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2020 – today
- 2024
[j39]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)- [j38]Nikos Bessas, Eleni Tzanaki, Denis Vavougios, Vassilis P. Plagianakos:
Inquiring Students' Alternative Conceptions about Floating and Sinking Objects. Int. J. Eng. Pedagog. 14(7): 74-102 (2024) - [j37]Nikos Bessas, Eleni Tzanaki, Dionisios Vavougios, Vassilis P. Plagianakos:
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, Nikos Bessas, Dionisios Vavougios, Vassilis P. Plagianakos:
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, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Who Writes the Review, Human or AI? CoRR abs/2405.20285 (2024) - 2023
- [j35]Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
HiPart: Hierarchical Divisive Clustering Toolbox. J. Open Source Softw. 8(83): 5024 (2023) - [j34]Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
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, Vassilis P. Plagianakos:
Two phase cooperative learning for supervised dimensionality reduction. Pattern Recognit. 144: 109871 (2023) - [c74]Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Neural Networks Voting for Projection Based Ensemble Classifiers. IEEE Big Data 2023: 4567-4574 - [c73]Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
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, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
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, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Panagiotis Anagnostou, Matthew Prina, José Luis Ayuso-Mateos, Jerome Bickenbach, Ivet Bayes, Martin Bobak, Francisco Félix Caballero, Somnath Chatterji, Laia Egea-Cortés, Esther García-Esquinas, Matilde Leonardi, Seppo Koskinen, Ilona Koupil, Andrzej Pajak, Martin Prince, Warren Sanderson, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, Albert Sanchez-Niubo, Vassilis P. Plagianakos, Demosthenes Panagiotakos:
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, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Text Analysis of COVID-19 Tweets. EANN 2022: 517-528 - [c67]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos:
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, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Matthew Prina, José Luis Ayuso-Mateos, Joachim Bickenbach, I. Bayes-Marin, Francisco Félix Caballero, Laia Egea-Cortés, Esther García-Esquinas, Matilde Leonardi, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, A. Sánchez-Martínez, Vassilis P. Plagianakos, Demosthenes Panagiotakos:
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, Vassilis P. Plagianakos:
Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data. Inf. 11(11): 502 (2020) - [j29]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Georgios I. Mallis, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis:
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, Ioannis S. Triantafyllou, Vassilis P. Plagianakos:
Citizens' Opinions About a Digital Health Insurance Record. EFMI-STC 2020: 230-231 - [c61]Spiros V. Georgakopoulos, Parisis Gallos, Vassilis P. Plagianakos:
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, Vassilis P. Plagianakos:
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, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis:
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, Vassilis P. Plagianakos:
Single-cell regulatory network inference and clustering from high-dimensional sequencing data. IEEE BigData 2019: 2782-2789 - [c58]Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
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, Vassilis P. Plagianakos:
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, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis:
Deep Learning and Change Detection for Fall Recognition. EANN 2019: 262-273 - [c55]Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
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, Georgios Chalkiadakis, Vassilis P. Plagianakos, Christos Tjortjis, Ergina Kavallieratou, Dimitris Vrakas, Nikolaos Mavridis, Georgios Petasis, Konstantinos Blekas, Anastasia Krithara:
AI in Greece: The Case of Research on Linked Geospa al Data. AI Mag. 39(2): 91-96 (2018) - [j25]Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis:
Pose recognition using convolutional neural networks on omni-directional images. Neurocomputing 280: 23-31 (2018) - [j24]Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos:
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, Spiros V. Georgakopoulos, Michael Vasilakakis, Anastasios Koulaouzidis, Vassilis P. Plagianakos:
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, Vassilis P. Plagianakos:
Biomedical Data Ensemble Classification using Random Projections. IEEE BigData 2018: 166-172 - [c52]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections. IEEE BigData 2018: 5448-5450 - [c51]Kostas Delibasis, Ilias Maglogiannis, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos:
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, Vassilis P. Plagianakos:
Real Time Sentiment Change Detection of Twitter Data Streams. INISTA 2018: 1-6 - [c49]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Toxic Comment Classification. SETN 2018: 35:1-35:6 - [c48]Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Kyriakos N. Sgarbas:
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, Vassilis P. Plagianakos:
A Novel Adaptive Learning Rate Algorithm for Convolutional Neural Network Training. EANN 2017: 327-336 - [c46]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. EANN 2017: 404-414 - [c45]Dimosthenis Kyriazis, Serge Autexier, Ivan Brondino, Michael J. Boniface, Lucas Donat, Vegard Engen, Rafael Fernandez, Ricardo Jiménez-Peris, Blanca Jordan, Gregor Jurak, Athanasios Kiourtis, Thanos Kosmidis, Mitja Lustrek, Ilias Maglogiannis, John Mantas, Antonio Martinez, Argyro Mavrogiorgou, Andreas Menychtas, Lydia Montandon, Cosmin-Septimiu Nechifor, Sokratis Nifakos, Alexandra Papageorgiou, Marta Patiño-Martínez, Manuel Perez, Vassilis P. Plagianakos, Dalibor Stanimirovic, Gregor Starc, Tanja Tomson, Francesco Torelli, Vicente Traver Salcedo, George Vassilacopoulos, Usman Wajid:
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, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos, Ilias Maglogiannis:
Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images. Integr. Comput. Aided Eng. 23(2): 185-199 (2016) - [c44]Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis:
Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images. AIAI 2016: 106-116 - [c43]Konstantinos K. Delibasis, Ilias Maglogiannis, Vassilis P. Plagianakos:
Silhouette labeling and tracking in calibrated omnidirectional video sequences. PETRA 2016: 4 - 2015
- [j21]Konstantinos K. Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis:
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, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
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, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Efficient change detection for high dimensional data streams. IEEE BigData 2015: 2219-2222 - [c41]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos:
On-Line Fall Detection via Mobile Accelerometer Data. AIAI 2015: 103-112 - 2014
- [j19]Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos:
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, Vassilis P. Plagianakos, Ilias Maglogiannis:
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, Spiros V. Georgakopoulos, Vassilis P. Plagianakos, Ilias Maglogiannis:
Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images. AIAI 2014: 375-384 - [c38]Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis:
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, Vassilis P. Plagianakos, Theodosios Goudas, Ilias Maglogiannis:
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, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Ilias Maglogiannis:
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, Vassilis P. Plagianakos, Ilias Maglogiannis:
Real Time Indoor Robot Localization Using a Stationary Fisheye Camera. AIAI 2013: 245-254 - [c32]Konstantinos K. Delibasis, Theodosios Goudas, Vassilis P. Plagianakos, Ilias Maglogiannis:
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, Vassilis P. Plagianakos, Michael N. Vrahatis:
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, Vassilis P. Plagianakos:
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, Vassilis P. Plagianakos, Michael N. Vrahatis:
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, Vassilis P. Plagianakos, Michael N. Vrahatis:
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, Vassilis P. Plagianakos:
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, Vassilis P. Plagianakos:
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, Vassilis P. Plagianakos:
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, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Computational intelligence algorithms for risk-adjusted trading strategies. IEEE Congress on Evolutionary Computation 2007: 540-547 - 2006
- [j11]Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis:
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, Michael N. Vrahatis:
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, Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Computational Intelligence Methods for Financial Time Series Modeling. Int. J. Bifurc. Chaos 16(7): 2053-2062 (2006) - [j7]Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis:
Evolutionary training of hardware realizable multilayer perceptrons. Neural Comput. Appl. 15(1): 33-40 (2006) - [j6]Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis:
Financial forecasting through unsupervised clustering and neural networks. Oper. Res. 6(2): 103-127 (2006) - [c13]Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis:
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, Vassilis P. Plagianakos, Michael N. Vrahatis:
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, Vassilis P. Plagianakos, Michael N. Vrahatis:
Vector evaluated differential evolution for multiobjective optimization. IEEE Congress on Evolutionary Computation 2004: 204-211 - [c9]Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis:
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, Vassilis P. Plagianakos, Michael N. Vrahatis:
Globally convergent algorithms with local learning rates. IEEE Trans. Neural Networks 13(3): 774-779 (2002) - [j2]Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis:
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, Vassilis P. Plagianakos:
Globally Convergent Modification of the Quickprop Method. Neural Process. Lett. 12(2): 159-170 (2000) - [c7]George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis:
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
[j39] [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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