc Explainability via LIME
    2024/05/08 by Henning Heyen, Amy Widdicombe, Heyen, Henning +7 · 3 citations
    Medicine · Computer Science · #Lung Cancer Diagnosis and Treatment #Speech Recognition and Synthesis
  7. An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All
    2021/11/16 by Perez-Ortiz, Maria, Novak, Erik, Bulathwela, Sahan +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences
  8. Learning PAC-Bayes Priors for Probabilistic Neural Networks
    2021/09/21 by María Pérez‐Ortiz, Omar Rivasplata, Perez-Ortiz, Maria +13 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  9. TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
    2019/11/21 by Bulathwela, Sahan, Perez-Ortiz, Maria, Yilmaz, Emine +1 · 1 citation
    #Applications (stat.AP) #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #H.3.3 #I.2.0 #Information Retrieval (cs.IR) #J.1 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
    2022/01/10 by Perez-Ortiz, Maria, Bulathwela, Sahan, Dormann, Claire +6 · 1 citation
    #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR)
  11. Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations
    2025/03/17 by Siegel, Noah Y., Heess, Nicolas, Perez-Ortiz, Maria +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7