ML Anthology

ECML-PKDD 2016

139 papers

\mathtt OSLα : Online Structure Learning Using Background Knowledge Axiomatization Evangelos Michelioudakis, Anastasios Skarlatidis, Georgios Paliouras, Alexander Artikis
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A Bayesian Network Model for Interesting Itemsets Jaroslav M. Fowkes, Charles Sutton
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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
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A KDD Process for Discrimination Discovery Salvatore Ruggieri, Franco Turini
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A Novel Incremental Covariance-Guided One-Class Support Vector Machine Takoua Kefi, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
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A Split-Merge DP-Means Algorithm to Avoid Local Minima Shigeyuki Odashima, Miwa Ueki, Naoyuki Sawasaki
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A Tool for Subjective and Interactive Visual Data Exploration Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie
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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
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Actively Interacting with Experts: A Probabilistic Logic Approach Phillip Odom, Sriraam Natarajan
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adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs Nitish Shirish Keskar, Albert S. Berahas
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Aggregating Crowdsourced Ordinal Labels via Bayesian Clustering Xiawei Guo, James T. Kwok
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An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming John O. R. Aoga, Tias Guns, Pierre Schaus
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An Online Gibbs Sampler Algorithm for Hierarchical Dirichlet Processes Prior Yongdai Kim, Minwoo Chae, Kuhwan Jeong, Byungyup Kang, Hyoju Chung
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Anti Imitation-Based Policy Learning Michèle Sebag, Riad Akrour, Basile Mayeur, Marc Schoenauer
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Aspect Mining with Rating Bias Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, Bin Wu
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Asynchronous Distributed Incremental Computation on Evolving Graphs Jiangtao Yin, Lixin Gao
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Asynchronous Feature Extraction for Large-Scale Linear Predictors Shin Matsushima
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Attribute Conjunction Learning with Recurrent Neural Network Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen
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AUC-Maximized Deep Convolutional Neural Fields for Protein Sequence Labeling Sheng Wang, Siqi Sun, Jinbo Xu
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Augmented Leverage Score Sampling with Bounds Daniel J. Perry, Ross T. Whitaker
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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
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Ballpark Learning: Estimating Labels from Rough Group Comparisons Tom Hope, Dafna Shahaf
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BASS: A Bootstrapping Approach for Aligning Heterogenous Social Networks Xuezhi Cao, Yong Yu
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Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling Colin Bellinger, Christopher Drummond, Nathalie Japkowicz
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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
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Building Ensembles of Adaptive Nested Dichotomies with Random-Pair Selection Tim Leathart, Bernhard Pfahringer, Eibe Frank
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Cancer: Another Algorithm for Subtropical Matrix Factorization Sanjar Karaev, Pauli Miettinen
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CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers Fábio Pinto, Carlos Soares, João Mendes-Moreira
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Collaborative Expert Recommendation for Community-Based Question Answering Congfu Xu, Xin Wang, Yunhui Guo
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Communication-Efficient Distributed Online Learning with Kernels Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock
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Composite Denoising Autoencoders Krzysztof J. Geras, Charles Sutton
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Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining Luís Moreira-Matias, João Gama, João Mendes-Moreira
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Consistency of Probabilistic Classifier Trees Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier
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Continuous Kernel Learning John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb
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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
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Copula PC Algorithm for Causal Discovery from Mixed Data Ruifei Cui, Perry Groot, Tom Heskes
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Cost-Aware Early Classification of Time Series Romain Tavenard, Simon Malinowski
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Coupled Hierarchical Dirichlet Process Mixtures for Simultaneous Clustering and Topic Modeling Masamichi Shimosaka, Takeshi Tsukiji, Shoji Tominaga, Kota Tsubouchi
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Credible Review Detection with Limited Information Using Consistency Features Subhabrata Mukherjee, Sourav Dutta, Gerhard Weikum
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DANCer: Dynamic Attributed Network with Community Structure Generator Oualid Benyahia, Christine Largeron, Baptiste Jeudy, Osmar R. Zaïane
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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
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Deep Metric Learning with Data Summarization Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
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Detecting Public Influence on News Using Topic-Aware Dynamic Granger Test Lei Hou, Juan-Zi Li, Xiaoli Li, Jianbin Jin
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Differentially Private User Data Perturbation with Multi-Level Privacy Controls Yilin Shen, Rui Chen, Hongxia Jin
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Discovering Topically- and Temporally-Coherent Events in Interaction Networks Han Xiao, Polina Rozenshtein, Aristides Gionis
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Do Street Fairs Boost Local Businesses? a Quasi-Experimental Analysis Using Social Network Data Ke Zhang, Konstantinos Pelechrinis
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ECG Monitoring in Wearable Devices by Sparse Models Diego Carrera, Beatrice Rossi, Daniele Zambon, Pasqualina Fragneto, Giacomo Boracchi
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Efficient Bayesian Maximum Margin Multiple Kernel Learning Changying Du, Changde Du, Guoping Long, Xin Jin, Yucheng Li
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Efficient Discovery of Sets of Co-Occurring Items in Event Sequences Boris Cule, Len Feremans, Bart Goethals
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Efficient Distributed Decision Trees for Robust Regression Tian Guo, Konstantin Kutzkov, Mohamed Ahmed, Jean-Paul Calbimonte, Karl Aberer
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Engine Misfire Detection with Pervasive Mobile Audio Joshua Siegel, Sumeet Kumar, Isaac Ehrenberg, Sanjay E. Sarma
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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
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Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclustering Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
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Exploring a Mixed Representation for Encoding Temporal Coherence Jon Parkinson, Ubai Sandouk, Ke Chen
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F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets Maxime Gasse, Alex Aussem
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Fast Hoeffding Drift Detection Method for Evolving Data Streams Ali Pesaranghader, Herna L. Viktor
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Finding Dynamic Co-Evolving Zones in Spatial-Temporal Time Series Data Yun Cheng, Xiucheng Li, Yan Li
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Finding Incident-Related Social Media Messages for Emergency Awareness Alexander Nieuwenhuijse, Jorn Bakker, Mykola Pechenizkiy
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From Plagiarism Detection to Bible Analysis: The Potential of Machine Learning for Grammar-Based Text Analysis Michael Tschuggnall, Günther Specht
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Functional Bid Landscape Forecasting for Display Advertising Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
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Gaussian Process Pseudo-Likelihood Models for Sequence Labeling P. K. Srijith, P. Balamurugan, Shirish K. Shevade
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GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology Markus Mauder, Yulia Bobkova, Eirini Ntoutsi
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Graph-Margin Based Multi-Label Feature Selection Peng Yan, Yun Li
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Graphical Model Sketch Branislav Kveton, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun
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H(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience Guillaume Bosc, Marc Plantevit, Jean-François Boulicaut, Moustafa Bensafi, Mehdi Kaytoue
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Huber-Norm Regularization for Linear Prediction Models Oleksandr Zadorozhnyi, Gunthard Benecke, Stephan Mandt, Tobias Scheffer, Marius Kloft
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Improving Locality Sensitive Hashing Based Similarity Search and Estimation for Kernels Aniket Chakrabarti, Bortik Bandyopadhyay, Srinivasan Parthasarathy
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Incremental Commute Time Using Random Walks and Online Anomaly Detection Nguyen Lu Dang Khoa, Sanjay Chawla
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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.
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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
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Intelligent Urban Data Monitoring for Smart Cities Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien
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Interactive Learning from Multiple Noisy Labels Shankar Vembu, Sandra Zilles
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Interactive Visual Data Exploration with Subjective Feedback Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie
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Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang
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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
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Laplacian Hamiltonian Monte Carlo Yizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin
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Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
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Learning Distributed Representations of Users for Source Detection in Online Social Networks Simon Bourigault, Sylvain Lamprier, Patrick Gallinari
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Learning Efficiently in Semantic Based Regularization Michelangelo Diligenti, Marco Gori, Vincenzo Scoca
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Learning from Software Project Histories - Predictive Studies Based on Mining Software Repositories Verena Honsel, Steffen Herbold, Jens Grabowski
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Learning Language Models from Images with ReGLL Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet
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Learning to Aggregate Using Uninorms Vitalik Melnikov, Eyke Hüllermeier
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Leveraging Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics Natalia V. Andrienko, Gennady L. Andrienko, Salvatore Rinzivillo
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Linear Bandits in Unknown Environments Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari
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Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi, Julie Nutini, Mark Schmidt
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Link Prediction in Dynamic Networks Using Graphlet Mahmudur Rahman, Mohammad Al Hasan
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Local Exceptionality Detection on Social Interaction Networks Martin Atzmueller
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Local Roots: A Tree-Based Subgoal Discovery Method to Accelerate Reinforcement Learning Alper Demir, Erkin Çilden, Faruk Polat
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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
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M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees Kijung Shin, Bryan Hooi, Christos Faloutsos
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Machine Learning Challenges for Single Cell Data Sofie Van Gassen, Tom Dhaene, Yvan Saeys
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Machine Learning for Crowdsourced Spatial Data Musfira Jilani, Padraig Corcoran, Michela Bertolotto
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Maximizing Time-Decaying Influence in Social Networks Naoto Ohsaka, Yutaro Yamaguchi, Naonori Kakimura, Ken-ichi Kawarabayashi
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Measuring the Stability of Feature Selection Sarah Nogueira, Gavin Brown
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Modeling Sequential Preferences with Dynamic User and Context Factors Duc-Trong Le, Yuan Fang, Hady Wirawan Lauw
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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
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Multi-Objective Group Discovery on the Social Web Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Pierre-François Dutot, Denis Trystram
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Multi-Target Classification: Methodology and Practical Case Studies Mark Last
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Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
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Native Advertisement Selection and Allocation in Social Media Post Feeds Iordanis Koutsopoulos, Panagiotis Spentzouris
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Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao
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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
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On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent Bo Han, Ivor W. Tsang, Ling Chen
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Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions Michael Geilke, Andreas Karwath, Stefan Kramer
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Persistent Roles in Online Social Networks Matt Revelle, Carlotta Domeniconi, Aditya Johri
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Personality-Based User Modeling for Music Recommender Systems Bruce Ferwerda, Markus Schedl
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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
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Practical Bayesian Inverse Reinforcement Learning for Robot Navigation Billy Okal, Kai Oliver Arras
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Proactive Transfer Learning for Heterogeneous Feature and Label Spaces Seungwhan Moon, Jaime G. Carbonell
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PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations Ermal Toto, Elke A. Rundensteiner, Yanhua Li, Richard Jordan, Mariya Ishutkina, Kajal T. Claypool, Jun Luo, Fan Zhang
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Pure Exploration for Max-Quantile Bandits Yahel David, Nahum Shimkin
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Query Log Mining for Inferring User Tasks and Needs Rishabh Mehrotra, Emine Yilmaz
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Ranking Researchers Through Collaboration Pattern Analysis Mario Cataldi, Luigi Di Caro, Claudio Schifanella
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Resource-Aware Steel Production Through Data Mining Hendrik Blom, Katharina Morik
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Robust Dictionary Learning on the Hilbert Sphere in Kernel Feature Space Suyash P. Awate, Nishanth N. Koushik
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Robust Principal Component Analysis by Reverse Iterative Linear Programming Andrea Visentin, Steven D. Prestwich, S. Armagan Tarim
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Scalable Hyperparameter Optimization with Products of Gaussian Process Experts Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
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Selecting Collaborative Filtering Algorithms Using Metalearning Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
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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
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Semigeometric Tiling of Event Sequences Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki
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Sequential Data Classification in the Space of Liquid State Machines Yang Li, Junyuan Hong, Huanhuan Chen
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Sequential Labeling with Online Deep Learning: Exploring Model Initialization Gang Chen, Ran Xu, Sargur N. Srihari
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SITS-P2miner: Pattern-Based Mining of Satellite Image Time Series Tuan Nguyen, Nicolas Méger, Christophe Rigotti, Catherine Pothier, Rémi Andreoli
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Stochastic CoSaMP: Randomizing Greedy Pursuit for Sparse Signal Recovery Dipan K. Pal, Ole J. Mengshoel
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Structure Pattern Analysis and Cascade Prediction in Social Networks Bolei Zhang, Zhuzhong Qian, Sanglu Lu
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Subgroup Discovery with Proper Scoring Rules Hao Song, Meelis Kull, Peter A. Flach, Georgios Kalogridis
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Temporal PageRank Polina Rozenshtein, Aristides Gionis
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The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications Farideh Fazayeli, Arindam Banerjee
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The SPMF Open-Source Data Mining Library Version 2 Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhi-Hong Deng, Hoang Thanh Lam
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Time and Again: - Time Series Mining via Recurrence Quantification Analysis Stephan Spiegel, Norbert Marwan
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Top-N Recommendation via Joint Cross-Domain User Clustering and Similarity Learning Dimitrios Rafailidis, Fabio Crestani
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Topy: Real-Time Story Tracking via Social Tags Gevorg Poghosyan, Muhammad Atif Qureshi, Georgiana Ifrim
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Transactional Tree Mining Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
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Trust Hole Identification in Signed Networks Jiawei Zhang, Qianyi Zhan, Lifang He, Charu C. Aggarwal, Philip S. Yu
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TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle Muhammad Atif Qureshi, Arjumand Younus, Derek Greene
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Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
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Uncovering Locally Discriminative Structure for Feature Analysis Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao
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Using Social Media to Promote STEM Education: Matching College Students with Role Models Ling He, Lee Murphy, Jiebo Luo
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Warped Matrix Factorisation for Multi-View Data Integration Naruemon Pratanwanich, Pietro Liò, Oliver Stegle
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