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ORCID18th EANN 2017: Athens, Greece
- Giacomo Boracchi, Lazaros S. Iliadis, Chrisina Jayne, Aristidis Likas:
Engineering Applications of Neural Networks - 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017, Proceedings. Communications in Computer and Information Science 744, Springer 2017, ISBN 978-3-319-65171-2
ANN in Engineering Applications
- Shun Shibata, Yukimasa Kaneda, Hiroshi Mineno
:
Motion-Specialized Deep Convolutional Descriptor for Plant Water Stress Estimation. 3-14 - Antonio Morán Álvarez, Serafín Alonso, Miguel A. Prada, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, Manuel Domínguez-González:
Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders. 15-26 - Cosimo Ieracitano, Fabiola Pantò, Patrizia Frontera, Francesco Carlo Morabito:
A Neural Network Approach for Predicting the Diameters of Electrospun Polyvinylacetate (PVAc) Nanofibers. 27-38 - Michal Farkas, Peter Lacko:
Using Advanced Audio Generating Techniques to Model Electrical Energy Load. 39-48 - N. Varsha Prasad, Sriharini Tumu, A. Ruhan Bevi:
Memristor Based Chaotic Neural Network with Application in Nonlinear Cryptosystem. 49-60
Classification Pattern Recognition
- Ioannis E. Livieris, Konstantina Drakopoulou, Thodoris Kotsilieris, Vassilis Tampakas, Panagiotis E. Pintelas:
DSS-PSP - A Decision Support Software for Evaluating Students' Performance. 63-74 - Georgios Kostopoulos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, George A. Gravvanis:
Predicting Student Performance in Distance Higher Education Using Active Learning. 75-86 - Carlos Francisco Moreno-García, Eyad Elyan, Chrisina Jayne:
Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings. 87-98 - Andrianna Polydouri, Georgios Siolas, Andreas Stafylopatis:
Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learning. 99-110 - Christos K. Aridas, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis:
Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems. 111-121 - Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis:
A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems. 122-134
Deep Learning Convolutional ANN
- Alan Mosca, George D. Magoulas:
Boosted Residual Networks. 137-148 - Tiberiu Boros, Stefan Daniel Dumitrescu:
A Convolutional Approach to Multiword Expression Detection Based on Unsupervised Distributed Word Representations and Task-Driven Embedding of Lexical Features. 149-159 - Kazuhiko Takahashi, Iwao Sugimoto:
Remarks on Tea Leaves Aroma Recognition Using Deep Neural Network. 160-167 - Rafael Torres, Daniele Battaglino, Ludovick Lepauloux:
Baby Cry Sound Detection: A Comparison of Hand Crafted Features and Deep Learning Approach. 168-179
Deep Learning Image Analysis
- Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje:
Deep Convolutional Neural Networks for Fire Detection in Images. 183-193 - Nikolaos Passalis, Anastasios Tefas:
Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization. 194-204 - Paraskevi Nousi, Anastasios Tefas:
Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition. 205-215 - Adamu Ali-Gombe, Eyad Elyan, Chrisina Jayne:
Fish Classification in Context of Noisy Images. 216-226
Fuzzy - Neuro Fuzzy
- George E. Tsekouras, Vasilis Trygonis, Anastasios Rigos, Antonios Chatzipavlis, Dimitrios Tsolakis, Adonis F. Velegrakis:
Neuro-Fuzzy Network for Modeling the Shoreline Realignment of the Kamari Beach, Santorini, Greece. 229-241 - Panagiotis Pagouropoulos, Christos D. Tzimopoulos, Basil K. Papadopoulos:
A Method for the Detection of the Most Suitable Fuzzy Implication for Data Applications. 242-255 - Mario Malcangi, Hao Quan, Emanuele Vaini, Prospero Lombardi, Marco Di Rienzo:
Applying the EFuNN Evolving Paradigm to the Recognition of Artefactual Beats in Continuous Seismocardiogram Recordings. 256-264
Learning Generalization
- Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki:
Application of Asymmetric Networks to Movement Detection and Generating Independent Subspaces. 267-278 - Alan J. Thomas, Miltos Petridis, Simon D. Walters, Saeed Malekshahi Gheytassi, Robert E. Morgan:
Two Hidden Layers are Usually Better than One. 279-290 - Alexandros Nikolakakis, Dimitris Kalles:
Neural Networks as a Learning Component for Designing Board Games. 291-302 - Stavros Ntalampiras, Ilyas Potamitis:
Emotion Prediction of Sound Events Based on Transfer Learning. 303-313 - Stavros P. Adam, Aristidis C. Likas, Michael N. Vrahatis:
Interval Analysis Based Neural Network Inversion: A Means for Evaluating Generalization. 314-326 - Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
A Novel Adaptive Learning Rate Algorithm for Convolutional Neural Network Training. 327-336 - Vera Kurková:
Sparsity of Shallow Networks Representing Finite Mappings. 337-348
Learning in Financial applications
- Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas:
Using Active Learning Methods for Predicting Fraudulent Financial Statements. 351-362 - Torkil Aamodt, Jim Tørresen:
Comparing Neural Networks for Predicting Stock Markets. 363-375
Medical AI Applications
- Michael D. Vasilakakis, Dimitrios K. Iakovidis, Evaggelos Spyrou, Dimitris Chatzis, Anastasios Koulaouzidis:
Beyond Lesion Detection: Towards Semantic Interpretation of Endoscopy Videos. 379-390 - Athanasios Tagaris, Dimitrios Kollias, Andreas Stafylopatis:
Assessment of Parkinson's Disease Based on Deep Neural Networks. 391-403 - Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis:
Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning. 404-414
Optimization Data Mining
- Alexandros Tzanetos, Georgios Dounias:
A New Metaheuristic Method for Optimization: Sonar Inspired Optimization. 417-428 - Jose Simmonds, Juan A. Gómez, Agapito Ledezma:
Data Preprocessing to Enhance Flow Forecasting in a Tropical River Basin. 429-440 - Ioannis M. Stephanakis, Theodoros Iliou, George C. Anastassopoulos:
Information Feature Selection: Using Local Attribute Selections to Represent Connected Distributions in Complex Datasets. 441-450 - Amelia Badica, Costin Badica, Florin Leon, Daniela Danciulescu:
Optimization of Freight Transportation Brokerage Using Agents and Constraints. 451-464 - Georgios N. Dimitrakopoulos, Ioannis Kakkos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, Junhua Li, Yu Sun, Anastasios Bezerianos:
Driving Mental Fatigue Classification Based on Brain Functional Connectivity. 465-474
Recommendation Systems
- Panagiotis Kouris, Iraklis Varlamis, Georgios Alexandridis:
A Package Recommendation Framework Based on Collaborative Filtering and Preference Score Maximization. 477-489 - Haidar Almohri, Ratna Babu Chinnam:
Deriving Business Recommendations for Franchises Using Competitive Learning Driven MLP-Based Clustering. 490-497 - Orestis Nalmpantis, Christos Tjortjis:
The 50/50 Recommender: A Method Incorporating Personality into Movie Recommender Systems. 498-507 - Nikolaos Polatidis, Elias Pimenidis, Michalis Pavlidis, Haralambos Mouratidis:
Recommender Systems Meeting Security: From Product Recommendation to Cyber-Attack Prediction. 508-519
Robotics and Machine Vision
- Vedang Chauhan, Keyur D. Joshi, Brian W. Surgenor:
Machine Vision for Coin Recognition with ANNs: Effect of Training and Testing Parameters. 523-534 - Doina Logofatu, Gil Sobol, Daniel Stamate:
Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves. 535-543 - Danish Shaikh, Poramate Manoonpong:
A Neural Circuit for Acoustic Navigation Combining Heterosynaptic and Non-synaptic Plasticity That Learns Stable Trajectories. 544-555
MHDW2017
- Nickie Lefevr, Spiridoula V. Margariti, Andreas Kanavos, Athanasios K. Tsakalidis:
An Implementation of Disease Spreading over Biological Networks. 559-569 - Dimos Makris, Maximos Kaliakatsos-Papakostas, Ioannis Karydis, Katia Lida Kermanidis:
Combining LSTM and Feed Forward Neural Networks for Conditional Rhythm Composition. 570-582 - Hayam Alamro, Mai Alzamel, Costas S. Iliopoulos, Solon P. Pissis, Steven Watts, Wing-Kin Sung:
Efficient Identification of k-Closed Strings. 583-595 - Eirini Chioti, Elias Dritsas, Andreas Kanavos, Xenophon Liapakis, Spyros Sioutas, Athanasios K. Tsakalidis:
Bloom Filters for Efficient Coupling Between Tables of a Database. 596-608 - Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Münire Kilinç Toprak, Hamit Erdem, Hasan Ogul:
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis. 609-619 - Mai Alzamel, Jia Gao, Costas S. Iliopoulos, Chang Liu, Solon P. Pissis:
Efficient Computation of Palindromes in Sequences with Uncertainties. 620-629 - Georgios Drakopoulos, Fotini Stathopoulou, Giannis Tzimas, Michael Paraskevas, Phivos Mylonas, Spyros Sioutas:
A Genetic Algorithm for Discovering Linguistic Communities in Spatiosocial Tensors with an Application to Trilingual Luxemburg. 630-644 - Oxana Kalita, Vladimir Denisenko, Anatoly Tryapelnikov, Fotis Nanopoulos, Georgios Pavlidis:
Analyzing the Mobile Learning System Behavior: The Case of the Russian Verbs of Motion. 645-654
5GPINE2017
- Ioannis P. Chochliouros, Oriol Sallent, Jordi Pérez-Romero, Anastasia S. Spiliopoulou, Athanassios Dardamanis:
Implications of Multi-tenancy upon RRM/Self-x Functions Supporting Mobility Control. 657-668 - Ruben Solozabal, Bego Blanco, Jose Oscar Fajardo, Ianire Taboada, Fidel Liberal, Elisa Jimeno, Javier Garcia Lloreda:
Design of Virtual Infrastructure Manager with Novel VNF Placement Features for Edge Clouds in 5G. 669-679 - Jordi Pérez-Romero, Juan Sánchez-González, Oriol Sallent, Alan Whitehead:
On Introducing Knowledge Discovery Capabilities in Cloud-Enabled Small Cells. 680-692 - Ioannis Neokosmidis, Theodoros Rokkas, Ioannis P. Chochliouros, Leonardo Goratti, Haralambos Mouratidis, Karim M. Nasr, Seiamak Vahid, Klaus Moessner, Antonino Albanese, Paolo Secondo Crosta, Pietro Paglierani:
Are Small Cells and Network Intelligence at the Edge the Drivers for 5G Market Adoption? The SESAME Case. 693-703 - Ioannis P. Chochliouros, Anastasia S. Spiliopoulou, Alexandros Kostopoulos, Maria Belesioti, Evangelos Sfakianakis, Philippos Georgantas, Eirini Vasilaki, Ioannis Neokosmidis, Theodoros Rokkas, Athanassios Dardamanis:
Putting Intelligence in the Network Edge Through NFV and Cloud Computing: The SESAME Approach. 704-715 - Ioannis P. Chochliouros, Alan Whitehead, Oriol Sallent, Jordi Pérez-Romero, Anastasia S. Spiliopoulou, Athanassios Dardamanis:
Inclusion of "Self-x" Properties in the SESAME-Based Wireless Backhaul for Support of Higher Performance. 716-727 - Leonardo Goratti, Cristina E. Costa, Jordi Pérez-Romero, Pouria Sayyad Khodashenas, Alan Whitehead, Ioannis P. Chochliouros:
The Role of Virtualization in the Small Cell Enabled Mobile Edge Computing Ecosystem. 728-733
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