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ORCIDEAIS 2018: Rhodes, Greece
- Plamen Angelov, Yannis Manolopoulos, Edwin Lughofer, Lazaros S. Iliadis:
2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018, Rhodes, Greece, May 25-27, 2018. IEEE 2018, ISBN 978-1-5386-1376-4
Fuzzy
- Petr Hájek, Ondrej Prochazka, Wojciech Froelich
:
Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting. 1-7 - Kingsley Adjenughwure, Basil K. Papadopoulos:
Constructing fuzzy numbers from arbitrary statistical intervals. 1-6 - Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Incremental adaptive semi-supervised fuzzy clustering for data stream classification. 1-7 - George E. Tsekouras, Stamatis Chatzistamatis, Christos-Nikolaos Anagnostopoulos, Dimitrios Makris:
Color adaptation for protanopia using differential evolution-based fuzzy clustering: A case study in digitized paintings. 1-8 - Vardis-Dimitris Anezakis, Georgios Mallinis, Lazaros S. Iliadis, Konstantinos Demertzis:
Soft computing forecasting of cardiovascular and respiratory incidents based on climate change scenarios. 1-8 - Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis:
Active fuzzy rule induction. 1-8 - Paulo Vitor de Campos Souza, Gustavo Rodrigues Lacerda Silva, Luiz Carlos Bambirra Torres:
Uninorm based regularized fuzzy neural networks. 1-8
Learning (Deep - Adaptive)
- Nikolaos Passalis, Anastasios Tefas:
Deep reinforcement learning for frontal view person shooting using drones. 1-8 - Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
An adaptable deep learning system for optical character verification in retail food packaging. 1-8 - Omiros Iatrellis, Achilles Kameas, Panos Fitsilis:
EDUC8: Self-evolving and personalized learning pathways utilizing semantics. 1-8 - Stamatis Karlos, Nikos Fazakis, Konstantinos Kaleris, Vasileios G. Kanas, Sotiris Kotsiantis:
An incremental self-trained ensemble algorithm. 1-8
Machine Learning - Internet of Things
- Ádám Budai, Kristóf Csorba:
Supporting semi-automatic marble thin-section image segmentation with machine learning. 1-8 - Saemundur O. Haraldsson, Ragnheidur D. Brynjolfsdottir, Vilmundur Gudnason, Kristinn Tomasson, Kristin Siggeirsdottir:
Predicting changes in quality of life for patients in vocational rehabilitation. 1-8 - Kostas Kolomvatsos, Thanasis Loukopoulos:
Scheduling the execution of tasks at the edge. 1-8
Optimization - Evolution
- Salvador Hinojosa, Diego Oliva, Erik Cuevas, Marco Antonio Pérez Cisneros, Gonzalo Pajares:
Real-time video thresholding using evolutionary techniques and cross entropy. 1-8 - Timo Krallmann, Martin Döring, Marek Stess, Timo Graen, Michael Nolting:
Multi-objective optimization of charging infrastructure to improve suitability of commercial drivers for electric vehicles using real travel data. 1-8 - Edwin Lughofer, Robert Pollak, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Jasmin Lehner, Thomas Radauer, Mahardhika Pratama:
Evolving time-series based prediction models for quality criteria in a multi-stage production process. 1-10 - Osman Elgawi, A. M. Mutawa:
Embedded vision system with hardware acceleration. 1-5 - Gregor Cerne, Igor Skrjanc:
Initial study on evolving state space neural networks (eSSNN). 1-8 - Neil Vaughan:
Swarm communication by evolutionary algorithms. 1-9
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