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Publication search results
found 21 matches
- 2018
- Petr Hájek, Ondrej Prochazka, Wojciech Froelich:
Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting. EAIS 2018: 1-7 - Kingsley Adjenughwure, Basil K. Papadopoulos:
Constructing fuzzy numbers from arbitrary statistical intervals. EAIS 2018: 1-6 - Vardis-Dimitris Anezakis, Georgios Mallinis, Lazaros S. Iliadis, Konstantinos Demertzis:
Soft computing forecasting of cardiovascular and respiratory incidents based on climate change scenarios. EAIS 2018: 1-8 - Ádám Budai, Kristóf Csorba:
Supporting semi-automatic marble thin-section image segmentation with machine learning. EAIS 2018: 1-8 - Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Incremental adaptive semi-supervised fuzzy clustering for data stream classification. EAIS 2018: 1-7 - Gregor Cerne, Igor Skrjanc:
Initial study on evolving state space neural networks (eSSNN). EAIS 2018: 1-8 - Osman Elgawi, A. M. Mutawa:
Embedded vision system with hardware acceleration. EAIS 2018: 1-5 - Saemundur O. Haraldsson, Ragnheidur D. Brynjolfsdottir, Vilmundur Gudnason, Kristinn Tomasson, Kristin Siggeirsdottir:
Predicting changes in quality of life for patients in vocational rehabilitation. EAIS 2018: 1-8 - Salvador Hinojosa, Diego Oliva, Erik Cuevas, Marco Antonio Pérez Cisneros, Gonzalo Pajares:
Real-time video thresholding using evolutionary techniques and cross entropy. EAIS 2018: 1-8 - Omiros Iatrellis, Achilles Kameas, Panos Fitsilis:
EDUC8: Self-evolving and personalized learning pathways utilizing semantics. EAIS 2018: 1-8 - Aikaterini Karanikola, Stamatis Karlos, Vangjel Kazllarof, Eirini Kateri, Sotiris Kotsiantis:
Active fuzzy rule induction. EAIS 2018: 1-8 - Stamatis Karlos, Nikos Fazakis, Konstantinos Kaleris, Vasileios G. Kanas, Sotiris Kotsiantis:
An incremental self-trained ensemble algorithm. EAIS 2018: 1-8 - Kostas Kolomvatsos, Thanasis Loukopoulos:
Scheduling the execution of tasks at the edge. EAIS 2018: 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. EAIS 2018: 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. EAIS 2018: 1-10 - Nikolaos Passalis, Anastasios Tefas:
Deep reinforcement learning for frontal view person shooting using drones. EAIS 2018: 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. EAIS 2018: 1-8 - Paulo Vitor de Campos Souza, Gustavo Rodrigues Lacerda Silva, Luiz Carlos Bambirra Torres:
Uninorm based regularized fuzzy neural networks. EAIS 2018: 1-8 - 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. EAIS 2018: 1-8 - Neil Vaughan:
Swarm communication by evolutionary algorithms. EAIS 2018: 1-9 - 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 [contents]
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