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Papers matching “distributive quantifiers” 34

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Continuous Sweep for Binary Quantification Learning
2026 Journal of Classification article Computer Science Imbalanced Data Classification Techniques Open access

Kevin Kloos, Julian David Karch, Quinten Meertens, Sander Scholtus, Mark de Rooij

0

citations
Continuous Sweep for Binary Quantification Learning
2023 arXiv (Cornell University) preprint Computer Science Imbalanced Data Classification Techniques Open access

Kevin Kloos, Julian David Karch, Quinten Meertens, Mark de Rooij

0

citations
Uni- and multivariate probability density models for numeric subgroup discovery
2020 Intelligent Data Analysis article Computer Science Data Mining Algorithms and Applications Open access

Marvin Meeng, Harm de Vries, Peter A. Flach, Siegfried Nijssen, Arno Knobbe

3

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 Computer Methods in Applied Mechanics and Engineering article Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

37

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

citations
The Importance of Parameters in Ranking Functions
2026 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Advanced Database Systems and Queries Open access

Christoph Standke, Nikolaos Tziavelis, Wolfgang Gatterbauer, Benny Kimelfeld

0

citations
V‐UNet: Medical Image Segmentation Based on Variational Attention Mechanism
2025 CAAI Transactions on Intelligence Technology article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent

Yang Zhang, Li Tian, Fanghong Zhang, Yu Ren, Yinhao Li, Chuanyun Xu

2

citations
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals
2025 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks Open access

Lennard Rompelberg, Michael T. Schaub

2

citations
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan

0

citations
FedSLIM: Privacy-Preserving Federated MDL-Based Descriptive Pattern Mining Across Data Silos
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Samar Samir Khalil, Noha S. Tawfik, Marco René Spruit

0

citations
Rashomon Alignment
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Moisés Santos, Peter van der Putten, Bernhard Pfahringer, Carlos Soares

0

citations
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan

0

citations
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Adversarial Robustness in Machine Learning Open access

Severin Heidrich, Till Beemelmanns, Bastian Leibe, Lutz Eckstein

3

citations
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
2025 neural information processing systems conference-paper Computer Science Anomaly Detection Techniques and Applications Open access

Zhong Li, Qi Zhong Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Bas van Stein, +1 more

1

citations
Error correlations in photonic qudit-mediated entanglement generation
2024 Physical Review Research article Computer Science Quantum Information and Cryptography Open access

Xiaoyu Liu, Niv Bharos, Liubov A. Markovich, Johannes Borregaard

1

citations
Pooled two-cohort MRI body composition phenotyping with open-source deep learning
2026 Communications Medicine article Computer Science Medical Image Segmentation Techniques Open access

Christian J. Mertens, Hartmut Häntze, Sebastian Ziegelmayer, Jakob Nikolas Kather, Daniel Truhn, Su Hwan Kim, +30 more

0

citations
Error Correlations in Photonic Qudit-Mediated Entanglement Generation
2023 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Xiaoyu Liu, Niv Bharos, Liubov A. Markovich, Johannes Borregaard

0

citations
A Full Compression Pipeline for Green Federated Learning in Communication-Constrained Environments
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Elouan Colybes, Shirin Salehi, Anke Schmeink

0

citations
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
2022 IEEE Internet of Things Journal review Computer Science Privacy-Preserving Technologies in Data Open access cited by 1 patent

Leon Witt, Mathis Heyer, Kentaroh Toyoda, Wojciech Samek, Dan Li

101

citations
Increasing the resolution of solar and wind time series for energy system modeling: A review
2023 Renewable and Sustainable Energy Reviews article Computer Science Solar Radiation and Photovoltaics Open access

Olalekan Omoyele, Maximilian Hoffmann, Matti Koivisto, Miguel Larrañeta, Jann Michael Weinand, Jochen Linßen, +1 more

61

citations
An Adaptive Consensus Based Method for Multi-objective Optimization with Uniform Pareto Front Approximation
2023 Applied Mathematics & Optimization article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

30

citations
Probabilistic Robust Linear Quadratic Regulators with Gaussian Processes
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe

10

citations
Criticality versus uniformity in deep neural networks
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Aleksandar Bukva, Jurriaan de Gier, Kevin T. Grosvenor, Ro Jefferson, Koenraad Schalm, Eliot Schwander

5

citations
Releasing differentially private event logs using generative models
2025 Data & Knowledge Engineering article Computer Science Privacy-Preserving Technologies in Data Open access

Frederik Wangelik, Majid Rafiei, Mahsa Pourbafrani, Wil M. P. van der Aalst

4

citations
Unity in Variety: Developing a collection description standard by consensus
2020 Biodiversity Information Science and Standards article Computer Science Research Data Management Practices Open access

Matt Woodburn, Deborah L Paul, Wouter Addink, Steve Baskauf, Stanley Blum, Cat Chapman, +12 more

4

citations