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Vasileios G. Kaburlasos
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2020 – today
- 2023
[j42]Lyuba Alboul, Maya Dimitrova, Anna K. Lekova
, Vassilis G. Kaburlasos, Peter Mitrouchev:
Editorial: Emerging technologies for assistive robotics: current challenges and perspectives. Frontiers Robotics AI 10 (2023)- [j41]Chris Lytridis, Christos Bazinas, Ioannis Kalathas, George Siavalas, Christos Tsakmakis, Theodoros Spirantis, Eftichia Badeka, Theodore P. Pachidis, Vassilis G. Kaburlasos:
Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots. Robotics 12(6): 147 (2023) - [j40]Eftichia Badeka, Eleftherios Karapatzak, Aikaterini Karampatea, Elizabeth Bouloumpasi, Ioannis Kalathas, Chris Lytridis, Emmanouil Tziolas, Nikoleta-Victoria Tsakalidou, Vassilis G. Kaburlasos:
A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7. Sensors 23(19): 8126 (2023) - [c59]Christos Bazinas, Chris Lytridis, Vassilis G. Kaburlasos:
Meta-Statistical Deep Learning for Stochastic Time-Series Prediction in Agricultural Applications. INNS DLIA@IJCNN 2023: 293-302 - 2022
- [j39]Kyriakos D. Apostolidis, Theofanis Kalampokas, Theodore P. Pachidis, Vassilis G. Kaburlasos:
Grapevine Plant Image Dataset for Pruning. Data 7(8): 110 (2022) - [j38]Intissar Salhi, Mohammed Qbadou, Soukaina Gouraguine, Khalifa Mansouri, Chris Lytridis, Vassilis G. Kaburlasos:
Towards Robot-Assisted Therapy for Children With Autism - The Ontological Knowledge Models and Reinforcement Learning-Based Algorithms. Frontiers Robotics AI 9: 713964 (2022) - [j37]Chris Lytridis, Vassilis G. Kaburlasos, Christos Bazinas, George A. Papakostas, George K. Sidiropoulos, Vasiliki-Aliki Nikopoulou, Vasiliki Holeva, Maria Papadopoulou, Athanasios Evangeliou:
Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques. Sensors 22(2): 621 (2022) - [j36]Chris Lytridis, Christos Bazinas, Theodore P. Pachidis, Vassilios Chatzis, Vassilis G. Kaburlasos:
Coordinated Navigation of Two Agricultural Robots in a Vineyard: A Simulation Study. Sensors 22(23): 9095 (2022) - [c58]Eleni Vrochidou, Christos Bazinas, Efthimia Mavridou, Theodore P. Pachidis, Spyridon Mamalis, Stefanos Koundouras, Theodoros Gkrimpizis, Vassilis G. Kaburlasos:
Considerations for a Multi-purpose Agrobot Design Toward Automating Skillful Viticultural Tasks: A Study in Northern Greece Vineyards. HAICTA 2022: 45-51 - [c57]Vassilis G. Kaburlasos, Christos Bazinas, Eleni Vrochidou, Eleftherios Karapatzak:
Agricultural Yield Prediction by Difference Equations on Data-Induced Cumulative Possibility Distributions. NAFIPS 2022: 90-100 - [c56]Chrysanthi Chariskou, Christos Bazinas, Andries J. Daniels, Umezuruike L. Opara, Hélène H. Nieuwoudt, Vassilis G. Kaburlasos:
Variable Selection for the Prediction of TSS, pH and TA of Intact Berries of Thompson Seedless Grapes from their NIS Reflection. SoftCOM 2022: 1-5 - 2021
- [j35]Theofanis Kalampokas, Eleni Vrochidou, George A. Papakostas, Theodore P. Pachidis, Vassilis G. Kaburlasos:
Grape stem detection using regression convolutional neural networks. Comput. Electron. Agric. 186: 106220 (2021) - [c55]Christos Bazinas, Eleni Vrochidou, Chris Lytridis, Vassilis G. Kaburlasos:
Yield Estimation in Vineyards Using Intervals' Numbers Techniques. PCI 2021: 454-459 - [c54]Elpida Karageorgiou, Efrosyni Kourampa, Athanasia-Tania Papanikolaou, Petros Kechayas, Eleftheria Avramidou, Rafailia-Androniki Sabri, Chris Lytridis, George A. Papakostas, Vassilis G. Kaburlasos:
Development of Educational Scenarios for Child-Robot Interaction: The Case of Learning Disabilities. RiE 2021: 26-33 - [c53]Lemonia C. Karathanasi, Christos Bazinas, Grigorios Iordanou, Vassilis G. Kaburlasos:
A Study on Text Classification for Applications in Special Education. SoftCOM 2021: 1-5 - [c52]Chris Lytridis, Vassilis G. Kaburlasos, Christos Bazinas, George A. Papakostas, Christina I. Papadopoulou, Vasiliki-Aliki Nikopoulou:
A Software Toolbox for Behavioral Analysis in Robot-Assisted Special Education. SoftCOM 2021: 1-5 - 2020
- [j34]Angelos Amanatiadis, Vasileios G. Kaburlasos, Christina Dardani, Savvas A. Chatzichristofis, Athanasios C. Mitropoulos:
Social Robots in Special Education: Creating Dynamic Interactions for Optimal Experience. IEEE Consumer Electron. Mag. 9(3): 39-45 (2020) - [c51]Vassilis G. Kaburlasos:
The Lattice Computing (LC) Paradigm. CLA 2020: 1-7 - [c50]Theofanis Kalampokas, Konstantinos Tziridis, Alexandros Nikolaou, Eleni Vrochidou, George A. Papakostas, Theodore P. Pachidis, Vassilis G. Kaburlasos:
Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks. EANN 2020: 292-303 - [c49]Eleni Vrochidou, Theodore P. Pachidis, Michail Manios, George A. Papakostas, Vassilis G. Kaburlasos, Serafeim Theocharis, Stefanos Koundouras, Katerina Karabatea, Elizabeth Bouloumpasi, Stavros Pavlidis, Spyridon Mamalis, Theodora Merou:
Identifying the Technological Needs for Developing a Grapes Harvesting Robot: Operations and Systems. HAICTA 2020: 105-113 - [c48]Eleni Vrochidou, George A. Papakostas, Vassilis G. Kaburlasos:
Real-time vineyard trunk detection for a grapes harvesting robot via deep learning. ICMV 2020: 116051D - [c47]Vassilis G. Kaburlasos, Eleni Vrochidou, Chris Lytridis, George A. Papakostas, Theodore P. Pachidis, Michail Manios, Spyridon Mamalis, Theodora Merou, Stefanos Koundouras, Serafeim Theocharis, George Siavalas, Christos Sgouros, P. Kyriakidis:
Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques. IJCNN 2020: 1-6 - [c46]Eftichia Badeka, Eleni Vrochidou, Konstantinos Tziridis, Alexander Nicolaou, George A. Papakostas, Theodore P. Pachidis, Vassilis G. Kaburlasos:
Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing. IEEE Conf. on Intelligent Systems 2020: 171-177 - [c45]Rafaela Efstratiou, Charalambos Karatsioras, Maria Papadopoulou, Cristina I. Papadopoulou, Chris Lytridis, Christos Bazinas, George A. Papakostas, Vassilis G. Kaburlasos:
Teaching Daily Life Skills in Autism Spectrum Disorder (ASD) Interventions Using the Social Robot Pepper. RiE 2020: 86-97 - [c44]George K. Sidiropoulos, Christos Bazinas, Chris Lytridis, George A. Papakostas, Vassilis G. Kaburlasos, Petros Kechayas, Efi Kourampa, Sotirianna Rafaela Katsi, Charalambos Karatsioras:
Synergy of Intelligent Algorithms for Efficient Child-Robot Interaction in Special Education: A Feasibility Study. RiE 2020: 98-105 - [c43]Vassilis G. Kaburlasos, Chris Lytridis, Christos Bazinas, Stamatis Chatzistamatis, Kalliopi Sotiropoulou, Aouatif Najoua, Mohamed Youssfi, Omar Bouattane:
Head Pose Estimation Using Lattice Computing Techniques. SoftCOM 2020: 1-5 - [c42]Chris Lytridis, Cristina I. Papadopoulou, George A. Papakostas, Vassilis G. Kaburlasos, Vasiliki-Aliki Nikopoulou, Maria Dialechti Kerasidou, Nikolaos Dalivigkas:
Robot-Assisted Autism Spectrum Disorder (ASD) Interventions: A Multi-Robot Approach. SoftCOM 2020: 1-4 - [c41]Theodore P. Pachidis, Christos Sgouros, Vassilis G. Kaburlasos, Eleni Vrochidou, Theofanis Kalampokas, Konstantinos Tziridis, Alexandros Nikolaou, George A. Papakostas:
Forward Kinematic Analysis of JACO2 Robotic Arm Towards Implementing a Grapes Harvesting Robot. SoftCOM 2020: 1-6
2010 – 2019
- 2019
- [j33]Yunxia Zhang, Degen Huang, Wei Gao, Vassilis G. Kaburlasos:
A Decision Making Approach with Linguistic Weight and Unavoidable Incomparable Ranking. Int. J. Comput. Intell. Syst. 12(2): 1102-1112 (2019) - [j32]Efthimia Mavridou, Eleni Vrochidou, George A. Papakostas, Theodore P. Pachidis, Vassilis G. Kaburlasos:
Machine Vision Systems in Precision Agriculture for Crop Farming. J. Imaging 5(12): 89 (2019) - [c40]Vassilis G. Kaburlasos, Eleni Vrochidou, Fotios Panagiotopoulos, Charalampos AN. itsidis, Alexander Jaki:
Time Series Classification in Cyber-Physical System Applications by Intervals' Numbers Techniques. FUZZ-IEEE 2019: 1-6 - [c39]Chris Lytridis, Eleni Vrochidou, George K. Sidiropoulos, George A. Papakostas, Vassilis G. Kaburlasos, Efi Kourampa, Elpida Karageorgiou:
Audio Signal Recognition Based on Intervals' Numbers (INs) Classification Techniques. IISA 2019: 1-4 - [c38]Chris Lytridis, Christos Bazinas, George A. Papakostas, Vassilis G. Kaburlasos:
On Measuring Engagement Level During Child-Robot Interaction in Education. RiE 2019: 3-13 - [c37]Vasiliki Holeva, Vasiliki-Aliki Nikopoulou, Maria Papadopoulou, Eleni Vrochidou, George A. Papakostas, Vassilis G. Kaburlasos:
Toward Robot-Assisted Psychosocial Intervention for Children with Autism Spectrum Disorder (ASD). ICSR 2019: 484-493 - [c36]Chris Lytridis, Christos Bazinas, Vassilis G. Kaburlasos, Violina Vassileva-Aleksandrova, Mohamed Youssfi, Mohammed Mestari, Vassilios Ferelis, Alexander Jaki:
Social Robots as Cyber-Physical Actors in Entertainment and Education. SoftCOM 2019: 1-6 - 2018
- [c35]George A. Papakostas, Vassilis G. Kaburlasos:
Modeling in Cyber-Physical Systems by Lattice Computing Techniques: The Case of Image Watermarking Based on Intervals' Numbers. FUZZ-IEEE 2018: 1-6 - [c34]Vassilis G. Kaburlasos, Christina Dardani, Maya Dimitrova, Angelos Amanatiadis:
Multi-robot engagement in special education: A preliminary study in autism. ICCE 2018: 1-2 - [c33]Angelos Amanatiadis, Vasileios G. Kaburlasos, Elias B. Kosmatopoulos:
Interpolation Kernels in Fully Convolutional Networks and their Effect in Robot Vision Tasks. IST 2018: 1-5 - [c32]Angelos Amanatiadis, Vasileios G. Kaburlasos, Elias B. Kosmatopoulos:
Understanding Deep Convolutional Networks through Gestalt Theory. IST 2018: 1-6 - [c31]Snezhana Kostova, Maya Dimitrova, Vassilis G. Kaburlasos, Eleni Vrochidou, George A. Papakostas, Theodore P. Pachidis, Svetoslava Saeva, Mirjana Bonkovic, Stanko Kruzic, Tea Marasovic, Josip Music, Vladan Papic, Milen Zamfirov:
Identifying Needs of Robotic and Technological Solutions for the Classroom. SoftCOM 2018: 1-6 - [c30]Chris Lytridis, Eleni Vrochidou, Stamatis Chatzistamatis, Vassilis G. Kaburlasos:
Social Engagement Interaction Games Between Children with Autism and Humanoid Robot NAO. SOCO-CISIS-ICEUTE 2018: 562-570 - [i1]Angelos Amanatiadis, Vasileios G. Kaburlasos, Elias B. Kosmatopoulos:
Understanding Deep Convolutional Networks through Gestalt Theory. CoRR abs/1810.08697 (2018) - 2017
- [c29]Angelos Amanatiadis, Vassilis G. Kaburlasos, Christina Dardani, Savvas A. Chatzichristofis:
Interactive social robots in special education. ICCE-Berlin 2017: 126-129 - 2015
- [j31]Vassilis G. Kaburlasos, George A. Papakostas:
Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications. IEEE Comput. Intell. Mag. 10(3): 42-51 (2015) - [j30]George A. Papakostas, Alexandre Savio, Manuel Graña, Vassilis G. Kaburlasos:
A lattice computing approach to Alzheimer's disease computer assisted diagnosis based on MRI data. Neurocomputing 150: 37-42 (2015) - [c28]George A. Papakostas, Elpiniki I. Papageorgiou, Vassilis G. Kaburlasos:
Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition. FUZZ-IEEE 2015: 1-7 - 2014
- [j29]Yazdan Jamshidi, Vassilis G. Kaburlasos:
gsaINknn: A GSA optimized, lattice computing knn classifier. Eng. Appl. Artif. Intell. 35: 277-285 (2014) - [j28]Vassilis G. Kaburlasos, Theodore P. Pachidis:
A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application. Inf. Fusion 16: 68-83 (2014) - [j27]Stelios E. Papadakis, Vassilis G. Kaburlasos, George A. Papakostas:
Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition. J. Multiple Valued Log. Soft Comput. 22(4-6): 561-579 (2014) - [j26]Vassilis G. Kaburlasos, Athanasios Kehagias:
Fuzzy Inference System (FIS) Extensions Based on the Lattice Theory. IEEE Trans. Fuzzy Syst. 22(3): 531-546 (2014) - [c27]George A. Papakostas, Vassilis G. Kaburlasos:
Lattice computing (LC) meta-representation for pattern classification. FUZZ-IEEE 2014: 39-44 - [c26]Vassilis G. Kaburlasos, Vassilis Tsoukalas, Lefteris Moussiades:
FCknn: A granular knn classifier based on formal concepts. FUZZ-IEEE 2014: 61-68 - [c25]Josu Maiora, George A. Papakostas, Vassilis G. Kaburlasos, Manuel Graña:
A proposal of Texture Features for interactive CTA Segmentation by Active Learning. InMed 2014: 311-320 - 2013
- [j25]George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos:
Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view. Pattern Recognit. Lett. 34(14): 1609-1622 (2013) - [j24]Vassilis G. Kaburlasos, Stelios E. Papadakis, George A. Papakostas:
Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1526-1538 (2013) - [c24]Vassilis G. Kaburlasos, George A. Papakostas, Theodore P. Pachidis, Alex Athinellis:
Intervals' Numbers (INs) interpolation/extrapolation. FUZZ-IEEE 2013 - [c23]George A. Papakostas, Vassilis G. Kaburlasos, Theodore P. Pachidis:
Thermal infrared face recognition based on lattice computing (LC) techniques. FUZZ-IEEE 2013: 1-6 - [c22]Vassilis Tsoukalas, Vassilis G. Kaburlasos, Christos Skourlas:
A granular, parametric KNN classifier. Panhellenic Conference on Informatics 2013: 319-326 - 2012
- [j23]Anestis G. Hatzimichailidis, George A. Papakostas, Vassilis G. Kaburlasos:
A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems. Int. J. Intell. Syst. 27(4): 396-409 (2012) - [j22]Vassilis G. Kaburlasos, Stelios E. Papadakis, Angelos Amanatiadis:
Binary Image 2D Shape Learning and Recognition Based on Lattice-Computing (LC) Techniques. J. Math. Imaging Vis. 42(2-3): 118-133 (2012) - [c21]Theodore P. Pachidis, Vassilis G. Kaburlasos:
Person Identification Based on Lattice Computing k-Nearest-Neighbor Fingerprint Classification. KES 2012: 1720-1729 - [c20]Vassilis G. Kaburlasos:
Fuzzy Lattice Reasoning (FLR) Extensions to Lattice-Valued Logic. Panhellenic Conference on Informatics 2012: 445-448 - 2011
- [j21]Vassilis G. Kaburlasos:
Special issue: Information engineering applications based on lattices. Inf. Sci. 181(10): 1771-1773 (2011) - 2010
- [j20]Stelios E. Papadakis, Vassilis G. Kaburlasos:
Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs). Inf. Sci. 180(24): 5060-5076 (2010) - [c19]Vassilis G. Kaburlasos, Angelos Amanatiadis, Stelios E. Papadakis:
2-D Shape Representation and Recognition by Lattice Computing Techniques. HAIS (2) 2010: 391-398 - [c18]Vassilis G. Kaburlasos:
Granular Fuzzy Inference System (FIS) Design by Lattice Computing. HAIS (2) 2010: 410-417
2000 – 2009
- 2009
- [j19]Vassilis G. Kaburlasos, Stelios E. Papadakis:
A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR). Neurocomputing 72(10-12): 2067-2078 (2009) - [j18]Vassilis G. Kaburlasos, Lefteris Moussiades, Athena Vakali:
Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning. Neurocomputing 72(10-12): 2121-2133 (2009) - [r1]Vassilis G. Kaburlasos:
Neural/Fuzzy Computing Based on Lattice Theory. Encyclopedia of Artificial Intelligence 2009: 1238-1243 - 2008
- [j17]Vassilis G. Kaburlasos, Catherine Marinagi, Vassilis Tsoukalas:
Personalized multi-student improvement based on Bayesian cybernetics. Comput. Educ. 51(4): 1430-1449 (2008) - 2007
- [j16]Vassilis G. Kaburlasos, Ioannis N. Athanasiadis, Pericles A. Mitkas:
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation. Int. J. Approx. Reason. 45(1): 152-188 (2007) - [j15]Vassilis G. Kaburlasos, Athanasios Kehagias:
Novel Fuzzy Inference System (FIS) Analysis and Design Based on Lattice Theory. IEEE Trans. Fuzzy Syst. 15(2): 243-260 (2007) - [c17]Theodoros Alevizos, Vassilis G. Kaburlasos, Stelios E. Papadakis, Christos Skourlas, Petros Belsis:
Fuzzy Interval Number (FIN) Techniques for Multilingual and Cross Language Information Retrieval. ICEIS (2) 2007: 348-355 - [c16]Vassilis G. Kaburlasos:
Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory. IWANN 2007: 80-93 - [p1]Vassilis G. Kaburlasos:
Granular Enhancement of Fuzzy ART/SOM Neural Classifiers Based on Lattice Theory. Computational Intelligence Based on Lattice Theory 2007: 3-23 - [e1]Vassilis G. Kaburlasos, Gerhard X. Ritter:
Computational Intelligence Based on Lattice Theory. Studies in Computational Intelligence 67, Springer 2007, ISBN 978-3-540-72686-9 [contents] - 2006
- [j14]Vassilis G. Kaburlasos, Athanasios Kehagias:
Novel fuzzy inference system (FIS) analysis and design based on lattice theory. Part I: Working principles. Int. J. Gen. Syst. 35(1): 45-67 (2006) - [j13]Vassilis G. Kaburlasos, Stelios E. Papadakis:
Granular self-organizing map (grSOM) for structure identification. Neural Networks 19(5): 623-643 (2006) - [c15]Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos, Basil K. Papadopoulos:
An Implication in Fuzzy Sets. FUZZ-IEEE 2006: 1-6 - [c14]Ioannis N. Athanasiadis, Vassilis G. Kaburlasos:
Air Quality Assessment Using Fuzzy Lattice Reasoning (FLR). FUZZ-IEEE 2006: 29-34 - [c13]Vassilis G. Kaburlasos, Achilleas Christoforidis:
Granular Auto-regressive Moving Average (grARMA) Model for Predicting a Distribution from Other Distributions. Real-world Applications. FUZZ-IEEE 2006: 195-200 - [c12]Catherine Marinagi, Theodoros Alevizos, Vassilis G. Kaburlasos, Christos Skourlas:
Fuzzy Interval Number (FIN) Techniques for Cross Language Information Retrieval. ICEIS (2) 2006: 249-256 - 2005
- [j12]Stelios E. Papadakis, Panagiotis Tzionas, Vassilis G. Kaburlasos, John B. Theocharis:
A Genetic Based Approach to the Type I Structure Identification Problem. Informatica 16(3): 365-382 (2005) - 2004
- [j11]Vassilis G. Kaburlasos:
FINs: lattice theoretic tools for improving prediction of sugar production from populations of measurements. IEEE Trans. Syst. Man Cybern. Part B 34(2): 1017-1030 (2004) - [c11]Vassilis G. Kaburlasos, Athanasios Kehagias:
Novel analysis and design of fuzzy inference systems based on lattice theory. FUZZ-IEEE 2004: 281-286 - [c10]Vassilis G. Kaburlasos, Stylianos E. Papadakis:
grSOM: a granular extension of the self-organizing map for structure identification applications. FUZZ-IEEE 2004: 789-794 - [c9]Vassilis G. Kaburlasos, Catherine Marinagi, Vassilis Tsoukalas:
PARES: A Software Tool for Computer-Based Testing and Evaluation Used in the Greek Higher Education System. ICALT 2004 - 2003
- [j10]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) - [j9]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) - [j8]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) - [c8]Vassilis G. Kaburlasos, Stylianos E. Papadakis, Spyros Kazarlis:
A genetically optimized ensemble of is σ-FLNMAP neural classifiers based on non-parametric probability distribution functions. IJCNN 2003: 426-431 - [c7]Vassilis G. Kaburlasos:
Improved fuzzy lattice neurocomputing (FLN) for semantic neural computing. IJCNN 2003: 1850-1855 - [c6]Al Cripps, Nghiep Nguyen, Vassilis G. Kaburlasos:
Three improved fuzzy lattice neurocomputing (FLN) classifiers. IJCNN 2003: 1957-1962 - [c5]Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, Stelios E. Papadakis:
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers. MLMTA 2003: 161-166 - 2002
- [j7]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) - 2001
- [j6]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
- [j5]Vassilis G. Kaburlasos, Vassilios Petridis:
Fuzzy Lattice Neurocomputing (FLN) models. Neural Networks 13(10): 1145-1170 (2000)
1990 – 1999
- 1999
- [j4]Vassilios Petridis, Vassilis G. Kaburlasos:
Learning in the framework of fuzzy lattices. IEEE Trans. Fuzzy Syst. 7(4): 422-440 (1999) - [j3]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
- [j2]Vassilios Petridis, Vassilis G. Kaburlasos:
Fuzzy lattice neural network (FLNN): a hybrid model for learning. IEEE Trans. Neural Networks 9(5): 877-890 (1998) - [c4]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 - 1992
- [j1]Dwight D. Egbert, Philip H. Goodman, Vassilis G. Kaburlasos, John H. Witchey:
Generalization Capabilities of Subtle Image Pattern Classifiers. IEEE Trans. Knowl. Data Eng. 4(2): 172-177 (1992) - 1990
- [c3]Dwight D. Egbert, Vassilis G. Kaburlasos, Philip H. Goodman:
Neural network discrimination of subtle image patterns. IJCNN 1990: 517-524
1980 – 1989
- 1989
- [c2]Dwight D. Egbert, Vassilis G. Kaburlasos, Philip H. Goodman:
Invariant feature extraction for neurocomputer analysis of biomedical images. CBMS 1989: 69-73 - [c1]Vassilis G. Kaburlasos, Edgar C. Tacker, Dwight D. Egbert:
A plastic self-adaptive learning machine for pattern recognition. SMC 1989: 824-827
Coauthor Index
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