Discovery Science 2023

https://www.springer.com/journal/10994/updates

Journal

Machine Learning

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

Rita P. Ribeiro

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Albert Bifet

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Ana Carolina Lorena

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Showing 1-24 of 24 articles

Prioritizing the essential: A robust evaluation framework for novelty detection
Jean-Gabriel Gaudreault
Paula Branco
OriginalPaper 28 April 2025 Article: 143
An end-to-end explainability framework for spatio-temporal predictive modeling
Massimiliano Altieri
Michelangelo Ceci
Roberto Corizzo
OriginalPaper Open access 06 March 2025 Article: 114
Intramodal consistency in triplet-based cross-modal learning for image retrieval
Mario Mallea
Ricardo Ñanculef
Mauricio Araya
OriginalPaper Open access 28 February 2025 Article: 110
Hybrid additive modeling with partial dependence for supervised regression and dynamical systems forecasting
Yann Claes
Vân Anh Huynh-Thu
Pierre Geurts
OriginalPaper 06 February 2025 Article: 72
Probabilistic scoring lists for interpretable machine learning
Jonas Hanselle
Stefan Heid
Eyke Hüllermeier
OriginalPaper Open access 06 February 2025 Article: 55
Uncovering temporal patterns in visualizations of high-dimensional data
Pavlin G. Poličar
Blaž Zupan
OriginalPaper Open access 27 January 2025 Article: 35
iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression and multi-label classification
Aljaž Osojnik
Panče Panov
Sašo Džeroski
OriginalPaper Open access 27 January 2025 Article: 34
PerfoRank: cluster-based performance ranking for improved performance evaluation and estimation in professional cycling
Bram Janssens
Matthias Bogaert
OriginalPaper 16 January 2025 Article: 20
Credal ensembling in multi-class classification
Vu-Linh Nguyen
Haifei Zhang
Sébastien Destercke
OriginalPaper Open access 16 January 2025 Article: 19
Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media
Riccardo Cantini
Cristian Cosentino
Domenico Talia
OriginalPaper Open access 16 January 2025 Article: 13
Learning multi-axis representation in frequency domain for medical image segmentation
Jiacheng Ruan
Jingsheng Gao
Suncheng Xiang
OriginalPaper 15 January 2025 Article: 10
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics
Colin Beam
OriginalPaper 14 January 2025 Article: 9
Qualitative control learning can be much faster than reinforcement learning
Domen Šoberl
Ivan Bratko
OriginalPaper 14 January 2025 Article: 4
Change detection and adaptation in multi-target regression on data streams
Bozhidar Stevanoski
Ana Kostovska
Sašo Džeroski
OriginalPaper Open access 09 October 2024 Pages: 8585 - 8622
Explaining outliers and anomalous groups via subspace density contrastive loss
Fabrizio Angiulli
Fabio Fassetti
Luigi Palopoli
OriginalPaper Open access 23 September 2024 Pages: 7565 - 7589
Evaluating large language models for user stance detection on X (Twitter)
Margherita Gambini
Caterina Senette
Maurizio Tesconi
OriginalPaper Open access 06 September 2024 Pages: 7243 - 7266
A cross-domain user association scheme based on graph attention networks with trajectory embedding
Keqing Cen
Zhenghao Yang
Minhong Dong
OriginalPaper 21 August 2024 Pages: 7905 - 7930
Integration of multi-modal datasets to estimate human aging
Rogério Ribeiro
Athos Moraes
Pedro G. Ferreira
OriginalPaper Open access 29 July 2024 Pages: 7293 - 7317
Extrapolation is not the same as interpolation
Yuxuan Wang
Ross D. King
OriginalPaper Open access 23 July 2024 Pages: 8205 - 8232
Jaccard-constrained dense subgraph discovery
Chamalee Wickrama Arachchi
Nikolaj Tatti
OriginalPaper Open access 23 July 2024 Pages: 7103 - 7125
Explainable dating of greek papyri images
John Pavlopoulos
Maria Konstantinidou
Aristidis Likas
OriginalPaper Open access 11 July 2024 Pages: 6765 - 6786
Neural discovery of balance-aware polarized communities
Francesco Gullo
Domenico Mandaglio
Andrea Tagarelli
OriginalPaper Open access 09 July 2024 Pages: 6611 - 6644
FairMOE: counterfactually-fair mixture of experts with levels of interpretability
Joe Germino
Nuno Moniz
Nitesh V. Chawla
OriginalPaper Open access 08 July 2024 Pages: 6539 - 6559
Discrete-time graph neural networks for transaction prediction in Web3 social platforms
Manuel Dileo
Matteo Zignani
OriginalPaper Open access 25 June 2024 Pages: 6395 - 6412

Discovery Science 2023

Participating journal

Machine Learning

Editors

Rita P. Ribeiro

Albert Bifet

Ana Carolina Lorena

Articles

Prioritizing the essential: A robust evaluation framework for novelty detection

An end-to-end explainability framework for spatio-temporal predictive modeling

Intramodal consistency in triplet-based cross-modal learning for image retrieval

Hybrid additive modeling with partial dependence for supervised regression and dynamical systems forecasting

Probabilistic scoring lists for interpretable machine learning

Uncovering temporal patterns in visualizations of high-dimensional data

iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression and multi-label classification

PerfoRank: cluster-based performance ranking for improved performance evaluation and estimation in professional cycling

Credal ensembling in multi-class classification

Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media

Learning multi-axis representation in frequency domain for medical image segmentation

Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics

Qualitative control learning can be much faster than reinforcement learning

Change detection and adaptation in multi-target regression on data streams

Explaining outliers and anomalous groups via subspace density contrastive loss

Evaluating large language models for user stance detection on X (Twitter)

A cross-domain user association scheme based on graph attention networks with trajectory embedding

Integration of multi-modal datasets to estimate human aging

Extrapolation is not the same as interpolation

Jaccard-constrained dense subgraph discovery

Explainable dating of greek papyri images

Neural discovery of balance-aware polarized communities

FairMOE: counterfactually-fair mixture of experts with levels of interpretability

Discrete-time graph neural networks for transaction prediction in Web3 social platforms