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https://link.springer.com/journal/10994/updates/27716666

Journal

Machine Learning

Machine Learning is an international forum focusing on computational approaches to learning.

Riccardo Guidotti

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Anna Monreale

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Dino Pedreschi

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Showing 1-27 of 27 articles

Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks
Michele Fontanesi
Alessio Micheli
Domenico Tortorella
OriginalPaper Open access 19 October 2025 Article: 257
Enhancing workforce attendance evaluation in vocational schools: a decision support framework powered by explainable machine learning
Joseph Teguh Santoso
Hendry Hendry
Daniel Manongga
OriginalPaper 19 October 2025 Article: 259
Adaptive differentiable trees for transparent learning on data streams
Kirsten Köbschall
Lisa Hartung
Stefan Kramer
OriginalPaper Open access 19 October 2025 Article: 253
Semi-supervised learning from tabular data with autoencoders: when does it work?
Sintija Stevanoska
Jurica Levatić
Sašo Džeroski
OriginalPaper Open access 15 October 2025 Article: 246
The forget-set identification problem
Andrea D’Angelo
Francesco Gullo
Giovanni Stilo
OriginalPaper Open access 15 October 2025 Article: 247
Integrating human knowledge for explainable AI
Eleonora Cappuccio
Bahavathy Kathirgamanathan
Natalia Andrienko
OriginalPaper Open access 15 October 2025 Article: 250
Benchmarking adversarial robustness to bias elicitation in large language models: scalable automated assessment with LLM-as-a-judge
Riccardo Cantini
Alessio Orsino
Domenico Talia
OriginalPaper Open access 15 October 2025 Article: 249
Mast: interpretable stress testing via meta-learning for forecasting model robustness evaluation
Ricardo Inácio
Vitor Cerqueira
Carlos Soares
OriginalPaper 15 October 2025 Article: 251
Adaptive collaborative minority oversampling for multi-class imbalanced classification
Su-Yang Zheng
Chou-Yong Chen
Zhong-Liang Zhang
OriginalPaper 10 October 2025 Article: 244
Analyzing RL components for Wagner’s framework via Brouwer’s conjecture
Flora Angileri
Giulia Lombardi
Francesco Morandin
OriginalPaper 01 October 2025 Article: 242
MASS-CSP: mining with answer set solving for contrast sequential pattern mining
Gioacchino Sterlicchio
Francesca Alessandra Lisi
OriginalPaper Open access 28 September 2025 Article: 235
Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series
Annunziata D’Aversa
Gianvito Pio
Michelangelo Ceci
OriginalPaper Open access 16 September 2025 Article: 231
Counterfactual ensembles for interpretable churn prediction: from real-world to privacy-preserving synthetic data
Samuele Tonati
Marzio Di Vece
Roberto Pellungrini
OriginalPaper Open access 15 September 2025 Article: 230
Modelradar: aspect-based forecast evaluation
Vitor Cerqueira
Luis Roque
Carlos Soares
OriginalPaper Open access 09 September 2025 Article: 229
SafeGen: safeguarding privacy and fairness through a genetic method
Martina Cinquini
Marta Marchiori Manerba
Riccardo Guidotti
OriginalPaper Open access 08 September 2025 Article: 227
Optimized YOLOv8 for lightweight and high-precision metal surface defect detection in industrial applications
Ruiping Li
Linchang Zhao
Jin Tan
OriginalPaper 04 September 2025 Article: 226
Causal CSSE: integrating counterfactuals and causality in the explanation of machine learning models
Omar F. P. Krauss
Marcelo S. Balbino
Cristiane N. Nobre
OriginalPaper 27 August 2025 Article: 221
Splitting stump forests: tree ensemble compression for edge devices (extended version)
Fouad Alkhoury
Sebastian Buschjäger
Pascal Welke
OriginalPaper Open access 27 August 2025 Article: 219
Mind the gap: from plausible to valid self-explanations in large language models
Korbinian Randl
John Pavlopoulos
Tony Lindgren
OriginalPaper Open access 27 August 2025 Article: 220
EchoRAG: a framework for enhancing language models with graph-RAG and in-context learning
William Jones Beckhauser
Renato Fileto
OriginalPaper 26 August 2025 Article: 215
RIADNet: single image deraining network for raindrops and rain streaks removal
Changle Yu
Ping Fan
Jiyu Yang
OriginalPaper 26 August 2025 Article: 218
Epidemic-guided deep learning for spatiotemporal forecasting of tuberculosis outbreak
Madhab Barman
Madhurima Panja
Tanujit Chakraborty
OriginalPaper 22 August 2025 Article: 213
Assessing the risk of discriminatory bias in classification datasets
Kejun Dai
Jonathan Kim
Katharina Dost
OriginalPaper Open access 06 August 2025 Article: 204
Exploration and generalization in deep learning with SwitchPath activations
Antonio Di Cecco
Andrea Papini
Maurizio Parton
OriginalPaper 05 August 2025 Article: 200
Breaking domain barriers: mixture of experts for cross-domain fake news detection
Angelica Liguori
Francesco Sergio Pisani
Giuseppe Manco
OriginalPaper Open access 14 July 2025 Article: 188
Segmentation and feature extraction-based classification of pavement damages using hybrid computer vision and machine learning approaches
Lizette Tello-Cifuentes
Johannio Marulanda
Peter Thomson
OriginalPaper Open access 18 June 2025 Article: 172
Heat transfer flow of non-Newtonian eyring-powell fluid with mixed convection heterogeneous and homogeneous reactions using linear regression based machine learning approach
R. Ellahi
N. Khalid
M. I. Khan
OriginalPaper 29 April 2025 Article: 147

Discovery Science 2024

Participating journal

Machine Learning

Editors

Riccardo Guidotti

Anna Monreale

Dino Pedreschi

Articles

Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks

Enhancing workforce attendance evaluation in vocational schools: a decision support framework powered by explainable machine learning

Adaptive differentiable trees for transparent learning on data streams

Semi-supervised learning from tabular data with autoencoders: when does it work?

The forget-set identification problem

Integrating human knowledge for explainable AI

Benchmarking adversarial robustness to bias elicitation in large language models: scalable automated assessment with LLM-as-a-judge

Mast: interpretable stress testing via meta-learning for forecasting model robustness evaluation

Adaptive collaborative minority oversampling for multi-class imbalanced classification

Analyzing RL components for Wagner’s framework via Brouwer’s conjecture

MASS-CSP: mining with answer set solving for contrast sequential pattern mining

Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series

Counterfactual ensembles for interpretable churn prediction: from real-world to privacy-preserving synthetic data

Modelradar: aspect-based forecast evaluation

SafeGen: safeguarding privacy and fairness through a genetic method

Optimized YOLOv8 for lightweight and high-precision metal surface defect detection in industrial applications

Causal CSSE: integrating counterfactuals and causality in the explanation of machine learning models

Splitting stump forests: tree ensemble compression for edge devices (extended version)

Mind the gap: from plausible to valid self-explanations in large language models

EchoRAG: a framework for enhancing language models with graph-RAG and in-context learning

RIADNet: single image deraining network for raindrops and rain streaks removal

Epidemic-guided deep learning for spatiotemporal forecasting of tuberculosis outbreak

Assessing the risk of discriminatory bias in classification datasets

Exploration and generalization in deep learning with SwitchPath activations

Breaking domain barriers: mixture of experts for cross-domain fake news detection

Segmentation and feature extraction-based classification of pavement damages using hybrid computer vision and machine learning approaches

Heat transfer flow of non-Newtonian eyring-powell fluid with mixed convection heterogeneous and homogeneous reactions using linear regression based machine learning approach