Federico Cabitza | Akateeminen Kirjakauppa

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MACHINE LEARNING AND KNOWLEDGE EXTRACTION : 7TH IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 INTERNATIONAL CROSS-DOMAIN CONFERENCE,

Andreas Holzinger (ed.); Peter Kieseberg (ed.); Federico Cabitza (ed.); Andrea Campagner (ed.); A Min Tjoa (ed.); E Weippl
Springer (2023)
Pehmeäkantinen kirja

54,40 €

ORGANIZING FOR THE DIGITAL WORLD - IT FOR INDIVIDUALS, COMMUNITIES AND SOCIETIES

Federico Cabitza; Carlo Batini; Massimo Magni
Springer International Publishing AG (2018)
Pehmeäkantinen kirja

97,90 €

BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES : 13TH INTERNATIONAL JOINT CONFERENCE, BIOSTEC 2020, VALLETTA, MALTA, FEBRUARY 2

Xuesong Ye (ed.); Filipe Soares (ed.); Elisabetta De Maria (ed.); Pedro Gómez Vilda (ed.); Federico Cabitza (ed.); An Fred
Springer (2021)
Pehmeäkantinen kirja

97,90 €

BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - 16TH INTERNATIONAL JOINT CONFERENCE, BIOSTEC 2023, LISBON, PORTUGAL, FEBRUARY

Ana Moita; Katja Bühler; Hesham Ali; Ning Deng; Ioanna Chouvarda; Federico Cabitza; Ana Fred; Hugo Gamboa
Springer International Publishing AG (2024)
Pehmeäkantinen kirja

59,30 €

Machine Learning and Knowledge Extraction : 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference,

Andreas Holzinger (ed.), Peter Kieseberg (ed.), Federico Cabitza (ed.), Andrea Campagner (ed.), A Min Tjoa (ed.), E Weippl

54,40 €

Springer
Sivumäärä: 320 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2023, 23.08.2023 (lisätietoa)
Kieli: Englanti
Tuotesarja: Lecture Notes in Computer Science 14065

This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023.

The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

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