Dear Colleague, I would like to bring to your attention the organization of the 19th Annual International Conference on Mathematics: Teaching, Theory & Applications, 30 June & 1-3 July 2025, Athens, Greece. You are more than welcome to submit a proposal for presentation by 11 March 2025. If you need more information, please let me […]
Archive for March 1st, 2025
FedCSIS 2025 Call For Papers
March 1st, 2025
Daniela Lopez de Luise Call for Papers 20th (Jubilee) Conference on Computer Science and Intelligence Systems FedCSIS 2025 IEEE #66292; indexing: DBLP; SCOPUS; Web of Science fedcsis.org Kraków, Poland, 14-17 September, 2025 (on-site/in person) Strict submission deadline: May 25, 2025 (no extensions) The mission of the FedCSIS Conference Series is to provide a presentation, discussion and a publication forum in […]
6th Workshop on Patent Mining (PatentSemTech2025) @ SIGIR
March 1st, 2025
Daniela Lopez de Luise The PatentSemTech2025 workshop, co-located with SIGIR 2025 (sigir2025.dei.unipd.it/) in Padua, Italy, aims to bring together deep learning, natural language processing (NLP), and patent mining, analysis, and retrieval. As a forum for researchers and practitioners from the patent domain, we are interested in all kinds of insights from the intellectual property (IP) domain. Workshop website: […]
Call for Contests – CAIP 2025
March 1st, 2025
Daniela Lopez de Luise Dear Colleagues, We are pleased to announce the Call for Contests for CAIP 2025, the 21st International Conference on Computer Vision, Image Analysis & Processing, and Pattern Recognition. The conference, to be held in Las Palmas de Gran Canaria, Spain, from September 22-25, 2025, invites proposals for contests aimed at advancing the development of computer vision […]
DDP 2025
March 1st, 2025
Daniela Lopez de Luise Fifth International Conference on Digital Data Processing (DDP 2025) University of Bedfordshire. Luton. (Near London) UK. August 18-20, 2025 (www.socio.org.uk/ddp) (IEEE approval pending) As technology advances in different sub-domains of computing, data-driven models are becoming increasingly important. The data-dependent world now faces many challenges in terms of data accuracy and data privacy. High-impact advancements include […]




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