ECML-PKDD 2018
94 papers
Beyond Outlier Detection: LookOut for Pictorial Explanation
Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos Block CUR: Decomposing Matrices Using Groups of Columns
Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson Clustering in the Presence of Concept Drift
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama Cooperative Multi-Agent Policy Gradient
Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin Detecting Autism by Analyzing a Simulated Social Interaction
Hanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek, Tobias Scheffer Efficient Decentralized Deep Learning by Dynamic Model Averaging
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel Frame-Based Optimal Design
Sebastian Mair, Yannick Rudolph, Vanessa Closius, Ulf Brefeld GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid
Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos Image Anomaly Detection with Generative Adversarial Networks
Lucas Deecke, Robert A. Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft Image-to-Markup Generation via Paired Adversarial Learning
Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu Lambert Matrix Factorization
Arto Klami, Jarkko Lagus, Joseph Sakaya Large-Scale Nonlinear Variable Selection via Kernel Random Features
Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet MetaBags: Bagged Meta-Decision Trees for Regression
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski Mining Periodic Patterns with a MDL Criterion
Esther Galbrun, Peggy Cellier, Nikolaj Tatti, Alexandre Termier, Bruno Crémilleux Mining Tree Patterns with Partially Injective Homomorphisms
Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel Modular Dimensionality Reduction
Henry W. J. Reeve, Tingting Mu, Gavin Brown One-Class Quantification
Denis Moreira dos Reis, André Gustavo Maletzke, Everton Alvares Cherman, Gustavo Enrique De Almeida Prado Alves Batista ONE-M: Modeling the Co-Evolution of Opinions and Network Connections
Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla Online Learning of Weighted Relational Rules for Complex Event Recognition
Nikos Katzouris, Evangelos Michelioudakis, Alexander Artikis, Georgios Paliouras Ontology Alignment Based on Word Embedding and Random Forest Classification
Ikechukwu Nkisi-Orji, Nirmalie Wiratunga, Stewart Massie, Kit-Ying Hui, Rachel Heaven Ordinal Label Proportions
Rafael Poyiadzi, Raúl Santos-Rodríguez, Tijl De Bie Personalized Thread Recommendation for MOOC Discussion Forums
Andrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang Privacy Preserving Synthetic Data Release Using Deep Learning
Nazmiye Ceren Abay, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, Latanya Sweeney Risk-Averse Matchings over Uncertain Graph Databases
Charalampos E. Tsourakakis, Shreyas Sekar, Johnson Lam, Liu Yang Scalable Nonlinear AUC Maximization Methods
Majdi Khalid, Indrakshi Ray, Hamidreza Chitsaz Semi-Supervised Blockmodelling with Pairwise Guidance
Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park Social-Affiliation Networks: Patterns and the SOAR Model
Dhivya Eswaran, Reihaneh Rabbany, Artur W. Dubrawski, Christos Faloutsos SpectralLeader: Online Spectral Learning for Single Topic Models
Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel Temporally Evolving Community Detection and Prediction in Content-Centric Networks
Ana Paula Appel, Renato Luiz de Freitas Cunha, Charu C. Aggarwal, Marcela Megumi Terakado Toward an Understanding of Adversarial Examples in Clinical Trials
Konstantinos Papangelou, Konstantinos Sechidis, James Weatherall, Gavin Brown Variational Bayes for Mixture Models with Censored Data
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda