De Baets, Bernard
- A two-step learning approach for solving full and almost full cold start problems in dyadic prediction
2014/05/17 by Tapio Pahikkala, Michiel Stock, Pahikkala, Tapio +9 · 1 citation
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Tensor decomposition and applications
- The Hyperdimensional Transform: a Holographic Representation of Functions
2023/10/24 by Dewulf, Pieter, Stock, Michiel, De Baets, Bernard · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data
2024/02/27 by Michiel Stock, Stock, Michiel, Dimitri Boeckaerts +11 · 2 citations
Computer Science · #Distributed and Parallel Computing Systems
- RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps
2023/03/08 by Leonardo Scabini, Kallil M. Zielinski, Scabini, Leonardo +9 · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #I.2.10 #I.2.6 #I.4.10 #I.4.7 #I.5.1 #I.5.2 #I.5.4 #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
- A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis
2024/06/10 by Leonardo Scabini, Scabini, Leonardo, Andre Sacilotti +9 · 2 citations
Computer Science · #Image Processing and 3D Reconstruction
- Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data
2012/09/21 by Pahikkala, Tapio, Airola, Antti, Stock, Michiel +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Identification of functionally related enzymes by learning-to-rank methods
2014/05/17 by Stock, Michiel, Fober, Thomas, Hüllermeier, Eyke +6 · 1 citation
#Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM) #and Science (cs.CE)
- Conditional validity of heteroskedastic conformal regression
2023/09/15 by Nicolas Dewolf, Bernard De Baets, Dewolf, Nicolas +3 · 1 citation
Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference