Volume 35, Number 6, November 2021
Unsupervised domain adaptation with non-stochastic missing data.

Matthieu Kirchmeyer Patrick Gallinari Alain Rakotomamonjy Amin Mantrach

VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams.

Alessio Bernardo Emanuele Della Valle

CURIE: a cellular automaton for concept drift detection.

Jesus L. Lobo Javier Del Ser Eneko Osaba Albert Bifet Francisco Herrera

MultiETSC: automated machine learning for early time series classification.

Gilles Ottervanger Mitra Baratchi Holger H. Hoos

Early abandoning and pruning for elastic distances including dynamic time warping.

Matthieu Herrmann Geoffrey I. Webb

BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent.

Sibylle Hess Gianvito Pio Michiel E. Hochstenbach Michelangelo Ceci

Introduction to the special issue of the ECML PKDD 2021 journal track.

Annalisa Appice Sergio Escalera José A. Gámez Heike Trautmann

Characterizing attitudinal network graphs through frustration cloud.

Lucas Rusnak Jelena Tesic

Continuous treatment effect estimation via generative adversarial de-confounding.

Kun Kuang Yunzhe Li Bo Li Peng Cui Hongxia Yang Jianrong Tao Fei Wu

Chebyshev approaches for imbalanced data streams regression models.

Ehsan Aminian Rita P. Ribeiro João Gama

Time series clustering in linear time complexity.

Xiaosheng Li Jessica Lin Liang Zhao

A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering.

Rodrigo Randel Daniel Aloise Simon J. Blanchard Alain Hertz

Implicit consensus clustering from multiple graphs.

Rafika Boutalbi Lazhar Labiod Mohamed Nadif

Isolation kernel: the X factor in efficient and effective large scale online kernel learning.

Kai Ming Ting Jonathan R. Wells Takashi Washio

Social media as author-audience games.

Andre F. Ribeiro

Boosting house price predictions using geo-spatial network embedding.

Sarkar Snigdha Sarathi Das Mohammed Eunus Ali Yuan-Fang Li Yong-Bin Kang Timos Sellis


Volume 35, Number 5, September 2021
K-plex cover pooling for graph neural networks.

Davide Bacciu Alessio Conte Roberto Grossi Francesco Landolfi Andrea Marino

Link prediction in dynamic networks using random dot product graphs.

Francesco Sanna Passino Anna S. Bertiger Joshua C. Neil Nicholas A. Heard

Selego: robust variate selection for accurate time series forecasting.

Manoj Tiwaskar Yash Garg Xinsheng Li K. Selçuk Candan Maria Luisa Sapino

Attention based adversarially regularized learning for network embedding.

Jieyue He Jinmeng Wang Zhizhou Yu

Structure learning for relational logistic regression: an ensemble approach.

Nandini Ramanan Gautam Kunapuli Tushar Khot Bahareh Fatemi Seyed Mehran Kazemi David Poole Kristian Kersting Sriraam Natarajan

Differentially Private Distance Learning in Categorical Data.

Elena Battaglia Simone Celano Ruggero G. Pensa

Data-driven detection of counterpressing in professional football.

Pascal Bauer Gabriel Anzer

An alternating nonmonotone projected Barzilai-Borwein algorithm of nonnegative factorization of big matrices.

Ting Li Jiayi Tang Zhong Wan

TSK-Streams: learning TSK fuzzy systems for regression on data streams.

Ammar Shaker Eyke Hüllermeier

Hyperbolic node embedding for temporal networks.

Lili Wang Chenghan Huang Weicheng Ma Ruibo Liu Soroush Vosoughi

AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series.

Lin Zhang Wenyu Zhang Maxwell J. McNeil Nachuan Chengwang David S. Matteson Petko Bogdanov

Fake review detection on online E-commerce platforms: a systematic literature review.

Himangshu Paul Alexander G. Nikolaev

Effective social post classifiers on top of search interfaces.

Ryan Rivas Vagelis Hristidis


Volume 35, Number 4, July 2021
Predictive modeling of infant mortality.

Antonia Saravanou Clemens Noelke Nicholas Huntington Dolores Acevedo-Garcia Dimitrios Gunopulos

Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition.

Chi Zhang Hadi Fanaee-T Magne Thoresen

Affinity analysis for studying physicians' prescription behavior.

Iraklis Varlamis

Adversarial balancing-based representation learning for causal effect inference with observational data.

Xin Du Lei Sun Wouter Duivesteijn Alexander G. Nikolaev Mykola Pechenizkiy

Guest editorial: Special issue on mining for health.

Myra Spiliopoulou Panagiotis Papapetrou

CrashNet: an encoder-decoder architecture to predict crash test outcomes.

Mohamed Karim Belaid Maximilian Rabus Ralf Krestel

An overlap sensitive neural network for class imbalanced data.

Shaukat Ali Shahee Usha Ananthakumar

Correlations between random projections and the bivariate normal.

Keegan Kang

Handling imbalance in hierarchical classification problems using local classifiers approaches.

Rodolfo Miranda Pereira Yandre M. G. Costa Carlos N. Silla

What's in a name? - gender classification of names with character based machine learning models.

Yifan Hu Changwei Hu Thanh Tran Tejaswi Kasturi Elizabeth Joseph Matt Gillingham

Relational Learning Analysis of Social Politics using Knowledge Graph Embedding.

Bilal Abu-Salih Marwan Al-Tawil Ibrahim Aljarah Hossam Faris Pornpit Wongthongtham Kit Yan Chan Amin Beheshti

Smoothed dilated convolutions for improved dense prediction.

Zhengyang Wang Shuiwang Ji

Efficient set-valued prediction in multi-class classification.

Thomas Mortier Marek Wydmuch Krzysztof Dembczynski Eyke Hüllermeier Willem Waegeman

Extending greedy feature selection algorithms to multiple solutions.

Giorgos Borboudakis Ioannis Tsamardinos

A deep multimodal model for bug localization.

Ziye Zhu Yun Li Yu Wang Yaojing Wang Hanghang Tong

Fast computation of Katz index for efficient processing of link prediction queries.

Mustafa Coskun Abdelkader Baggag Mehmet Koyutürk

Pseudoinverse graph convolutional networks.

Dominik Alfke Martin Stoll

Correction to: Streaming changepoint detection for transition matrices.

Joshua Plasse Henrique Hoeltgebaum Niall M. Adams

Streaming changepoint detection for transition matrices.

Joshua Plasse Henrique Hoeltgebaum Niall M. Adams

Widening: using parallel resources to improve model quality.

Michael R. Berthold Alexander Fillbrunn Arno Siebes

Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously.

Jen-Wei Huang Bijay Prasad Jaysawal Cheng-Chung Wang

Homophily outlier detection in non-IID categorical data.

Guansong Pang Longbing Cao Ling Chen


Volume 35, Number 3, May 2021
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches.

Lu Wang Dongxiao Zhu

Sequential recommendation with metric models based on frequent sequences.

Corentin Lonjarret Roch Auburtin Céline Robardet Marc Plantevit

Multi-label learning with missing and completely unobserved labels.

Jun Huang Linchuan Xu Kun Qian Jing Wang Kenji Yamanishi

Time series extrinsic regression.

Chang Wei Tan Christoph Bergmeir François Petitjean Geoffrey I. Webb

Sparse randomized shortest paths routing with Tsallis divergence regularization.

Pierre Leleux Sylvain Courtain Guillaume Guex Marco Saerens

Dataset2Vec: learning dataset meta-features.

Hadi S. Jomaa Lars Schmidt-Thieme Josif Grabocka

Word-class embeddings for multiclass text classification.

Alejandro Moreo Andrea Esuli Fabrizio Sebastiani

Time series motifs discovery under DTW allows more robust discovery of conserved structure.

Sara Alaee Ryan Mercer Kaveh Kamgar Eamonn J. Keogh

FuseRec: fusing user and item homophily modeling with temporal recommender systems.

Kanika Narang Yitong Song Alexander G. Schwing Hari Sundaram

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.

Ben Halstead Yun Sing Koh Patricia Riddle Russel Pears Mykola Pechenizkiy Albert Bifet

ForestDSH: a universal hash design for discrete probability distributions.

Arash Gholami Davoodi Sean Chang Hyun Gon Yoo Anubhav Baweja Mihir Mongia Hosein Mohimani

Detecting virtual concept drift of regressors without ground truth values.

Emilia Oikarinen Henri Tiittanen Andreas Henelius Kai Puolamäki

Deep graph similarity learning: a survey.

Guixiang Ma Nesreen K. Ahmed Theodore L. Willke Philip S. Yu

Mining communities and their descriptions on attributed graphs: a survey.

Martin Atzmueller Stephan Günnemann Albrecht Zimmermann


Volume 35, Number 2, March 2021
Learning tractable probabilistic models for moral responsibility and blame.

Lewis Hammond Vaishak Belle

A framework for deep constrained clustering.

Hongjing Zhang Tianyang Zhan Sugato Basu Ian Davidson

User preference and embedding learning with implicit feedback for recommender systems.

Sumit Sidana Mikhail Trofimov Oleh Horodnytskyi Charlotte Laclau Yury Maximov Massih-Reza Amini

Social explorative attention based recommendation for content distribution platforms.

Wenyi Xiao Huan Zhao Haojie Pan Yangqiu Song Vincent W. Zheng Qiang Yang

Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data.

Yuan Jin Ming Liu Yunfeng Li Ruohua Xu Lan Du Longxiang Gao Yong Xiang

Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns.

Yassien Shaalan Xiuzhen Zhang Jeffrey Chan Mahsa Salehi

The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.

Alejandro Pasos Ruiz Michael Flynn James Large Matthew Middlehurst Anthony J. Bagnall


Volume 35, Number 1, January 2021
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification.

Jonathan Rebane Isak Karlsson Leon Bornemann Panagiotis Papapetrou

Mining explainable local and global subgraph patterns with surprising densities.

Junning Deng Bo Kang Jefrey Lijffijt Tijl De Bie

Natural language techniques supporting decision modelers.

Leticia Arco Gonzalo Nápoles Frank Vanhoenshoven Ana Laura Lara Gladys Casas Koen Vanhoof

An exemplar-based clustering using efficient variational message passing.

Mohamed Hamza Ibrahim Rokia Missaoui

The network-untangling problem: from interactions to activity timelines.

Polina Rozenshtein Nikolaj Tatti Aristides Gionis

For real: a thorough look at numeric attributes in subgroup discovery.

Marvin Meeng Arno J. Knobbe

Recency-based sequential pattern mining in multiple event sequences.

Hakkyu Kim Dong-Wan Choi

Online summarization of dynamic graphs using subjective interestingness for sequential data.

Sarang Kapoor Dhish Kumar Saxena Matthijs van Leeuwen

A survey of deep network techniques all classifiers can adopt.

Alireza Ghods Diane J. Cook

A survey of community detection methods in multilayer networks.

Xinyu Huang Dongming Chen Tao Ren Dongqi Wang