Ioannis E. Livieris

Orcid: 0000-0002-3996-3301

According to our database1, Ioannis E. Livieris authored at least 73 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Mutual information-based neighbor selection method for causal effect estimation.
Neural Comput. Appl., June, 2024

Adaptive augmentation framework for domain independent few shot learning.
Knowl. Based Syst., 2024

An Evaluation Framework for Synthetic Data Generation Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

C-XGBoost: A Tree Boosting Model for Causal Effect Estimation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023
A novel forecasting strategy for improving the performance of deep learning models.
Expert Syst. Appl., November, 2023

A multi-view-CNN framework for deep representation learning in image classification.
Comput. Vis. Image Underst., July, 2023

Special Issue on Machine Learning and AI for Sensors.
Sensors, March, 2023

Special Issue on Ensemble Learning and/or Explainability.
Algorithms, January, 2023

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM.
J. Imaging, 2023

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM.
CoRR, 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

On ensemble techniques of weight-constrained neural networks.
Evol. Syst., 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

A CNN-LSTM model for gold price time-series forecasting.
Neural Comput. Appl., 2020

An improved weight-constrained neural network training algorithm.
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

Predicting anxiety disorders and suicide tendency using machine learning: a review.
Int. J. Medical Eng. Informatics, 2020

Fuzzy Information Diffusion in Twitter by Considering User's Influence.
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

Special Issue on Ensemble Learning and Applications.
Algorithms, 2020

Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series.
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

Gender Recognition by Voice using an Improved Self-Labeled Algorithm.
Mach. Learn. Knowl. Extr., 2019

Improving the Classification Efficiency of an ANN Utilizing a New Training Methodology.
Informatics, 2019

A New Ensemble Self-labeled Semi-supervised Algorithm.
Informatica (Slovenia), 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

Employing Constrained Neural Networks for Forecasting New Product's Sales Increase.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

Pre-processing Framework for Twitter Sentiment Classification.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018
A descent hybrid conjugate gradient method based on the memoryless BFGS update.
Numer. Algorithms, 2018

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification.
J. Imaging, 2018

CST-Voting: A semi-supervised ensemble method for classification problems.
J. Intell. Fuzzy Syst., 2018

On Ensemble SSL Algorithms for Credit Scoring Problem.
Informatics, 2018

Detecting Lung Abnormalities From X-rays Using an Improved SSL Algorithm.
Proceedings of the 1st Workshop on Behavioral Change and Ambient Intelligence for Sustainability, 2018

An identity relating Fibonacci and Lucas numbers of order <i>k</i>.
Electron. Notes Discret. Math., 2018

An Auto-Adjustable Semi-Supervised Self-Training Algorithm.
Algorithms, 2018

Decision Support Software for Forecasting Patient's Length of Stay.
Algorithms, 2018

Prediction of Students' Graduation Time Using a Two-Level Classification Algorithm.
Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2018

Forecasting Students' Performance Using an Ensemble SSL Algorithm.
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

A review of machine learning prediction methods for anxiety disorders.
Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2018

Predicting length of stay in hospitalized patients using SSL algorithms.
Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2018

2017
A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update.
Proceedings of the 21st Pan-Hellenic Conference on Informatics, 2017

Enhancing high school students' performance based on semi-supervised methods.
Proceedings of the 8th International Conference on Information, 2017

DSS-PSP - A Decision Support Software for Evaluating Students' Performance.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
A limited memory descent Perry conjugate gradient method.
Optim. Lett., 2016

2015
A modified Perry conjugate gradient method and its global convergence.
Optim. Lett., 2015

A new class of nonmonotone conjugate gradient training algorithms.
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

An Improved spectral conjugate Gradient Neural Network Training Algorithm.
Int. J. Artif. Intell. Tools, 2012

Globally convergent modified Perry's conjugate gradient method.
Appl. Math. Comput., 2012

2009
On Descent Spectral CG Algorithms for Training Recurrent Neural Networks.
Proceedings of the PCI 2009, 2009

Classification of Large Biomedical Data Using ANNs Based on BFGS Method.
Proceedings of the PCI 2009, 2009

A memoryless BFGS neural network training algorithm.
Proceedings of the 7th IEEE International Conference on Industrial Informatics, 2009


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