Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID26. ICANN 2017: Alghero, Italy
- Alessandra Lintas
, Stefano Rovetta, Paul F. M. J. Verschure, Alessandro E. P. Villa:
Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10614, Springer 2017, ISBN 978-3-319-68611-0
Convolutional Neural Networks
- Jacques Kaiser, David Zimmerer, Juan Camilo Vasquez Tieck, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
Spiking Convolutional Deep Belief Networks. 3-11 - Darian Frajberg, Piero Fraternali, Rocio Nahime Torres:
Convolutional Neural Network for Pixel-Wise Skyline Detection. 12-20 - Partha Maji, Robert D. Mullins:
1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation. 21-29 - Ting Zhang, Yujian Li, Zhaoying Liu:
Shortcut Convolutional Neural Networks for Classification of Gender and Texture. 30-39 - Shangdi Sun, Xiaodong Gu:
Word Embedding Dropout and Variable-Length Convolution Window in Convolutional Neural Network for Sentiment Classification. 40-48 - Bingzhe Wu, Zhichao Liu, Zhihang Yuan, Guangyu Sun, Charles Wu:
Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer. 49-55 - Qi Wang, Jungang Xu, Ben He, Zhengcai Qin:
An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation. 56-63 - Adrian-Catalin Florea, John Anvik, Razvan Andonie:
Parallel Implementation of a Bug Report Assignment Recommender Using Deep Learning. 64-71 - Renato Hidaka Torres, Orlando Ohashi, Eduardo Carvalho, Gustavo Pessin:
A Deep Learning Approach to Detect Distracted Drivers Using a Mobile Phone. 72-79 - Xianglai Meng, Biao Leng, Guanglu Song:
A Multi-level Weighted Representation for Person Re-identification. 80-88
Games and Strategy
- Ishai Rosenberg, Guillaume Sicard, Eli (Omid) David:
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks. 91-99 - Shihori Uchida, Shigeyuki Oba, Shin Ishii:
Estimation of the Change of Agents Behavior Strategy Using State-Action History. 100-107
Boltzmann Machines and Phase Transitions
- Srikanth Cherla, Son Ngoc Tran, Artur S. d'Avila Garcez, Tillman Weyde:
Generalising the Discriminative Restricted Boltzmann Machines. 111-119 - Simon Odense, Artur S. d'Avila Garcez:
Extracting M of N Rules from Restricted Boltzmann Machines. 120-127 - Krzysztof Gajowniczek, Leszek J. Chmielewski, Arkadiusz Orlowski, Tomasz Zabkowski:
Generalized Entropy Cost Function in Neural Networks. 128-136 - Yuya Yoshikawa:
Learning from Noisy Label Distributions. 137-145 - Masahiro Kohjima, Sumio Watanabe:
Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization. 146-154 - Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa:
Link Enrichment for Diffusion-Based Graph Node Kernels. 155-162
Context Information Learning and Self-assessment in Advanced Machine Learning Models
- Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki:
Classless Association Using Neural Networks. 165-173 - Yasuaki Kuroe, Hajimu Kawakami:
Shape from Shading by Model Inclusive Learning Method with Simultaneous Estimation of Parameters. 174-182 - Ivano Lauriola, Mirko Polato, Fabio Aiolli:
Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning. 183-191 - Katerina Kalou, Agostino Gibaldi, Andrea Canessa, Silvio P. Sabatini:
Learning a Compositional Hierarchy of Disparity Descriptors for 3D Orientation Estimation in an Active Fixation Setting. 192-199 - Jennifer Kreger, Lydia Fischer, Stephan Hasler, Thomas H. Weisswange, Ute Bauer-Wersing:
A Priori Reliability Prediction with Meta-Learning Based on Context Information. 200-207 - Jingshuang Liu, Wenge Rong, Chuan Tian, Min Gao, Zhang Xiong:
Attention Aware Semi-supervised Framework for Sentiment Analysis. 208-215 - Tian Tian, Weiran Xu:
Chinese Lexical Normalization Based on Information Extraction: An Experimental Study. 216-223 - Ángel Pérez-Lemonche, Gonzalo Martínez-Muñoz, Estrella Pulido-Cañabate:
Analysing Event Transitions to Discover Student Roles and Predict Grades in MOOCs. 224-232 - Antonios Karatzoglou, Harun Sentürk, Adrian Jablonski, Michael Beigl:
Applying Artificial Neural Networks on Two-Layer Semantic Trajectories for Predicting the Next Semantic Location. 233-241 - Jianglong Song, Chengzhang Zhu, Wentao Zhao, Wenjie Liu, Qiang Liu:
Model-Aware Representation Learning for Categorical Data with Hierarchical Couplings. 242-249 - Cristina Vatamanu, Doina Cosovan, Dragos Gavrilut, Henri Luchian:
Perceptron-Based Ensembles and Binary Decision Trees for Malware Detection. 250-259 - Rolla Almodfer, Shengwu Xiong, Mohammed Mudhsh, Pengfei Duan:
Multi-column Deep Neural Network for Offline Arabic Handwriting Recognition. 260-267 - Brendon Boldt:
Using LSTMs to Model the Java Programming Language. 268-275
Representation and Classification
- Mirko Polato, Ivano Lauriola, Fabio Aiolli:
Classification of Categorical Data in the Feature Space of Monotone DNFs. 279-286 - Ido Cohen, Eli (Omid) David, Nathan S. Netanyahu, Noa Liscovitch, Gal Chechik:
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders. 287-296 - Jianrong Li, Jianhua Zhang:
Mental Workload Classification Based on Semi-Supervised Extreme Learning Machine. 297-304 - Hong Yu, Yahong Lian, Shu Li, JiaXin Chen:
View-Weighted Multi-view K-means Clustering. 305-312 - Frank-Michael Schleif:
Indefinite Support Vector Regression. 313-321 - Yao Lu, Chunyun Zhang, Weiran Xu:
Instance-Adaptive Attention Mechanism for Relation Classification. 322-330 - Alessandro Lulli, Luca Oneto, Davide Anguita:
ReForeSt: Random Forests in Apache Spark. 331-339 - Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization. 340-348 - Fady Medhat, David Chesmore, John Robinson:
Masked Conditional Neural Networks for Audio Classification. 349-358 - Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo:
A Feature Selection Approach Based on Information Theory for Classification Tasks. 359-367 - Ladislav Lenc, Pavel Král:
Two-Level Neural Network for Multi-label Document Classification. 368-375 - Thais Viana, Carla Delgado, João C. P. da Silva, Priscila Lima:
Ontology Alignment with Weightless Neural Networks. 376-384 - Luca Oneto, Andrea Coraddu, Paolo Sanetti, Olena Karpenko, Francesca Cipollini, Toine Cleophas, Davide Anguita:
Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction. 385-393 - Dongyun Liang, Weiran Xu, Yinge Zhao:
Combining Character-Level Representation for Relation Classification. 394-401 - Ricardo A. M. da Silva, Francisco de A. T. de Carvalho:
On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables. 402-410 - Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili, Dharavath Ramesh:
PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data. 411-419
Clustering
- Felix Sommer, François Fouss, Marco Saerens:
Modularity-Driven Kernel k-means for Community Detection. 423-433 - Stefano Rovetta, Francesco Masulli, Alberto Cabri:
Measuring Clustering Model Complexity. 434-441 - Feng Gu, Wenju Zhang, Xiang Zhang, Chenxu Wang, Xuhui Huang, Zhigang Luo:
GNMF Revisited: Joint Robust k-NN Graph and Reconstruction-Based Graph Regularization for Image Clustering. 442-449 - Ramzi Zouari, Houcine Boubaker, Monji Kherallah:
Two Staged Fuzzy SVM Algorithm and Beta-Elliptic Model for Online Arabic Handwriting Recognition. 450-458 - Kazuki Osawa, Rio Yokota:
Evaluating the Compression Efficiency of the Filters in Convolutional Neural Networks. 459-466 - Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João C. Xavier Junior:
Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity. 467-474
Learning from Data Streams and Time Series
- Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter:
Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance. 477-485 - Zheng Wang, Irena Koprinska, Mashud Rana:
Solar Power Forecasting Using Pattern Sequences. 486-494 - Andrew D. Mann, Denise Gorse:
A New Methodology to Exploit Predictive Power in (Open, High, Low, Close) Data. 495-502 - Eric A. Antonelo, Radu State:
Recurrent Dynamical Projection for Time Series-Based Fraud Detection. 503-511 - Angel Cataron, Razvan Andonie:
Transfer Information Energy: A Quantitative Causality Indicator Between Time Series. 512-519 - Fernando Gama, Helder M. Arruda, Hanna V. Carvalho, Paulo A. de Souza, Gustavo Pessin:
Improving Our Understanding of the Behavior of Bees Through Anomaly Detection Techniques. 520-527 - Stefan Reitmann, Karl Nachtigall:
Applying Bidirectional Long Short-Term Memories (BLSTM) to Performance Data in Air Traffic Management for System Identification. 528-536
Image Processing and Medical Applications
- Yanyan Geng, Guohui Zhang, Weizhi Li, Yi Gu, Ru-Ze Liang, Gaoyuan Liang, Jingbin Wang, Yanbin Wu, Nitin Patil, Jingyan Wang:
A Novel Image Tag Completion Method Based on Convolutional Neural Transformation. 539-546 - Mengjun Ni, Jing Yang, Xin Lin, Liang He:
Reducing Unknown Unknowns with Guidance in Image Caption. 547-555 - Ying Liu, Hongyuan Cui, Guoqing Li:
A Novel Method for Ship Detection and Classification on Remote Sensing Images. 556-564 - Na Ai, Jinye Peng, Jun Wang, Lin Wang, Jin Qi:
Single Image Super-Resolution by Learned Double Sparsity Dictionaries Combining Bootstrapping Method. 565-573 - Weijiang Feng, Xiang Zhang, Xuhui Huang, Zhigang Luo:
Attention Focused Spatial Pyramid Pooling for Boxless Action Recognition in Still Images. 574-581 - Miguel D. de S. Wanderley, Leonardo de A. e Bueno, Cleber Zanchettin, Adriano L. I. Oliveira:
The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks. 582-589 - Pablo S. Aulestia, Jonathan S. Talahua, Víctor H. Andaluz, Marco E. Benalcázar:
Real-Time Face Detection Using Artificial Neural Networks. 590-599 - Ricardo García-Ródenas, Luis Jimenez Linares, Julio Alberto López-Gómez:
On the Performance of Classic and Deep Neural Models in Image Recognition. 600-608 - Zelong Wang, Qiang Lan, Hongjun He, Chunyuan Zhang:
Winograd Algorithm for 3D Convolution Neural Networks. 609-616 - Manohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay:
Core Sampling Framework for Pixel Classification. 617-625 - Francesco Calimeri, Aldo Marzullo, Claudio Stamile, Giorgio Terracina:
Biomedical Data Augmentation Using Generative Adversarial Neural Networks. 626-634 - Gabriel García, Jhair Gallardo, Antoni Mauricio, Jorge López, Christian Del Carpio:
Detection of Diabetic Retinopathy Based on a Convolutional Neural Network Using Retinal Fundus Images. 635-642 - Adrian Ion-Margineanu, Gabriel Kocevar, Claudio Stamile, Diana Maria Sima, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier:
A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations. 643-651
Advances in Machine Learning
- Yuya Okadome, Wenpeng Wei, Toshiko Aizono:
Parallel-Pathway Generator for Generative Adversarial Networks to Generate High-Resolution Natural Images. 655-662 - Rajkumar Ramamurthy, Christian Bauckhage, Krisztián Búza, Stefan Wrobel:
Using Echo State Networks for Cryptography. 663-671 - Tikara Hosino:
Two Alternative Criteria for a Split-Merge MCMC on Dirichlet Process Mixture Models. 672-679 - Gang Ren, Qingsong Hua, Pan Deng, Chao Yang:
FP-MRBP: Fine-grained Parallel MapReduce Back Propagation Algorithm. 680-687 - Shuchang Zhou, He Wen, Taihong Xiao, Xinyu Zhou:
IQNN: Training Quantized Neural Networks with Iterative Optimizations. 688-695 - Zi-Yi Dou, Shujian Huang, Yi-Fan Su:
Compressing Neural Networks by Applying Frequent Item-Set Mining. 696-704 - Rui Yang, Yukio Ohsawa:
Applying the Heavy-Tailed Kernel to the Gaussian Process Regression for Modeling Point of Sale Data. 705-712 - Tatsuuya Okada, Yuko Osana:
Chaotic Associative Memory with Adaptive Scaling Factor. 713-721
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-06-18 21:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
