A memoryless BFGS neural network training algorithm. - M. S. Apostolopoulou; Dimitris G. Sotiropoulos; Ioannis E. Livieris; Panagiotis E. Pintelas (INDIN, 2009)

Classification of Large Biomedical Data Using ANNs Based on BFGS Method. - Ioannis E. Livieris; M. S. Apostolopoulou; Dimitris G. Sotiropoulos; Spyros Sioutas; Panayiotis E. Pintelas (Panhellenic Conference on Informatics, 2009)

On Descent Spectral CG Algorithms for Training Recurrent Neural Networks. - Ioannis E. Livieris; Dimitris G. Sotiropoulos; Panayiotis E. Pintelas (Panhellenic Conference on Informatics, 2009)

Globally convergent modified Perry's conjugate gradient method. - Ioannis E. Livieris; Panayiotis E. Pintelas (Appl. Math. Comput., 2012)

An Improved spectral conjugate Gradient Neural Network Training Algorithm. - Ioannis E. Livieris; Panayiotis E. Pintelas (Int. J. Artif. Intell. Tools, 2012)

Μη γραμμικές μέθοδοι συζυγών κλίσεων για βελτιστοποίηση και εκπαίδευση νευρωνικών δικτύων - Ioannis E. Livieris (2012)

A new conjugate gradient algorithm for training neural networks based on a modified secant equation. - Ioannis E. Livieris; Panayiotis E. Pintelas (Appl. Math. Comput., 2013)

A new class of spectral conjugate gradient methods based on a modified secant equation for unconstrained optimization. - Ioannis E. Livieris; Panayiotis E. Pintelas (J. Comput. Appl. Math., 2013)

A new class of nonmonotone conjugate gradient training algorithms. - Ioannis E. Livieris; Panagiotis E. Pintelas (Appl. Math. Comput., 2015)

A modified Perry conjugate gradient method and its global convergence. - Ioannis E. Livieris; Panagiotis E. Pintelas (Optim. Lett., 2015)

A limited memory descent Perry conjugate gradient method. - Ioannis E. Livieris; Panagiotis E. Pintelas (Optim. Lett., 2016)

DSS-PSP - A Decision Support Software for Evaluating Students' Performance. - Ioannis E. Livieris; Konstantina Drakopoulou; Thodoris Kotsilieris; Vassilis Tampakas; Panagiotis E. Pintelas (EANN, 2017)

Enhancing high school students' performance based on semi-supervised methods. - Georgios Kostopoulos; Ioannis E. Livieris; Sotiris Kotsiantis; Vassilis Tampakas (IISA, 2017)

A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update. - Ioannis E. Livieris; Stamatis Karlos; Vassilis Tampakas; Panagiotis E. Pintelas (PCI, 2017)

Predicting length of stay in hospitalized patients using SSL algorithms. - Ioannis E. Livieris; Ioannis F. Dimopoulos; Theodore Kotsilieris; Panagiotis E. Pintelas (DSAI, 2018)

A review of machine learning prediction methods for anxiety disorders. - Emmanuel G. Pintelas; Theodore Kotsilieris; Ioannis E. Livieris; Panagiotis E. Pintelas (DSAI, 2018)

Performance Evaluation of an SSL Algorithm for Forecasting the Dow Jones Index Stocks. - Ioannis E. Livieris; Andreas Kanavos; Gerasimos Vonitsanos; Niki Kiriakidou; Anastasios Vikatos; Konstantinos C. Giotopoulos; Vassilis Tampakas (IISA, 2018)

An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter. - Elias Dritsas; Ioannis E. Livieris; Konstantinos C. Giotopoulos; Leonidas Theodorakopoulos (PCI, 2018)

Forecasting Students' Performance Using an Ensemble SSL Algorithm. - Ioannis E. Livieris; Vassilis Tampakas; Niki Kiriakidou; Tassos A. Mikropoulos; Panagiotis E. Pintelas (TECH-EDU, 2018)

Prediction of Students' Graduation Time Using a Two-Level Classification Algorithm. - Vassilis Tampakas; Ioannis E. Livieris; Emmanuel Pintelas; Nikos I. Karacapilidis; Panagiotis E. Pintelas (TECH-EDU, 2018)

Decision Support Software for Forecasting Patient's Length of Stay. - Ioannis E. Livieris; Theodore Kotsilieris; Ioannis F. Dimopoulos; Panayiotis E. Pintelas (Algorithms, 2018)

An Auto-Adjustable Semi-Supervised Self-Training Algorithm. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panayiotis E. Pintelas (Algorithms, 2018)

An identity relating Fibonacci and Lucas numbers of order k. - Spiros D. Dafnis; Andreas N. Philippou; Ioannis E. Livieris (Electron. Notes Discret. Math., 2018)

Detecting Lung Abnormalities From X-rays Using an Improved SSL Algorithm. - Ioannis E. Livieris; Andreas Kanavos; Panagiotis E. Pintelas (BRAINS/WS-AFFIN@AmI, 2018)

On Ensemble SSL Algorithms for Credit Scoring Problem. - Ioannis E. Livieris; Niki Kiriakidou; Andreas Kanavos; Vassilis Tampakas; Panagiotis E. Pintelas (Informatics, 2018)

CST-Voting: A semi-supervised ensemble method for classification problems. - Georgios Kostopoulos; Ioannis E. Livieris; Sotiris B. Kotsiantis; Vassilis Tampakas (J. Intell. Fuzzy Syst., 2018)

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panayiotis E. Pintelas (J. Imaging, 2018)

A descent hybrid conjugate gradient method based on the memoryless BFGS update. - Ioannis E. Livieris; Vassilis Tampakas; Panayiotis E. Pintelas (Numer. Algorithms, 2018)

Pre-processing Framework for Twitter Sentiment Classification. - Elias Dritsas; Gerasimos Vonitsanos; Ioannis E. Livieris; Andreas Kanavos; Aristidis Ilias; Christos Makris 001; Athanasios K. Tsakalidis (AIAI (Workshops), 2019)

Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method. - Fotios Kounelis; Andreas Kanavos; Ioannis E. Livieris; Gerasimos Vonitsanos; Panagiotis E. Pintelas (AIAI (Workshops), 2019)

Employing Constrained Neural Networks for Forecasting New Product's Sales Increase. - Ioannis E. Livieris; Niki Kiriakidou; Andreas Kanavos; Gerasimos Vonitsanos; Vassilis Tampakas (AIAI (Workshops), 2019)

Forecasting Economy-Related Data Utilizing Weight-Constrained Recurrent Neural Networks. - Ioannis E. Livieris (Algorithms, 2019)

A Weighted Voting Ensemble Self-Labeled Algorithm for the Detection of Lung Abnormalities from X-Rays. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panagiotis E. Pintelas (Algorithms, 2019)

A semi-supervised self-trained two-level algorithm for forecasting students' graduation time. - Ioannis E. Livieris; Vassilis Tampakas; Nikos I. Karacapilidis; Panagiotis E. Pintelas (Intell. Decis. Technol., 2019)

An adaptive nonmonotone active set - weight constrained - neural network training algorithm. - Ioannis E. Livieris; Panagiotis E. Pintelas (Neurocomputing, 2019)

A New Ensemble Self-labeled Semi-supervised Algorithm. - Ioannis E. Livieris (Informatica (Slovenia), 2019)

Improving the Classification Efficiency of an ANN Utilizing a New Training Methodology. - Ioannis E. Livieris (Informatics, 2019)

Gender Recognition by Voice using an Improved Self-Labeled Algorithm. - Ioannis E. Livieris; Emmanuel Pintelas; Panagiotis E. Pintelas (Mach. Learn. Knowl. Extr., 2019)

Improving the evaluation process of students' performance utilizing a decision support software. - Ioannis E. Livieris; Theodore Kotsilieris; Vassilis Tampakas; Panayiotis E. Pintelas (Neural Comput. Appl., 2019)

An Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement. - Ioannis E. Livieris; Emmanuel Pintelas; Niki Kiriakidou; Stavros Stavroyiannis (AIAI (Workshops), 2020)

Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach. - Emmanuel Pintelas; Ioannis E. Livieris; Stavros Stavroyiannis; Theodore Kotsilieris; Panayiotis E. Pintelas (AIAI (2), 2020)

A Multiple-Input Neural Network Model for Predicting Cotton Production Quantity: A Case Study. - Ioannis E. Livieris; Spiros D. Dafnis; George K. Papadopoulos; Dionissios P. Kalivas (Algorithms, 2020)

Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series. - Ioannis E. Livieris; Emmanuel Pintelas; Stavros Stavroyiannis; Panayiotis E. Pintelas (Algorithms, 2020)

Special Issue on Ensemble Learning and Applications. - Panagiotis E. Pintelas; Ioannis E. Livieris (Algorithms, 2020)

A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability. - Emmanuel Pintelas; Ioannis E. Livieris; Panayiotis E. Pintelas (Algorithms, 2020)

Forecasting stock price index movement using a constrained deep neural network training algorithm. - Ioannis E. Livieris; Theodore Kotsilieris; Stavros Stavroyiannis; Panayiotis E. Pintelas (Intell. Decis. Technol., 2020)

Fuzzy Information Diffusion in Twitter by Considering User's Influence. - Andreas Kanavos; Ioannis E. Livieris (Int. J. Artif. Intell. Tools, 2020)

Predicting anxiety disorders and suicide tendency using machine learning: a review. - Theodore Kotsilieris; Emmanuel Pintelas; Ioannis E. Livieris; Panayiotis E. Pintelas (Int. J. Medical Eng. Informatics, 2020)

Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction. - Emmanuel Pintelas; Meletis Liaskos; Ioannis E. Livieris; Sotiris Kotsiantis; Panayiotis E. Pintelas (J. Imaging, 2020)

An advanced active set L-BFGS algorithm for training weight-constrained neural networks. - Ioannis E. Livieris (Neural Comput. Appl., 2020)

An improved weight-constrained neural network training algorithm. - Ioannis E. Livieris; Panagiotis E. Pintelas (Neural Comput. Appl., 2020)

A CNN-LSTM model for gold price time-series forecasting. - Ioannis E. Livieris; Emmanuel Pintelas; Panayiotis E. Pintelas (Neural Comput. Appl., 2020)

A novel validation framework to enhance deep learning models in time-series forecasting. - Ioannis E. Livieris; Stavros Stavroyiannis; Emmanuel Pintelas; Panayiotis E. Pintelas (Neural Comput. Appl., 2020)

An Autoencoder Convolutional Neural Network Framework for Sarcopenia Detection Based on Multi-frame Ultrasound Image Slices. - Emmanuel Pintelas; Ioannis E. Livieris; Nikolaos Barotsis; George Panayiotakis 001; Panagiotis E. Pintelas (AIAI, 2021)

On ensemble techniques of weight-constrained neural networks. - Ioannis E. Livieris; Lazaros Iliadis 001; Panayiotis E. Pintelas (Evol. Syst., 2021)

Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques. - Ioannis D. Apostolopoulos; Emmanuel G. Pintelas; Ioannis E. Livieris; Dimitris J. Apostolopoulos; Nikolaos D. Papathanasiou; Panagiotis E. Pintelas; George S. Panayiotakis (Medical Biol. Eng. Comput., 2021)

Smoothing and stationarity enforcement framework for deep learning time-series forecasting. - Ioannis E. Livieris; Stavros Stavroyiannis; Lazaros Iliadis 001; Panagiotis E. Pintelas (Neural Comput. Appl., 2021)

A novel explainable image classification framework: case study on skin cancer and plant disease prediction. - Emmanuel Pintelas; Meletis Liaskos; Ioannis E. Livieris; Sotiris Kotsiantis; Panagiotis E. Pintelas (Neural Comput. Appl., 2021)

A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets. - Emmanuel Pintelas; Ioannis E. Livieris; Panagiotis E. Pintelas (Sensors, 2021)

A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index. - Ioannis E. Livieris; Stavros Stavroyiannis; Emmanuel Pintelas; Theodore Kotsilieris; Panayiotis E. Pintelas (Evol. Syst., 2022)

A novel multi-step forecasting strategy for enhancing deep learning models' performance. - Ioannis E. Livieris; Panagiotis E. Pintelas (Neural Comput. Appl., 2022)

A Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational Waves. - Emmanuel Pintelas; Ioannis E. Livieris; Panagiotis E. Pintelas (AIAI (1), 2023)

An Advanced Explainable and Interpretable ML-Based Framework for Educational Data Mining. - Ioannis E. Livieris; Nikos I. Karacapilidis; Georgios Domalis; Dimitris Tsakalidis ("MIS4TEL (Workshops), 2023)

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. - Ioannis E. Livieris; Emmanuel Pintelas; Niki Kiriakidou; Panayiotis E. Pintelas (J. Imaging, 2023)

Special Issue on Ensemble Learning and/or Explainability. - Panayiotis E. Pintelas; Ioannis E. Livieris (Algorithms, 2023)

Special Issue on Machine Learning and AI for Sensors. - Panagiotis E. Pintelas; Sotiris Kotsiantis; Ioannis E. Livieris (Sensors, 2023)

A multi-view-CNN framework for deep representation learning in image classification. - Emmanuel Pintelas; Ioannis E. Livieris; Sotiris Kotsiantis; Panayiotis E. Pintelas (Comput. Vis. Image Underst., 2023)

A novel forecasting strategy for improving the performance of deep learning models. - Ioannis E. Livieris (Expert Syst. Appl., 2023)

C-XGBoost: A Tree Boosting Model for Causal Effect Estimation. - Niki Kiriakidou; Ioannis E. Livieris; Christos Diou (AIAI (3), 2024)

An Evaluation Framework for Synthetic Data Generation Models. - Ioannis E. Livieris; Nikos Alimpertis; George Domalis; Dimitris Tsakalidis (AIAI (3), 2024)

Earth Observation Data Management: A Knowledge Graph-Based Approach. - Georgios Domalis; Nikolaos Giarelis; Aris Gioutlakis; Nikos I. Karacapilidis; Ioannis E. Livieris; Dimitris Tsakalidis (KES-HCIS, 2024)

Adaptive augmentation framework for domain independent few shot learning. - Emmanuel Pintelas; Ioannis E. Livieris; Panayiotis E. Pintelas (Knowl. Based Syst., 2024)

Mutual information-based neighbor selection method for causal effect estimation. - Niki Kiriakidou; Ioannis E. Livieris; Panayiotis E. Pintelas (Neural Comput. Appl., 2024)

Convolutional neural network framework for deepfake detection: A diffusion-based approach. - Emmanuel Pintelas; Ioannis E. Livieris (Comput. Vis. Image Underst., 2025)

Feature augmentation-based CNN framework for skin-cancer diagnosis. - Emmanuel Pintelas; Ioannis E. Livieris; Vasilis Tampakas; Panayiotis E. Pintelas (Evol. Syst., 2025)

Researching the detection of continuous gravitational waves based on signal processing and ensemble learning. - Emmanuel Pintelas; Ioannis E. Livieris; Panayiotis E. Pintelas (Neural Comput. Appl., 2025)