Marquis, Pierre

1. Trading Complexity for Sparsity in Random Forest Explanations
   2021/08/11 by Gilles Audemard, Audemard, Gilles, Steve Bellart +9 · 8 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #I.2.6
2. On the Computational Intelligibility of Boolean Classifiers
   2021/04/13 by Audemard, Gilles, Bellart, Steve, Bounia, Louenas +3 · 7 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
3. Computing Abductive Explanations for Boosted Trees
   2022/09/16 by Gilles Audemard, Jean-Marie Lagniez, Audemard, Gilles +5 · 7 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management
4. On the Explanatory Power of Decision Trees
   2021/08/11 by Gilles Audemard, Steve Bellart, Audemard, Gilles +9 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #I.2.6
5. Reasoning on Feature Models: Compilation-Based vs. Direct Approaches
   2023/02/14 by Pierre Bourhis, Laurence Duchien, Bourhis, Pierre +9 · 1 citation
   Business, Management and Accounting · Computer Science · #Advanced Software Engineering Methodologies #Business Process Modeling and Analysis #FOS: Computer and information sciences #Service-Oriented Architecture and Web Services #Software Engineering (cs.SE)