Table of Contents

• Concentration Free Outlier DetectionFabrizio Angiulli. 3-19 [doi]
• Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly DetectionJordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton. 20-35 [doi]
• Robust, Deep and Inductive Anomaly DetectionRaghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla. 36-51 [doi]
• Sentiment Informed Cyberbullying Detection in Social MediaHarsh Dani, Jundong Li, Huan Liu. 52-67 [doi]
• zooRank: Ranking Suspicious Entities in Time-Evolving TensorsHemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer. 68-84 [doi]
• Alternative Semantic Representations for Zero-Shot Human Action RecognitionQian Wang, Ke Chen. 87-102 [doi]
• Early Active Learning with Pairwise Constraint for Person Re-identificationWenhe Liu, Xiaojun Chang, Ling Chen 0001, Yi Yang. 103-118 [doi]
• Guiding InfoGAN with Semi-supervisionAdrian Spurr, Emre Aksan, Otmar Hilliges. 119-134 [doi]
• Scatteract: Automated Extraction of Data from Scatter PlotsMathieu Cliche, David Rosenberg, Dhruv Madeka, Connie Yee. 135-150 [doi]
• Unsupervised Diverse Colorization via Generative Adversarial NetworksYun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu. 151-166 [doi]
• Dynamic Ensemble Selection with Probabilistic Classifier ChainsAnil Narassiguin, Haytham Elghazel, Alex Aussem. 169-186 [doi]
• Ensemble-Compression: A New Method for Parallel Training of Deep Neural NetworksShizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu. 187-202 [doi]
• Fast and Accurate Density Estimation with Extremely Randomized Cutset NetworksNicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile, Floriana Esposito. 203-219 [doi]
• Deep Discrete Hashing with Self-supervised Pairwise LabelsJingkuan Song, Tao He, Hangbo Fan, Lianli Gao. 223-238 [doi]
• Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed DatasetsArvind Kumar Shekar, Tom Bocklisch, Patricia Iglesias Sánchez, Christoph Nikolas Straehle, Emmanuel Müller. 239-255 [doi]
• Non-redundant Spectral Dimensionality ReductionYochai Blau, Tomer Michaeli. 256-271 [doi]
• Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-LinksXiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu. 272-287 [doi]
• SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank EnsembleJiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han 0001. 288-304 [doi]
• Bayesian Nonlinear Support Vector Machines for Big DataFlorian Wenzel, Théo Galy-Fajou, Matthäus Deutsch, Marius Kloft. 307-322 [doi]
• Entropic Trace Estimates for Log DeterminantsJack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts. 323-338 [doi]
• Fair Kernel LearningAdrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls. 339-355 [doi]
• GaKCo: A Fast Gapped k-mer String Kernel Using CountingRitambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi. 356-373 [doi]
• Graph Enhanced Memory Networks for Sentiment AnalysisZhao Xu, Romain Vial, Kristian Kersting. 374-389 [doi]
• Kernel Sequential Monte CarloIngmar Schuster, Heiko Strathmann, Brooks Paige, Dino Sejdinovic. 390-409 [doi]
• Learning Łukasiewicz Logic Fragments by Quadratic ProgrammingFrancesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini. 410-426 [doi]
• Nyström SketchesDaniel J. Perry, Braxton Osting, Ross T. Whitaker. 427-442 [doi]
• Crossprop: Learning Representations by Stochastic Meta-Gradient Descent in Neural NetworksVivek Veeriah, Shangtong Zhang, Richard S. Sutton. 445-459 [doi]
• Distributed Stochastic Optimization of Regularized Risk via Saddle-Point ProblemShin Matsushima, Hyokun Yun, Xinhua Zhang, S. V. N. Vishwanathan. 460-476 [doi]
• Speeding up Hyper-parameter Optimization by Extrapolation of Learning Curves Using Previous BuildsAkshay Chandrashekaran, Ian R. Lane. 477-492 [doi]
• Thompson Sampling for Optimizing Stochastic Local SearchTong Yu, Branislav Kveton, Ole J. Mengshoel. 493-510 [doi]
• Comparative Study of Inference Methods for Bayesian Nonnegative Matrix FactorisationThomas Brouwer, Jes Frellsen, Pietro Liò. 513-529 [doi]
• Content-Based Social Recommendation with Poisson Matrix FactorizationEliezer de Souza da Silva, Helge Langseth, Heri Ramampiaro. 530-546 [doi]
• C-SALT: Mining Class-Specific ALTerations in Boolean Matrix FactorizationSibylle Hess, Katharina Morik. 547-563 [doi]
• Feature Extraction for Incomplete Data via Low-rank Tucker DecompositionQiquan Shi, Yiu-ming Cheung, Qibin Zhao. 564-581 [doi]
• Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern DiscoveriesKoh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata. 582-598 [doi]
• Attributed Graph Clustering with Unimodal Normalized CutWei Ye, Linfei Zhou, Xin Sun 0007, Claudia Plant, Christian Böhm. 601-616 [doi]
• K-Clique-Graphs for Dense Subgraph DiscoveryGiannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis. 617-633 [doi]
• Learning and Scaling Directed Networks via Graph EmbeddingMikhail Drobyshevskiy, Anton Korshunov, Denis Turdakov. 634-650 [doi]
• Local Lanczos Spectral Approximation for Community DetectionPan Shi, Kun He, David Bindel, John E. Hopcroft. 651-667 [doi]
• Regularizing Knowledge Graph Embeddings via Equivalence and Inversion AxiomsPasquale Minervini, Luca Costabello, Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche. 668-683 [doi]
• Survival Factorization on Diffusion NetworksNicola Barbieri, Giuseppe Manco, Ettore Ritacco. 684-700 [doi]
• The Network-Untangling Problem: From Interactions to Activity TimelinesPolina Rozenshtein, Nikolaj Tatti, Aristides Gionis. 701-716 [doi]
• TransT: Type-Based Multiple Embedding Representations for Knowledge Graph CompletionShiheng Ma, Jianhui Ding, Weijia Jia, Kun Wang, Minyi Guo. 717-733 [doi]
• A Network Architecture for Multi-Multi-Instance LearningAlessandro Tibo, Paolo Frasconi, Manfred Jaeger. 737-752 [doi]
• Con-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2VecTanay Kumar Saha, Shafiq R. Joty, Mohammad Al Hasan. 753-769 [doi]
• Deep Over-sampling Framework for Classifying Imbalanced DataShin Ando, Chun-Yuan Huang. 770-785 [doi]
• FCNN: Fourier Convolutional Neural NetworksHarry Pratt, Bryan M. Williams, Frans Coenen, Yalin Zheng. 786-798 [doi]
• Joint User Modeling Across Aligned Heterogeneous Sites Using Neural NetworksXuezhi Cao, Yong Yu. 799-815 [doi]
• Sequence Generation with Target AttentionYingce Xia, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu. 816-831 [doi]
• Wikipedia Vandal Early Detection: From User Behavior to User EmbeddingShuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang. 832-846 [doi]