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ORCID25. ICANN 2016: Barcelona, Spain
- Alessandro E. P. Villa
, Paolo Masulli, Antonio Javier Pons Rivero:
Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9887, Springer 2016, ISBN 978-3-319-44780-3
Deep Learning
- Álvaro Peris, Marc Bolaños, Petia Radeva, Francisco Casacuberta:
Video Description Using Bidirectional Recurrent Neural Networks. 3-11 - Martin Meier, Florian Patzelt, Robert Haschke, Helge J. Ritter:
Tactile Convolutional Networks for Online Slip and Rotation Detection. 12-19 - Omid E. David, Nathan S. Netanyahu:
DeepPainter: Painter Classification Using Deep Convolutional Autoencoders. 20-28 - Lorand Madai-Tahy, Sebastian Otte, Richard Hanten, Andreas Zell:
Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition. 29-37 - Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade:
Deep Learning for Emotion Recognition in Faces. 38-46 - Martin Spüler, Nerea Irastorza-Landa, Andrea Sarasola-Sanz, Ander Ramos-Murguialday:
Extracting Muscle Synergy Patterns from EMG Data Using Autoencoders. 47-54 - Francisco Zamora-Martínez, Javier Muñoz-Almaraz, Juan Pardo:
Integration of Unsupervised and Supervised Criteria for Deep Neural Networks Training. 55-62 - Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek:
Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers. 63-71 - Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno:
Analysis of Dropout Learning Regarded as Ensemble Learning. 72-79 - Tobias Hinz, Pablo V. A. Barros, Stefan Wermter:
The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks. 80-87 - Omid E. David, Nathan S. Netanyahu, Lior Wolf:
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess. 88-96 - Bryan P. Tripp:
A Convolutional Network Model of the Primate Middle Temporal Area. 97-104 - Tiehang Duan, Sargur N. Srihari:
Pseudo Boosted Deep Belief Network. 105-112 - Baptiste Wicht, Andreas Fischer, Jean Hennebert:
Keyword Spotting with Convolutional Deep Belief Networks and Dynamic Time Warping. 113-120 - Thomas Hecht, Alexander Gepperth:
Computational Advantages of Deep Prototype-Based Learning. 121-127 - Haiteng Li, Bin Xu, Nanyue Wang, Jia Liu:
Deep Convolutional Neural Networks for Classifying Body Constitution. 128-135 - Mohamed Elleuch, Ramzi Zouari, Monji Kherallah:
Feature Extractor Based Deep Method to Enhance Online Arabic Handwritten Recognition System. 136-144 - Stanislaw Ambroszkiewicz:
On Higher Order Computations and Synaptic Meta-Plasticity in the Human Brain. 145-152 - Guillaume Soulié, Vincent Gripon, Maëlys Robert:
Compression of Deep Neural Networks on the Fly. 153-160 - Clément Peyrard, Moez Baccouche, Christophe Garcia:
Blind Super-Resolution with Deep Convolutional Neural Networks. 161-169 - Dror Sholomon, Omid E. David, Nathan S. Netanyahu:
DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problem. 170-178 - Thomas Kopinski, Fabian Sachara, Alexander Gepperth, Uwe Handmann:
A Deep Learning Approach for Hand Posture Recognition from Depth Data. 179-186 - Sheng Luo, Haojin Yang, Cheng Wang, Xiaoyin Che, Christoph Meinel:
Action Recognition in Surveillance Video Using ConvNets and Motion History Image. 187-195
Classification and Forecasting
- Moyuan Huang, Wenge Rong, Tom Arjannikov, Nan Jiang, Zhang Xiong:
Bi-Modal Deep Boltzmann Machine Based Musical Emotion Classification. 199-207 - Jaime Andrés-Merino, Lluís Belanche:
StreamLeader: A New Stream Clustering Algorithm not Based in Conventional Clustering. 208-215 - Hassan Mahmoud, Francesco Masulli, Stefano Rovetta, Amr Abdullatif:
Comparison of Methods for Community Detection in Networks. 216-224 - Elham Zareian, Jun Chen, Basabdatta Sen Bhattacharya:
A Robust Evolutionary Optimisation Approach for Parameterising a Neural Mass Model. 225-234 - Nicolás Hernández, Alberto Muñoz:
Kernel Depth Measures for Functional Data with Application to Outlier Detection. 235-242 - Alberto Torres-Barrán, José R. Dorronsoro:
Nesterov Acceleration for the SMO Algorithm. 243-250 - Johannes Kummert, Benjamin Paassen, Joris Jensen, Christina Göpfert, Barbara Hammer:
Local Reject Option for Deterministic Multi-class SVM. 251-258 - Raouia Mokni, Monji Kherallah:
Palmprint Biometric System Modeling by DBC and DLA Methods and Classifying by KNN and SVM Classifiers. 259-266 - Fumiaki Saitoh:
Ensemble Models of Learning Vector Quantization Based on Bootstrap Resampling. 267-274 - Huliane M. Silva, Anne M. P. Canuto, Inácio Gomes Medeiros, João Carlos Xavier Jr.:
Cluster Ensembles Optimization Using Coral Reefs Optimization Algorithm. 275-282 - Kazuma Sasaki, Madoka Yamakawa, Kana Sekiguchi, Tetsuya Ogata:
Classification of Photo and Sketch Images Using Convolutional Neural Networks. 283-290 - Emanuele Ogliari, Alberto Bolzoni, Sonia Leva, Marco Mussetta:
Day-ahead PV Power Forecast by Hybrid ANN Compared to the Five Parameters Model Estimated by Particle Filter Algorithm. 291-298 - Mashud Rana, Irena Koprinska, Alicia Troncoso, Vassilios G. Agelidis:
Extended Weighted Nearest Neighbor for Electricity Load Forecasting. 299-307 - Sabrina G. T. A. Bezerra, Camila B. de Andrade, Mêuser J. S. Valença:
Using Reservoir Computing and Trend Information for Short-Term Streamflow Forecasting. 308-316 - Irina Myagkova, Vladimir Shiroky, Sergey Dolenko:
Effect of Simultaneous Time Series Prediction with Various Horizons on Prediction Quality at the Example of Electron Flux in the Outer Radiation Belt of the Earth. 317-325 - Hua Shen, Xun Liang:
A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction. 326-335 - Mauricio Peña, Argimiro Arratia, Lluís Belanche:
Multivariate Dynamic Kernels for Financial Time Series Forecasting. 336-344
Recognition and Navigation
- Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki:
Symbolic Association Using Parallel Multilayer Perceptron. 347-354 - Alexander Efitorov, Tatiana A. Dolenko, Sergey Burikov, Kirill Laptinskiy, Sergey Dolenko:
Solution of an Inverse Problem in Raman Spectroscopy of Multi-component Solutions of Inorganic Salts by Artificial Neural Networks. 355-362 - Elena Cerezuela-Escudero, Angel Jiménez-Fernandez, Rafael Paz-Vicente, Juan Pedro Dominguez-Morales, Manuel Jesus Domínguez-Morales, Alejandro Linares-Barranco:
Sound Recognition System Using Spiking and MLP Neural Networks. 363-371 - Daniel Priori, Giseli de Sousa, Mauro Roisenberg, Christopher Stopford, Evelyn Hesse, Emmanuel Salawu, Neil Davey, Yi Sun:
Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns. 372-379 - Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? 380-387 - Daniel Araújo, Jhoseph Jesus, Adrião Duarte Dória Neto, Allan de M. Martins:
A Combination Method for Reducing Dimensionality in Large Datasets. 388-397 - Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño:
Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets. 398-405 - Samuel Berlemont, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia:
Polar Sine Based Siamese Neural Network for Gesture Recognition. 406-414 - Kheir Eddine Farfar, Mohamed Tarek Khadir:
Day Types Identification of Algerian Electricity Load Using an Image Based Two-Stage Approach. 415-422 - Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough:
SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. 423-430 - Rania Maalej, Monji Kherallah:
Improving MDLSTM for Offline Arabic Handwriting Recognition Using Dropout at Different Positions. 431-438 - Ala Aboudib, Vincent Gripon, Gilles Coppin:
A Neural Network Model for Solving the Feature Correspondence Problem. 439-446 - Amirhossein Jamalian, Frederik Beuth, Fred H. Hamker:
The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality. 447-454 - Rohan Ghosh, Siyi Tang, Mahdi Rasouli, Nitish V. Thakor, Sunil L. Kukreja:
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM. 455-462 - Antonio Jose Rodríguez-Sánchez, Sabine Oberleiter, Hanchen Xiong, Justus H. Piater:
Learning V4 Curvature Cell Populations from Sparse Endstopped Cells. 463-471 - Luiza Mici, German Ignacio Parisi, Stefan Wermter:
Recognition of Transitive Actions with Hierarchical Neural Network Learning. 472-479 - Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters. 480-488 - Benjamin Metka, Mathias Franzius, Ute Bauer-Wersing:
Improving Robustness of Slow Feature Analysis Based Localization Using Loop Closure Events. 489-496 - Jan Faigl, Petr Vána:
Self-Organizing Map for the Curvature-Constrained Traveling Salesman Problem. 497-505 - Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer:
Non-negative Kernel Sparse Coding for the Analysis of Motion Data. 506-514 - Arden Kuyumcu, Neslihan Serap Sengör:
Effect of Neural Controller on Adaptive Cruise Control. 515-522 - Maciej Majewski, Wojciech Kacalak:
Intelligent Speech-Based Interactive Communication Between Mobile Cranes and Their Human Operators. 523-530
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