An Algol 68R Package for Handling Sets and graphs. - Panayiotis E. Pintelas (1976)

An ALGOL 68 Package for Implementing Graph Algorithms. - G. R. Garside; Panayiotis E. Pintelas (Comput. J., 1980)

A versatile Kernel proposal for a multimicroprocessor system environment. - Mike P. Papazoglou; Panayiotis E. Pintelas (Microprocess. Microprogramming, 1988)

An overview of some software design languages. - Panayiotis E. Pintelas; Vasilios Kallistros (J. Syst. Softw., 1989)

A translator from Small Euclid to Pascal. - Panayiotis E. Pintelas; K. P. Ventouris; M. D. Papassimakopoulou (ACM SIGPLAN Notices, 1989)

An environment for teaching "program design" by exercises. - Cyrille Comar; Panayiotis E. Pintelas (Microprocessing and Microprogramming, 1990)

A comparative study of five language independent programming environments. - Panayiotis E. Pintelas; Spyros Tragoudas (J. Syst. Softw., 1991)

A practical assessment of formal specification approaches for data abstractions. - K. P. Ventouris; Panayiotis E. Pintelas (J. Syst. Softw., 1992)

Modeling and design of the multimedia subsystem of a distributed authoring environment. - Achilles Kameas; Stergios Papadimitriou; Panayiotis E. Pintelas (Microprocess. Microprogramming, 1993)

IDFG: An interactive applications specification model with phenomenological properties. - Achilles Kameas; Stergios Papadimitriou; Panayiotis E. Pintelas; Georgios Pavlides (Microprocess. Microprogramming, 1993)

MeT: The expert methodology tutor of GENITOR. - Ioannis D. Zaharakis; Achilles D. Kameas; Panayiotis E. Pintelas (Microprocess. Microprogramming, 1994)

ORIENTMAN: an intelligent tutor for the ORIENT software development methodology. - Panos Fitsilis; Achilles Kameas; Panayiotis E. Pintelas (Softw. Eng. J., 1996)

The interactive specification workspace: Specifying and designing the interaction issues of virtual reality training environments from within. - Costas N. Diplas; Achilles Kameas; Panayiotis E. Pintelas (DSV-IS, 1997)

A hybrid expert system as an embedded module in tutoring systems. - Ioannis D. Zaharakis; Achilles D. Kameas; Panayiotis E. Pintelas (Digit. Creativity, 1997)

The Functional Architecture and Interaction Model of a GENerator of Intelligent TutORing Applications. - Achilles Kameas; Panayiotis E. Pintelas (J. Syst. Softw., 1997)

Comparative study and categorization of high-level petri nets. - Vassilis C. Gerogiannis; Achilles Kameas; Panayiotis E. Pintelas (J. Syst. Softw., 1998)

Design of Interactivity in Virtual Reality Applications with Emphasis on Educational Software Using Formal Interaction Specification. - Costas N. Diplas; Panayiotis E. Pintelas (Educ. Inf. Technol., 2000)

EIKON: Teaching a high-school technology course with the aid of virtual reality. - Achilles D. Kameas; Panayiotis E. Pintelas; Tassos A. Mikropoulos; Apostolos Katsikis; Anastassios Emvalotis (Educ. Inf. Technol., 2000)

A survey on student dropout rates and dropout causes concerning the students in the Course of Informatics of the Hellenic Open University. - Michalis Nik Xenos; Christos Pierrakeas; Panayiotis E. Pintelas (Comput. Educ., 2002)

Preventing Student Dropout in Distance Learning Using Machine Learning Techniques. - Sotiris B. Kotsiantis; Christos Pierrakeas; Panayiotis E. Pintelas (KES, 2003)

Bagged Voting Ensembles. - Sotiris B. Kotsiantis; Panayiotis E. Pintelas (AIMSA, 2004)

Increasing the Classification Accuracy of Simple Bayesian Classifier. - Sotiris B. Kotsiantis; Panayiotis E. Pintelas (AIMSA, 2004)

An Integrated Environment for Building Distributed Multi-agent Educational Applications. - Tasos Triantis; Panayiotis E. Pintelas (AIMSA, 2004)

A Mobile Multi Agent Architecture for Web Based Learning. - Anastasios Triantis; Panayiotis E. Pintelas (ICALT, 2004)

A Hybrid Decision Support Tool - Using Ensemble of Classifiers. - Sotiris B. Kotsiantis; Panayiotis E. Pintelas (ICEIS (2), 2004)

"Intuition" Operator: Providing Genomes with Reason. - Grigorios N. Beligiannis; Georgios A. Tsirogiannis; Panayiotis E. Pintelas (International Conference on Computational Intelligence, 2004)

Restartings: A Technique to Improve Classic Genetic Algorithms' Performance. - Grigorios N. Beligiannis; Georgios A. Tsirogiannis; Panayiotis E. Pintelas (International Conference on Computational Intelligence, 2004)

Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data. - George E. Tsekouras; Dimitris Papageorgiou; Sotiris B. Kotsiantis; Christos Kalloniatis; Panayiotis E. Pintelas (International Conference on Computational Intelligence, 2004)

An Online Ensemble of Classifiers. - Sotiris B. Kotsiantis; Panayiotis E. Pintelas (PRIS, 2004)

A Cost Sensitive Technique for Ordinal Classification Problems. - Sotiris B. Kotsiantis; Panayiotis E. Pintelas (SETN, 2004)

Predicting Students' Performance In Distance Learning Using Machine Learning Techniques. - Sotiris B. Kotsiantis; Christos Pierrakeas; Panayiotis E. Pintelas (Appl. Artif. Intell., 2004)

A decision support prototype tool for predicting student performance in an ODL environment. - Sotiris B. Kotsiantis; Panayiotis E. Pintelas (Interact. Technol. Smart Educ., 2004)

Predicting Students' Marks in Hellenic Open University. - Sotiris B. Kotsiantis; Panayiotis E. Pintelas (ICALT, 2005)

Local Bagging of Decision Stumps. - Sotiris B. Kotsiantis; George E. Tsekouras; Panayiotis E. Pintelas (IEA/AIE, 2005)

A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data. - George E. Tsekouras; Dimitris Papageorgiou; Sotiris B. Kotsiantis; Christos Kalloniatis; Panayiotis E. Pintelas (IEA/AIE, 2005)

Bagging Random Trees for Estimation of Tissue Softness. - Sotiris B. Kotsiantis; George E. Tsekouras; Panayiotis E. Pintelas (MLDM, 2005)

Modeling the Organoleptic Properties of Matured Wine Distillates. - Sotiris B. Kotsiantis; George E. Tsekouras; C. Raptis; Panayiotis E. Pintelas (MLDM, 2005)

Bagging Model Trees for Classification Problems. - Sotiris B. Kotsiantis; George E. Tsekouras; Panayiotis E. Pintelas (Panhellenic Conference on Informatics, 2005)

Logitboost of Simple Bayesian Classifier. - Sotiris B. Kotsiantis; Panayiotis E. Pintelas (Informatica (Slovenia), 2005)

Local voting of weak classifiers. - Sotiris B. Kotsiantis; Panayiotis E. Pintelas (Int. J. Knowl. Based Intell. Eng. Syst., 2005)

Ontology-based Learning Applications: A Development Methodology. - Dimitris Kanellopoulos; Sotiris B. Kotsiantis; Panayiotis E. Pintelas (IASTED Conf. on Software Engineering, 2006)

Local Additive Regression of Decision Stumps. - Sotiris B. Kotsiantis; Dimitris Kanellopoulos; Panayiotis E. Pintelas (SETN, 2006)

Machine learning: a review of classification and combining techniques. - Sotiris B. Kotsiantis; Ioannis D. Zaharakis; Panayiotis E. Pintelas (Artif. Intell. Rev., 2006)

Local Boosting of Decision Stumps for Regression and Classification Problems. - Sotiris B. Kotsiantis; Dimitris Kanellopoulos; Panayiotis E. Pintelas (J. Comput., 2006)

Robustness of learning techniques in handling class noise in imbalanced datasets. - D. Anyfantis; M. Karagiannopoulos; Sotiris B. Kotsiantis; Panayiotis E. Pintelas (AIAI, 2007)

A Wrapper for Reweighting Training Instances for Handling Imbalanced Data Sets. - M. Karagiannopoulos; D. Anyfantis; Sotiris B. Kotsiantis; Panayiotis E. Pintelas (AIAI, 2007)

Diplek: an open educational Platform that supports the composition of learning, management and communication services. - Christos T. Rodosthenous; Achilles Kameas; Panayiotis E. Pintelas (EIAT/IETA, 2008)

Solving the quadratic trust-region subproblem in a low-memory BFGS framework. - M. S. Apostolopoulou; Dimitris G. Sotiropoulos; Panayiotis E. Pintelas (Optim. Methods Softw., 2008)

A memoryless BFGS neural network training algorithm. - M. S. Apostolopoulou; Dimitris G. Sotiropoulos; Ioannis E. Livieris; Panagiotis E. Pintelas (INDIN, 2009)

Classification of Large Biomedical Data Using ANNs Based on BFGS Method. - Ioannis E. Livieris; M. S. Apostolopoulou; Dimitris G. Sotiropoulos; Spyros Sioutas; Panayiotis E. Pintelas (Panhellenic Conference on Informatics, 2009)

On Descent Spectral CG Algorithms for Training Recurrent Neural Networks. - Ioannis E. Livieris; Dimitris G. Sotiropoulos; Panayiotis E. Pintelas (Panhellenic Conference on Informatics, 2009)

Selective costing ensemble for handling imbalanced data sets. - Sotiris B. Kotsiantis; Panayiotis E. Pintelas (Int. J. Hybrid Intell. Syst., 2009)

Intelligent Systems and Knowledge Management (Part II). - Dimitris Kanellopoulos; Sotiris B. Kotsiantis; Panayiotis E. Pintelas (J. Comput. Methods Sci. Eng., 2011)

A practical method for solving large-scale TRS. - M. S. Apostolopoulou; Dimitris G. Sotiropoulos; C. A. Botsaris; Panayiotis E. Pintelas (Optim. Lett., 2011)

Globally convergent modified Perry's conjugate gradient method. - Ioannis E. Livieris; Panayiotis E. Pintelas (Appl. Math. Comput., 2012)

An Improved spectral conjugate Gradient Neural Network Training Algorithm. - Ioannis E. Livieris; Panayiotis E. Pintelas (Int. J. Artif. Intell. Tools, 2012)

A new conjugate gradient algorithm for training neural networks based on a modified secant equation. - Ioannis E. Livieris; Panayiotis E. Pintelas (Appl. Math. Comput., 2013)

A new class of spectral conjugate gradient methods based on a modified secant equation for unconstrained optimization. - Ioannis E. Livieris; Panayiotis E. Pintelas (J. Comput. Appl. Math., 2013)

Predicting Student Performance in Distance Higher Education Using Semi-supervised Techniques. - Georgios Kostopoulos; Sotiris B. Kotsiantis; Panagiotis E. Pintelas (MEDI, 2015)

Estimating student dropout in distance higher education using semi-supervised techniques. - Georgios Kostopoulos; Sotiris B. Kotsiantis; Panagiotis E. Pintelas (Panhellenic Conference on Informatics, 2015)

A new class of nonmonotone conjugate gradient training algorithms. - Ioannis E. Livieris; Panagiotis E. Pintelas (Appl. Math. Comput., 2015)

A modified Perry conjugate gradient method and its global convergence. - Ioannis E. Livieris; Panagiotis E. Pintelas (Optim. Lett., 2015)

A limited memory descent Perry conjugate gradient method. - Ioannis E. Livieris; Panagiotis E. Pintelas (Optim. Lett., 2016)

DSS-PSP - A Decision Support Software for Evaluating Students' Performance. - Ioannis E. Livieris; Konstantina Drakopoulou; Thodoris Kotsilieris; Vassilis Tampakas; Panagiotis E. Pintelas (EANN, 2017)

A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update. - Ioannis E. Livieris; Stamatis Karlos; Vassilis Tampakas; Panagiotis E. Pintelas (PCI, 2017)

Predicting length of stay in hospitalized patients using SSL algorithms. - Ioannis E. Livieris; Ioannis F. Dimopoulos; Theodore Kotsilieris; Panagiotis E. Pintelas (DSAI, 2018)

A review of machine learning prediction methods for anxiety disorders. - Emmanuel G. Pintelas; Theodore Kotsilieris; Ioannis E. Livieris; Panagiotis E. Pintelas (DSAI, 2018)

Forecasting Students' Performance Using an Ensemble SSL Algorithm. - Ioannis E. Livieris; Vassilis Tampakas; Niki Kiriakidou; Tassos A. Mikropoulos; Panagiotis E. Pintelas (TECH-EDU, 2018)

Prediction of Students' Graduation Time Using a Two-Level Classification Algorithm. - Vassilis Tampakas; Ioannis E. Livieris; Emmanuel Pintelas; Nikos I. Karacapilidis; Panagiotis E. Pintelas (TECH-EDU, 2018)

Decision Support Software for Forecasting Patient's Length of Stay. - Ioannis E. Livieris; Theodore Kotsilieris; Ioannis F. Dimopoulos; Panayiotis E. Pintelas (Algorithms, 2018)

An Auto-Adjustable Semi-Supervised Self-Training Algorithm. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panayiotis E. Pintelas (Algorithms, 2018)

Detecting Lung Abnormalities From X-rays Using an Improved SSL Algorithm. - Ioannis E. Livieris; Andreas Kanavos; Panagiotis E. Pintelas (BRAINS/WS-AFFIN@AmI, 2018)

On Ensemble SSL Algorithms for Credit Scoring Problem. - Ioannis E. Livieris; Niki Kiriakidou; Andreas Kanavos; Vassilis Tampakas; Panagiotis E. Pintelas (Informatics, 2018)

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panayiotis E. Pintelas (J. Imaging, 2018)

A descent hybrid conjugate gradient method based on the memoryless BFGS update. - Ioannis E. Livieris; Vassilis Tampakas; Panayiotis E. Pintelas (Numer. Algorithms, 2018)

Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method. - Fotios Kounelis; Andreas Kanavos; Ioannis E. Livieris; Gerasimos Vonitsanos; Panagiotis E. Pintelas (AIAI (Workshops), 2019)

A Weighted Voting Ensemble Self-Labeled Algorithm for the Detection of Lung Abnormalities from X-Rays. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panagiotis E. Pintelas (Algorithms, 2019)

A semi-supervised self-trained two-level algorithm for forecasting students' graduation time. - Ioannis E. Livieris; Vassilis Tampakas; Nikos I. Karacapilidis; Panagiotis E. Pintelas (Intell. Decis. Technol., 2019)

An adaptive nonmonotone active set - weight constrained - neural network training algorithm. - Ioannis E. Livieris; Panagiotis E. Pintelas (Neurocomputing, 2019)

Gender Recognition by Voice using an Improved Self-Labeled Algorithm. - Ioannis E. Livieris; Emmanuel Pintelas; Panagiotis E. Pintelas (Mach. Learn. Knowl. Extr., 2019)

Improving the evaluation process of students' performance utilizing a decision support software. - Ioannis E. Livieris; Theodore Kotsilieris; Vassilis Tampakas; Panayiotis E. Pintelas (Neural Comput. Appl., 2019)

Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach. - Emmanuel Pintelas; Ioannis E. Livieris; Stavros Stavroyiannis; Theodore Kotsilieris; Panayiotis E. Pintelas (AIAI (2), 2020)

Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series. - Ioannis E. Livieris; Emmanuel Pintelas; Stavros Stavroyiannis; Panayiotis E. Pintelas (Algorithms, 2020)

Special Issue on Ensemble Learning and Applications. - Panagiotis E. Pintelas; Ioannis E. Livieris (Algorithms, 2020)

A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability. - Emmanuel Pintelas; Ioannis E. Livieris; Panayiotis E. Pintelas (Algorithms, 2020)

Forecasting stock price index movement using a constrained deep neural network training algorithm. - Ioannis E. Livieris; Theodore Kotsilieris; Stavros Stavroyiannis; Panayiotis E. Pintelas (Intell. Decis. Technol., 2020)

Predicting anxiety disorders and suicide tendency using machine learning: a review. - Theodore Kotsilieris; Emmanuel Pintelas; Ioannis E. Livieris; Panayiotis E. Pintelas (Int. J. Medical Eng. Informatics, 2020)

Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction. - Emmanuel Pintelas; Meletis Liaskos; Ioannis E. Livieris; Sotiris Kotsiantis; Panayiotis E. Pintelas (J. Imaging, 2020)

An improved weight-constrained neural network training algorithm. - Ioannis E. Livieris; Panagiotis E. Pintelas (Neural Comput. Appl., 2020)

A CNN-LSTM model for gold price time-series forecasting. - Ioannis E. Livieris; Emmanuel Pintelas; Panayiotis E. Pintelas (Neural Comput. Appl., 2020)

A novel validation framework to enhance deep learning models in time-series forecasting. - Ioannis E. Livieris; Stavros Stavroyiannis; Emmanuel Pintelas; Panayiotis E. Pintelas (Neural Comput. Appl., 2020)

An Autoencoder Convolutional Neural Network Framework for Sarcopenia Detection Based on Multi-frame Ultrasound Image Slices. - Emmanuel Pintelas; Ioannis E. Livieris; Nikolaos Barotsis; George Panayiotakis 001; Panagiotis E. Pintelas (AIAI, 2021)

On ensemble techniques of weight-constrained neural networks. - Ioannis E. Livieris; Lazaros Iliadis 001; Panayiotis E. Pintelas (Evol. Syst., 2021)

Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques. - Ioannis D. Apostolopoulos; Emmanuel G. Pintelas; Ioannis E. Livieris; Dimitris J. Apostolopoulos; Nikolaos D. Papathanasiou; Panagiotis E. Pintelas; George S. Panayiotakis (Medical Biol. Eng. Comput., 2021)

Smoothing and stationarity enforcement framework for deep learning time-series forecasting. - Ioannis E. Livieris; Stavros Stavroyiannis; Lazaros Iliadis 001; Panagiotis E. Pintelas (Neural Comput. Appl., 2021)

A novel explainable image classification framework: case study on skin cancer and plant disease prediction. - Emmanuel Pintelas; Meletis Liaskos; Ioannis E. Livieris; Sotiris Kotsiantis; Panagiotis E. Pintelas (Neural Comput. Appl., 2021)

A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets. - Emmanuel Pintelas; Ioannis E. Livieris; Panagiotis E. Pintelas (Sensors, 2021)

A 3D-CAE-CNN model for Deep Representation Learning of 3D images. - Emmanuel Pintelas; Panayiotis E. Pintelas (Eng. Appl. Artif. Intell., 2022)

A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index. - Ioannis E. Livieris; Stavros Stavroyiannis; Emmanuel Pintelas; Theodore Kotsilieris; Panayiotis E. Pintelas (Evol. Syst., 2022)

A novel multi-step forecasting strategy for enhancing deep learning models' performance. - Ioannis E. Livieris; Panagiotis E. Pintelas (Neural Comput. Appl., 2022)

A Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational Waves. - Emmanuel Pintelas; Ioannis E. Livieris; Panagiotis E. Pintelas (AIAI (1), 2023)

Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers. - Annwesha Banerjee Majumder; Somsubhra Gupta; Dharmpal Singh; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos; Panayiotis E. Pintelas (Algorithms, 2023)

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. - Ioannis E. Livieris; Emmanuel Pintelas; Niki Kiriakidou; Panayiotis E. Pintelas (J. Imaging, 2023)

Special Issue on Ensemble Learning and/or Explainability. - Panayiotis E. Pintelas; Ioannis E. Livieris (Algorithms, 2023)

Special Issue on Machine Learning and AI for Sensors. - Panagiotis E. Pintelas; Sotiris Kotsiantis; Ioannis E. Livieris (Sensors, 2023)

A multi-view-CNN framework for deep representation learning in image classification. - Emmanuel Pintelas; Ioannis E. Livieris; Sotiris Kotsiantis; Panayiotis E. Pintelas (Comput. Vis. Image Underst., 2023)

Adaptive augmentation framework for domain independent few shot learning. - Emmanuel Pintelas; Ioannis E. Livieris; Panayiotis E. Pintelas (Knowl. Based Syst., 2024)

Mutual information-based neighbor selection method for causal effect estimation. - Niki Kiriakidou; Ioannis E. Livieris; Panayiotis E. Pintelas (Neural Comput. Appl., 2024)

Feature augmentation-based CNN framework for skin-cancer diagnosis. - Emmanuel Pintelas; Ioannis E. Livieris; Vasilis Tampakas; Panayiotis E. Pintelas (Evol. Syst., 2025)

Researching the detection of continuous gravitational waves based on signal processing and ensemble learning. - Emmanuel Pintelas; Ioannis E. Livieris; Panayiotis E. Pintelas (Neural Comput. Appl., 2025)