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Papers matching “one-hot encoding” 18

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Polar Encoding: A Simple Baseline Approach for Classification With Missing Values
2024 IEEE Transactions on Fuzzy Systems article Computer Science Machine Learning and Data Classification Open access

Oliver Urs Lenz, Daniel Peralta, Chris Cornelis

3

citations
No imputation without representation
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Oliver Urs Lenz, Daniel Peralta, Chris Cornelis

1

citations
Additional file 8 of Machine learning in Huntington’s disease: exploring the Enroll-HD dataset for prognosis and driving capability prediction
2023 Figshare dataset Neuroscience Genetic Neurodegenerative Diseases Open access

Jasper Ouwerkerk, Stephanie Feleus, Kasper F. van der Zwaan, Yunlei Li, Marco Roos, Willeke van Roon‐Mom, +3 more

0

citations
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
2021 Journal of Medical Internet Research review Medicine Cutaneous Melanoma Detection and Management Open access

Julia Höhn, Achim Hekler, Eva Krieghoff‐Henning, Jakob Nikolas Kather, Jochen Sven Utikal, Friedegund Elke Meier, +18 more

66

citations
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review (Preprint)
2020 preprint Medicine Cutaneous Melanoma Detection and Management Open access

Julia Höhn, Achim Hekler, Eva Krieghoff‐Henning, Jakob Nikolas Kather, Jochen Sven Utikal, Friedegund Elke Meier, +18 more

0

citations
Novel calibration design improves knowledge transfer across products for the characterization of pharmaceutical bioprocesses
2024 Biotechnology Journal article Decision Sciences Optimal Experimental Design Methods Open access

Laura M. Helleckes, Claus Wirnsperger, Jakub Polak, Gonzalo Guillén‐Gosálbez, Alessandro Butté, Moritz von Stosch

12

citations
Calibration design for pharmaceutical bioprocesses: A novel approach for knowledge transfer in Design of Experiments
2024 preprint Decision Sciences Optimal Experimental Design Methods Open access

Laura M. Helleckes, Claus Wirnsperger, Jakub Polak, Gonzalo Guillén Gosalbez, Alessandro Butté, Moritz von Stosch

0

citations
Foundations of Machine Learning-Based Clinical Prediction Modeling: Part III—Model Evaluation and Other Points of Significance
2021 Acta neurochirurgica. Supplementum book-chapter Health Professions Artificial Intelligence in Healthcare

Victor E. Staartjes, Julius M. Kernbach

13

citations
No Imputation Without Representation
2024 Communications in computer and information science conference-paper Computer Science Machine Learning and Data Classification Open access

Oliver Urs Lenz, Daniel Peralta, Chris Cornelis

2

citations
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs
2024 arXiv (Cornell University) preprint Medicine COVID-19 diagnosis using AI Open access

Patrick Wienholt, Alexander Hermans, Firas Khader, Behrus Puladi, Bastian Leibe, Christiane Katharina Kuhl, +2 more

0

citations
Empirical Quantum Advantage in Constrained Optimization from Encoded Unitary Designs
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

0

citations
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Jintao Jiang, Yingbo Gao, Zoltán Tüske

0

citations
CimpleG DNAm benchmarking datasets for cell-type classification and deconvolution
2023 Zenodo (CERN European Organization for Nuclear Research) dataset Biochemistry, Genetics and Molecular Biology Epigenetics and DNA Methylation Open access

Tiago Maié, Myriam Erz, Wolfgang Wagner, Ivan G. Costa

0

citations
3DDPDs: describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors
2023 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access

Marina Gorostiola González, Remco L. van den Broek, Magdalini Chatzopoulou, Willem Jespers, Adriaan P. IJzerman, Laura H. Heitman, +1 more

6

citations
3DDPDs: Describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Marina Gorostiola González, Remco L. van den Broek, Magdalini Chatzopoulou, Willem Jespers, Adriaan P. IJzerman, Laura H. Heitman, +1 more

1

citations
Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function
2020 Bioinformatics article Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access

Amelia Villegas-Morcillo, Stavros Makrodimitris, Roeland C. H. J. van Ham, Angel Manuel Gomez, Marcel J. T. Reinders

137

citations
Tight Integrated End-to-End Training for Cascaded Speech Translation
2021 IEEE Spoken Language Technology Workshop (SLT) conference-paper Computer Science Speech Recognition and Synthesis Open access cited by 1 patent

Parnia Bahar, Tobias Bieschke, Ralf Schlüter, Hermann Ney

30

citations
CimpleG DNAm benchmarking datasets for cell-type classification and deconvolution
2023 Zenodo (CERN European Organization for Nuclear Research) dataset Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

Tiago Maié, Myriam Erz, Wolfgang Wagner, Ivan G. Costa

1

citations

18 results