Table of Contents

• Spiking Convolutional Deep Belief NetworksJacques Kaiser, David Zimmerer, Juan Camilo Vasquez Tieck, Stefan Ulbrich, Arne Rönnau, Rüdiger Dillmann. 3-11 [doi]
• Convolutional Neural Network for Pixel-Wise Skyline DetectionDarian Frajberg, Piero Fraternali, Rocio Nahime Torres. 12-20 [doi]
• 1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic ImplementationPartha Maji, Robert Mullins. 21-29 [doi]
• Shortcut Convolutional Neural Networks for Classification of Gender and TextureTing Zhang, Yujian Li, Zhaoying Liu. 30-39 [doi]
• Word Embedding Dropout and Variable-Length Convolution Window in Convolutional Neural Network for Sentiment ClassificationShangdi Sun, Xiaodong Gu. 40-48 [doi]
• Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy RegularizerBingzhe Wu, Zhichao Liu, Zhihang Yuan, Guangyu Sun, Charles Wu. 49-55 [doi]
• An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and SegmentationQi Wang, Jungang Xu, Ben He, Zhengcai Qin. 56-63 [doi]
• Parallel Implementation of a Bug Report Assignment Recommender Using Deep LearningAdrian-Catalin Florea, John Anvik, Razvan Andonie. 64-71 [doi]
• A Deep Learning Approach to Detect Distracted Drivers Using a Mobile PhoneRenato Torres, Orlando Ohashi, Eduardo Carvalho, Gustavo Pessin. 72-79 [doi]
• A Multi-level Weighted Representation for Person Re-identificationXianglai Meng, Biao Leng, Guanglu Song. 80-88 [doi]
• DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural NetworksIshai Rosenberg, Guillaume Sicard, Eli (Omid) David. 91-99 [doi]
• Estimation of the Change of Agents Behavior Strategy Using State-Action HistoryShihori Uchida, Shigeyuki Oba, Shin Ishii. 100-107 [doi]
• Generalising the Discriminative Restricted Boltzmann MachinesSrikanth Cherla, Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde. 111-119 [doi]
• Extracting M of N Rules from Restricted Boltzmann MachinesSimon Odense, Artur S. d'Avila Garcez. 120-127 [doi]
• Generalized Entropy Cost Function in Neural NetworksKrzysztof Gajowniczek, Leszek J. Chmielewski, Arkadiusz Orlowski, Tomasz Zabkowski. 128-136 [doi]
• Learning from Noisy Label DistributionsYuya Yoshikawa. 137-145 [doi]
• Phase Transition Structure of Variational Bayesian Nonnegative Matrix FactorizationMasahiro Kohjima, Sumio Watanabe. 146-154 [doi]
• Link Enrichment for Diffusion-Based Graph Node KernelsDinh Tran-Van, Alessandro Sperduti, Fabrizio Costa. 155-162 [doi]
• Classless Association Using Neural NetworksFederico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki. 165-173 [doi]
• Shape from Shading by Model Inclusive Learning Method with Simultaneous Estimation of ParametersYasuaki Kuroe, Hajimu Kawakami. 174-182 [doi]
• Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel LearningIvano Lauriola, Mirko Polato, Fabio Aiolli. 183-191 [doi]
• Learning a Compositional Hierarchy of Disparity Descriptors for 3D Orientation Estimation in an Active Fixation SettingKaterina Kalou, Agostino Gibaldi, Andrea Canessa, Silvio P. Sabatini. 192-199 [doi]
• A Priori Reliability Prediction with Meta-Learning Based on Context InformationJennifer Kreger, Lydia Fischer, Stephan Hasler, Thomas H. Weisswange, Ute Bauer-Wersing. 200-207 [doi]
• Attention Aware Semi-supervised Framework for Sentiment AnalysisJingshuang Liu, Wenge Rong, Chuan Tian, Min Gao, Zhang Xiong. 208-215 [doi]
• Chinese Lexical Normalization Based on Information Extraction: An Experimental StudyTian Tian, Weiran Xu. 216-223 [doi]
• Analysing Event Transitions to Discover Student Roles and Predict Grades in MOOCsÁngel Pérez-Lemonche, Gonzalo Martínez-Muñoz, Estrella Pulido-Cañabate. 224-232 [doi]
• Applying Artificial Neural Networks on Two-Layer Semantic Trajectories for Predicting the Next Semantic LocationAntonios Karatzoglou, Harun Sentürk, Adrian Jablonski, Michael Beigl. 233-241 [doi]
• Model-Aware Representation Learning for Categorical Data with Hierarchical CouplingsJianglong Song, Chengzhang Zhu, Wentao Zhao, Wenjie Liu, Qiang Liu. 242-249 [doi]
• Perceptron-Based Ensembles and Binary Decision Trees for Malware DetectionCristina Vatamanu, Doina Cosovan, Dragos Gavrilut, Henri Luchian. 250-259 [doi]
• Multi-column Deep Neural Network for Offline Arabic Handwriting RecognitionRolla Almodfer, Shengwu Xiong, Mohammed Mudhsh, Pengfei Duan. 260-267 [doi]
• Using LSTMs to Model the Java Programming LanguageBrendon Boldt. 268-275 [doi]
• Classification of Categorical Data in the Feature Space of Monotone DNFsMirko Polato, Ivano Lauriola, Fabio Aiolli. 279-286 [doi]
• DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional AutoencodersIdo Cohen, Eli (Omid) David, Nathan S. Netanyahu, Noa Liscovitch, Gal Chechik. 287-296 [doi]
• Mental Workload Classification Based on Semi-Supervised Extreme Learning MachineJianrong Li, Jianhua Zhang. 297-304 [doi]
• View-Weighted Multi-view K-means ClusteringHong Yu, Yahong Lian, Shu Li, Jiaxin Chen. 305-312 [doi]
• Indefinite Support Vector RegressionFrank-Michael Schleif. 313-321 [doi]
• Instance-Adaptive Attention Mechanism for Relation ClassificationYao Lu, Chunyun Zhang, Weiran Xu. 322-330 [doi]
• ReForeSt: Random Forests in Apache SparkAlessandro Lulli, Luca Oneto, Davide Anguita. 331-339 [doi]
• Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix FactorizationGuangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu. 340-348 [doi]
• Masked Conditional Neural Networks for Audio ClassificationFady Medhat, David Chesmore, John Robinson. 349-358 [doi]
• A Feature Selection Approach Based on Information Theory for Classification TasksJhoseph Jesus, Anne Canuto, Daniel Araújo. 359-367 [doi]
• Two-Level Neural Network for Multi-label Document ClassificationLadislav Lenc, Pavel Král. 368-375 [doi]
• Ontology Alignment with Weightless Neural NetworksThais Viana, Carla Delgado, João C. P. da Silva, Priscila Lima. 376-384 [doi]
• Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance PredictionLuca Oneto, Andrea Coraddu, Paolo Sanetti, Olena Karpenko, Francesca Cipollini, Toine Cleophas, Davide Anguita. 385-393 [doi]
• Combining Character-Level Representation for Relation ClassificationDongyun Liang, Weiran Xu, Yinge Zhao. 394-401 [doi]
• On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory VariablesRicardo A. M. da Silva, Francisco de A. T. de Carvalho. 402-410 [doi]
• PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease DataRamalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Ramesh Dharavath. 411-419 [doi]
• Modularity-Driven Kernel k-means for Community DetectionFelix Sommer, François Fouss, Marco Saerens. 423-433 [doi]
• Measuring Clustering Model ComplexityStefano Rovetta, Francesco Masulli, Alberto Cabri. 434-441 [doi]
• GNMF Revisited: Joint Robust k-NN Graph and Reconstruction-Based Graph Regularization for Image ClusteringFeng Gu, Wenju Zhang, Xiang Zhang, Chenxu Wang, Xuhui Huang, Zhigang Luo. 442-449 [doi]
• Two Staged Fuzzy SVM Algorithm and Beta-Elliptic Model for Online Arabic Handwriting RecognitionRamzi Zouari, Houcine Boubaker, Monji Kherallah. 450-458 [doi]
• Evaluating the Compression Efficiency of the Filters in Convolutional Neural NetworksKazuki Osawa, Rio Yokota. 459-466 [doi]
• Dynamic Feature Selection Based on Clustering Algorithm and Individual SimilarityCarine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João C. Xavier Junior. 467-474 [doi]
• Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming UtteranceChandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter. 477-485 [doi]
• Solar Power Forecasting Using Pattern SequencesZheng Wang, Irena Koprinska, Mashud Rana. 486-494 [doi]
• A New Methodology to Exploit Predictive Power in (Open, High, Low, Close) DataAndrew D. Mann, Denise Gorse. 495-502 [doi]
• Recurrent Dynamical Projection for Time Series-Based Fraud DetectionEric A. Antonelo, Radu State. 503-511 [doi]
• Transfer Information Energy: A Quantitative Causality Indicator Between Time SeriesAngel Cataron, Razvan Andonie. 512-519 [doi]
• Improving Our Understanding of the Behavior of Bees Through Anomaly Detection TechniquesFernando Gama, Helder M. Arruda, Hanna V. Carvalho, Paulo de Souza, Gustavo Pessin. 520-527 [doi]
• Applying Bidirectional Long Short-Term Memories (BLSTM) to Performance Data in Air Traffic Management for System IdentificationStefan Reitmann, Karl Nachtigall. 528-536 [doi]
• A Novel Image Tag Completion Method Based on Convolutional Neural TransformationYanyan Geng, Guohui Zhang, Weizhi Li, Yi Gu, Ru-Ze Liang, Gaoyuan Liang, Jingbin Wang, Yanbin Wu, Nitin Patil, Jing-Yan Wang. 539-546 [doi]
• Reducing Unknown Unknowns with Guidance in Image CaptionMengjun Ni, Jing Yang, Xin Lin, Liang He. 547-555 [doi]
• A Novel Method for Ship Detection and Classification on Remote Sensing ImagesYing Liu, Hongyuan Cui, Guoqing Li. 556-564 [doi]
• Single Image Super-Resolution by Learned Double Sparsity Dictionaries Combining Bootstrapping MethodNa Ai, Jinye Peng, Jun Wang, Lin Wang, Jin Qi. 565-573 [doi]
• Attention Focused Spatial Pyramid Pooling for Boxless Action Recognition in Still ImagesWeijiang Feng, Xiang Zhang, Xuhui Huang, Zhigang Luo. 574-581 [doi]
• The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural NetworksMiguel D. de S. Wanderley, Leonardo de A. e Bueno, Cleber Zanchettin, Adriano L. I. Oliveira. 582-589 [doi]
• Real-Time Face Detection Using Artificial Neural NetworksPablo S. Aulestia, Jonathan S. Talahua, Víctor H. Andaluz, Marco E. Benalcázar. 590-599 [doi]
• On the Performance of Classic and Deep Neural Models in Image RecognitionRicardo García-Ródenas, Luis Jimenez Linares, Julio Alberto López-Gómez. 600-608 [doi]
• Winograd Algorithm for 3D Convolution Neural NetworksZelong Wang, Qiang Lan, Hongjun He, Chunyuan Zhang. 609-616 [doi]
• Core Sampling Framework for Pixel ClassificationManohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay. 617-625 [doi]
• Biomedical Data Augmentation Using Generative Adversarial Neural NetworksFrancesco Calimeri, Aldo Marzullo, Claudio Stamile, Giorgio Terracina. 626-634 [doi]
• Detection of Diabetic Retinopathy Based on a Convolutional Neural Network Using Retinal Fundus ImagesGabriel García, Jhair Gallardo, Antoni Mauricio, Jorge López, Christian Del Carpio. 635-642 [doi]
• A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain SegmentationsAdrian Ion-Margineanu, Gabriel Kocevar, Claudio Stamile, Diana Maria Sima, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier. 643-651 [doi]
• Parallel-Pathway Generator for Generative Adversarial Networks to Generate High-Resolution Natural ImagesYuya Okadome, Wenpeng Wei, Toshiko Aizono. 655-662 [doi]
• Using Echo State Networks for CryptographyRajkumar Ramamurthy, Christian Bauckhage, Krisztian Buza, Stefan Wrobel. 663-671 [doi]
• Two Alternative Criteria for a Split-Merge MCMC on Dirichlet Process Mixture ModelsTikara Hosino. 672-679 [doi]
• FP-MRBP: Fine-grained Parallel MapReduce Back Propagation AlgorithmGang Ren, Qingsong Hua, Pan Deng, Chao Yang. 680-687 [doi]
• IQNN: Training Quantized Neural Networks with Iterative OptimizationsShuchang Zhou, He Wen, Taihong Xiao, Xinyu Zhou. 688-695 [doi]
• Compressing Neural Networks by Applying Frequent Item-Set MiningZi-Yi Dou, Shujian Huang, Yi-Fan Su. 696-704 [doi]
• Applying the Heavy-Tailed Kernel to the Gaussian Process Regression for Modeling Point of Sale DataRui Yang, Yukio Ohsawa. 705-712 [doi]
• Chaotic Associative Memory with Adaptive Scaling FactorTatsuuya Okada, Yuko Osana. 713-721 [doi]