| 2017 | "Hard science" of psychology, physics of the mind. Leonid I. Perlovsky |
| 2017 | 2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 |
| 2017 | 3D CNN based phantom object removing from mobile laser scanning data. Balázs Nagy, Csaba Benedek |
| 2017 | A CMOS chaotic Boltzmann machine circuit and three-neuron network operation. Masatoshi Yamaguchi, Hakaru Tamukoh, Hideyuki Suzuki, Takashi Morie |
| 2017 | A TCART-M - Tuned CARTesian-based error function for multilabel classification with the MLP. Jacek Mandziuk, Adam Zychowski, Lipo Wang |
| 2017 | A biologically inspired neuronal model of reward prediction error computation. Pramod S. Kaushik, Maxime Carrere, Frédéric Alexandre, Surampudi Bapi Raju |
| 2017 | A chaotic ring neural oscillator of three nonmonotonic neurons. Yo Horikawa |
| 2017 | A character-based convolutional neural network for language-agnostic Twitter sentiment analysis. Jonatas Wehrmann, Willian Becker, Henry E. L. Cagnini, Rodrigo C. Barros |
| 2017 | A class-specific copy network for handling the rare word problem in neural machine translation. Feng Wang, Wei Chen, Zhen Yang, Xiaowei Zhang, Shuang Xu, Bo Xu |
| 2017 | A comparative study of complexity of handwritten Bharati characters with that of major Indian scripts. Manali Naik, V. Srinivasa Chakravarthy |
| 2017 | A compressive multi-kernel method for privacy-preserving machine learning. Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung |
| 2017 | A continuous hopfield neural network based on dynamic step for the traveling salesman problem. Chunni Zhong, Chaomin Luo, Zhenzhong Chu, Wenyang Gan |
| 2017 | A convolutional neural network approach for acoustic scene classification. Michele Valenti, Stefano Squartini, Aleksandr Diment, Giambattista Parascandolo, Tuomas Virtanen |
| 2017 | A deep learning enabled subspace spectral ensemble clustering approach for web anomaly detection. Guiqin Yuan, Bo Li, Yiyang Yao, Simin Zhang |
| 2017 | A dynamic neural controller for adaptive optimal control of permanent magnet DC motors. Yinyan Zhang, Shuai Li, Xin Luo, Mingsheng Shang |
| 2017 | A fast information-theoretic approximation of joint mutual information feature selection. Heng Liu, Gregory Ditzler |
| 2017 | A fast method for saliency detection by back-propagating a convolutional neural network and clamping its partial outputs. Hengyue Pan, Hui Jiang |
| 2017 | A first approach using neural network to estimating soil bulk density of Urucu basin in Central Amazon-Brazil. Tayana Moreira, Diego N. Brandão, Diego B. Haddad, Marcos B. Ceddia, E. F. M. Pinheiro, Rosane F. Oliveira |
| 2017 | A framework for benchmarking machine learning methods using linear models for univariate time series prediction. Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara |
| 2017 | A generative model with hypergraph regularizers for protein function prediction. Shaokai Wang, Xutao Li, Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du |
| 2017 | A hybrid machine learning approach to automatic plant phenotyping for smart agriculture. So Yahata, Tetsu Onishi, Kanta Yamaguchi, Seiichi Ozawa, Jun Kitazono, Takenao Ohkawa, Takeshi Yoshida, Noriyuki Murakami, Hiroyuki Tsuji |
| 2017 | A kernel-based adaptive fuzzy c-means algorithm for M-FISH image segmentation. Alan William Dougherty, Jane You |
| 2017 | A kernel-based ensemble classifier for evolving stream of trees with double concept drifting reaction. Valerio Grossi, Alessandro Sperduti |
| 2017 | A language-independent hybrid approach for multi-word expression extraction. Yinghong Liang, Hongye Tan, Hui Li, Zhigang Wang, Wenming Gui |
| 2017 | A large-scale multi-pose 3D-RGB object database. Fabian Sachara, Finn Handmann, Nico Cremer, Thomas Kopinski, Alexander Gepperth, Uwe Handmann |
| 2017 | A learning based approach for social force model parameter estimation. Zhiqiang Wan, Xuemin Hu, Haibo He, Yi Guo |
| 2017 | A low-dimensional vector representation for words using an extreme learning machine. Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse |
| 2017 | A method for intelligent support to medical diagnosis in emergency cardiac care. Luis A. Souto Maior Neto, Robson Pequeno, Carlos de Almeida, Katia Elizabete Galdino, Fabricia Martins, Antonio V. de Moura |
| 2017 | A mixture of multiple linear classifiers with sample weight and manifold regularization. Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu |
| 2017 | A model based search method for prediction in model-free Markov decision process. Ajin George Joseph, Shalabh Bhatnagar |
| 2017 | A model of extended paragraph vector for document categorization and trend analysis. Pengfei Liu, King Keung Wu, Helen M. Meng |
| 2017 | A multi-agent metaheuristic hybridization to the automatic design of ensemble systems. Antonino Feitosa Neto, Anne M. P. Canuto, João C. Xavier, Cephas A. S. Barreto |
| 2017 | A multi-object optimization model of electricity fee payment site selection based on multiple payment methods. Xinyi Zhang, Guotao Hui, Qiang Gao, Xiaoya Ren, Bowen Zhou, Dongsheng Yang, Yingjiao Bi |
| 2017 | A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine. Weite Li, Jinglu Hu |
| 2017 | A multistage collaborative filtering method for fall detection. Tao Xie, Yiqiang Chen, Lisha Hu, Chenlong Gao, Chunyu Hu, Jianfei Shen |
| 2017 | A neuro-based network for on-line topological map building and dynamic path planning. Wei Hong Chin, Azhar Aulia Saputra, Naoyuki Kubota |
| 2017 | A neuron-output-significant-index-based self-organization pruning algorithm for S-LINN. Lizhen Dai, Gang Yang, Hui Yang, Rongxiu Lu |
| 2017 | A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection. Hongmei He, Tim Watson, Carsten Maple, Jörn Mehnen, Ashutosh Tiwari |
| 2017 | A novel clustering oriented closeness measure based on neighborhood chain. Shaoyi Liang, Deqiang Han, Lei Zhang, Qinke Peng |
| 2017 | A novel constructive algorithm for CANet. Danilo Cesar Pereira, Bruno J. T. Fernandes |
| 2017 | A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone |
| 2017 | A novel gene network model based on nonlinear dynamics of asynchronous cellular automaton. Ryota Araki, Hiroyuki Torikai, Takuya Yoshimoto |
| 2017 | A novel machine learning framework for phenotype prediction based on genome-wide DNA methylation data. Vinay Vittal Karagod, Kaushik Sinha |
| 2017 | A novel stacked denoising autoencoder with swarm intelligence optimization for stock index prediction. Jiaxi Li, Guang Liu, Henry Wing Fung Yeung, Junfu Yin, Yuk Ying Chung, Xiaoming Chen |
| 2017 | A partial labeling framework for multi-class imbalanced streaming data. Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi |
| 2017 | A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanence. Ernest Fokoué, Lakshmi Ravi, Dhireesha Kudithipudi |
| 2017 | A power-efficient biomimetic intra-branch dendritic adder. Pezhman Mamdouh, Alice C. Parker |
| 2017 | A quotient gradient method to train artificial neural networks. Hamid Khodabandehlou, Mohammad Sami Fadali |
| 2017 | A randomized neural network for data streams. Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim |
| 2017 | A recurrent neural network based Schaeffer gesture recognition system. Sergiu Oprea, Alberto Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla |
| 2017 | A robust adaptive stochastic gradient method for deep learning. Çaglar Gülçehre, Jose Sotelo, Marcin Moczulski, Yoshua Bengio |
| 2017 | A robust method for the interpretation of genomic data. Jade Hind, Abir Jaafar Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Casimiro Aday Curbelo Montañez, Paulo J. G. Lisboa |
| 2017 | A sandpile model for reliable actor-critic reinforcement learning. Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang |
| 2017 | A self-driving robot using deep convolutional neural networks on neuromorphic hardware. Tiffany Hwu, Jacob Isbell, Nicolas Oros, Jeffrey L. Krichmar |
| 2017 | A self-enforcing neural network as decision support system for air traffic control based on probabilistic weather forecasts. Christina Klüver, Jürgen Klüver, Dirk Zinkhan |
| 2017 | A self-organizing map-based method for multi-label classification. Gustavo G. Colombini, Iuri Bonna M. de Abreu, Ricardo Cerri |
| 2017 | A self-organizing model for affective memory. Pablo V. A. Barros, Stefan Wermter |
| 2017 | A sequential simplex algorithm for automatic data and center selecting radial basis functions. Xiaofeng Ma, Tomojit Ghosh, Michael Kirby |
| 2017 | A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning. Aditya Shukla, Vinay Kumar, Udayan Ganguly |
| 2017 | A spectral clustering approach for online and streaming applications. Antonio Robles-Kelly, Ran Wei |
| 2017 | A streaming ensemble classifier with multi-class imbalance learning for activity recognition. Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford |
| 2017 | A study on visual interpretation of network in network. Satoshi Suzuki, Hayaru Shouno |
| 2017 | A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome. Tara Eicher, Kaushik Sinha |
| 2017 | A synaptic plasticity rule providing a unified approach to supervised and unsupervised learning. Mikhail V. Kiselev |
| 2017 | A theoretical study of the relationship between an ELM network and its subnetworks. Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Shangbo Mao, Guang-Bin Huang |
| 2017 | A two-phase representation based face recognition method with 'random-filtering' virtual samples. Deyan Tang, Siwang Zhou, Wenjuan Yang, Yonghe Liu |
| 2017 | A two-step cascade classification method. Eunelson Jose da Silva Junior, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck, Robert Sabourin, Alessandro L. Koerich |
| 2017 | A web-based tool for segmentation and automatic transcription of historical documents. Fouad Slimane, Andrea Mazzei, Orlin Topalov, Greta Verzi, Frédéric Kaplan |
| 2017 | A weighted-resampling based transfer learning algorithm. Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang |
| 2017 | A wireless steady state visually evoked potential-based BCI eating assistive system. Ching-Yu Chiu, Avinash Kumar Singh, Yu-Kai Wang, Jung-Tai King, Chin-Teng Lin |
| 2017 | ABiRCNN with neural tensor network for answer selection. Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Jia Li |
| 2017 | ADL: Active dictionary learning for sparse representation. Bo Tang, Jin Xu, Haibo He, Hong Man |
| 2017 | Abstraction hierarchy in deep learning neural networks. Roman Ilin, Thomas Watson, Robert Kozma |
| 2017 | Accelerating convolutional neural networks by group-wise 2D-filter pruning. Niange Yu, Shi Qiu, Xiaolin Hu, Jianmin Li |
| 2017 | Accurate classification of immunomodulatory RNA sequences. Hugo A. Guillen-Ramirez, José D. Colbes, Carlos A. Brizuela, Israel M. Martínez-Pérez |
| 2017 | Acoustic novelty detection with adversarial autoencoders. Emanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza |
| 2017 | Action unit selective feature maps in deep networks for facial expression recognition. Yuqian Zhou, Bertram E. Shi |
| 2017 | Actions as contexts. Xiang Wu, Juyang Weng |
| 2017 | Active disturbance rejection control based on differential neural networks. Iván Salgado, Manuel Mera, Isaac Chairez |
| 2017 | Adaptive blocked Gibbs sampling for inference in probabilistic graphical models. Mohammad Maminur Islam, Mohammad Khan Al Farabi, Deepak Venugopal |
| 2017 | Adaptive density estimation based on self-organizing incremental neural network using Gaussian process. Xiaoyu Wang, Osamu Hasegawa |
| 2017 | Adaptive filtering based on extended kernel recursive maximum correntropy. Shengyang Luan, Tianshuang Qiu, José C. Príncipe |
| 2017 | Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors. Roozbeh Razavi-Far, Mehrdad Saif, Vasile Palade, Enrico Zio |
| 2017 | Adaptive learning based driving episode description on category maps. Hirokazu Madokoro, Kazuhito Sato, Kazuhisa Nakasho, Nobuhiro Shimoi |
| 2017 | Adaptive learning method of recurrent temporal deep belief network to analyze time series data. Takumi Ichimura, Shin Kamada |
| 2017 | Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies. Zhichao Jin, Lili Guo, Daqi Gao |
| 2017 | Adversarial learning games with deep learning models. Aneesh Sreevallabh Chivukula, Wei Liu |
| 2017 | Alleviating overfitting for polysemous words for word representation estimation using lexicons. Yuanzhi Ke, Masafumi Hagiwara |
| 2017 | An FPGA distributed implementation model for embedded SOM with on-line learning. Miguel Angelo de Abreu de Sousa, Emilio Del-Moral-Hernandez |
| 2017 | An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites. Johannes Schemmel, Laura Kriener, Paul Müller, Karlheinz Meier |
| 2017 | An algorithm for automated segmentation for bleeding detection in endoscopic images. Eva Tuba, Milan Tuba, Raka Jovanovic |
| 2017 | An alternative approach for binary and categorical self-organizing maps. Alessandra Santana, Alessandra Marli M. Morais, Marcos G. Quiles |
| 2017 | An analysis of factors predicting memory loss in Alzheimer's disease prevention. Mingzhao Hu, Yifei Zhang, N. Maritza Dowling |
| 2017 | An efficient semi-supervised SVM for anomaly detection. Paul Montague, Junae Kim |
| 2017 | An evolutionary method for creating ensembles with adaptive size neural networks for predicting hourly solar irradiance. Raka Jovanovic, Luis M. Pomares, Yasir E. Mohieldeen, Daniel Perez-Astudillo, Dunia Bachour |
| 2017 | An exploratory analysis targeting diagnostic classification of AAC app usage patterns. Adham Atyabi, Beibin Li, Amy Yeo-jin Ahn, Minah Kim, Erin Barney, Frederick Shic |
| 2017 | An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang |
| 2017 | An inexpensive flying robot design for embodied robotics research. Chelsea Sabo, Esin Yavuz, Alex Cope, Kevin Gumey, Eleni Vasilaki, Thomas Nowotny, James A. R. Marshall |
| 2017 | An infinite classification RBM model for radar HRRP recognition. Xuan Peng, Xunzhang Gao, Xiang Li |
| 2017 | An intelligent learning-based watermarking scheme for outsourced biomedical time series data. Trung Duy Pham, Dat Tran, Wanli Ma |
| 2017 | An investigation of high-resolution modeling units of deep neural networks for acoustic scene classification. Xiao Bao, Tian Gao, Jun Du, Li-Rong Dai |
| 2017 | An investigation of the hoeffding adaptive tree for the problem of network intrusion detection. Diego Guarnieri Correa, Fabrício Enembreck, Carlos N. Silla |
| 2017 | An open-source framework for the interactive exploration of Big Data: Applications in understanding health care. A. Ravishankar Rao, Daniel J. B. Clarke |
| 2017 | An output-based knowledge transfer approach and its application in bladder cancer prediction. Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu |
| 2017 | Analog hardware implementation of spike-based delayed feedback reservoir computing system. Jialing Li, Chenyuan Zhao, Kian Hamedani, Yang Yi |
| 2017 | Analysis and optimization of the Vitoantonio Bevilacqua, Marco Riezzo, Antonio Brunetti, Francesco Russo, Benedetta D'Attoma, Giuseppe Riezzo |
| 2017 | Analysis of the influence of diversity in collaborative and multi-view clustering. Jérémie Sublime, Basarab Matei, Pierre-Alexandre Murena |
| 2017 | Analyzing and predicting concurrency bugs in open source systems. Paolo Ciancarini, Francesco Poggi, Davide Rossi, Alberto Sillitti |
| 2017 | Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti |
| 2017 | Are recurrent associative memories good models of decision making? Modelling discrimination decisions from different perspectives. Bradley Harding, Marc-Andre Goulet, Denis Cousineau, Sylvain Chartier |
| 2017 | Aspect-based sentiment analysis using ABPCS model and SVMP Yuxiang Bao, Hua Xu, Fei Jia, Xiaoli Bai |
| 2017 | Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva. Luisa Sánchez Brea, Noelia Barreira-Rodríguez, Antonio Mosquera González, Katharine Evans |
| 2017 | Asymmetric stacked autoencoder. Angshul Majumdar, Aditay Tripathi |
| 2017 | Audio event and scene recognition: A unified approach using strongly and weakly labeled data. Bhiksha Raj, Anurag Kumar |
| 2017 | Audio visual speech recognition with multimodal recurrent neural networks. Weijiang Feng, Naiyang Guan, Yuan Li, Xiang Zhang, Zhigang Luo |
| 2017 | Autoencoder-based feature learning for cyber security applications. Mahmood Yousefi-Azar, Vijay Varadharajan, Len Hamey, Udaya Kiran Tupakula |
| 2017 | BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Kärkkäinen, Jaakko Hollmén |
| 2017 | Balanced self-paced learning with feature corruption. Yazhou Ren, Peng Zhao, Zenglin Xu, Dezhong Yao |
| 2017 | Balancing indoor thermal comfort and energy consumption of air-conditioning and mechanical ventilation systems via sparse Firefly algorithm optimization. Deqing Zhai, Yeng Chai Soh |
| 2017 | Batch reinforcement learning on the industrial benchmark: First experiences. Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing |
| 2017 | Bayesian optimization for conditional hyperparameter spaces. Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin |
| 2017 | Benchmarking the selection of the hidden-layer weights in extreme learning machines. Enrique Romero |
| 2017 | Bias corrected regularization kernel network and its applications. Qiang Wu |
| 2017 | Biologically inspired reinforcement learning for mobile robot collision avoidance. Myung Seok Shim, Peng Li |
| 2017 | Biomorphic modeling of phoneme identification and classification based on an evolving fuzzy-neural network: From hardcomputing to softcomputing. Mario Malcangi, Hao Quan, Philip Grew |
| 2017 | Bounds for off-policy prediction in reinforcement learning. Ajin George Joseph, Shalabh Bhatnagar |
| 2017 | BrainGrid+Workbench: High-performance/high-quality neural simulation. Michael Stiber, Fumitaka Kawasaki, Delmar B. Davis, Hazeline U. Asuncion, Jewel Yun-Hsuan Lee, Destiny Boyer |
| 2017 | Brazil's Bolsa Familia and young adult workers: A parallel RDD approach to large datasets. Aloisio Dourado, Rommel N. Carvalho, Gustavo Cordeiro Galvão Van Erven |
| 2017 | Brewing the first ever automatic memory management utility for SpiNNaker: Real-time garbage collection for STDP simulations. Mantas Mikaitis, David R. Lester |
| 2017 | C. elegans neuromorphic neural network exhibiting undulating locomotion. Nikita Agarwal, Neil Mehta, Alice C. Parker, Karam Ashouri |
| 2017 | CAS-CNN: A deep convolutional neural network for image compression artifact suppression. Lukas Cavigelli, Pascal Hager, Luca Benini |
| 2017 | CPMF: A collective pairwise matrix factorization model for upcoming event recommendation. Chun-Yi Liu, Chuan Zhou, Jia Wu, Hongtao Xie, Yue Hu, Li Guo |
| 2017 | Calcium-modulated supervised spike-timing-dependent plasticity for readout training and sparsification of the liquid state machine. Yingyezhe Jin, Peng Li |
| 2017 | Can a reinforcement learning agent practice before it starts learning? Minwoo Lee, Charles W. Anderson |
| 2017 | Can we explain natural language inference decisions taken with neural networks? Inference rules in distributed representations. Fabio Massimo Zanzotto, Lorenzo Ferrone |
| 2017 | Cellular computational extreme learning machine network based frequency predictions in a power system. Iroshani Jayawardene, Ganesh K. Venayagamoorthy |
| 2017 | Cellular computational generalized neuron network with cooperative PSO for power systems. Md. Ashfaqur Rahman, Yawei Wei, Ganesh Kumar Venayagamoorthy |
| 2017 | ChaLearn looking at people: A review of events and resources. Sergio Escalera, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon |
| 2017 | Class representative autoencoder for low resolution multi-spectral gender classification. Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa |
| 2017 | Class-specific kernel discriminant analysis based on Cholesky decomposition. Alexandros Iosifidis, Moncef Gabbouj |
| 2017 | Class-wise deep dictionary learning. Vanika Singhal, Prerna Khurana, Angshul Majumdar |
| 2017 | Classification based on neuroimaging data by tensor boosting. Bo Zhang, Hua Zhou, Liwei Wang, Chul Sung |
| 2017 | Classification of Android apps and malware using deep neural networks. Robin Nix, Jian Zhang |
| 2017 | Classification of radiology reports using neural attention models. Bonggun Shin, Falgun H. Chokshi, Timothy Lee, Jinho D. Choi |
| 2017 | Classification of sparsely and irregularly sampled time series: A learning in model space approach. Yuan Shen, Peter Tiño, Krasimira Tsaneva-Atanasova |
| 2017 | Classifying commit messages: A case study in resampling techniques. SeyedHamid Shekarforoush, Robert Green, Robert Dyer |
| 2017 | Clickthrough refinement for improved graph ranking. Yu He, Jun Wu, Haishuai Wang |
| 2017 | Clustering by support vector manifold learning. Marcin Orchel |
| 2017 | Cognitive domain ontologies on the TrueNorth neurosynaptic system. Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Scott Douglass |
| 2017 | Cold-start, warm-start and everything in between: An autoencoder based approach to recommendation. Angshul Majumdar, Anant Jain |
| 2017 | Collaborative clustering between different topological partitions. Antoine Lachaud, Nistor Grozavu, Basarab Matei, Younès Bennani |
| 2017 | Collective discovery of brain networks with unknown groups. Xinyue Liu, Xiangnan Kong, Philip S. Yu |
| 2017 | Colorness index strategy for pixel fire segmentation. Bruno Miguel Nogueira de Souza, Jacques Facon, David Menotti |
| 2017 | Comparison of EMD, MEMD and 2T-EMD by analyzing standard artificial signals and EEG. Yao Miao, Jianting Cao |
| 2017 | Comparison of echo state network output layer classification methods on noisy data. Ashley A. Prater |
| 2017 | Comparison of semantic segmentation approaches for horizon/sky line detection. Touqeer Ahmad, Pavel Campr, Martin Cadík, George Bebis |
| 2017 | Complex-valued convolutional neural networks for real-valued image classification. Calin-Adrian Popa |
| 2017 | Complexity science for sleep stage classification from EEG. Takashi Nakamura, Tricia Adjei, Yousef Alqurashi, David Looney, Mary J. Morrell, Danilo P. Mandic |
| 2017 | Compositional neural-network modeling of complex analog circuits. Ramin M. Hasani, Dieter Haerle, Christian F. Baumgartner, Alessio R. Lomuscio, Radu Grosu |
| 2017 | Comprehensive study of features for subject-independent emotion recognition. Adhikari Ashutosh, Ramasamy Savitha, Suresh Sundaram |
| 2017 | Compress-filtering and transfer-expanding of data set for short-term load forecasting. Pan Zeng, Di Wu, Min Jin |
| 2017 | Compressing recurrent neural network with tensor train. Andros Tjandra, Sakriani Sakti, Satoshi Nakamura |
| 2017 | Computational intelligence approach for estimation of vehicle insurance risk level. Kristina Vassiljeva, Aleksei Tepljakov, Eduard Petlenkov, Eduard Netsajev |
| 2017 | Computational paradigms using oscillatory networks based on state-transition devices. Abhinav Parihar, Nikhil Shukla, Matthew Jerry, Suman Datta, Arijit Raychowdhury |
| 2017 | Concept drift learning with alternating learners. Yunwen Xu, Rui Xu, Weizhong Yan, Paul Ardis |
| 2017 | Connecting deep neural networks with symbolic knowledge. Arjun Kumar, Tim Oates |
| 2017 | Connection sparsity versus orbit stability in dynamic binary neural networks. Ryuji Sato, Shunsuke Aoki, Toshimichi Saito |
| 2017 | Constrained LMS for dynamic flow networks. Konstantinos Eftaxias, Clive Cheong Took, Bruno Venturini, David Arscott |
| 2017 | Constrained versus unconstrained learning in generalized recurrent network for image processing. Lasitha Vidyaratne, Mahbubul Alam, John K. Anderson, Khan M. Iftekharuddin |
| 2017 | Context preference-based deep adaptive resonance theory: Integrating user preferences into episodic memory encoding and retrieval. Dick Sigmund, Gyeong-Moon Park, Jong-Hwan Kim |
| 2017 | Convex local sensitive low rank matrix approximation. Chong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-An Yuan, De-Shuang Huang |
| 2017 | Convolution neural network based syntactic and semantic aware paraphrase identification. Xiang Zhang, Wenge Rong, Jingshuang Liu, Chuan Tian, Zhang Xiong |
| 2017 | Convolutional gated recurrent neural network incorporating spatial features for audio tagging. Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley |
| 2017 | Convolutional neural networks with multi-valued neurons. Yuki Kominami, Hideki Ogawa, Kazuyuki Murase |
| 2017 | Convolutional sparse coding on neurosynaptic cognitive system. Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha |
| 2017 | Convolving over time via recurrent connections for sequential weight sharing in neural networks. Jason M. Allred, Kaushik Roy |
| 2017 | Cooperative learning: Decentralized data neural network. Noah Lewis, Sergey M. Plis, Vince D. Calhoun |
| 2017 | Critical clearing time prediction using recurrent neural networks. Komla A. Folly, Paul K. Olulope, Ganesh K. Venayagamoorthy |
| 2017 | Critical echo state network dynamics by means of Fisher information maximization. Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi |
| 2017 | Cross-validated smooth multi-instance learning. Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang |
| 2017 | Data analysis in Weitzenbock space. Stephen R. Marsland, Carole J. Twining |
| 2017 | Data-centric computation mode for convolution in deep neural networks. Peiqi Wang, Zhenyu Liu, Haixia Wang, Dongsheng Wang |
| 2017 | Data-driven study of mouse sleep-stages using Restricted Boltzmann Machines. Vasiliki-Maria Katsageorgiou, Matteo Zanotto, Valter Tucci, Vittorio Murino, Diego Sona |
| 2017 | Deep Boltzmann machines for robust fingerprint spoofing attack detection. Gustavo Botelho de Souza, Daniel F. S. Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João Paulo Papa |
| 2017 | Deep convolutional and recurrent writer. Sadaf Gulshad, Jong-Hwan Kim |
| 2017 | Deep convolutional neural networks for pedestrian detection with skip pooling. Jie Liu, Xingkun Gao, Nianyuan Bao, Jie Tang, Gangshan Wu |
| 2017 | Deep graph node kernels: A convex approach. Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita |
| 2017 | Deep learning and block Go. Shi-Jim Yen, Ching-Nung Lin, Guan-Lun Cheng, Jr-Chang Chen |
| 2017 | Deep learning approach to link weight prediction. Yuchen Hou, Lawrence B. Holder |
| 2017 | Deep learning based frameworks for image super-resolution and noise-resilient super-resolution. Manoj Sharma, Santanu Chaudhury, Brejesh Lall |
| 2017 | Deep learning based image description generation. Philip Kinghorn, Li Zhang, Ling Shao |
| 2017 | Deep learning based nonlinear principal component analysis for industrial process fault detection. Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris |
| 2017 | Deep learning inspired prognostics scheme for applications generating big data. Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake |
| 2017 | Deep learning of texture and structural features for multiclass Alzheimer's disease classification. Chester V. Dolph, Mahbubul Alam, Zeina A. Shboul, Manar D. Samad, Khan M. Iftekharuddin |
| 2017 | Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment. David Fagan, Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill |
| 2017 | Deep neural network bottleneck features for bird species verification. Jinming Zhao, Yanyan Xu, Dengfeng Ke, Kaile Su |
| 2017 | Deep neural networks for kitchen activity recognition. Juarez Monteiro, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi |
| 2017 | Deep recurrent music writer: Memory-enhanced variational autoencoder-based musical score composition and an objective measure. Romain Sabathe, Eduardo Coutinho, Björn W. Schuller |
| 2017 | Deep reward shaping from demonstrations. Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne |
| 2017 | DeepRecon: Dynamically reconfigurable architecture for accelerating deep neural networks. Tayyar Rzayev, Saber Moradi, David H. Albonesi, Rajit Manohar |
| 2017 | Deeply-supervised CNN for prostate segmentation. Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan |
| 2017 | Demystifying Numenta anomaly benchmark. Nidhi Singh, Craig Olinsky |
| 2017 | Dendrite Ellipsoidal Neuron. Fernando Arce, Erik Zamora, Humberto Sossa |
| 2017 | Design of a hierarchical-clustering CMAC-PID controller. Yuntao Liao, Kazushige Koiwai, Toru Yamamoto |
| 2017 | Design of a time delay reservoir using stochastic logic: A feasibility study. Cory E. Merkel |
| 2017 | Design of an explainable machine learning challenge for video interviews. Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Júlio C. S. Jacques Júnior, Meysam Madadi, Xavier Baró, Stéphane Ayache, Evelyne Viegas, Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier |
| 2017 | Designing an adaptive attention mechanism for relation classification. Pengda Qin, Weiran Xu, Jun Guo |
| 2017 | Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation. Cesare Alippi, Viviana D'Alto, Mirko Falchetto, Danilo Pau, Manuel Roveri |
| 2017 | Detection of motorcyclists without helmet in videos using convolutional neural network. Chalavadi Vishnu, Dinesh Singh, C. Krishna Mohan, Ch. Sobhan Babu |
| 2017 | Deteriorating neural connectivity of the hippocampal episodic memory network in mTBI patients: A cohort study. Hao Yan, Chuanzhu Sun, Xiaocui Wang, Lijun Bai |
| 2017 | Dictionary learning with equiprobable matching pursuit. Fredrik Sandin, Sergio Martin del Campo |
| 2017 | Distance metric learning with eigenvalue fine tuning. Wenquan Wang, Ya Zhang, Jinglu Hu |
| 2017 | Domain adaptation of POS taggers without handcrafted features. Irving Muller Rodrigues, Eraldo R. Fernandes, Cícero Nogueira dos Santos |
| 2017 | DropIn: Making reservoir computing neural networks robust to missing inputs by dropout. Davide Bacciu, Francesco Crecchi, Davide Morelli |
| 2017 | Dynamic adaptation of user migration policies in distributed virtual environments. David Vengerov |
| 2017 | Dynamic control using feedforward networks with adaptive delay and facilitating neural dynamics. Khuong N. Nguyen, Yoonsuck Choe |
| 2017 | Dynamic event monitoring using unsupervised feature learning towards smart grid big data. Yufei Tang, Jun Yang |
| 2017 | Dynamic island model based on spectral clustering in genetic algorithm. Qinxue Meng, Jia Wu, John T. Ellis, Paul J. Kennedy |
| 2017 | EEG classification based on sparse representation. Hongwei Mo, Chaomin Luo, Gene Eu Jan |
| 2017 | EMNIST: Extending MNIST to handwritten letters. Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik |
| 2017 | Early stabilizing feature importance for TensorFlow deep neural networks. Jeff Heaton, Steven McElwee, James B. Fraley, James Cannady |
| 2017 | Efficient global network learning from local reconstructions. Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker |
| 2017 | Efficient k-means++ with random projection. Jan Y. K. Chan, Alex Po Leung |
| 2017 | Emergence of tool construction in an articulated limb controlled by evolved neural circuits. Randall Reams, Yoonsuck Choe |
| 2017 | Emotional state estimation using a modified gradient-based neural architecture with weighted estimates. Soheil Keshmiri, Hidenobu Sumioka, Junya Nakanishi, Hiroshi Ishiguro |
| 2017 | Empirical analysis of the necessary and sufficient conditions of the echo state property. Sebastián Basterrech |
| 2017 | Empowering convolutional networks for malware classification and analysis. Bojan Kolosnjaji, Ghadir Eraisha, George D. Webster, Apostolis Zarras, Claudia Eckert |
| 2017 | Emulation of finite state automata with networks of synfire rings. Jérémie Cabessa, Paolo Masulli |
| 2017 | Enabling bio-plausible multi-level STDP using CMOS neurons with dendrites and bistable RRAMs. Xinyu Wu, Vishal Saxena |
| 2017 | End-to-end learning of brain tissue segmentation from imperfect labeling. Alex Fedorov, Jeremy Johnson, Eswar Damaraju, Alexei Ozerin, Vince D. Calhoun, Sergey M. Plis |
| 2017 | Enhanced detection of movement onset in EEG through deep oversampling. Noura Al Moubayed, Bashar Awwad Shiekh Hasan, Andrew Stephen McGough |
| 2017 | Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, Erik Cambria |
| 2017 | Ensemble of classifiers applied to motor imagery task classification for BCI applications. Alimed Celecia Ramos, René González Hernandez, Marley M. B. R. Vellasco, Pedro C. G. da S. Vellasco |
| 2017 | EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks. Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy |
| 2017 | Evaluating deep learning in chum prediction for everything-as-a-service in the cloud. Chul Sung, Chunhui Y. Higgins, Bo Zhang, Yoonsuck Choe |
| 2017 | Evaluating hopfield-network-based linear solvers for hardware constrained neural substrates. Rohit Shukla, Erik Jorgensen, Mikko H. Lipasti |
| 2017 | Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. Andrii Shalaginov |
| 2017 | Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering. Mahesh Mohan, Claire Monteleoni |
| 2017 | Exploiting the use of recurrent neural networks for driver behavior profiling. Eduardo Carvalho, Bruno V. Ferreira, Jair S. Ferreira Jr., Cleidson R. B. de Souza, Hanna V. Carvalho, Yoshihiko Suhara, Alex 'Sandy' Pentland, Gustavo Pessin |
| 2017 | Exploring optimized accelerator design for binarized convolutional neural networks. Kodai Ueyoshi, Kota Ando, Kentaro Orimo, Masayuki Ikebe, Tetsuya Asai, Masato Motomura |
| 2017 | Exploring quantization error to improve human action classification. Raquel Almeida, Zenilton Kleber Gonçalves do Patrocínio Jr., Silvio Jamil Ferzoli Guimarães |
| 2017 | Exploring the consequences of distributed feature selection in DNA microarray data. Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown |
| 2017 | Exponential-weight multilayer perceptron. Farnood Merrikh-Bayat, Xinjie Guo, Dmitri B. Strukov |
| 2017 | Extreme learning machine as a generalizable classification engine. Abdullah M. Zyarah, Dhireesha Kudithipudi |
| 2017 | Extreme learning machines to approximate low dimensional spaces for helicopter load signal and fatigue life estimation. Julio J. Valdés, Catherine Cheung, Alejandro Lehman Rubio |
| 2017 | Extremely parallel memristor crossbar architecture for convolutional neural network implementation. Chris Yakopcic, Md. Zahangir Alom, Tarek M. Taha |
| 2017 | FEMaR: A finite element machine for regression problems. Danillo Roberto Pereira, João P. Papa, André N. de Souza |
| 2017 | FNN approximation-based adaptive control for suppressing chatter in nonlinear milling with piezo-actuators. Xiaoli Liu, Chun-Yi Su |
| 2017 | Factorization for projective and metric reconstruction via truncated nuclear norm. Yang Lin, Li Yang, Zhouchen Lin, Tong Lin, Hongbin Zha |
| 2017 | Fast deep neural network based on intelligent dropout and layer skipping. Asma Eladel, Ridha Ejbali, Mourad Zaied, Chokri Ben Amar |
| 2017 | Fast diagnosis of bowel activities. Yi Huang, Insu Song, Priyanka Rana, Guan Koh |
| 2017 | Fast digital watermarking of uncompressed colored images using bidirectional extreme learning machine. Ankit Rajpal, Anurag Mishra, Rajni Bala |
| 2017 | Fast feedforward non-parametric deep learning network with automatic feature extraction. Plamen Angelov, Xiaowei Gu, José C. Príncipe |
| 2017 | Fast on-line kernel density estimation for active object localization. Anthony D. Rhodes, Max H. Quinn, Melanie Mitchell |
| 2017 | Fast, accurate spectral clustering using locally linear landmarks. Max Vladymyrov, Miguel Á. Carreira-Perpiñán |
| 2017 | Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes. Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou |
| 2017 | Feature importance calculation and protein quality assessment on the decoy discrimination problem. Edwin German Maldonado Tavara, Marley M. B. R. Vellasco, Bruno A. C. Horta, Fábio L. Custódio |
| 2017 | Feature selection for biometrie recognition based on electrocardiogram signals. Felipe Gustavo Silva Teodoro, Sarajane Marques Peres, Clodoaldo Ap. M. Lima |
| 2017 | Feature selection using multiple auto-encoders. Xinyu Guo, Ali A. Minai, Long J. Lu |
| 2017 | First-order causal process for causal modelling with instantaneous and cross-temporal relations. Fujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu |
| 2017 | Fitness with diversity information for selection of evolutionary algorithms. Yang Li, Chengjun Li, Gang Liu, Wei Long |
| 2017 | Flight dynamics modeling and recognition using finite state machine for automatic insect recognition. Kan Li, José C. Príncipe |
| 2017 | Following the leader using a tracking system based on pre-trained deep neural networks. Filipe Wall Mutz, Vinicius Cardoso, Thomas Teixeira, Luan F. R. Jesus, Michael André Golçalves, Ranik Guidolini, Josias Oliveira, Claudine Badue, Alberto Ferreira de Souza |
| 2017 | From CPU to FPGA - Acceleration of self-organizing maps for data mining. Jan Lachmair, Thomas Mieth, René Griessl, Jens Hagemeyer, Mario Porrmann |
| 2017 | From ranking and clustering of evolving networks to patent citation analysis. Hayley Beltz, Anikó Fülöp, Raoul R. Wadhwa, Péter Érdi |
| 2017 | Fusing attention with visual question answering. Ryan Burt, Mihael Cudic, José C. Príncipe |
| 2017 | Fuzzy controlled VSC of battery storage system for seamless transition of microgrid between grid-tied and islanded mode. Chinmay Shah, Mehdi Abolhassani, Heidar Malki |
| 2017 | FxpNet: Training a deep convolutional neural network in fixed-point representation. Xi Chen, Xiaolin Hu, Hucheng Zhou, Ningyi Xu |
| 2017 | Gain confidence of a neural network used for model based control. Steve Piche, Jason Grimm |
| 2017 | Generalized mixture representations and combinations for additive fuzzy systems. Bart Kosko |
| 2017 | Generalized model of biological neural networks: Progressive operational perceptrons. Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj |
| 2017 | Generative mixture of networks. Ershad Banijamali, Ali Ghodsi, Pascal Poupart |
| 2017 | Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification. Javier Echanobe, Inés del Campo, M. Victoria Martínez, Koldo Basterretxea |
| 2017 | Global asymptotic stability for matrix-valued recurrent neural networks with time delays. Calin-Adrian Popa |
| 2017 | Graph-boosted convolutional neural networks for semantic segmentation. Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen |
| 2017 | Grassmann matching kernels for scene representation and recognition. Bisser Raytchev, M. Koujiba, Toru Tamaki, Kazufumi Kaneda |
| 2017 | Groupwise Bayesian dimension reduction. Bo Zhang, Liwei Wang, Song Yan, Chul Sung |
| 2017 | Guide-wire detection using region proposal network for X-ray image-guided navigation. Li Wang, Xiaoliang Xie, Gui-Bin Bian, Zeng-Guang Hou, Xiao-Ran Cheng, Pusit Prasong |
| 2017 | HJB equation based learning scheme for neural networks. Vipul Arora, Laxmidhar Behera, Tharun Kumar Reddy, Ajay Pratap Yadav |
| 2017 | HMM-based gesture recognition system using kinect sensor for improvised human-computer interaction. Sriparna Saha, Rimita Lahiri, Amit Konar, Bonny Banerjee, Atulya K. Nagar |
| 2017 | Hamiltonian-driven adaptive dynamic programming for nonlinear discrete-time dynamic systems. Yongliang Yang, Donald Wunsch, Yixin Yin |
| 2017 | Haptic material classification with a multi-channel neural network. Matthias Kerzel, Moaaz Ali, Hwei Geok Ng, Stefan Wermter |
| 2017 | Hardware implementation of echo state networks using memristor double crossbar arrays. Amr M. Hassan, Hai Helen Li, Yiran Chen |
| 2017 | Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang |
| 2017 | Helicopter load signal and fatigue life estimation using low dimensional spaces. Catherine Cheung, Julio J. Valdés, Alejandro Lehman Rubio |
| 2017 | Hexpo: A vanishing-proof activation function. Shumin Kong, Masahiro Takatsuka |
| 2017 | How systematic is the environmental sustainability index 2002 as a tool for grouping countries in terms of their environmental sustainability? Tatiana Tambouratzis, Nikos Hatziefthimiou |
| 2017 | How to get pavement distress detection ready for deep learning? A systematic approach. Markus Eisenbach, Ronny Stricker, Daniel Seichter, Karl Amende, Klaus Debes, Maximilian Sesselmann, Dirk Ebersbach, Ulrike Stoeckert, Horst-Michael Gross |
| 2017 | Human action recognition using transfer learning with deep representations. Allah Bux Sargano, Xiaofeng Wang, Plamen Angelov, Zulfiqar Habib |
| 2017 | Hyperarticulation aids learning of new vowels in a developmental speech acquisition model. Anja Kristina Philippsen, René Felix Reinhart, Britta Wrede, Petra Wagner |
| 2017 | Hyperellipsoidal neuron. Carlos Villaseñor, Nancy Arana-Daniel, Alma Y. Alanis, Carlos López-Franco |
| 2017 | INXS: Bridging the throughput and energy gap for spiking neural networks. Surya Narayanan, Ali Shafiee, Rajeev Balasubramonian |
| 2017 | Identifying spatial relations in images using convolutional neural networks. Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates |
| 2017 | Image aesthetics assessment using Deep Chatterjee's machine. Zhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane M. Beck, Thomas S. Huang |
| 2017 | Image completion with global structure and weighted nuclear norm regularization. Mingli Zhang, Christian Desrosiers |
| 2017 | Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map. Satoru Ishikawa, Jorma Laaksonen, Juha Karhunen |
| 2017 | Image segmentation with stochastic magnetic tunnel junctions and spiking neurons. Chamika M. Liyanagedera, Parami Wijesinghe, Akhilesh Jaiswal, Kaushik Roy |
| 2017 | Impact of biased mislabeling on learning with deep networks. Farzaneh Sheikhnezhad Fard, Paul Hollensen, Stuart McIlroy, Thomas Trappenberg |
| 2017 | Impact of struck-out text on writer identification. Chandranath Adak, Bidyut B. Chaudhuri, Michael Blumenstein |
| 2017 | Improved maximum inner product search with better theoretical guarantees. Omid Keivani, Kaushik Sinha, Parikshit Ram |
| 2017 | Improved performance of face recognition using CNN with constrained triplet loss layer. Henry Wing Fung Yeung, Jiaxi Li, Yuk Ying Chung |
| 2017 | Improved speaker recognition system for stressed speech using deep neural networks. Sri Harsha Dumpala, Sunil Kumar Kopparapu |
| 2017 | Improvement of learning for CNN with ReLU activation by sparse regularization. Hidenori Ide, Takio Kurita |
| 2017 | Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework. Xiao Huang, Wei Wu, Peijie Yin, Hong Qiao |
| 2017 | Improving load forecasting based on deep learning and K-shape clustering. Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie |
| 2017 | Improving point-based AIS trajectory classification with partition-wise gated recurrent units. Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin |
| 2017 | Improving recommendation accuracy using networks of substitutable and complementary products. Tong Zhao, Julian J. McAuley, Mengya Li, Irwin King |
| 2017 | Improving the performance of neural networks in regression tasks using drawering. Konrad Zolna |
| 2017 | In vivo classification of inflammation in blood vessels with convolutional neural networks. Stuart McIlroy, Yoshimasa Kubo, Thomas Trappenberg, James Toguri, Christian Lehmann |
| 2017 | Incorporating instance correlations in multi-label classification via label-space. Iuri Bonna M. de Abreu, Rafael Gomes Mantovani, Ricardo Cerri |
| 2017 | Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM. Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang |
| 2017 | Incorporating message embedding into co-factor matrix factorization for retweeting prediction. Can Wang, Qiudan Li, Lei Wang, Daniel Dajun Zeng |
| 2017 | Incremental extraction of high-dimensional equivalence structures. Seiya Satoh, Hiroshi Yamakawa |
| 2017 | Incremental learning with the minimum description length principle. Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles |
| 2017 | Information and knowing when to forget it. Rohit Sharma, Ognjen Arandjelovic |
| 2017 | Information-theoretic dataset selection for fast kernel learning. António R. C. Paiva |
| 2017 | Integrating distance metric learning and cluster-level constraints in semi-supervised clustering. Bruno Magalhães Nogueira, Yuri Karan Benevides Tomas, Ricardo Marcondes Marcacini |
| 2017 | Integrating extra knowledge into word embedding models for biomedical NLP tasks. Yuan Ling, Yuan An, Mengwen Liu, Sadid A. Hasan, Ye-tian Fan, Xiaohua Hu |
| 2017 | Integrative computing method for the prediction of zinc-binding sites in proteins. Hui Li, Dechang Pi, Yinghong Liang, Chuanming Chen, Yongzhi Liu |
| 2017 | Interpretability of artificial hydrocarbon networks for breast cancer classification. Hiram Ponce-Espinosa, María de Lourdes Martínez-Villaseñor |
| 2017 | Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy. Bruno A. Pimentel, Marcilio C. P. de Souto, Renata M. C. R. de Souza |
| 2017 | Investigating the effects of class imbalance in learning the claim authorization process in the Brazilian health care market. Jackson Cunha Cassimiro, André Macedo Santana, Pedro de A. Santos Neto, Ricardo de Andrade Lira Rabelo |
| 2017 | Investigating the possibility of applying EEG lossy compression to EEG-based user authentication. Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran |
| 2017 | Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors. Oliver Wallscheid, Wilhelm Kirchgässner, Joachim Böcker |
| 2017 | It's about time! Modeling customer behaviors as the secretary problem in daily deal websites. Tong Zhao, Mandy Hu, Razieh Rahimi, Irwin King |
| 2017 | Joint optimization of feature transform and instance weighting for domain adaptation. Masato Ishii, Atsushi Sato |
| 2017 | Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro |
| 2017 | Kernel group sparse representation based classifier for multimodal biometrics. Gaurav Goswami, Richa Singh, Mayank Vatsa, Angshul Majumdar |
| 2017 | Knowledge-based document embedding for cross-domain text classification. Yiming Li, Baogang Wei, Liang Yao, Hui Chen, Zherong Li |
| 2017 | LEVELIW: Learning extreme verification latency with importance weighting. Muhammad Umer, Robi Polikar, Christopher Frederickson |
| 2017 | LSTM with working memory. Andrew Pulver, Siwei Lyu |
| 2017 | Label confidence based AdaBoost algorithm. Zhe Luo, Xin Dang, Yixin Chen |
| 2017 | Label-noise-tolerant classification for streaming data. Benoît Frénay, Barbara Hammer |
| 2017 | Large-scale image classification using fast SVM with deep quasi-linear kernel. Peifeng Liang, Weite Li, Donghang Liu, Jinglu Hu |
| 2017 | Latent topic ensemble learning for hospital readmission cost reduction. Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu |
| 2017 | Learning deep representations with diode loss for quantization-based similarity search. Shicong Liu, Hongtao Lu |
| 2017 | Learning deterministic spiking neuron feedback controllers. Tae Seung Kang, Arunava Banerjee |
| 2017 | Learning from semantically dependent multi-tasks. Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe |
| 2017 | Learning multisensory neural controllers for robot arm tracking. Lakshitha P. Wijesinghe, Marco Antonelli, Jochen Triesch, Bertram E. Shi |
| 2017 | Learning of binocular fixations using anomaly detection with deep reinforcement learning. François De La Bourdonnaye, Céline Teulière, Thierry Chateau, Jochen Triesch |
| 2017 | Learning to reproduce stochastic time series using stochastic LSTM. Sadaf Gulshad, Dick Sigmund, Jong-Hwan Kim |
| 2017 | Learning user distance from multiple social networks. Yufei Liu, Dechang Pi, Lin Cui |
| 2017 | Leveraging deep visual features for content-based movie recommender systems. Ralph Jose Rassweiler Filho, Jonatas Wehrmann, Rodrigo C. Barros |
| 2017 | Linear dynamical based models for sequential domains. Luca Pasa, Alessandro Sperduti, Peter Tiño |
| 2017 | Link prediction based hybrid recommendation system using user-page preference graphs. Mohammad Amir Sharif, Vijay V. Raghavan |
| 2017 | Link prediction by exploiting network formation games in exchangeable graphs. Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu |
| 2017 | Local short term electricity load forecasting: Automatic approaches. The-Hien Dang-Ha, Filippo Maria Bianchi, Roland Olsson |
| 2017 | Localized sampling for hospital re-admission prediction with imbalanced sample distributions. Xingquan Zhu, Jose Hurtado, Haicheng Tao |
| 2017 | LonchaNet: A sliced-based CNN architecture for real-time 3D object recognition. Francisco Gomez-Donoso, Alberto Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla |
| 2017 | Long-range navigation by path integration and decoding of grid cells in a neural network. Vegard Edvardsen |
| 2017 | Low and high level classification using stacking. Thiago Ferreira Covoes, Liang Zhao |
| 2017 | Low n-rank tensor log-linear models for classification. Caleb Nelson, Yulo Leake, Brian Hutchinson |
| 2017 | MLMVN as an intelligent image filter. Igor N. Aizenberg, Alan Ordukhanov, Fionntan O'Boy |
| 2017 | Machine learning approaches for the prediction of obesity using publicly available genetic profiles. Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Jade Hind, Naeem Radi |
| 2017 | Machine learning approaches to predict learning outcomes in Massive open online courses. Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn, Naeem Radi |
| 2017 | Machine learning models to search relevant genetic signatures in clinical context. Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Maroño |
| 2017 | Manifold learning with iterative dimensionality photo-projection. Daniel Lückehe, Stefan Oehmcke, Oliver Kramer |
| 2017 | Margin maximization for robust classification using deep learning. Alexander Matyasko, Lap-Pui Chau |
| 2017 | Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization. Andreas C. Neocleous, Costas Neocleous, Christos N. Schizas, Michael Biehl, Nicolai Petkov |
| 2017 | Matching video net: Memory-based embedding for video action recognition. Daesik Kim, Myunggi Lee, Nojun Kwak |
| 2017 | Matrix variate RBM model with Gaussian distributions. Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin |
| 2017 | Maximizing memory capacity of echo state networks with orthogonalized reservoirs. Igor Farkas, Peter Gergel |
| 2017 | Metastability of cortical BOLD signals in maturation and senescence. Shruti Naik, Oota Subbareddy, Arpan Banerjee, Dipanjan Roy, Raju S. Bapi |
| 2017 | Methods for high resolution programming in lithuim niobate memristors for neuromorphic hardware. Chris Yakopcic, Shu Wang, Weisong Wang, Eunsung Shin, Guru Subramanyam, Tarek M. Taha |
| 2017 | Metric learning for multi-instance classification with collapsed bags. Dewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian |
| 2017 | MiPAL: Multiple-instance passive aggressive learning for identification of attention deficit hyperactive disorder from fMRI. Prabhash Kumarasinghe, Suresh Sundaram, Vigneshwaran Subbaraju |
| 2017 | Microcalcification detection using Self Organizing Neuro Glia Network classifier. Shems Bertegi, Kirmene Marzouki |
| 2017 | Mini-batch spectral clustering. Yufei Han, Maurizio Filippone |
| 2017 | Mining E-commercial data: A text-rich heterogeneous network embedding approach. Weizheng Chen, Chi Liu, Jun Yin, Hongfei Yan, Yan Zhang |
| 2017 | Mining Hubble Space Telescope images. Alex Hocking, Yi Sun, James E. Geach, Neil Davey |
| 2017 | Mining unstructured processes: An exploratory study on a distance learning domain. Ana Rocío Cárdenas Maita, Marcelo Fantinato, Sarajane Marques Peres, Lucinéia Heloisa Thom, Patrick C. K. Hung |
| 2017 | Mitigating fooling with competitive overcomplete output layer neural networks. Navid Kardan, Kenneth O. Stanley |
| 2017 | Mobile robot control based on hybrid neuro-fuzzy value gradient reinforcement learning. Seaar Al Dabooni, Donald Wunsch |
| 2017 | Model-agnostic nonconformity functions for conformal classification. Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström |
| 2017 | Modeling direction selective visual neural network with ON and OFF pathways for extracting motion cues from cluttered background. Shigang Yue, Qinbing Fu |
| 2017 | Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network models. Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano, Shigeru Kubota, Shigeo Sato |
| 2017 | Monthly energy consumption forecast: A deep learning approach. Rodrigo Ferreira Berriel, Andre Teixeira Lopes, Alexandre Rodrigues, Flávio Miguel Varejão, Thiago Oliveira-Santos |
| 2017 | Multi-Bernoulli filter for group object tracking and its Gaussian-Wishart implementation. Dmitry Kangin, Garik Markarian |
| 2017 | Multi-class active learning: A hybrid informative and representative criterion inspired approach. Zengmao Wang, Bo Du, Lefei Zhang |
| 2017 | Multi-label feature selection algorithm based on label pairwise ranking comparison transformation. Haotian Xu, Lingyu Xu |
| 2017 | Multi-layer neural networks for quality of service oriented server-state classification in cloud servers. Yonghua Yin, Lan Wang, Erol Gelenbe |
| 2017 | Multi-layer unsupervised learning in a spiking convolutional neural network. Amirhossein Tavanaei, Anthony S. Maida |
| 2017 | Multi-robot cooperative planning by consensus Q-learning. Arup Kumar Sadhu, Amit Konar, Bonny Banerjee, Atulya K. Nagar |
| 2017 | Multi-sense based neural machine translation. Zhen Yang, Wei Chen, Feng Wang, Bo Xu |
| 2017 | Multi-view LS-SVM regression for black-box temperature prediction in weather forecasting. Lynn Houthuys, Zahra Karevan, Johan A. K. Suykens |
| 2017 | Multi-view hard c-means with automated weighting of views and variables. Rodrigo C. de Araujo, Francisco de A. T. de Carvalho, Yves Lechevallier |
| 2017 | Multi-view unsupervised feature selection by cross-diffused matrix alignment. Xiaokai Wei, Bokai Cao, Philip S. Yu |
| 2017 | Multiscale Hebbian neural network for cyber threat detection. Sana Siddiqui, Muhammad Salman Khan, Ken Ferens |
| 2017 | Music recommendation via heterogeneous information graph embedding. Dongjing Wang, Guandong Xu, Shuiguang Deng |
| 2017 | Navigating mobile robots to target in near shortest time using reinforcement learning with spiking neural networks. Amarnath Mahadevuni, Peng Li |
| 2017 | Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control. Yufei Tang, Chaoxu Mu, Haibo He |
| 2017 | Nesterov's accelerated gradient and momentum as approximations to regularised update descent. Aleksandar Botev, Guy Lever, David Barber |
| 2017 | Network intrusion detection for cyber security on neuromorphic computing system. Md. Zahangir Alom, Tarek M. Taha |
| 2017 | Neural based obstacle avoidance with CPG controlled hexapod walking robot. Petr Cizek, Pavel Milicka, Jan Faigl |
| 2017 | Neural computation with non-uniform population codes. Brian J. Fischer |
| 2017 | Neural control for a microgrid. Martin J. Loza-Lopez, Tania B. Lopez-Garcia, Riemann Ruiz-Cruz, Edgar N. Sánchez |
| 2017 | Neural controller for PTZ cameras based on nonpanoramic foreground detection. Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Karl Thurnhofer-Hemsi |
| 2017 | Neural net-based and safety-oriented visual analytics for time-spatial data. Zhenghao Chen, Jianlong Zhou, Xiuying Wang, Jeremy Swanson, Fang Chen, Dagan Feng |
| 2017 | Neural network modeling of business decision making. Daniel S. Levine, Kay-Yut Chen, Bakur AlQaudi |
| 2017 | Neural network nonlinear plant identification as a tool in intelligent controller design. Dinart Duarte Braga, Ricardo Tanscheit, Marley M. B. R. Vellasco |
| 2017 | Neural networks and the search for a quadratic residue detector. Michael Potter, Leon Reznik, Stanislaw P. Radziszowski |
| 2017 | Neural networks between integer and rational weights. Jirí Síma |
| 2017 | Neural-based model predictive control for tackling steering delays of autonomous cars. Ranik Guidolini, Alberto F. De Souza, Filipe Wall Mutz, Claudine Badue |
| 2017 | Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution. Yoshihiro Osakabe, Shigeo Sato, Hisanao Akima, Masao Sakuraba, Mitsunaga Kinjo |
| 2017 | Neurogenesis deep learning: Extending deep networks to accommodate new classes. Timothy 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 |
| 2017 | Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. Sebastian Schmitt, Johann Klähn, Guillaume Bellec, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, René Schüffny, Johannes Schemmel, Karlheinz Meier |
| 2017 | Neuromorphic system with phase-change synapses for pattern learning and feature extraction. Stanislaw Wozniak, Angeliki Pantazi, Yusuf Leblebici, Evangelos Eleftheriou |
| 2017 | Neurorobotic simulations on the degradation of multiple column liquid state machines. Ricardo de Azambuja, Daniel Hernández García, Martin F. Stoelen, Angelo Cangelosi |
| 2017 | Noisy deep dictionary learning: Application to Alzheimer's Disease classification. Angshul Majumdar, Vanika Singhal |
| 2017 | Noisy neuromorphic neurons with RPG on-chip noise source. Kun Yue, Alice C. Parker |
| 2017 | Non-local information for a mixture of multiple linear classifiers. Weite Li, Peifeng Liang, Xin Yuan, Jinglu Hu |
| 2017 | Non-negative pyramidal neural network for parts-based learning. Milla S. A. Ferro, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho |
| 2017 | Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms. Long Jin, Shuai Li, Xin Luo, Mingsheng Shang |
| 2017 | Nonnegative matrix factorization with adaptive neighbors. Shudong Huang, Zenglin Xu, Fei Wang |
| 2017 | NotiFi: A ubiquitous WiFi-based abnormal activity detection system. Dali Zhu, Na Pang, Gang Li, Shaowu Liu |
| 2017 | OMKT: Projection based bounded on-line multiple kernel tracker. Prabhash Kumarasinghe, Suresh Sundaram |
| 2017 | Object recognition using cellular simultaneous recurrent networks and convolutional neural network. Md. Zahangir Alom, Mahbubul Alam, Tarek M. Taha, Khan M. Iftekharuddin |
| 2017 | Objective cost-sensitive-boosting-WELM for handling multi class imbalance problem. Zhen Liu, Deyu Tang, Jincheng Li, Ruoyu Wang |
| 2017 | Objective quality assessment of retinal images based on texture features. Beatriz Remeseiro, Ana Maria Mendonça, Aurélio J. C. Campilho |
| 2017 | Octonion-valued bidirectional associative memories. Calin-Adrian Popa |
| 2017 | Odor recognition in an attractor network model of the mammalian olfactory cortex. Pawel Andrzej Herman, Simon Benjaminsson, Anders Lansner |
| 2017 | On improving recurrent neural network for image classification. B. Chandra, Rajesh Kumar Sharma |
| 2017 | On making sense of neural networks in road analysis. Daniel Morris, Andreas Antoniades, Clive Cheong Took |
| 2017 | On self-organizing maps for orienteering problems. Jan Faigl |
| 2017 | On the characterization of the Oracle for dynamic classifier selection. Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin |
| 2017 | On the memory properties of recurrent neural models. Arthur Jack Russell, Emmanouil Benetos, Artur S. d'Avila Garcez |
| 2017 | On the robustness of machine learning based malware detection algorithms. Weiwei Hu, Ying Tan |
| 2017 | On the use of deep recurrent neural networks for detecting audio spoofing attacks. Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini |
| 2017 | On-chip training of memristor based deep neural networks. Raqibul Hasan, Tarek M. Taha, Chris Yakopcic |
| 2017 | On-chip training of recurrent neural networks with limited numerical precision. Taesik Na, Jong Hwan Ko, Jaeha Kung, Saibal Mukhopadhyay |
| 2017 | Online compressed robust PCA. Pingbo Pan, Jiashi Feng, Ling Chen, Yi Yang |
| 2017 | Online incremental supervised growing neural gas. Felipe Duque Belfort, Hansenclever de F. Bassani, Aluízio F. R. Araújo |
| 2017 | Online peak detection in photoplethysmogram signals using sequential learning algorithm. B. N. Sumukha, R. Chandan Kumar, Skanda S. Bharadwaj, Koshy George |
| 2017 | Online query by committee for active learning from drifting data streams. Bartosz Krawczyk, Michal Wozniak |
| 2017 | Online recurrent extreme learning machine and its application to time-series prediction. Jin-Man Park, Jong-Hwan Kim |
| 2017 | Online reinforcement with exploration for distributed control. Vignesh Narayanan, Sarangapani Jagannathan |
| 2017 | Optimization and evaluation of deep architectures for ambient awareness on a sidewalk. Mohammed Yeasin, Faruk Ahmed |
| 2017 | Optimization-based computation with spiking neurons. Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone |
| 2017 | Optimize collapsed Gibbs sampling for biterm topic model by alias method. Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Xiaoli Bai, Jia Li |
| 2017 | Overdispersed variational autoencoders. Harshil Shah, David Barber, Aleksandar Botev |
| 2017 | Panoramic background modeling for PTZ cameras with competitive learning neural networks. Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello |
| 2017 | Parallel dynamic search fireworks algorithm with linearly decreased dimension number strategy for solving conditional nonlinear optimal perturbation. Jinghao Yan, Shijin Yuan, Junhui Zhao, Bin Mu |
| 2017 | Parameter compression of recurrent neural networks and degradation of short-term memory. Jonathan A. Cox |
| 2017 | Parametric identification of stochastic interaction networks. Hana Baili |
| 2017 | Parametric system identification using deep convolutional neural networks. Sahika Genc |
| 2017 | Pattern classification with meta-cognition and online sequential learning algorithm. Skanda S. Bharadwaj, R. Chandan Kumar, B. N. Sumukha, Koshy George |
| 2017 | Paving the way for providing teaching feedback in automatic evaluation of open response assignments. Verónica Bolón-Canedo, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Amparo Alonso-Betanzos |
| 2017 | Pedestrian detection with dilated convolution, region proposal network and boosted decision trees. Jiqian Li, Yan Wu, Junqiao Zhao, Linting Guan, Chen Ye, Tao Yang |
| 2017 | Perception space analysis: From color vision to odor perception. Amir Madany Mamlouk, Martin Haker, Thomas Martinetz |
| 2017 | Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). Abhronil Sengupta, Aayush Ankit, Kaushik Roy |
| 2017 | Performance optimization of echo state networks through principal neuron reinforcement. Hsiao-Tien Fan, Wei Wang, Zhanpeng Jin |
| 2017 | Phonetic state relation graph regularized deep neural network for robust acoustic model. Hoon Chung, Yoo Rhee Oh, Sung Joo Lee, Jeon Gue Park |
| 2017 | Photonic reservoir computer with output feedback for chaotic time series prediction. Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar |
| 2017 | Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents. Inés del Campo, Victoria Martínez, Flavia Orosa, Javier Echanobe, Estibaliz Asua, Koldo Basterretxea |
| 2017 | Plenary talks: Frontiers in recurrent neural network research. Alex Graves |
| 2017 | Policy gradient methods with Gaussian process modelling acceleration. Dong Li, Dongbin Zhao, Qichao Zhang, Chaomin Luo |
| 2017 | Pose invariance through registration for hierarchical feature based pattern recognition systems. Noel Khan, David A. Elizondo, Benjamin N. Passow, Pamela A. Hardaker |
| 2017 | Potential layer-wise supervised learning for training multi-layered neural networks. Ryotaro Kamimura |
| 2017 | Power infrastructure monitoring and damage detection using drone captured images. Ashley Varghese, Jayavardhana Gubbi, Hrishikesh Sharma, P. Balamuralidhar |
| 2017 | Power plant performance modeling with concept drift. Yunwen Xu, Rui Xu, Weizhong Yan |
| 2017 | Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm. Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardiña |
| 2017 | Predicting evolving chaotic time series with fuzzy neural networks. Frank Z. Xing, Erik Cambria, Xiaomei Zou |
| 2017 | Predicting public bicycle rental number using multi-source data. Fei Lin, Shihua Wang, Jian Jiang, Weidi Fan, Yong Sun |
| 2017 | Prediction of graduation delay based on student performance. Tushar Ojha, Gregory L. Heileman, Manel Martínez-Ramón, Ahmad Slim |
| 2017 | Prediction of natural guidewire rotation using an sEMG-based NARX neural network. Xiao-Hu Zhou, Gui-Bin Bian, Xiaoliang Xie, Zeng-Guang Hou, Jian-Long Hao |
| 2017 | Prediction of residual power peaks in industrial microgrids using artificial neural networks. Thorsten Vogt, Daniel Weber, Oliver Wallscheid, Joachim Böcker |
| 2017 | Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model. Minkyu Choi, Jun Tani |
| 2017 | Probabilistic matching: Causal inference under measurement errors. Fani Tsapeli, Peter Tiño, Mirco Musolesi |
| 2017 | Probabilistic matrix factorization from quantized measurements. Giulio Bottegal, Johan A. K. Suykens |
| 2017 | Programming the mind and decrypting the universe - A bipolar quantum-neuro-fuzzy associative memory model for quantum cognition and quantum intelligence. Wen-Ran Zhang |
| 2017 | Projected clustering via robust orthogonal least square regression with optimal scaling. Rui Zhang, Feiping Nie, Xuelong Li |
| 2017 | Pruning optimum-path forest ensembles using quaternion-based optimization. Silas Evandro Nachif Fernandes, João Paulo Papa |
| 2017 | Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system. Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha |
| 2017 | Random fourier feature kernel recursive least squares. Zhengda Qin, Badong Chen, Nanning Zheng |
| 2017 | Recent advances in video-based human action recognition using deep learning: A review. Di Wu, Nabin Sharma, Michael Blumenstein |
| 2017 | Reconstruction of bifurcation diagrams using an extreme learning machine with a pruning algorithm. Yoshitaka Itoh, Masaharu Adachi |
| 2017 | Recurrent neural networks and exponential PAA for virtual marine sensors. Stefan Oehmcke, Oliver Zielinski, Oliver Kramer |
| 2017 | Recursive autoconvolution for unsupervised learning of convolutional neural networks. Boris Knyazev, Erhardt Barth, Thomas Martinetz |
| 2017 | Region-specific fMRI dictionary for decoding face verification in humans. Daksha Yadav, Naman Kohli, Shruti Nagpal, Maneet Singh, Prateekshit Pandey, Mayank Vatsa, Richa Singh, Afzel Noore, Gokulraj Prabhakaran, Harsh Mahajan |
| 2017 | Regression-forests-based estimation of blood pressure using the pulse transit time obtained by facial photoplethysmogram. Mototaka Yoshioka, Souksakhone Bounyong |
| 2017 | Regularized training of the extreme learning machine using the conjugate gradient method. Philip de Chazal, Mark D. McDonnell |
| 2017 | Relational autoencoder for feature extraction. Qinxue Meng, Daniel R. Catchpoole, David Skillicom, Paul J. Kennedy |
| 2017 | Relevance effect: Exploiting Bayesian networks to improve supervised learning. Ardavan Salehi Nobandegani, Jad Kabbara, Ioannis N. Psaromiligkos |
| 2017 | Reservoir computing & extreme learning machines using pairs of cellular automata rules. Nathan McDonald |
| 2017 | Reservoir computing in materio: A computational framework for in materio computing. Matthew Dale, Susan Stepney, Julian F. Miller, Martin Trefzer |
| 2017 | Resting state neural networks and energy metabolism. Raymond Noack, Chetan Manjesh, Miklós Ruszinkó, Hava T. Siegelmann, Robert Kozma |
| 2017 | Restricted Boltzmann machine based stock market trend prediction. Qiubin Liang, Wenge Rong, Jiayi Zhang, Jingshuang Liu, Zhang Xiong |
| 2017 | Restricted exhaustive search for frequency band selection in motor imagery classification. Paul Bustios, João Luís Garcia Rosa |
| 2017 | Risk-averse trees for learning from logged bandit feedback. Francesco Trovò, Stefano Paladino, Paolo Simone, Marcello Restelli, Nicola Gatti |
| 2017 | Robust greedy deep dictionary learning for ECG arrhythmia classification. Angshul Majumdar, Rabab Kreidieh Ward |
| 2017 | Robust nonnegative matrix factorization with ordered structure constraints. Jing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Xiao Wang, Xianchao Tang |
| 2017 | Robust optimal control for time-delay systems with dynamic uncertainties via ADP. Lu Dong, Jun Li, Wankou Yang, Changyin Sun |
| 2017 | Robust semi-supervised concept factorization. Wei Yan, Bob Zhang, Sihan Ma |
| 2017 | Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. Mihai A. Petrovici, Anna Schroeder, Oliver Breitwieser, Andreas Grübl, Johannes Schemmel, Karlheinz Meier |
| 2017 | Robustness of a memristor based liquid state machine. Nicholas Soures, Lydia Hays, Dhireesha Kudithipudi |
| 2017 | STDP-based unsupervised learning of memristive spiking neural network by Morris-Lecar model. Amirali Amirsoleimani, Majid Ahmadi, Arash Ahmadi |
| 2017 | SVRG with adaptive epoch size. Erxue Min, Yawei Zhao, Jun Long, Chengkun Wu, Kuan Li, Jianping Yin |
| 2017 | Scalable deep traffic flow neural networks for urban traffic congestion prediction. Mohammadhani Fouladgar, Mostafa Parchami, Ramez Elmasri, Amir Ghaderi |
| 2017 | Scaling up deep reinforcement learning for multi-domain dialogue systems. Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse |
| 2017 | Seeking the SuperStar: Automatic assessment of perceived singing quality. Johanna Bohm, Florian Eyben, Maximilian Schmitt, Harald Kosch, Björn W. Schuller |
| 2017 | Selection of learning experts. Robin Allesiardo, Raphaël Féraud |
| 2017 | Selection of stable features for modeling 4-D affective space from EEG recording. Rakib Al-Fahad, Mohammed Yeasin, A. S. M. Iftekhar Anam, Bahareh Elahian |
| 2017 | Selective and cooperative potentiality maximization for improving interpretation and generalization. Ryotaro Kamimura |
| 2017 | Self-organising temporal pooling. Daniel Slack, Brendan McCane, Alistair Knott |
| 2017 | Self-training with adaptive regularization for S3VM. Edward Cheung, Yuying Li |
| 2017 | Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN. Johan Isaksson, Ida Arvidsson, Kalle Åström, Anders Heyden |
| 2017 | Semi-supervised convolutional extreme learning machine. Mahmood Yousefi-Azar, Mark D. McDonnell |
| 2017 | Semi-supervised saliency classifier based on a linear feedback control system model. Shuwei Huo, Yuan Zhou, Sun-Yuan Kung |
| 2017 | Semi-wildlife gait patterns classification using statistical methods and Artificial Neural Networks. Daniel Gutierrez-Galan, Juan Pedro Dominguez-Morales, Lourdes Miro-Amarante, Francisco Gomez-Rodriguez, Manuel Domínguez-Morales, Manuel Rivas Pérez, Angel Jiménez-Fernandez, Alejandro Linares-Barranco |
| 2017 | Sensitivity and similarity regularization in dynamic selection of ensembles of neural networks. B. Keshavarz Hedayati, Nikitas J. Dimopoulos |
| 2017 | Sentiment analysis with the exploration of overall opinion sentences. Xiaojia Pu, Gangshan Wu, Chunfeng Yuan |
| 2017 | Separating inference from feature learning in deep unsupervised visual saliency estimation. Bruno Tailie, Michaël Garcia Ortiz |
| 2017 | Sequence-to-sequence prediction of personal computer software by recurrent neural network. Qichuan Yang, Zhiqiang He, Fujiang Ge, Yang Zhang |
| 2017 | Sharing deep generative representation for perceived image reconstruction from human brain activity. Changde Du, Changying Du, Huiguang He |
| 2017 | Short-term plasticity in a liquid state machine biomimetic robot arm controller. Ricardo de Azambuja, Frederico B. Klein, Samantha V. Adams, Martin F. Stoelen, Angelo Cangelosi |
| 2017 | Side-channel analysis and machine learning: A practical perspective. Stjepan Picek, Annelie Heuser, Alan Jovic, Simone A. Ludwig, Sylvain Guilley, Domagoj Jakobovic, Nele Mentens |
| 2017 | Signal coding and reconstruction using deterministic spiking neurons. Gokhan Kaya, Arunava Banerjee |
| 2017 | Signal detection of MIMO-OFDM system based on auto encoder and extreme learning machine. Xin Yan, Fei Long, Jingshuai Wang, Na Fu, Weihua Ou, Bin Liu |
| 2017 | Signal-based autonomous clustering for relational data. Parisa Rastin, Basarab Matei, Guénaël Cabanes, Ibtissame El Baghdadi |
| 2017 | Significance of neural phonotactic models for large-scale spoken language identification. Brij Mohan Lal Srivastava, Hari Krishna Vydana, Anil Kumar Vuppala, Manish Shrivastava |
| 2017 | Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks. Bryan P. Tripp |
| 2017 | Simple and efficient parallelization for probabilistic temporal tensor factorization. Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu |
| 2017 | Simple, fast and accurate hyper-parameter tuning in Gaussian-kernel SVM. Guangliang Chen, Wilson Florero-Salinas, Dan Li |
| 2017 | Simulations support the simple hypothesis that persistent coupling of electrochemical activity in recurrent network neurons is an objective signature of visual object unity. Raymond Pavloski, Charles Lamb |
| 2017 | Single-cell based random neural network for deep learning. Yonghua Yin, Erol Gelenbe |
| 2017 | Small-footprint convolutional neural network for spoofing detection. Heinrich Dinkel, Yanmin Qian, Kai Yu |
| 2017 | Social recommendation using Euclidean embedding. Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia, Tong Dou |
| 2017 | Solar power prediction using weather type pair patterns. Zheng Wang, Irena Koprinska, Mashud Rana |
| 2017 | Solar power prediction with data source weighted nearest neighbors. Zheng Wang, Irena Koprinska |
| 2017 | Spatio-temporal cellular automata-based filtering for image sequence denoising. Blanca Maria Priego Torres, Abraham Prieto, Richard J. Duro, Jocelyn Chanussot |
| 2017 | Spatio-temporal pattern recognition in neural circuits with memory-transistor-driven memristive synapses. Kurtis D. Cantley, Robert C. Ivans, Anand Subramaniam, Eric M. Vogel |
| 2017 | Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks. Gopalakrishnan Srinivasan, Sourjya Roy, Vijay Raghunathan, Kaushik Roy |
| 2017 | Spike timing-dependent conduction delay learning model classifying spatio-temporal spike patterns. Takashi Matsubara |
| 2017 | Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu |
| 2017 | Stacked deep convolutional auto-encoders for emotion recognition from facial expressions. Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade |
| 2017 | State initialization for recurrent neural network modeling of time-series data. Nima Mohajerin, Steven Lake Waslander |
| 2017 | State space reconstruction from noisy nonlinear time series: An autoencoder-based approach. He Jiang, Haibo He |
| 2017 | Stochastic and deterministic stationarity analysis of EEG data. Daniel Moreira Cestari, João Luís Garcia Rosa |
| 2017 | Stochastic diagonal approximate greatest descent in neural networks. Hong Hui Tan, King Hann Lim, Hendra Gunawan Harno |
| 2017 | Stock market's price movement prediction with LSTM neural networks. David M. Q. Nelson, Adriano C. M. Pereira, Renato A. de Oliveira |
| 2017 | Structural adaptation for sparsely connected MLP using Newton's method. Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry |
| 2017 | Structural damage assessment using artificial immune systems and wavelet decomposition. Arthur Shi, Xiao-Hua Yu |
| 2017 | Structural superpixel descriptor for visual tracking. Wenjun Huang, Ruimin Hu, Chao Liang, Weijian Ruan, Bo Luo |
| 2017 | Structure embedding for knowledge base completion and analytics. Zili Zhou, Guandong Xu, Wenhao Zhu, Jinyan Li, Wu Zhang |
| 2017 | Structure optimization of dynamic reservoir ensemble using genetic algorithm. Wei Wang, Hsiao-Tien Fan, Zhanpeng Jin |
| 2017 | Structure-based fitness prediction for the variable-structure DANNA neuromorphic architecture. Aleksander Klibisz, Grant Bruer, James S. Plank, Catherine D. Schuman |
| 2017 | Study for ELM-based recognition of fold structure aiming at remote sensing image. Jiehong Wu, Liangkai Zou, Xiang Li, Zhaokui Li, Liu Yang |
| 2017 | Sub-event detection from tweets. Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan |
| 2017 | Supervised classification via constrained subspace and tensor sparse representation. Liang Liao, Stephen John Maybank, Yanning Zhang, Xin Liu |
| 2017 | Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data. Ali Braytee, Wei Liu, Paul J. Kennedy |
| 2017 | Symbolic manipulation based on deep neural networks and its application to axiom discovery. Chenghao Cai, Dengfeng Ke, Yanyan Xu, Kaile Su |
| 2017 | Symbolic representations of time series applied to biometric recognition based on ECG signals. Henrique dos Santos Passos, Felipe Gustavo Silva Teodoro, Bruno Matarazzo Duru, Edenilton Lima de Oliveira, Sarajane Marques Peres, Clodoaldo Ap. M. Lima |
| 2017 | Synaptic efficacy mosaics and the impact of morphology. Nicolangelo Iannella, Thomas Launey |
| 2017 | Synchronization analysis for complex networks with interval delay via non-fragile pinning control. Dawei Gong, Zhiwen Zhang, Xiaolin Dai, Jinliang Song, Bonan Huang |
| 2017 | Teaching emotion expressions to a human companion robot using deep neural architectures. Nikhil Churamani, Matthias Kerzel, Erik Strahl, Pablo V. A. Barros, Stefan Wermter |
| 2017 | Temporal hierarchies in multilayer gated recurrent neural networks for language models. Moirangthem Dennis Singh, Minho Lee |
| 2017 | Temporal overdrive recurrent neural network. Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen |
| 2017 | Temporal progression in functional connectivity determines individual differences in working memory capacity. Pouya Bashivan, Mohammed Yeasin, Gavin M. Bidelman |
| 2017 | Temporal-specific roles of fractality in EEG signal of Alzheimer's disease. Sou Nobukawa, Teruya Yamanishi, Haruhiko Nishimura, Yuji Wada, Mitsuru Kikuchi, Tetsuya Takahashi |
| 2017 | Ternary neural networks for resource-efficient AI applications. Hande Alemdar, Vincent Leroy, Adrien Prost-Boucle, Frédéric Pétrot |
| 2017 | Text clustering using enhanced PLSA with word correlation. Qian Zuo, Chang-Dong Wang, Jian-Huang Lai |
| 2017 | The LICORS cabinet: Nonparametric light cone methods for spatio-temporal modeling. George D. Montañez, Cosma Rohilla Shalizi |
| 2017 | The RNN-ELM classifier. Athanasios Vlontzos |
| 2017 | The art of scaling up : A computational account on action selection in basal ganglia. Bhargav Teja Nallapu, Bapi Raju Surampudi, Nicolas P. Rougier |
| 2017 | The classification of periodic light curves from non-survey optimized observational data through automated extraction of phase-based visual features. Paul R. McWhirter, Iain A. Steele, Dhiya Al-Jumeily, Abir Hussain, Marley M. B. R. Vellasco |
| 2017 | The effect of biologically-inspired mechanisms in spiking neural networks for neuromorphic implementation. Catherine D. Schuman |
| 2017 | The effects of output codes on transfer learning in a deep convolutional neural net. Steven Gutstein, Ethan Stump |
| 2017 | The fused lasso penalty for learning interpretable medical scoring systems. Nataliya Sokolovska, Yann Chevaleyre, Karine Clément, Jean-Daniel Zucker |
| 2017 | The modulation of synchronization by tuning functions and its effect on multi-sensory perception. A. Ravishankar Rao |
| 2017 | The neural control of movement must contend with trajectory-specific and nonlinearly distorted manifolds of afferent muscle spindle activity. Jasmine A. Berry, Robert Ritter, Akira Nagamori, Francisco J. Valero Cuevas |
| 2017 | The object class intrinsic filter conjecture. Michael E. Kounavis |
| 2017 | The use of one-class classifiers for differentiating healthy from epileptic EEG segments. Jefferson Tales Oliva, João Luís Garcia Rosa |
| 2017 | Three-step DTZNN algorithm for time-varying linear matrix inequality solving. Dongsheng Guo, Aifen Li, Xinjie Lin, Feng Xu, Zhaozhu Su |
| 2017 | Tightly-coupled convolutional neural network with spatial-temporal memory for text classification. Shiyao Wang, Zhidong Deng |
| 2017 | Time delays in a HyperNEAT network to improve gait learning for legged robots. Oscar A. Silva, Pascal Sigel, María-José Escobar |
| 2017 | Time series classification from scratch with deep neural networks: A strong baseline. Zhiguang Wang, Weizhong Yan, Tim Oates |
| 2017 | Top-down strategies for hierarchical classification of transposable elements with neural networks. Felipe Kenji Nakano, Walter José G. S. Pinto, Gisele Lobo Pappa, Ricardo Cerri |
| 2017 | Toward abstraction from multi-modal data: Empirical studies on multiple time-scale recurrent models. Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata |
| 2017 | Toward virtual data scientist with visual means. Boris Kovalerchuk, Michael Kovalerchuk |
| 2017 | Towards computer vision based ancient coin recognition in the wild - Automatic reliable image preprocessing and normalization. Brandon Conn, Ognjen Arandjelovic |
| 2017 | Towards enabling deep learning techniques for adaptive dynamic programming. Zhen Ni, Naresh Malla, Xiangnan Zhong |
| 2017 | Towards intoxicated speech recognition. Zixing Zhang, Felix Weninger, Martin Wöllmer, Jing Han, Björn W. Schuller |
| 2017 | Towards real-time robot simulation on uneven terrain using neural networks. Daniel Cook, Andrew Vardy |
| 2017 | Towards the discrimination of primary and secondary headache: An intelligent systems approach. Robert Keight, Dhiya Al-Jumeily, Abir Jaafar Hussain, Mohammed Al-Jumeily, Conor Mallucci |
| 2017 | Towards using visual attributes to infer image sentiment of social events. Unaiza Ahsan, Munmun De Choudhury, Irfan A. Essa |
| 2017 | Training a two-choice decision-making model with environment feedback. Hui Wei, Yijie Bu |
| 2017 | Training neural networks with policy gradient. Sourabh Bose, Manfred Huber |
| 2017 | Trajectory clustering via deep representation learning. Di Yao, Chao Zhang, Zhihua Zhu, Jian-Hui Huang, Jingping Bi |
| 2017 | Transfer learning for automated optical inspection. Seunghyeon Kim, Wooyoung Kim, Yung-Kyun Noh, Frank Chongwoo Park |
| 2017 | Transfer learning in classification based on manifolc. models and its relation to tangent metric learning. Sascha Saralajew, Thomas Villmann |
| 2017 | Transfer learning of shared latent spaces between robots with similar kinematic structure. Brian Delhaisse, Domingo Esteban, Leonel Dario Rozo, Darwin G. Caldwell |
| 2017 | Transforming sensor data to the image domain for deep learning - An application to footstep detection. Monit Shah Singh, Vinaychandran Pondenkandath, Bo Zhou, Paul Lukowicz, Marcus Liwicki |
| 2017 | Truncated variational EM for semi-supervised neural simpletrons. Dennis Forster, Jörg Lücke |
| 2017 | Two improved continuous bag-of-word models. Qi Wang, Jungang Xu, Hong Chen, Ben He |
| 2017 | Two-dimensional spectral image calibration based on feed-forward neural network. Mingze Li, Hasitieer Haerken, Ping Guo, Fuqing Duan, Qian Yin, Xin Zheng |
| 2017 | Two-layer dynamic neural field learning law basec on controlled Lyapunov functions. J. L. Garcia-Lopez, Iván Salgado, Isaac Chairez |
| 2017 | Typicality effect on N400 ERP in categories despite differences in semantic processing. Mansoureh Fahimi Hnazaee, Marc M. Van Hulle |
| 2017 | Uniform histograms for change detection in multivariate data. Giacomo Boracchi, Cristiano Cervellera, Danilo Macciò |
| 2017 | Universal network representation for heterogeneous information networks. Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long |
| 2017 | Universum learning for SVM regression. Sauptik Dhar, Vladimir Cherkassky |
| 2017 | Unsupervised deep kernel for high dimensional data. Ying Xie, Linh Le, Jie Hao |
| 2017 | Unsupervised learning for surveillance planning with team of aerial vehicles. Jan Faigl, Petr Vana |
| 2017 | Unsupervised learning of event-based image recordings using spike-timing-dependent plasticity. Laxmi R. Iyer, Arindam Basu |
| 2017 | Using information fractal dimension as temperature in restricted Boltzmann Machine. Muhammad Salman Khan, Sana Siddiqui, Ken Ferens |
| 2017 | Using noise to speed up video classification with recurrent backpropagation. Olaoluwa Adigun, Bart Kosko |
| 2017 | Using regularized fisher discriminant analysis to improve the performance of Gaussian supervector in session and device identification. Frank Hung-Fat Leung, Yuechi Jiang |
| 2017 | Using synthetic data to train neural networks is model-based reasoning. Tuan Anh Le, Atilim Günes Baydin, Robert Zinkov, Frank D. Wood |
| 2017 | Variation in classification accuracy with number of glimpses. Jayanta K. Dutta, Bonny Banerjee |
| 2017 | Variational methods for conditional multimodal deep learning. Gaurav Pandey, Ambedkar Dukkipati |
| 2017 | Vertex reconstruction of neutrino interactions using deep learning. Adam M. Terwilliger, Gabriel N. Perdue, David Isele, Robert M. Patton, Steven R. Young |
| 2017 | Vibrated synchronization features neural network. Yoshitsugu Kakemoto, Shinichi Nakasuka |
| 2017 | Video-based face recognition using ensemble of haar-like deep convolutional neural networks. Mostafa Parchami, Saman Bashbaghi, Eric Granger |
| 2017 | Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks. Juarez Monteiro, João Paulo Aires, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi |
| 2017 | Visual entity linking. Neha Tilak, Sunil Gandhi, Tim Oates |
| 2017 | Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients. Cosimo Ieracitano, Jonas Duun-Henriksen, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito |
| 2017 | Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compression. Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran |
| 2017 | Weibull partition models with applications to hidden semi-Markov models. Youwei Lu, Shogo Okada, Katsumi Nitta |
| 2017 | Weighted numerical and categorical attribute clustering in data streams. Wen-Bin Liang, Chang-Dong Wang, Jian-Huang Lai |
| 2017 | Zero-shot learning with a partial set of observed attributes. Yaqing Wang, James T. Kwok, Quanming Yao, Lionel M. Ni |
| 2017 | m-Power regularized least squares regression. Julien Audiffren, Hachem Kadri |
| 2017 | t-Distributed stochastic neighbor embedding spectral clustering. Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa |
| 2017 | ℓ2-type regularization-based unsupervised anomaly detection from temporal data. Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia |