Vassilis G. Kaburlasos

According to our database1, Vassilis G. Kaburlasos authored at least 78 papers between 1989 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Social Robots in Special Education: Creating Dynamic Interactions for Optimal Experience.
IEEE Consumer Electron. Mag., 2020

Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing.
Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Identifying the Technological Needs for Developing a Grapes Harvesting Robot: Operations and Systems.
Proceedings of the 9th International Conference on Information and Communication Technologies in Agriculture, 2020

Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

The Lattice Computing (LC) Paradigm.
Proceedings of the Fifthteenth International Conference on Concept Lattices and Their Applications, 2020

2019
Machine Vision Systems in Precision Agriculture for Crop Farming.
J. Imaging, 2019

A Decision Making Approach with Linguistic Weight and Unavoidable Incomparable Ranking.
Int. J. Comput. Intell. Syst., 2019

Social Robots as Cyber-Physical Actors in Entertainment and Education.
Proceedings of the 2019 International Conference on Software, 2019

Toward Robot-Assisted Psychosocial Intervention for Children with Autism Spectrum Disorder (ASD).
Proceedings of the Social Robotics - 11th International Conference, 2019

On Measuring Engagement Level During Child-Robot Interaction in Education.
Proceedings of the Robotics in Education, 2019

Audio Signal Recognition Based on Intervals' Numbers (INs) Classification Techniques.
Proceedings of the 10th International Conference on Information, 2019

Time Series Classification in Cyber-Physical System Applications by Intervals' Numbers Techniques.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
Social Engagement Interaction Games Between Children with Autism and Humanoid Robot NAO.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Identifying Needs of Robotic and Technological Solutions for the Classroom.
Proceedings of the 26th International Conference on Software, 2018

Understanding Deep Convolutional Networks through Gestalt Theory.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

Interpolation Kernels in Fully Convolutional Networks and their Effect in Robot Vision Tasks.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

Multi-robot engagement in special education: A preliminary study in autism.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

Modeling in Cyber-Physical Systems by Lattice Computing Techniques: The Case of Image Watermarking Based on Intervals' Numbers.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Interactive social robots in special education.
Proceedings of the 7th IEEE International Conference on Consumer Electronics - Berlin, 2017

2015
A lattice computing approach to Alzheimer's disease computer assisted diagnosis based on MRI data.
Neurocomputing, 2015

Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications.
IEEE Comput. Intell. Mag., 2015

Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
Fuzzy Inference System (FIS) Extensions Based on the Lattice Theory.
IEEE Trans. Fuzzy Syst., 2014

Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition.
J. Multiple Valued Log. Soft Comput., 2014

A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application.
Inf. Fusion, 2014

gsaINknn: A GSA optimized, lattice computing knn classifier.
Eng. Appl. Artif. Intell., 2014

A proposal of Texture Features for interactive CTA Segmentation by Active Learning.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Lattice computing (LC) meta-representation for pattern classification.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

FCknn: A granular knn classifier based on formal concepts.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2013

Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view.
Pattern Recognit. Lett., 2013

A granular, parametric KNN classifier.
Proceedings of the 17th Panhellenic Conference on Informatics, 2013

Thermal infrared face recognition based on lattice computing (LC) techniques.
Proceedings of the FUZZ-IEEE 2013, 2013

Intervals' Numbers (INs) interpolation/extrapolation.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Binary Image 2D Shape Learning and Recognition Based on Lattice-Computing (LC) Techniques.
J. Math. Imaging Vis., 2012

A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems.
Int. J. Intell. Syst., 2012

Fuzzy Lattice Reasoning (FLR) Extensions to Lattice-Valued Logic.
Proceedings of the 16th Panhellenic Conference on Informatics, PCI 2012, 2012

Person Identification Based on Lattice Computing k-Nearest-Neighbor Fingerprint Classification.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

2011
Special issue: Information engineering applications based on lattices.
Inf. Sci., 2011

2010
Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs).
Inf. Sci., 2010

2-D Shape Representation and Recognition by Lattice Computing Techniques.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Granular Fuzzy Inference System (FIS) Design by Lattice Computing.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
Neural/Fuzzy Computing Based on Lattice Theory.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR).
Neurocomputing, 2009

Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning.
Neurocomputing, 2009

2008
Personalized multi-student improvement based on Bayesian cybernetics.
Comput. Educ., 2008

2007
Granular Enhancement of Fuzzy ART/SOM Neural Classifiers Based on Lattice Theory.
Proceedings of the Computational Intelligence Based on Lattice Theory, 2007

Novel Fuzzy Inference System (FIS) Analysis and Design Based on Lattice Theory.
IEEE Trans. Fuzzy Syst., 2007

Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation.
Int. J. Approx. Reason., 2007

Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory.
Proceedings of the Computational and Ambient Intelligence, 2007

Fuzzy Interval Number (FIN) Techniques for Multilingual and Cross Language Information Retrieval.
Proceedings of the ICEIS 2007, 2007

2006
Granular self-organizing map (grSOM) for structure identification.
Neural Networks, 2006

Novel fuzzy inference system (FIS) analysis and design based on lattice theory. Part I: Working principles.
Int. J. Gen. Syst., 2006

Fuzzy Interval Number (FIN) Techniques for Cross Language Information Retrieval.
Proceedings of the ICEIS 2006, 2006

Granular Auto-regressive Moving Average (grARMA) Model for Predicting a Distribution from Other Distributions. Real-world Applications.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

An Implication in Fuzzy Sets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Air Quality Assessment Using Fuzzy Lattice Reasoning (FLR).
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
A Genetic Based Approach to the Type I Structure Identification Problem.
Informatica, 2005

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

PARES: A Software Tool for Computer-Based Testing and Evaluation Used in the Greek Higher Education System.
Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2004

grSOM: a granular extension of the self-organizing map for structure identification applications.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Novel analysis and design of fuzzy inference systems based on lattice theory.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
ACES: an interactive software platform for self-instruction and self-evaluation in automatic control systems.
IEEE Trans. Educ., 2003

FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples.
J. Mach. Learn. Res., 2003

A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms.
J. Intell. Inf. Syst., 2003

Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers.
Proceedings of the International Conference on Machine Learning; Models, Technologies and Applications. MLMTA'03, June 23, 2003

2002
Intelligent clustering techniques for prediction of sugar production.
Math. Comput. Simul., 2002

2001
Clustering and Classification in Structured Data Domains Using Fuzzy Lattice Neurocomputing (FLN).
IEEE Trans. Knowl. Data Eng., 2001

2000
Fuzzy Lattice Neurocomputing (FLN) models.
Neural Networks, 2000

1999
Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning technique.
IEEE Trans. Inf. Technol. Biomed., 1999

Learning in the framework of fuzzy lattices.
IEEE Trans. Fuzzy Syst., 1999

1998
Fuzzy lattice neural network (FLNN): a hybrid model for learning.
IEEE Trans. Neural Networks, 1998

Learning a Linear Association of Drilling Profiles in Stapedotomy Surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 1998

1992
Generalization Capabilities of Subtle Image Pattern Classifiers.
IEEE Trans. Knowl. Data Eng., 1992

1990
Neural network discrimination of subtle image patterns.
Proceedings of the IJCNN 1990, 1990

1989
A plastic self-adaptive learning machine for pattern recognition.
Proceedings of the IEEE International Conference on Systems, 1989

Invariant feature extraction for neurocomputer analysis of biomedical images.
Proceedings of the Second Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'89), 1989


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