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Beschreibung
This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024.

The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.
This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024.

The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.
Details
Erscheinungsjahr: 2024
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Titelzusatz: First International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Lugano, Switzerland, September 19, 2024, Proceedings
Reihe: Lecture Notes in Computer Science
Inhalt: xxxviii
176 S.
1 s/w Illustr.
49 farbige Illustr.
176 p. 50 illus.
49 illus. in color.
ISBN-13: 9783031723803
ISBN-10: 3031723805
Sprache: Englisch
Einband: Kartoniert / Broschiert
Redaktion: Clevert, Djork-Arné
Wand, Michael
Malinovská, Kristína
Schmidhuber, Jürgen
Tetko, Igor V.
Herausgeber: Djork-Arné Clevert/Michael Wand/Kristína Malinovská et al
Hersteller: Springer
Springer International Publishing AG
Lecture Notes in Computer Science
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 12 mm
Von/Mit: Djork-Arné Clevert (u. a.)
Erscheinungsdatum: 27.09.2024
Gewicht: 0,335 kg
Artikel-ID: 129938027