Concepedia

Francesco Ceccarelli

FC

5

Publications

193

Citations

5

H-Index

2019

Active since

Affiliations

University of Cambridge(Current)

Heidelberg University

RWTH Aachen University

Joint Research Centre

Francesco Ceccarelli is an author at University of Cambridge specializing in multimodal learning, affective computing, and depression.

Top concepts

MedicineDepressionPsychiatryEngineeringNeuroimagingNeuroscienceDeep LearningPsychopathologyBipolar DisorderMachine Learning

Publications per year

2019–2021

5

Publications

5

Multimodal temporal machine learning for Bipolar Disorder and Depression Recognition

Francesco Ceccarelli, Marwa Mahmoud · Pattern Analysis and Applications · 2021 · 53 citations

Depression Recognition, Engineering, Machine Learning +14

Bringing data from curated pathway resources to Cytoscape with OmniPath

Francesco Ceccarelli, Dénes Türei, Attila Gábor et al. · Bioinformatics · 2019 · 43 citations

Deep learning predicts short non-coding RNA functions from only raw sequence data

Teresa Noviello, Francesco Ceccarelli, Michele Ceccarelli et al. · PLoS Computational Biology · 2020 · 41 citations · Full text

A Functional Landscape of CKD Entities From Public Transcriptomic Data

Ferenc Tajti, Christoph Kuppe, Asier Antoranz et al. · Kidney International Reports · 2019 · 40 citations · Full text

Novel plasma peptide markers involved in the pathology of CKD identified using mass spectrometric approach

Prathibha R. Gajjala, Heike Bruck, Heidi Noels et al. · Journal of Molecular Medicine · 2019 · 16 citations · Full text

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