Ioannis E. Livieris
Orcid: 0000-0002-3996-3301
According to our database1,
Ioannis E. Livieris
authored at least 69 papers
between 2009 and 2023.
Collaborative distances:
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Bibliography
2023
Expert Syst. Appl., November, 2023
Comput. Vis. Image Underst., July, 2023
J. Imaging, 2023
An Advanced Explainable and Interpretable ML-Based Framework for Educational Data Mining.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops, 2023
A Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational Waves.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023
2022
A novel multi-step forecasting strategy for enhancing deep learning models' performance.
Neural Comput. Appl., 2022
A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index.
Evol. Syst., 2022
2021
A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets.
Sensors, 2021
A novel explainable image classification framework: case study on skin cancer and plant disease prediction.
Neural Comput. Appl., 2021
Smoothing and stationarity enforcement framework for deep learning time-series forecasting.
Neural Comput. Appl., 2021
Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques.
Medical Biol. Eng. Comput., 2021
An Autoencoder Convolutional Neural Network Framework for Sarcopenia Detection Based on Multi-frame Ultrasound Image Slices.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
2020
A novel validation framework to enhance deep learning models in time-series forecasting.
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
An advanced active set L-BFGS algorithm for training weight-constrained neural networks.
Neural Comput. Appl., 2020
Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction.
J. Imaging, 2020
Int. J. Medical Eng. Informatics, 2020
Int. J. Artif. Intell. Tools, 2020
Forecasting stock price index movement using a constrained deep neural network training algorithm.
Intell. Decis. Technol., 2020
A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability.
Algorithms, 2020
Algorithms, 2020
A Multiple-Input Neural Network Model for Predicting Cotton Production Quantity: A Case Study.
Algorithms, 2020
Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
An Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops, 2020
2019
Improving the evaluation process of students' performance utilizing a decision support software.
Neural Comput. Appl., 2019
Mach. Learn. Knowl. Extr., 2019
Improving the Classification Efficiency of an ANN Utilizing a New Training Methodology.
Informatics, 2019
An adaptive nonmonotone active set - weight constrained - neural network training algorithm.
Neurocomputing, 2019
A semi-supervised self-trained two-level algorithm for forecasting students' graduation time.
Intell. Decis. Technol., 2019
A Weighted Voting Ensemble Self-Labeled Algorithm for the Detection of Lung Abnormalities from X-Rays.
Algorithms, 2019
Forecasting Economy-Related Data Utilizing Weight-Constrained Recurrent Neural Networks.
Algorithms, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
2018
Numer. Algorithms, 2018
J. Imaging, 2018
J. Intell. Fuzzy Syst., 2018
Proceedings of the 1st Workshop on Behavioral Change and Ambient Intelligence for Sustainability, 2018
Electron. Notes Discret. Math., 2018
Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2018
Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2018
An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter.
Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018
Performance Evaluation of an SSL Algorithm for Forecasting the Dow Jones Index Stocks.
Proceedings of the 9th International Conference on Information, 2018
Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2018
Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2018
2017
Proceedings of the 21st Pan-Hellenic Conference on Informatics, 2017
Proceedings of the 8th International Conference on Information, 2017
Proceedings of the Engineering Applications of Neural Networks, 2017
2016
2015
Optim. Lett., 2015
Appl. Math. Comput., 2015
2013
A new class of spectral conjugate gradient methods based on a modified secant equation for unconstrained optimization.
J. Comput. Appl. Math., 2013
A new conjugate gradient algorithm for training neural networks based on a modified secant equation.
Appl. Math. Comput., 2013
2012
Μη γραμμικές μέθοδοι συζυγών κλίσεων για βελτιστοποίηση και εκπαίδευση νευρωνικών δικτύων
PhD thesis, 2012
Int. J. Artif. Intell. Tools, 2012
Appl. Math. Comput., 2012
2009
Proceedings of the PCI 2009, 2009
Proceedings of the PCI 2009, 2009
Proceedings of the 7th IEEE International Conference on Industrial Informatics, 2009