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2020 – today
- 2024
[j68]Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas:
Adaptive augmentation framework for domain independent few shot learning. Knowl. Based Syst. 299: 112047 (2024)- [j67]Niki Kiriakidou, Ioannis E. Livieris, Panayiotis E. Pintelas:
Mutual information-based neighbor selection method for causal effect estimation. Neural Comput. Appl. 36(16): 9141-9155 (2024) - 2023
- [j66]Panayiotis E. Pintelas
, Ioannis E. Livieris:
Special Issue on Ensemble Learning and/or Explainability. Algorithms 16(1): 49 (2023) - [j65]Annwesha Banerjee Majumder, Somsubhra Gupta, Dharmpal Singh, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos, Panayiotis E. Pintelas:
Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers. Algorithms 16(12): 538 (2023) - [j64]Emmanuel Pintelas, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas:
A multi-view-CNN framework for deep representation learning in image classification. Comput. Vis. Image Underst. 232: 103687 (2023) - [j63]Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Panayiotis E. Pintelas:
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. J. Imaging 9(10): 224 (2023) - [j62]Panagiotis E. Pintelas, Sotiris Kotsiantis, Ioannis E. Livieris:
Special Issue on Machine Learning and AI for Sensors. Sensors 23(5): 2770 (2023) - [c39]Emmanuel Pintelas, Ioannis E. Livieris, Panagiotis E. Pintelas:
A Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational Waves. AIAI (1) 2023: 3-14 - [i1]Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Panagiotis E. Pintelas:
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. CoRR abs/2310.07678 (2023) - 2022
- [j61]Emmanuel Pintelas, Panayiotis E. Pintelas:
A 3D-CAE-CNN model for Deep Representation Learning of 3D images. Eng. Appl. Artif. Intell. 113: 104978 (2022) - [j60]Ioannis E. Livieris, Stavros Stavroyiannis, Emmanuel Pintelas, Theodore Kotsilieris, Panayiotis E. Pintelas:
A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index. Evol. Syst. 13(1): 85-100 (2022) - [j59]Ioannis E. Livieris, Panagiotis E. Pintelas:
A novel multi-step forecasting strategy for enhancing deep learning models' performance. Neural Comput. Appl. 34(22): 19453-19470 (2022) - 2021
- [j58]Ioannis E. Livieris, Lazaros Iliadis, Panayiotis E. Pintelas:
On ensemble techniques of weight-constrained neural networks. Evol. Syst. 12(1): 155-167 (2021) - [j57]Ioannis D. Apostolopoulos, Emmanuel G. Pintelas, Ioannis E. Livieris, Dimitris J. Apostolopoulos, Nikolaos D. Papathanasiou, Panagiotis E. Pintelas, George S. Panayiotakis:
Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques. Medical Biol. Eng. Comput. 59(6): 1299-1310 (2021) - [j56]Ioannis E. Livieris, Stavros Stavroyiannis, Lazaros Iliadis, Panagiotis E. Pintelas:
Smoothing and stationarity enforcement framework for deep learning time-series forecasting. Neural Comput. Appl. 33(20): 14021-14035 (2021) - [j55]Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panagiotis E. Pintelas:
A novel explainable image classification framework: case study on skin cancer and plant disease prediction. Neural Comput. Appl. 33(22): 15171-15189 (2021) - [j54]Emmanuel Pintelas, Ioannis E. Livieris, Panagiotis E. Pintelas:
A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets. Sensors 21(22): 7731 (2021) - [c38]Emmanuel Pintelas, Ioannis E. Livieris, Nikolaos Barotsis, George Panayiotakis, Panagiotis E. Pintelas:
An Autoencoder Convolutional Neural Network Framework for Sarcopenia Detection Based on Multi-frame Ultrasound Image Slices. AIAI 2021: 209-219 - 2020
- [j53]Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas:
A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability. Algorithms 13(1): 17 (2020) - [j52]Ioannis E. Livieris, Emmanuel Pintelas, Stavros Stavroyiannis, Panayiotis E. Pintelas:
Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series. Algorithms 13(5): 121 (2020) - [j51]Panagiotis E. Pintelas, Ioannis E. Livieris:
Special Issue on Ensemble Learning and Applications. Algorithms 13(6): 140 (2020) - [j50]Ioannis E. Livieris, Theodore Kotsilieris, Stavros Stavroyiannis, Panayiotis E. Pintelas:
Forecasting stock price index movement using a constrained deep neural network training algorithm. Intell. Decis. Technol. 14(3): 313-323 (2020) - [j49]Theodore Kotsilieris, Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas:
Predicting anxiety disorders and suicide tendency using machine learning: a review. Int. J. Medical Eng. Informatics 12(6): 599-608 (2020) - [j48]Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panayiotis E. Pintelas:
Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction. J. Imaging 6(6): 37 (2020) - [j47]Ioannis E. Livieris, Panagiotis E. Pintelas:
An improved weight-constrained neural network training algorithm. Neural Comput. Appl. 32(9): 4177-4185 (2020) - [j46]Ioannis E. Livieris, Stavros Stavroyiannis, Emmanuel Pintelas, Panayiotis E. Pintelas:
A novel validation framework to enhance deep learning models in time-series forecasting. Neural Comput. Appl. 32(23): 17149-17167 (2020) - [j45]Ioannis E. Livieris, Emmanuel Pintelas, Panayiotis E. Pintelas:
A CNN-LSTM model for gold price time-series forecasting. Neural Comput. Appl. 32(23): 17351-17360 (2020) - [c37]Emmanuel Pintelas, Ioannis E. Livieris, Stavros Stavroyiannis, Theodore Kotsilieris, Panayiotis E. Pintelas:
Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach. AIAI (2) 2020: 99-110
2010 – 2019
- 2019
- [j44]Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas:
A Weighted Voting Ensemble Self-Labeled Algorithm for the Detection of Lung Abnormalities from X-Rays. Algorithms 12(3): 64 (2019) - [j43]Ioannis E. Livieris, Vassilis Tampakas, Nikos I. Karacapilidis, Panagiotis E. Pintelas:
A semi-supervised self-trained two-level algorithm for forecasting students' graduation time. Intell. Decis. Technol. 13(3): 367-378 (2019) - [j42]Ioannis E. Livieris, Panagiotis E. Pintelas:
An adaptive nonmonotone active set - weight constrained - neural network training algorithm. Neurocomputing 360: 294-303 (2019) - [j41]Ioannis E. Livieris, Emmanuel Pintelas, Panagiotis E. Pintelas:
Gender Recognition by Voice using an Improved Self-Labeled Algorithm. Mach. Learn. Knowl. Extr. 1(1): 492-503 (2019) - [j40]Ioannis E. Livieris, Theodore Kotsilieris, Vassilis Tampakas, Panayiotis E. Pintelas:
Improving the evaluation process of students' performance utilizing a decision support software. Neural Comput. Appl. 31(6): 1683-1694 (2019) - [c36]Fotios Kounelis, Andreas Kanavos, Ioannis E. Livieris, Gerasimos Vonitsanos, Panagiotis E. Pintelas:
Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method. AIAI (Workshops) 2019: 232-241 - 2018
- [j39]Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas:
An Auto-Adjustable Semi-Supervised Self-Training Algorithm. Algorithms 11(9): 139 (2018) - [j38]Ioannis E. Livieris, Theodore Kotsilieris, Ioannis F. Dimopoulos, Panayiotis E. Pintelas:
Decision Support Software for Forecasting Patient's Length of Stay. Algorithms 11(12): 199 (2018) - [j37]Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas:
On Ensemble SSL Algorithms for Credit Scoring Problem. Informatics 5(4): 40 (2018) - [j36]Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas:
An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification. J. Imaging 4(7): 95 (2018) - [j35]Ioannis E. Livieris, Vassilis Tampakas, Panayiotis E. Pintelas:
A descent hybrid conjugate gradient method based on the memoryless BFGS update. Numer. Algorithms 79(4): 1169-1185 (2018) - [c35]Emmanuel G. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, Panagiotis E. Pintelas:
A review of machine learning prediction methods for anxiety disorders. DSAI 2018: 8-15 - [c34]Ioannis E. Livieris, Ioannis F. Dimopoulos, Theodore Kotsilieris, Panagiotis E. Pintelas:
Predicting length of stay in hospitalized patients using SSL algorithms. DSAI 2018: 16-22 - [c33]Vassilis Tampakas, Ioannis E. Livieris, Emmanuel Pintelas, Nikos I. Karacapilidis, Panagiotis E. Pintelas:
Prediction of Students' Graduation Time Using a Two-Level Classification Algorithm. TECH-EDU 2018: 553-565 - [c32]Ioannis E. Livieris, Vassilis Tampakas, Niki Kiriakidou, Tassos A. Mikropoulos, Panagiotis E. Pintelas:
Forecasting Students' Performance Using an Ensemble SSL Algorithm. TECH-EDU 2018: 566-581 - [c31]Ioannis E. Livieris, Andreas Kanavos, Panagiotis E. Pintelas:
Detecting Lung Abnormalities From X-rays Using an Improved SSL Algorithm. BRAINS/WS-AFFIN@AmI 2018: 19-33 - 2017
- [c30]Ioannis E. Livieris, Konstantina Drakopoulou, Thodoris Kotsilieris, Vassilis Tampakas, Panagiotis E. Pintelas:
DSS-PSP - A Decision Support Software for Evaluating Students' Performance. EANN 2017: 63-74 - [c29]Ioannis E. Livieris, Stamatis Karlos, Vassilis Tampakas, Panagiotis E. Pintelas:
A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update. PCI 2017: 21:1-21:5 - 2016
- [j34]Ioannis E. Livieris, Panagiotis E. Pintelas:
A limited memory descent Perry conjugate gradient method. Optim. Lett. 10(8): 1725-1742 (2016) - 2015
- [j33]Ioannis E. Livieris, Panagiotis E. Pintelas:
A new class of nonmonotone conjugate gradient training algorithms. Appl. Math. Comput. 266: 404-413 (2015) - [j32]Ioannis E. Livieris, Panagiotis E. Pintelas:
A modified Perry conjugate gradient method and its global convergence. Optim. Lett. 9(5): 999-1015 (2015) - [c28]Georgios Kostopoulos, Sotiris B. Kotsiantis, Panagiotis E. Pintelas:
Predicting Student Performance in Distance Higher Education Using Semi-supervised Techniques. MEDI 2015: 259-270 - [c27]Georgios Kostopoulos, Sotiris B. Kotsiantis, Panagiotis E. Pintelas:
Estimating student dropout in distance higher education using semi-supervised techniques. Panhellenic Conference on Informatics 2015: 38-43 - 2013
- [j31]Ioannis E. Livieris, Panayiotis E. Pintelas:
A new conjugate gradient algorithm for training neural networks based on a modified secant equation. Appl. Math. Comput. 221: 491-502 (2013) - [j30]Ioannis E. Livieris, Panayiotis E. Pintelas:
A new class of spectral conjugate gradient methods based on a modified secant equation for unconstrained optimization. J. Comput. Appl. Math. 239: 396-405 (2013) - 2012
- [j29]Ioannis E. Livieris, Panayiotis E. Pintelas:
Globally convergent modified Perry's conjugate gradient method. Appl. Math. Comput. 218(18): 9197-9207 (2012) - [j28]Ioannis E. Livieris, Panayiotis E. Pintelas:
An Improved spectral conjugate Gradient Neural Network Training Algorithm. Int. J. Artif. Intell. Tools 21(1) (2012) - 2011
- [j27]Dimitris Kanellopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
Intelligent Systems and Knowledge Management (Part II). J. Comput. Methods Sci. Eng. 11(3): 89-90 (2011) - [j26]M. S. Apostolopoulou, Dimitris G. Sotiropoulos, C. A. Botsaris, Panayiotis E. Pintelas:
A practical method for solving large-scale TRS. Optim. Lett. 5(2): 207-227 (2011)
2000 – 2009
- 2009
- [j25]Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
Selective costing ensemble for handling imbalanced data sets. Int. J. Hybrid Intell. Syst. 6(3): 123-133 (2009) - [c26]M. S. Apostolopoulou, Dimitris G. Sotiropoulos, Ioannis E. Livieris, Panagiotis E. Pintelas:
A memoryless BFGS neural network training algorithm. INDIN 2009: 216-221 - [c25]Ioannis E. Livieris, Dimitris G. Sotiropoulos, Panayiotis E. Pintelas:
On Descent Spectral CG Algorithms for Training Recurrent Neural Networks. Panhellenic Conference on Informatics 2009: 65-69 - [c24]Ioannis E. Livieris, M. S. Apostolopoulou, Dimitris G. Sotiropoulos, Spyros Sioutas, Panayiotis E. Pintelas:
Classification of Large Biomedical Data Using ANNs Based on BFGS Method. Panhellenic Conference on Informatics 2009: 87-91 - 2008
- [j24]M. S. Apostolopoulou, Dimitris G. Sotiropoulos, Panayiotis E. Pintelas:
Solving the quadratic trust-region subproblem in a low-memory BFGS framework. Optim. Methods Softw. 23(5): 651-674 (2008) - [c23]Christos T. Rodosthenous, Achilles Kameas, Panayiotis E. Pintelas:
Diplek: an open educational Platform that supports the composition of learning, management and communication services. EIAT/IETA 2008: 321-326 - 2007
- [c22]D. Anyfantis, M. Karagiannopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
Robustness of learning techniques in handling class noise in imbalanced datasets. AIAI 2007: 21-28 - [c21]M. Karagiannopoulos, D. Anyfantis, Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
A Wrapper for Reweighting Training Instances for Handling Imbalanced Data Sets. AIAI 2007: 29-36 - 2006
- [j23]Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panayiotis E. Pintelas:
Machine learning: a review of classification and combining techniques. Artif. Intell. Rev. 26(3): 159-190 (2006) - [j22]Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas:
Local Boosting of Decision Stumps for Regression and Classification Problems. J. Comput. 1(4): 30-37 (2006) - [c20]Dimitris Kanellopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
Ontology-based Learning Applications: A Development Methodology. IASTED Conf. on Software Engineering 2006: 27-32 - [c19]Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas:
Local Additive Regression of Decision Stumps. SETN 2006: 148-157 - 2005
- [j21]Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
Logitboost of Simple Bayesian Classifier. Informatica (Slovenia) 29(1): 53-60 (2005) - [j20]Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
Local voting of weak classifiers. Int. J. Knowl. Based Intell. Eng. Syst. 9(3): 239-248 (2005) - [c18]Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
Predicting Students' Marks in Hellenic Open University. ICALT 2005: 664-668 - [c17]Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas:
Local Bagging of Decision Stumps. IEA/AIE 2005: 406-411 - [c16]George E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panayiotis E. Pintelas:
A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data. IEA/AIE 2005: 705-708 - [c15]Sotiris B. Kotsiantis, George E. Tsekouras, C. Raptis, Panayiotis E. Pintelas:
Modeling the Organoleptic Properties of Matured Wine Distillates. MLDM 2005: 667-673 - [c14]Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas:
Bagging Random Trees for Estimation of Tissue Softness. MLDM 2005: 674-681 - [c13]Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas:
Bagging Model Trees for Classification Problems. Panhellenic Conference on Informatics 2005: 328-337 - 2004
- [j19]Sotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas:
Predicting Students' Performance In Distance Learning Using Machine Learning Techniques. Appl. Artif. Intell. 18(5): 411-426 (2004) - [j18]Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
A decision support prototype tool for predicting student performance in an ODL environment. Interact. Technol. Smart Educ. 1(4): 253-264 (2004) - [c12]Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
Bagged Voting Ensembles. AIMSA 2004: 168-177 - [c11]Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
Increasing the Classification Accuracy of Simple Bayesian Classifier. AIMSA 2004: 198-207 - [c10]Tasos Triantis, Panayiotis E. Pintelas:
An Integrated Environment for Building Distributed Multi-agent Educational Applications. AIMSA 2004: 351-360 - [c9]Anastasios Triantis, Panayiotis E. Pintelas:
A Mobile Multi Agent Architecture for Web Based Learning. ICALT 2004 - [c8]Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
A Hybrid Decision Support Tool - Using Ensemble of Classifiers. ICEIS (2) 2004: 448-456 - [c7]Grigorios N. Beligiannis, Georgios A. Tsirogiannis, Panayiotis E. Pintelas:
"Intuition" Operator: Providing Genomes with Reason. International Conference on Computational Intelligence 2004: 65-68 - [c6]George E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panayiotis E. Pintelas:
Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data. International Conference on Computational Intelligence 2004: 202-206 - [c5]Grigorios N. Beligiannis, Georgios A. Tsirogiannis, Panayiotis E. Pintelas:
Restartings: A Technique to Improve Classic Genetic Algorithms' Performance. International Conference on Computational Intelligence 2004: 404-407 - [c4]Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
An Online Ensemble of Classifiers. PRIS 2004: 59-68 - [c3]Sotiris B. Kotsiantis, Panayiotis E. Pintelas:
A Cost Sensitive Technique for Ordinal Classification Problems. SETN 2004: 220-229 - 2003
- [c2]Sotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas:
Preventing Student Dropout in Distance Learning Using Machine Learning Techniques. KES 2003: 267-274 - 2002
- [j17]Michalis Nik Xenos, Christos Pierrakeas, Panayiotis E. Pintelas:
A survey on student dropout rates and dropout causes concerning the students in the Course of Informatics of the Hellenic Open University. Comput. Educ. 39(4): 361-377 (2002) - 2000
- [j16]Costas N. Diplas, Panayiotis E. Pintelas:
Design of Interactivity in Virtual Reality Applications with Emphasis on Educational Software Using Formal Interaction Specification. Educ. Inf. Technol. 5(4): 291-304 (2000) - [j15]Achilles D. Kameas, Panayiotis E. Pintelas, Tassos A. Mikropoulos, Apostolos Katsikis, Anastassios Emvalotis:
EIKON: Teaching a high-school technology course with the aid of virtual reality. Educ. Inf. Technol. 5(4): 305-315 (2000)
1990 – 1999
- 1998
- [j14]Vassilis C. Gerogiannis, Achilles Kameas, Panayiotis E. Pintelas:
Comparative study and categorization of high-level petri nets. J. Syst. Softw. 43(2): 133-160 (1998) - 1997
- [j13]Ioannis D. Zaharakis, Achilles D. Kameas, Panayiotis E. Pintelas:
A hybrid expert system as an embedded module in tutoring systems. Digit. Creativity 8(2): 47-58 (1997) - [j12]Achilles Kameas, Panayiotis E. Pintelas:
The Functional Architecture and Interaction Model of a GENerator of Intelligent TutORing Applications. J. Syst. Softw. 36(3): 233-245 (1997) - [c1]Costas N. Diplas, Achilles Kameas, Panayiotis E. Pintelas:
The interactive specification workspace: Specifying and designing the interaction issues of virtual reality training environments from within. DSV-IS 1997: 241-256 - 1996
- [j11]Panos Fitsilis, Achilles Kameas, Panayiotis E. Pintelas:
ORIENTMAN: an intelligent tutor for the ORIENT software development methodology. Softw. Eng. J. 11(4): 206-214 (1996) - 1994
- [j10]Ioannis D. Zaharakis, Achilles D. Kameas, Panayiotis E. Pintelas:
MeT: The expert methodology tutor of GENITOR. Microprocess. Microprogramming 40(10-12): 855-860 (1994) - 1993
- [j9]Achilles Kameas, Stergios Papadimitriou, Panayiotis E. Pintelas, Georgios Pavlides:
IDFG: An interactive applications specification model with phenomenological properties. Microprocess. Microprogramming 38(1-5): 615-623 (1993) - [j8]Achilles Kameas, Stergios Papadimitriou, Panayiotis E. Pintelas:
Modeling and design of the multimedia subsystem of a distributed authoring environment. Microprocess. Microprogramming 38(1-5): 669-678 (1993) - 1992
- [j7]K. P. Ventouris, Panayiotis E. Pintelas:
A practical assessment of formal specification approaches for data abstractions. J. Syst. Softw. 17(2): 169-188 (1992) - 1991
- [j6]Panayiotis E. Pintelas, Spyros Tragoudas:
A comparative study of five language independent programming environments. J. Syst. Softw. 14(1): 3-15 (1991) - 1990
- [j5]Cyrille Comar, Panayiotis E. Pintelas:
An environment for teaching "program design" by exercises. Microprocessing and Microprogramming 28(1-5): 259-264 (1990)
1980 – 1989
- 1989
- [j4]Panayiotis E. Pintelas, Vasilios Kallistros:
An overview of some software design languages. J. Syst. Softw. 10(2): 125-138 (1989) - [j3]Panayiotis E. Pintelas, K. P. Ventouris, M. D. Papassimakopoulou:
A translator from Small Euclid to Pascal. ACM SIGPLAN Notices 24(5): 93-101 (1989) - 1988
- [j2]Mike P. Papazoglou, Panayiotis E. Pintelas:
A versatile Kernel proposal for a multimicroprocessor system environment. Microprocess. Microprogramming 22(1): 11-21 (1988) - 1980
- [j1]G. R. Garside, Panayiotis E. Pintelas:
An ALGOL 68 Package for Implementing Graph Algorithms. Comput. J. 23(3): 237-242 (1980)
1970 – 1979
- 1976
- [b1]Panayiotis E. Pintelas:
An Algol 68R Package for Handling Sets and graphs. University of Bradford, UK, 1976
Coauthor Index
Sotiris B. Kotsiantis
aka: Sotiris Kotsiantis
aka: Sotiris Kotsiantis
Theodore Kotsilieris
aka: Thodoris Kotsilieris
aka: Thodoris Kotsilieris
[j68] [j67] [j66] [j64] [j63] [j62] [c39] [i1] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [c38] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [c37] [j44] [j43] [j42] [j41] [j40] [c36] [j39] [j38] [j37] [j36] [j35] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [c26] [c25] [c24]
Emmanuel Pintelas
aka: Emmanuel G. Pintelas
aka: Emmanuel G. Pintelas
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