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Annalisa Riccardi

Showing results (1-10 of 6) with videos related to

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Scientific Reports|March 27, 2025
Balancing centralisation and decentralisation in federated learning for Earth Observation-based agricultural predictionsRobert Cowlishaw, Nicolas Longépé, Annalisa Riccardi
Science & Justice : Journal of the Forensic Science Society|December 5, 2024
Earth observation technology's alignment with OHCHR indicators for strengthening human rights breach investigations and adjudicationSeonaid Rapach, Annalisa Riccardi, Rhonda Wheate
IEEE Transactions on Cybernetics|July 30, 2014
Ordinal regression by a generalized force-based modelFrancisco Fernandez-Navarro, Annalisa Riccardi, Sante Carloni
IEEE Transactions on Cybernetics|September 16, 2014
Cost-sensitive AdaBoost algorithm for ordinal regression based on extreme learning machineAnnalisa Riccardi, Francisco Fernández-Navarro, Sante Carloni
IEEE Transactions on Neural Networks and Learning Systems|October 21, 2014
Ordinal neural networks without iterative tuningFrancisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni
IEEE Transactions on Emerging Topics in Computational Intelligence|November 20, 2023
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural NetworksAnnalisa Riccardi, Jessica Gemignani, Francisco Fernandez-Navarro, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Scientific Reports|March 27, 2025
Balancing centralisation and decentralisation in federated learning for Earth Observation-based agricultural predictionsRobert Cowlishaw, Nicolas Longépé, Annalisa Riccardi
Science & Justice : Journal of the Forensic Science Society|December 5, 2024
Earth observation technology's alignment with OHCHR indicators for strengthening human rights breach investigations and adjudicationSeonaid Rapach, Annalisa Riccardi, Rhonda Wheate
IEEE Transactions on Cybernetics|July 30, 2014
Ordinal regression by a generalized force-based modelFrancisco Fernandez-Navarro, Annalisa Riccardi, Sante Carloni
IEEE Transactions on Cybernetics|September 16, 2014
Cost-sensitive AdaBoost algorithm for ordinal regression based on extreme learning machineAnnalisa Riccardi, Francisco Fernández-Navarro, Sante Carloni
IEEE Transactions on Neural Networks and Learning Systems|October 21, 2014
Ordinal neural networks without iterative tuningFrancisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni
IEEE Transactions on Emerging Topics in Computational Intelligence|November 20, 2023
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural NetworksAnnalisa Riccardi, Jessica Gemignani, Francisco Fernandez-Navarro, et al.
Pageof 1