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Artificial Neural Networks and Machine Learning - ICANN 202433rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024 : proceedings.Part IV /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial Neural Networks and Machine Learning - ICANN 2024edited by Michael Wand ... [et al.].
Reminder of title:	33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024 : proceedings.
remainder title:	ICANN 2024
other author:	Wand, Michael.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xxxiv, 428 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science)
Online resource:	https://doi.org/10.1007/978-3-031-72341-4
ISBN:	9783031723414$q(electronic bk.)

Artificial Neural Networks and Machine Learning - ICANN 202433rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024 : proceedings.Part IV /
Artificial Neural Networks and Machine Learning - ICANN 202433rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024 : proceedings.Part IV /[electronic resource] :ICANN 2024edited by Michael Wand ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xxxiv, 428 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,150190302-9743 ;. - Lecture notes in computer science,2807..

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.

ISBN: 9783031723414$q(electronic bk.)

Standard No.: 10.1007/978-3-031-72341-4doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Artificial Neural Networks and Machine Learning - ICANN 202433rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024 : proceedings.Part IV /
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