ECML-PKDD 2017
148 papers
Activity-Driven Influence Maximization in Social Networks
Rohit Kumar, Muhammad Aamir Saleem, Toon Calders, Xike Xie, Torben Bach Pedersen Adaptive Skip-Train Structured Regression for Temporal Networks
Martin Pavlovski, Fang Zhou, Ivan Stojkovic, Ljupco Kocarev, Zoran Obradovic An AI Planning System for Data Cleaning
Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica Analyzing Granger Causality in Climate Data with Time Series Classification Methods
Christina Papagiannopoulou, Stijn Decubber, Diego G. Miralles, Matthias Demuzere, Niko E. C. Verhoest, Willem Waegeman Arbitrated Ensemble for Time Series Forecasting
Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert
Kamalika Das, Ilya Avrekh, Bryan L. Matthews, Manali Sharma, Nikunj C. Oza Attributed Graph Clustering with Unimodal Normalized Cut
Wei Ye, Linfei Zhou, Xin Sun, Claudia Plant, Christian Böhm Bayesian Nonlinear Support Vector Machines for Big Data
Florian Wenzel, Théo Galy-Fajou, Matthäus Deutsch, Marius Kloft Co-Regularised Support Vector Regression
Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications
Florian Lemmerich, Philipp Singer, Martin Becker, Lisette Espin Noboa, Dimitar Dimitrov, Denis Helic, Andreas Hotho, Markus Strohmaier Cost Sensitive Time-Series Classification
Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic Data-Driven Approaches for Smart Parking
Fabian Bock, Sergio Di Martino, Monika Sester DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters
You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang Distributed Multi-Task Learning for Sensor Network
Jiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa Efficient Temporal Kernels Between Feature Sets for Time Series Classification
Romain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos Entropic Trace Estimates for Log Determinants
Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts Event Detection and Summarization Using Phrase Network
Sara Melvin, Wenchao Yu, Peng Ju, Sean D. Young, Wei Wang Fair Kernel Learning
Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks
Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile, Floriana Esposito FCNN: Fourier Convolutional Neural Networks
Harry Pratt, Bryan M. Williams, Frans Coenen, Yalin Zheng Framework for Exploring and Understanding Multivariate Correlations
Louis Kirsch, Niklas Riekenbrauck, Daniel Thevessen, Marcus Pappik, Axel Stebner, Julius Kunze, Alexander Meissner, Arvind Kumar Shekar, Emmanuel Müller GaKCo: A Fast Gapped K-Mer String Kernel Using Counting
Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi Guiding InfoGAN with Semi-Supervision
Adrian Spurr, Emre Aksan, Otmar Hilliges Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining
Wouter Duivesteijn, Tara Farzami, Thijs Putman, Evertjan Peer, Hilde J. P. Weerts, Jasper N. Adegeest, Gerson Foks, Mykola Pechenizkiy Including Multi-Feature Interactions and Redundancy for Feature Ranking in Mixed Datasets
Arvind Kumar Shekar, Tom Bocklisch, Patricia Iglesias Sánchez, Christoph Nikolas Straehle, Emmanuel Müller K-Clique-Graphs for Dense Subgraph Discovery
Giannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis Kernel Sequential Monte Carlo
Ingmar Schuster, Heiko Strathmann, Brooks Paige, Dino Sejdinovic Learning Łukasiewicz Logic Fragments by Quadratic Programming
Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini Learning TSK Fuzzy Rules from Data Streams
Ammar Shaker, Waleri Heldt, Eyke Hüllermeier Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond
Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade Modeling the Temporal Nature of Human Behavior for Demographics Prediction
Bjarke Felbo, Pål Sundsøy, Alex 'Sandy' Pentland, Sune Lehmann, Yves-Alexandre de Montjoye Multi-View Spectral Clustering on Conflicting Views
Xiao He, Limin Li, Damian Roqueiro, Karsten M. Borgwardt Non-Parametric Online AUC Maximization
Balázs Szörényi, Snir Cohen, Shie Mannor Nyström Sketches
Daniel J. Perry, Braxton Osting, Ross T. Whitaker On-Line Dynamic Time Warping for Streaming Time Series
Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano Partial Device Fingerprints
Michael Ciere, Carlos Gañán, Michel van Eeten Phenotype Inference from Text and Genomic Data
Maria Brbic, Matija Piskorec, Vedrana Vidulin, Anita Krisko, Tomislav Smuc, Fran Supek Pivot-Based Distributed K-Nearest Neighbor Mining
Caitlin Kuhlman, Yizhou Yan, Lei Cao, Elke A. Rundensteiner PowerCast: Mining and Forecasting Power Grid Sequences
Hyun Ah Song, Bryan Hooi, Marko Jereminov, Amritanshu Pandey, Larry T. Pileggi, Christos Faloutsos Process-Based Modeling and Design of Dynamical Systems
Jovan Tanevski, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini Ranking Based Multitask Learning of Scoring Functions
Ivan Stojkovic, Mohamed F. Ghalwash, Zoran Obradovic Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms
Pasquale Minervini, Luca Costabello, Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche Robust, Deep and Inductive Anomaly Detection
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla RSSI-Based Supervised Learning for Uncooperative Direction-Finding
Tathagata Mukherjee, Michael Duckett, Piyush Kumar, Jared Devin Paquet, Daniel Rodríguez, Mallory Haulcomb, Kevin George, Eduardo L. Pasiliao Jr. Scatteract: Automated Extraction of Data from Scatter Plots
Mathieu Cliche, David S. Rosenberg, Dhruv Madeka, Connie Yee Sequence Generation with Target Attention
Yingce Xia, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu SINAS: Suspect Investigation Using Offenders' Activity Space
Mohammad A. Tayebi, Uwe Glässer, Patricia L. Brantingham, Hamed Yaghoubi Shahir Structural Semantic Models for Automatic Analysis of Urban Areas
Gianni Barlacchi, Alberto Rossi, Bruno Lepri, Alessandro Moschitti Subjectively Interesting Connecting Trees
Florian Adriaens, Jefrey Lijffijt, Tijl De Bie Survival Factorization on Diffusion Networks
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test
Shahrzad Gholami, Benjamin J. Ford, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga Tetrahedron: Barycentric Measure Visualizer
Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech TF Boosted Trees: A Scalable TensorFlow Based Framework for Gradient Boosting
Natalia Ponomareva, Soroush Radpour, Gilbert Hendry, Salem Haykal, Thomas Colthurst, Petr Mitrichev, Alexander Grushetsky UAPD: Predicting Urban Anomalies from Spatial-Temporal Data
Xian Wu, Yuxiao Dong, Chao Huang, Jian Xu, Dong Wang, Nitesh V. Chawla Urban Water Flow and Water Level Prediction Based on Deep Learning
Haytham Assem, Salem Gharbia, Gabor Makrai, Paul Johnston, Laurence W. Gill, Francesco Pilla Using Machine Learning for Labour Market Intelligence
Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica zooRank: Ranking Suspicious Entities in Time-Evolving Tensors
Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer