Vassilis P. Plagianakos
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
47
Venues
12
Active years
1999–2025
Best venue rank
A*
Where they publish
Papers
47 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIBCB | Enhancing Machine Learning Models for Medical Coding: Diagnostic Codes Mapping and Synthetic Clinical Notes. | Aikaterini Bilioni, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos |
| 2025 | CIBCB | Short-term impacts of weather conditions on biomarkers among urban adults in Greece. | Katerina Tsiaktani, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, John A. Gittings, Dionysios E. Raitsos, Athanasia Sergounioti, Vassilis P. Plagianakos |
| 2025 | EMNLP | Krikri: Advancing Open Large Language Models for Greek. | Dimitris Roussis, Leon Voukoutis, Georgios Paraskevopoulos, Sokratis Sofianopoulos, Prokopis Prokopidis, Vassilis P. Plagianakos, Athanasios Katsamanis, Stelios Piperidis, Vassilis Katsouros |
| 2024 | CEC | Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification. | Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos |
| 2024 | CEC | Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum. | Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos |
| 2024 | CIBCB | Leveraging Large Language Models for Information Extraction: Identifying microRNA - Gene Interactions in Biomedical Literature. | Steve Stavropoulos, Elissavet Zacharopoulou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Artemis G. Hatzigeorgiou |
| 2024 | EANN | HCER: Hierarchical Clustering-Ensemble Regressor. | Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos |
| 2024 | EANN | Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum. | Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos |
| 2023 | DCOSS | An Efficient and Lightweight Commitment Scheme for IoT Data Streams. | Angeliki Katsika, Konstantinos Papageorgiou, Alexandros Fakis, Vassilis P. Plagianakos, Georgios P. Spathoulas |
| 2023 | GLOBECOM | Investigating Feasibility of Stress Detection from Social Media Content Through Wearables. | Kalliopi Tsiampa, Lili Zhu, Petros Spachos, Vassilis P. Plagianakos |
| 2022 | EANN | Text Analysis of COVID-19 Tweets. | Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos |
| 2022 | IJCNN | Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. | Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos |
| 2020 | EANN | On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning. | Kostas Delibasis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos |
| 2019 | BIBE | Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces. | Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos |
| 2019 | CIBCB | A single-cell Systems Biology approach for disease-specific subpathway extraction. | Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos |
| 2019 | CIBCB | Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. | Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos, Vassilis P. Plagianakos |
| 2019 | EANN | Deep Learning and Change Detection for Fall Recognition. | Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis |
| 2019 | IJCNN | Efficient Learning Rate Adaptation for Convolutional Neural Network Training. | Spiros V. Georgakopoulos, Vassilis P. Plagianakos |
| 2018 | ICANN | Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification. | Kostas Delibasis, Ilias Maglogiannis, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos |
| 2018 | INISTA | Real Time Sentiment Change Detection of Twitter Data Streams. | Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos |
| 2017 | EANN | Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning. | Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis |
| 2017 | EANN | A Novel Adaptive Learning Rate Algorithm for Convolutional Neural Network Training. | Spiros V. Georgakopoulos, Vassilis P. Plagianakos |
| 2014 | CEC | Unsupervised clustering and multi-optima evolutionary search. | Vassilis P. Plagianakos |
| 2013 | BIBE | Human segmentation and pose recognition in fish-eye video for assistive environments. | Konstantinos K. Delibasis, Vassilis P. Plagianakos, Theodosios Goudas, Ilias Maglogiannis |
| 2013 | CEC | Multi-optima search using Differential Evolution and unsupervised clustering. | Vassilis P. Plagianakos |
| 2013 | EANN | Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images. | Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Ilias Maglogiannis |
| 2012 | CEC | Multimodal optimization using niching differential evolution with index-based neighborhoods. | Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2012 | CEC | Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. | Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2012 | CEC | Density based Projection Pursuit Clustering. | Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis |
| 2010 | CEC | Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution. | Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2010 | CEC | Evolutionary Principal Direction Divisive Partitioning. | Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos |
| 2009 | CEC | Evolutionary adaptation of the differential evolution control parameters. | Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2008 | CEC | Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. | Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2008 | GECCO | Non-monotone differential evolution. | Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2007 | CEC | Computational intelligence algorithms for risk-adjusted trading strategies. | Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2006 | CEC | Human Designed Vs. Genetically Programmed Differential Evolution Operators. | Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis |
| 2005 | CEC | Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima. | Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2005 | IJCNN | Spiking neural network training using evolutionary algorithms. | Nicos G. Pavlidis, O. K. Tasoulis, Vassilis P. Plagianakos, George Nikiforidis, Michael N. Vrahatis |
| 2005 | IJCNN | Computational intelligence techniques for acute leukemia gene expression data classification. | Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis |
| 2004 | CEC | Vector evaluated differential evolution for multiobjective optimization. | Konstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2004 | CEC | Parallel differential evolution. | Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2004 | ICAISC | Online Neural Network Training for Automatic Ischemia Episode Detection. | Dimitris K. Tasoulis, Liviu Vladutu, Vassilis P. Plagianakos, Anastasios Bezerianos, Michael N. Vrahatis |
| 2000 | IJCNN | Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. | George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2000 | IJCNN | Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights. | Vassilis P. Plagianakos, Michael N. Vrahatis |
| 1999 | CEC | Neural network training with constrained integer weights. | Vassilis P. Plagianakos, Michael N. Vrahatis |
| 1999 | IJCNN | Sign-methods for training with imprecise error function and gradient values. | George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 1999 | IJCNN | Convergence analysis of the Quickprop method. | Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos |