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ORCID17. EANN 2016: Aberdeen, UK
- Chrisina Jayne
, Lazaros S. Iliadis:
Engineering Applications of Neural Networks - 17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings. Communications in Computer and Information Science 629, Springer 2016, ISBN 978-3-319-44187-0
Active Learning and Dynamic Environments
- Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan:
Deep Active Learning for Autonomous Navigation. 3-17 - Giovanni Luca Masala, Bruno Golosio, Massimo Tistarelli, Enrico Grosso:
2D Recurrent Neural Networks for Robust Visual Tracking of Non-Rigid Bodies. 18-34 - Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Choice of Best Samples for Building Ensembles in Dynamic Environments. 35-47
Semi-supervised Modeling
- Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas:
Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers. 51-63
Classification Applications
- Petr Hájek, Jana Bohácová:
Predicting Abnormal Bank Stock Returns Using Textual Analysis of Annual Reports - a Neural Network Approach. 67-78 - Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade:
Emotion Recognition Using Facial Expression Images for a Robotic Companion. 79-93 - Hana Schaabova, Vladimir Krajca, Vaclava Sedlmajerova, Olena Bukhtaieva, Lenka Lhotská, Jitka Mohylová, Svojmil Petránek:
Application of Artificial Neural Networks for Analyses of EEG Record with Semi-Automated Etalons Extraction: A Pilot Study. 94-107
Clustering Applications
- Adam Chudziak:
Economies Clustering Using SOM-Based Dissimilarity. 111-122 - Marcos A. Lévano, Andrea Albornoz:
Elastic Net Application: Case Study to Find Solutions for the TSP in a Beowulf Cluster Architecture. 123-133 - Aliyu Usman Ahmad, Andrew J. Starkey:
Comparison of Methods for Automated Feature Selection Using a Self-organising Map. 134-146 - Hassan Hamdoun, Aliyu Ahmad Usman:
EEG-Based Condition Clustering using Self-Organising Neural Network Map. 147-157
Cyber-Physical Systems and Cloud Applications
- Andrei Petrovski, Prapa Rattadilok, Sergey Petrovski:
Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance. 161-175 - Catalina Hernández, Sergio Villagrán, Paulo Alonso Gaona-García:
Predictive Model for Detecting MQ2 Gases Using Fuzzy Logic on IoT Devices. 176-185 - Ioannis M. Stephanakis, Syed Noor-ul-Hassan Shirazi, Antonios Gouglidis, David Hutchison:
A Multi-commodity Network Flow Model for Cloud Service Environments. 186-197 - Farzan Majdani, Andrei Petrovski, Daniel C. Doolan:
Designing a Context-Aware Cyber Physical System for Smart Conditional Monitoring of Platform Equipment. 198-210
Time-Series Prediction
- Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy:
Convolutional Radio Modulation Recognition Networks. 213-226 - Tianhong Liu, Haikun Wei, Chi Zhang, Kanjian Zhang:
Mutual Information with Parameter Determination Approach for Feature Selection in Multivariate Time Series Prediction. 227-237
Learning-Algorithms
- Toshinori Deguchi, Naohiro Ishii:
On Learning Parameters of Incremental Learning in Chaotic Neural Network. 241-252 - Alan J. Thomas, Simon D. Walters, Miltos Petridis, Saeed Malekshahi Gheytassi, Robert E. Morgan:
Accelerated Optimal Topology Search for Two-Hidden-Layer Feedforward Neural Networks. 253-266 - Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan:
An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests. 267-282 - Vera Kurková:
Lower Bounds on Complexity of Shallow Perceptron Networks. 283-294 - David Coufal:
Kernel Networks for Function Approximation. 295-306
Short Papers
- Ryotaro Kamimura:
Simple and Stable Internal Representation by Potential Mutual Information Maximization. 309-316 - Hazrat Ali, Nasir Ahmad, Abdul Hafeez:
Urdu Speech Corpus and Preliminary Results on Speech Recognition. 317-325 - Mario Malcangi, Hao Quan:
Bio-inspired Audio-Visual Speech Recognition Towards the Zero Instruction Set Computing. 326-334
Tutorials
- Marco Vannucci, Valentina Colla:
Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions. 337-351 - Silvia Cateni, Valentina Colla:
Variable Selection for Efficient Design of Machine Learning-Based Models: Efficient Approaches for Industrial Applications. 352-366
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