Panayiotis E. Pintelas

82 papers B 3C 2Misc 5Journal 55Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Feature augmentation-based CNN framework for skin-cancer diagnosis. Evol. Syst. Emmanuel Pintelas, Ioannis E. Livieris, Vasilis Tampakas, Panayiotis E. Pintelas
2025	J	`jnl`	Researching the detection of continuous gravitational waves based on signal processing and ensemble learning. Neural Comput. Appl. Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas
2024	J	`jnl`	Adaptive augmentation framework for domain independent few shot learning. Knowl. Based Syst. Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas
2024	J	`jnl`	MobileNet-HeX: Heterogeneous Ensemble of MobileNet eXperts for Efficient and Scalable Vision Model Optimization. Big Data Cogn. Comput. Emmanuel Pintelas, Ioannis E. Livieris, Vasilis Tampakas, Panayiotis E. Pintelas
2024	J	`jnl`	Mutual information-based neighbor selection method for causal effect estimation. Neural Comput. Appl. Niki Kiriakidou, Ioannis E. Livieris, Panayiotis E. Pintelas
2023	J	`jnl`	A multi-view-CNN framework for deep representation learning in image classification. Comput. Vis. Image Underst. Emmanuel Pintelas, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas
2023	J	`jnl`	Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. J. Imaging Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Panayiotis E. Pintelas
2023	J	`jnl`	Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers. Algorithms Annwesha Banerjee Majumder, Somsubhra Gupta, Dharmpal Singh, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos, Panayiotis E. Pintelas
2023	J	`jnl`	Special Issue on Ensemble Learning and/or Explainability. Algorithms Panayiotis E. Pintelas, Ioannis E. Livieris
2022	J	`jnl`	A 3D-CAE-CNN model for Deep Representation Learning of 3D images. Eng. Appl. Artif. Intell. Emmanuel Pintelas, Panayiotis E. Pintelas
2022	J	`jnl`	A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index. Evol. Syst. Ioannis E. Livieris, Stavros Stavroyiannis, Emmanuel Pintelas, Theodore Kotsilieris, Panayiotis E. Pintelas
2021	J	`jnl`	On ensemble techniques of weight-constrained neural networks. Evol. Syst. Ioannis E. Livieris, Lazaros Iliadis, Panayiotis E. Pintelas
2020	J	`jnl`	A CNN-LSTM model for gold price time-series forecasting. Neural Comput. Appl. Ioannis E. Livieris, Emmanuel Pintelas, Panayiotis E. Pintelas
2020	J	`jnl`	A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability. Algorithms Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas
2020	J	`jnl`	A novel validation framework to enhance deep learning models in time-series forecasting. Neural Comput. Appl. Ioannis E. Livieris, Stavros Stavroyiannis, Emmanuel Pintelas, Panayiotis E. Pintelas
2020	J	`jnl`	Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series. Algorithms Ioannis E. Livieris, Emmanuel Pintelas, Stavros Stavroyiannis, Panayiotis E. Pintelas
2020	J	`jnl`	Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction. J. Imaging Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas
2020	J	`jnl`	Forecasting stock price index movement using a constrained deep neural network training algorithm. Intell. Decis. Technol. Ioannis E. Livieris, Theodore Kotsilieris, Stavros Stavroyiannis, Panayiotis E. Pintelas
2020	—	`conf`	Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach. AIAI (2) Emmanuel Pintelas, Ioannis E. Livieris, Stavros Stavroyiannis, Theodore Kotsilieris, Panayiotis E. Pintelas
2020	J	`jnl`	Predicting anxiety disorders and suicide tendency using machine learning: a review. Int. J. Medical Eng. Informatics Theodore Kotsilieris, Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas
2019	J	`jnl`	Improving the evaluation process of students' performance utilizing a decision support software. Neural Comput. Appl. Ioannis E. Livieris, Theodore Kotsilieris, Vassilis Tampakas, Panayiotis E. Pintelas
2018	J	`jnl`	A descent hybrid conjugate gradient method based on the memoryless BFGS update. Numer. Algorithms Ioannis E. Livieris, Vassilis Tampakas, Panayiotis E. Pintelas
2018	J	`jnl`	An Auto-Adjustable Semi-Supervised Self-Training Algorithm. Algorithms Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas
2018	J	`jnl`	An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification. J. Imaging Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas
2018	J	`jnl`	Decision Support Software for Forecasting Patient's Length of Stay. Algorithms Ioannis E. Livieris, Theodore Kotsilieris, Ioannis F. Dimopoulos, Panayiotis E. Pintelas
2013	J	`jnl`	A new class of spectral conjugate gradient methods based on a modified secant equation for unconstrained optimization. J. Comput. Appl. Math. Ioannis E. Livieris, Panayiotis E. Pintelas
2013	J	`jnl`	A new conjugate gradient algorithm for training neural networks based on a modified secant equation. Appl. Math. Comput. Ioannis E. Livieris, Panayiotis E. Pintelas
2012	J	`jnl`	An Improved spectral conjugate Gradient Neural Network Training Algorithm. Int. J. Artif. Intell. Tools Ioannis E. Livieris, Panayiotis E. Pintelas
2012	J	`jnl`	Globally convergent modified Perry's conjugate gradient method. Appl. Math. Comput. Ioannis E. Livieris, Panayiotis E. Pintelas
2011	J	`jnl`	A practical method for solving large-scale TRS. Optim. Lett. M. S. Apostolopoulou, Dimitris G. Sotiropoulos, C. A. Botsaris, Panayiotis E. Pintelas
2011	J	`jnl`	Intelligent Systems and Knowledge Management (Part II). J. Comput. Methods Sci. Eng. Dimitris Kanellopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2009	—	`conf`	Classification of Large Biomedical Data Using ANNs Based on BFGS Method. Panhellenic Conference on Informatics Ioannis E. Livieris, M. S. Apostolopoulou, Dimitris G. Sotiropoulos, Spyros Sioutas, Panayiotis E. Pintelas
2009	—	`conf`	On Descent Spectral CG Algorithms for Training Recurrent Neural Networks. Panhellenic Conference on Informatics Ioannis E. Livieris, Dimitris G. Sotiropoulos, Panayiotis E. Pintelas
2009	J	`jnl`	Selective costing ensemble for handling imbalanced data sets. Int. J. Hybrid Intell. Syst. Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2008	—	`conf`	Diplek: an open educational Platform that supports the composition of learning, management and communication services. EIAT/IETA Christos T. Rodosthenous, Achilles Kameas, Panayiotis E. Pintelas
2008	J	`jnl`	Solving the quadratic trust-region subproblem in a low-memory BFGS framework. Optim. Methods Softw. M. S. Apostolopoulou, Dimitris G. Sotiropoulos, Panayiotis E. Pintelas
2007	Misc	`conf`	A Wrapper for Reweighting Training Instances for Handling Imbalanced Data Sets. AIAI M. Karagiannopoulos, D. Anyfantis, Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2007	Misc	`conf`	Robustness of learning techniques in handling class noise in imbalanced datasets. AIAI D. Anyfantis, M. Karagiannopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2006	—	`conf`	Local Additive Regression of Decision Stumps. SETN Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas
2006	J	`jnl`	Local Boosting of Decision Stumps for Regression and Classification Problems. J. Comput. Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas
2006	J	`jnl`	Machine learning: a review of classification and combining techniques. Artif. Intell. Rev. Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panayiotis E. Pintelas
2006	—	`conf`	Ontology-based Learning Applications: A Development Methodology. IASTED Conf. on Software Engineering Dimitris Kanellopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2005	C	`conf`	A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data. IEA/AIE George E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panayiotis E. Pintelas
2005	—	`conf`	Bagging Model Trees for Classification Problems. Panhellenic Conference on Informatics Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas
2005	—	`conf`	Bagging Random Trees for Estimation of Tissue Softness. MLDM Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas
2005	C	`conf`	Local Bagging of Decision Stumps. IEA/AIE Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas
2005	J	`jnl`	Local voting of weak classifiers. Int. J. Knowl. Based Intell. Eng. Syst. Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2005	J	`jnl`	Logitboost of Simple Bayesian Classifier. Informatica (Slovenia) Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2005	—	`conf`	Modeling the Organoleptic Properties of Matured Wine Distillates. MLDM Sotiris B. Kotsiantis, George E. Tsekouras, C. Raptis, Panayiotis E. Pintelas
2005	B	`conf`	Predicting Students' Marks in Hellenic Open University. ICALT Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2004	—	`conf`	"Intuition" Operator: Providing Genomes with Reason. International Conference on Computational Intelligence Grigorios N. Beligiannis, Georgios A. Tsirogiannis, Panayiotis E. Pintelas
2004	—	`conf`	A Cost Sensitive Technique for Ordinal Classification Problems. SETN Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2004	—	`conf`	A Hybrid Decision Support Tool - Using Ensemble of Classifiers. ICEIS (2) Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2004	B	`conf`	A Mobile Multi Agent Architecture for Web Based Learning. ICALT Anastasios Triantis, Panayiotis E. Pintelas
2004	J	`jnl`	A decision support prototype tool for predicting student performance in an ODL environment. Interact. Technol. Smart Educ. Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2004	Misc	`conf`	An Integrated Environment for Building Distributed Multi-agent Educational Applications. AIMSA Tasos Triantis, Panayiotis E. Pintelas
2004	—	`conf`	An Online Ensemble of Classifiers. PRIS Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2004	Misc	`conf`	Bagged Voting Ensembles. AIMSA Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2004	—	`conf`	Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data. International Conference on Computational Intelligence George E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panayiotis E. Pintelas
2004	Misc	`conf`	Increasing the Classification Accuracy of Simple Bayesian Classifier. AIMSA Sotiris B. Kotsiantis, Panayiotis E. Pintelas
2004	J	`jnl`	Predicting Students' Performance In Distance Learning Using Machine Learning Techniques. Appl. Artif. Intell. Sotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas
2004	—	`conf`	Restartings: A Technique to Improve Classic Genetic Algorithms' Performance. International Conference on Computational Intelligence Grigorios N. Beligiannis, Georgios A. Tsirogiannis, Panayiotis E. Pintelas
2003	B	`conf`	Preventing Student Dropout in Distance Learning Using Machine Learning Techniques. KES Sotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas
2002	J	`jnl`	A survey on student dropout rates and dropout causes concerning the students in the Course of Informatics of the Hellenic Open University. Comput. Educ. Michalis Nik Xenos, Christos Pierrakeas, Panayiotis E. Pintelas
2000	J	`jnl`	Design of Interactivity in Virtual Reality Applications with Emphasis on Educational Software Using Formal Interaction Specification. Educ. Inf. Technol. Costas N. Diplas, Panayiotis E. Pintelas
2000	J	`jnl`	EIKON: Teaching a high-school technology course with the aid of virtual reality. Educ. Inf. Technol. Achilles D. Kameas, Panayiotis E. Pintelas, Tassos A. Mikropoulos, Apostolos Katsikis, Anastassios Emvalotis
1998	J	`jnl`	Comparative study and categorization of high-level petri nets. J. Syst. Softw. Vassilis C. Gerogiannis, Achilles Kameas, Panayiotis E. Pintelas
1997	J	`jnl`	A hybrid expert system as an embedded module in tutoring systems. Digit. Creativity Ioannis D. Zaharakis, Achilles D. Kameas, Panayiotis E. Pintelas
1997	J	`jnl`	The Functional Architecture and Interaction Model of a GENerator of Intelligent TutORing Applications. J. Syst. Softw. Achilles Kameas, Panayiotis E. Pintelas
1997	—	`conf`	The interactive specification workspace: Specifying and designing the interaction issues of virtual reality training environments from within. DSV-IS Costas N. Diplas, Achilles Kameas, Panayiotis E. Pintelas
1996	J	`jnl`	ORIENTMAN: an intelligent tutor for the ORIENT software development methodology. Softw. Eng. J. Panos Fitsilis, Achilles Kameas, Panayiotis E. Pintelas
1994	J	`jnl`	MeT: The expert methodology tutor of GENITOR. Microprocess. Microprogramming Ioannis D. Zaharakis, Achilles D. Kameas, Panayiotis E. Pintelas
1993	J	`jnl`	IDFG: An interactive applications specification model with phenomenological properties. Microprocess. Microprogramming Achilles Kameas, Stergios Papadimitriou, Panayiotis E. Pintelas, Georgios Pavlides
1993	J	`jnl`	Modeling and design of the multimedia subsystem of a distributed authoring environment. Microprocess. Microprogramming Achilles Kameas, Stergios Papadimitriou, Panayiotis E. Pintelas
1992	J	`jnl`	A practical assessment of formal specification approaches for data abstractions. J. Syst. Softw. K. P. Ventouris, Panayiotis E. Pintelas
1991	J	`jnl`	A comparative study of five language independent programming environments. J. Syst. Softw. Panayiotis E. Pintelas, Spyros Tragoudas
1990	J	`jnl`	An environment for teaching "program design" by exercises. Microprocessing and Microprogramming Cyrille Comar, Panayiotis E. Pintelas
1989	J	`jnl`	A translator from Small Euclid to Pascal. ACM SIGPLAN Notices Panayiotis E. Pintelas, K. P. Ventouris, M. D. Papassimakopoulou
1989	J	`jnl`	An overview of some software design languages. J. Syst. Softw. Panayiotis E. Pintelas, Vasilios Kallistros
1988	J	`jnl`	A versatile Kernel proposal for a multimicroprocessor system environment. Microprocess. Microprogramming Mike P. Papazoglou, Panayiotis E. Pintelas
1980	J	`jnl`	An ALGOL 68 Package for Implementing Graph Algorithms. Comput. J. G. R. Garside, Panayiotis E. Pintelas
1976	—	`—`	An Algol 68R Package for Handling Sets and graphs. Panayiotis E. Pintelas