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ORCIDData Mining and Knowledge Discovery, Volume 36
Volume 36, Number 1, January 2022
- George Petrides
, Wouter Verbeke:
Cost-sensitive ensemble learning: a unifying framework. 1-28 - Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier:
End-to-end deep representation learning for time series clustering: a comparative study. 29-81 - Weiyi Liu, Kun Yue, Jianyu Li, Jie Li, Jin Li, Zhijian Zhang:
Inferring range of information diffusion based on historical frequent items. 82-107 - Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets. 108-145 - Xiaoling Lu, Yuxuan Guo, Jiayi Chen, Feifei Wang:
Topic change point detection using a mixed Bayesian model. 146-173 - Roberta Falcone, Laura Anderlucci, Angela Montanari:
Matrix sketching for supervised classification with imbalanced classes. 174-208 - Wen Bai, Yadi Chen, Di Wu, Zhichuan Huang, Yipeng Zhou, Chuan Xu:
Generalized core maintenance of dynamic bipartite graphs. 209-239 - Artur Mrowca, Florian Gyrock, Stephan Günnemann:
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation. 240-294 - Gabriel Anzer, Pascal Bauer:
Expected passes. 295-317 - Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari:
Controlling hallucinations at word level in data-to-text generation. 318-354 - Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini:
An efficient procedure for mining egocentric temporal motifs. 355-378 - Rianne Margaretha Schouten, Marcos L. P. Bueno, Wouter Duivesteijn, Mykola Pechenizkiy:
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions. 379-413 - Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro:
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation. 414-447 - Antonis Matakos, Aristides Gionis:
Strengthening ties towards a highly-connected world. 448-476 - Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, P. Eline Slagboom, Marian Beekman, Arno J. Knobbe:
A recurrent neural network architecture to model physical activity energy expenditure in older people. 477-512
Volume 36, Number 2, March 2022
- Raisa Dzhamtyrova, Carsten Maple:
Dynamic cyber risk estimation with competitive quantile autoregression. 513-536 - Bhisham Dev Verma, Rameshwar Pratap, Debajyoti Bera:
Efficient binary embedding of categorical data using BinSketch. 537-565 - Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb:
An eager splitting strategy for online decision trees in ensembles. 566-619 - Bram Steenwinckel, Gilles Vandewiele, Michael Weyns, Terencio Agozzino, Filip De Turck, Femke Ongenae:
INK: knowledge graph embeddings for node classification. 620-667 - Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar:
Sequence graph transform (SGT): a feature embedding function for sequence data mining. 668-708 - Bruno Ordozgoiti, Ananth Mahadevan, Antonis Matakos, Aristides Gionis:
Provable randomized rounding for minimum-similarity diversification. 709-738 - Christian Toth, Denis Helic, Bernhard C. Geiger:
Synwalk: community detection via random walk modelling. 739-780 - Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki:
Robust regression via error tolerance. 781-810 - Guilherme F. Marchezini, Anísio M. Lacerda, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco Aurélio Romano-Silva, Danielle S. Costa, Leandro Malloy Diniz:
Counterfactual inference with latent variable and its application in mental health care. 811-840 - Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters:
PAC-Bayesian lifelong learning for multi-armed bandits. 841-876 - Ryan Mercer, Sara Alaee, Alireza Abdoli, Nader Shakibay Senobari, Shailendra Singh, Amy C. Murillo, Eamonn J. Keogh:
Introducing the contrast profile: a novel time series primitive that allows real world classification. 877-915
Volume 36, Number 3, May 2022
- Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier:
XEM: An explainable-by-design ensemble method for multivariate time series classification. 917-957 - Hankui Peng, Nicos G. Pavlidis:
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning. 958-986 - Uwe Dick, Daniel Link, Ulf Brefeld:
Who can receive the pass? A computational model for quantifying availability in soccer. 987-1014 - Len Feremans, Boris Cule, Bart Goethals:
PETSC: pattern-based embedding for time series classification. 1015-1061 - Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro, Fernando Silva:
Novel features for time series analysis: a complex networks approach. 1062-1101 - Daniel Berrar:
Using p-values for the comparison of classifiers: pitfalls and alternatives. 1102-1139 - Francisco Valente, Simão Paredes, Jorge Henriques, Teresa Rocha, Paulo de Carvalho, João Morais:
Interpretability, personalization and reliability of a machine learning based clinical decision support system. 1140-1173 - Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu:
Sufficient dimension reduction for average causal effect estimation. 1174-1196 - Guangyi Zhang, Nikolaj Tatti, Aristides Gionis:
Ranking with submodular functions on a budget. 1197-1218 - Pablo A. Jaskowiak, Ivan G. Costa, Ricardo J. G. B. Campello:
The area under the ROC curve as a measure of clustering quality. 1219-1245
Volume 36, Number 4, July 2022
- Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung:
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation. 1247-1278 - Noman Javed, Fernand Gobet, Peter C. R. Lane:
Simplification of genetic programs: a literature survey. 1279-1300 - Delfina Malandrino, Roberto De Prisco, Mario Ianulardo, Rocco Zaccagnino:
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering. 1301-1334 - Michael Merz, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich:
Interpreting deep learning models with marginal attribution by conditioning on quantiles. 1335-1370 - Helena Aidos:
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization. 1371-1400 - Quay Au, Julia Herbinger, Clemens Stachl, Bernd Bischl, Giuseppe Casalicchio:
Grouped feature importance and combined features effect plot. 1401-1450 - Bernardo A. Abreu, João Paulo Ataide Martins, Loïc Cerf:
Developing Biceps to completely compute in subquadratic time a new generic type of bicluster in dense and sparse matrices. 1451-1497 - Grace Deng, Cuize Han, David S. Matteson:
Extended missing data imputation via GANs for ranking applications. 1498-1520 - Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
Conclusive local interpretation rules for random forests. 1521-1574 - Steedman Jenkins, Stefan Walzer-Goldfeld, Matteo Riondato:
SPEck: mining statistically-significant sequential patterns efficiently with exact sampling. 1575-1599
Volume 36, Number 5, September 2022
- Fang Zhou, Suting Gao, Lyu Ni, Martin Pavlovski, Qiwen Dong, Zoran Obradovic, Weining Qian:
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification. 1601-1622 - Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb:
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification. 1623-1646 - Laurens Arp, Mitra Baratchi, Holger H. Hoos:
VPint: value propagation-based spatial interpolation. 1647-1678 - Esther Galbrun:
The minimum description length principle for pattern mining: a survey. 1679-1727 - Franka Bause, Erich Schubert, Nils M. Kriege:
EmbAssi: embedding assignment costs for similarity search in large graph databases. 1728-1755 - Simen Eide, David S. Leslie, Arnoldo Frigessi:
Dynamic slate recommendation with gated recurrent units and Thompson sampling. 1756-1786 - Huazhu Chen, Weiwei Wang, Shousheng Luo:
Coupled block diagonal regularization for multi-view subspace clustering. 1787-1814 - Benjamin Regler, Matthias Scheffler, Luca M. Ghiringhelli:
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions. 1815-1864 - Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso:
Human-in-the-loop handling of knowledge drift. 1865-1884 - Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen:
Robust subgroup discovery. 1885-1970 - Paul Magron, Cédric Févotte:
Neural content-aware collaborative filtering for cold-start music recommendation. 1971-2005 - Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams. 2006-2032
Volume 36, Number 6, November 2022
- Emre Yalcin:
Exploring potential biases towards blockbuster items in ranking-based recommendations. 2033-2073 - Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto:
Algorithmic fairness datasets: the story so far. 2074-2152 - Alene K. Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Falaah Arif Khan, Julia Stoyanovich:
An external stability audit framework to test the validity of personality prediction in AI hiring. 2153-2193 - Mariano G. Beiró, Kyriaki Kalimeri:
Fairness in vulnerable attribute prediction on social media. 2194-2213 - Nuo Li, Bin Guo, Yan Liu, Yasan Ding, En Xu, Lina Yao, Zhiwen Yu:
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network. 2214-2236 - Yichen Zhou, Giles Hooker:
Decision tree boosted varying coefficient models. 2237-2271 - Yandi Zhu, Xiaoling Lu, Jingya Hong, Feifei Wang:
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora. 2272-2298 - Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Personalised meta-path generation for heterogeneous graph neural networks. 2299-2333 - Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal:
Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights. 2334-2378 - Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
POI recommendation with queuing time and user interest awareness. 2379-2409 - Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen:
Wisdom of the contexts: active ensemble learning for contextual anomaly detection. 2410-2458
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