Vassilis G. Kaburlasos

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 39

Top Topics

Special Education

Top Venues

Publications

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)
Christos Bazinas, Chris Lytridis, Vassilis G. Kaburlasos
Meta-Statistical Deep Learning for Stochastic Time-Series Prediction in Agricultural Applications. INNS DLIA@IJCNN (2023)
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) (2023)
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) (2023)
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) (2022)
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 (2022)
Vassilis G. Kaburlasos, Christos Bazinas, Eleni Vrochidou, Eleftherios Karapatzak
Agricultural Yield Prediction by Difference Equations on Data-Induced Cumulative Possibility Distributions. NAFIPS (2022)
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)
Kyriakos D. Apostolidis, Theofanis Kalampokas, Theodore P. Pachidis, Vassilis G. Kaburlasos
Grapevine Plant Image Dataset for Pruning. Data 7 (8) (2022)
Chris Lytridis, Vassilis G. Kaburlasos, Christos Bazinas, George A. Papakostas, George K. Sidiropoulos, Vasiliki-Aliki Nikopoulou, Vasiliki Holeva, Maria I. Papadopoulou, Athanasios Evangeliou
Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques. Sensors 22 (2) (2022)
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)
Lemonia C. Karathanasi, Christos Bazinas, Grigorios Iordanou, Vassilis G. Kaburlasos
A Study on Text Classification for Applications in Special Education. SoftCOM (2021)
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)
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)
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 (2021)
Christos Bazinas, Eleni Vrochidou, Chris Lytridis, Vassilis G. Kaburlasos
Yield Estimation in Vineyards Using Intervals' Numbers Techniques. PCI (2021)
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)
Vassilis G. Kaburlasos
The Lattice Computing (LC) Paradigm. CLA (2020)
Eleni Vrochidou, George A. Papakostas, Vassilis G. Kaburlasos
Real-time vineyard trunk detection for a grapes harvesting robot via deep learning. ICMV (2020)
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)
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)
Rafaela Efstratiou, Charalambos Karatsioras, Maria I. 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)
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)
Vassilis G. Kaburlasos, Eleni Vrochidou, Chris Lytridis, George A. Papakostas, Theodore P. Pachidis, Michail Manios, Spyridon Mamalis, Theodora Merou, Stefanos Koundouras, Serafeim Theocharis, G. Siavalas, Christos Sgouros, P. Kyriakidis
Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques. IJCNN (2020)
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)
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)
Theodore P. Pachidis, Christos Sgouros, Vassilis G. Kaburlasos, Eleni Vrochidou, Theofanis Kalampokas, Konstantinos Tziridis, Alexandros Nikolaou, George A. Papakostas
Robotic Arm Towards Implementing a Grapes Harvesting Robot. SoftCOM (2020)
Chris Lytridis, Christos Bazinas, George A. Papakostas, Vassilis G. Kaburlasos
On Measuring Engagement Level During Child-Robot Interaction in Education. RiE (2019)
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) (2019)
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) (2019)
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)
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)
Vasiliki Holeva, Vasiliki-Aliki Nikopoulou, Maria I. Papadopoulou, Eleni Vrochidou, George A. Papakostas, Vassilis G. Kaburlasos
Toward Robot-Assisted Psychosocial Intervention for Children with Autism Spectrum Disorder (ASD). ICSR (2019)
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)
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)
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)
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)
Vassilis G. Kaburlasos, Christina Dardani, Maya Dimitrova, Angelos Amanatiadis
Multi-robot engagement in special education: A preliminary study in autism. ICCE (2018)
Angelos Amanatiadis, Vassilis G. Kaburlasos, Christina Dardani, Savvas A. Chatzichristofis
Interactive social robots in special education. ICCE-Berlin (2017)
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) (2015)
George A. Papakostas, Elpiniki I. Papageorgiou, Vassilis G. Kaburlasos
Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition. FUZZ-IEEE (2015)
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 (2015)
Vassilis G. Kaburlasos, Athanasios Kehagias
Fuzzy Inference System (FIS) Extensions Based on the Lattice Theory. IEEE Trans. Fuzzy Syst. 22 (3) (2014)
Vassilis G. Kaburlasos, Vassilis Tsoukalas, Lefteris Moussiades
FCknn: A granular knn classifier based on formal concepts. FUZZ-IEEE (2014)
Yazdan Jamshidi, Vassilis G. Kaburlasos
gsaINknn: A GSA optimized, lattice computing knn classifier. Eng. Appl. Artif. Intell. 35 (2014)
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) (2014)
Josu Maiora, George A. Papakostas, Vassilis G. Kaburlasos, Manuel Graña
A proposal of Texture Features for interactive CTA Segmentation by Active Learning. InMed (2014)
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 (2014)
George A. Papakostas, Vassilis G. Kaburlasos
Lattice computing (LC) meta-representation for pattern classification. FUZZ-IEEE (2014)
George A. Papakostas, Vassilis G. Kaburlasos, Theodore P. Pachidis
Thermal infrared face recognition based on lattice computing (LC) techniques. FUZZ-IEEE (2013)
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) (2013)
Vassilis G. Kaburlasos, George A. Papakostas, Theodore P. Pachidis, Alex Athinellis
Intervals' Numbers (INs) interpolation/extrapolation. FUZZ-IEEE (2013)
Vassilis Tsoukalas, Vassilis G. Kaburlasos, Christos Skourlas
A granular, parametric KNN classifier. Panhellenic Conference on Informatics (2013)
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) (2013)
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) (2012)
Vassilis G. Kaburlasos
Fuzzy Lattice Reasoning (FLR) Extensions to Lattice-Valued Logic. Panhellenic Conference on Informatics (2012)
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) (2012)
Theodore P. Pachidis, Vassilis G. Kaburlasos
Person Identification Based on Lattice Computing k-Nearest-Neighbor Fingerprint Classification. KES (2012)
Vassilis G. Kaburlasos
Special issue: Information engineering applications based on lattices. Inf. Sci. 181 (10) (2011)
Vassilis G. Kaburlasos
Granular Fuzzy Inference System (FIS) Design by Lattice Computing. HAIS (2) (2010)
Vassilis G. Kaburlasos, Angelos Amanatiadis, Stelios E. Papadakis
2-D Shape Representation and Recognition by Lattice Computing Techniques. HAIS (2) (2010)
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) (2010)
Vassilis G. Kaburlasos, Lefteris Moussiades, Athena Vakali
Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning. Neurocomputing 72 (10-12) (2009)
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) (2009)
Vassilis G. Kaburlasos, Catherine Marinagi, Vassilis Tsoukalas
Personalized multi-student improvement based on Bayesian cybernetics. Comput. Educ. 51 (4) (2008)
Vassilis G. Kaburlasos
Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory. IWANN (2007)
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)
Vassilis G. Kaburlasos, Athanasios Kehagias
Novel Fuzzy Inference System (FIS) Analysis and Design Based on Lattice Theory. IEEE Trans. Fuzzy Syst. 15 (2) (2007)
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) (2007)
Ioannis N. Athanasiadis, Vassilis G. Kaburlasos
Air Quality Assessment Using Fuzzy Lattice Reasoning (FLR). FUZZ-IEEE (2006)
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)
Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos, Basil K. Papadopoulos
An Implication in Fuzzy Sets. FUZZ-IEEE (2006)
Catherine Marinagi, Theodoros Alevizos, Vassilis G. Kaburlasos, Christos Skourlas
Fuzzy Interval Number (FIN) Techniques for Cross Language Information Retrieval. ICEIS (2) (2006)
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) (2006)
Vassilis G. Kaburlasos, Stelios E. Papadakis
Granular self-organizing map (grSOM) for structure identification. Neural Networks 19 (5) (2006)
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) (2005)
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) (2004)
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)
Vassilis G. Kaburlasos, Athanasios Kehagias
Novel analysis and design of fuzzy inference systems based on lattice theory. FUZZ-IEEE (2004)
Vassilis G. Kaburlasos, Stylianos E. Papadakis
grSOM: a granular extension of the self-organizing map for structure identification applications. FUZZ-IEEE (2004)
Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, Stelios E. Papadakis
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers. MLMTA (2003)
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) (2003)
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 (2003)
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) (2003)
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) (2002)
Vassilios Petridis, Vassilis G. Kaburlasos
Clustering and Classification in Structured Data Domains Using Fuzzy Lattice Neurocomputing (FLN). IEEE Trans. Knowl. Data Eng. 13 (2) (2001)
Vassilis G. Kaburlasos, Vassilios Petridis
Fuzzy Lattice Neurocomputing (FLN) models. Neural Networks 13 (10) (2000)
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) (1999)
Vassilios Petridis, Vassilis G. Kaburlasos
Learning in the framework of fuzzy lattices. IEEE Trans. Fuzzy Syst. 7 (4) (1999)
Vassilis G. Kaburlasos, Vassilios Petridis, Peter N. Brett, Dave A. Baker
Learning a Linear Association of Drilling Profiles in Stapedotomy Surgery. ICRA (1998)
Vassilios Petridis, Vassilis G. Kaburlasos
Fuzzy lattice neural network (FLNN): a hybrid model for learning. IEEE Trans. Neural Networks 9 (5) (1998)
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) (1992)
Dwight D. Egbert, Vassilis G. Kaburlasos, Philip H. Goodman
Neural network discrimination of subtle image patterns. IJCNN (1990)
Dwight D. Egbert, Vassilis G. Kaburlasos, Philip H. Goodman
Invariant feature extraction for neurocomputer analysis of biomedical images. CBMS (1989)
Vassilis G. Kaburlasos, Edgar C. Tacker, Dwight D. Egbert
A plastic self-adaptive learning machine for pattern recognition. SMC (1989)