Leonard Ionescu

According to our database, Leonard Ionescu authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation.

Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Alina-Maria Garau, Cristina-Camelia Ghitescu

Proceedings of the 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2023

Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs.

Catalin Stoean, Nebojsa Bacanin, Zeev Volkovich, Leonard Ionescu, Ruxandra Stoean

Proceedings of the Advances in Computational Intelligence, 2023

2022

On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs.

Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Cristian Daniel Alecsa, Mircea Hotoleanu, Miguel A. Atencia Ruiz, Gonzalo Joya

Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022

Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts.

Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021

Semantic Segmentation for Corrosion Detection in Archaeological Artefacts before Restoration.

Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu

Proceedings of the 23rd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2021

A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration.

Ruxandra Stoean, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, Gonzalo Joya

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

A Convolutional Neural Network as a Proxy for the XRF Approximation of the Chemical Composition of Archaeological Artefacts in the Presence of Inter-microscope Variability.

Catalin Stoean, Leonard Ionescu, Ruxandra Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, Gonzalo Joya

Proceedings of the Advances in Computational Intelligence, 2021