Download - Machine Learning and Knowledge Discovery
Frank Hutter - Kristian Kersting -
Jefrey Lijffijt - Isabel Valera (Eds.)
Machine Learning andKnowledge Discoveryin DatabasesEuropean Conference, ECML PKDD 2020Ghent, Belgium, September 14—18, 2020Proceedings, Part I
2 Springer
Contents — Part I
Pattern Mining
Maximum Margin Separations in Finite Closure Systems . .Florian Seiffarth, Tamás Horváth, and Stefan Wrobel
Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL. . .Hugo M. Proenga, Peter Grünwald, Thomas Báck,and Matthijs van Leeuwen
A Relaxation-Based Approach for Mining Diverse Closed Patterns .Arnold Hien, Samir Loudni, Noureddine Aribi, Yahia Lebbah,Mohammed El Amine Laghzaoui, Abdelkader Ouali,and Albrecht Zimmermann
OMBA: User-Guided Product Representations for Online MarketBasket Analysis ...
Amila Silva, Ling Luo, Shanika Karunasekera, and Christopher Leckie
Clustering
Online Binary Incomplete Multi-view Clustering. . .
Longqi Yang, Liangliang Zhang, and Yuhua Tang
Utilizing Structure-Rich Features to Improve Clustering lsBenjamin Schelling, Lena Greta Marie Bauer, Sahar Behzadi,and Claudia Plant
Simple, Scalable, and Stable Variational Deep Clustering.Lele Cao, Sahar Asadi, Wenfei Zhu, Christian Schmidli,and Michael Sjóberg
Gauss Shift: Density Attractor Clustering Faster Than Mean Shift. . 2Richard Leibrandt and Stephan Günnemann
Privacy and Fairness
Privacy-Preserving Decision Trees Training and Prediction. . .Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron,Moni Shahar, and Margarita Vald
Poisoning Attacks on Algorithmic Fairness. .David Solans, Battista Biggio, and Carlos Castillo
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. Contents — Part I
(Social) Network Analysis and Computational Social Science
SpecGreepy: Unified Dense Subgraph Detection .Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen,and Xueqi Cheng
Networked Point Process Models Under the Lens of ScrutinyGuilherme Borges, Flavio Figueiredo, Renato M. Assunçäo,and Pedro O. S. Vaz-de-Melo
FB2vec: A Novel Representation Learning Model for ForwardingBehaviors on Online Social Networks .
Li Ma, Mingding Liao, Xiaofeng Gao, Guoze Zhang, Qiang Yan,and Guihai Chen
A Framework for Deep Quantification Learning .....Lei Qi, Mohammed Khaleel, Wallapak Tavanapong, Adisak Sukul,and David Peterson
PROMO for Interpretable Personalized Social Emotion Mining. . ;Jason (Jiasheng) Zhang and Dongwon Lee
Progressive Supervision for Node Classification .Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, and Bryan Hooi
Modeling Dynamic Heterogeneous Network for Link Prediction UsingHierarchical Attention with Temporal RNN .. |
Hansheng Xue, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, and Yu Lin
GIKT: A Graph-Based Interaction Model for Knowledge Tracing |Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang,Yaoming Zhu, Weinan Zhang, and Yong Yu
Dimensionality Reduction and Autoencoders
Simple and Effective Graph Autoencoders with One-Hop Linear Models. . . :Guillaume Salha, Romain Hennequin, and Michalis Vazirgiannis
Sparse Separable Nonnegative Matrix Factorization. . . . .
Nicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen, and Nicolas Gillis
Domain Adaptation
Robust Domain Adaptation: Representations, Weights and Inductive Bias ...Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami,and Céline Hudelot
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Contents — Part ]
Target to Source Coordinate-Wise Adaptation of Pre-trained Models . o:Luxin Zhang, Pascal Germain, Yacine Kessaci,and Christophe BiernackiUnsupervised Multi-source Domain Adaptation for Regression..Guillaume Richard, Antoine de Mathelin, Georges Hébrail,Mathilde Mougeot, and Nicolas Vayatis
Open Set Domain Adaptation Using Optimal Transport. ... EMarwa Kechaou, Romain Herault, Mokhtar Z. Alaya, and Gilles Gasso
Sketching, Sampling, and Binary Projections
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search. . .Stephan S. Lorenzen and Ninh Pham
Modeling Winner-Take-All Competition in Sparse Binary Projections .Wenye Li
LOAD: LSH-Based /9-Sampling over Stream Data with Near-Duplicates . DDingzhu Lurong, Yanlong Wen, Jiangwei Zhang, and Xiaojie Yuan
Spatio-Temporal Tensor Sketching via Adaptive Sampling. ....Jing Ma, Qiuchen Zhang, Joyce C. Ho, and Li Xiong
Graphical Models and Causality
Orthogonal Mixture of Hidden Markov ModelsNegar Safinianaini, Camila P. E. de Souza, Henrik Bostrom,and Jens Lagergren
Poisson Graphical Granger Causality by Minimum Message LengthKaterina Hlavackova-Schindler and Claudia Plant
Counterfactual Propagation for Semi-supervised Individual TreatmentEffect Estimation . . 1
Shonosuke Harada and Hisashi Kashima
(Spatio-)Temporal Data and Recurrent Neural Networks
Real-Time Fine-Grained Freeway Traffic State Estimation UnderSparse Observation . . el.
Yangxin Lin, Yang Zhou, Shengyue Yao, Fan Ding, and Ping Wang
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Contents — Part I
Revisiting Convolutional Neural Networks for Citywide CrowdFlow Analytics. .... el. SC
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang,Yu Zheng, and David S. Rosenblum
RLTS: Robust Learning Time-Series Shapelets .Akihiro Yamaguchi, Shigeru Maya, and Ken Ueno
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model . 2Ding Zhou, Yuanjun Gao, and Liam Paninski
Predicting Future Classifiers for Evolving Non-linear Decision Boundaries. . .Kanishka Khandelwal, Devendra Dhaka, and Vivek Barsopia
Parameterless Semi-supervised Anomaly Detection in UnivariateTime Series . . '
Oleg legorov and Sebastian Fischmeister
The Temporal Dictionary Ensemble (TDE) Classifier for TimeSeries Classification ....
Matthew Middlehurst, James Large, Gavin Cawley,and Anthony Bagnall
Incremental Training of a Recurrent Neural Network Exploitinga Multi-scale Dynamic Memory ..... '
Antonio Carta, Alessandro Sperduti, and Davide Bacciu
Flexible Recurrent Neural Networks ...
Anne Lambert, Francoise Le Bolzer, and Francois Schnitzler
Z-Embedding: A Spectral Representation of Event Intervals for EfficientClustering and Classification .... a
Zed Lee, Sarünas Girdzijauskas, and Panagiotis Papapetrou
Collaborative Filtering and Matrix Completion
Neural Cross-Domain Collaborative Filtering with Shared Entities. |M. Vijaikumar, Shirish Shevade, and M. N. Murty
NoisyCUR: An Algorithm for Two-Cost Budgeted Matrix Completion . . . "3Dong Hu, Alex Gittens, and Malik Magdon-Ismail
Author Index ......
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