Deadline for manuscript submissions: 31 March 2020 Sensors (ISSN 1424-8220) has an impact factor of 3.031 (2018 Journal Impact Factor) and it is ranked 15/61 at 'Instruments and Instrumentation'. It is ranked 9/123 in 'Physics and Astronomy: Instrumentation' and 102/661 in 'Electrical and Electronic Engineering', according to CiteScore (2018 Scopus data). Keywords recent optical sensor technologies: plasmonic-based […]
Archive for November 26th, 2019
Call for Papers S+SSPR 2020
November 26th, 2019
Daniela Lopez de Luise CALL FOR PAPERSIAPR Joint International Workshops on13th Statistical Techniques in Pattern Recognition (SPR)18th Structural and Syntactic Pattern Recognition Workshop (SSPR) Time and place: 8-11 September 2020, Padova, ItalyPaper submission deadline: 8 June 2020 S+SSPR 2020 is a joint event organised by Technical Committee 1 (Statistical Pattern Recognition Technique) and Technical Committee 2 (Structural and Syntactical Pattern Recognition) […]
MIDL2020 – Medical Imaging with Deep Learning Conference – Call for Papers
November 26th, 2019
Daniela Lopez de Luise The MIDL conference aims to be a forum for deep learning researchers, clinicians and health-care companies to take a leap in the application of deep learning based automatic image analysis in disease screening, diagnosis, prognosis, treatment selection and treatment monitoring. +Dates Paper registration deadline 24 January 2020Paper submission deadline 30 January 2020Conference dates 4-6 July […]
IEEE FG2020 – Joint Challenge on Compound Emotion Recognition and Multimodal (Audio, Facial and Gesture) based Emotion Recognition
November 26th, 2019
Daniela Lopez de Luise Dear Affective Computists Hello Emotion recognition has a key role in affective computing. People express emotions through different modalities. Integration of verbal and non-verbal communication channels creates a system in which the message is easier to understand. Expanding the focus to several expression forms can facilitate research on emotion recognition as well as human-machine interaction. […]




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