Panayiotis E. Pintelas

Orcid: 0000-0001-8436-2743

According to our database1, Panayiotis E. Pintelas authored at least 104 papers between 1976 and 2024.

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

Timeline

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Bibliography

2024
Mutual information-based neighbor selection method for causal effect estimation.
Neural Comput. Appl., June, 2024

Adaptive augmentation framework for domain independent few shot learning.
Knowl. Based Syst., 2024

2023
A multi-view-CNN framework for deep representation learning in image classification.
Comput. Vis. Image Underst., July, 2023

Special Issue on Machine Learning and AI for Sensors.
Sensors, March, 2023

Special Issue on Ensemble Learning and/or Explainability.
Algorithms, January, 2023

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM.
J. Imaging, 2023

Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers.
Algorithms, 2023

2022
A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index.
Evol. Syst., 2022

A 3D-CAE-CNN model for Deep Representation Learning of 3D images.
Eng. Appl. Artif. Intell., 2022

2021
A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets.
Sensors, 2021

A novel explainable image classification framework: case study on skin cancer and plant disease prediction.
Neural Comput. Appl., 2021

Smoothing and stationarity enforcement framework for deep learning time-series forecasting.
Neural Comput. Appl., 2021

Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques.
Medical Biol. Eng. Comput., 2021

On ensemble techniques of weight-constrained neural networks.
Evol. Syst., 2021

An Autoencoder Convolutional Neural Network Framework for Sarcopenia Detection Based on Multi-frame Ultrasound Image Slices.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2020
A novel validation framework to enhance deep learning models in time-series forecasting.
Neural Comput. Appl., 2020

A CNN-LSTM model for gold price time-series forecasting.
Neural Comput. Appl., 2020

An improved weight-constrained neural network training algorithm.
Neural Comput. Appl., 2020

Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction.
J. Imaging, 2020

Predicting anxiety disorders and suicide tendency using machine learning: a review.
Int. J. Medical Eng. Informatics, 2020

Forecasting stock price index movement using a constrained deep neural network training algorithm.
Intell. Decis. Technol., 2020

A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability.
Algorithms, 2020

Special Issue on Ensemble Learning and Applications.
Algorithms, 2020

Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series.
Algorithms, 2020

Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

2019
Improving the evaluation process of students' performance utilizing a decision support software.
Neural Comput. Appl., 2019

Gender Recognition by Voice using an Improved Self-Labeled Algorithm.
Mach. Learn. Knowl. Extr., 2019

An adaptive nonmonotone active set - weight constrained - neural network training algorithm.
Neurocomputing, 2019

A semi-supervised self-trained two-level algorithm for forecasting students' graduation time.
Intell. Decis. Technol., 2019

A Weighted Voting Ensemble Self-Labeled Algorithm for the Detection of Lung Abnormalities from X-Rays.
Algorithms, 2019

Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018
A descent hybrid conjugate gradient method based on the memoryless BFGS update.
Numer. Algorithms, 2018

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification.
J. Imaging, 2018

On Ensemble SSL Algorithms for Credit Scoring Problem.
Informatics, 2018

Detecting Lung Abnormalities From X-rays Using an Improved SSL Algorithm.
Proceedings of the 1st Workshop on Behavioral Change and Ambient Intelligence for Sustainability, 2018

An Auto-Adjustable Semi-Supervised Self-Training Algorithm.
Algorithms, 2018

Decision Support Software for Forecasting Patient's Length of Stay.
Algorithms, 2018

Forecasting Students' Performance Using an Ensemble SSL Algorithm.
Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2018

A review of machine learning prediction methods for anxiety disorders.
Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2018

Predicting length of stay in hospitalized patients using SSL algorithms.
Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2018

2017
A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update.
Proceedings of the 21st Pan-Hellenic Conference on Informatics, 2017

DSS-PSP - A Decision Support Software for Evaluating Students' Performance.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
A limited memory descent Perry conjugate gradient method.
Optim. Lett., 2016

2015
A modified Perry conjugate gradient method and its global convergence.
Optim. Lett., 2015

A new class of nonmonotone conjugate gradient training algorithms.
Appl. Math. Comput., 2015

Estimating student dropout in distance higher education using semi-supervised techniques.
Proceedings of the 19th Panhellenic Conference on Informatics, 2015

Predicting Student Performance in Distance Higher Education Using Semi-supervised Techniques.
Proceedings of the Model and Data Engineering - 5th International Conference, 2015

2013
A new class of spectral conjugate gradient methods based on a modified secant equation for unconstrained optimization.
J. Comput. Appl. Math., 2013

A new conjugate gradient algorithm for training neural networks based on a modified secant equation.
Appl. Math. Comput., 2013

2012
An Improved spectral conjugate Gradient Neural Network Training Algorithm.
Int. J. Artif. Intell. Tools, 2012

Globally convergent modified Perry's conjugate gradient method.
Appl. Math. Comput., 2012

2011
A practical method for solving large-scale TRS.
Optim. Lett., 2011

Intelligent Systems and Knowledge Management (Part II).
J. Comput. Methods Sci. Eng., 2011

2009
Selective costing ensemble for handling imbalanced data sets.
Int. J. Hybrid Intell. Syst., 2009

On Descent Spectral CG Algorithms for Training Recurrent Neural Networks.
Proceedings of the PCI 2009, 2009

Classification of Large Biomedical Data Using ANNs Based on BFGS Method.
Proceedings of the PCI 2009, 2009

2008
Solving the quadratic trust-region subproblem in a low-memory BFGS framework.
Optim. Methods Softw., 2008

Diplek: an open educational Platform that supports the composition of learning, management and communication services.
Proceedings of the Technological Developments in Education and Automation, 2008

2007
A Wrapper for Reweighting Training Instances for Handling Imbalanced Data Sets.
Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007

Robustness of learning techniques in handling class noise in imbalanced datasets.
Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007

2006
Local Boosting of Decision Stumps for Regression and Classification Problems.
J. Comput., 2006

Machine learning: a review of classification and combining techniques.
Artif. Intell. Rev., 2006

Local Additive Regression of Decision Stumps.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Ontology-based Learning Applications: A Development Methodology.
Proceedings of the IASTED International Conference on Software Engineering, 2006

2005
Local voting of weak classifiers.
Int. J. Knowl. Based Intell. Eng. Syst., 2005

Logitboost of Simple Bayesian Classifier.
Informatica (Slovenia), 2005

Bagging Model Trees for Classification Problems.
Proceedings of the Advances in Informatics, 2005

Modeling the Organoleptic Properties of Matured Wine Distillates.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Bagging Random Trees for Estimation of Tissue Softness.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data.
Proceedings of the Innovations in Applied Artificial Intelligence, 2005

Local Bagging of Decision Stumps.
Proceedings of the Innovations in Applied Artificial Intelligence, 2005

Predicting Students' Marks in Hellenic Open University.
Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005

2004
A decision support prototype tool for predicting student performance in an ODL environment.
Interact. Technol. Smart Educ., 2004

Predicting Students' Performance In Distance Learning Using Machine Learning Techniques.
Appl. Artif. Intell., 2004

A Cost Sensitive Technique for Ordinal Classification Problems.
Proceedings of the Methods and Applications of Artificial Intelligence, 2004

An Online Ensemble of Classifiers.
Proceedings of the Pattern Recognition in Information Systems, 2004

Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data.
Proceedings of the International Conference on Computational Intelligence, 2004

Restartings: A Technique to Improve Classic Genetic Algorithms' Performance.
Proceedings of the International Conference on Computational Intelligence, 2004

"Intuition" Operator: Providing Genomes with Reason.
Proceedings of the International Conference on Computational Intelligence, 2004

A Hybrid Decision Support Tool - Using Ensemble of Classifiers.
Proceedings of the ICEIS 2004, 2004

A Mobile Multi Agent Architecture for Web Based Learning.
Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2004

An Integrated Environment for Building Distributed Multi-agent Educational Applications.
Proceedings of the Artificial Intelligence: Methodology, 2004

Increasing the Classification Accuracy of Simple Bayesian Classifier.
Proceedings of the Artificial Intelligence: Methodology, 2004

Bagged Voting Ensembles.
Proceedings of the Artificial Intelligence: Methodology, 2004

2003
Preventing Student Dropout in Distance Learning Using Machine Learning Techniques.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002
A survey on student dropout rates and dropout causes concerning the students in the Course of Informatics of the Hellenic Open University.
Comput. Educ., 2002

2000
EIKON: Teaching a high-school technology course with the aid of virtual reality.
Educ. Inf. Technol., 2000

Design of Interactivity in Virtual Reality Applications with Emphasis on Educational Software Using Formal Interaction Specification.
Educ. Inf. Technol., 2000

1998
Comparative study and categorization of high-level petri nets.
J. Syst. Softw., 1998

1997
The Functional Architecture and Interaction Model of a GENerator of Intelligent TutORing Applications.
J. Syst. Softw., 1997

A hybrid expert system as an embedded module in tutoring systems.
Digit. Creativity, 1997

The interactive specification workspace: Specifying and designing the interaction issues of virtual reality training environments from within.
Proceedings of the Design, 1997

1996
ORIENTMAN: an intelligent tutor for the ORIENT software development methodology.
Softw. Eng. J., 1996

1994
MeT: The expert methodology tutor of GENITOR.
Microprocess. Microprogramming, 1994

1993
IDFG: An interactive applications specification model with phenomenological properties.
Microprocess. Microprogramming, 1993

Modeling and design of the multimedia subsystem of a distributed authoring environment.
Microprocess. Microprogramming, 1993

1992
A practical assessment of formal specification approaches for data abstractions.
J. Syst. Softw., 1992

1991
A comparative study of five language independent programming environments.
J. Syst. Softw., 1991

1990
An environment for teaching "program design" by exercises.
Microprocessing and Microprogramming, 1990

1989
A translator from Small Euclid to Pascal.
ACM SIGPLAN Notices, 1989

An overview of some software design languages.
J. Syst. Softw., 1989

1988
A versatile Kernel proposal for a multimicroprocessor system environment.
Microprocess. Microprogramming, 1988

1980
An ALGOL 68 Package for Implementing Graph Algorithms.
Comput. J., 1980

1976
An Algol 68R Package for Handling Sets and graphs.
PhD thesis, 1976


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