Panayiotis E. Pintelas - researchr alias

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Viewing Publication 1 - 76 from 76

2023

2022

A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 indexIoannis E. Livieris, Stavros Stavroyiannis, Emmanuel G. Pintelas, Theodore Kotsilieris, Panayiotis E. Pintelas. evs, 13(1):85-100, 2022. [doi]

A 3D-CAE-CNN model for Deep Representation Learning of 3D imagesEmmanuel G. Pintelas, Panayiotis E. Pintelas. eaai, 113:104978, 2022. [doi]

2021

On ensemble techniques of weight-constrained neural networksIoannis E. Livieris, Lazaros Iliadis, Panayiotis E. Pintelas. evs, 12(1):155-167, 2021. [doi]

2020

Predicting anxiety disorders and suicide tendency using machine learning: a reviewTheodore Kotsilieris, Emmanuel G. Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas. ijmei, 12(6):599-608, 2020. [doi]

A novel validation framework to enhance deep learning models in time-series forecastingIoannis E. Livieris, Stavros Stavroyiannis, Emmanuel G. Pintelas, Panayiotis E. Pintelas. nca, 32(23):17149-17167, 2020. [doi]

A CNN-LSTM model for gold price time-series forecastingIoannis E. Livieris, Emmanuel G. Pintelas, Panayiotis E. Pintelas. nca, 32(23):17351-17360, 2020. [doi]

Forecasting stock price index movement using a constrained deep neural network training algorithmIoannis E. Livieris, Theodore Kotsilieris, Stavros Stavroyiannis, Panayiotis E. Pintelas. idt, 14(3):313-323, 2020. [doi]

Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-SeriesIoannis E. Livieris, Emmanuel G. Pintelas, Stavros Stavroyiannis, Panayiotis E. Pintelas. algorithms, 13(5):121, 2020. [doi]

A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic InterpretabilityEmmanuel G. Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas. algorithms, 13(1):17, 2020. [doi]

Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer PredictionEmmanuel G. Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas. jimaging, 6(6):37, 2020. [doi]

2019

Improving the evaluation process of students' performance utilizing a decision support softwareIoannis E. Livieris, T. Kotsilieris, Vassilis Tampakas, Panayiotis E. Pintelas. nca, 31(6):1683-1694, 2019. [doi]

2018

2013

A new conjugate gradient algorithm for training neural networks based on a modified secant equationIoannis E. Livieris, Panayiotis E. Pintelas. amc, 221:491-502, 2013. [doi]

A new class of spectral conjugate gradient methods based on a modified secant equation for unconstrained optimizationIoannis E. Livieris, Panayiotis E. Pintelas. jcam, 239:396-405, 2013. [doi]

2012

Globally convergent modified Perry's conjugate gradient methodIoannis E. Livieris, Panayiotis E. Pintelas. amc, 218(18):9197-9207, 2012. [doi]

An Improved spectral conjugate Gradient Neural Network Training AlgorithmIoannis E. Livieris, Panayiotis E. Pintelas. ijait, 21(1), 2012. [doi]

2011

A practical method for solving large-scale TRSM. S. Apostolopoulou, D. G. Sotiropoulos, C. A. Botsaris, Panayiotis E. Pintelas. ol, 5(2):207-227, 2011. [doi]

Intelligent Systems and Knowledge Management (Part II)Dimitris Kanellopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas. jcmse, 11(3):89-90, 2011. [doi]

2009

Selective costing ensemble for handling imbalanced data setsSotiris B. Kotsiantis, Panayiotis E. Pintelas. ijhis, 6(3):123-133, 2009. [doi]

On Descent Spectral CG Algorithms for Training Recurrent Neural NetworksI. E. Livieris, D. G. Sotiropoulos, Panayiotis E. Pintelas. pci 2009: 65-69 [doi]

Classification of Large Biomedical Data Using ANNs Based on BFGS MethodI. E. Livieris, M. S. Apostolopoulou, D. G. Sotiropoulos, Spyros Sioutas, Panayiotis E. Pintelas. pci 2009: 87-91 [doi]

2008

Solving the quadratic trust-region subproblem in a low-memory BFGS frameworkM. S. Apostolopoulou, D. G. Sotiropoulos, Panayiotis E. Pintelas. oms, 23(5):651-674, 2008. [doi]

Diplek: an open educational Platform that supports the composition of learning, management and communication servicesC. T. Rodosthenous, Achilles Kameas, Panayiotis E. Pintelas. cisse 2010: 321-326 [doi]

2007

Robustness of learning techniques in handling class noise in imbalanced datasetsD. Anyfantis, M. Karagiannopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas. ifip12 2007: 21-28 [doi]

A Wrapper for Reweighting Training Instances for Handling Imbalanced Data SetsM. Karagiannopoulos, D. Anyfantis, Sotiris B. Kotsiantis, Panayiotis E. Pintelas. ifip12 2007: 29-36 [doi]

2006

2005

Logitboost of Simple Bayesian ClassifierSotiris B. Kotsiantis, Panayiotis E. Pintelas. informaticaSI, 29(1):53-60, 2005. [doi]

Local voting of weak classifiersSotiris B. Kotsiantis, Panayiotis E. Pintelas. kes, 9(3):239-248, 2005. [doi]

Predicting Students Marks in Hellenic Open UniversitySotiris B. Kotsiantis, Panayiotis E. Pintelas. icalt 2005: 664-668 [doi]

Modeling the Organoleptic Properties of Matured Wine DistillatesSotiris B. Kotsiantis, George E. Tsekouras, C. Raptis, Panayiotis E. Pintelas. mldm 2005: 667-673 [doi]

Local Bagging of Decision StumpsSotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas. ieaaie 2005: 406-411 [doi]

Bagging Random Trees for Estimation of Tissue SoftnessSotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas. mldm 2005: 674-681 [doi]

Bagging Model Trees for Classification ProblemsSotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas. pci 2005: 328-337 [doi]

A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural DataGeorge E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panayiotis E. Pintelas. ieaaie 2005: 705-708 [doi]

2004

Intuition Operator: Providing Genomes with ReasonGrigorios N. Beligiannis, Georgios A. Tsirogiannis, Panayiotis E. Pintelas. ijit 2004: 65-68

Restartings: A Technique to Improve Classic Genetic Algorithms PerformanceGrigorios N. Beligiannis, Georgios A. Tsirogiannis, Panayiotis E. Pintelas. ijit 2004: 404-407

A decision support prototype tool for predicting student performance in an ODL environmentSotiris B. Kotsiantis, Panayiotis E. Pintelas. itse, 1(4):253-264, 2004. [doi]

An Online Ensemble of ClassifiersSotiris B. Kotsiantis, Panayiotis E. Pintelas. pris 2004: 59-68

A Cost Sensitive Technique for Ordinal Classification ProblemsSotiris B. Kotsiantis, Panayiotis E. Pintelas. setn 2004: 220-229 [doi]

Bagged Voting EnsemblesSotiris B. Kotsiantis, Panayiotis E. Pintelas. aimsa 2004: 168-177 [doi]

Increasing the Classification Accuracy of Simple Bayesian ClassifierSotiris B. Kotsiantis, Panayiotis E. Pintelas. aimsa 2004: 198-207 [doi]

A Hybrid Decision Support Tool - Using Ensemble of ClassifiersSotiris B. Kotsiantis, Panayiotis E. Pintelas. ICEIS 2004: 448-456

Predicting Students Performance In Distance Learning Using Machine Learning TechniquesSotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas. aai, 18(5):411-426, 2004. [doi]

A Mobile Multi Agent Architecture for Web Based LearningAnastasios Triantis, Panayiotis E. Pintelas. icalt 2004:

An Integrated Environment for Building Distributed Multi-agent Educational ApplicationsTasos Triantis, Panayiotis E. Pintelas. aimsa 2004: 351-360 [doi]

Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural DataGeorge E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panayiotis E. Pintelas. ijit 2004: 202-206

2003

Preventing Student Dropout in Distance Learning Using Machine Learning TechniquesSotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas. kes 2003: 267-274 [doi]

2002

A survey on student dropout rates and dropout causes concerning the students in the Course of Informatics of the Hellenic Open UniversityMichalis Nik Xenos, Christos Pierrakeas, Panayiotis E. Pintelas. ce, 39(4):361-377, 2002. [doi]

2000

Design of Interactivity in Virtual Reality Applications with Emphasis on Educational Software Using Formal Interaction SpecificationCostas N. Diplas, Panayiotis E. Pintelas. eait, 5(4):291-304, 2000. [doi]

EIKON: Teaching a high-school technology course with the aid of virtual realityAchilles D. Kameas, Panayiotis E. Pintelas, Tassos A. Mikropoulos, Apostolos Katsikis, Anastassios Emvalotis. eait, 5(4):305-315, 2000. [doi]

1998

Comparative study and categorization of high-level petri netsVasilis C. Gerogiannis, Achilles Kameas, Panayiotis E. Pintelas. jss, 43(2):133-160, 1998. [doi]

1997

The interactive specification workspace: Specifying and designing the interaction issues of virtual reality training environments from withinC. N. Diplas, Achilles Kameas, Panayiotis E. Pintelas. DSVIS 1997: 241-256

The Functional Architecture and Interaction Model of a GENerator of Intelligent TutORing ApplicationsAchilles Kameas, Panayiotis E. Pintelas. jss, 36(3):233-245, 1997.

A hybrid expert system as an embedded module in tutoring systemsIoannis D. Zaharakis, Achilles D. Kameas, Panayiotis E. Pintelas. creativity, 8(2):47-58, 1997. [doi]

1996

ORIENTMAN: an intelligent tutor for the ORIENT software development methodologyPanos Fitsilis, Achilles Kameas, Panayiotis E. Pintelas. iee, 11(4):206-214, 1996. [doi]

1994

MeT: The expert methodology tutor of GENITORIoannis D. Zaharakis, Achilles D. Kameas, Panayiotis E. Pintelas. jsa, 40(10-12):855-860, 1994. [doi]

1993

IDFG: An interactive applications specification model with phenomenological propertiesAchilles Kameas, Stergios Papadimitriou, Panayiotis E. Pintelas, Georgios Pavlides. jsa, 38(1-5):615-623, 1993. [doi]

Modeling and design of the multimedia subsystem of a distributed authoring environmentAchilles Kameas, Stergios Papadimitriou, Panayiotis E. Pintelas. jsa, 38(1-5):669-678, 1993. [doi]

1992

A practical assessment of formal specification approaches for data abstractionsK. P. Ventouris, Panayiotis E. Pintelas. jss, 17(2):169-188, 1992. [doi]

1991

A comparative study of five language independent programming environmentsPanayiotis E. Pintelas, Spyros Tragoudas. jss, 14(1):3-15, 1991. [doi]

1990

An environment for teaching "program design" by exercisesCyrille Comar, Panayiotis E. Pintelas. jsa, 28(1-5):259-264, 1990. [doi]

1989

A translator from Small Euclid to PascalPanayiotis E. Pintelas, K. P. Ventouris, M. D. Papassimakopoulou. SIGPLAN, 24(5):93-101, 1989. [doi]

An overview of some software design languagesPanayiotis E. Pintelas, Vasilios Kallistros. jss, 10(2):125-138, 1989. [doi]

1988

A versatile Kernel proposal for a multimicroprocessor system environmentMike P. Papazoglou, Panayiotis E. Pintelas. jsa, 22(1):11-21, 1988. [doi]

1980

An ALGOL 68 Package for Implementing Graph AlgorithmsG. R. Garside, Panayiotis E. Pintelas. cj, 23(3):237-242, 1980.

1976

An Algol 68R Package for Handling Sets and graphsPanayiotis E. Pintelas. PhD thesis, University of Bradford, UK, 1976. [doi]

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