Name: Artificial Neural Networks and Machine Learning – Icann 2024: 33Rd International Conference on Artificial Neural Networks, Lugano, Switzerland,. (Lecture Notes in Computer Science, 15018) (en Inglés)
SKU: 62856755
Price: 1416.53 MXN
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Author: Wand Michael,Malinovská Kristína,Schmidhuber Jürgen
ISBN: 9783031723377

portada Artificial Neural Networks and Machine Learning – Icann 2024: 33Rd International Conference on Artificial Neural Networks, Lugano, Switzerland,. (Lecture Notes in Computer Science, 15018) (en Inglés)

Artificial Neural Networks and Machine Learning – Icann 2024: 33Rd International Conference on Artificial Neural Networks, Lugano, Switzerland,. (Lecture Notes in Computer Science, 15018) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Wand Michael,Malinovská Kristína,Schmidhuber Jürgen

Idioma

Inglés

N° páginas

497

Encuadernación

Tapa Blanda

ISBN13

9783031723377

N° edición

2024th

Artificial Neural Networks and Machine Learning – Icann 2024: 33Rd International Conference on Artificial Neural Networks, Lugano, Switzerland,. (Lecture Notes in Computer Science, 15018) (en Inglés)

Wand Michael,Malinovská Kristína,Schmidhuber Jürgen (Autor) · Springer · Tapa Blanda

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Reseña del libro "Artificial Neural Networks and Machine Learning – Icann 2024: 33Rd International Conference on Artificial Neural Networks, Lugano, Switzerland,. (Lecture Notes in Computer Science, 15018) (en Inglés)"

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.