Davis, Jesse
- Machine Learning with a Reject Option: A survey
2021/07/23 by Kilian Hendrickx, Lorenzo Perini, Hendrickx, Kilian +7 · 17 citations
Computer Science · #68T02 #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
2012/06/18 by Kendrick Boyd, Vı́tor Santos Costa, Boyd, Kendrick +6 · 5 citations
Computer Science · Engineering · #AI-based Problem Solving and Planning #Fault Detection and Control Systems #cs.AI #cs.IR #cs.LG
- Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence
2023/10/02 by Wei Sun, Sun, Wei, Mingxiao Li +7 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Encoding Markov Logic Networks in Possibilistic Logic
2015/06/03 by Ondrej Kuzelka, Kuzelka, Ondrej, Jesse Davis +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI
- Induction of Interpretable Possibilistic Logic Theories from Relational\n Data
2017/05/19 by Ondřej Kuželka, Kuzelka, Ondrej, Jesse Davis +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Semantic Web and Ontologies
- Relational Marginal Problems: Theory and Estimation
2017/09/18 by Ondřej Kuželka, Yuyi Wang, Kuzelka, Ondrej +5 · 1 citation
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Multi-Criteria Decision Making
- Learning from Positive and Unlabeled Data under the Selected At Random Assumption
2018/08/27 by Bekker, Jessa, Davis, Jesse · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Versatile Verification of Tree Ensembles
2020/10/26 by Laurens Devos, Devos, Laurens, Wannes Meert +3 · 1 citation
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Biases in Expected Goals Models Confound Finishing Ability
2024/01/18 by Jesse Davis, Davis, Jesse, Pieter Robberechts +1 · 1 voice · 1 citation
Computer Science · Economics, Econometrics and Finance · Mathematics · Medicine · Psychology · #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sport Psychology and Performance #Sports Analytics and Performance #Sports Performance and Training #cs.LG #stat.AP
- Common Data Format (CDF): A Standardized Format for Match-Data in Football (Soccer)
2025/02/06 by Gabriel Anzer, Anzer, Gabriel, Kilian Arnsmeyer +18 · 2 citations
Economics, Econometrics and Finance · Computer Science · #Sports Analytics and Performance #Video Analysis and Summarization #Data Visualization and Analytics
- Faster Repeated Evasion Attacks in Tree Ensembles
2024/02/13 by Lorenzo Cascioli, Cascioli, Lorenzo, Laurens Devos +5 · 1 citation
Environmental Science · Computer Science · #Fire effects on ecosystems #Adversarial Robustness in Machine Learning #Network Security and Intrusion Detection
- Unsupervised Anomaly Detection with Rejection
2023/05/22 by Lorenzo Perini, Perini, Lorenzo, Jesse Davis +1 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection