Invariant feature extraction for neurocomputer analysis of biomedical images. - Dwight D. Egbert; Vassilis G. Kaburlasos; Philip H. Goodman (CBMS, 1989)

A plastic self-adaptive learning machine for pattern recognition. - Vassilis G. Kaburlasos; Edgar C. Tacker; Dwight D. Egbert (SMC, 1989)

Neural network discrimination of subtle image patterns. - Dwight D. Egbert; Vassilis G. Kaburlasos; Philip H. Goodman (IJCNN, 1990)

Generalization Capabilities of Subtle Image Pattern Classifiers. - Dwight D. Egbert; Philip H. Goodman; Vassilis G. Kaburlasos; John H. Witchey (IEEE Trans. Knowl. Data Eng., 1992)

Learning a Linear Association of Drilling Profiles in Stapedotomy Surgery. - Vassilis G. Kaburlasos; Vassilios Petridis; Peter N. Brett; Dave A. Baker (ICRA, 1998)

Fuzzy lattice neural network (FLNN): a hybrid model for learning. - Vassilios Petridis; Vassilis G. Kaburlasos (IEEE Trans. Neural Networks, 1998)

Learning in the framework of fuzzy lattices. - Vassilios Petridis; Vassilis G. Kaburlasos (IEEE Trans. Fuzzy Syst., 1999)

Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning technique. - Vassilis G. Kaburlasos; Vassilios Petridis; Peter N. Brett; Dave A. Baker (IEEE Trans. Inf. Technol. Biomed., 1999)

Fuzzy Lattice Neurocomputing (FLN) models. - Vassilis G. Kaburlasos; Vassilios Petridis (Neural Networks, 2000)

Clustering and Classification in Structured Data Domains Using Fuzzy Lattice Neurocomputing (FLN). - Vassilios Petridis; Vassilis G. Kaburlasos (IEEE Trans. Knowl. Data Eng., 2001)

Intelligent clustering techniques for prediction of sugar production. - Vassilis G. Kaburlasos; Vasilis A. Spais; Vassilios Petridis; Loukas Petrou; Spiridon A. Kazarlis; N. Maslaris; A. Kallinakis (Math. Comput. Simul., 2002)

Three improved fuzzy lattice neurocomputing (FLN) classifiers. - Al Cripps; Nghiep Nguyen; Vassilis G. Kaburlasos (IJCNN, 2003)

Improved fuzzy lattice neurocomputing (FLN) for semantic neural computing. - Vassilis G. Kaburlasos (IJCNN, 2003)

A genetically optimized ensemble of is σ-FLNMAP neural classifiers based on non-parametric probability distribution functions. - Vassilis G. Kaburlasos; Stylianos E. Papadakis; Spyros Kazarlis (IJCNN, 2003)

Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers. - Al Cripps; Vassilis G. Kaburlasos; Nghiep Nguyen; Stelios E. Papadakis (MLMTA, 2003)

A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms. - Athanasios Kehagias; Vassilios Petridis; Vassilis G. Kaburlasos; Pavlina Fragkou (J. Intell. Inf. Syst., 2003)

FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples. - Vassilios Petridis; Vassilis G. Kaburlasos (J. Mach. Learn. Res., 2003)

ACES: an interactive software platform for self-instruction and self-evaluation in automatic control systems. - Vassilios Petridis; Spiridon A. Kazarlis; Vassilis G. Kaburlasos (IEEE Trans. Educ., 2003)

Novel analysis and design of fuzzy inference systems based on lattice theory. - Vassilis G. Kaburlasos; Athanasios Kehagias (FUZZ-IEEE, 2004)

grSOM: a granular extension of the self-organizing map for structure identification applications. - Vassilis G. Kaburlasos; Stylianos E. Papadakis (FUZZ-IEEE, 2004)

PARES: A Software Tool for Computer-Based Testing and Evaluation Used in the Greek Higher Education System. - Vassilis G. Kaburlasos; Catherine Marinagi; Vassilis Tsoukalas (ICALT, 2004)

FINs: lattice theoretic tools for improving prediction of sugar production from populations of measurements. - Vassilis G. Kaburlasos (IEEE Trans. Syst. Man Cybern. Part B, 2004)

A Genetic Based Approach to the Type I Structure Identification Problem. - Stelios E. Papadakis; Panagiotis Tzionas; Vassilis G. Kaburlasos; John B. Theocharis (Informatica, 2005)

Air Quality Assessment Using Fuzzy Lattice Reasoning (FLR). - Ioannis N. Athanasiadis; Vassilis G. Kaburlasos (FUZZ-IEEE, 2006)

An Implication in Fuzzy Sets. - Anestis G. Hatzimichailidis; Vassilis G. Kaburlasos; Basil K. Papadopoulos (FUZZ-IEEE, 2006)

Granular Auto-regressive Moving Average (grARMA) Model for Predicting a Distribution from Other Distributions. Real-world Applications. - Vassilis G. Kaburlasos; Achilleas Christoforidis (FUZZ-IEEE, 2006)

Fuzzy Interval Number (FIN) Techniques for Cross Language Information Retrieval. - Catherine Marinagi; Theodoros Alevizos; Vassilis G. Kaburlasos; Christos Skourlas (ICEIS (2), 2006)

Novel fuzzy inference system (FIS) analysis and design based on lattice theory. Part I: Working principles. - Vassilis G. Kaburlasos; Athanasios Kehagias (Int. J. Gen. Syst., 2006)

Granular self-organizing map (grSOM) for structure identification. - Vassilis G. Kaburlasos; Stelios E. Papadakis (Neural Networks, 2006)

Fuzzy Interval Number (FIN) Techniques for Multilingual and Cross Language Information Retrieval. - Theodoros Alevizos; Vassilis G. Kaburlasos; Stelios E. Papadakis; Christos Skourlas; Petros Belsis (ICEIS (2), 2007)

Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory. - Vassilis G. Kaburlasos (IWANN, 2007)

Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation. - Vassilis G. Kaburlasos; Ioannis N. Athanasiadis; Pericles A. Mitkas (Int. J. Approx. Reason., 2007)

Novel Fuzzy Inference System (FIS) Analysis and Design Based on Lattice Theory. - Vassilis G. Kaburlasos; Athanasios Kehagias (IEEE Trans. Fuzzy Syst., 2007)

Granular Enhancement of Fuzzy ART/SOM Neural Classifiers Based on Lattice Theory. - Vassilis G. Kaburlasos (Computational Intelligence Based on Lattice Theory, 2007)

Personalized multi-student improvement based on Bayesian cybernetics. - Vassilis G. Kaburlasos; Catherine Marinagi; Vassilis Tsoukalas (Comput. Educ., 2008)

Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning. - Vassilis G. Kaburlasos; Lefteris Moussiades; Athena Vakali (Neurocomputing, 2009)

A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR). - Vassilis G. Kaburlasos; Stelios E. Papadakis (Neurocomputing, 2009)

Neural/Fuzzy Computing Based on Lattice Theory. - Vassilis G. Kaburlasos (Encyclopedia of Artificial Intelligence, 2009)

Granular Fuzzy Inference System (FIS) Design by Lattice Computing. - Vassilis G. Kaburlasos (HAIS (2), 2010)

2-D Shape Representation and Recognition by Lattice Computing Techniques. - Vassilis G. Kaburlasos; Angelos Amanatiadis; Stelios E. Papadakis (HAIS (2), 2010)

Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs). - Stelios E. Papadakis; Vassilis G. Kaburlasos (Inf. Sci., 2010)

Special issue: Information engineering applications based on lattices. - Vassilis G. Kaburlasos (Inf. Sci., 2011)

Person Identification Based on Lattice Computing k-Nearest-Neighbor Fingerprint Classification. - Theodore P. Pachidis; Vassilis G. Kaburlasos (KES, 2012)

Fuzzy Lattice Reasoning (FLR) Extensions to Lattice-Valued Logic. - Vassilis G. Kaburlasos (Panhellenic Conference on Informatics, 2012)

A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems. - Anestis G. Hatzimichailidis; George A. Papakostas; Vassilis G. Kaburlasos (Int. J. Intell. Syst., 2012)

Binary Image 2D Shape Learning and Recognition Based on Lattice-Computing (LC) Techniques. - Vassilis G. Kaburlasos; Stelios E. Papadakis; Angelos Amanatiadis (J. Math. Imaging Vis., 2012)

Intervals' Numbers (INs) interpolation/extrapolation. - Vassilis G. Kaburlasos; George A. Papakostas; Theodore P. Pachidis; Alex Athinellis (FUZZ-IEEE, 2013)

Thermal infrared face recognition based on lattice computing (LC) techniques. - George A. Papakostas; Vassilis G. Kaburlasos; Theodore P. Pachidis (FUZZ-IEEE, 2013)

A granular, parametric KNN classifier. - Vassilis Tsoukalas; Vassilis G. Kaburlasos; Christos Skourlas (Panhellenic Conference on Informatics, 2013)

Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view. - George A. Papakostas; Anestis G. Hatzimichailidis; Vassilis G. Kaburlasos (Pattern Recognit. Lett., 2013)

Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition. - Vassilis G. Kaburlasos; Stelios E. Papadakis; George A. Papakostas (IEEE Trans. Neural Networks Learn. Syst., 2013)

FCknn: A granular knn classifier based on formal concepts. - Vassilis G. Kaburlasos; Vassilis Tsoukalas; Lefteris Moussiades (FUZZ-IEEE, 2014)

Lattice computing (LC) meta-representation for pattern classification. - George A. Papakostas; Vassilis G. Kaburlasos (FUZZ-IEEE, 2014)

A proposal of Texture Features for interactive CTA Segmentation by Active Learning. - Josu Maiora; George A. Papakostas; Vassilis G. Kaburlasos; Manuel Graña (InMed, 2014)

gsaINknn: A GSA optimized, lattice computing knn classifier. - Yazdan Jamshidi; Vassilis G. Kaburlasos (Eng. Appl. Artif. Intell., 2014)

A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application. - Vassilis G. Kaburlasos; Theodore P. Pachidis (Inf. Fusion, 2014)

Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition. - Stelios E. Papadakis; Vassilis G. Kaburlasos; George A. Papakostas (J. Multiple Valued Log. Soft Comput., 2014)

Fuzzy Inference System (FIS) Extensions Based on the Lattice Theory. - Vassilis G. Kaburlasos; Athanasios Kehagias (IEEE Trans. Fuzzy Syst., 2014)

Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition. - George A. Papakostas; Elpiniki I. Papageorgiou; Vassilis G. Kaburlasos (FUZZ-IEEE, 2015)

Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications. - Vassilis G. Kaburlasos; George A. Papakostas (IEEE Comput. Intell. Mag., 2015)

A lattice computing approach to Alzheimer's disease computer assisted diagnosis based on MRI data. - George A. Papakostas; Alexandre Savio; Manuel Graña; Vassilis G. Kaburlasos (Neurocomputing, 2015)

Interactive social robots in special education. - Angelos Amanatiadis; Vassilis G. Kaburlasos; Christina Dardani; Savvas A. Chatzichristofis (ICCE-Berlin, 2017)

Modeling in Cyber-Physical Systems by Lattice Computing Techniques: The Case of Image Watermarking Based on Intervals' Numbers. - George A. Papakostas; Vassilis G. Kaburlasos (FUZZ-IEEE, 2018)

Multi-robot engagement in special education: A preliminary study in autism. - Vassilis G. Kaburlasos; Christina Dardani; Maya Dimitrova; Angelos Amanatiadis (ICCE, 2018)

Interpolation Kernels in Fully Convolutional Networks and their Effect in Robot Vision Tasks. - Angelos Amanatiadis; Vasileios G. Kaburlasos; Elias B. Kosmatopoulos (IST, 2018)

Understanding Deep Convolutional Networks through Gestalt Theory. - Angelos Amanatiadis; Vasileios G. Kaburlasos; Elias B. Kosmatopoulos (IST, 2018)

Identifying Needs of Robotic and Technological Solutions for the Classroom. - 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; et al. (SoftCOM, 2018)

Social Engagement Interaction Games Between Children with Autism and Humanoid Robot NAO. - Chris Lytridis; Eleni Vrochidou; Stamatis Chatzistamatis; Vassilis G. Kaburlasos (SOCO-CISIS-ICEUTE, 2018)

Time Series Classification in Cyber-Physical System Applications by Intervals' Numbers Techniques. - Vassilis G. Kaburlasos; Eleni Vrochidou; Fotios Panagiotopoulos; Charalampos AN. itsidis; Alexander Jaki (FUZZ-IEEE, 2019)

Audio Signal Recognition Based on Intervals' Numbers (INs) Classification Techniques. - Chris Lytridis; Eleni Vrochidou; George K. Sidiropoulos; George A. Papakostas; Vassilis G. Kaburlasos; Efi Kourampa; Elpida Karageorgiou (IISA, 2019)

On Measuring Engagement Level During Child-Robot Interaction in Education. - Chris Lytridis; Christos Bazinas; George A. Papakostas; Vassilis G. Kaburlasos (RiE, 2019)

Toward Robot-Assisted Psychosocial Intervention for Children with Autism Spectrum Disorder (ASD). - Vasiliki Holeva; Vasiliki-Aliki Nikopoulou; Maria Papadopoulou 004; Eleni Vrochidou; George A. Papakostas; Vassilis G. Kaburlasos (ICSR, 2019)

Social Robots as Cyber-Physical Actors in Entertainment and Education. - Chris Lytridis; Christos Bazinas; Vassilis G. Kaburlasos; Violina Vassileva-Aleksandrova; Mohamed Youssfi; Mohammed Mestari; Vassilios Ferelis; Alexander Jaki (SoftCOM, 2019)

A Decision Making Approach with Linguistic Weight and Unavoidable Incomparable Ranking. - Yunxia Zhang; Degen Huang; Wei Gao; Vassilis G. Kaburlasos (Int. J. Comput. Intell. Syst., 2019)

Machine Vision Systems in Precision Agriculture for Crop Farming. - Efthimia Mavridou; Eleni Vrochidou; George A. Papakostas; Theodore P. Pachidis; Vassilis G. Kaburlasos (J. Imaging, 2019)

The Lattice Computing (LC) Paradigm. - Vassilis G. Kaburlasos (CLA, 2020)

Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks. - Theofanis Kalampokas; Konstantinos Tziridis; Alexandros Nikolaou; Eleni Vrochidou; George A. Papakostas; Theodore P. Pachidis; Vassilis G. Kaburlasos (EANN, 2020)

Identifying the Technological Needs for Developing a Grapes Harvesting Robot: Operations and Systems. - 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 (HAICTA, 2020)

Real-time vineyard trunk detection for a grapes harvesting robot via deep learning. - Eleni Vrochidou; George A. Papakostas; Vassilis G. Kaburlasos (ICMV, 2020)

Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques. - 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; et al. (IJCNN, 2020)

Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing. - Eftichia Badeka; Eleni Vrochidou; Konstantinos Tziridis; Alexander Nicolaou; George A. Papakostas; Theodore P. Pachidis; Vassilis G. Kaburlasos (IEEE Conf. on Intelligent Systems, 2020)

Teaching Daily Life Skills in Autism Spectrum Disorder (ASD) Interventions Using the Social Robot Pepper. - Rafaela Efstratiou; Charalambos Karatsioras; Maria Papadopoulou 004; Cristina I. Papadopoulou; Chris Lytridis; Christos Bazinas; George A. Papakostas; Vassilis G. Kaburlasos (RiE, 2020)

Synergy of Intelligent Algorithms for Efficient Child-Robot Interaction in Special Education: A Feasibility Study. - George K. Sidiropoulos; Christos Bazinas; Chris Lytridis; George A. Papakostas; Vassilis G. Kaburlasos; Petros Kechayas; Efi Kourampa; Sotirianna Rafaela Katsi; Charalambos Karatsioras (RiE, 2020)

Head Pose Estimation Using Lattice Computing Techniques. - Vassilis G. Kaburlasos; Chris Lytridis; Christos Bazinas; Stamatis Chatzistamatis; Kalliopi Sotiropoulou; Aouatif Najoua; Mohamed Youssfi; Omar Bouattane (SoftCOM, 2020)

Robot-Assisted Autism Spectrum Disorder (ASD) Interventions: A Multi-Robot Approach. - Chris Lytridis; Cristina I. Papadopoulou; George A. Papakostas; Vassilis G. Kaburlasos; Vasiliki-Aliki Nikopoulou; Maria Dialechti Kerasidou; Nikolaos Dalivigkas (SoftCOM, 2020)

Forward Kinematic Analysis of JACO2 Robotic Arm Towards Implementing a Grapes Harvesting Robot. - Theodore P. Pachidis; Christos Sgouros; Vassilis G. Kaburlasos; Eleni Vrochidou; Theofanis Kalampokas; Konstantinos Tziridis; Alexandros Nikolaou; George A. Papakostas (SoftCOM, 2020)

Social Robots in Special Education: Creating Dynamic Interactions for Optimal Experience. - Angelos Amanatiadis; Vasileios G. Kaburlasos; Christina Dardani; Savvas A. Chatzichristofis; Athanasios C. Mitropoulos (IEEE Consumer Electron. Mag., 2020)

Yield Estimation in Vineyards Using Intervals' Numbers Techniques. - Christos Bazinas; Eleni Vrochidou; Chris Lytridis; Vassilis G. Kaburlasos (PCI, 2021)

Development of Educational Scenarios for Child-Robot Interaction: The Case of Learning Disabilities. - Elpida Karageorgiou; Efrosyni Kourampa; Athanasia-Tania Papanikolaou; Petros Kechayas; Eleftheria Avramidou; Rafailia-Androniki Sabri; Chris Lytridis; George A. Papakostas; Vassilis G. Kaburlasos (RiE, 2021)

A Study on Text Classification for Applications in Special Education. - Lemonia C. Karathanasi; Christos Bazinas; Grigorios Iordanou; Vassilis G. Kaburlasos (SoftCOM, 2021)

A Software Toolbox for Behavioral Analysis in Robot-Assisted Special Education. - Chris Lytridis; Vassilis G. Kaburlasos; Christos Bazinas; George A. Papakostas; Christina I. Papadopoulou; Vasiliki-Aliki Nikopoulou (SoftCOM, 2021)

Grape stem detection using regression convolutional neural networks. - Theofanis Kalampokas; Eleni Vrochidou; George A. Papakostas; Theodore P. Pachidis; Vassilis G. Kaburlasos (Comput. Electron. Agric., 2021)

Considerations for a Multi-purpose Agrobot Design Toward Automating Skillful Viticultural Tasks: A Study in Northern Greece Vineyards. - Eleni Vrochidou; Christos Bazinas; Efthimia Mavridou; Theodore P. Pachidis; Spyridon Mamalis; Stefanos Koundouras; Theodoros Gkrimpizis; Vassilis G. Kaburlasos (HAICTA, 2022)

Agricultural Yield Prediction by Difference Equations on Data-Induced Cumulative Possibility Distributions. - Vassilis G. Kaburlasos; Christos Bazinas; Eleni Vrochidou; Eleftherios Karapatzak (NAFIPS, 2022)

Variable Selection for the Prediction of TSS, pH and TA of Intact Berries of Thompson Seedless Grapes from their NIS Reflection. - Chrysanthi Chariskou; Christos Bazinas; Andries J. Daniels; Umezuruike L. Opara; Hélène H. Nieuwoudt; Vassilis G. Kaburlasos (SoftCOM, 2022)

Grapevine Plant Image Dataset for Pruning. - Kyriakos D. Apostolidis; Theofanis Kalampokas; Theodore P. Pachidis; Vassilis G. Kaburlasos (Data, 2022)

Towards Robot-Assisted Therapy for Children With Autism - The Ontological Knowledge Models and Reinforcement Learning-Based Algorithms. - Intissar Salhi; Mohammed Qbadou; Soukaina Gouraguine; Khalifa Mansouri; Chris Lytridis; Vassilis G. Kaburlasos (Frontiers Robotics AI, 2022)

Coordinated Navigation of Two Agricultural Robots in a Vineyard: A Simulation Study. - Chris Lytridis; Christos Bazinas; Theodore P. Pachidis; Vassilios Chatzis; Vassilis G. Kaburlasos (Sensors, 2022)

Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques. - Chris Lytridis; Vassilis G. Kaburlasos; Christos Bazinas; George A. Papakostas; George K. Sidiropoulos; Vasiliki-Aliki Nikopoulou; Vasiliki Holeva; Maria Papadopoulou 004; Athanasios Evangeliou (Sensors, 2022)

Meta-Statistical Deep Learning for Stochastic Time-Series Prediction in Agricultural Applications. - Christos Bazinas; Chris Lytridis; Vassilis G. Kaburlasos (INNS DLIA@IJCNN, 2023)

Editorial: Emerging technologies for assistive robotics: current challenges and perspectives. - Lyuba Alboul; Maya Dimitrova; Anna K. Lekova; Vassilis G. Kaburlasos; Peter Mitrouchev (Frontiers Robotics AI, 2023)

Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots. - Chris Lytridis; Christos Bazinas; Ioannis Kalathas; George Siavalas; Christos Tsakmakis; Theodoros Spirantis; Eftichia Badeka; Theodore P. Pachidis; Vassilis G. Kaburlasos (Robotics, 2023)

A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7. - Eftichia Badeka; Eleftherios Karapatzak; Aikaterini Karampatea; Elizabeth Bouloumpasi; Ioannis Kalathas; Chris Lytridis; Emmanouil Tziolas; Nikoleta-Victoria Tsakalidou; Vassilis G. Kaburlasos (Sensors, 2023)