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ORCIDLazaros S. Iliadis
Lazaros Iliadis 0001
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- affiliation: Democritus University of Thrace, School of Civil Engineering, Faculty of Mathematics, Programming and General Courses, Kimmeria, Xanthi, Greece
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Journal Articles
- 2023
[j80]Lazaros S. Iliadis:
Introduction. Int. J. Neural Syst. 33(7): 2303002:1 (2023)- [j79]Konstantinos Demertzis, Konstantinos Rantos, Lykourgos Magafas, Charalabos Skianis, Lazaros Iliadis:
A Secure and Privacy-Preserving Blockchain-Based XAI-Justice System. Inf. 14(9): 477 (2023) - [j78]Lazaros Iliadis, Elias Pimenidis:
Technologies of the 4th industrial revolution with applications. Neural Comput. Appl. 35(29): 21331-21332 (2023) - 2022
- [j77]Konstantinos Demertzis, Lazaros Iliadis, Panagiotis Kikiras, Elias Pimenidis:
An explainable semi-personalized federated learning model. Integr. Comput. Aided Eng. 29(4): 335-350 (2022) - [j76]Lazaros S. Iliadis:
Introduction. Int. J. Neural Syst. 32(12): 2202002:1 (2022) - [j75]Antonios Papaleonidas
, Anastasios Panagiotis Psathas, Lazaros Iliadis:
High accuracy human activity recognition using machine learning and wearable devices' raw signals. J. Inf. Telecommun. 6(3): 237-253 (2022) - [j74]Anastasios Panagiotis Psathas, Antonios Papaleonidas, Lazaros Iliadis, George Papathanassiou, Sotirios Valkaniotis:
COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity. J. Inf. Telecommun. 6(4): 420-449 (2022) - [j73]Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis, Panagiotis Kikiras:
Variational restricted Boltzmann machines to automated anomaly detection. Neural Comput. Appl. 34(18): 15207-15220 (2022) - [j72]Lazaros Iliadis, Luca Magri:
Special issue on deep learning modeling in real life: anomaly detection, biomedical, concept analysis, finance, image analysis, recommendation. Neural Comput. Appl. 34(22): 19397-19400 (2022) - [j71]Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Dimitris Bountas:
COREM2 project: a beginning to end approach for cyber intrusion detection. Neural Comput. Appl. 34(22): 19565-19584 (2022) - [j70]Konstantinos Demertzis, Georgios D. Papadopoulos, Lazaros Iliadis, Lykourgos Magafas:
A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions. Sensors 22(3): 720 (2022) - 2021
- [j69]Lazaros Iliadis, Ilias Maglogiannis:
Editorial of the evolving and hybrid systems' modelling special issue. Evol. Syst. 12(1): 1-2 (2021) - [j68]Ioannis E. Livieris, Lazaros Iliadis, Panayiotis E. Pintelas:
On ensemble techniques of weight-constrained neural networks. Evol. Syst. 12(1): 155-167 (2021) - [j67]Lazaros Iliadis:
Editorial on the Special Issue Innovations of Evolving-Adaptive Systems in the Era of the 4th Industrial Revolution. Evol. Syst. 12(3): 581-582 (2021) - [j66]Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis:
Geo-AI to aid disaster response by memory-augmented deep reservoir computing. Integr. Comput. Aided Eng. 28(4): 383-398 (2021) - [j65]Lazaros Iliadis:
Introduction. Int. J. Neural Syst. 31(10): 2103008:1 (2021) - [j64]Konstantinos Demertzis, Konstantinos G. Tsiknas, Dimitrios Taketzis, Dimitrios N. Skoutas, Charalabos Skianis, Lazaros Iliadis, Kyriakos E. Zoiros:
Communication Network Standards for Smart Grid Infrastructures. Network 1(2): 132-145 (2021) - [j63]Ioannis E. Livieris, Stavros Stavroyiannis, Lazaros Iliadis, Panagiotis E. Pintelas:
Smoothing and stationarity enforcement framework for deep learning time-series forecasting. Neural Comput. Appl. 33(20): 14021-14035 (2021) - [j62]Andreas Kanavos, Fotios Kounelis, Lazaros Iliadis, Christos Makris:
Deep learning models for forecasting aviation demand time series. Neural Comput. Appl. 33(23): 16329-16343 (2021) - [j61]Georgios Drakopoulos, Eleanna Kafeza, Phivos Mylonas, Lazaros Iliadis:
Transform-based graph topology similarity metrics. Neural Comput. Appl. 33(23): 16363-16375 (2021) - 2020
- [j60]Konstantinos Demertzis, Lazaros S. Iliadis:
GeoAI: A Model-Agnostic Meta-Ensemble Zero-Shot Learning Method for Hyperspectral Image Analysis and Classification. Algorithms 13(3): 61 (2020) - [j59]Lazaros Iliadis, Costin Badica:
Evolving and intelligent systems applications special issue. Evol. Syst. 11(2): 199-200 (2020) - [j58]Andreas Kanavos, Panagiota Kotoula, Christos Makris, Lazaros Iliadis:
Employing query disambiguation using clustering techniques. Evol. Syst. 11(2): 305-315 (2020) - [j57]Lazaros Iliadis, Ilias Maglogiannis:
Editorial of the evolving intelligent applications in engineering special issue. Evol. Syst. 11(3): 359-361 (2020) - [j56]Georgios Drakopoulos, Foteini Stathopoulou, Andreas Kanavos, Michael Paraskevas, Giannis Tzimas, Phivos Mylonas, Lazaros Iliadis:
A genetic algorithm for spatiosocial tensor clustering. Evol. Syst. 11(3): 491-501 (2020) - [j55]Lazaros S. Iliadis, Ilias Maglogiannis:
Emerging trends of applied neural computation. Neural Comput. Appl. 32(9): 4135-4137 (2020) - [j54]Konstantinos Demertzis, Lazaros S. Iliadis, Ilias Bougoudis:
Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network. Neural Comput. Appl. 32(9): 4303-4314 (2020) - [j53]Lazaros S. Iliadis, Vera Kurková, Barbara Hammer:
Brain-inspired computing and machine learning. Neural Comput. Appl. 32(11): 6641-6643 (2020) - [j52]Nikolaos Polatidis, Antonios Papaleonidas, Elias Pimenidis, Lazaros Iliadis:
An explanation-based approach for experiment reproducibility in recommender systems. Neural Comput. Appl. 32(16): 12259-12266 (2020) - [j51]Lazaros S. Iliadis, Chrisina Jayne:
Emerging applications of Deep Learning and Spiking ANN. Neural Comput. Appl. 32(23): 17119-17124 (2020) - [j50]Konstantinos Demertzis, Lazaros Iliadis, Nikos Tziritas, Panagiotis Kikiras:
Anomaly detection via blockchained deep learning smart contracts in industry 4.0. Neural Comput. Appl. 32(23): 17361-17378 (2020) - 2019
- [j49]Konstantinos Demertzis, Nikos Tziritas, Panayiotis Kikiras, Salvador Llopis Sánchez, Lazaros Iliadis:
The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense against Adversarial Attacks. Big Data Cogn. Comput. 3(1): 6 (2019) - [j48]Lazaros S. Iliadis, Ilias Maglogiannis:
Editorial. Evol. Syst. 10(1): 1-2 (2019) - [j47]Giacomo Boracchi, Lazaros S. Iliadis, Aristidis Likas:
Editorial. Neural Comput. Appl. 31(6): 1679-1681 (2019) - 2018
- [j46]Konstantinos Demertzis, Panayiotis Kikiras, Nikos Tziritas, Salvador Llopis Sánchez, Lazaros Iliadis:
The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence. Big Data Cogn. Comput. 2(4): 35 (2018) - [j45]Lazaros S. Iliadis, Ilias Maglogiannis:
Editorial. Evol. Syst. 9(4): 265-266 (2018) - [j44]Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis:
Hybrid intelligent modeling of wild fires risk. Evol. Syst. 9(4): 267-283 (2018) - [j43]Lazaros S. Iliadis, Ilias Maglogiannis:
Applications of neural modeling in the new era for data and IT. Neurocomputing 280: 1-2 (2018) - [j42]Ioannis Karydis, Aggelos Gkiokas, Vassilis Katsouros, Lazaros S. Iliadis:
Musical track popularity mining dataset: Extension & experimentation. Neurocomputing 280: 76-85 (2018) - [j41]Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis:
Extreme deep learning in biosecurity: the case of machine hearing for marine species identification. J. Inf. Telecommun. 2(4): 492-510 (2018) - [j40]Chrisina Jayne, Lazaros S. Iliadis:
Special issue: Engineering applications of neural networks. Neural Comput. Appl. 29(7): 303-304 (2018) - [j39]Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas:
FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens. Neural Comput. Appl. 29(7): 375-388 (2018) - [j38]Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Konstantinos Demertzis, Stefanos Spartalis:
Hybrid Soft Computing for Atmospheric Pollution-Climate Change Data Mining. Trans. Comput. Collect. Intell. 30: 152-177 (2018) - 2017
- [j37]Lazaros S. Iliadis, Konstantinos G. Margaritis, Ilias Maglogiannis:
Timely advances in evolving neural-based systems special issue. Evol. Syst. 8(1): 1-2 (2017) - [j36]Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Konstantinos Demertzis, Georgios Mallinis:
Hybrid Unsupervised Modeling of Air Pollution Impact to Cardiovascular and Respiratory Diseases. Int. J. Inf. Syst. Crisis Response Manag. 9(3): 13-35 (2017) - [j35]Konstantinos Demertzis, Lazaros S. Iliadis, Stavros Avramidis, Yousry A. El-Kassaby:
Machine learning use in predicting interior spruce wood density utilizing progeny test information. Neural Comput. Appl. 28(3): 505-519 (2017) - [j34]Lazaros S. Iliadis, Chrisina Jayne:
Special issue: engineering applications of neural networks. Neural Comput. Appl. 28(6): 1189-1191 (2017) - [j33]Konstantinos Demertzis, Lazaros S. Iliadis:
Detecting invasive species with a bio-inspired semi-supervised neurocomputing approach: the case of Lagocephalus sceleratus. Neural Comput. Appl. 28(6): 1225-1234 (2017) - [j32]Konstantinos Demertzis, Lazaros S. Iliadis:
Computational intelligence anti-malware framework for android OS. Vietnam. J. Comput. Sci. 4(4): 245-259 (2017) - 2016
- [j31]Spyros Sioutas, Lazaros S. Iliadis, Katia Lida Kermanidis, Phivos Mylonas:
Introduction to the Special Issue on Mining the Humanities: Technologies and Applications. Eng. Appl. Artif. Intell. 51: 1-4 (2016) - [j30]Xenophon Evangelopoulos, Victor Giannakouris-Salalidis, Lazaros S. Iliadis, Christos Makris, Yannis Plegas, Antonia Plerou, Spyros Sioutas:
Evaluating information retrieval using document popularity: An implementation on MapReduce. Eng. Appl. Artif. Intell. 51: 16-23 (2016) - [j29]Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis:
Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning. Integr. Comput. Aided Eng. 23(2): 115-127 (2016) - [j28]Chrisina Jayne, Lazaros S. Iliadis, Valeri M. Mladenov:
Special issue on the engineering applications of neural networks. Neural Comput. Appl. 27(5): 1075-1076 (2016) - [j27]Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis:
HISYCOL a hybrid computational intelligence system for combined machine learning: the case of air pollution modeling in Athens. Neural Comput. Appl. 27(5): 1191-1206 (2016) - 2015
- [j26]Yannis Manolopoulos, Lazaros S. Iliadis:
Special Issue on Advanced Paradigms of Neural Networks' Learning Algorithms and Architectures in Engineering (APNNAAE). Inf. Sci. 294: 550-552 (2015) - 2014
- [j25]Lazaros S. Iliadis:
Special issue of the 8th AIAI 2012 (Artificial Intelligence Applications and Innovations) international conference. Artif. Intell. Rev. 42(3): 309-311 (2014) - [j24]Antonios Kalampakas, Stefanos Spartalis, Lazaros S. Iliadis, Elias Pimenidis:
Fuzzy graphs: algebraic structure and syntactic recognition. Artif. Intell. Rev. 42(3): 479-490 (2014) - [j23]Evanthia Faliagka, Lazaros S. Iliadis, Ioannis Karydis, Maria Rigou, Spyros Sioutas, Athanasios K. Tsakalidis, Giannis Tzimas:
On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV. Artif. Intell. Rev. 42(3): 515-528 (2014) - 2013
- [j22]Antonios Papaleonidas, Lazaros S. Iliadis:
Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data. Evol. Syst. 4(4): 221-233 (2013) - [j21]Antonios Kalampakas, Stefanos Spartalis, Lazaros S. Iliadis:
Syntactic recognizability of graphs with fuzzy attributes. Fuzzy Sets Syst. 229: 91-100 (2013) - [j20]Ilias Maglogiannis, Lazaros S. Iliadis, Harris Papadopoulos:
Special issue: Innovative Decision Systems, extended papers from the 12th EANN/7th IFIP AIAI 2011 Joint Conferences. Intell. Decis. Technol. 7(1): 1-2 (2013) - [j19]Lazaros S. Iliadis, Dominic Palmer-Brown:
Timely neural networks applications in engineering - selected papers from the 12th EANN International Conference. Neurocomputing 107: 1-2 (2013) - [j18]Lazaros S. Iliadis, Stavros Tachos, Stavros Avramidis, Shawn Mansfield:
Hybrid e-regression and validation soft computing techniques: The case of wood dielectric loss factor. Neurocomputing 107: 33-39 (2013) - [j17]Ioannis Karydis, Katia Lida Kermanidis, Spyros Sioutas, Lazaros S. Iliadis:
Comparing content and context based similarity for musical data. Neurocomputing 107: 69-76 (2013) - [j16]Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis:
A Self-Organizing Feature Map (SOFM) model based on aggregate-ordering of local color vectors according to block similarity measures. Neurocomputing 107: 97-107 (2013) - 2012
- [j15]Harris Papadopoulos, Andreas S. Andreou, Lazaros S. Iliadis:
Editorial. Int. J. Artif. Intell. Tools 21(4) (2012) - 2011
- [j14]Kostas I. Diamantaras, Lazaros S. Iliadis:
Editorial for the special issue ICANN-2010. Neural Networks 24(8): 789-790 (2011) - [j13]Lazaros S. Iliadis, Fotis P. Maris, Stavros Tachos:
Soft computing techniques toward modeling the water supplies of Cyprus. Neural Networks 24(8): 836-841 (2011) - 2009
- [j12]George C. Anastassopoulos, Lazaros S. Iliadis:
Intelligent hybrid modelling towards the prognosis of abdominal pain. Int. J. Hybrid Intell. Syst. 6(4): 245-255 (2009) - [j11]Dominic Palmer-Brown, Lazaros S. Iliadis:
EANN 2007: Timely developments in applied neural computing. Neurocomputing 73(1-3): 1-2 (2009) - [j10]Thomas J. Glezakos, Theodore A. Tsiligiridis, Lazaros S. Iliadis, Constantine P. Yialouris, Fotis P. Maris, Konstantinos P. Ferentinos:
Feature extraction for time-series data: An artificial neural network evolutionary training model for the management of mountainous watersheds. Neurocomputing 73(1-3): 49-59 (2009) - [j9]Efstratios K. Kosmidis, Anastasia S. Tsingotjidou, Lazaros S. Iliadis, Christos Batzios, Georgios C. Papadopoulos:
A sparsely connected network to model the relay stations of the sheep milk ejection reflex. Neurocomputing 73(1-3): 80-86 (2009) - 2008
- [j8]Lazaros S. Iliadis:
Special issue on Industrial Applications of Neural Networks. Inf. Sci. 178(20): 3799-3801 (2008) - [j7]Lazaros S. Iliadis, Stefanos Spartalis, Stavros Tachos:
Application of fuzzy T-norms towards a new Artificial Neural Networks' evaluation framework: A case from wood industry. Inf. Sci. 178(20): 3828-3839 (2008) - 2007
- [j6]Lazaros S. Iliadis, Fotis P. Maris:
An Artificial Neural Network model for mountainous water-resources management: The case of Cyprus mountainous watersheds. Environ. Model. Softw. 22(7): 1066-1072 (2007) - [j5]Stefanos Spartalis, Lazaros S. Iliadis, Fotis P. Maris:
An innovative risk evaluation system estimating its own fuzzy entropy. Math. Comput. Model. 46(1-2): 260-267 (2007) - 2006
- [j4]Theodoros Koutroumanidis, Lazaros S. Iliadis, Georgios K. Sylaios:
Time-series modeling of fishery landings using ARIMA models and Fuzzy Expected Intervals software. Environ. Model. Softw. 21(12): 1711-1721 (2006) - 2005
- [j3]Lazaros S. Iliadis:
A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation. Environ. Model. Softw. 20(5): 613-621 (2005) - [j2]Lazaros S. Iliadis, Stefanos Spartalis:
Fundamental fuzzy relation concepts of a D.S.S. for the estimation of natural disasters' risk (The case of a trapezoidal membership function). Math. Comput. Model. 42(7-8): 747-758 (2005) - [j1]Elias Pimenidis, Lazaros S. Iliadis, Hossein Jahankhani:
E-learning in the work-places in the rural sector of northeastern Greece. Oper. Res. 5(1): 35-47 (2005)
Conference and Workshop Papers
- 2023
- [c77]Ioannis Karampinis, Lazaros Iliadis:
A Machine Learning Approach for Seismic Vulnerability Ranking. EANN 2023: 3-16 - [c76]Kiourt Nichat, Lazaros S. Iliadis, Antonios Papaleonidas:
Conductivity Classification Using Machine Learning Algorithms in the "Bramianon" Dam. EANN 2023: 97-109 - [c75]Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas:
Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms. EANN 2023: 403-419 - [c74]Konstantinos Demertzis, Lazaros S. Iliadis:
An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems. EANN 2023: 461-478 - [c73]Konstantinos Demertzis, Lazaros S. Iliadis:
Next Generation Automated Reservoir Computing for Cyber Defense. AIAI (2) 2023: 16-27 - 2022
- [c72]Anastasios Panagiotis Psathas, Lazaros Iliadis, Dimitra V. Achillopoulou, Antonios Papaleonidas, Nikoleta K. Stamataki, Dimitris Bountas, Ioannis M. Dokas:
Autoregressive Deep Learning Models for Bridge Strain Prediction. EANN 2022: 150-164 - [c71]Konstantinos Demertzis, Panagiotis Kikiras, Lazaros Iliadis:
A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations. EANN 2022: 271-283 - [c70]Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas:
An IoT Authentication Framework for Urban Infrastructure Security Using Blockchain and Deep Learning. EANN 2022: 284-296 - [c69]Eleni Gerasimidi, Lazaros Iliadis:
Development of an Algorithmic Model to Reduce Memory and Learning Deficits on Trisomic Mice. EANN 2022: 349-360 - [c68]Antonios Papaleonidas, Konstantinos Lykostratis, Anastasios Panagiotis Psathas, Lazaros Iliadis, Maria Giannopoulou:
An Innovate Hybrid Approach for Residence Price Using Fuzzy C-Means and Machine Learning Techniques. ICANN (4) 2022: 346-357 - [c67]Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas:
HEDL-IDS: A Hybrid Ensemble Deep Learning Approach for Cyber Intrusion Detection. AIAI (1) 2022: 116-131 - 2021
- [c66]Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas:
A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection. EANN 2021: 27-41 - [c65]Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis, Nikolaos Tziritas, Maria G. Koziri, Panagiotis Kikiras:
Blockchained Adaptive Federated Auto MetaLearning BigData and DevOps CyberSecurity Architecture in Industry 4.0. EANN 2021: 345-363 - [c64]Anastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Lazaros Iliadis, Sotirios Valkaniotis:
Hybrid Computational Intelligence Modeling of Coseismic Landslides' Severity. ICCCI 2021: 427-442 - [c63]Konstantinos Demertzis, Lazaros Iliadis:
AI Threat Detection and Response on Smart Networks. ICCCI 2021: 685-695 - [c62]Anastasios Panagiotis Psathas, Antonios Papaleonidas, Lazaros Iliadis:
A Machine Learning Approach for Recognition of Elders' Activities Using Passive Sensors. AIAI Workshops 2021: 157-170 - [c61]Konstantinos Demertzis, Lazaros Iliadis, Panagiotis Kikiras:
A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks. AIAI Workshops 2021: 211-227 - [c60]Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis, Nikolaos Tziritas, Maria G. Koziri, Panagiotis Kikiras, Michael Tonkin:
Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework. AIAI 2021: 769-779 - 2020
- [c59]Anastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Sotiris Valkaniotis, Lazaros S. Iliadis:
Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques. EANN 2020: 15-31 - [c58]Magdalini Tyrtaiou, Antonios Papaleonidas, Anaxagoras Elenas, Lazaros S. Iliadis:
Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks. EANN 2020: 85-98 - [c57]Konstantinos Demertzis, Lazaros S. Iliadis, Elias Pimenidis:
Large-Scale Geospatial Data Analysis: Geographic Object-Based Scene Classification in Remote Sensing Images by GIS and Deep Residual Learning. EANN 2020: 274-291 - [c56]Anastasios Panagiotis Psathas, Antonios Papaleonidas, Lazaros Iliadis:
Machine Learning Modeling of Human Activity Using PPG Signals. ICCCI 2020: 543-557 - 2019
- [c55]Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis:
A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture. EANN 2019: 246-261 - [c54]Konstantinos Demertzis, Lazaros S. Iliadis, Panayiotis Kikiras, Nikos Tziritas:
Cyber-Typhon: An Online Multi-task Anomaly Detection Framework. AIAI 2019: 19-36 - [c53]Antonios Papaleonidas, Elias Pimenidis, Lazaros S. Iliadis:
Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms. AIAI 2019: 647-659 - 2018
- [c52]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 - [c51]Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis:
A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection. ICANN (1) 2018: 669-681 - [c50]Serafeim Koutsomplias, Lazaros S. Iliadis:
Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece. ICANN (1) 2018: 725-735 - [c49]Konstantinos Demertzis, Vardis-Dimitris Anezakis, Lazaros S. Iliadis, Stefanos Spartalis:
Temporal Modeling of Invasive Species' Migration in Greece from Neighboring Countries Using Fuzzy Cognitive Maps. AIAI 2018: 592-605 - [c48]Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis:
MOLESTRA: A Multi-Task Learning Approach for Real-Time Big Data Analytics. INISTA 2018: 1-8 - [c47]Anastasios Katsoukis, Lazaros S. Iliadis, Avrilia Konguetsof, Basil K. Papadopoulos:
Classification Of Road Accidents Using Fuzzy Techniques. INISTA 2018: 1-5 - 2017
- [c46]Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis:
A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems. EANN 2017: 122-134 - [c45]Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis:
A deep spiking machine-hearing system for the case of invasive fish species. INISTA 2017: 23-28 - [c44]Vardis-Dimitris Anezakis, Lazaros S. Iliadis, Konstantinos Demertzis, Georgios Mallinis:
Hybrid Soft Computing Analytics of Cardiorespiratory Morbidity and Mortality Risk Due to Air Pollution. ISCRAM-med 2017: 87-105 - 2016
- [c43]Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas:
Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers. EANN 2016: 51-63 - [c42]Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis:
Fuzzy Cognitive Maps for Long-Term Prognosis of the Evolution of Atmospheric Pollution, Based on Climate Change Scenarios: The Case of Athens. ICCCI (1) 2016: 175-186 - [c41]Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis:
A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices. AIAI 2016: 191-203 - [c40]Konstantinos Demertzis, Lazaros S. Iliadis:
Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species. INNS Conference on Big Data 2016: 333-345 - 2015
- [c39]Konstantinos Demertzis, Lazaros S. Iliadis:
Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The Case of Invasive Fish Species Lagocephalus Sceleratus. EANN 2015: 89-99 - [c38]Konstantinos Demertzis, Lazaros S. Iliadis:
SAME: An Intelligent Anti-malware Extension for Android ART Virtual Machine. ICCCI (2) 2015: 235-245 - [c37]Konstantinos Demertzis, Lazaros S. Iliadis:
Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains. SLDS 2015: 223-233 - 2014
- [c36]Konstantinos Demertzis, Lazaros S. Iliadis:
Evolving Computational Intelligence System for Malware Detection. CAiSE Workshops 2014: 322-334 - [c35]Ilias Bougoudis, Lazaros S. Iliadis, Antonios Papaleonidas:
Fuzzy Inference ANN Ensembles for Air Pollutants Modeling in a Major Urban Area: The Case of Athens. EANN 2014: 1-14 - [c34]Ilias Bougoudis, Lazaros S. Iliadis, Stephanos Spartalis:
Comparison of Self Organizing Maps Clustering with Supervised Classification for Air Pollution Data Sets. AIAI 2014: 424-435 - [c33]Konstantinos Demertzis, Lazaros S. Iliadis:
Bio-inspired Hybrid Intelligent Method for Detecting Android Malware. KICSS 2014: 289-304 - 2013
- [c32]Georgios Karapilafis, Lazaros S. Iliadis, Stefanos Spartalis, S. Katsavounis, Elias Pimenidis:
Modeling Spatiotemporal Wild Fire Data with Support Vector Machines and Artificial Neural Networks. EANN (1) 2013: 132-143 - [c31]Antonios Kalampakas, Stefanos Spartalis, Lazaros S. Iliadis:
Automata on Directed Graphs for the Recognition of Assembly Lines. EANN (1) 2013: 485-495 - [c30]Konstantinos Demertzis, Lazaros S. Iliadis:
A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification. e-Democracy 2013: 11-23 - [c29]Nicky Gkaretsa, Lazaros S. Iliadis, Stefanos Spartalis, Antonios Kalampakas:
Fuzzy Classification of Cyprus Urban Centers Based on Particulate Matter Concentrations. AIAI 2013: 182-194 - 2012
- [c28]Antonios Papaleonidas, Lazaros S. Iliadis:
Employing ANN That Estimate Ozone in a Short-Term Scale When Monitoring Stations Malfunction. EANN 2012: 71-80 - [c27]D. Vijay Rao, Ravi Shankar, Lazaros S. Iliadis, V. V. S. Sarma:
An Ontology Based Approach to Designing Adaptive Lesson Plans in Military Training Simulators. EANN 2012: 81-93 - [c26]Kyriaki Kitikidou, Elias Milios, Lazaros S. Iliadis, Minas Kaymakis:
Combination of M-Estimators and Neural Network Model to Analyze Inside/Outside Bark Tree Diameters. AIAI (1) 2012: 11-18 - [c25]Antonios Kalampakas, Stefanos Spartalis, Lazaros S. Iliadis:
Fuzzy Graph Language Recognizability. AIAI (1) 2012: 196-205 - [c24]Andonis Papaleonidas, Lazaros S. Iliadis:
Hybrid and Reinforcement Multi Agent Technology for Real Time Air Pollution Monitoring. AIAI (1) 2012: 274-284 - 2011
- [c23]Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis:
A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery. EANN/AIAI (1) 2011: 90-100 - [c22]D. Vijay Rao, Lazaros S. Iliadis, Stefanos Spartalis:
A Neuro-Fuzzy Hybridization Approach to Model Weather Operations in a Virtual Warfare Analysis System. EANN/AIAI (1) 2011: 111-121 - [c21]Lazaros S. Iliadis, Stavros Tachos, Stavros Avramidis, Shawn Mansfield:
Support Vector Machines versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation. EANN/AIAI (1) 2011: 140-149 - [c20]Kyriaki Kitikidou, Lazaros S. Iliadis:
Employing a Radial-Basis Function Artificial Neural Network to Classify Western and Transition European Economies Based on the Emissions of Air Pollutants and on Their Income. EANN/AIAI (2) 2011: 141-149 - [c19]Theocharis Tsataltzinos, Lazaros S. Iliadis, Stefanos Spartalis:
A Generalized Fuzzy-Rough Set Application for Forest Fire Risk Estimation Feature Reduction. EANN/AIAI (2) 2011: 332-341 - [c18]Lazaros S. Iliadis, Kyriaki Kitikidou:
Combination of Survival Analysis and Neural Networks to Relate Life Expectancy at Birth to Lifestyle, Environment, and Health Care Resources Indicators. EANN/AIAI (1) 2011: 491-498 - [c17]Mihaela Oprea, Lazaros S. Iliadis:
An Artificial Intelligence-Based Environment Quality Analysis System. EANN/AIAI (1) 2011: 499-508 - [c16]Xanthos Papakonstantinou, Lazaros S. Iliadis, Elias Pimenidis, Fotis P. Maris:
Fuzzy Modeling of the Climate Change Effect to Drought and to Wild Fires in Cyprus. EANN/AIAI (1) 2011: 516-528 - 2010
- [c15]Fotis P. Maris, Lazaros S. Iliadis, Stavros Tachos, Athanasios G. Loukas, Iliana Spartali, Apostolos Vasileiou, Elias Pimenidis:
Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus. ICANN (2) 2010: 21-29 - [c14]Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Aggelos D. Tsalkidis, Adam V. Adamopoulos:
A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity. ICANN (1) 2010: 241-250 - [c13]Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis:
Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space. ICANN (1) 2010: 500-510 - [c12]Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Konstantinos Kazakos, Harris Papadopoulos:
A Soft Computing Approach for Osteoporosis Risk Factor Estimation. AIAI 2010: 120-127 - [c11]Lazaros S. Iliadis, Stergios Skopianos, Stavros Tachos, Stefanos Spartalis:
A Fuzzy Inference System Using Gaussian Distribution Curves for Forest Fire Risk Estimation. AIAI 2010: 376-386 - [c10]Kyriaki Kitikidou, Lazaros S. Iliadis:
A Multi-layer Perceptron Neural Network to Predict Air Quality through Indicators of Life Quality and Welfare. AIAI 2010: 395-402 - 2009
- [c9]Lazaros S. Iliadis, Antonios Papaleonidas:
Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement. EANN 2009: 1-16 - [c8]Lazaros S. Iliadis, Stefanos Spartalis:
Intelligent Fuzzy Reasoning for Flood Risk Estimation in River Evros. EANN 2009: 55-66 - [c7]Adam V. Adamopoulos, Mirto Ntasi, Seferina Mavroudi, Spiros Likothanassis, Lazaros S. Iliadis, George C. Anastassopoulos:
Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making. EANN 2009: 165-177 - [c6]Theocharis Tsataltzinos, Lazaros S. Iliadis, Stefanos Spartalis:
Sensitivity Analysis of Forest Fire Risk Factors and Development of a Corresponding Fuzzy Inference System: The Case of Greece. EANN 2009: 313-324 - [c5]Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Adam V. Adamopoulos:
An Evolutionary Technique for Medical Diagnostic Risk Factors Selection. AIAI 2009: 195-203 - [c4]Lazaros S. Iliadis, Stefanos Spartalis:
Hydrological Neural Modeling Aided by Support Vector Machines. AIAI Workshops 2009: 248-259 - [c3]Theocharis Tsataltzinos, Lazaros S. Iliadis, Stefanos Spartalis:
An intelligent Fuzzy Inference System for Risk Estimation Using Matlab Platform: the Case of Forest Fires in Greece. AIAI 2009: 304-310 - 2007
- [c2]Lazaros S. Iliadis:
An intelligent Artificial Neural Network evaluation system using Fuzzy Set Hedges: Application in wood industry. ICTAI (2) 2007: 366-369 - 2005
- [c1]Fotis P. Maris, Lazaros S. Iliadis, Apostolos Vasileiou:
An Artificial Neural Network to Estimate Maximum Potential Load of Sediments. ITEE 2005: 418-431
Editorship
- 2023
- [e54]Lazaros Iliadis, Ilias Maglogiannis, Serafín Alonso, Chrisina Jayne, Elias Pimenidis:
Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings. Communications in Computer and Information Science 1826, Springer 2023, ISBN 978-3-031-34203-5 [contents] - [e53]Lazaros Iliadis, Antonios Papaleonidas, Plamen P. Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14260, Springer 2023, ISBN 978-3-031-44194-3 [contents] - [e52]Lazaros Iliadis, Antonios Papaleonidas, Plamen P. Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14261, Springer 2023, ISBN 978-3-031-44197-4 [contents] - [e51]Lazaros Iliadis, Antonios Papaleonidas, Plamen P. Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14262, Springer 2023, ISBN 978-3-031-44200-1 [contents] - [e50]Ilias Maglogiannis, Lazaros S. Iliadis, John MacIntyre, Manuel Domínguez:
Artificial Intelligence Applications and Innovations - 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14-17, 2023, Proceedings, Part I. IFIP Advances in Information and Communication Technology 675, Springer 2023, ISBN 978-3-031-34110-6 [contents] - [e49]Ilias Maglogiannis, Lazaros S. Iliadis, John MacIntyre, Manuel Domínguez:
Artificial Intelligence Applications and Innovations - 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14-17, 2023, Proceedings, Part II. IFIP Advances in Information and Communication Technology 676, Springer 2023, ISBN 978-3-031-34106-9 [contents] - [e48]Ilias Maglogiannis, Lazaros S. Iliadis, Antonios Papaleonidas, Ioannis P. Chochliouros:
Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops - MHDW 2023, 5G-PINE 2023, ΑΙBMG 2023, and VAA-CP-EB 2023, León, Spain, June 14-17, 2023, Proceedings. IFIP Advances in Information and Communication Technology 677, Springer 2023, ISBN 978-3-031-34170-0 [contents] - 2022
- [e47]Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, Elias Pimenidis:
Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings. Communications in Computer and Information Science 1600, Springer 2022, ISBN 978-3-031-08222-1 [contents] - [e46]Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Paulo Cortez:
Artificial Intelligence Applications and Innovations - 18th IFIP WG 12.5 International Conference, AIAI 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings, Part I. IFIP Advances in Information and Communication Technology 646, Springer 2022, ISBN 978-3-031-08332-7 [contents] - [e45]Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Paulo Cortez:
Artificial Intelligence Applications and Innovations - 18th IFIP WG 12.5 International Conference, AIAI 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings, Part II. IFIP Advances in Information and Communication Technology 647, Springer 2022, ISBN 978-3-031-08336-5 [contents] - [e44]Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Paulo Cortez:
Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops - MHDW 2022, 5G-PINE 2022, AIBMG 2022, ML@HC 2022, and AIBEI 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings. IFIP Advances in Information and Communication Technology 652, Springer 2022, ISBN 978-3-031-08340-2 [contents] - 2021
- [e43]Lazaros Iliadis, John MacIntyre, Chrisina Jayne, Elias Pimenidis:
Proceedings of the 22nd Engineering Applications of Neural Networks Conference - EANN 2021, Crete, Greece, 25-27 June, 2021. Springer 2021, ISBN 978-3-030-80567-8 [contents] - [e42]Ngoc Thanh Nguyen, Lazaros Iliadis, Ilias Maglogiannis, Bogdan Trawinski:
Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Rhodes, Greece, September 29 - October 1, 2021, Proceedings. Lecture Notes in Computer Science 12876, Springer 2021, ISBN 978-3-030-88080-4 [contents] - [e41]Ilias Maglogiannis, John MacIntyre, Lazaros Iliadis:
Artificial Intelligence Applications and Innovations - 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25-27, 2021, Proceedings. IFIP Advances in Information and Communication Technology 627, Springer 2021, ISBN 978-3-030-79149-0 [contents] - [e40]Ilias Maglogiannis, John MacIntyre, Lazaros Iliadis:
Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops - 5G-PINE 2021, AI-BIO 2021, DAAI 2021, DARE 2021, EEAI 2021, and MHDW 2021, Hersonissos, Crete, Greece, June 25-27, 2021, Proceedings. IFIP Advances in Information and Communication Technology 628, Springer 2021, ISBN 978-3-030-79156-8 [contents] - 2020
- [e39]Lazaros Iliadis, Plamen Parvanov Angelov, Chrisina Jayne, Elias Pimenidis:
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the EANN 2020, Halkidiki, Greece, June 5-7, 2020. Proceedings of the International Neural Networks Society 2, Springer 2020, ISBN 978-3-030-48790-4 [contents]Online only because of the COVID-19 pandemic. - [e38]Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis:
Artificial Intelligence Applications and Innovations - 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5-7, 2020, Proceedings, Part I. IFIP Advances in Information and Communication Technology 583, Springer 2020, ISBN 978-3-030-49160-4 [contents] - [e37]Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis:
Artificial Intelligence Applications and Innovations - 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5-7, 2020, Proceedings, Part II. IFIP Advances in Information and Communication Technology 584, Springer 2020, ISBN 978-3-030-49185-7 [contents] - [e36]Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis:
Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops - MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5-7, 2020, Proceedings. IFIP Advances in Information and Communication Technology 585, Springer 2020, ISBN 978-3-030-49189-5 [contents] - 2019
- [e35]John MacIntyre, Lazaros S. Iliadis, Ilias Maglogiannis, Chrisina Jayne:
Engineering Applications of Neural Networks - 20th International Conference, EANN 2019, Hersonissos, Crete, Greece, May 24-26, 2019, Proceedings. Communications in Computer and Information Science 1000, Springer 2019, ISBN 978-3-030-20256-9 [contents] - [e34]John MacIntyre, Ilias Maglogiannis, Lazaros S. Iliadis, Elias Pimenidis:
Artificial Intelligence Applications and Innovations - 15th IFIP WG 12.5 International Conference, AIAI 2019, Hersonissos, Crete, Greece, May 24-26, 2019, Proceedings. IFIP Advances in Information and Communication Technology 559, Springer 2019, ISBN 978-3-030-19822-0 [contents] - [e33]John MacIntyre, Ilias Maglogiannis, Lazaros S. Iliadis, Elias Pimenidis:
Artificial Intelligence Applications and Innovations - AIAI 2019 IFIP WG 12.5 International Workshops: MHDW and 5G-PINE 2019, Hersonissos, Crete, Greece, May 24-26, 2019, Proceedings. IFIP Advances in Information and Communication Technology 560, Springer 2019, ISBN 978-3-030-19908-1 [contents] - [e32]Petia D. Koprinkova-Hristova, Tuly Yildirim, Vincenzo Piuri, Lazaros S. Iliadis, David Camacho:
IEEE International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2019, Sofia, Bulgaria, July 3-5, 2019. IEEE 2019, ISBN 978-1-7281-1862-8 [contents] - 2018
- [e31]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] - [e30]Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis:
Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11139, Springer 2018, ISBN 978-3-030-01417-9 [contents] - [e29]Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis:
Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11140, Springer 2018, ISBN 978-3-030-01420-9 [contents] - [e28]Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis:
Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11141, Springer 2018, ISBN 978-3-030-01423-0 [contents] - [e27]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] - [e26]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] - 2017
- [e25]Giacomo Boracchi, Lazaros S. Iliadis, Chrisina Jayne, Aristidis Likas:
Engineering Applications of Neural Networks - 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017, Proceedings. Communications in Computer and Information Science 744, Springer 2017, ISBN 978-3-319-65171-2 [contents] - [e24]Jaap Kamps, Giannis Tsakonas, Yannis Manolopoulos, Lazaros S. Iliadis, Ioannis Karydis:
Research and Advanced Technology for Digital Libraries - 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017, Proceedings. Lecture Notes in Computer Science 10450, Springer 2017, ISBN 978-3-319-67007-2 [contents] - [e23]Plamen Angelov, Yannis Manolopoulos, Lazaros S. Iliadis, Asim Roy, Marley M. B. R. Vellasco:
Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece. Advances in Intelligent Systems and Computing 529, 2017, ISBN 978-3-319-47897-5 [contents] - 2016
- [e22]Chrisina Jayne, Lazaros S. Iliadis:
Engineering Applications of Neural Networks - 17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings. Communications in Computer and Information Science 629, Springer 2016, ISBN 978-3-319-44187-0 [contents] - [e21]Ngoc Thanh Nguyen, Yannis Manolopoulos, Lazaros S. Iliadis, Bogdan Trawinski:
Computational Collective Intelligence - 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9875, Springer 2016, ISBN 978-3-319-45242-5 [contents] - [e20]Ngoc Thanh Nguyen, Yannis Manolopoulos, Lazaros S. Iliadis, Bogdan Trawinski:
Computational Collective Intelligence - 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9876, Springer 2016, ISBN 978-3-319-45245-6 [contents] - [e19]Lazaros S. Iliadis, Ilias Maglogiannis:
Artificial Intelligence Applications and Innovations - 12th IFIP WG 12.5 International Conference and Workshops, AIAI 2016, Thessaloniki, Greece, September 16-18, 2016, Proceedings. IFIP Advances in Information and Communication Technology 475, Springer 2016, ISBN 978-3-319-44943-2 [contents] - 2015
- [e18]Lazaros S. Iliadis, Chrisina Jayne:
Workshop Proceedings of the 16th International Conference on Engineering Applications of Neural Networks, EANN 2015, Rhodes Island, Greece, September 25-28, 2015. ACM 2015, ISBN 978-1-4503-3580-5 [contents] - [e17]Lazaros S. Iliadis, Chrisina Jayne:
Engineering Applications of Neural Networks - 16th International Conference, EANN 2015, Rhodes, Greece, September 25-28, 2015, Proceedings. Communications in Computer and Information Science 517, Springer 2015, ISBN 978-3-319-23981-1 [contents] - 2014
- [e16]Lazaros S. Iliadis, Michael P. Papazoglou, Klaus Pohl:
Advanced Information Systems Engineering Workshops - CAiSE 2014 International Workshops, Thessaloniki, Greece, June 16-20, 2014. Proceedings. Lecture Notes in Business Information Processing 178, Springer 2014, ISBN 978-3-319-07868-7 [contents] - [e15]Valeri M. Mladenov, Chrisina Jayne, Lazaros S. Iliadis:
Engineering Applications of Neural Networks - 15th International Conference, EANN 2014, Sofia, Bulgaria, September 5-7, 2014. Proceedings. Communications in Computer and Information Science 459, Springer 2014, ISBN 978-3-319-11070-7 [contents] - [e14]Lazaros S. Iliadis, Ilias Maglogiannis, Harris Papadopoulos:
Artificial Intelligence Applications and Innovations - 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014. Proceedings. IFIP Advances in Information and Communication Technology 436, Springer 2014, ISBN 978-3-662-44653-9 [contents] - [e13]Lazaros S. Iliadis, Ilias Maglogiannis, Harris Papadopoulos, Spyros Sioutas, Christos Makris:
Artificial Intelligence Applications and Innovations - AIAI 2014 Workshops: CoPA, MHDW, IIVC, and MT4BD, Rhodes, Greece, September 19-21, 2014. Proceedings. IFIP Advances in Information and Communication Technology 437, Springer 2014, ISBN 978-3-662-44721-5 [contents] - 2013
- [e12]Lazaros S. Iliadis, Harris Papadopoulos, Chrisina Jayne:
Engineering Applications of Neural Networks - 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013 Proceedings, Part I. Communications in Computer and Information Science 383, Springer 2013, ISBN 978-3-642-41012-3 [contents] - [e11]Lazaros S. Iliadis, Harris Papadopoulos, Chrisina Jayne:
Engineering Applications of Neural Networks - 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013 Proceedings, Part II. Communications in Computer and Information Science 384, Springer 2013, ISBN 978-3-642-41015-4 [contents] - [e10]Harris Papadopoulos, Andreas S. Andreou, Lazaros S. Iliadis, Ilias Maglogiannis:
Artificial Intelligence Applications and Innovations - 9th IFIP WG 12.5 International Conference, AIAI 2013, Paphos, Cyprus, September 30 - October 2, 2013, Proceedings. IFIP Advances in Information and Communication Technology 412, Springer 2013, ISBN 978-3-642-41141-0 [contents] - 2012
- [e9]Chrisina Jayne, Shigang Yue, Lazaros S. Iliadis:
Engineering Applications of Neural Networks, 13th International Conference, EANN 2012, London, UK, September 20-23, 2012. Proceedings. Communications in Computer and Information Science 311, Springer 2012, ISBN 978-3-642-32908-1 [contents] - [e8]Lazaros S. Iliadis, Ilias Maglogiannis, Harris Papadopoulos:
Artificial Intelligence Applications and Innovations - 8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part I. IFIP Advances in Information and Communication Technology 381, Springer 2012, ISBN 978-3-642-33408-5 [contents] - [e7]Lazaros S. Iliadis, Ilias Maglogiannis, Harris Papadopoulos, Kostas D. Karatzas, Spyros Sioutas:
Artificial Intelligence Applications and Innovations - AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part II. IFIP Advances in Information and Communication Technology 382, Springer 2012, ISBN 978-3-642-33411-5 [contents] - 2011
- [e6]Lazaros S. Iliadis, Chrisina Jayne:
Engineering Applications of Neural Networks - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I. IFIP Advances in Information and Communication Technology 363, Springer 2011, ISBN 978-3-642-23956-4 [contents] - [e5]Lazaros S. Iliadis, Ilias Maglogiannis, Harris Papadopoulos:
Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings, Part II. IFIP Advances in Information and Communication Technology 364, Springer 2011, ISBN 978-3-642-23959-5 [contents] - 2010
- [e4]Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis:
Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6352, Springer 2010, ISBN 978-3-642-15818-6 [contents] - [e3]Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis:
Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6353, Springer 2010, ISBN 978-3-642-15821-6 [contents] - [e2]Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis:
Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6354, Springer 2010, ISBN 978-3-642-15824-7 [contents] - 2009
- [e1]Lazaros S. Iliadis, Ilias Maglogiannis, Grigorios Tsoumakas, Ioannis P. Vlahavas, Max Bramer:
Artificial Intelligence Applications and Innovations III, Proceedings of the 5TH IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI'2009), April 23-25, 2009, Thessaloniki, Greece. IFIP Advances in Information and Communication Technology 296, Springer 2009, ISBN 978-1-4419-0220-7 [contents]
Informal and Other Publications
- 2022
- [i4]Konstantinos Demertzis, Konstantinos Kostinakis, Konstantinos Morfidis, Lazaros Iliadis:
A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage. CoRR abs/2203.13449 (2022) - [i3]Konstantinos Kostinakis, Konstantinos Morfidis, Konstantinos Demertzis, Lazaros Iliadis:
Classification of Buildings' Potential for Seismic Damage by Means of Artificial Intelligence Techniques. CoRR abs/2205.01076 (2022) - 2021
- [i2]Konstantinos Demertzis, Konstantinos G. Tsiknas, Dimitrios Taketzis, Charalabos Skianis, Lazaros Iliadis:
Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework. CoRR abs/2102.08411 (2021) - [i1]Konstantinos Demertzis, Georgios C. Papadopoulos, Lazaros Iliadis, Lykourgos Magafas:
A Comprehensive Survey on Nanophotonics Neural Networks. CoRR abs/2111.01550 (2021)
Coauthor Index
[j79] [j77] [j73] [j70] [j66] [j64] [j60] [j54] [j50] [j49] [j46] [j44] [j41] [j39] [j38] [j36] [j35] [j33] [j32] [j29] [j27] [c74] [c73] [c71] [c65] [c63] [c61] [c60] [c57] [c55] [c54] [c52] [c51] [c49] [c48] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c33] [c30] [i4] [i3] [i2] [i1]
Andonis Papaleonidas
aka: Antonios Papaleonidas
aka: Antonios Papaleonidas
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