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Data Analytics for Renewable Energy Integration - 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers
Wei Lee Woon, Zeyar Aung, Oliver Kramer, Stuart E. Madnick
ISBN: 978-3-319-50946-410097, 2017
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Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, September 11th, 2015
Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
1970, 2017
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Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18, 2017
Ilaria Bordino, Guido Caldarelli, Fabio Fumarola, Francesco Gullo, Tiziano Squartini
1941, 2017
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Alternative Semantic Representations for Zero-Shot Human Action Recognition
Qian Wang, Ke Chen
ECML/PKDD (1), 87-102, 2017
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Content-Based Social Recommendation with Poisson Matrix Factorization
Eliezer de Souza da Silva, Helge Langseth, Heri Ramampiaro
ECML/PKDD (1), 530-546, 2017
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WHODID: Web-Based Interface for Human-Assisted Factory Operations in Fault Detection, Identification and Diagnosis
Pierre Blanchart, Cédric Gouy-Pailler
ECML/PKDD (3), 437-441, 2017
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Thompson Sampling for Optimizing Stochastic Local Search
Tong Yu, Branislav Kveton, Ole J. Mengshoel
ECML/PKDD (1), 493-510, 2017
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FCNN: Fourier Convolutional Neural Networks
Harry Pratt, Bryan M. Williams, Frans Coenen, Yalin Zheng
ECML/PKDD (1), 786-798, 2017
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Probabilistic Inference of Twitter Users' Age Based on What They Follow
Benjamin Paul Chamberlain, Clive Humby, Marc Peter Deisenroth
ECML/PKDD (3), 191-203, 2017
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Bayesian Inference for Least Squares Temporal Difference Regularization
Nikolaos Tziortziotis, Christos Dimitrakakis
ECML/PKDD (2), 126-141, 2017
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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
ECML/PKDD (3), 15-26, 2017
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ALADIN: A New Approach for Drug-Target Interaction Prediction
Krisztian Buza, Ladislav Peska
ECML/PKDD (2), 322-337, 2017
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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
ECML/PKDD (1), 239-255, 2017
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UAPD: Predicting Urban Anomalies from Spatial-Temporal Data
Xian Wu, Yuxiao Dong, Chao Huang, Jian Xu, Dong Wang 0002, Nitesh V. Chawla
ECML/PKDD (2), 622-638, 2017
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C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization
Sibylle Hess, Katharina Morik
ECML/PKDD (1), 547-563, 2017
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PowerCast: Mining and Forecasting Power Grid Sequences
Hyun Ah Song, Bryan Hooi, Marko Jereminov, Amritanshu Pandey, Larry T. Pileggi, Christos Faloutsos
ECML/PKDD (2), 606-621, 2017
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Efficient Temporal Kernels Between Feature Sets for Time Series Classification
Romain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos
ECML/PKDD (2), 528-543, 2017
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Non-redundant Spectral Dimensionality Reduction
Yochai Blau, Tomer Michaeli
ECML/PKDD (1), 256-271, 2017
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A Network Architecture for Multi-Multi-Instance Learning
Alessandro Tibo, Paolo Frasconi, Manfred Jaeger
ECML/PKDD (1), 737-752, 2017
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Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications
Florian Lemmerich, Philipp Singer, Martin Becker 0003, Lisette Espin Noboa, Dimitar Dimitrov, Denis Helic, Andreas Hotho, Markus Strohmaier
ECML/PKDD (3), 354-357, 2017
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A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations
Maryam Tavakol, Ulf Brefeld
ECML/PKDD (2), 269-284, 2017
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Nyström Sketches
Daniel J. Perry, Braxton Osting, Ross T. Whitaker
ECML/PKDD (1), 427-442, 2017
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Unsupervised Signature Extraction from Forensic Logs
Stefan Thaler, Vlado Menkovski, Milan Petkovic
ECML/PKDD (3), 305-316, 2017
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Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays
Keisuke Fujii, Yuki Inaba, Yoshinobu Kawahara
ECML/PKDD (3), 127-139, 2017
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I
Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski
ISBN: 978-3-319-71248-210534, 2017
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Proceedings of the 4th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18th, 2017
Jesse Davis, Mehdi Kaytoue, Albrecht Zimmermann
1971, 2017
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A Regularization Method with Inference of Trust and Distrust in Recommender Systems
Dimitrios Rafailidis, Fabio Crestani
ECML/PKDD (2), 253-268, 2017
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Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation
Shoujin Wang, Liang Hu, Longbing Cao
ECML/PKDD (2), 285-302, 2017
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New Frontiers in Mining Complex Patterns - 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers
Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
ISBN: 978-3-319-39314-89607, 2016
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Online Failure Prevention from Connected Heating Systems
Manuel Mourato, João Mendes-Moreira, Tânia Correia
STREAMEVOLV@ECML-PKDD, 2016
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Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2016, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2016, Riva del Garda, Italy, September 23, 2016
Peggy Cellier, Thierry Charnois, Andreas Hotho, Stan Matwin, Marie-Francine Moens, Yannick Toussaint
1646, 2016
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Online Bagging for Recommendation with Incremental Matrix Factorization
João Vinagre, Alípio Mário Jorge, João Gama
STREAMEVOLV@ECML-PKDD, 2016
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Active Learning for Data Streams Under Concept Drift and Concept Evolution
Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia
STREAMEVOLV@ECML-PKDD, 2016
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Native Advertisement Selection and Allocation in Social Media Post Feeds
Iordanis Koutsopoulos, Panagiotis Spentzouris
ECML/PKDD (1), 588-603, 2016
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Credible Review Detection with Limited Information Using Consistency Features
Subhabrata Mukherjee, Sourav Dutta, Gerhard Weikum
ECML/PKDD (2), 195-213, 2016
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Topy: Real-Time Story Tracking via Social Tags
Gevorg Poghosyan, Muhammad Atif Qureshi 0001, Georgiana Ifrim
ECML/PKDD (3), 45-49, 2016
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Automatic Detection of Non-Biological Artifacts in ECGs Acquired During Cardiac Computed Tomography
Rustem Bekmukhametov, Sebastian Pölsterl, Thomas Allmendinger, Minh-Duc Doan, Nassir Navab
ECML/PKDD (3), 193-208, 2016
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Semigeometric Tiling of Event Sequences
Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki
ECML/PKDD (1), 329-344, 2016
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On Dynamic Feature Weighting for Feature Drifting Data Streams
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet
ECML/PKDD (2), 129-144, 2016
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Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes
Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun
ECML/PKDD (2), 475-491, 2016
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An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming
John O. R. Aoga, Tias Guns, Pierre Schaus
ECML/PKDD (2), 315-330, 2016
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Finding Incident-Related Social Media Messages for Emergency Awareness
Alexander Nieuwenhuijse, Jorn Bakker, Mykola Pechenizkiy
ECML/PKDD (3), 67-70, 2016
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A Tool for Subjective and Interactive Visual Data Exploration
Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie
ECML/PKDD (3), 3-7, 2016
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Functional Bid Landscape Forecasting for Display Advertising
Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
ECML/PKDD (1), 115-131, 2016
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Using Social Media to Promote STEM Education: Matching College Students with Role Models
Ling He, Lee Murphy, Jiebo Luo
ECML/PKDD (3), 79-95, 2016
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Augmented Leverage Score Sampling with Bounds
Daniel J. Perry, Ross T. Whitaker
ECML/PKDD (2), 543-558, 2016
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Link Prediction in Dynamic Networks Using Graphlet
Mahmudur Rahman, Mohammad Al Hasan
ECML/PKDD (1), 394-409, 2016
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Pure Exploration for Max-Quantile Bandits
Yahel David, Nahum Shimkin
ECML/PKDD (1), 556-571, 2016
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INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data
Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko
ECML/PKDD (3), 22-26, 2016
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Graph-Margin Based Multi-label Feature Selection
Peng Yan, Yun Li
ECML/PKDD (1), 540-555, 2016
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Local Exceptionality Detection on Social Interaction Networks
Martin Atzmueller
ECML/PKDD (3), 298-302, 2016
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Ballpark Learning: Estimating Labels from Rough Group Comparisons
Tom Hope, Dafna Shahaf
ECML/PKDD (2), 299-314, 2016
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Persistent Roles in Online Social Networks
Matt Revelle, Carlotta Domeniconi, Aditya Johri
ECML/PKDD (2), 47-62, 2016
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Efficient Distributed Decision Trees for Robust Regression
Tian Guo, Konstantin Kutzkov, Mohamed Ahmed, Jean-Paul Calbimonte, Karl Aberer
ECML/PKDD (2), 79-95, 2016
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Aspect Mining with Rating Bias
Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, Bin Wu
ECML/PKDD (2), 458-474, 2016
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Transactional Tree Mining
Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
ECML/PKDD (1), 182-198, 2016
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Improving Locality Sensitive Hashing Based Similarity Search and Estimation for Kernels
Aniket Chakrabarti, Bortik Bandyopadhyay, Srinivasan Parthasarathy
ECML/PKDD (2), 641-656, 2016
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Anti Imitation-Based Policy Learning
Michèle Sebag, Riad Akrour, Basile Mayeur, Marc Schoenauer
ECML/PKDD (2), 559-575, 2016
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Graphical Model Sketch
Branislav Kveton, Hung Hai Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun
ECML/PKDD (1), 81-97, 2016
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Learning from Software Project Histories - Predictive Studies Based on Mining Software Repositories
Verena Honsel, Steffen Herbold, Jens Grabowski
ECML/PKDD (3), 267-270, 2016
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Coupled Hierarchical Dirichlet Process Mixtures for Simultaneous Clustering and Topic Modeling
Masamichi Shimosaka, Takeshi Tsukiji, Shoji Tominaga, Kota Tsubouchi
ECML/PKDD (2), 230-246, 2016
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Finding Dynamic Co-evolving Zones in Spatial-Temporal Time Series Data
Yun Cheng, Xiucheng Li, Yan Li
ECML/PKDD (3), 129-144, 2016
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Linear Bandits in Unknown Environments
Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari
ECML/PKDD (2), 282-298, 2016
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Huber-Norm Regularization for Linear Prediction Models
Oleksandr Zadorozhnyi, Gunthard Benecke, Stephan Mandt, Tobias Scheffer, Marius Kloft
ECML/PKDD (1), 714-730, 2016
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Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclustering
Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
ECML/PKDD (3), 59-62, 2016
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Coordinate Transformations for Characterization and Cluster Analysis of Spatial Configurations in Football
Gennady L. Andrienko, Natalia V. Andrienko, Guido Budziak, Tatiana von Landesberger, Hendrik Weber
ECML/PKDD (3), 27-31, 2016
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M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model
Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng (Polo) Chau, Minsuk Kahng, U. Kang
ECML/PKDD (2), 623-640, 2016
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BASS: A Bootstrapping Approach for Aligning Heterogenous Social Networks
Xuezhi Cao, Yong Yu
ECML/PKDD (1), 459-475, 2016
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On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent
Bo Han, Ivor W. Tsang, Ling Chen
ECML/PKDD (1), 665-680, 2016
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Semi-supervised Tensor Factorization for Brain Network Analysis
Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow
ECML/PKDD (1), 17-32, 2016
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Interactive Visual Data Exploration with Subjective Feedback
Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie
ECML/PKDD (2), 214-229, 2016
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Collaborative Expert Recommendation for Community-Based Question Answering
Congfu Xu, Xin Wang, Yunhui Guo
ECML/PKDD (1), 378-393, 2016
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TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle
Muhammad Atif Qureshi 0001, Arjumand Younus, Derek Greene
ECML/PKDD (3), 71-75, 2016
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Temporal PageRank
Polina Rozenshtein, Aristides Gionis
ECML/PKDD (2), 674-689, 2016
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Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi, Julie Nutini, Mark W. Schmidt
ECML/PKDD (1), 795-811, 2016
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Detecting Public Influence on News Using Topic-Aware Dynamic Granger Test
Lei Hou, Juan-Zi Li, Xiao-Li Li, Jianbin Jin
ECML/PKDD (2), 331-346, 2016
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Machine Learning Challenges for Single Cell Data
Sofie Van Gassen, Tom Dhaene, Yvan Saeys
ECML/PKDD (3), 275-279, 2016
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Discovering Topically- and Temporally-Coherent Events in Interaction Networks
Han Xiao, Polina Rozenshtein, Aristides Gionis
ECML/PKDD (2), 690-705, 2016
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Consistency of Probabilistic Classifier Trees
Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier
ECML/PKDD (2), 511-526, 2016
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Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks
Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin
ECML/PKDD (1), 476-492, 2016
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M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees
Kijung Shin, Bryan Hooi, Christos Faloutsos
ECML/PKDD (1), 264-280, 2016
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Learning Language Models from Images with ReGLL
Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet
ECML/PKDD (3), 55-58, 2016
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Attribute Conjunction Learning with Recurrent Neural Network
Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen
ECML/PKDD (1), 345-360, 2016
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The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications
Farideh Fazayeli, Arindam Banerjee
ECML/PKDD (1), 648-664, 2016
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Learning to Aggregate Using Uninorms
Vitalik Melnikov, Eyke Hüllermeier
ECML/PKDD (2), 756-771, 2016
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Exploring a Mixed Representation for Encoding Temporal Coherence
Jon Parkinson, Ubai Sandouk, Ke Chen
ECML/PKDD (2), 347-360, 2016
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Trust Hole Identification in Signed Networks
Jiawei Zhang, Qianyi Zhan, Lifang He, Charu C. Aggarwal, Philip S. Yu
ECML/PKDD (1), 697-713, 2016
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Ranking Researchers Through Collaboration Pattern Analysis
Mario Cataldi, Luigi Di Caro, Claudio Schifanella
ECML/PKDD (3), 50-54, 2016
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F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets
Maxime Gasse, Alex Aussem
ECML/PKDD (1), 619-631, 2016
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ECG Monitoring in Wearable Devices by Sparse Models
Diego Carrera, Beatrice Rossi, Daniele Zambon, Pasqualina Fragneto, Giacomo Boracchi
ECML/PKDD (3), 145-160, 2016
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Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation
Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan L. Matthews, David Nielsen, Nikunj C. Oza
ECML/PKDD (3), 209-225, 2016
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Structure Pattern Analysis and Cascade Prediction in Social Networks
Bolei Zhang, Zhuzhong Qian, Sanglu Lu
ECML/PKDD (1), 524-539, 2016
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Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining
Luís Moreira-Matias, João Gama, João Mendes-Moreira
ECML/PKDD (3), 96-111, 2016
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Time and Again: - Time Series Mining via Recurrence Quantification Analysis
Stephan Spiegel, Norbert Marwan
ECML/PKDD (3), 258-262, 2016
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Resource-Aware Steel Production Through Data Mining
Hendrik Blom, Katharina Morik
ECML/PKDD (3), 263-266, 2016
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Multi-Objective Group Discovery on the Social Web
Behrooz Omidvar Tehrani, Sihem Amer-Yahia, Pierre-François Dutot, Denis Trystram
ECML/PKDD (1), 296-312, 2016
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Copula PC Algorithm for Causal Discovery from Mixed Data
Ruifei Cui, Perry Groot, Tom Heskes
ECML/PKDD (2), 377-392, 2016
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Enhancing Traffic Congestion Estimation with Social Media by Coupled Hidden Markov Model
Senzhang Wang, Fengxiang Li, Leon Stenneth, Philip S. Yu
ECML/PKDD (2), 247-264, 2016
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\mathtt OSLα : Online Structure Learning Using Background Knowledge Axiomatization
Evangelos Michelioudakis, Anastasios Skarlatidis, Georgios Paliouras, Alexander Artikis
ECML/PKDD (1), 232-247, 2016
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A Split-Merge DP-means Algorithm to Avoid Local Minima
Shigeyuki Odashima, Miwa Ueki, Naoyuki Sawasaki
ECML/PKDD (2), 63-78, 2016
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Proactive Transfer Learning for Heterogeneous Feature and Label Spaces
Seungwhan Moon, Jaime G. Carbonell
ECML/PKDD (2), 706-721, 2016
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Cancer: Another Algorithm for Subtropical Matrix Factorization
Sanjar Karaev, Pauli Miettinen
ECML/PKDD (2), 576-592, 2016
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Do Street Fairs Boost Local Businesses? A Quasi-Experimental Analysis Using Social Network Data
Ke Zhang, Konstantinos Pelechrinis
ECML/PKDD (3), 161-176, 2016
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Selecting Collaborative Filtering Algorithms Using Metalearning
Tiago Cunha 0001, Carlos Soares, André C. P. L. F. de Carvalho
ECML/PKDD (2), 393-409, 2016
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Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions
Michael Geilke, Andreas Karwath, Stefan Kramer 0001
ECML/PKDD (1), 65-80, 2016
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From Plagiarism Detection to Bible Analysis: The Potential of Machine Learning for Grammar-Based Text Analysis
Michael Tschuggnall, Günther Specht
ECML/PKDD (3), 245-248, 2016
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Stochastic CoSaMP: Randomizing Greedy Pursuit for Sparse Signal Recovery
Dipan K. Pal, Ole J. Mengshoel
ECML/PKDD (1), 761-776, 2016
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Deep Metric Learning with Data Summarization
Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
ECML/PKDD (1), 777-794, 2016
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Modeling Sequential Preferences with Dynamic User and Context Factors
Duc-Trong Le, Yuan Fang, Hady Wirawan Lauw
ECML/PKDD (2), 145-161, 2016
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A Bayesian Network Model for Interesting Itemsets
Jaroslav M. Fowkes, Charles A. Sutton
ECML/PKDD (2), 410-425, 2016
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Incremental Commute Time Using Random Walks and Online Anomaly Detection
Nguyen Lu Dang Khoa, Sanjay Chawla
ECML/PKDD (1), 49-64, 2016
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Asynchronous Feature Extraction for Large-Scale Linear Predictors
Shin Matsushima
ECML/PKDD (1), 604-618, 2016
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Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings
Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
ECML/PKDD (2), 606-622, 2016
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Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series
Ricardo Cachucho, Kaihua Liu, Siegfried Nijssen, Arno J. Knobbe
ECML/PKDD (3), 12-16, 2016
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Joint Learning of Entity Semantics and Relation Pattern for Relation Extraction
Suncong Zheng, Jiaming Xu, Hongyun Bao, Zhenyu Qi, Jie Zhang, Hongwei Hao, Bo Xu
ECML/PKDD (1), 443-458, 2016
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Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection
Tim Leathart, Bernhard Pfahringer, Eibe Frank
ECML/PKDD (2), 179-194, 2016
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Infection Hot Spot Mining from Social Media Trajectories
Roberto C. S. N. P. Souza, Renato M. Assunção, Derick M. de Oliveira, Denise E. F. de Brito, Wagner Meira Jr.
ECML/PKDD (2), 739-755, 2016
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Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns
Carson K. Leung, Christopher L. Carmichael, Yaroslav Hayduk, Fan Jiang, Vadim V. Kononov, Adam G. M. Pazdor
ECML/PKDD (3), 289-293, 2016
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Cost-Aware Early Classification of Time Series
Romain Tavenard, Simon Malinowski
ECML/PKDD (1), 632-647, 2016
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Warped Matrix Factorisation for Multi-view Data Integration
Naruemon Pratanwanich, Pietro Liò, Oliver Stegle
ECML/PKDD (2), 789-804, 2016
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Multi-target Classification: Methodology and Practical Case Studies
Mark Last
ECML/PKDD (3), 280-283, 2016
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A Novel Incremental Covariance-Guided One-Class Support Vector Machine
Takoua Kefi, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
ECML/PKDD (2), 17-32, 2016
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Query Log Mining for Inferring User Tasks and Needs
Rishabh Mehrotra, Emine Yilmaz
ECML/PKDD (3), 284-288, 2016
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A Hybrid Knowledge Discovery Approach for Mining Predictive Biomarkers in Metabolomic Data
Dhouha Grissa, Blandine Comte, Estelle Pujos-Guillot, Amedeo Napoli
ECML/PKDD (1), 572-587, 2016
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Efficient Discovery of Sets of Co-occurring Items in Event Sequences
Boris Cule, Len Feremans, Bart Goethals
ECML/PKDD (1), 361-377, 2016
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Scalable Hyperparameter Optimization with Products of Gaussian Process Experts
Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
ECML/PKDD (1), 33-48, 2016
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