Lazaros Iliadis
Lazaros Iliadis
Sch of Engineering Dep of Civil Engineering Lab of Mathematics and Informatics Democritus University
Verified email at civil.duth.gr - Homepage
TitleCited byYear
A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation
LS Iliadis
Environmental Modelling & Software 20 (5), 613-621, 2005
1542005
Action classification in soccer videos with long short-term memory recurrent neural networks
M Baccouche, F Mamalet, C Wolf, C Garcia, A Baskurt
International Conference on Artificial Neural Networks, 154-159, 2010
882010
An artificial neural network model for mountainous water-resources management: the case of Cyprus mountainous watersheds
LS Iliadis, F Maris
Environmental Modelling & Software 22 (7), 1066-1072, 2007
792007
Time-series modeling of fishery landings using ARIMA models and Fuzzy Expected Intervals software
T Koutroumanidis, L Iliadis, GK Sylaios
Environmental Modelling & Software 21 (12), 1711-1721, 2006
632006
A computer-system that classifies the prefectures of Greece in forest fire risk zones using fuzzy sets
LS Iliadis, AK Papastavrou, PD Lefakis
Forest Policy and Economics 4 (1), 43-54, 2002
482002
HISYCOL a hybrid computational intelligence system for combined machine learning: the case of air pollution modeling in Athens
I Bougoudis, K Demertzis, L Iliadis
Neural Computing and Applications 27 (5), 1191-1206, 2016
442016
On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV
E Faliagka, L Iliadis, I Karydis, M Rigou, S Sioutas, A Tsakalidis, G Tzimas
Artificial Intelligence Review 42 (3), 515-528, 2014
442014
Predicting wood thermal conductivity using artificial neural networks
S Avramidis, L Iliadis
Wood and Fiber Science 37 (4), 682-690, 2007
412007
A hybrid network anomaly and intrusion detection approach based on evolving spiking neural network classification
K Demertzis, L Iliadis
International Conference on e-Democracy, 11-23, 2013
402013
Neural network prediction of bending strength and stiffness in western hemlock (Tsuga heterophylla Raf.)
SD Mansfield, L Iliadis, S Avramidis
Holzforschung 61 (6), 707-716, 2007
402007
Wood-water sorption isotherm prediction with artificial neural networks: a preliminary study
S Avramidis, L Iliadis
Holzforschung 59 (3), 336-341, 2005
382005
Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning
I Bougoudis, K Demertzis, L Iliadis
Integrated Computer-Aided Engineering 23 (2), 115-127, 2016
362016
An intelligent system employing an enhanced fuzzy c-means clustering model: Application in the case of forest fires
LS Iliadis, M Vangeloudh, S Spartalis
Computers and Electronics in Agriculture 70 (2), 276-284, 2010
352010
Wood dielectric loss factor prediction with artificial neural networks
S Avramidis, L Iliadis, SD Mansfield
Wood Science and Technology 40 (7), 563, 2006
352006
Intelligent information systems and applications in risk estimation
L Iliadis
Stamoulis A., publishing, Thessaloniki, Greece, 2007
342007
Adaptive elitist differential evolution extreme learning machines on big data: intelligent recognition of invasive species
K Demertzis, L Iliadis
INNS Conference on Big Data, 333-345, 2016
312016
Bio-inspired hybrid intelligent method for detecting android malware
K Demertzis, L Iliadis
Knowledge, Information and Creativity Support Systems, 289-304, 2016
312016
An innovative soft computing system for smart energy grids cybersecurity
K Demertzis, LS Iliadis, VD Anezakis
Advances in Building Energy Research 12 (1), 3-24, 2018
302018
A spiking one-class anomaly detection framework for cyber-security on industrial control systems
K Demertzis, L Iliadis, S Spartalis
International Conference on Engineering Applications of Neural Networks, 122-134, 2017
302017
Fuzzy cognitive maps for long-term prognosis of the evolution of atmospheric pollution, based on climate change scenarios: the case of Athens
VD Anezakis, K Dermetzis, L Iliadis, S Spartalis
International Conference on Computational Collective Intelligence, 175-186, 2016
292016
The system can't perform the operation now. Try again later.
Articles 1–20