ECML-PKDD 2015

132 papers

A Kernel-Learning Approach to Semi-Supervised Clustering with Relative Distance Comparisons Ehsan Amid, Aristides Gionis, Antti Ukkonen

A Practical Approach to Reduce the Learning Bias Under Covariate Shift Van-Tinh Tran, Alex Aussem

Adaptive Stochastic Primal-Dual Coordinate Descent for Separable Saddle Point Problems Zhanxing Zhu, Amos J. Storkey

Ageing-Based Multinomial Naive Bayes Classifiers over Opinionated Data Streams Sebastian Wagner, Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou

Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning Markets Amos J. Storkey, Zhanxing Zhu, Jinli Hu

An Empirical Investigation of Minimum Probability Flow Learning Under Different Connectivity Patterns Daniel Jiwoong Im, Ethan Buchman, Graham W. Taylor

Autonomous HVAC Control, a Reinforcement Learning Approach Enda Barrett, Stephen Linder

Bayesian Active Clustering with Pairwise Constraints Yuanli Pei, Li-Ping Liu, Xiaoli Z. Fern

Bayesian Hypothesis Testing in Machine Learning Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon

Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics Tom Diethe, Niall Twomey, Peter A. Flach

BoostMF: Boosted Matrix Factorisation for Collaborative Ranking Nipa Chowdhury, Xiongcai Cai, Cheng Luo

CardioWheel: ECG Biometrics on the Steering Wheel André Lourenço, Ana Priscila Alves, Carlos Carreiras, Rui Policarpo Duarte, Ana L. N. Fred

Clustering by Intent: A Semi-Supervised Method to Discover Relevant Clusters Incrementally George Forman, Hila Nachlieli, Renato Keshet

Concurrent Inference of Topic Models and Distributed Vector Representations Debakar Shamanta, Sheikh Motahar Naim, Parang Saraf, Naren Ramakrishnan, Mahmud Shahriar Hossain

ConDist: A Context-Driven Categorical Distance Measure Markus Ring, Florian Otto, Martin Becker, Thomas Niebler, Dieter Landes, Andreas Hotho

Convex Factorization Machines Mathieu Blondel, Akinori Fujino, Naonori Ueda

Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi

Data Patterns Explained with Linked Data Ilaria Tiddi, Mathieu d'Aquin, Enrico Motta

Data Split Strategiesfor Evolving Predictive Models Vikas C. Raykar, Amrita Saha

Data-Driven Exploration of Real-Time Geospatial Text Streams Harald Bosch, Robert Krüger, Dennis Thom

Difference Target Propagation Dong-Hyun Lee, Saizheng Zhang, Asja Fischer, Yoshua Bengio

Differentially Private Analysis of Outliers Rina Okada, Kazuto Fukuchi, Jun Sakuma

Discovering Audience Groups and Group-Specific Influencers Shuyang Lin, Qingbo Hu, Jingyuan Zhang, Philip S. Yu

Discovering Neutrinos Through Data Analytics Mathis Börner, Wolfgang Rhode, Tim Ruhe, Katharina Morik

Discovering Opinion Spammer Groups by Network Footprints Junting Ye, Leman Akoglu

Discriminative Interpolation for Classification of Functional Data Rana Haber, Anand Rangarajan, Adrian M. Peter

Drift Detection Using Stream Volatility David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet

Dyad Ranking Using a Bilinear Plackett-Luce Model Dirk Schäfer, Eyke Hüllermeier

Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols

Early Detection of Fraud Storms in the Cloud Hani Neuvirth, Yehuda Finkelstein, Amit Hilbuch, Shai Nahum, Daniel Alon, Elad Yom-Tov

Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin

Exact Hybrid Covariance Thresholding for Joint Graphical Lasso Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu

Fast Generation of Best Interval Patterns for Nonmonotonic Constraints Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli

Fast Inbound Top-K Query for Random Walk with Restart Chao Zhang, Shan Jiang, Yucheng Chen, Yidan Sun, Jiawei Han

Fast Label Embeddings via Randomized Linear Algebra Paul Mineiro, Nikos Karampatziakis

Fast Training of Support Vector Machines for Survival Analysis Sebastian Pölsterl, Nassir Navab, Amin Katouzian

Finding Community Topics and Membership in Graphs Matt Revelle, Carlotta Domeniconi, Mack Sweeney, Aditya Johri

Finding Dense Subgraphs in Relational Graphs Vinay Jethava, Niko Beerenwinkel

Flexible Sliding Windows for Kernel Regression Based Bus Arrival Time Prediction Hoang Thanh Lam, Eric Bouillet

Gamma Process Poisson Factorization for Joint Modeling of Network and Documents Ayan Acharya, Dean Teffer, Jette Henderson, Marcus Tyler, Mingyuan Zhou, Joydeep Ghosh

Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams Pierre Houdyer, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, Céline Robardet

Generalization in Unsupervised Learning Karim T. Abou-Moustafa, Dale Schuurmans

Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks Pauli Miettinen

Generalized Modularity for Community Detection Mohadeseh Ganji, Abbas Seifi, Hosein Alizadeh, James Bailey, Peter J. Stuckey

Handling Oversampling in Dynamic Networks Using Link Prediction Benjamin Fish, Rajmonda Sulo Caceres

Hash Function Learning via Codewords Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos

HiDER: Query-Driven Entity Resolution for Historical Data Bijan Ranjbar Sahraei, Julia Efremova, Hossein Rahmani, Toon Calders, Karl Tuyls, Gerhard Weiss

Hierarchical Sparse Dictionary Learning Xiao Bian, Xia Ning, Geoff Jiang

HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning Anveshi Charuvaka, Huzefa Rangwala

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

Hyperparameter Optimization with Factorized Multilayer Perceptrons Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme

Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

IICE: Web Tool for Automatic Identification of Chemical Entities and Interactions Andre Lamurias, Luka A. Clarke, Francisco M. Couto

Inferring Unusual Crowd Events from Mobile Phone Call Detail Records Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas, Zubair Nabi, Francesco Calabrese, Nitesh V. Chawla

Interactively Exploring Supply and Demand in the UK Independent Music Scene Matt McVicar, Cédric Mesnage, Jefrey Lijffijt, Tijl De Bie

Ising Bandits with Side Information Shaona Ghosh, Adam Prügel-Bennett

Joint Semi-Supervised Similarity Learning for Linear Classification Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban

Large Scale Optimization with Proximal Stochastic Newton-Type Gradient Descent Ziqiang Shi, Rujie Liu

Latent Factors Meet Homophily in Diffusion Modelling Duc Minh Luu, Ee-Peng Lim

Learning Compact and Effective Distance Metrics with Diversity Regularization Pengtao Xie

Learning Detector of Malicious Network Traffic from Weak Labels Vojtech Franc, Michal Sofka, Karel Bartos

Learning Pretopological Spaces for Lexical Taxonomy Acquisition Guillaume Cleuziou, Gaël Dias

Listener-Aware Music Recommendation from Sensor and Social Media Data Markus Schedl

Logic-Based Incremental Process Mining Stefano Ferilli, Domenico Redavid, Floriana Esposito

Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks Rohit Kumar, Toon Calders, Aristides Gionis, Nikolaj Tatti

Markov Blanket Discovery in Positive-Unlabelled and Semi-Supervised Data Konstantinos Sechidis, Gavin Brown

Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation Wojciech Marian Czarnecki, Rafal Józefowicz, Jacek Tabor

Message Scheduling Methods for Belief Propagation Christian Knoll, Michael Rath, Sebastian Tschiatschek, Franz Pernkopf

Mobility Mining for Journey Planning in Rome Michele Berlingerio, Veli Bicer, Adi Botea, Stefano Braghin, Nuno Lopes, Riccardo Guidotti, Francesca Pratesi

Monitoring Production Equipment in Remote Locations Ujval Kamath, Ana Costa e Silva, Michael O'Connell

Multi-Task Learning with Group-Specific Feature Space Sharing Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Multi-View Semantic Learning for Data Representation Peng Luo, Jinye Peng, Ziyu Guan, Jianping Fan

Multidimensional Prediction Models When the Resolution Context Changes Adolfo Martínez Usó, José Hernández-Orallo

MultiNets: Web-Based Multilayer Network Visualization Matija Piskorec, Borut Sluban, Tomislav Smuc

Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with L2, 1 Regularization Weixiang Shao, Lifang He, Philip S. Yu

Non-Parametric Jensen-Shannon Divergence Hoang Vu Nguyen, Jilles Vreeken

Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration Meelis Kull, Peter A. Flach

OMEGA: An Order-Preserving SubMatrix Mining, Indexing and Search Tool Tao Jiang, Zhanhuai Li, Qun Chen, Zhong Wang, Kai-Wen Li, Wei Pan

Online Analysis of High-Volume Data Streams in Astroparticle Physics Christian Bockermann, Kai Brügge, Jens Buß, Alexey Egorov, Katharina Morik, Wolfgang Rhode, Tim Ruhe

Online Learning of Deep Hybrid Architectures for Semi-Supervised Categorization Alexander G. Ororbia Ii, David Reitter, Jian Wu, C. Lee Giles

Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms Marina M.-C. Vidovic, Nico Görnitz, Klaus-Robert Müller, Gunnar Rätsch, Marius Kloft

Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs David Tolpin, Jan-Willem van de Meent, Brooks Paige, Frank D. Wood

Parameter Learning of Bayesian Network Classifiers Under Computational Constraints Sebastian Tschiatschek, Franz Pernkopf

Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing Mehdi Kaytoue, Víctor Codocedo, Aleksey Buzmakov, Jaume Baixeries, Sergei O. Kuznetsov, Amedeo Napoli

Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming Davide Nitti, Vaishak Belle, Luc De Raedt

Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-Label Learning Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz

Privacy Preserving Blocking and Meta-Blocking Alexandros Karakasidis, Georgia Koloniari, Vassilios S. Verykios

Probabilistic Programming in Anglican David Tolpin, Jan-Willem van de Meent, Frank D. Wood

ProbLog2: Probabilistic Logic Programming Anton Dries, Angelika Kimmig, Wannes Meert, Joris Renkens, Guy Van den Broeck, Jonas Vlasselaer, Luc De Raedt

Real Time Detection and Tracking of Spatial Event Clusters Natalia V. Andrienko, Gennady L. Andrienko, Georg Fuchs, Salvatore Rinzivillo, Hans-Dieter Betz

Refined Algorithms for Infinitely Many-Armed Bandits with Deterministic Rewards Yahel David, Nahum Shimkin

Regression with Linear Factored Functions Wendelin Böhmer, Klaus Obermayer

Response-Guided Community Detection: Application to Climate Index Discovery Gonzalo A. Bello, Michael P. Angus, Navya Pedemane, Jitendra K. Harlalka, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova

Ridge Regression, Hubness, and Zero-Shot Learning Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

Robust Classification of Information Networks by Consistent Graph Learning Shi Zhi, Jiawei Han, Quanquan Gu

Robust Representation for Domain Adaptation in Network Security Karel Bartos, Michal Sofka

S&P360: Multidimensional Perspective on Companies from Online Data Sources Michele Berlingerio, Stefano Braghin, Francesco Calabrese, Cody Dunne, Yiannis Gkoufas, Mauro Martino, Jamie C. Rasmussen, Steven I. Ross

Safe Exploration for Active Learning with Gaussian Processes Jens Schreiter, Duy Nguyen-Tuong, Mona Eberts, Bastian Bischoff, Heiner Markert, Marc Toussaint

Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin

Scalable Metric Learning for Co-Embedding Farzaneh Mirzazadeh, Martha White, András György, Dale Schuurmans

Scavenger - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms Andrey Tyukin, Stefan Kramer, Jörg Wicker

Scoring and Classifying with Gated Auto-Encoders Daniel Jiwoong Im, Graham W. Taylor

Semi-Supervised Consensus Clustering for ECG Pathology Classification Helena Aidos, André Lourenço, Diana Batista, Samuel Rota Bulò, Ana L. N. Fred

Semi-Supervised Subspace Co-Projection for Multi-Class Heterogeneous Domain Adaptation Min Xiao, Yuhong Guo

Sign Constrained Rectifier Networks with Applications to Pattern Decompositions Senjian An, Qiuhong Ke, Mohammed Bennamoun, Farid Boussaïd, Ferdous Ahmed Sohel

Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning Antonio Vergari, Nicola Di Mauro, Floriana Esposito

Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform Qian Zhang, Corrado Gioannini, Daniela Paolotti, Nicola Perra, Daniela Perrotta, Marco Quaggiotto, Michele Tizzoni, Alessandro Vespignani

Solving a Hard Cutting Stock Problem by Machine Learning and Optimisation Steven D. Prestwich, Adejuyigbe O. Fajemisin, Laura Climent, Barry O'Sullivan

Solving Prediction Games with Parallel Batch Gradient Descent Michael Großhans, Tobias Scheffer

Sparse Bayesian Recurrent Neural Networks Sotirios P. Chatzis

Star Classification Under Data Variability: An Emerging Challenge in Astroinformatics Ricardo Vilalta, Kinjal Dhar Gupta, Ashish Mahabal

Structured Prediction of Sequences and Trees Using Infinite Contexts Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson

Structured Regularizer for Neural Higher-Order Sequence Models Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf

Superset Learning Based on Generalized Loss Minimization Eyke Hüllermeier, Weiwei Cheng

Swap Randomization of Bases of Sequences for Mining Satellite Image Times Series Nicolas Méger, Christophe Rigotti, Catherine Pothier

Temporally Coherent Role-Topic Models (TCRTM): Deinterlacing Overlapping Activity Patterns Evgeniy Bart, Bob Price, John Hanley

The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty Eric Malmi, Arno Solin, Aristides Gionis

The Difference and the Norm - Characterising Similarities and Differences Between Databases Kailash Budhathoki, Jilles Vreeken

The Evolution of Social Relationships and Strategies Across the Lifespan Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang

Towards Computation of Novel Ideas from Corpora of Scientific Text Haixia Liu, James Goulding, Tim J. Brailsford

Two Step Graph-Based Semi-Supervised Learning for Online Auction Fraud Detection Phiradet Bangcharoensap, Hayato Kobayashi, Nobuyuki Shimizu, Satoshi Yamauchi, Tsuyoshi Murata

Understanding Where Your Classifier Does (Not) Work Wouter Duivesteijn, Julia Thaele

Unsupervised Feature Analysis with Class Margin Optimization Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng

UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN Roland Assam, Simon Feiden, Thomas Seidl

Versatile Decision Trees for Learning over Multiple Contexts Reem Al-Otaibi, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach

VIPER - Visual Pattern Explorer Matthijs van Leeuwen, Lara Cardinaels

Visual Analytics Methodology for Scalable and Privacy-Respectful Discovery of Place Semantics from Episodic Mobility Data Natalia V. Andrienko, Gennady L. Andrienko, Georg Fuchs, Piotr Jankowski

Visualization Support to Interactive Cluster Analysis Gennady L. Andrienko, Natalia V. Andrienko

Watch-It-Next: A Contextual TV Recommendation System Michal Aharon, Eshcar Hillel, Amit Kagian, Ronny Lempel, Hayim Makabee, Raz Nissim

Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations Sascha Henzgen, Eyke Hüllermeier

When Is Undersampling Effective in Unbalanced Classification Tasks? Andrea Dal Pozzolo, Olivier Caelen, Gianluca Bontempi

Will This Paper Increase Your H-Index? Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla