Valentin Kozlov

According to our database, Valentin Kozlov authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

Machine learning operations landscape: platforms and tools.

Lisana Berberi, Valentin Kozlov, Giang Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, Germán Moltó, Viet D. Tran, Álvaro López García

Artif. Intell. Rev., June, 2025

Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools.

Giang Thu Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, Lisana Berberi, Oleksandr Lytvyn, Valentin Kozlov, Viet D. Tran, Germán Moltó, Álvaro López García

Artif. Intell. Rev., February, 2025

iMagine: AI-Powered Image Data Analysis in Aquatic Science.

Elnaz Azmi, Khadijeh Alibabaei, Valentin Kozlov, Álvaro López García, Dick Schaap, Gergely Sipos

Proceedings of the Platform for Advanced Scientific Computing Conference, 2025

Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches.

Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer, Leon Klug, Valentin Kozlov, Lisana Berberi, Mishal Benz, Rebekka Volk, Juan Pedro Gutiérrez H. Muriedas, Markus Götz, Judith Sáinz-Pardo Díaz, Álvaro López García, Frank Schultmann, Achim Streit

Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

2024

Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas.

Judith Sáinz-Pardo Díaz, María Castrillo, Juraj Bartok, Ignacio Heredia Cacha, Irina Malkin Ondík, Ivan Martynovskyi, Khadijeh Alibabaei, Lisana Berberi, Valentin Kozlov, Álvaro López García

Earth Sci. Informatics, December, 2024

2023

A container-based workflow for distributed training of deep learning algorithms in HPC clusters.

Jose González-Abad, Álvaro López García, Valentin Y. Kozlov

Clust. Comput., October, 2023

A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications.

Amanda Calatrava, Hernán Asorey, Ján Astalos, Alberto Azevedo, Francesco Benincasa, Ignacio Blanquer, Martin Bobák, Francisco Vilar Brasileiro, Laia Codó, Laura del Cano, Borja Esteban, Meritxell Ferret, Josef Handl, Tobias Kerzenmacher, Valentin Kozlov, Ales Krenek, Ricardo Martins, Manuel Pavesio, Antonio Juan Rubio-Montero, Juan Sánchez-Ferrero

Comput. Sci. Rev., August, 2023

2020

A Cloud-Based Framework for Machine Learning Workloads and Applications.

Álvaro López García, Viet D. Tran, Andy S. Alic, Miguel Caballer, Isabel Campos Plasencia, Alessandro Costantini, Stefan Dlugolinský, Doina Cristina Duma, Giacinto Donvito, Jorge Gomes, Ignacio Heredia Cacha, Jesús E. Marco de Lucas, Keiichi Ito, Valentin Kozlov, Giang T. Nguyen, Pablo Orviz Fernández, Zdenek Sustr, Pawel Wolniewicz, Marica Antonacci, Wolfgang zu Castell, Mário David, Marcus Hardt, Lara Lloret Iglesias, Germán Moltó, Marcin Plóciennik

IEEE Access, 2020

2019

Benchmarking Deep Learning Infrastructures by Means of TensorFlow and Containers.

Adrian Grupp, Valentin Kozlov, Isabel Campos Plasencia, Mário David, Jorge Gomes, Álvaro López García

Proceedings of the High Performance Computing, 2019