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Books and Theses
- 2012
[b1]Ioannis E. Livieris:
Μη γραμμικές μέθοδοι συζυγών κλίσεων για βελτιστοποίηση και εκπαίδευση νευρωνικών δικτύων. University of Patras, Greece, 2012
Journal Articles
- 2024
- [j48]Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas:
Adaptive augmentation framework for domain independent few shot learning. Knowl. Based Syst. 299: 112047 (2024) - [j47]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
- [j46]Panayiotis E. Pintelas
, Ioannis E. Livieris:
Special Issue on Ensemble Learning and/or Explainability. Algorithms 16(1): 49 (2023) - [j45]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) - [j44]Ioannis E. Livieris:
A novel forecasting strategy for improving the performance of deep learning models. Expert Syst. Appl. 230: 120632 (2023) - [j43]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) - [j42]Panagiotis E. Pintelas, Sotiris Kotsiantis, Ioannis E. Livieris:
Special Issue on Machine Learning and AI for Sensors. Sensors 23(5): 2770 (2023) - 2022
- [j41]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) - [j40]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
- [j39]Ioannis E. Livieris, Lazaros Iliadis, Panayiotis E. Pintelas:
On ensemble techniques of weight-constrained neural networks. Evol. Syst. 12(1): 155-167 (2021) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - 2020
- [j34]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) - [j33]Ioannis E. Livieris, Emmanuel Pintelas, Stavros Stavroyiannis, Panayiotis E. Pintelas:
Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series. Algorithms 13(5): 121 (2020) - [j32]Panagiotis E. Pintelas, Ioannis E. Livieris:
Special Issue on Ensemble Learning and Applications. Algorithms 13(6): 140 (2020) - [j31]Ioannis E. Livieris, Spiros D. Dafnis, George K. Papadopoulos, Dionissios P. Kalivas:
A Multiple-Input Neural Network Model for Predicting Cotton Production Quantity: A Case Study. Algorithms 13(11): 273 (2020) - [j30]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) - [j29]Andreas Kanavos, Ioannis E. Livieris:
Fuzzy Information Diffusion in Twitter by Considering User's Influence. Int. J. Artif. Intell. Tools 29(2): 2040003:1-2040003:22 (2020) - [j28]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) - [j27]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) - [j26]Ioannis E. Livieris, Panagiotis E. Pintelas:
An improved weight-constrained neural network training algorithm. Neural Comput. Appl. 32(9): 4177-4185 (2020) - [j25]Ioannis E. Livieris:
An advanced active set L-BFGS algorithm for training weight-constrained neural networks. Neural Comput. Appl. 32(11): 6669-6684 (2020) - [j24]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) - [j23]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) - 2019
- [j22]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) - [j21]Ioannis E. Livieris:
Forecasting Economy-Related Data Utilizing Weight-Constrained Recurrent Neural Networks. Algorithms 12(4): 85 (2019) - [j20]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) - [j19]Ioannis E. Livieris, Panagiotis E. Pintelas:
An adaptive nonmonotone active set - weight constrained - neural network training algorithm. Neurocomputing 360: 294-303 (2019) - [j18]Ioannis E. Livieris:
A New Ensemble Self-labeled Semi-supervised Algorithm. Informatica (Slovenia) 43(2) (2019) - [j17]Ioannis E. Livieris:
Improving the Classification Efficiency of an ANN Utilizing a New Training Methodology. Informatics 6(1): 1 (2019) - [j16]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) - [j15]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) - 2018
- [j14]Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas:
An Auto-Adjustable Semi-Supervised Self-Training Algorithm. Algorithms 11(9): 139 (2018) - [j13]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) - [j12]Spiros D. Dafnis, Andreas N. Philippou, Ioannis E. Livieris:
An identity relating Fibonacci and Lucas numbers of order k. Electron. Notes Discret. Math. 70: 37-42 (2018) - [j11]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) - [j10]Georgios Kostopoulos, Ioannis E. Livieris, Sotiris B. Kotsiantis, Vassilis Tampakas:
CST-Voting: A semi-supervised ensemble method for classification problems. J. Intell. Fuzzy Syst. 35(1): 99-109 (2018) - [j9]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) - [j8]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) - 2016
- [j7]Ioannis E. Livieris, Panagiotis E. Pintelas:
A limited memory descent Perry conjugate gradient method. Optim. Lett. 10(8): 1725-1742 (2016) - 2015
- [j6]Ioannis E. Livieris, Panagiotis E. Pintelas:
A new class of nonmonotone conjugate gradient training algorithms. Appl. Math. Comput. 266: 404-413 (2015) - [j5]Ioannis E. Livieris, Panagiotis E. Pintelas:
A modified Perry conjugate gradient method and its global convergence. Optim. Lett. 9(5): 999-1015 (2015) - 2013
- [j4]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) - [j3]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
- [j2]Ioannis E. Livieris, Panayiotis E. Pintelas:
Globally convergent modified Perry's conjugate gradient method. Appl. Math. Comput. 218(18): 9197-9207 (2012) - [j1]Ioannis E. Livieris, Panayiotis E. Pintelas:
An Improved spectral conjugate Gradient Neural Network Training Algorithm. Int. J. Artif. Intell. Tools 21(1) (2012)
Conference and Workshop Papers
- 2024
- [c23]Niki Kiriakidou, Ioannis E. Livieris, Christos Diou:
C-XGBoost: A Tree Boosting Model for Causal Effect Estimation. AIAI (3) 2024: 58-70 - [c22]Ioannis E. Livieris, Nikos Alimpertis, George Domalis, Dimitris Tsakalidis:
An Evaluation Framework for Synthetic Data Generation Models. AIAI (3) 2024: 320-335 - 2023
- [c21]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 - [c20]Ioannis E. Livieris, Nikos I. Karacapilidis, Georgios Domalis, Dimitris Tsakalidis:
An Advanced Explainable and Interpretable ML-Based Framework for Educational Data Mining. "MIS4TEL (Workshops) 2023: 87-96 - 2021
- [c19]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
- [c18]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 - [c17]Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Stavros Stavroyiannis:
An Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement. AIAI Workshops 2020: 165-176 - 2019
- [c16]Elias Dritsas, Gerasimos Vonitsanos, Ioannis E. Livieris, Andreas Kanavos, Aristidis Ilias, Christos Makris, Athanasios K. Tsakalidis:
Pre-processing Framework for Twitter Sentiment Classification. AIAI (Workshops) 2019: 138-149 - [c15]Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Gerasimos Vonitsanos, Vassilis Tampakas:
Employing Constrained Neural Networks for Forecasting New Product's Sales Increase. AIAI (Workshops) 2019: 161-172 - [c14]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
- [c13]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 - [c12]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 - [c11]Ioannis E. Livieris, Andreas Kanavos, Gerasimos Vonitsanos, Niki Kiriakidou, Anastasios Vikatos, Konstantinos C. Giotopoulos, Vassilis Tampakas:
Performance Evaluation of an SSL Algorithm for Forecasting the Dow Jones Index Stocks. IISA 2018: 1-8 - [c10]Elias Dritsas, Ioannis E. Livieris, Konstantinos C. Giotopoulos, Leonidas Theodorakopoulos:
An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter. PCI 2018: 255-260 - [c9]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 - [c8]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 - [c7]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
- [c6]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 - [c5]Georgios Kostopoulos, Ioannis E. Livieris, Sotiris Kotsiantis, Vassilis Tampakas:
Enhancing high school students' performance based on semi-supervised methods. IISA 2017: 1-6 - [c4]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 - 2009
- [c3]M. S. Apostolopoulou, Dimitris G. Sotiropoulos, Ioannis E. Livieris, Panagiotis E. Pintelas:
A memoryless BFGS neural network training algorithm. INDIN 2009: 216-221 - [c2]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 - [c1]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
Informal and Other Publications
- 2024
- [i3]Niki Kiriakidou, Ioannis E. Livieris, Christos Diou:
C-XGBoost: A tree boosting model for causal effect estimation. CoRR abs/2404.00751 (2024) - [i2]Ioannis E. Livieris, Nikos Alimpertis, George Domalis, Dimitris Tsakalidis:
An evaluation framework for synthetic data generation models. CoRR abs/2404.08866 (2024) - 2023
- [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)
Coauthor Index
Emmanuel Pintelas
aka: Emmanuel G. Pintelas
aka: Emmanuel G. Pintelas
Panayiotis E. Pintelas
aka: Panagiotis E. Pintelas
aka: Panagiotis E. Pintelas
[j48] [j47] [j46] [j45] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j30] [j28] [j27] [j26] [j24] [j23] [j22] [j20] [j19] [j16] [j15] [j14] [j13] [j11] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c21] [c19] [c18] [c14] [c13] [c12] [c9] [c8] [c7] [c6] [c4] [c3] [c2] [c1] [i1]
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