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Vassilis P. Plagianakos
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2020 – today
- 2024
- [j38]Kalliopi-Maria Stathopoulou, Spiros V. Georgakopoulos
, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation. Health Inf. Sci. Syst. 12(1): 14 (2024) - [j37]Nikos Bessas
Implementing the Flipped Classroom Model in Science Lessons for Junior High School Students. Int. J. Emerg. Technol. Learn. 19(3): 4-21 (2024) - [j36]Eleni Tzanaki
An Interdisciplinary Educational Proposal in Junior High School: The Fractal Geometry in Science, Computer Science and Art Lessons. Int. J. Emerg. Technol. Learn. 19(3): 35-45 (2024) - [c80]Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification. CEC 2024: 1-8 - [c79]Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum. CEC 2024: 1-8 - [c78]Steve Stavropoulos, Elissavet Zacharopoulou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Artemis G. Hatzigeorgiou:
Leveraging Large Language Models for Information Extraction: Identifying microRNA - Gene Interactions in Biomedical Literature. CIBCB 2024: 1-7 - [c77]Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
HCER: Hierarchical Clustering-Ensemble Regressor. EANN 2024: 369-378 - [c76]Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum. EANN 2024: 544-557 - [c75]Petros Spachos, Vassilis P. Plagianakos:
SocialNetView: Optimization of Wireless Communication for Social Media Interaction. ICC 2024: 521-526 - [i7]Panagiotis C. Theocharopoulos
Who Writes the Review, Human or AI? CoRR abs/2405.20285 (2024) - 2023
- [j35]Panagiotis Anagnostou
HiPart: Hierarchical Divisive Clustering Toolbox. J. Open Source Softw. 8(83): 5024 (2023) - [j34]Panagiotis C. Theocharopoulos
Analysing sentiment change detection of Covid-19 tweets. Neural Comput. Appl. 35(29): 21433-21443 (2023) - [j33]Ioannis A. Nellas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos
Two phase cooperative learning for supervised dimensionality reduction. Pattern Recognit. 144: 109871 (2023) - [c74]Panagiotis Anagnostou
Neural Networks Voting for Projection Based Ensemble Classifiers. IEEE Big Data 2023: 4567-4574 - [c73]Panagiotis C. Theocharopoulos
Detection of Fake Generated Scientific Abstracts. BigDataService 2023: 33-39 - [c72]Angeliki Katsika, Konstantinos Papageorgiou, Alexandros Fakis, Vassilis P. Plagianakos, Georgios P. Spathoulas:
An Efficient and Lightweight Commitment Scheme for IoT Data Streams. DCOSS-IoT 2023: 461-468 - [c71]Kalliopi Tsiampa, Lili Zhu, Petros Spachos, Vassilis P. Plagianakos:
Investigating Feasibility of Stress Detection from Social Media Content Through Wearables. GLOBECOM 2023: 1173-1178 - [c70]Angeliki Katsika, Konstantinos Papageorgiou, Alexandros Fakis, Athanasios Kakarountas, Fotis Andritsopoulos, Vassilis P. Plagianakos, Georgios P. Spathoulas:
Compressing Time Series Towards Lightweight Integrity Commitments. SEEDA-CECNSM 2023: 1-7 - [i6]Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos
Detection of Fake Generated Scientific Abstracts. CoRR abs/2304.06148 (2023) - [i5]Lydia Negka, Angeliki Katsika, Georgios P. Spathoulas, Vassilis P. Plagianakos:
ORIGAMI: A flexible state channels design for public blockchain systems. CoRR abs/2304.10313 (2023) - 2022
- [j32]Petros Barmpas
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. Health Inf. Sci. Syst. 10(1): 6 (2022) - [c69]Konstantinos Lazaros, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. IEEE Big Data 2022: 3891-3894 - [c68]Panagiotis C. Theocharopoulos
Text Analysis of COVID-19 Tweets. EANN 2022: 517-528 - [c67]Spiros V. Georgakopoulos
Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. IJCNN 2022: 1-9 - [i4]Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos
Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders. CoRR abs/2208.12152 (2022) - [i3]Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
HiPart: Hierarchical Divisive Clustering Toolbox. CoRR abs/2209.08680 (2022) - 2021
- [j31]Panagiotis Anagnostou
Enhancing the Human Health Status Prediction: The ATHLOS Project. Appl. Artif. Intell. 35(11): 834-856 (2021) - [c66]Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data. CIBB 2021: 227-241 - [c65]Konstantinos Karitis, Parisis Gallos, Ioannis S. Triantafyllou, Vassilis P. Plagianakos:
Chios Hospital Information System Assessment. EFMI-STC 2021: 158-162 - [c64]Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Convolutional Variational Autoencoders for Image Clustering. ICDM (Workshops) 2021: 695-702 - 2020
- [j30]Aristidis G. Vrahatis, Sotiris K. Tasoulis, Spiros V. Georgakopoulos
Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data. Inf. 11(11): 502 (2020) - [j29]Spiros V. Georgakopoulos
Change detection and convolution neural networks for fall recognition. Neural Comput. Appl. 32(23): 17245-17258 (2020) - [c63]Kostas Delibasis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos:
On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning. EANN 2020: 377-388 - [c62]George Kostikidis, Parisis Gallos
Citizens' Opinions About a Digital Health Insurance Record. EFMI-STC 2020: 230-231 - [c61]Spiros V. Georgakopoulos
How to Extract and Explore Big Data for Fraud Detection in the Healthcare Sector: The EOPYY Case Study. MIE 2020: 1307-1308 - [p2]Aristidis G. Vrahatis, Sotiris K. Tasoulis, Ilias Maglogiannis
Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis. Advanced Computational Intelligence in Healthcare (7) 2020: 65-79
2010 – 2019
- 2019
- [j28]Yannis Manolopoulos, Vassilis P. Plagianakos:
Editorial. Int. J. Artif. Intell. Tools 28(8): 1902003:1-1902003:3 (2019) - [j27]Spiros V. Georgakopoulos
Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters. Neural Comput. Appl. 31(6): 1805-1822 (2019) - [c60]Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces. BIBE 2019: 846-849 - [c59]Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos
Single-cell regulatory network inference and clustering from high-dimensional sequencing data. IEEE BigData 2019: 2782-2789 - [c58]Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos
A single-cell Systems Biology approach for disease-specific subpathway extraction. CIBCB 2019: 1-7 - [c57]Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos
Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. CIBCB 2019: 1-6 - [c56]Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos
Deep Learning and Change Detection for Fall Recognition. EANN 2019: 262-273 - [c55]Spiros V. Georgakopoulos
Efficient Learning Rate Adaptation for Convolutional Neural Network Training. IJCNN 2019: 1-8 - [c54]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Twitter Text Toxicity Analysis. INNSBDDL 2019: 370-379 - 2018
- [j26]Manolis Koubarakis, George A. Vouros
AI in Greece: The Case of Research on Linked Geospa al Data. AI Mag. 39(2): 91-96 (2018) - [j25]Spiros V. Georgakopoulos
Pose recognition using convolutional neural networks on omni-directional images. Neurocomputing 280: 23-31 (2018) - [j24]Konstantina Kottari
Real time vision-based measurements for quality control of industrial rods on a moving conveyor. Multim. Tools Appl. 77(8): 9307-9324 (2018) - [j23]Dimitrios K. Iakovidis
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification. IEEE Trans. Medical Imaging 37(10): 2196-2210 (2018) - [c53]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos
Biomedical Data Ensemble Classification using Random Projections. IEEE BigData 2018: 166-172 - [c52]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos
Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections. IEEE BigData 2018: 5448-5450 - [c51]Kostas Delibasis
Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification. ICANN (1) 2018: 188-196 - [c50]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos
Real Time Sentiment Change Detection of Twitter Data Streams. INISTA 2018: 1-6 - [c49]Spiros V. Georgakopoulos
Convolutional Neural Networks for Toxic Comment Classification. SETN 2018: 35:1-35:6 - [c48]Georgios N. Dimitrakopoulos
Pathway analysis using XGBoost classification in Biomedical Data. SETN 2018: 46:1-46:6 - [e4]Lazaros S. Iliadis, Ilias Maglogiannis, Vassilis P. Plagianakos:
Artificial Intelligence Applications and Innovations - 14th IFIP WG 12.5 International Conference, AIAI 2018, Rhodes, Greece, May 25-27, 2018, Proceedings. IFIP Advances in Information and Communication Technology 519, Springer 2018, ISBN 978-3-319-92006-1 [contents] - [e3]Lazaros S. Iliadis, Ilias Maglogiannis, Vassilis P. Plagianakos:
Artificial Intelligence Applications and Innovations - AIAI 2018 IFIP WG 12.5 International Workshops, SEDSEAL, 5G-PINE, MHDW, and HEALTHIOT, Rhodes, Greece, May 25-27, 2018, Proceedings. IFIP Advances in Information and Communication Technology 520, Springer 2018, ISBN 978-3-319-92015-3 [contents] - [i2]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Toxic Comment Classification. CoRR abs/1802.09957 (2018) - [i1]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Real Time Sentiment Change Detection of Twitter Data Streams. CoRR abs/1804.00482 (2018) - 2017
- [c47]Spiros V. Georgakopoulos
A Novel Adaptive Learning Rate Algorithm for Convolutional Neural Network Training. EANN 2017: 327-336 - [c46]Spiros V. Georgakopoulos
Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning. EANN 2017: 404-414 - [c45]Dimosthenis Kyriazis
CrowdHEALTH: Holistic Health Records and Big Data Analytics for Health Policy Making and Personalized Health. ICIMTH 2017: 19-23 - [e2]Vasileios Vlachos, Ilias K. Savvas, Cleo Sgouropoulou, Vassilis P. Plagianakos, Christos Douligeris, Ioannis Voyiatzis, Vassilis Tampakas, George Soultis:
Proceedings of the 21st Pan-Hellenic Conference on Informatics, Larissa, Greece, September 28-30, 2017. ACM 2017, ISBN 978-1-4503-5355-7 [contents] - 2016
- [j22]Konstantinos K. Delibasis
Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images. Integr. Comput. Aided Eng. 23(2): 185-199 (2016) - [c44]Spiros V. Georgakopoulos
Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images. AIAI 2016: 106-116 - [c43]Konstantinos K. Delibasis
Silhouette labeling and tracking in calibrated omnidirectional video sequences. PETRA 2016: 4 - 2015
- [j21]Konstantinos K. Delibasis
Estimation of Robot Position and Orientation Using a Stationary Fisheye Camera. Int. J. Artif. Intell. Tools 24(6): 1560004:1-1560004:16 (2015) - [j20]Ilias Maglogiannis
A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images. Inf. Sci. 308: 125-139 (2015) - [c42]Spiros V. Georgakopoulos
Efficient change detection for high dimensional data streams. IEEE BigData 2015: 2219-2222 - [c41]Spiros V. Georgakopoulos
On-Line Fall Detection via Mobile Accelerometer Data. AIAI 2015: 103-112 - 2014
- [j19]Sotiris K. Tasoulis, Ilias Maglogiannis
Fractal analysis and fuzzy c-means clustering for quantification of fibrotic microscopy images. Artif. Intell. Rev. 42(3): 313-329 (2014) - [j18]Konstantinos K. Delibasis
Refinement of human silhouette segmentation in omni-directional indoor videos. Comput. Vis. Image Underst. 128: 65-83 (2014) - [c40]Vassilis P. Plagianakos:
Unsupervised clustering and multi-optima evolutionary search. IEEE Congress on Evolutionary Computation 2014: 2383-2390 - [c39]Konstantinos K. Delibasis
Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images. AIAI 2014: 375-384 - [c38]Konstantina Kottari
Fish-Eye Camera Video Processing and Trajectory Estimation Using 3D Human Models. AIAI 2014: 385-394 - [c37]Konstantinos K. Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
Pose Recognition in Indoor Environments using a Fisheye Camera and a Parametric Human Model. VISAPP (2) 2014: 470-477 - 2013
- [j17]Sotiris K. Tasoulis, Charalampos N. Doukas, Vassilis P. Plagianakos, Ilias Maglogiannis
Statistical data mining of streaming motion data for activity and fall recognition in assistive environments. Neurocomputing 107: 87-96 (2013) - [j16]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Random direction divisive clustering. Pattern Recognit. Lett. 34(2): 131-139 (2013) - [c36]Konstantinos K. Delibasis
Human segmentation and pose recognition in fish-eye video for assistive environments. BIBE 2013: 1-5 - [c35]Vassilis P. Plagianakos:
Multi-optima search using Differential Evolution and unsupervised clustering. IEEE Congress on Evolutionary Computation 2013: 2178-2185 - [c34]Spiros V. Georgakopoulos
Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images. EANN (1) 2013: 292-301 - [c33]Konstantinos K. Delibasis
Real Time Indoor Robot Localization Using a Stationary Fisheye Camera. AIAI 2013: 245-254 - [c32]Konstantinos K. Delibasis
Fisheye camera modeling for human segmentation refinement in indoor videos. PETRA 2013: 37:1-37:8 - 2012
- [j15]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach. Inf. Sci. 216: 50-92 (2012) - [c31]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Multimodal optimization using niching differential evolution with index-based neighborhoods. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c30]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis
Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c29]Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
Density based Projection Pursuit Clustering. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c28]Sotiris K. Tasoulis, Ilias Maglogiannis
Unsupervised Detection of Fibrosis in Microscopy Images Using Fractals and Fuzzy c-Means Clustering. AIAI (1) 2012: 385-394 - [c27]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis
Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. SETN 2012: 214-222 - [c26]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Clustering of High Dimensional Data Streams. SETN 2012: 223-230 - [e1]Ilias Maglogiannis, Vassilis P. Plagianakos, Ioannis P. Vlahavas:
Artificial Intelligence: Theories and Applications - 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012. Proceedings. Lecture Notes in Computer Science 7297, Springer 2012, ISBN 978-3-642-30447-7 [contents] - 2011
- [j14]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. IEEE Trans. Evol. Comput. 15(1): 99-119 (2011) - [c25]Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis
Statistical data mining of streaming motion data for fall detection in assistive environments. EMBC 2011: 3720-3723 - [c24]Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis
Independent Component Clustering for Skin Lesions Characterization. EANN/AIAI (2) 2011: 472-482 - [c23]Vassilis Pigadas, Charalampos Doukas, Vassilis P. Plagianakos, Ilias Maglogiannis:
Enabling constant monitoring of chronic patient using Android smart phones. PETRA 2011: 63 - [c22]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Finding multiple global optima exploiting differential evolution's niching capability. SDE 2011: 80-87 - 2010
- [j13]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms. Appl. Soft Comput. 10(2): 398-408 (2010) - [j12]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Enhancing principal direction divisive clustering. Pattern Recognit. 43(10): 3391-3411 (2010) - [c21]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c20]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Evolutionary Principal Direction Divisive Partitioning. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c19]Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis
Skin Lesions Characterisation Utilising Clustering Algorithms. SETN 2010: 243-253
2000 – 2009
- 2009
- [c18]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Evolutionary adaptation of the differential evolution control parameters. IEEE Congress on Evolutionary Computation 2009: 1359-1366 - [c17]Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
Projection Based Clustering of Gene Expression Data. CIBB 2009: 228-239 - 2008
- [c16]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. IEEE Congress on Evolutionary Computation 2008: 2686-2693 - [c15]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Non-monotone differential evolution. GECCO 2008: 527-528 - [p1]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Computational Intelligence Algorithms and DNA Microarrays. Computational Intelligence in Bioinformatics 2008: 1-31 - 2007
- [c14]Nicos G. Pavlidis
Computational intelligence algorithms for risk-adjusted trading strategies. IEEE Congress on Evolutionary Computation 2007: 540-547 - 2006
- [j11]Dimitris K. Tasoulis, Panagiota Spyridonos
Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artif. Intell. Medicine 38(3): 291-303 (2006) - [j10]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Unsupervised clustering in mRNA expression profiles. Comput. Biol. Medicine 36(10): 1126-1142 (2006) - [j9]Vassilis P. Plagianakos, George D. Magoulas
Distributed computing methodology for training neural networks in an image-guided diagnostic application. Comput. Methods Programs Biomed. 81(3): 228-235 (2006) - [j8]Nicos G. Pavlidis
Computational Intelligence Methods for Financial Time Series Modeling. Int. J. Bifurc. Chaos 16(7): 2053-2062 (2006) - [j7]Vassilis P. Plagianakos, George D. Magoulas
Evolutionary training of hardware realizable multilayer perceptrons. Neural Comput. Appl. 15(1): 33-40 (2006) - [j6]Nicos G. Pavlidis
Financial forecasting through unsupervised clustering and neural networks. Oper. Res. 6(2): 103-127 (2006) - [c13]Nicos G. Pavlidis
Human Designed Vs. Genetically Programmed Differential Evolution Operators. IEEE Congress on Evolutionary Computation 2006: 1880-1886 - [c12]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data. AIAI 2006: 484-491 - 2005
- [c11]Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima. Congress on Evolutionary Computation 2005: 1847-1854 - 2004
- [j5]George D. Magoulas
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution. Appl. Soft Comput. 4(4): 369-379 (2004) - [c10]Konstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis
Vector evaluated differential evolution for multiobjective optimization. IEEE Congress on Evolutionary Computation 2004: 204-211 - [c9]Dimitris K. Tasoulis, Nicos G. Pavlidis
Parallel differential evolution. IEEE Congress on Evolutionary Computation 2004: 2023-2029 - [c8]Dimitris K. Tasoulis, Liviu Vladutu, Vassilis P. Plagianakos, Anastasios Bezerianos, Michael N. Vrahatis:
Online Neural Network Training for Automatic Ischemia Episode Detection. ICAISC 2004: 1062-1068 - 2002
- [j4]Vassilis P. Plagianakos, Michael N. Vrahatis:
Parallel evolutionary training algorithms for "hardware-friendly" neural networks. Nat. Comput. 1(2-3): 307-322 (2002) - [j3]George D. Magoulas
Globally convergent algorithms with local learning rates. IEEE Trans. Neural Networks 13(3): 774-779 (2002) - [j2]Vassilis P. Plagianakos, George D. Magoulas
Deterministic nonmonotone strategies for effective training of multilayer perceptrons. IEEE Trans. Neural Networks 13(6): 1268-1284 (2002) - 2000
- [j1]Michael N. Vrahatis, George D. Magoulas
Globally Convergent Modification of the Quickprop Method. Neural Process. Lett. 12(2): 159-170 (2000) - [c7]George D. Magoulas
Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. IJCNN (1) 2000: 21-26 - [c6]Vassilis P. Plagianakos, Michael N. Vrahatis:
Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights. IJCNN (5) 2000: 161-166
1990 – 1999
- 1999
- [c5]Vassilis P. Plagianakos, Michael N. Vrahatis:
Neural network training with constrained integer weights. CEC 1999: 2007-2013 - [c4]Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis:
Nonmonotone learning rules for backpropagation networks. ICECS 1999: 291-294 - [c3]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis:
Effective neural network training with a different learning rate for each weight. ICECS 1999: 591-594 - [c2]Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos:
Convergence analysis of the Quickprop method. IJCNN 1999: 1209-1214 - [c1]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis:
Sign-methods for training with imprecise error function and gradient values. IJCNN 1999: 1768-1773
Coauthor Index
Kostas Delibasis
aka: Konstantinos K. Delibasis
aka: Konstantinos K. Delibasis
Ilias Maglogiannis
aka: Ilias G. Maglogiannis
aka: Ilias G. Maglogiannis
[j38] [c80] [c79] [c78] [c77] [c76] [i7] [j35] [j34] [j33] [c74] [c73] [i6] [j32] [c69] [c68] [c67] [i4] [i3] [j31] [c66] [c64] [j30] [j29] [c63] [p2] [c60] [c59] [c58] [c57] [c56] [c54] [c53] [c52] [c50] [c49] [i2] [i1] [j20] [c42] [c41] [j19] [j17] [j16] [c34] [c29] [c28] [c26] [c25] [c24] [j12] [c20] [c19] [c17]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:21 CEST by the dblp team
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