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Papers matching “classifier evaluation” 101

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Inter-Facility Evaluation of Machine Learning Based Deep Hematopoietic Cell Classifiers for Cytological Evaluation of Hematopoiesis
2023 Blood conference-abstract Computer Science Digital Imaging for Blood Diseases Open access

Julian Thull, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, Volkmar Schulz, +2 more

0

citations
A Comparative Evaluation of Quantification Methods
2021 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Tobias Schumacher, Markus Strohmaier, Florian Lemmerich

4

citations
Development of a quantitative multiparametric ultrasound and deep learning classifier for the detection of prostate cancer
2026 European Radiology article Computer Science AI in cancer detection Open access

Florian Delberghe, Xueting Li, Daniel L. van den Kroonenberg, Simona Turco, Wim Zwart, Giuseppe Valvano, +5 more

1

citations
On the evaluation of synthetic longitudinal electronic health records
2024 BMC Medical Research Methodology article Computer Science Privacy-Preserving Technologies in Data Open access

Jim L. Achterberg, M. Haas, Marco René Spruit

9

citations
Comparison between Tensor Networks and Variational Quantum Classifier
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Artem A. Melnikov, Michael Romanovich Perelshtein, Reuben Brasher, Thomas Baeck, Florian Neukart

0

citations
PERFEX: Classifier Performance Explanations for Trustworthy AI Systems
2022 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Erwin Walraven, Ajaya Adhikari, Cor J. Veenman

0

citations
SCaLAr – A surrounding spherical cap loudspeaker array for flexible generation and evaluation of virtual acoustic environments
2020 Acta Acustica article Computer Science Speech and Audio Processing Open access

Florian Pausch, Gottfried K. Behler, Janina Fels

6

citations
Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs
2021 International Conference on Availability, Reliability and Security (ARES) conference-paper Computer Science Spam and Phishing Detection Open access

Arthur Drichel, Vincent Drury, Justus von Brandt, Ulrike Meyer

25

citations
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes
2021 Journal of Artificial Intelligence for Medical Sciences article Computer Science Machine Learning in Healthcare Open access

Pablo J. Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje E. Scheepers, Marco René Spruit

18

citations
Tomea: an Explainable Method for Comparing Morality Classifiers across Domains
2023 University of Twente Research Information conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Enrico Liscio, Oscar Araque, Lorenzo Gatti, Ionut Constantinescu, Catholijn M. Jonker, K. Kalimeri, +1 more

0

citations
Detecting Unknown DGAs without Context Information
2022 International Conference on Availability, Reliability and Security (ARES) conference-paper Computer Science Advanced Malware Detection Techniques Open access

Arthur Drichel, Justus von Brandt, Ulrike Meyer

4

citations
The More, the Better
2021 conference-paper Computer Science Spam and Phishing Detection Open access

Arthur Drichel, Benedikt Holmes, Justus von Brandt, Ulrike Meyer

9

citations
Towards Robust Domain Generation Algorithm Classification
2024 ACM Asia Conference on Computer and Communications Security (ASIA CCS) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access

Arthur Drichel, Ulrike Meyer

6

citations
Configuring Large Reasoning Models Using Process Mining: A Benchmark and a Case Study
2026 Lecture notes in business information processing conference-paper Computer Science Topic Modeling Open access

Alessandro Berti, Humam Kourani, Gyunam Park, Wil M. P. van der Aalst

2

citations
The Influence of Inhomogeneous Input Data from Different Waves on Predictive Model Development for COVID-19 ICU Patients (Preprint)
2021 preprint Computer Science Machine Learning in Healthcare Open access

Sebastian Johannes Fritsch, Konstantin Sharafutdinov, Moein E. Samadi, Gernot Marx, Andreas Schuppert, Johannes Bickenbach

0

citations
Testing the applicability of a virtual reality simulation platform for stress training of first responders
2021 Military Psychology article Computer Science Virtual Reality Applications and Impacts Open access

Olaf Binsch, Charelle Bottenheft, Annemarie Landman, Linsey Roijendijk, Eric H. G. J. M. Vermetten

43

citations
Deep BIAS: Detecting Structural Bias using Explainable AI
2023 conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova

13

citations
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation
2022 International Workshop on Semantic Evaluation (SemEval) conference-paper Computer Science Topic Modeling Open access

Injy Sarhan, Marco René Spruit

1

citations
Analyzing the real-world applicability of DGA classifiers
2020 International Conference on Availability, Reliability and Security (ARES) conference-paper Computer Science Spam and Phishing Detection Open access

Arthur Drichel, Ulrike Meyer, Samuel Schüppen, Dominik Teubert

32

citations
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more

7

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
Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology
2026 Cancer Research article Computer Science Explainable Artificial Intelligence (XAI) Open access

Laura Žigutytė, Tim Lenz, Tianyu Han, Nic Gabriel Reitsam, Sebastian Foersch, Katherine Jane Hewitt, +13 more

0

citations
Deep Learning-Based Prediction of Biomarkers from Colorectal Cancer Pathology Slides
2025 Qucosa (Saxon State and University Library Dresden) dissertation Computer Science AI in cancer detection Open access

Jan Niehues

0

citations
A Method to Improve Alignments Between Domain and Foundational Ontologies
2023 Frontiers in artificial intelligence and applications book-chapter Computer Science Semantic Web and Ontologies Open access

César H. Bernabé, Catharina Maria Keet, Zubeida Casmod Khan, Zola Mahlaza

2

citations
Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
2025 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Vincent S. Kather, Burooj Ghani, Dan Stowell

1

citations