Boubekki, Ahcène

1. Joint Optimization of an Autoencoder for Clustering and Embedding
   2020/12/07 by Boubekki, Ahcène, Kampffmeyer, Michael, Jenssen, Robert +1 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. RELAX: Representation Learning Explainability
   2021/12/19 by Kristoffer Wickstrøm, Wickstrøm, Kristoffer K., Daniel J. Trosten +11 · 1 citation
   Computer Science · Medicine · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging
3. EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods
   2024/05/20 by Clark, Benedict, Wilming, Rick, Dox, Artur +11 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Explainable AI needs formal notions of explanation correctness
   2024/09/22 by Haufe, Stefan, Wilming, Rick, Clark, Benedict +3 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Multi-Depth Concept Extraction for Post-Hoc Vision Encoder Explanation
   2024/11/29 by Ahcène Boubekki, Boubekki, Ahcène, Samuel G. Fadel +3 · 1 citation
   Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Infrared Target Detection Methodologies #Machine Learning (cs.LG) #Neural Networks and Applications