Nalepa, Jakub

1. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
   2018/11/05 by Bakas, Spyridon, Reyes, Mauricio, Jakab, Andras +421 · 42 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry
   2024/06/25 by Krzysztof Kotowski, Kotowski, Krzysztof, Christoph Haskamp +20 · 1 voice · 2 citations
   Computer Science · Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #GNSS positioning and interference #Machine Learning (cs.LG) #Space exploration and regulation #Spacecraft Design and Technology #cs.AI #cs.LG
3. In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods
   2024/07/22 by Artur Miroszewski, Miroszewski, Artur, Marco Fellous Asiani +7 · 4 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
4. Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines
   2023/02/16 by Artur Miroszewski, Jakub Mielczarek, Miroszewski, Artur +11 · 1 citation
   Biochemistry, Genetics and Molecular Biology · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Quantum Physics (quant-ph) #Spectroscopy Techniques in Biomedical and Chemical Research
5. Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks
   2018/10/24 by Pablo Ribalta Lorenzo, Łukasz Tulczyjew, Lorenzo, Pablo Ribalta +5 · 1 citation
   Chemistry · Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Remote-Sensing Image Classification #Spectroscopy and Chemometric Analyses