“en la senda de Sadosky” Estimados, Les acercamos información sobre el curso “Introducción a la Ciencia de Datos” que se dictará virtualmente en el campus de SADIO. Esperamos que sea de su interés y agradecemos la difusión que pueda darle. Saludos cordiales. ¡Seguinos en nuestras redes sociales para enterarte de más novedades! […]
Archive for September 8th, 2020
SADIO – Curso virtual “Introduccion a la Ciencia de Datos”
EDUNOVATIC Conference 2020
Call for papers deadline: November 17, 2020 View this email in your browser Call for Papers V Congreso Virtual Internacional sobre Educación, Innovación y TIC V Virtual International Conference on Education, Innovation and ICT 10-11 Diciembre, 2020 + Info ENGLISH On behalf of the Organizing Committee, we are pleased to invite you to participate in […]
FedCSIS 2020 — open and free of charge Webex-based participation.
Dear Colleague, The 15th Conference on Computer Science and Information Systems 2020 will start tomorrow (Monday, 7.9.2020) and will last for 3 days. It will be 100% online and will run using Webex. Conference schedule is available at: https://www.fedcsis.org/2020/program There you can find links to each session
PRAConBE – Pattern Recognition and Automation in Construction & the Built Environment
CALL FOR PAPERS ICPR 2020 Workshop on: “Pattern Recognition and Automation in Construction & the Built Environment” (PRAConBE 2020) https://praconbe2020.iti.gr/ – CfP in PDF: https://praconbe2020.iti.gr/ICPR_PRAConBE_2020_CfP.pdf The 25th International Conference on Pattern Recognition (ICPR 2020) 10-15 January 2021, Milan, Italy https://www.micc.unifi.it/icpr2020/ The workshop covers a topic that is rapidly gaining attention in the recent […]
Call for papers Manifold Learning from Euclid to Riemann ICPR Workshop
“> https://sites.google.com/view/manlearn2020/ We are organizing the Manifold Learning from Euclid to Riemann Workshop In Conjunction with the 25th International Conference On Pattern Recognition, Milan, Italy 10 – 15 January 2021 We encourage discussions on recent advances, ongoing developments, and novel applications of manifold learning, optimization, feature representations and deep learning techniques. We are soliciting original contributions that […]