Ausgabe 6/2021
Inhalt (16 Artikel)
Boosting house price predictions using geo-spatial network embedding
Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis
Isolation kernel: the X factor in efficient and effective large scale online kernel learning
Kai Ming Ting, Jonathan R. Wells, Takashi Washio
Implicit consensus clustering from multiple graphs
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering
Rodrigo Randel, Daniel Aloise, Simon J. Blanchard, Alain Hertz
Chebyshev approaches for imbalanced data streams regression models
Ehsan Aminian, Rita P. Ribeiro, João Gama
Continuous treatment effect estimation via generative adversarial de-confounding
Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu
Characterizing attitudinal network graphs through frustration cloud
Lucas Rusnak, Jelena Tešić
Introduction to the special issue of the ECML PKDD 2021 journal track
Annalisa Appice, Sergio Escalera, Jose A. Gámez, Heike Trautmann
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent
Sibylle Hess, Gianvito Pio, Michiel Hochstenbach, Michelangelo Ceci
Early abandoning and pruning for elastic distances including dynamic time warping
Matthieu Herrmann, Geoffrey I. Webb
MultiETSC: automated machine learning for early time series classification
Gilles Ottervanger, Mitra Baratchi, Holger H. Hoos
CURIE: a cellular automaton for concept drift detection
Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams
Alessio Bernardo, Emanuele Della Valle
Unsupervised domain adaptation with non-stochastic missing data
Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach