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Publication search results
found 1,214 matches
- 2025
- Gustavo Lúcius Fernandes, Flavio V. D. de Figueiredo, Raphael Siston Hatushika, Maria Luiza Leão, Breno Augusto Mariano, Bruno Augusto Alemão Monteiro, Fernando Tonucci de Cerqueira Oliveira, Tales Panoutsos, João Pedro Pires, Thiago Martin Poppe, Frederico Zavam:
A systematic review of deep learning for structural geological interpretation. Data Min. Knowl. Discov. 39(1): 1-56 (2025) - Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek, Peter Schneider-Kamp:
Syntheval: a framework for detailed utility and privacy evaluation of tabular synthetic data. Data Min. Knowl. Discov. 39(1): 1-25 (2025) - Sae Young Moon, Gregor Kerr, Fran Silavong, Sean J. Moran:
A probabilistic model for API contract specification retrieval focusing on the openAPI standard. Data Min. Knowl. Discov. 39(1): 1-24 (2025) - Lamprini Pappa, Petros S. Karvelis, Chrysostomos D. Stylios:
Exploring the diverse world of SAX-based methodologies. Data Min. Knowl. Discov. 39(1): 1-78 (2025) - Félix Iglesias Vázquez, Henrique O. Marques, Arthur Zimek, Tanja Zseby:
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy. Data Min. Knowl. Discov. 39(1): 1-59 (2025) - Nan Xia, Yin Wang, Run-Fa Zhang, Xiangfeng Luo:
ARL: analogical reinforcement learning for knowledge graph reasoning. Data Min. Knowl. Discov. 39(1): 1-22 (2025) - 2024
- Nourhan Ahmed, Lars Schmidt-Thieme:
Structure-aware decoupled imputation network for multivariate time series. Data Min. Knowl. Discov. 38(3): 1006-1026 (2024) - Hélder Alves, Paula Brito, Pedro Campos:
Community detection in interval-weighted networks. Data Min. Knowl. Discov. 38(2): 653-698 (2024) - Martin Atzmueller, Johannes Fürnkranz, Tomás Kliegr, Ute Schmid:
Explainable and interpretable machine learning and data mining. Data Min. Knowl. Discov. 38(5): 2571-2595 (2024) - Adil Bahaj, Mounir Ghogho:
Negative-sample-free knowledge graph embedding. Data Min. Knowl. Discov. 38(6): 3590-3620 (2024) - Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Discord-based counterfactual explanations for time series classification. Data Min. Knowl. Discov. 38(6): 3347-3371 (2024) - Hubert Baniecki, Dariusz Parzych, Przemyslaw Biecek:
The grammar of interactive explanatory model analysis. Data Min. Knowl. Discov. 38(5): 2596-2632 (2024) - Monika Bansal, Dolly Sharma:
Statistical methods utilizing structural properties of time-evolving networks for event detection. Data Min. Knowl. Discov. 38(6): 3831-3867 (2024) - Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Sigríður Sigurðardóttir, Michael Clausen, Sigurveig Þóra Sigurardóttir, Marta Serwatko, Anna Sigridur Islind:
Anomaly detection in sleep: detecting mouth breathing in children. Data Min. Knowl. Discov. 38(3): 976-1005 (2024) - Ilaria Bombelli, Ichcha Manipur, Mario Rosario Guarracino, Maria Brigida Ferraro:
Representing ensembles of networks for fuzzy cluster analysis: a case study. Data Min. Knowl. Discov. 38(2): 725-747 (2024) - Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli:
Interpretable linear dimensionality reduction based on bias-variance analysis. Data Min. Knowl. Discov. 38(4): 1713-1781 (2024) - Vincenzo Bonnici, Roberto Grasso, Giovanni Micale, Antonio Di Maria, Dennis Shasha, Alfredo Pulvirenti, Rosalba Giugno:
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains. Data Min. Knowl. Discov. 38(6): 3868-3921 (2024) - Andreas Brandsæter, Ingrid Kristine Glad:
Shapley values for cluster importance. Data Min. Knowl. Discov. 38(5): 2633-2664 (2024) - Dieter Brughmans, Pieter Leyman, David Martens:
NICE: an algorithm for nearest instance counterfactual explanations. Data Min. Knowl. Discov. 38(5): 2665-2703 (2024) - Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Regularization-based methods for ordinal quantification. Data Min. Knowl. Discov. 38(6): 4076-4121 (2024) - Nestor Cabello, Elham Naghizade, Jianzhong Qi, Lars Kulik:
Fast, accurate and explainable time series classification through randomization. Data Min. Knowl. Discov. 38(2): 748-811 (2024) - Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A semi-supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. 38(2): 623-651 (2024) - Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Correction: A semi‑supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. 38(2): 652 (2024) - Chih-Chieh Chang, Diing-Ruey Tzeng, Chia-Hsun Lu, Ming-Yi Chang, Chih-Ya Shen:
Improving graph-based recommendation with unraveled graph learning. Data Min. Knowl. Discov. 38(4): 2440-2465 (2024) - Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang:
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction. Data Min. Knowl. Discov. 38(1): 79-109 (2024) - Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung:
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection. Data Min. Knowl. Discov. 38(3): 1222-1257 (2024) - Martino Ciaperoni, Aristides Gionis, Heikki Mannila:
The Hadamard decomposition problem. Data Min. Knowl. Discov. 38(4): 2306-2347 (2024) - Bernat Coma-Puig, Albert Calvo, Josep Carmona, Ricard Gavaldà:
A case study of improving a non-technical losses detection system through explainability. Data Min. Knowl. Discov. 38(5): 2704-2732 (2024) - Sacha Corbugy, Rebecca Marion, Benoît Frénay:
Gradient-based explanation for non-linear non-parametric dimensionality reduction. Data Min. Knowl. Discov. 38(6): 3690-3718 (2024) - Riccardo Crupi, Alessandro Castelnovo, Daniele Regoli, Beatriz San Miguel González:
Counterfactual explanations as interventions in latent space. Data Min. Knowl. Discov. 38(5): 2733-2769 (2024)
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