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Papers matching “multi-class classification” 26

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Truly Unordered Probabilistic Rule Sets for Multi-class Classification
2022 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Lincen Yang, Matthijs van Leeuwen

0

citations
Truly Unordered Probabilistic Rule Sets for Multi-class Classification
2023 Lecture notes in computer science conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Lincen Yang, Matthijs van Leeuwen

6

citations
Deep learning for multi-class semantic segmentation enables colorectal cancer detection and classification in digital pathology images
2023 Scientific Reports article Computer Science AI in cancer detection Open access

John‐Melle Bokhorst, Irıs D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma E. Mesker, Michael Vieth, +2 more

59

citations
Convergence rates of deep ReLU networks for multiclass classification
2022 Electronic Journal of Statistics article Computer Science Stochastic Gradient Optimization Techniques Open access

Thijs Bos, Johannes Schmidt-Hieber

21

citations
Convergence rates of deep ReLU networks for multiclass classification
2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Thijs Bos, Johannes Schmidt-Hieber

0

citations
First Step Towards EXPLAINable DGA Multiclass Classification
2021 International Conference on Availability, Reliability and Security (ARES) conference-paper Computer Science Advanced Malware Detection Techniques Open access

18

citations
First Step Towards EXPLAINable DGA Multiclass Classification
2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Malware Detection Techniques

Arthur Drichel, Nils Faerber, Ulrike Meyer

15

citations
Extended Abstract: A Transfer Learning-Based Training Approach for DGA Classification
2024 Lecture notes in computer science conference-paper Computer Science Machine Learning and Data Classification

Arthur Drichel, Benedikt von Querfurth, Ulrike Meyer

1

citations
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
2025 conference-paper Computer Science Network Security and Intrusion Detection

Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Qi Hu, Yan Li, Chang Liu

3

citations
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
2025 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Yan Li, Chang Liu

1

citations
Making use of NXt to nothing
2020 International Conference on Availability, Reliability and Security (ARES) conference-paper Computer Science Advanced Malware Detection Techniques Open access

Arthur Drichel, Ulrike Meyer, Samuel Schüppen, Dominik Teubert

16

citations
Automated color detection in orchids using color labels and deep learning
2021 PLoS ONE article Computer Science Advanced Neural Network Applications Open access

Diah Harnoni Apriyanti, Luuk Spreeuwers, Peter Lucas, Raymond N. J. Veldhuis

23

citations
Binning high-dimensional classifier output for HEP analyses through a clustering algorithm
2024 EPJ Web of Conferences conference-paper Computer Science Neural Networks and Applications Open access

S. Diekmann, N. Eich, Martin Erdmann

1

citations
Probabilistic Truly Unordered Rule Sets
2024 arXiv (Cornell University) preprint Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Matthijs van Leeuwen

0

citations
An intrinsically explainable pipeline for MRI classification
2026 Zenodo (CERN European Organization for Nuclear Research) dissertation Computer Science Explainable Artificial Intelligence (XAI) Open access

Lars Quakulinski

0

citations
An intrinsically explainable pipeline for MRI classification
2026 Zenodo (CERN European Organization for Nuclear Research) dissertation Computer Science Explainable Artificial Intelligence (XAI) Open access

Lars Quakulinski

0

citations
Semi-supervised Co-ensembling for AutoML
2021 Lecture notes in computer science conference-paper Computer Science Machine Learning and Data Classification

Jesper E. van Engelen, Holger H. Hoos

3

citations
Advances in kidney biopsy lesion assessment through dense instance segmentation
2025 Artificial Intelligence in Medicine article Computer Science AI in cancer detection Open access

Zhan Xiong, Junling He, P. Valkema, Tri Quang Nguyen, Maarten Naesens, Jesper Kers, +1 more

5

citations
Discovering Rule Lists with Preferred Variables
2023 Lecture notes in computer science conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Ioanna Papagianni, Matthijs van Leeuwen

0

citations
Auto deep learning for bioacoustic signals
2023 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Giulio Tosato, Joshua Luke Janssen, Kees Kamp, Pramatya Jati, Dan Stowell

0

citations
DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Development Set
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Music and Audio Processing Open access

Inês Nolasco, Shubhr Singh, Ariana Strandburg‐Peshkin, Lisa Gill, Hanna Pamuła, Joe Morford, +8 more

0

citations
DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Development Set
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Music and Audio Processing Open access

Inês Nolasco, Shubhr Singh, Ariana Strandburg‐Peshkin, Lisa Gill, Hanna Pamuła, Joe Morford, +8 more

0

citations
DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Development Set
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Music and Audio Processing Open access

Inês Nolasco, Shubhr Singh, Ariana Strandburg‐Peshkin, Lisa Gill, Hanna Pamuła, Joe Morford, +8 more

3

citations
DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Development Set
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Music and Audio Processing Open access

Inês Nolasco, Shubhr Singh, Ariana Strandburg‐Peshkin, Lisa Gill, Hanna Pamuła, Joe Morford, +8 more

0

citations
Learning Robust Sequential Recommenders through Confident Soft Labels
2024 ACM Transactions on Information Systems article Computer Science Recommender Systems and Techniques Open access

Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, +1 more

1

citations