S. Likothanassis

发表

Combining evolutionary and stochastic gradient techniques for system identification

Grigorios N. Beligiannis, Spiridon D. Likothanassis, Konstantinos A. Theofilatos, 2009 .

A Tool for Evolving Artificial Neural Networks

S. Likothanassis, E. Georgopoulos, A. Adamopoulos, 2008 .

A Novel Method for the Evolution of Artificial Neural Networks

S. Likothanassis, E. Georgopoulos, 1999 .

Evolutionary ARMA Model Identification With Unknown Process Order

E. N. Demiris, G. Beligiannis, S. Likothanassis, 2022 .

Which clustering algorithm is better for predicting protein complexes?

Reinhard Schneider, Charalampos N. Moschopoulos, Sophia Kossida, 2011, BMC Research Notes.

TIME VARYING, NONLINEAR AR MODEL IDENTIFICATION: LAINIOTIS' MULTI MODEL METHODOLOGY

E. N. Demiris, S. Likothanassis, 2002 .

Nonlinear AR model identification with unknown process order

E. N. Demiris, S. Likothanassis, G. Beligiannis, 1999 .

In search of a warning strategy against exchange-rate attacks: Forecasting tactics using artificial neural networks

G. Zombanakis, A. Andreou, S. Likothanassis, 2000 .

use of neural networks for system structure identification

Spiridon D. Likothanassis, Sokratis K. Katsikas, George D. Manioudakis, 1997 .

Mining of Fuzzy Association Rules using a Kernel-based Self-Organized Map for partitioning large databases

S. Papadimitriou, S. Likothanassis, K. Terzidis, 2004 .

Short-term prediction of complex binary data

Spiridon D. Likothanassis, Adam Adamopoulos, S. Likothanassis, 2005 .

Multi-sensorial Network Placement For Building Performance Analysis And Evaluation And Facility Management

Dimitrios Tzovaras, Spiridon D. Likothanassis, Dimosthenis Ioannidis, 2016 .

Modeling And Forecasting Exchange-Rate Shocks

G. Zombanakis, A. Andreou, S. Likothanassis, 1998 .

Comparing Deep Learning and Human Crafted Features for Recognising Hand Activities of Daily Living from Wearables

D. Tzovaras, K. Votis, S. Likothanassis, 2022, 2022 23rd IEEE International Conference on Mobile Data Management (MDM).

An Ontology for Integrated Searching of Hypermedia in a Distributed Server Environment

S. Likothanassis, B. Vassiliadis, C. Alexakos, 2007 .

The Human Interactome Knowledge Base (HINT-KB): an integrative human protein interaction database enriched with predicted protein–protein interaction scores using a novel hybrid technique

Charalampos N. Moschopoulos, Christos E. Alexakos, Christos M. Dimitrakopoulos, 2014, Artificial Intelligence Review.

Extracting structural characteristics of a nonlinear time series using genetic algorithms

Efstratios F. Georgopoulos, Adam Adamopoulos, S. D. Likothanassis, 1997, Proceedings Intelligent Information Systems. IIS'97.

On the Computational Prediction of miRNA Promoters

Spiridon D. Likothanassis, Seferina Mavroudi, Konstantinos A. Theofilatos, 2016, AIAI.

Predicting and classifying short non-coding RNAs using a multiclass evolutionary methodology

Spiridon D. Likothanassis, Seferina Mavroudi, Konstantinos A. Theofilatos, 2015, EANN '15.

YamiPred: A Novel Evolutionary Method for Predicting Pre-miRNAs and Selecting Relevant Features

Spiridon D. Likothanassis, Seferina Mavroudi, Dimitris Kleftogiannis, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A novel pre-miRNA classification approach for the prediction of microRNA genes

Athanasios K. Tsakalidis, Spiridon D. Likothanassis, Konstantinos A. Theofilatos, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Charalampos N. Moschopoulos, 2015, Artif. Intell. Medicine.

Kernel-based Self-organized Maps Trained with Supervised Bias for Gene Expression Data Analysis

Spiridon D. Likothanassis, Stergios Papadimitriou, S. Papadimitriou, 2004, J. Bioinform. Comput. Biol..

A novel pipeline method for the preprocessing of Mass spectrometry proteomics data

Where we stand, where we are moving: Surveying computational techniques for identifying miRNA genes and uncovering their regulatory role

Athanasios K. Tsakalidis, Spiridon D. Likothanassis, Seferina Mavroudi, 2013, J. Biomed. Informatics.

Information GRID in the corporate world

Spiridon D. Likothanassis, Konstantinos Votis, N. Bogonikolos, 2003 .

Adaptive E-Learning Grid Platform

Spiridon D. Likothanassis, Konstantinos Votis, Konstantinos C. Giotopoulos, 2002, LeGE-WG 1.

Optimizing Filter Processes on Protein Interaction Clustering Results Using Genetic Algorithms

Grigorios N. Beligiannis, Spiridon D. Likothanassis, Charalampos N. Moschopoulos, 2011, EANN/AIAI.

A genetic algorithm approach to school timetabling

Grigorios N. Beligiannis, Spiridon D. Likothanassis, Charalampos N. Moschopoulos, 2009, J. Oper. Res. Soc..

An Intelligent Tool for Bio-magnetic Signal Processing

Spiridon D. Likothanassis, Adam V. Adamopoulos, Lambros Skarlas, 2004, SETN.

Integrating Computational Intelligence Techniques and Assessment Agents in ELearning Environments

Grigorios N. Beligiannis, Spiridon D. Likothanassis, Konstantinos C. Giotopoulos, 2007 .

Loop Closure Detection and SLAM in Vineyards with Deep Semantic Cues

D. Tzovaras, I. Mariolis, I. Kostavelis, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Genetic Programming Modeling and Complexity Analysis of the Magnetoencephalogram of Epileptic Patients

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Adam V. Adamopoulos, 2008, ISD.

A User-Friendly Evolutionary Tool for High-School Timetabling

Grigorios N. Beligiannis, Spiridon D. Likothanassis, Charalampos N. Moschopoulos, 2009, Tools and Applications with Artificial Intelligence.

On the Personalization of an E-learning Environment in Higher Education using Graphs

Athanasios K. Tsakalidis, Evangelos Sakkopoulos, Antonia Stefani, 2005 .

Applying evolutionary computation to the school timetabling problem: The Greek case

Grigorios N. Beligiannis, Spiridon D. Likothanassis, Charalampos N. Moschopoulos, 2008, Comput. Oper. Res..

Efficient Computational Construction of Weighted Protein-Protein Interaction Networks Using Adaptive Filtering Techniques Combined with Natural Selection-Based Heuristic Algorithms

Efstratios F. Georgopoulos, Athanasios K. Tsakalidis, Spiridon D. Likothanassis, 2012 .

Adaptive Filtering Techniques Combined with Natural Selection-Based Heuristic Algorithms in the Prediction of Protein-Protein Interactions

Efstratios F. Georgopoulos, Athanasios K. Tsakalidis, Spiridon D. Likothanassis, 2011, EANN/AIAI.

Genetically determined variable structure multiple model estimation

Grigorios N. Beligiannis, K. G. Berketis, Spiridon D. Likothanassis, 2001, IEEE Trans. Signal Process..

Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Andreas S. Andreou, 1998 .

Real-time incident detection: An approach for two interdependent time series

Dimitrios Tzovaras, Chrysovalantou Ziogou, Spyros Voutetakis, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Modeling and Trading FTSE100 Index Using a Novel Sliding Window Approach Which Combines Adaptive Differential Evolution and Support Vector Regression

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Konstantinos A. Theofilatos, 2013, AIAI.

Modelling and Trading the DJIA Financial Index Using Neural Networks Optimized with Adaptive Evolutionary Algorithms

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Georgios Sermpinis, 2012, EANN.

Best terms: an efficient feature-selection algorithm for text categorization

Spiridon D. Likothanassis, Dimitris Fragoudis, Dimitris Meretakis, 2005, Knowledge and Information Systems.

An Evolutionary Annealing Approach to Graph Coloring

Spiridon D. Likothanassis, Stamatis Stefanakos, Dimitris Fotakis, 2001, EvoWorkshops.

Semantic Classification and Indexing of Open Educational Resources with Word Embeddings and Ontologies

Dimitrios A. Koutsomitropoulos, Andreas D. Andriopoulos, Spiridon D. Likothanassis, 2020, Cybernetics and Information Technologies.

Evolutionary Biomedical Signal Processing Techniques

Athanasios K. Tsakalidis, Spiridon D. Likothanassis, Katerina Perdikuri, 2004 .

Adaptive Multimodel Analysis of the Magnetoencephalogram of Epileptic Patients

Spiridon D. Likothanassis, Patras Greece, Adam Adamopoulos, 2001 .

On the parallel implementations of the linear Kalman and Lainiotis filters and their efficiency

Demetrios G. Lainiotis, Spiridon D. Likothanassis, Sokratis K. Katsikas, 1991, Signal Process..

Exchange-Rates Forecasting: A Hybrid Algorithm Based on Genetically Optimized Adaptive Neural Networks

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Andreas S. Andreou, 2002 .

Gappi: Identifying Important protein Modules through protein-protein Interaction Graphs

Spiridon D. Likothanassis, Charalampos N. Moschopoulos, Sophia Kossida, 2012, Int. J. Artif. Intell. Tools.

Using a Genetic Algorithm and Markov Clustering on Protein–Protein Interaction Graphs

Grigorios N. Beligiannis, Spiridon D. Likothanassis, Charalampos N. Moschopoulos, 2012 .

Analyzing Protein-Protein Interaction Networks with Web Tools

Spiridon D. Likothanassis, Georgios A. Pavlopoulos, Charalampos N. Moschopoulos, 2011 .

GIBA: a clustering tool for detecting protein complexes

Reinhard Schneider, Spiridon D. Likothanassis, Georgios A. Pavlopoulos, 2009, BMC Bioinformatics.

Constructing and working with protein interaction graphs

Spiridon D. Likothanassis, Charalampos N. Moschopoulos, Sophia Kossida, 2009 .

Mutual Information Clustering for Efficient Mining of Fuzzy Association Rules with Application to Gene Expression Data Analysis

Spiridon D. Likothanassis, Stergios Papadimitriou, Seferina Mavroudi, 2005, Int. J. Artif. Intell. Tools.

Occupancy-driven facility management and building performance analysis

Dimitrios Tzovaras, Spiridon D. Likothanassis, Dimosthenis Ioannidis, 2017 .

Building Multi-occupancy Analysis and Visualization Through Data Intensive Processing

Dimitrios Tzovaras, Spiridon D. Likothanassis, Dimosthenis Ioannidis, 2016, AIAI.

Scalable association-based text classification

Hongjun Lu, Spiridon D. Likothanassis, Dimitris Fragoudis, 2000, CIKM '00.

Adaptive on-line multiple source detection

Spiridon D. Likothanassis, Sokratis K. Katsikas, Assimakis K. Leros, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Adaptive AR model identification based on the faest filters

Spiridon D. Likothanassis, Elias N. Demiris, E. N. Demiris, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

A real-time ARMA model structure identification method

Spiridon D. Likothanassis, E. N. Demiris, D. G. Karelis, 1997, Proceedings of 13th International Conference on Digital Signal Processing.

AR model identification with unknown process order

Demetrios G. Lainiotis, Spiridon D. Likothanassis, Sokratis K. Katsikas, 1990, IEEE Trans. Acoust. Speech Signal Process..

ARMAX Model Identification with Unknown Process Order and Time-Varying Parameters

Spiridon D. Likothanassis, E. N. Demiris, S. Likothanassis, 1998 .

Integrating feature and instance selection for text classification

Spiridon D. Likothanassis, Dimitris Fragoudis, Dimitris Meretakis, 2002, KDD.

HINT-KB: The Human Interactome Knowledge Base

Spiridon D. Likothanassis, Charalampos N. Moschopoulos, Stergios Papadimitriou, 2012, AIAI.

Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods

Spiridon D. Likothanassis, Seferina Mavroudi, Konstantinos A. Theofilatos, 2016, Artif. Intell. Medicine.

Financial Indices Modelling and Trading utilizing Deep Learning Techniques: The ATHENS SE FTSE/ASE Large Cap Use Case

Spiridon D. Likothanassis, Christos Alexakos, Thomas Amorgianiotis, 2018, 2018 Innovations in Intelligent Systems and Applications (INISTA).

Workflow Coordinated Resources Allocation for Big Data Analytics in the Cloud

Konstantinos Manos, Spiridon D. Likothanassis, Christos E. Alexakos, 2015, AIAI.

Using UTAUT2 for cloud computing technology acceptance modeling

Spiridon D. Likothanassis, Fotios Nikolopoulos, S. Likothanassis, 2017, ICC.

Subject Classification of Learning Resources Using Word Embeddings and Semantic Thesauri

Spiridon D. Likothanassis, Dimitrios A. Koutsomitropoulos, Andreas D. Andriopoulos, 2019, 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA).

Superclusteroid 2.0: A Web Tool for Processing Big Biological Networks

Spiridon D. Likothanassis, Charalampos N. Moschopoulos, Seferina Mavroudi, 2016, AIAI.

Dynamic Cloud Resources Allocation on Multidomain/Multiphysics Problems

Spiridon D. Likothanassis, Panagiota Tsompanopoulou, Konstantis Daloukas, 2015, 2015 3rd International Conference on Future Internet of Things and Cloud.

ncRNAclass: A Web Platform for Non-Coding RNA Feature Calculation and MicroRNAs and Targets Prediction

Athanasios K. Tsakalidis, Spiridon D. Likothanassis, Seferina Mavroudi, 2015, Int. J. Artif. Intell. Tools.

ncRNA-Class Web Tool: Non-coding RNA Feature Extraction and Pre-miRNA Classification Web Tool

Athanasios K. Tsakalidis, Spiridon D. Likothanassis, Stergios Papadimitriou, 2012, AIAI.

Where we stand, where we are moving: Surveying computational techniques for identifying miRNA genes and uncovering their regulatory role

A. Tsakalidis, K. Theofilatos, S. Likothanassis, 2013, J. Biomed. Informatics.

Predicting human miRNA target genes using a novel computational intelligent framework

Spiridon D. Likothanassis, Seferina Mavroudi, Dimitris Kleftogiannis, 2015, Inf. Sci..

Efficient Computational Prediction and Scoring of Human Protein-Protein Interactions Using a Novel Gene Expression Programming Methodology

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Stergios Papadimitriou, 2012, EANN.

Forecasting Euro - United States Dollar Exchange Rate with Gene Expression Programming

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Konstantinos A. Theofilatos, 2010, AIAI.

A Gene Expression Programming Environment for Fatigue Modeling of Composite Materials

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Anastasios P. Vassilopoulos, 2010, SETN.

Modeling the MagnetoencephaloGram (MEG) Of Epileptic Patients Using Genetic Programming and Minimizing the Derived Models Using Genetic Algorithms

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Konstantinos A. Theofilatos, 2009 .

A Genetic Programming Environment for System Modeling

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Anastasios P. Vassilopoulos, 2008, SETN.

Nonlinear model structure identification of complex biomedical data using a genetic-programming-based technique

Grigorios N. Beligiannis, Spiridon D. Likothanassis, Lambros Skarlas, 2005, IEEE Transactions on Instrumentation and Measurement.

A robust hybrid evolutionary method for ARMA model identification

Grigorios N. Beligiannis, Spiridon D. Likothanassis, E. N. Demiris, 2001, ISPA 2001. Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis. In conjunction with 23rd International Conference on Information Technology Interfaces (IEEE Cat..

Adaptive E-Learning Grid Platform

K. Votis, S. Likothanassis, N. Bogonikolos, 2002, LeGE-WG 1.

Currency Forecasting Using Recurrent RBF Networks Optimized by Genetic Algorithms

Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Adam Adamopoulos, 1998 .

Anisotropic Diffusion-Based Enhancement of Scene Segmentation with Instance Labels

Dimitrios Tzovaras, Dimitrios Giakoumis, Ioannis Mariolis, 2021, CAIP.

Scientific Scripting for the Java Platform with jLab

Spiridon D. Likothanassis, Stergios Papadimitriou, Seferina Mavroudi, 2009, Computing in Science & Engineering.

Applying Graph Theory on Protein - Protein Interaction Data

Charalampos N. Moschopoulos, Sophia Kossida, Charalampos Moschopoulos, 2009, 2009 16th International Conference on Systems, Signals and Image Processing.

A New Framework for Bridging the Gap from Protein-Protein Interactions to Biological Process Interactions

Spiridon D. Likothanassis, Seferina Mavroudi, Konstantinos A. Theofilatos, 2014, AIAI Workshops.