Journal Track

Accepted papers in Data Mining and Knowledge Discovery Journal

An Efficient Procedure for Mining Egocentric Temporal Motifs
Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini
Controlling Hallucinations at Word Level in Data-to-Text Generation
Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari
Counterfactual Inference with Latent Variable and its Application in Mental Health Care
Guilherme F Marchezini, Anisio M Lacerda, Gisele Lobo Pappa, Wagner Meira Jr, Debora Miranda, Marco A Romano-Silva, Danielle S Costa, Leandro Malloy Diniz
Dynamic Self-paced Sampling Ensemble for Highly Imbalanced and Class-overlapped Data Classification
Fang Zhou, Suting Gao, Lyu Ni, Martin Pavlovski, Qiwen Dong, Zoran Obradovic, Weining Qian
EmbAssi: Embedding Assignment Costs for Similarity Search in Large Graph Databases
Franka Bause, Erich Schubert, Nils Morten Kriege
Human-in-the-loop Handling of Knowledge Drift
Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso
INK: knowledge graph embeddings for node classification
Bram Steenwinckel, Gilles Vandewiele, Terencio Agozzino, Michael Weyns, Filip De Turck, Femke Ongenae
Mining Sequences with Exceptional Transition Behaviour of Varying Order using Quality Measures based on Information-Theoretic Scoring Functions
Rianne Margaretha Schouten, Marcos L.P. Bueno, Wouter Duivesteijn, Mykola Pechenikziy
MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification
Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I Webb
Ranking with submodular functions on a budget
Guangyi Zhang, Nikolaj Tatti, Aristides Gionis
Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Count Estimation
Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Dias, Wagner Meira Jr., Bruno Ribeiro
SOKNL: A Novel Way of Integrating K-Nearest Neighbours with Adaptive Random Forest Regression for Data Streams
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
SPEck: Mining Statistically-significant Sequential Patterns Efficiently with Exact Sampling
Steedman Jenkins, Stefan Walzer-Goldfeld, Matteo Riondato
Strengthening ties towards a highly-connected world
Antonis Matakos, Aristides Gionis
Synwalk – Community Detection via Random Walk Modelling
Christian Toth, Denis Helic, Bernhard C. Geiger
Transfer How Much: A Fine-Grained Measure of the Knowledge Transferability of User Behavior Sequences in Social Network
Nuo Li, Bin Guo, Yan Liu, Yasan Ding, En Xu, LinaYao and Zhiwen Yu
VPint: Value propagation-based spatial interpolation
Laurens Arp, Mitra Baratchi, Holger Hoos

Accepted papers in Machine Learning Journal

To be added