Vassilios Petridis

2008
28	EE	Vassilis Syrris, Vassilios Petridis: Classification through hierarchical clustering and dimensionality reduction. IJCNN 2008: 1598-1603
2007
27	EE	Pavlina Fragkou, Vassilios Petridis: Segmentation of Greek Text by Dynamic Programming. ICTAI (2) 2007: 370-373
26	EE	Vassilios Petridis, Vassilis Syrris: Machine Learning Techniques for Environmental Data Estimation. Computational Intelligence Based on Lattice Theory 2007: 195-214
2006
25	EE	Anastasios-Antonios Toulkeridis, Vassilios Petridis: From Signaling to Word-Combination, a Layered Approach. IJCNN 2006: 1589-1595
24	EE	Vassilios Petridis, Stavros Petridis: Construction of Neural Network Based Lyapunov Functions. IJCNN 2006: 5059-5065
2004
23	EE	Pavlina Fragkou, Vassilios Petridis, Athanasios Kehagias: A Dynamic Programming Algorithm for Linear Text Segmentation. J. Intell. Inf. Syst. 23(2): 179-197 (2004)
2003
22	EE	Athanasios Kehagias, Pavlina Fragkou, Vassilios Petridis: Linear Text Segmentation using a Dynamic Programming Algorithm. EACL 2003: 171-178
21		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)
20	EE	Vassilios Petridis, Vassilis G. Kaburlasos: FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples. Journal of Machine Learning Research 4: 17-37 (2003)
2002
19	EE	Panagiotis Adamidis, Vassilios Petridis: On Modelling Evolutionary Algorithm Implementations through Co-operating Populations. PPSN 2002: 321-330
2001
18	EE	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 and Systems 118(2): 215-233 (2001)
17		Spiridon A. Kazarlis, Stelios E. Papadakis, Ioannis B. Theocharis, Vassilios Petridis: Microgenetic algorithms as generalized hill-climbing operators for GA optimization. IEEE Trans. Evolutionary Computation 5(3): 204-217 (2001)
16	EE	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)
15	EE	Vassilios Petridis, Athanasios Kehagias, Loukas Petrou, A. G. Bakirtzis, S. Kiartzis, H. Panagiotou, N. Maslaris: A Bayesian Multiple Models Combination Method for Time Series Prediction. Journal of Intelligent and Robotic Systems 31(1-3): 69-89 (2001)
2000
14	EE	Vassilis G. Kaburlasos, Vassilios Petridis: Fuzzy Lattice Neurocomputing (FLN) models. Neural Networks 13(10): 1145-1170 (2000)
1999
13		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 Transactions on Information Technology in Biomedicine 3(4): 268-277 (1999)
1998
12		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
11	EE	E. Paterakis, Vassilios Petridis, Athanasios Kehagias: Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems. PPSN 1998: 1008-1017
10	EE	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
9	EE	Vassilios Petridis, E. Paterakis, Athanasios Kehagias: A hybrid neural-genetic multimodel parameter estimation algorithm. IEEE Transactions on Neural Networks 9(5): 862-876 (1998)
8	EE	Vassilios Petridis, Vassilis G. Kaburlasos: Fuzzy lattice neural network (FLNN): a hybrid model for learning. IEEE Transactions on Neural Networks 9(5): 877-890 (1998)
7		Vassilios Petridis, Spiridon A. Kazarlis, A. G. Bakirtzis: Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(5): 629-640 (1998)
1997
6	EE	Athanasios Kehagias, Vassilios Petridis: Time-Series Segmentation Using Predictive Modular Neural Networks. Neural Computation 9(8): 1691-1709 (1997)
5	EE	Athanasios Kehagias, Vassilios Petridis: Predictive Modular Neural Networks for Time Series Classification. Neural Networks 10(1): 31-49 (1997)
1996
4		Panagiotis Adamidis, Vassilios Petridis: Co-Operating Populations with Different Evolution Behaviours. International Conference on Evolutionary Computation 1996: 188-191
1995
3		K. Paraschidis, Nikolaos Fahantidis, V. Vassiliadis, Vassilios Petridis, Zoi Doulgeri, Loukas Petrou, Georgios Hasapis: A Robotic System for Handling Textile Materials. ICRA 1995: 1769-1774
1994
2		Vassilios Petridis, Spiridon A. Kazarlis: Varying Quality Function in Genetic Algorithms and the Cutting Problem. International Conference on Evolutionary Computation 1994: 166-169
1984
1	EE	J. Theocharis, Vassilios Petridis: Comparison of three nonlinear filtering schemes. Inf. Sci. 32(2): 91-116 (1984)

Coauthor Index

1	Panagiotis Adamidis	[4] [19]
2	Dave A. Baker	[12] [13]
3	A. G. Bakirtzis	[7] [15]
4	Peter N. Brett	[12] [13]
5	Zoi Doulgeri	[3]
6	Nikolaos Fahantidis	[3]
7	Pavlina Fragkou	[21] [22] [23] [27]
8	Georgios Hasapis	[3]
9	Vassilis G. Kaburlasos	[8] [12] [13] [14] [16] [20] [21]
10	Spiridon A. Kazarlis	[2] [7] [10] [17]
11	Athanasios Kehagias	[5] [6] [9] [11] [15] [21] [22] [23]
12	S. Kiartzis	[15]
13	N. Maslaris	[15]
14	Paris A. Mastorocostas	[18]
15	H. Panagiotou	[15]
16	Stelios E. Papadakis	[17]
17	K. Paraschidis	[3]
18	E. Paterakis	[9] [11]
19	Stavros Petridis	[24]
20	Loukas Petrou	[3] [15]
21	Vassilis Syrris	[26] [28]
22	Ioannis B. Theocharis (John B. Theocharis, J. B. Theocharis)	[17] [18]
23	J. Theocharis	[1]
24	Anastasios-Antonios Toulkeridis	[25]
25	V. Vassiliadis	[3]

Colors in the list of coauthors