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Chan, Jeffrey

  1. A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
    2018/02/16 by Chan, Jeffrey, Perrone, Valerio, Spence, Jeffrey P. +3 · 4 citations
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Populations and Evolution (q-bio.PE)
  2. Ground Truth Bias in External Cluster Validity Indices
    2016/06/17 by Lei, Yang, Bezdek, James C., Romano, Simone +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Two-Locus Likelihoods under Variable Population Size and Fine-Scale\n Recombination Rate Estimation
    2015/10/20 by Jack Kamm, Jeffrey P. Spence, Kamm, John A. +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Evolution and Genetic Dynamics #Genetic diversity and population structure #Genomics and Phylogenetic Studies
  4. Flight Delay Prediction using Airport Situational Awareness Map
    2019/11/05 by Shao, Wei, Prabowo, Arian, Zhao, Sichen +6 · 1 citation
    #Computers and Society (cs.CY) #FOS: Computer and information sciences
  5. Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems
    2023/04/15 by Xuan, Yueqing, Sokol, Kacper, Sanderson, Mark +1 · 1 citation
    #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  6. PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
    2025/06/05 by Ma, Chenglong, Xu, Ziqi, Ren, Yongli +2 · 5 citations
    #FOS: Computer and information sciences #H.3.3 #Information Retrieval (cs.IR)
  7. Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse
    2024/10/03 by Xuan, Yueqing, Sokol, Kacper, Sanderson, Mark +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings
    2024/12/17 by Lam Ngo, Ngo, Lam, Huong Ha +5 · 3 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #Machine Learning and Algorithms
  9. Watch Out E-scooter Coming Through: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders Ego-centric Views
    2025/02/24 by Kegalle, Hiruni Nuwanthika, Hettiachchi, Danula, Chan, Jeffrey +2 · 1 citation
    #Computers and Society (cs.CY) #FOS: Computer and information sciences