Ioannis E. Livieris

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 65

Top Topics

Conjugate Gradient

Image Classification

Top Venues

Neural Comput. Appl.

Publications

Ioannis E. Livieris, Nikos Alimpertis, George Domalis, Dimitris Tsakalidis
An evaluation framework for synthetic data generation models. CoRR (2024)
Niki Kiriakidou, Ioannis E. Livieris, Christos Diou
C-XGBoost: A tree boosting model for causal effect estimation. CoRR (2024)
Niki Kiriakidou, Ioannis E. Livieris, Panayiotis E. Pintelas
Mutual information-based neighbor selection method for causal effect estimation. Neural Comput. Appl. 36 (16) (2024)
Emmanuel Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas
Adaptive augmentation framework for domain independent few shot learning. Knowl. Based Syst. 299 (2024)
Niki Kiriakidou, Ioannis E. Livieris, Christos Diou
C-XGBoost: A Tree Boosting Model for Causal Effect Estimation. AIAI (3) (2024)
Ioannis E. Livieris, Nikos Alimpertis, George Domalis, Dimitris Tsakalidis
An Evaluation Framework for Synthetic Data Generation Models. AIAI (3) (2024)
Ioannis E. Livieris, Emmanuel G. Pintelas, Niki Kiriakidou, Panagiotis P. Pintelas
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. CoRR (2023)
Ioannis E. Livieris
A novel forecasting strategy for improving the performance of deep learning models. Expert Syst. Appl. 230 (2023)
Emmanuel G. Pintelas, Ioannis E. Livieris, Panagiotis P. Pintelas
A Deep Learning-Based Methodology for Detecting and Visualizing Continuous Gravitational Waves. AIAI (1) (2023)
Panayiotis E. Pintelas, Ioannis E. Livieris
Special Issue on Ensemble Learning and/or Explainability. Algorithms 16 (1) (2023)
Emmanuel G. 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 (2023)
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)
Panagiotis E. Pintelas, Sotiris Kotsiantis, Ioannis E. Livieris
Special Issue on Machine Learning and AI for Sensors. Sensors 23 (5) (2023)
Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou, Panayiotis E. Pintelas
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. J. Imaging 9 (10) (2023)
Ioannis E. Livieris, Stavros Stavroyiannis, Emmanuel G. 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) (2022)
Ioannis E. Livieris, Panagiotis P. Pintelas
A novel multi-step forecasting strategy for enhancing deep learning models' performance. Neural Comput. Appl. 34 (22) (2022)
Emmanuel G. Pintelas, Ioannis E. Livieris, Panagiotis E. Pintelas
A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets. Sensors 21 (22) (2021)
Ioannis E. Livieris, Lazaros Iliadis, Panayiotis E. Pintelas
On ensemble techniques of weight-constrained neural networks. Evol. Syst. 12 (1) (2021)
Emmanuel G. 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)
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) (2021)
Emmanuel G. 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) (2021)
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) (2021)
Emmanuel G. 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) (2020)
Ioannis E. Livieris, Emmanuel G. Pintelas, Niki Kiriakidou, Stavros Stavroyiannis
An Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement. AIAI Workshops (2020)
Emmanuel G. 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)
Ioannis E. Livieris
An advanced active set L-BFGS algorithm for training weight-constrained neural networks. Neural Comput. Appl. 32 (11) (2020)
Emmanuel G. Pintelas, Ioannis E. Livieris, Panayiotis E. Pintelas
A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability. Algorithms 13 (1) (2020)
Panagiotis E. Pintelas, Ioannis E. Livieris
Special Issue on Ensemble Learning and Applications. Algorithms 13 (6) (2020)
Ioannis E. Livieris, Panagiotis E. Pintelas
An improved weight-constrained neural network training algorithm. Neural Comput. Appl. 32 (9) (2020)
Ioannis E. Livieris, Emmanuel G. Pintelas, Stavros Stavroyiannis, Panayiotis E. Pintelas
Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series. Algorithms 13 (5) (2020)
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) (2020)
Ioannis E. Livieris, Stavros Stavroyiannis, Emmanuel G. Pintelas, Panayiotis E. Pintelas
A novel validation framework to enhance deep learning models in time-series forecasting. Neural Comput. Appl. 32 (23) (2020)
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) (2020)
Andreas Kanavos, Ioannis E. Livieris
Fuzzy Information Diffusion in Twitter by Considering User's Influence. Int. J. Artif. Intell. Tools 29 (2) (2020)
Theodore Kotsilieris, Emmanuel G. 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) (2020)
Ioannis E. Livieris, Emmanuel G. Pintelas, Panayiotis E. Pintelas
A CNN-LSTM model for gold price time-series forecasting. Neural Comput. Appl. 32 (23) (2020)
Ioannis E. Livieris, Emmanuel G. Pintelas, Panagiotis E. Pintelas
Gender Recognition by Voice using an Improved Self-Labeled Algorithm. Mach. Learn. Knowl. Extr. 1 (1) (2019)
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) (2019)
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)
Ioannis E. Livieris
Forecasting Economy-Related Data Utilizing Weight-Constrained Recurrent Neural Networks. Algorithms 12 (4) (2019)
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) (2019)
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)
Ioannis E. Livieris
Improving the Classification Efficiency of an ANN Utilizing a New Training Methodology. Informatics 6 (1) (2019)
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) (2019)
Ioannis E. Livieris, Panagiotis E. Pintelas
An adaptive nonmonotone active set - weight constrained - neural network training algorithm. Neurocomputing 360 (2019)
Ioannis E. Livieris
A New Ensemble Self-labeled Semi-supervised Algorithm. Informatica (Slovenia) 43 (2) (2019)
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)
Ioannis E. Livieris, Ioannis F. Dimopoulos, Theodore Kotsilieris, Panagiotis E. Pintelas
Predicting length of stay in hospitalized patients using SSL algorithms. DSAI (2018)
Ioannis E. Livieris, Vassilis Tampakas, Niki Kiriakidou, Tassos A. Mikropoulos, Panagiotis E. Pintelas
Forecasting Students' Performance Using an Ensemble SSL Algorithm. TECH-EDU (2018)
Vassilis Tampakas, Ioannis E. Livieris, Emmanuel G. Pintelas, Nikos I. Karacapilidis, Panagiotis P. Pintelas
Prediction of Students' Graduation Time Using a Two-Level Classification Algorithm. TECH-EDU (2018)
Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas
An Auto-Adjustable Semi-Supervised Self-Training Algorithm. Algorithms 11 (9) (2018)
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)
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) (2018)
Emmanuel G. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, Panagiotis E. Pintelas
A review of machine learning prediction methods for anxiety disorders. DSAI (2018)
Elias Dritsas, Ioannis E. Livieris, Konstantinos C. Giotopoulos, Leonidas Theodorakopoulos
An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter. PCI (2018)
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) (2018)
Spiros D. Dafnis, Andreas N. Philippou, Ioannis E. Livieris
. Electron. Notes Discret. Math. 70 (2018)
Ioannis E. Livieris, Andreas Kanavos, Panagiotis E. Pintelas
Detecting Lung Abnormalities From X-rays Using an Improved SSL Algorithm. BRAINS/WS-AFFIN@AmI (2018)
Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas
On Ensemble SSL Algorithms for Credit Scoring Problem. Informatics 5 (4) (2018)
Ioannis E. Livieris, Theodore Kotsilieris, Ioannis F. Dimopoulos, Panayiotis E. Pintelas
Decision Support Software for Forecasting Patient's Length of Stay. Algorithms 11 (12) (2018)
Ioannis E. Livieris, Vassilis Tampakas, Panayiotis E. Pintelas
A descent hybrid conjugate gradient method based on the memoryless BFGS update. Numer. Algorithms 79 (4) (2018)
Ioannis E. Livieris, Konstantina Drakopoulou, Thodoris Kotsilieris, Vassilis Tampakas, Panagiotis E. Pintelas
DSS-PSP - A Decision Support Software for Evaluating Students' Performance. EANN (2017)
Georgios Kostopoulos, Ioannis E. Livieris, Sotiris Kotsiantis, Vassilis Tampakas
Enhancing high school students' performance based on semi-supervised methods. IISA (2017)
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)
Ioannis E. Livieris, Panagiotis E. Pintelas
A limited memory descent Perry conjugate gradient method. Optim. Lett. 10 (8) (2016)
Ioannis E. Livieris, Panagiotis E. Pintelas
A modified Perry conjugate gradient method and its global convergence. Optim. Lett. 9 (5) (2015)
Ioannis E. Livieris, Panagiotis E. Pintelas
A new class of nonmonotone conjugate gradient training algorithms. Appl. Math. Comput. 266 (2015)
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 (2013)
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 (2013)
Ioannis E. Livieris, Panayiotis E. Pintelas
An Improved spectral conjugate Gradient Neural Network Training Algorithm. Int. J. Artif. Intell. Tools 21 (1) (2012)
Ioannis E. Livieris, Panayiotis E. Pintelas
Globally convergent modified Perry's conjugate gradient method. Appl. Math. Comput. 218 (18) (2012)
M. S. Apostolopoulou, D. G. Sotiropoulos, Ioannis E. Livieris, Panagiotis P. Pintelas
A memoryless BFGS neural network training algorithm. INDIN (2009)
Ioannis E. Livieris, D. G. Sotiropoulos, Panayiotis E. Pintelas
On Descent Spectral CG Algorithms for Training Recurrent Neural Networks. Panhellenic Conference on Informatics (2009)
Ioannis E. Livieris, M. S. Apostolopoulou, D. G. Sotiropoulos, Spyros Sioutas, Panayiotis E. Pintelas
Classification of Large Biomedical Data Using ANNs Based on BFGS Method. Panhellenic Conference on Informatics (2009)