Artificial neural networks and machine learning -- ICANN 2024 : 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings. Part III / Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko, editors.
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 proceedin...
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Full Text (via Springer) |
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| Corporate Author: | |
| Other Authors: | , , , |
| Other title: | ICANN 2024 |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2024.
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| Series: | Lecture notes in computer science ;
15018. |
| Subjects: |
| Summary: | 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. |
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| Item Description: | Includes author index. |
| Physical Description: | 1 online resource (xxxiii, 464 pages) : illustrations (some color). |
| ISBN: | 9783031723384 3031723384 |
| ISSN: | 1611-3349 ; |
| Source of Description, Etc. Note: | Source of description: Online resource; title from PDF title page (SpringerLink, viewed September 25, 2024). |
| Host Item Entry: | Springer Nature eBook |