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Vassilios Petridis
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2010 – 2019
- 2016
- [i1]Nikos Zikos, Vassilios Petridis:
Generative Simultaneous Localization and Mapping (G-SLAM). CoRR abs/1607.05217 (2016) - 2015
- [j33]Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis, Vassilios Petridis:
Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images. Eng. Appl. Artif. Intell. 38: 203-220 (2015) - [j32]Nikos Zikos, Vassilios Petridis:
6-DoF Low Dimensionality SLAM (L-SLAM). J. Intell. Robotic Syst. 79(1): 55-72 (2015) - 2012
- [j31]Serafeim P. Moustakidis, Giorgos Mallinis, Nikos Koutsias, John B. Theocharis, Vassilios Petridis:
SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 50(1): 149-169 (2012) - [c19]Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis, Vassilios Petridis:
Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images. FUZZ-IEEE 2012: 1-8 - 2011
- [j30]Charalampos A. Dimoulas, George Papanikolaou, Vassilios Petridis:
Pattern classification and audiovisual content management techniques using hybrid expert systems: A video-assisted bioacoustics application in Abdominal Sounds pattern analysis. Expert Syst. Appl. 38(10): 13082-13093 (2011) - [j29]Vassilis Syrris, Vassilios Petridis:
A lattice-based neuro-computing methodology for real-time human action recognition. Inf. Sci. 181(10): 1874-1887 (2011) - [c18]Nikos Zikos, Vassilios Petridis:
L-SLAM: Reduced dimensionality FastSLAM with unknown data association. ICRA 2011: 4074-4079 - 2010
- [c17]Vassilios Petridis, Nikos Zikos:
L-SLAM: Reduced dimensionality FastSLAM algorithms. IJCNN 2010: 1-7 - [c16]Vassilis Syrris, Vassilios Petridis:
A hierarchical predictive scheme for incremental time-series classification. IJCNN 2010: 1-8
2000 – 2009
- 2008
- [j28]Charalampos Dimoulas, George Kalliris, George Papanikolaou, Vassilios Petridis, Antonios Kalampakas:
Bowel-sound pattern analysis using wavelets and neural networks with application to long-term, unsupervised, gastrointestinal motility monitoring. Expert Syst. Appl. 34(1): 26-41 (2008) - [j27]Nikolaos E. Mitrakis, John B. Theocharis, Vassilios Petridis:
A multilayered neuro-fuzzy classifier with self-organizing properties. Fuzzy Sets Syst. 159(23): 3132-3159 (2008) - [c15]Iordanis Mpiperis, Sotiris Malassiotis, Vassilios Petridis, Michael G. Strintzis:
3D facial expression recognition using swarm intelligence. ICASSP 2008: 2133-2136 - [c14]Vassilis Syrris, Vassilios Petridis:
Classification through hierarchical clustering and dimensionality reduction. IJCNN 2008: 1598-1603 - 2007
- [c13]Pavlina Fragkou, Vassilios Petridis:
Segmentation of Greek Text by Dynamic Programming. ICTAI (2) 2007: 370-373 - [p1]Vassilios Petridis, Vassilis Syrris:
Machine Learning Techniques for Environmental Data Estimation. Computational Intelligence Based on Lattice Theory 2007: 195-214 - 2006
- [c12]Vassilios Petridis, John B. Theocharis, Vassilis Syrris:
Application of Fuzzy Lattice Neurocomputing (FLN) for Environmental Data Estimation. FUZZ-IEEE 2006: 337-343 - [c11]Anastasios-Antonios Toulkeridis, Vassilios Petridis:
From Signaling to Word-Combination, a Layered Approach. IJCNN 2006: 1589-1595 - [c10]Vassilios Petridis, Stavros Petridis:
Construction of Neural Network Based Lyapunov Functions. IJCNN 2006: 5059-5065 - 2004
- [j26]Pavlina Fragkou, Vassilios Petridis, Athanasios Kehagias:
A Dynamic Programming Algorithm for Linear Text Segmentation. J. Intell. Inf. Syst. 23(2): 179-197 (2004) - 2003
- [j25]Athanasios Kehagias, Vassilios Petridis, Vassilis G. Kaburlasos, Pavlina Fragkou:
A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms. J. Intell. Inf. Syst. 21(3): 227-247 (2003) - [j24]Vassilios Petridis, Vassilis G. Kaburlasos:
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples. J. Mach. Learn. Res. 4: 17-37 (2003) - [j23]Vassilios Petridis, Spiridon A. Kazarlis, Vassilis G. Kaburlasos:
ACES: an interactive software platform for self-instruction and self-evaluation in automatic control systems. IEEE Trans. Educ. 46(1): 102-110 (2003) - [c9]Athanasios Kehagias, Pavlina Fragkou, Vassilios Petridis:
Linear Text Segmentation using a Dynamic Programming Algorithm. EACL 2003: 171-178 - 2002
- [j22]Vassilis G. Kaburlasos, Vasilis A. Spais, Vassilios Petridis, Loukas Petrou, Spiridon A. Kazarlis, N. Maslaris, A. Kallinakis:
Intelligent clustering techniques for prediction of sugar production. Math. Comput. Simul. 60(3-5): 159-168 (2002) - [j21]Athanasios Kehagias, Vassilios Petridis:
Predictive modular neural networks for unsupervised segmentation of switching time series: the data allocation problem. IEEE Trans. Neural Networks 13(6): 1432-1449 (2002) - [c8]Panagiotis Adamidis, Vassilios Petridis:
On Modelling Evolutionary Algorithm Implementations through Co-operating Populations. PPSN 2002: 321-330 - 2001
- [j20]Paris A. Mastorocostas, Ioannis B. Theocharis, Vassilios Petridis:
A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting. Fuzzy Sets Syst. 118(2): 215-233 (2001) - [j19]Vassilios Petridis, Athanasios Kehagias, Loukas Petrou, Anastasios G. Bakirtzis, S. Kiartzis, H. Panagiotou, N. Maslaris:
A Bayesian Multiple Models Combination Method for Time Series Prediction. J. Intell. Robotic Syst. 31(1-3): 69-89 (2001) - [j18]Spiridon A. Kazarlis, Stelios E. Papadakis, Ioannis B. Theocharis, Vassilios Petridis:
Microgenetic algorithms as generalized hill-climbing operators for GA optimization. IEEE Trans. Evol. Comput. 5(3): 204-217 (2001) - [j17]Vassilios Petridis, Vassilis G. Kaburlasos:
Clustering and Classification in Structured Data Domains Using Fuzzy Lattice Neurocomputing (FLN). IEEE Trans. Knowl. Data Eng. 13(2): 245-260 (2001) - 2000
- [j16]Vassilis G. Kaburlasos, Vassilios Petridis:
Fuzzy Lattice Neurocomputing (FLN) models. Neural Networks 13(10): 1145-1170 (2000)
1990 – 1999
- 1999
- [j15]Vassilios Petridis, Vassilis G. Kaburlasos:
Learning in the framework of fuzzy lattices. IEEE Trans. Fuzzy Syst. 7(4): 422-440 (1999) - [j14]Vassilis G. Kaburlasos, Vassilios Petridis, Peter N. Brett, Dave A. Baker:
Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning technique. IEEE Trans. Inf. Technol. Biomed. 3(4): 268-277 (1999) - 1998
- [j13]Vassilios Petridis, Athanasios Kehagias:
A Multi-model Algorithm for Parameter Estimation of Time-varying Nonlinear Systems. Autom. 34(4): 469-475 (1998) - [j12]Panagiotis Adamidis, Vassilios Petridis:
On the parallelization of artificial neural networks and genetic algorithms. Int. J. Comput. Math. 67(1-2): 105-125 (1998) - [j11]Vassilios Petridis, E. Paterakis, Athanasios Kehagias:
A hybrid neural-genetic multimodel parameter estimation algorithm. IEEE Trans. Neural Networks 9(5): 862-876 (1998) - [j10]Vassilios Petridis, Vassilis G. Kaburlasos:
Fuzzy lattice neural network (FLNN): a hybrid model for learning. IEEE Trans. Neural Networks 9(5): 877-890 (1998) - [j9]Vassilios Petridis, Spiridon A. Kazarlis, Anastasios G. Bakirtzis:
Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems. IEEE Trans. Syst. Man Cybern. Part B 28(5): 629-640 (1998) - [c7]Vassilis G. Kaburlasos, Vassilios Petridis, Peter N. Brett, Dave A. Baker:
Learning a Linear Association of Drilling Profiles in Stapedotomy Surgery. ICRA 1998: 705-710 - [c6]Spiridon A. Kazarlis, Vassilios Petridis:
Varying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty Terms. PPSN 1998: 211-220 - [c5]E. Paterakis, Vassilios Petridis, Athanasios Kehagias:
Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems. PPSN 1998: 1008-1017 - 1997
- [j8]Athanasios Kehagias, Vassilios Petridis:
Time-Series Segmentation Using Predictive Modular Neural Networks. Neural Comput. 9(8): 1691-1709 (1997) - [j7]Athanasios Kehagias, Vassilios Petridis:
Predictive Modular Neural Networks for Time Series Classification. Neural Networks 10(1): 31-49 (1997) - [j6]Nikolaos Fahantidis, K. Paraschidis, Vassilios Petridis, Zoe Doulgeri, Loukas Petrou, Georgios Hasapis:
Robot handling of flat textile materials. IEEE Robotics Autom. Mag. 4(1): 34-41 (1997) - [j5]Vassilios Petridis, Athanasios Kehagias:
Predictive modular fuzzy systems for time-series classification. IEEE Trans. Fuzzy Syst. 5(3): 381-397 (1997) - 1996
- [j4]Vassilios Petridis, Athanasios Kehagias:
A Recurrent Network Implementation of Time Series Classification. Neural Comput. 8(2): 357-372 (1996) - [j3]Vassilios Petridis, Athanasios Kehagias:
Modular neural networks for MAP classification of time series and the partition algorithm. IEEE Trans. Neural Networks 7(1): 73-86 (1996) - [c4]Panagiotis Adamidis, Vassilios Petridis:
Co-Operating Populations with Different Evolution Behaviours. International Conference on Evolutionary Computation 1996: 188-191 - [c3]S. Kiartzis, C. E. Zoumas, Anastasios G. Bakirtzis, Vassilios Petridis:
Data pre-processing for short-term load forecasting in an autonomous power system using artificial neural networks. ICECS 1996: 1021-1024 - 1995
- [j2]Vassilios Petridis, K. Paraschidis:
On the properties of the feedforward method: A simple training law for on-chip learning. IEEE Trans. Neural Networks 6(6): 1536-1541 (1995) - [c2]K. Paraschidis, Nikolaos Fahantidis, V. Vassiliadis, Vassilios Petridis, Zoe Doulgeri, Loukas Petrou, Georgios Hasapis:
A Robotic System for Handling Textile Materials. ICRA 1995: 1769-1774 - 1994
- [c1]Vassilios Petridis, Spiridon A. Kazarlis:
Varying Quality Function in Genetic Algorithms and the Cutting Problem. International Conference on Evolutionary Computation 1994: 166-169
1980 – 1989
- 1984
- [j1]John B. Theocharis, Vassilios Petridis:
Comparison of three nonlinear filtering schemes. Inf. Sci. 32(2): 91-116 (1984)
Coauthor Index
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