Table of Contents

• Plenary talks: Frontiers in recurrent neural network researchAlex Graves. [doi]
• Simple and efficient parallelization for probabilistic temporal tensor factorizationGuangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu. 1-8 [doi]
• Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clusteringMahesh Mohan, Claire Monteleoni. 9-16 [doi]
• Brazil's Bolsa Familia and young adult workers: A parallel RDD approach to large datasetsAloisio Dourado, Rommel N. Carvalho, Gustavo C. G. van Erven. 17-24 [doi]
• Advanced pseudo-inverse linear discriminants for the improvement of classification accuraciesZhichao Jin, Lili Guo, Daqi Gao. 25-30 [doi]
• A self-organizing model for affective memoryPablo V. A. Barros, Stefan Wermter. 31-38 [doi]
• Hyperarticulation aids learning of new vowels in a developmental speech acquisition modelAnja Kristina Philippsen, René Felix Reinhart, Britta Wrede, Petra Wagner. 39-45 [doi]
• Neurorobotic simulations on the degradation of multiple column liquid state machinesRicardo de Azambuja, D. H. Garcia, Martin F. Stoelen, Angelo Cangelosi. 46-51 [doi]
• The art of scaling up : A computational account on action selection in basal gangliaBhargav Teja Nallapu, Bapi Raju Surampudi, Nicolas P. Rougier. 52-58 [doi]
• EEG classification based on sparse representationHongwei Mo, Chaomin Luo, Gene Eu Jan. 59-62 [doi]
• Stochastic and deterministic stationarity analysis of EEG dataDaniel Moreira Cestari, João Luís Garcia Rosa. 63-70 [doi]
• Enhanced detection of movement onset in EEG through deep oversamplingNoura Al Moubayed, Bashar Awwad Shiekh Hasan, Andrew Stephen McGough. 71-78 [doi]
• Investigating the possibility of applying EEG lossy compression to EEG-based user authenticationBinh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran. 79-85 [doi]
• Single-cell based random neural network for deep learningYonghua Yin, Erol Gelenbe. 86-93 [doi]
• Efficient k-means++ with random projectionJan Y. K. Chan, Alex Po Leung. 94-100 [doi]
• A two-phase representation based face recognition method with 'random-filtering' virtual samplesDeyan Tang, Si-wang Zhou, Wenjuan Yang, Yonghe Liu. 101-107 [doi]
• Using noise to speed up video classification with recurrent backpropagationOlaoluwa Adigun, Bart Kosko. 108-115 [doi]
• DeepRecon: Dynamically reconfigurable architecture for accelerating deep neural networksTayyar Rzayev, Saber Moradi, David H. Albonesi, Rajit Manohar. 116-124 [doi]
• A robust adaptive stochastic gradient method for deep learningÇaglar Gülçehre, Jose Sotelo, Marcin Moczulski, Yoshua Bengio. 125-132 [doi]
• Data-centric computation mode for convolution in deep neural networksPeiqi Wang, Zhenyu Liu, Haixia Wang, Dongsheng Wang. 133-139 [doi]
• A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machineWeite Li, Jinglu Hu. 140-146 [doi]
• Selective and cooperative potentiality maximization for improving interpretation and generalizationRyotaro Kamimura. 147-153 [doi]
• Neural networks between integer and rational weightsJirí Sima. 154-161 [doi]
• Weibull partition models with applications to hidden semi-Markov modelsYouwei Lu, Shogo Okada, Katsumi Nitta. 162-169 [doi]
• A model based search method for prediction in model-free Markov decision processAjin George Joseph, Shalabh Bhatnagar. 170-177 [doi]
• Deeply-supervised CNN for prostate segmentationQikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan. 178-184 [doi]
• A weighted-resampling based transfer learning algorithmXiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang. 185-190 [doi]
• Fitness with diversity information for selection of evolutionary algorithmsYang Li, Chengjun Li, Gang Liu, Wei Long. 191-197 [doi]
• A kernel-based adaptive fuzzy c-means algorithm for M-FISH image segmentationAlan William Dougherty, Jane You. 198-205 [doi]
• Neural network modeling of business decision makingDaniel S. Levine, Kay-Yut Chen, Bakur AlQaudi. 206-213 [doi]
• Actions as contextsXiang Wu, Juyang Weng. 214-221 [doi]
• "Hard science" of psychology, physics of the mindLeonid I. Perlovsky. 222-227 [doi]
• Resting state neural networks and energy metabolismRaymond Noack, Chetan Manjesh, Miklós Ruszinkó, Hava T. Siegelmann, Robert Kozma. 228-235 [doi]
• Accurate classification of immunomodulatory RNA sequencesHugo A. Guillen-Ramirez, José D. Colbes, Carlos A. Brizuela, Israel M. Martínez-Pérez. 236-241 [doi]
• Structural damage assessment using artificial immune systems and wavelet decompositionArthur Shi, Xiao-Hua Yu. 242-247 [doi]
• Feature importance calculation and protein quality assessment on the decoy discrimination problemEdwin German Maldonado Tavara, Marley M. B. R. Vellasco, Bruno A. C. Horta, Fábio L. Custódio. 248-255 [doi]
• Convex local sensitive low rank matrix approximationChong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-an Yuan, De-Shuang Huang. 256-261 [doi]
• Adaptive blocked Gibbs sampling for inference in probabilistic graphical modelsMohammad Maminur Islam, Mohammad Khan Al Farabi, Deepak Venugopal. 262-269 [doi]
• Probabilistic matrix factorization from quantized measurementsGiulio Bottegal, Johan A. K. Suykens. 270-277 [doi]
• Probabilistic matching: Causal inference under measurement errorsFani Tsapeli, Peter Tiño, Mirco Musolesi. 278-285 [doi]
• Bayesian optimization for conditional hyperparameter spacesJulien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin. 286-293 [doi]
• Unsupervised deep kernel for high dimensional dataYing Xie, Linh Le, Jie Hao. 294-299 [doi]
• Margin maximization for robust classification using deep learningAlexander Matyasko, Lap-Pui Chau. 300-307 [doi]
• Variational methods for conditional multimodal deep learningGaurav Pandey, Ambedkar Dukkipati. 308-315 [doi]
• Deep graph node kernels: A convex approachLuca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita. 316-323 [doi]
• Cooperative learning: Decentralized data neural networkNoah Lewis, Sergey N. Plis, Vince D. Calhoun. 324-331 [doi]
• On the characterization of the Oracle for dynamic classifier selectionMariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin. 332-339 [doi]
• Data analysis in Weitzenbock spaceStephen R. Marsland, Carole J. Twining. 340-347 [doi]
• Simple, fast and accurate hyper-parameter tuning in Gaussian-kernel SVMGuangliang Chen, Wilson Florero-Salinas, Dan Li. 348-355 [doi]
• An output-based knowledge transfer approach and its application in bladder cancer predictionGuanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu. 356-363 [doi]
• Relational autoencoder for feature extractionQinxue Meng, Daniel R. Catchpoole, David Skillicom, Paul J. Kennedy. 364-371 [doi]
• Metric learning for multi-instance classification with collapsed bagsDewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian. 372-379 [doi]
• First-order causal process for causal modelling with instantaneous and cross-temporal relationsFujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu. 380-387 [doi]
• Universal network representation for heterogeneous information networksRuiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long. 388-395 [doi]
• Panoramic background modeling for PTZ cameras with competitive learning neural networksKarl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello. 396-403 [doi]
• Neural controller for PTZ cameras based on nonpanoramic foreground detectionMiguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Karl Thurnhofer-Hemsi. 404-411 [doi]
• LonchaNet: A sliced-based CNN architecture for real-time 3D object recognitionFrancisco Gomez-Donoso, A. Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla. 412-418 [doi]
• Prediction of natural guidewire rotation using an sEMG-based NARX neural networkXiao-Hu Zhou, Gui-bin Bian, Xiaoliang Xie, Zeng-Guang Hou, Jian-Long Hao. 419-424 [doi]
• A recurrent neural network based Schaeffer gesture recognition systemSergiu Oprea, A. Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla. 425-431 [doi]
• Matching video net: Memory-based embedding for video action recognitionDaeSik Kim, Myunggi Lee, Nojun Kwak. 432-438 [doi]
• Haptic material classification with a multi-channel neural networkMatthias Kerzel, Moaaz Ali, Hwei Geok Ng, Stefan Wermter. 439-446 [doi]
• Variation in classification accuracy with number of glimpsesJayanta K. Dutta, Bonny Banerjee. 447-453 [doi]
• Fast on-line kernel density estimation for active object localizationAnthony D. Rhodes, Max H. Quinn, Melanie Mitchell. 454-462 [doi]
• Human action recognition using transfer learning with deep representationsAllah Bux Sargano, Xiaofeng Wang, Plamen Angelov, Zulfiqar Habib. 463-469 [doi]
• Factorization for projective and metric reconstruction via truncated nuclear normYang Lin, Li Yang, Zhouchen Lin, Tong Lin, Hongbin Zha. 470-477 [doi]
• Robust nonnegative matrix factorization with ordered structure constraintsJing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Xiao Wang, Xianchao Tang. 478-485 [doi]
• Nonnegative matrix factorization with adaptive neighborsShudong Huang, Zenglin Xu, Fei Wang. 486-493 [doi]
• Multi-view unsupervised feature selection by cross-diffused matrix alignmentXiaokai Wei, Bokai Cao, Philip S. Yu. 494-501 [doi]
• Distance metric learning with eigenvalue fine tuningWenquan Wang, Ya Zhang, Jinglu Hu. 502-509 [doi]
• Deep reward shaping from demonstrationsAhmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne. 510-517 [doi]
• Mitigating fooling with competitive overcomplete output layer neural networksNavid Kardan, Kenneth O. Stanley. 518-525 [doi]
• Neurogenesis deep learning: Extending deep networks to accommodate new classesTimothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Jonathan A. Cox, Craig M. Vineyard, Kristofor D. Carlson, William M. Severa, Conrad D. James, James B. Aimone. 526-533 [doi]
• Fast feedforward non-parametric deep learning network with automatic feature extractionPlamen P. Angelov, Xiaowei Gu, José C. Príncipe. 534-541 [doi]
• The effects of output codes on transfer learning in a deep convolutional neural netSteven Gutstein, Ethan Stump. 542-548 [doi]
• A sequential simplex algorithm for automatic data and center selecting radial basis functionsXiaofeng Ma, Tomojit Ghosh, Michael Kirby. 549-556 [doi]
• Dictionary learning with equiprobable matching pursuitFredrik Sandin, Sergio Martin del Campo. 557-564 [doi]
• A TCART-M - Tuned CARTesian-based error function for multilabel classification with the MLPJacek Mandziuk, Adam Zychowski, Lipo Wang. 565-572 [doi]
• A two-step cascade classification methodEunelson J. Silva, Alceu S. Britto Jr., Luiz. S. Oliveira, Fabrício Enembreck, Robert Sabourin, Alessandro L. Koerich. 573-580 [doi]
• Incorporating instance correlations in multi-label classification via label-spaceIuri Bonna M. de Abreu, Rafael Gomes Mantovani, Ricardo Cerri. 581-588 [doi]
• Social recommendation using Euclidean embeddingWentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia, Tong Dou. 589-595 [doi]
• Music recommendation via heterogeneous information graph embeddingDongjing Wang, Guandong Xu, ShuiGuang Deng. 596-603 [doi]
• Leveraging deep visual features for content-based movie recommender systemsRalph Jose Rassweiler Filho, Jonatas Wehrmann, Rodrigo C. Barros. 604-611 [doi]
• Graph-boosted convolutional neural networks for semantic segmentationGuangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen. 612-618 [doi]
• Link prediction by exploiting network formation games in exchangeable graphsLiqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu. 619-626 [doi]
• Teaching emotion expressions to a human companion robot using deep neural architecturesNikhil Churamani, Matthias Kerzel, Erik Strahl, Pablo Barros, Stefan Wermter. 627-234 [doi]
• A self-driving robot using deep convolutional neural networks on neuromorphic hardwareTiffany Hwu, Jacob Isbell, Nicolas Oros, Jeffrey L. Krichmar. 635-641 [doi]
• Emergence of tool construction in an articulated limb controlled by evolved neural circuitsRandall Reams, Yoonsuck Choe. 642-649 [doi]
• Neural based obstacle avoidance with CPG controlled hexapod walking robotPetr Cizek, Pavel Milicka, Jan Faigl. 650-656 [doi]
• Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN modelMinkyu Choi, Jun Tani. 657-664 [doi]
• Visual entity linkingNeha Tilak, Sunil Gandhi, Tim Oates. 665-672 [doi]
• Simulations support the simple hypothesis that persistent coupling of electrochemical activity in recurrent network neurons is an objective signature of visual object unityRaymond Pavloski, Charles Lamb. 673-680 [doi]
• Audio visual speech recognition with multimodal recurrent neural networksWeijiang Feng, Naiyang Guan, Yuan Li, Xiang Zhang, Zhigang Luo. 681-688 [doi]
• Perception space analysis: From color vision to odor perceptionAmir Madany Mamlouk, Martin Haker, Thomas Martinetz. 689-696 [doi]
• The modulation of synchronization by tuning functions and its effect on multi-sensory perceptionA. Ravishankar Rao. 697-704 [doi]
• Using regularized fisher discriminant analysis to improve the performance of Gaussian supervector in session and device identificationFrank Hung-Fat Leung, Yuechi Jiang. 705-712 [doi]
• Machine learning approaches to predict learning outcomes in Massive open online coursesRaghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn, Naeem Radi. 713-720 [doi]
• Analyzing and predicting concurrency bugs in open source systemsPaolo Ciancarini, Francesco Poggi, Davide Rossi, Alberto Sillitti. 721-728 [doi]
• A self-enforcing neural network as decision support system for air traffic control based on probabilistic weather forecastsChristina Klüver, Jürgen Klüver, Dirk Zinkhan. 729-736 [doi]
• Structure embedding for knowledge base completion and analyticsZili Zhou, Guandong Xu, Wenhao Zhu, Jinyan Li, Wu Zhang. 737-743 [doi]
• Deep learning based frameworks for image super-resolution and noise-resilient super-resolutionManoj Sharma, Santanu Chaudhury, Brejesh Lall. 744-751 [doi]
• CAS-CNN: A deep convolutional neural network for image compression artifact suppressionLukas Cavigelli, Pascal Hager, Luca Benini. 752-759 [doi]
• Learning of binocular fixations using anomaly detection with deep reinforcement learningFrancois de La Bourdonnaye, Céline Teulière, Thierry Chateau, Jochen Triesch. 760-767 [doi]
• Abstraction hierarchy in deep learning neural networksRoman Ilin, Thomas Watson, Robert Kozma. 768-774 [doi]
• Deep learning through evolution: A hybrid approach to scheduling in a dynamic environmentDavid Fagan, Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill. 775-782 [doi]
• Octonion-valued bidirectional associative memoriesCalin-Adrian Popa. 783-787 [doi]
• Hyperellipsoidal neuronCarlos Villaseñor, Nancy Arana-Daniel, Alma Y. Alanis, Carlos López-Franco. 788-794 [doi]
• Dendrite Ellipsoidal NeuronFernando Arce, Erik Zamora, Humberto Sossa. 795-802 [doi]
• Neuro-inspired quantum associative memory using adiabatic hamiltonian evolutionYoshihiro Osakabe, Shigeo Sato, Hisanao Akima, Masao Sakuraba, Mitsunaga Kinjo. 803-807 [doi]
• Matrix variate RBM model with Gaussian distributionsSimeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin. 808-815 [doi]
• Complex-valued convolutional neural networks for real-valued image classificationCalin-Adrian Popa. 816-822 [doi]
• Evolutionary optimization of on-line multilayer perceptron for similarity-based access controlAndrii Shalaginov. 823-830 [doi]
• Modeling direction selective visual neural network with ON and OFF pathways for extracting motion cues from cluttered backgroundShigang Yue, Qinbing Fu. 831-838 [doi]
• A dynamic neural controller for adaptive optimal control of permanent magnet DC motorsYinyan Zhang, Shuai Li, Xin Luo, Mingsheng Shang. 839-844 [doi]
• LSTM with working memoryAndrew Pulver, Siwei Lyu. 845-851 [doi]
• Critical echo state network dynamics by means of Fisher information maximizationFilippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi. 852-858 [doi]
• Learning to reproduce stochastic time series using stochastic LSTMSadaf Gulshad, Dick Sigmund, Jong-Hwan Kim. 859-866 [doi]
• Parameter compression of recurrent neural networks and degradation of short-term memoryJonathan A. Cox. 867-872 [doi]
• Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired frameworkXiao Huang, Wei Wu 0003, Peijie Yin, Hong Qiao. 873-879 [doi]
• Neural control for a microgridMartin J. Loza-Lopez, Tania B. Lopez-Garcia, Riemann Ruiz-Cruz, Edgar N. Sánchez. 880-887 [doi]
• Empirical analysis of the necessary and sufficient conditions of the echo state propertySebastián Basterrech. 888-896 [doi]
• Fast deep neural network based on intelligent dropout and layer skippingAsma ElAdel, Ridha Ejbali, Mourad Zaied, Chokri Ben Amar. 897-902 [doi]
• A study on visual interpretation of network in networkSatoshi Suzuki, Hayaru Shouno. 903-910 [doi]
• Asymmetric stacked autoencoderAngshul Majumdar, Aditay Tripathi. 911-918 [doi]
• Deep learning based image description generationPhilip Kinghorn, Li Zhang, Ling Shao. 919-926 [doi]
• Deep neural network bottleneck features for bird species verificationJinming Zhao, Yanyan Xu, Dengfeng Ke, Kaile Su. 927-933 [doi]
• Sequence-to-sequence prediction of personal computer software by recurrent neural networkQichuan Yang, Zhiqiang He, Fujiang Ge, Yang Zhang. 934-940 [doi]
• Image aesthetics assessment using Deep Chatterjee's machineZhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane Beck, Thomas S. Huang. 941-948 [doi]
• Fusing attention with visual question answeringRyan Burt, Mihael Cudic, José C. Príncipe. 949-953 [doi]
• A novel constructive algorithm for CANetDanilo C. Pereira, Bruno J. T. Fernandes. 954-961 [doi]
• A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanenceErnest Fokoué, Lakshmi Ravi, Dhireesha Kudithipudi. 962-967 [doi]
• Integrating extra knowledge into word embedding models for biomedical NLP tasksYuan Ling, Yuan An, Mengwen Liu, Sadid A. Hasan, Ye-tian Fan, Xiaohua Hu. 968-975 [doi]
• Risk-averse trees for learning from logged bandit feedbackFrancesco Trovò, Stefano Paladino, Paolo Simone, Marcello Restelli, Nicola Gatti 0001. 976-983 [doi]
• Pruning optimum-path forest ensembles using quaternion-based optimizationSilas Evandro Nachif Fernandes, João Paulo Papa. 984-991 [doi]
• Groupwise Bayesian dimension reductionBo Zhang, Liwei Wang, Song Yan, Chul Sung. 992-996 [doi]
• A novel clustering oriented closeness measure based on neighborhood chainShaoyi Liang, Deqiang Han, Lei Zhang, Qinke Peng. 997-1004 [doi]
• Selection of learning expertsRobin Allesiardo, Raphaël Féraud. 1005-1010 [doi]
• Robust semi-supervised concept factorizationWei Yan, Bob Zhang, Sihan Ma. 1011-1017 [doi]
• A partial labeling framework for multi-class imbalanced streaming dataElaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi. 1018-1025 [doi]
• Class representative autoencoder for low resolution multi-spectral gender classificationManeet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa. 1026-1033 [doi]
• Online incremental supervised growing neural gasFelipe Duque Belfort, Hansenclever F. de Bassani, Aluizio F. R. Araujo. 1034-1040 [doi]
• Online compressed robust PCAPingbo Pan, Jiashi Feng, Ling Chen, Yi Yang. 1041-1048 [doi]
• Sharing deep generative representation for perceived image reconstruction from human brain activityChangde Du, Changying Du, Huiguang He. 1049-1056 [doi]
• Colorness index strategy for pixel fire segmentationBruno Miguel Nogueira de Souza, Jacques Facon, David Menotti. 1057-1063 [doi]
• Large-scale image classification using fast SVM with deep quasi-linear kernelPeifeng Liang, Weite Li, Donghang Liu, Jinglu Hu. 1064-1071 [doi]
• Bias corrected regularization kernel network and its applicationsQiang Wu. 1072-1079 [doi]
• m-Power regularized least squares regressionJulien Audiffren, Hachem Kadri. 1080-1086 [doi]
• Clustering by support vector manifold learningMarcin Orchel. 1087-1094 [doi]
• Compress-filtering and transfer-expanding of data set for short-term load forecastingPan Zeng, Di Wu, Min Jin. 1095-1101 [doi]
• Multi-view LS-SVM regression for black-box temperature prediction in weather forecastingLynn Houthuys, Zahra Karevan, Johan A. K. Suykens. 1102-1108 [doi]
• Overdispersed variational autoencodersHarshil Shah, David Barber, Aleksandar Botev. 1109-1116 [doi]
• Efficient global network learning from local reconstructionsSéverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker. 1117-1124 [doi]
• Class-wise deep dictionary learningVanika Singhal, Prerna Khurana, Angshul Majumdar. 1125-1132 [doi]
• Neural net-based and safety-oriented visual analytics for time-spatial dataZhenghao Chen, Jianlong Zhou, Xiuying Wang, Jeremy Swanson, Fang Chen, Dagan Feng. 1133-1140 [doi]
• Class-specific kernel discriminant analysis based on Cholesky decompositionAlexandros Iosifidis, Moncef Gabbouj. 1141-1146 [doi]
• Link prediction based hybrid recommendation system using user-page preference graphsMohammad Amir Sharif, Vijay V. Raghavan 0001. 1147-1154 [doi]
• Optimize collapsed Gibbs sampling for biterm topic model by alias methodXingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Xiaoli Bai, Jia Li. 1155-1162 [doi]
• Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network modelsSatoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano, Shigeru Kubota, Shigeo Sato. 1163-1168 [doi]
• Synchronization analysis for complex networks with interval delay via non-fragile pinning controlDawei Gong, Zhiwen Zhang, Xiaolin Dai, Jinliang Song, Bonan Huang. 1169-1173 [doi]
• Classification based on neuroimaging data by tensor boostingBo Zhang, Hua Zhou, Liwei Wang, Chul Sung. 1174-1179 [doi]
• Programming the mind and decrypting the universe - A bipolar quantum-neuro-fuzzy associative memory model for quantum cognition and quantum intelligenceWen-Ran Zhang. 1180-1187 [doi]
• The neural control of movement must contend with trajectory-specific and nonlinearly distorted manifolds of afferent muscle spindle activityJasmine A. Berry, Robert Ritter, Akira Nagamori, Francisco J. Valero Cuevas. 1188-1194 [doi]
• Separating inference from feature learning in deep unsupervised visual saliency estimationBruno Tailie, Michaël Garcia Ortiz. 1195-1201 [doi]
• Selection of stable features for modeling 4-D affective space from EEG recordingRakib Al-Fahad, Mohammed Yeasin, A. S. M. Iftekhar Anam, Bahareh Elahian. 1202-1209 [doi]
• Multi-label feature selection algorithm based on label pairwise ranking comparison transformationHaotian Xu, Lingyu Xu. 1210-1217 [doi]
• A CMOS chaotic Boltzmann machine circuit and three-neuron network operationMasatoshi Yamaguchi, Hakaru Tamukoh, Hideyuki Suzuki, Takashi Morie. 1218-1224 [doi]
• Noisy neuromorphic neurons with RPG on-chip noise sourceKun Yue, Alice C. Parker. 1225-1229 [doi]
• Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networksJi Li, Zihao Yuan, Zhe Li 0001, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang. 1230-1236 [doi]
• Deep learning based nonlinear principal component analysis for industrial process fault detectionXiaogang Deng, Xuemin Tian, Sheng Chen 0001, Chris J. Harris. 1237-1243 [doi]
• Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithmParthasarathy Nadarajan, Michael Botsch, Sebastian Sardiña. 1244-1251 [doi]
• Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNNJohan Isaksson, Ida Arvidsson, Kalle Åström, Anders Heyden. 1252-1256 [doi]
• Improved speaker recognition system for stressed speech using deep neural networksSri Harsha Dumpala, Sunil Kumar Kopparapu. 1257-1264 [doi]
• Incorporating message embedding into co-factor matrix factorization for retweeting predictionCan Wang, Qiudan Li, Lei Wang, Daniel Dajun Zeng. 1265-1272 [doi]
• Classifying commit messages: A case study in resampling techniquesSeyedHamid Shekarforoush, Robert Green, Robert Dyer 0004. 1273-1280 [doi]
• An analysis of factors predicting memory loss in Alzheimer's disease preventionMingzhao Hu, Yifei Zhang, N. Maritza Dowling. 1281-1288 [doi]
• A generative model with hypergraph regularizers for protein function predictionShaokai Wang, Xutao Li, Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du. 1289-1296 [doi]
• Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patientsCosimo Ieracitano, Jonas Duun-Henriksen, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito. 1297-1304 [doi]
• Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity mapSatoru Ishikawa, Jorma Laaksonen, Juha Karhunen. 1305-1312 [doi]
• Online peak detection in photoplethysmogram signals using sequential learning algorithmB. N. Sumukha, R. Chandan Kumar, Skanda S. Bharadwaj, Koshy George. 1313-1320 [doi]
• Cross-validated smooth multi-instance learningDayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang. 1321-1325 [doi]
• A large-scale multi-pose 3D-RGB object databaseFabian Sachara, Finn Handmann, Nico Cremer, Thomas Kopinski, Alexander Gepperth, Uwe Handmann. 1326-1332 [doi]
• Design of a hierarchical-clustering CMAC-PID controllerYuntao Liao, Kazushige Koiwai, Toru Yamamoto. 1333-1338 [doi]
• Hamiltonian-driven adaptive dynamic programming for nonlinear discrete-time dynamic systemsYongliang Yang, Donald Wunsch, Yixin Yin. 1339-1346 [doi]
• Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode controlYufei Tang, Chaoxu Mu, Haibo He. 1347-1353 [doi]
• Exploring quantization error to improve human action classificationRaquel Almeida, Zenilton Kleber Goncalves do Patrocinio, Silvio Jamil Ferzoli Guimaraes. 1354-1360 [doi]
• Fast digital watermarking of uncompressed colored images using bidirectional extreme learning machineAnkit Rajpal, Anurag Mishra, Rajni Bala. 1361-1366 [doi]
• Comparison of EMD, MEMD and 2T-EMD by analyzing standard artificial signals and EEGYao Miao, Jianting Cao. 1367-1371 [doi]
• Towards using visual attributes to infer image sentiment of social eventsUnaiza Ahsan, Munmun De Choudhury, Irfan A. Essa. 1372-1379 [doi]
• Restricted Boltzmann machine based stock market trend predictionQiubin Liang, Wenge Rong, Jiayi Zhang, Jingshuang Liu, Zhang Xiong. 1380-1387 [doi]
• From ranking and clustering of evolving networks to patent citation analysisHayley Beltz, Aniko Fulop, Raoul R. Wadhwa, Péter Érdi. 1388-1394 [doi]
• Knowledge-based document embedding for cross-domain text classificationYiming Li, Baogang Wei, Liang Yao, Hui Chen, Zherong Li. 1395-1402 [doi]
• Mining E-commercial data: A text-rich heterogeneous network embedding approachWeizheng Chen, Chi Liu, Jun Yin, Hongfei Yan, Yan Zhang. 1403-1410 [doi]
• Solar power prediction with data source weighted nearest neighborsZheng Wang, Irena Koprinska. 1411-1418 [doi]
• Stock market's price movement prediction with LSTM neural networksDavid M. Q. Nelson, Adriano C. M. Pereira, Renato A. de Oliveira. 1419-1426 [doi]
• Multiscale Hebbian neural network for cyber threat detectionSana Siddiqui, Muhammad Salman Khan, Ken Ferens. 1427-1434 [doi]
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• Adversarial learning games with deep learning modelsAneesh Sreevallabh Chivukula, Wei Liu. 2758-2767 [doi]
• Towards the discrimination of primary and secondary headache: An intelligent systems approachRobert Keight, Dhiya Al-Jumaily, Abir Jaafar Hussain, Mohammed Al-Jumeily, Conor Mallucci. 2768-2775 [doi]
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• Interpreting multivariate membership degrees of fuzzy clustering methods: A strategyBruno A. Pimentel, Marcilio C. P. de Souto, Renata M. C. R. de Souza. 2800-2804 [doi]
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• Random fourier feature kernel recursive least squaresZhengda Qin, Badong Chen, Nanning Zheng. 2881-2886 [doi]
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• Kernel group sparse representation based classifier for multimodal biometricsGaurav Goswami, Richa Singh, Mayank Vatsa, Angshul Majumdar. 2894-2901 [doi]
• Pose invariance through registration for hierarchical feature based pattern recognition systemsNoel Khan, David A. Elizondo, Benjamin N. Passow, Pamela A. Hardaker. 2902-2910 [doi]
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• Training a two-choice decision-making model with environment feedbackHui Wei, Yijie Bu. 2971-2978 [doi]
• Deteriorating neural connectivity of the hippocampal episodic memory network in mTBI patients: A cohort studyHao Yan, Chuanzhu Sun, Xiaocui Wang, Lijun Bai. 2979-2986 [doi]
• Dynamic control using feedforward networks with adaptive delay and facilitating neural dynamicsKhuong N. Nguyen, Yoonsuck Choe. 2987-2994 [doi]
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• A wireless steady state visually evoked potential-based BCI eating assistive systemChing-Yu Chiu, Avinash Kumar Singh, Yu-Kai Wang, Jung-Tai King, Chin-Teng Lin. 3003-3007 [doi]
• Brewing the first ever automatic memory management utility for SpiNNaker: Real-time garbage collection for STDP simulationsMantas Mikaitis, David R. Lester. 3008-3015 [doi]
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• In vivo classification of inflammation in blood vessels with convolutional neural networksStuart Mcilroy, Yoshimasa Kubo, Thomas P. Trappenberg, James Toguri, Christian Lehmann. 3022-3027 [doi]
• An investigation of high-resolution modeling units of deep neural networks for acoustic scene classificationXiao-bao, Tian Gao, Jun Du, Li-Rong Dai. 3028-3035 [doi]
• Detection of motorcyclists without helmet in videos using convolutional neural networkC. Vishnu, Dinesh Singh 0001, C. Krishna Mohan, Sobhan Babu. 3036-3041 [doi]
• Fast diagnosis of bowel activitiesYi Huang, Insu Song, Priyanka Rana, Guan Koh. 3042-3049 [doi]
• A comparative study of complexity of handwritten Bharati characters with that of major Indian scriptsManali Naik, V. Srinivasa Chakravarthy. 3050-3057 [doi]
• The classification of periodic light curves from non-survey optimized observational data through automated extraction of phase-based visual featuresPaul R. McWhirter, Iain A. Steele, Dhiya Al-Jumeily, Abir Hussain, Marley M. B. R. Vellasco. 3058-3065 [doi]
• Weighted numerical and categorical attribute clustering in data streamsWen-Bin Liang, Chang-Dong Wang, Jian-Huang Lai. 3066-3072 [doi]
• Toward virtual data scientist with visual meansBoris Kovalerchuk, Michael Kovalerchuk. 3073-3080 [doi]
• Phonetic state relation graph regularized deep neural network for robust acoustic modelHoon Chung, Yoo Rhee Oh, Sung Joo Lee, Jeon Gue Park. 3081-3085 [doi]
• Small-footprint convolutional neural network for spoofing detectionHeinrich Dinkel, Yanmin Qian, Kai Yu. 3086-3091 [doi]
• Biomorphic modeling of phoneme identification and classification based on an evolving fuzzy-neural network: From hardcomputing to softcomputingMario Malcangi, Hao Quan, Philip Grew. 3092-3097 [doi]
• Biologically inspired reinforcement learning for mobile robot collision avoidanceMyung Seok Shim, Peng Li. 3098-3105 [doi]
• MLMVN as an intelligent image filterIgor N. Aizenberg, Alan Ordukhanov, Fionntan O'Boy. 3106-3113 [doi]
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• Semi-supervised saliency classifier based on a linear feedback control system modelShuwei Huo, Yuan Zhou, Sun-Yuan Kung. 3130-3137 [doi]
• Adaptive learning based driving episode description on category mapsHirokazu Madokoro, Kazuhito Sato, Kazuhisa Nakasho, Nobuhiro Shimoi. 3138-3145 [doi]
• Structural superpixel descriptor for visual trackingWenjun Huang, Ruimin Hu, Chao Liang, Weijian Ruan, Bo Luo. 3146-3152 [doi]
• Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compressionBinh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran. 3153-3160 [doi]
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• Predicting evolving chaotic time series with fuzzy neural networksFrank Z. Xing, Erik Cambria, Xiaomei Zou. 3176-3183 [doi]
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• perf in Chinese reviewsYuxiang Bao, Hua Xu, Fei Jia, Xiaoli Bai. 3208-3215 [doi]
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• Prediction of residual power peaks in industrial microgrids using artificial neural networksThorsten Vogt, Daniel Weber, Oliver Wallscheid, Joachim Böcker. 3228-3235 [doi]
• A first approach using neural network to estimating soil bulk density of Urucu basin in Central Amazon-BrazilTayana Moreira, D. N. Brandao, D. B. Haddad, M. B. Ceddia, E. F. M. Pinheiro, R. F. Oliveira. 3236-3239 [doi]
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• Regression-forests-based estimation of blood pressure using the pulse transit time obtained by facial photoplethysmogramMototaka Yoshioka, Souksakhone Bounyong. 3248-3253 [doi]
• Constrained LMS for dynamic flow networksKonstantinos Eftaxias, Clive Cheong Took, Bruno Venturini, David Arscott. 3254-3258 [doi]
• Integrative computing method for the prediction of zinc-binding sites in proteinsHui Li, Dechang Pi, Yinghong Liang, Chuanming Chen, Yongzhi Liu. 3259-3264 [doi]
• Investigating the effects of class imbalance in learning the claim authorization process in the Brazilian health care marketJackson Cunha Cassimiro, André Macedo Santana, Pedro de A. Santos Neto, Ricardo Lira Rabelo. 3265-3272 [doi]
• A language-independent hybrid approach for multi-word expression extractionYinghong Liang, Hongye Tan, Hui Li, Zhigang Wang, Wenming Gui. 3273-3279 [doi]
• Learning user distance from multiple social networksYufei Liu, Dechang Pi, Lin Cui. 3280-3287 [doi]
• Clickthrough refinement for improved graph rankingYu He, Jun Wu, Haishuai Wang. 3288-3295 [doi]
• Deep learning inspired prognostics scheme for applications generating big dataR. Krishnan, S. Jagannathan, V. A. Samaranayake. 3296-3302 [doi]
• Critical clearing time prediction using recurrent neural networksKomla A. Folly, Paul K. Olulope, Ganesh K. Venayagamoorthy. 3303-3309 [doi]
• Constrained versus unconstrained learning in generalized recurrent network for image processingL. Vidyaratne, M. Alam, J. K. Anderson, Khan M. Iftekharuddin. 3310-3317 [doi]
• A continuous hopfield neural network based on dynamic step for the traveling salesman problemChunni Zhong, Chaomin Luo, Zhenzhong Chu, Wenyang Gan. 3318-3323 [doi]
• Acoustic novelty detection with adversarial autoencodersEmanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza. 3324-3330 [doi]
• Domain adaptation of POS taggers without handcrafted featuresIrving M. Rodrigues, Eraldo R. Fernandes, Cícero Nogueira dos Santos. 3331-3338 [doi]
• Scaling up deep reinforcement learning for multi-domain dialogue systemsHeriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse. 3339-3346 [doi]
• Kernel and random extreme learning machine applied to submersible motor pump fault diagnosisThomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro. 3347-3354 [doi]
• A multistage collaborative filtering method for fall detectionTao Xie, Yiqiang Chen, Lisha Hu, Chenlong Gao, Chunyu Hu, Jianfei Shen. 3355-3362 [doi]
• Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agentsInés del Campo, M. Victoria Martínez, Flavia Orosa, Javier Echanobe, Estibaliz Asua, Koldo Basterretxea. 3363-3370 [doi]
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• Cellular computational extreme learning machine network based frequency predictions in a power systemIroshani Jayawardene, Ganesh K. Venayagamoorthy. 3377-3384 [doi]
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• How systematic is the environmental sustainability index 2002 as a tool for grouping countries in terms of their environmental sustainability?Tatiana Tambouratzis, Nikos Hatziefthimiou. 4087-4094 [doi]
• Side-channel analysis and machine learning: A practical perspectiveStjepan Picek, Annelie Heuser, Alan Jovic, Simone A. Ludwig, Sylvain Guilley, Domagoj Jakobovic, Nele Mentens. 4095-4102 [doi]
• Signal-based autonomous clustering for relational dataParisa Rastin, Basarab Matei, Guénaël Cabanes, Ibtissame El Baghdadi. 4103-4110 [doi]
• Collaborative clustering between different topological partitionsAntoine Lachaud, Nistor Grozavu, Basarab Matei, Younès Bennani. 4111-4117 [doi]
• Integrating distance metric learning and cluster-level constraints in semi-supervised clusteringBruno Magalhães Nogueira, Yuri Karan Benevides Tomas, Ricardo Marcondes Marcacini. 4118-4125 [doi]
• Analysis of the influence of diversity in collaborative and multi-view clusteringJérémie Sublime, Basarab Matei, Pierre-Alexandre Murena. 4126-4133 [doi]
• Improving load forecasting based on deep learning and K-shape clusteringFateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie. 4134-4141 [doi]
• Transfer learning of shared latent spaces between robots with similar kinematic structureBrian Delhaisse, Domingo Esteban, Leonel Dario Rozo, Darwin G. Caldwell. 4142-4149 [doi]
• Learning multisensory neural controllers for robot arm trackingLakshitha P. Wijesinghe, Marco Antonelli, Jochen Triesch, Bertram E. Shi. 4150-4157 [doi]
• Multi-robot cooperative planning by consensus Q-learningArup Kumar Sadhu, Amit Konar, Bonny Banerjee, Atulya K. Nagar. 4158-4164 [doi]
• Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot armsLong Jin, Shuai Li, Xin Luo, Mingsheng Shang. 4165-4170 [doi]
• An inexpensive flying robot design for embodied robotics researchChelsea Sabo, Esin Yavuz, Alex Cope, Kevin Gumey, Eleni Vasilaki, Thomas Nowotny, James A. R. Marshall. 4171-4178 [doi]
• Mining Hubble Space Telescope imagesAlex Hocking, Yi Sun, James E. Geach, Neil Davey. 4179-4186 [doi]
• Image completion with global structure and weighted nuclear norm regularizationMingli Zhang, Christian Desrosiers. 4187-4193 [doi]
• Two-dimensional spectral image calibration based on feed-forward neural networkMingze Li, Hasitieer Haerken, Ping Guo, Fuqing Duan, Qian Yin, Xin Zheng. 4194-4201 [doi]
• Genetic algorithm-based optimization of ELM for on-line hyperspectral image classificationJavier Echanobe, I. del Campo, M. Victoria Martínez, Koldo Basterretxea. 4202-4207 [doi]
• Restricted exhaustive search for frequency band selection in motor imagery classificationPaul Bustios, Joao Luis Rosa. 4208-4213 [doi]
• Batch reinforcement learning on the industrial benchmark: First experiencesDaniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing. 4214-4221 [doi]
• Time delays in a HyperNEAT network to improve gait learning for legged robotsOscar Silva, Pascal Sigel, María-José Escobar. 4222-4228 [doi]
• Robust optimal control for time-delay systems with dynamic uncertainties via ADPLu Dong, Jun Li, Wankou Yang, Changyin Sun. 4229-4235 [doi]
• Active disturbance rejection control based on differential neural networksIvan Salgado, Manuel Mera, Isaac Chairez. 4236-4243 [doi]
• Gain confidence of a neural network used for model based controlSteve Piche, Jason Grimm. 4244-4251 [doi]
• Cellular computational generalized neuron network with cooperative PSO for power systemsMd. Ashfaqur Rahman, Yawei Wei, Ganesh Kumar Venayagamoorthy. 4252-4258 [doi]
• Solar power prediction using weather type pair patternsZheng Wang, Irena Koprinska, Mashud Rana. 4259-4266 [doi]
• Local short term electricity load forecasting: Automatic approachesThe-Hien Dang-Ha, Filippo Maria Bianchi, Roland Olsson. 4267-4274 [doi]
• Temporal overdrive recurrent neural networkFilippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen. 4275-4282 [doi]
• Monthly energy consumption forecast: A deep learning approachRodrigo Ferreira Berriel, Andre Teixeira Lopes, Alexandre Rodrigues, Flávio Miguel Varejão, Thiago Oliveira-Santos. 4283-4290 [doi]
• A self-organizing map-based method for multi-label classificationGustavo G. Colombini, Iuri Bonna M. de Abreu, Ricardo Cerri. 4291-4298 [doi]
• From CPU to FPGA - Acceleration of self-organizing maps for data miningJan Lachmair, Thomas Mieth, Rene Griessl, Jens Hagemeyer, Mario Porrmann. 4299-4308 [doi]
• Adaptive density estimation based on self-organizing incremental neural network using Gaussian processXiaoyu Wang, Osamu Hasegawa. 4309-4315 [doi]
• Self-organising temporal poolingDaniel Slack, Brendan McCane, Alistair Knott. 4316-4323 [doi]
• Neural-based model predictive control for tackling steering delays of autonomous carsRanik Guidolini, Alberto F. De Souza, Filipe Wall Mutz, Claudine Badue. 4324-4331 [doi]
• Following the leader using a tracking system based on pre-trained deep neural networksFilipe Wall Mutz, Vinicius Cardoso, Thomas Teixeira, Luan F. R. Jesus, Michael André Golçalves, Ranik Guidolini, Josias Oliveira, Claudine Badue, Alberto Ferreira de Souza. 4332-4339 [doi]
• Unsupervised learning for surveillance planning with team of aerial vehiclesJan Faigl, Petr Vana. 4340-4347 [doi]
• Long-range navigation by path integration and decoding of grid cells in a neural networkVegard Edvardsen. 4348-4355 [doi]
• Designing an adaptive attention mechanism for relation classificationPengda Qin, Weiran Xu, Jun Guo. 4356-4362 [doi]
• Classification of radiology reports using neural attention modelsBonggun Shin, Falgun H. Chokshi, Timothy Lee, Jinho D. Choi. 4363-4370 [doi]
• Emotional state estimation using a modified gradient-based neural architecture with weighted estimatesSoheil Keshmiri, Hidenobu Sumioka, Junya Nakanishi, Hiroshi Ishiguro. 4371-4378 [doi]
• Typicality effect on N400 ERP in categories despite differences in semantic processingMansoureh Fahimi Hnazaee, Marc M. Van Hulle. 4379-4386 [doi]
• Complexity science for sleep stage classification from EEGTakashi Nakamura, Tricia Adjei, Yousef Alqurashi, David Looney, Mary J. Morrell, Danilo P. Mandic. 4387-4394 [doi]
• Temporal-specific roles of fractality in EEG signal of Alzheimer's diseaseSou Nobukawa, Teruya Yamanishi, Haruhiko Nishimura, Yuji Wada, Mitsuru Kikuchi, Tetsuya Takahashi. 4395-4399 [doi]
• Robust greedy deep dictionary learning for ECG arrhythmia classificationAngshul Majumdar, Rabab Kreidieh Ward. 4400-4407 [doi]
• An intelligent learning-based watermarking scheme for outsourced biomedical time series dataTrung Duy Pham, Dat Tran, Wanli Ma. 4408-4415 [doi]
• On making sense of neural networks in road analysisDaniel Morris, Andreas Antoniades, Clive Cheong Took. 4416-4421 [doi]
• Grassmann matching kernels for scene representation and recognitionBisser Raytchev, M. Koujiba, Toru Tamaki, Kazufumi Kaneda. 4422-4428 [doi]
• 3D CNN based phantom object removing from mobile laser scanning dataBalázs Nagy, Csaba Benedek. 4429-4435 [doi]
• Comparison of semantic segmentation approaches for horizon/sky line detectionTouqeer Ahmad, Pavel Campr, Martin Cadík, George Bebis. 4436-4443 [doi]
• Convolving over time via recurrent connections for sequential weight sharing in neural networksJason M. Allred, Kaushik Roy. 4444-4450 [doi]
• Compressing recurrent neural network with tensor trainAndros Tjandra, Sakriani Sakti, Satoshi Nakamura. 4451-4458 [doi]
• Recurrent neural networks and exponential PAA for virtual marine sensorsStefan Oehmcke, Oliver Zielinski, Oliver Kramer. 4459-4466 [doi]
• Structural adaptation for sparsely connected MLP using Newton's methodParastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry. 4467-4473 [doi]
• Global asymptotic stability for matrix-valued recurrent neural networks with time delaysCalin-Adrian Popa. 4474-4481 [doi]
• Connection sparsity versus orbit stability in dynamic binary neural networksRyuji Sato, Shunsuke Aoki, Toshimichi Saito. 4482-4487 [doi]
• A novel gene network model based on nonlinear dynamics of asynchronous cellular automatonRyota Araki, Hiroyuki Torikai, Takuya Yoshimoto. 4488-4495 [doi]
• Two-layer dynamic neural field learning law basec on controlled Lyapunov functionsJ. L. Garcia-Lopez, Ivan Salgado, Isaac Chairez. 4496-4503 [doi]
• The fused lasso penalty for learning interpretable medical scoring systemsNataliya Sokolovska, Yann Chevaleyre, Karine Clément, Jean-Daniel Zucker. 4504-4511 [doi]
• Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical dataAli Braytee, Wei Liu, Paul J. Kennedy. 4512-4519 [doi]
• Objective quality assessment of retinal images based on texture featuresBeatriz Remeseiro, Ana Maria Mendonça, Aurélio J. C. Campilho. 4520-4527 [doi]
• 13C octanoic acid breath testVitoantonio Bevilacqua, Marco Riezzo, Antonio Brunetti, Francesco Russo, Benedetta D'Attoma, Giuseppe Riezzo. 4528-4533 [doi]
• Microcalcification detection using Self Organizing Neuro Glia Network classifierShems Bertegi, Kirmene Marzouki. 4534-4540 [doi]
• MiPAL: Multiple-instance passive aggressive learning for identification of attention deficit hyperactive disorder from fMRIPrabhash Kumarasinghe, Sundaram Suresh, Vigneshwaran Subbaraju. 4541-4548 [doi]
• Data-driven study of mouse sleep-stages using Restricted Boltzmann MachinesVasiliki-Maria Katsageorgiou, Matteo Zanotto, Valter Tucci, Vittorio Murino, Diego Sona. 4549-4556 [doi]
• Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper)Abhronil Sengupta, Aayush Ankit, Kaushik Roy 0001. 4557-4563 [doi]
• Metastability of cortical BOLD signals in maturation and senescenceShruti Naik, Oota Subbareddy, Arpan Banerjee, Dipanjan Roy, Raju S. Bapi. 4564-4570 [doi]
• Localized sampling for hospital re-admission prediction with imbalanced sample distributionsXingquan Zhu, Jose Hurtado, Haicheng Tao. 4571-4578 [doi]
• An algorithm for automated segmentation for bleeding detection in endoscopic imagesEva Tuba, Milan Tuba, Raka Jovanovic. 4579-4586 [doi]
• A method for intelligent support to medical diagnosis in emergency cardiac careLuis A. Souto Maior Neto, Robson Pequeno, Carlos de Almeida, Katia Galdino, Fabricia Martins, Antonio V. de Moura. 4587-4593 [doi]
• Latent topic ensemble learning for hospital readmission cost reductionChristopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu. 4594-4601 [doi]
• Feature selection using multiple auto-encodersXinyu Guo, Ali A. Minai, Long J. Lu. 4602-4609 [doi]
• A fast information-theoretic approximation of joint mutual information feature selectionHeng Liu, Gregory Ditzler. 4610-4617 [doi]
• Early stabilizing feature importance for TensorFlow deep neural networksJeff Heaton, Steven McElwee, James B. Fraley, James Cannady. 4618-4624 [doi]
• Video-based face recognition using ensemble of haar-like deep convolutional neural networksMostafa Parchami, Saman Bashbaghi, Eric Granger. 4625-4632 [doi]
• Spatio-temporal pattern recognition in neural circuits with memory-transistor-driven memristive synapsesKurtis D. Cantley, Robert C. Ivans, Anand Subramaniam, Eric M. Vogel. 4633-4640 [doi]
• Emulation of finite state automata with networks of synfire ringsJérémie Cabessa, Paolo Masulli. 4641-4648 [doi]
• Vibrated synchronization features neural networkYoshitsugu Kakemoto, Shinichi Nakasuka. 4649-4656 [doi]
• A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learningA. Shukla, V. Kumar, U. Ganguly. 4657-4664 [doi]