Panayiotis E. Pintelas

发表

Local Additive Regression of Decision Stumps

Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas, 2006, SETN.

tutoring aspects of Distance Learning Systems

Panayiotis E. Pintelas, Christos Pierrakeas, Michalis Xenos, 2003 .

Dimitris Kanellopoulos, Panayiotis E. Pintelas, Sotiris Kotsiantis, 2006 .

"Intuition" Operator: Providing Genomes with Reason

Panayiotis E. Pintelas, Grigorios N. Beligiannis, Georgios A. Tsirogiannis, 2007, International Conference on Computational Intelligence.

The interactive specification workspace: Specifying and designing the interaction issues of virtual reality training environments from within

Panayiotis E. Pintelas, Achilles Kameas, Costas N. Diplas, 1997, DSV-IS.

Combining Bagging and Boosting

Panayiotis E. Pintelas, Sotiris Kotsiantis, S. Kotsiantis, 2007 .

Machine learning: a review of classification and combining techniques

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, Ioannis D. Zaharakis, 2006, Artificial Intelligence Review.

A Fast Ensemble of Regressors

Panayiotis E. Pintelas, Sotiris Kotsiantis, M. Karagiannopoulos, 2007 .

A practical method for solving large-scale TRS

Panayiotis E. Pintelas, D. G. Sotiropoulos, M. S. Apostolopoulou, 2011, Optim. Lett..

Increasing the Classification Accuracy of Simple Bayesian Classifier

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, S. Kotsiantis, 2004, AIMSA.

Intelligent Systems and Knowledge Management (Part II)

Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas, 2011, J. Comput. Methods Sci. Eng..

A review of machine learning prediction methods for anxiety disorders

Panayiotis E. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, 2018, DSAI.

Local Boosting of Decision Stumps for Regression and Classification Problems

Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas, 2006, J. Comput..

A comparative study of five language independent programming environments

Panayiotis E. Pintelas, Spyros Tragoudas, 1991, J. Syst. Softw..

ON THE SELECTION OF CLASSIFIER-SPECIFIC FEATURE SELECTION ALGORITHMS

Panayiotis E. Pintelas, Sotiris Kotsiantis, S. Kotsiantis, 2004 .

A hybrid expert system as an embedded module in tutoring systems

Panayiotis E. Pintelas, Achilles Kameas, Ioannis D. Zaharakis, 1997, Digit. Creativity.

A new conjugate gradient algorithm for training neural networks based on a modified secant equation

Panayiotis E. Pintelas, Ioannis E. Livieris, P. Pintelas, 2013, Appl. Math. Comput..

The Functional Architecture and Interaction Model of a GENerator of Intelligent TutORing Applications

Panayiotis E. Pintelas, Achilles Kameas, 1997, J. Syst. Softw..

On Ensemble SSL Algorithms for Credit Scoring Problem

Panayiotis E. Pintelas, Andreas Kanavos, Ioannis E. Livieris, 2018, Informatics.

A descent hybrid conjugate gradient method based on the memoryless BFGS update

Panayiotis E. Pintelas, Ioannis E. Livieris, Vassilis Tampakas, 2018, Numerical Algorithms.

A semi-supervised self-trained two-level algorithm for forecasting students' graduation time

Panayiotis E. Pintelas, Nikos Karacapilidis, Ioannis E. Livieris, 2019, Intell. Decis. Technol..

Bagging Model Trees for Classification Problems

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2005, Panhellenic Conference on Informatics.

Detecting Lung Abnormalities From X-rays Using an Improved SSL Algorithm

Panayiotis E. Pintelas, Andreas Kanavos, Ioannis E. Livieris, 2019, BRAINS/WS-AFFIN@AmI.

A new class of spectral conjugate gradient methods based on a modified secant equation for unconstrained optimization

Panayiotis E. Pintelas, Ioannis E. Livieris, 2013, J. Comput. Appl. Math..

A mobile multi agent architecture for Web based learning

Panayiotis E. Pintelas, Anastasios Triantis, 2004, IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings..

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification

Panayiotis E. Pintelas, Andreas Kanavos, Ioannis E. Livieris, 2018, J. Imaging.

Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2007, International Conference on Computational Intelligence.

Predicting students marks in Hellenic Open University

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, S. Kotsiantis, 2005, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05).

MeT: The expert methodology tutor of GENITOR

Panayiotis E. Pintelas, Achilles Kameas, Ioannis D. Zaharakis, 1994, Microprocess. Microprogramming.

Logitboost of Simple Bayesian Classifier

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, S. Kotsiantis, 2005, Informatica.

Diplek: an open educational Platform that supports the composition of learning, management and communication services

Panayiotis E. Pintelas, Achilles Kameas, Christos T. Rodosthenous, 2008, EIAT/IETA.

Classification of Large Biomedical Data Using ANNs Based on BFGS Method

Panayiotis E. Pintelas, Spyros Sioutas, Ioannis E. Livieris, 2009, 2009 13th Panhellenic Conference on Informatics.

A Hybrid Decision Support Tool - Using Ensemble of Classifiers

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, S. Kotsiantis, 2004, ICEIS.

A decision support prototype tool for predicting student performance in an ODL environment

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, S. Kotsiantis, 2004, Interact. Technol. Smart Educ..

Globally convergent modified Perry's conjugate gradient method

Panayiotis E. Pintelas, Ioannis E. Livieris, P. Pintelas, 2012, Appl. Math. Comput..

An Algol 68R Package for Handling Sets and graphs

Panayiotis E. Pintelas, 1976 .

Restartings: A Technique to Improve Classic Genetic Algorithms' Performance

Panayiotis E. Pintelas, Grigorios N. Beligiannis, Georgios A. Tsirogiannis, 2007, International Conference on Computational Intelligence.

Local voting of weak classifiers

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, S. Kotsiantis, 2005, Int. J. Knowl. Based Intell. Eng. Syst..

Special Issue on Ensemble Learning and Applications

Panayiotis E. Pintelas, Ioannis E. Livieris, P. Pintelas, 2020, Algorithms.

Diplek: An Open LMS that Supports Fast Composition of Educational Services

Panayiotis E. Pintelas, Achilles Kameas, Christos Rodosthenous, 2011 .

An ALGOL 68 Package for Implementing Graph Algorithms

Panayiotis E. Pintelas, G. R. Garside, 1980, Comput. J..

Predicting length of stay in hospitalized patients using SSL algorithms

Panayiotis E. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, 2018, DSAI.

Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method

Panayiotis E. Pintelas, Andreas Kanavos, Ioannis E. Livieris, 2019, AIAI.

EIKON: Teaching a high-school technology course with the aid of virtual reality

Panayiotis E. Pintelas, Tassos A. Mikropoulos, Achilles Kameas, 2004, Education and Information Technologies.

A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update

Panayiotis E. Pintelas, Ioannis E. Livieris, Stamatis Karlos, 2017, PCI.

A Wrapper for Reweighting Training Instances for Handling Imbalanced Data Sets

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, M. Karagiannopoulos, 2007, AIAI.

ORIENTMAN: an intelligent tutor for the ORIENT software development methodology

Panayiotis E. Pintelas, Achilles Kameas, Panos Fitsilis, 1996, Softw. Eng. J..

DSS-PSP - A Decision Support Software for Evaluating Students' Performance

Panayiotis E. Pintelas, Ioannis E. Livieris, Vassilis Tampakas, 2017, EANN.

Encapsulating multiple perspectives in interaction specification

Panayiotis E. Pintelas, Achilles Kameas, Vassilis C. Gerogiannis, 1994, Proceedings of Twentieth Euromicro Conference. System Architecture and Integration.

Comparative study and categorization of high-level petri nets

Panayiotis E. Pintelas, Achilles Kameas, Vassilis C. Gerogiannis, 1998, J. Syst. Softw..

An Online Ensemble of Classifiers

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, 2004, PRIS.

PREDICTING STUDENTS' PERFORMANCE IN DISTANCE LEARNING USING MACHINE LEARNING TECHNIQUES

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, Christos Pierrakeas, 2004, Appl. Artif. Intell..

An overview of some software design languages

Panayiotis E. Pintelas, Vasilios Kallistros, 1989, J. Syst. Softw..

Preventing Student Dropout in Distance Learning Using Machine Learning Techniques

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, Christos Pierrakeas, 2003, KES.

A practical assessment of formal specification approaches for data abstractions

Panayiotis E. Pintelas, K. P. Ventouris, 1992, J. Syst. Softw..

Local Bagging of Decision Stumps

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2005, IEA/AIE.

A limited memory descent Perry conjugate gradient method

Panayiotis E. Pintelas, Ioannis E. Livieris, 2016, Optim. Lett..

An Improved spectral conjugate Gradient Neural Network Training Algorithm

Panayiotis E. Pintelas, Ioannis E. Livieris, P. Pintelas, 2012, Int. J. Artif. Intell. Tools.

EVALUATING AND IMPROVING EDUCATIONAL MATERIAL AND TUTORING ASPECTS OF DISTANCE LEARNING SYSTEMS

Panayiotis E. Pintelas, Christos Pierrakeas, Michalis Xenos, 2003 .

A survey on student dropout rates and dropout causes concerning the students in the Course of Informatics of the Hellenic Open University

Panayiotis E. Pintelas, Michalis Nik Xenos, Christos Pierrakeas, 2002, Comput. Educ..

Selective costing ensemble for handling imbalanced data sets

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, S. Kotsiantis, 2009, Int. J. Hybrid Intell. Syst..

An Integrated Environment for Building Distributed Multi-agent Educational Applications

Panayiotis E. Pintelas, Tasos Triantis, P. Pintelas, 2004, AIMSA.

Modeling and design of the multimedia subsystem of a distributed authoring environment

Panayiotis E. Pintelas, Achilles Kameas, Stergios Papadimitriou, 1993, Microprocess. Microprogramming.

On Descent Spectral CG Algorithms for Training Recurrent Neural Networks

Panayiotis E. Pintelas, Ioannis E. Livieris, D. G. Sotiropoulos, 2009, 2009 13th Panhellenic Conference on Informatics.

Forecasting stock price index movement using a constrained deep neural network training algorithm

Panayiotis E. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, 2020, Intell. Decis. Technol..

Bagged Voting Ensembles

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, S. Kotsiantis, 2004, AIMSA.

Mixture of Expert Agents for Handling Imbalanced Data Sets

Panayiotis E. Pintelas, Sotiris Kotsiantis, S. Kotsiantis, 2003 .

Robustness of learning techniques in handling class noise in imbalanced datasets

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, M. Karagiannopoulos, 2007, AIAI.

An environment for teaching “program design” by exercises

Panayiotis E. Pintelas, C. Comar, 1990 .

Solving the quadratic trust-region subproblem in a low-memory BFGS framework

Panayiotis E. Pintelas, D. G. Sotiropoulos, M. S. Apostolopoulou, 2008, Optim. Methods Softw..

An Auto-Adjustable Semi-Supervised Self-Training Algorithm

Panayiotis E. Pintelas, Andreas Kanavos, Ioannis E. Livieris, 2018, Algorithms.

Experience from using information technology in the training of managers

Panayiotis E. Pintelas, Achilles Kameas, 1993 .

Ontology-based Learning Applications: A Development Methodology

Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas, 2006, IASTED Conf. on Software Engineering.

Estimating student dropout in distance higher education using semi-supervised techniques

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, Georgios Kostopoulos, 2015, Panhellenic Conference on Informatics.

Bagging Random Trees for Estimation of Tissue Softness

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2005, MLDM.

A translator from small euclid to pascal

Panayiotis E. Pintelas, K. P. Ventouris, M. D. Papassimakopoulou, 1989, SIGP.

Local Application of One-Level Trees

Panayiotis E. Pintelas, Sotiris Kotsiantis, M. Karagiannopoulos, 2007 .

Design of Interactivity in Virtual Reality Applications with Emphasis on Educational Software Using Formal Interaction Specification

Panayiotis E. Pintelas, Costas N. Diplas, 2004, Education and Information Technologies.

A new class of nonmonotone conjugate gradient training algorithms

Panayiotis E. Pintelas, Ioannis E. Livieris, P. Pintelas, 2015, Appl. Math. Comput..

A Cost Sensitive Technique for Ordinal Classification Problems

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, S. Kotsiantis, 2004, SETN.

Decision Support Software for Forecasting Patient's Length of Stay

Panayiotis E. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, 2018, Algorithms.

Modeling the Organoleptic Properties of Matured Wine Distillates

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2005, MLDM.

Data Preprocessing for Supervised Leaning

Dimitris Kanellopoulos, Panayiotis E. Pintelas, Sotiris Kotsiantis, 2007 .

A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2005, IEA/AIE.

A modified Perry conjugate gradient method and its global convergence

Panayiotis E. Pintelas, Ioannis E. Livieris, P. Pintelas, 2015, Optim. Lett..

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

Panayiotis E. Pintelas, Andreas Kanavos, Ioannis E. Livieris, 2019, Algorithms.

A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets

Panayiotis E. Pintelas, Ioannis E. Livieris, Emmanuel G. Pintelas, 2021, Sensors.

An Autoencoder Convolutional Neural Network Framework for Sarcopenia Detection Based on Multi-frame Ultrasound Image Slices

Panayiotis E. Pintelas, George Panayiotakis, Ioannis E. Livieris, 2021, AIAI.

Smoothing and stationarity enforcement framework for deep learning time-series forecasting

Panayiotis E. Pintelas, Ioannis E. Livieris, Lazaros Iliadis, 2021, Neural Comput. Appl..

Intelligent Systems and Knowledge Management

Dimitris Kanellopoulos, Panayiotis E. Pintelas, Sotiris Kotsiantis, 2008, J. Comput. Methods Sci. Eng..

A Descent Dai-Liao Conjugate Gradient Method Based on a Modified Secant Equation and Its Global Convergence

Panayiotis E. Pintelas, Ioannis E. Livieris, 2012 .