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ORCID19th EANN 2018: Bristol, UK
- Elias Pimenidis, Chrisina Jayne:
Engineering Applications of Neural Networks - 19th International Conference, EANN 2018, Bristol, UK, September 3-5, 2018, Proceedings. Communications in Computer and Information Science 893, Springer 2018, ISBN 978-3-319-98203-8
Activity Recognition
- Prankit Gupta
, Praminda Caleb-Solly:
A Framework for Semi-Supervised Adaptive Learning for Activity Recognition in Healthcare Applications. 3-15 - Vincent Polfliet, Nicolas Knudde, Baptist Vandersmissen, Ivo Couckuyt, Tom Dhaene:
Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. 16-27
Deep Learning
- Ahmed Hussein, Eyad Elyan, Chrisina Jayne:
Deep Imitation Learning with Memory for Robocup Soccer Simulation. 31-43 - Pamela Johnston, Eyad Elyan, Chrisina Jayne:
Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels. 44-57 - Dingqian Zhang, Hui Zhang, Haichang Li, Xiaohui Hu:
RR-FCN: Rotational Region-Based Fully Convolutional Networks for Object Detection. 58-70 - Bryan Kneis:
Face Detection for Crowd Analysis Using Deep Convolutional Neural Networks. 71-80
Extreme Learning Machine and Machine Learning Applications
- Qin-Wei Fan, Xingshi He, Xin-She Yang:
Smoothing Regularized Extreme Learning Machine. 83-93 - Svein Inge Albrigtsen, Alexander Imenes, Morten Goodwin, Lei Jiao, Vimala Nunavath:
Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character. 94-105 - Benedikt Nork, Geraldine Denise Lengert, Robert Uwe Litschel, Nasim Ahmad, Gia Thuan Lam, Doina Logofatu:
Machine Learning with the Pong Game: A Case Study. 106-117 - Muhammad Ishaq, Mazhar Hussain Malik, Mehmet Emin Aydin:
Managing Congestion in Vehicular Networks Using Tabu Search. 118-129 - Elif Merve Kurt, Yasar Becerikli:
Network Intrusion Detection on Apache Spark with Machine Learning Algorithms. 130-141
Predictive Models, Fuzzy and Recommender Systems
- Gharbi Alshammari, Stelios Kapetanakis, Nikolaos Polatidis, Miltos Petridis:
A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations. 145-157 - Mario Malcangi, Giovanni Felisati, Alberto M. Saibene, Enrico Alfonsi, Mauro Fresia, Roberto Maffioletti, Hao Quan:
Myo-To-Speech - Evolving Fuzzy-Neural Network Prediction of Speech Utterances from Myoelectric Signals. 158-168 - Mario Dib, Bernardete Ribeiro, Pedro A. Prates:
Model Prediction of Defects in Sheet Metal Forming Processes. 169-180 - Özer Uygun, Ilker Güven, Fuat Simsir, Mehmet Emin Aydin:
Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques. 181-193 - Nikolaos Polatidis, Elias Pimenidis:
Reproduction of Experiments in Recommender Systems Evaluation Based on Explanations. 194-200
Recurrent Neural Networks and Spiking Neural Networks
- Timothy Wong, Zhiyuan Luo:
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis. 203-216 - Vimala Nunavath, Morten Goodwin, Jahn Thomas Fidje, Carl Erik Moe:
Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease. 217-228 - Nathan Duran, Steve Battle:
Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural Networks. 229-239 - Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran:
Acceleration of Convolutional Networks Using Nanoscale Memristive Devices. 240-251 - Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki:
Comparison of Asymmetric and Symmetric Neural Networks with Gabor Filters. 252-263
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