:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Smet, Pieter
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.02191
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prediction accuracy versus rescheduling flexibility in elective surgery management
by: Smet, Pieter, et al.
Published: (2025)

Robust personnel rostering: how accurate should absenteeism predictions be?
by: Doneda, Martina, et al.
Published: (2024)

Multiclass threshold-based classification and model evaluation
by: Legnaro, Edoardo, et al.
Published: (2025)

A metrological framework for uncertainty evaluation in machine learning classification models
by: Bilson, Samuel, et al.
Published: (2025)

No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models
by: Legast, Magali, et al.
Published: (2026)

A model-free subdata selection method for classification
by: Singh, Rakhi
Published: (2024)

Hierarchical confusion matrix for classification performance evaluation
by: Riehl, Kevin, et al.
Published: (2023)

Interactive Classification Metrics: A graphical application to build robust intuition for classification model evaluation
by: Brown, David H., et al.
Published: (2024)

A unified weighting framework for evaluating nearest neighbour classification
by: Lenz, Oliver Urs, et al.
Published: (2023)

Contextual Strongly Convex Simulation Optimization: Optimize then Predict with Inexact Solutions
by: Lin, Nifei, et al.
Published: (2025)

Boosting methods for interval-censored data with regression and classification
by: Bian, Yuan, et al.
Published: (2026)

Causal methods for LLM development and evaluation
by: Frauen, Dennis, et al.
Published: (2026)

Learning Robust Penetration-Testing Policies under Partial Observability: A systematic evaluation
by: Simon, Raphael, et al.
Published: (2025)

What Really Matters in Matrix-Whitening Optimizers?
by: Frans, Kevin, et al.
Published: (2025)

Text classification using machine learning methods
by: Oancea, Bogdan
Published: (2025)

A method for classification of data with uncertainty using hypothesis testing
by: Yokura, Shoma, et al.
Published: (2025)

Relational Neurosymbolic Markov Models
by: De Smet, Lennert, et al.
Published: (2024)

EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic
by: Verreet, Victor, et al.
Published: (2024)

A Stable Whitening Optimizer for Efficient Neural Network Training
by: Frans, Kevin, et al.
Published: (2025)

Bake off redux: a review and experimental evaluation of recent time series classification algorithms
by: Middlehurst, Matthew, et al.
Published: (2023)

How to Approximate Inference with Subtractive Mixture Models
by: Zellinger, Lena, et al.
Published: (2026)

Challenges in the calibration of tree-based models for imbalanced classification
by: Phelps, Nathan, et al.
Published: (2024)

Black-box model classification under the discriminative factorization
by: Helm, Hayden, et al.
Published: (2026)

Meshless method stencil evaluation with machine learning
by: Rot, Miha, et al.
Published: (2022)

Cliqueformer: Model-Based Optimization with Structured Transformers
by: Kuba, Jakub Grudzien, et al.
Published: (2024)

Maritime object classification with SAR imagery using quantum kernel methods
by: Tanner, John, et al.
Published: (2025)

Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
by: Grefsrud, Aurora, et al.
Published: (2025)

Simulation Based Bayesian Optimization
by: Naveiro, Roi, et al.
Published: (2024)

A classification model based on a population of hypergraphs
by: Barton, Samuel, et al.
Published: (2024)

FRQI Pairs method for image classification using Quantum Recurrent Neural Network
by: Potempa, Rafał, et al.
Published: (2025)

A clean-label graph backdoor attack method in node classification task
by: Xing, Xiaogang, et al.
Published: (2023)

Mutual-energy inner product optimization method for constructing feature coordinates and image classification in Machine Learning
by: Wang, Yuanxiu
Published: (2024)

Value-Based Deep RL Scales Predictably
by: Rybkin, Oleh, et al.
Published: (2025)

Evaluation of post-hoc interpretability methods in time-series classification
by: Turbé, Hugues, et al.
Published: (2022)

Detection and classification of DDoS flooding attacks by machine learning method
by: Tymoshchuk, Dmytro, et al.
Published: (2024)

AudioProtoPNet: An interpretable deep learning model for bird sound classification
by: Heinrich, René, et al.
Published: (2024)

Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics
by: Ghani, Burooj, et al.
Published: (2024)

Functional Graphical Models: Structure Enables Offline Data-Driven Optimization
by: Kuba, Jakub Grudzien, et al.
Published: (2024)

Seismic event classification with a lightweight Fourier Neural Operator model
by: Abdullin, Ayrat, et al.
Published: (2025)

Adaptive Simulation Experiment for LLM Policy Optimization
by: Hu, Mingjie, et al.
Published: (2026)