Artificial Neural Networks and Machine Learning - ICANN 2024: 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IV
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 proceeding...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Buch |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | 15019 |
creator | Wand, Michael Malinovská, Kristína Schmidhuber, Jürgen Tetko, Igor V |
description | 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. |
format | Book |
fullrecord | <record><control><sourceid>proquest_askew</sourceid><recordid>TN_cdi_askewsholts_vlebooks_9783031723414</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC31708646</sourcerecordid><originalsourceid>FETCH-LOGICAL-a2191-bc93919fbfb6daffd6f691f951f9cb33b02e4801e11271f55f9369d99f1ad3b53</originalsourceid><addsrcrecordid>eNpVz0tLxDAUBeCIKOrY_5ClLgq5eTUX3IxlfECtG12XpE2c0tJq03H-vmXGzSwuhwsfB84ZSTAzggnIuJAgz09-ll2SG5AqY0YA4hVJYmwdU9pIKZm5Jg_raW5DW7e2p6XfTYeY9-PURWqHhr7ZetsOnhbeTkM7fNGUvubrsqSccXlLLoLto0_-c0U-nzYf-UtavD8vqkgtB4TU1SgQMLjgdGNDaHTQCAHVcrUTwjHupWHgAXgGQamAQmODGMA2wimxIvfHXhs7v4_bsZ9j9dt7N45drE7mL_buaL-n8Wfn41wdWO2HeRlXbR7zhTKjpRZ_By9WoQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC31708646</pqid></control><display><type>book</type><title>Artificial Neural Networks and Machine Learning - ICANN 2024: 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IV</title><source>Springer Books</source><creator>Wand, Michael ; Malinovská, Kristína ; Schmidhuber, Jürgen ; Tetko, Igor V</creator><creatorcontrib>Wand, Michael ; Malinovská, Kristína ; Schmidhuber, Jürgen ; Tetko, Igor V</creatorcontrib><description>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.</description><edition>2024th edition</edition><identifier>ISBN: 9783031723407</identifier><identifier>ISBN: 3031723406</identifier><identifier>EISBN: 9783031723414</identifier><identifier>EISBN: 3031723414</identifier><identifier>OCLC: 1457083199</identifier><language>eng</language><publisher>Cham: Springer</publisher><subject>Artificial intelligence-Congresses</subject><creationdate>2024</creationdate><tpages>449</tpages><format>449</format><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>306,780,784,786</link.rule.ids></links><search><creatorcontrib>Wand, Michael</creatorcontrib><creatorcontrib>Malinovská, Kristína</creatorcontrib><creatorcontrib>Schmidhuber, Jürgen</creatorcontrib><creatorcontrib>Tetko, Igor V</creatorcontrib><title>Artificial Neural Networks and Machine Learning - ICANN 2024: 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IV</title><description>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.</description><subject>Artificial intelligence-Congresses</subject><isbn>9783031723407</isbn><isbn>3031723406</isbn><isbn>9783031723414</isbn><isbn>3031723414</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2024</creationdate><recordtype>book</recordtype><sourceid/><recordid>eNpVz0tLxDAUBeCIKOrY_5ClLgq5eTUX3IxlfECtG12XpE2c0tJq03H-vmXGzSwuhwsfB84ZSTAzggnIuJAgz09-ll2SG5AqY0YA4hVJYmwdU9pIKZm5Jg_raW5DW7e2p6XfTYeY9-PURWqHhr7ZetsOnhbeTkM7fNGUvubrsqSccXlLLoLto0_-c0U-nzYf-UtavD8vqkgtB4TU1SgQMLjgdGNDaHTQCAHVcrUTwjHupWHgAXgGQamAQmODGMA2wimxIvfHXhs7v4_bsZ9j9dt7N45drE7mL_buaL-n8Wfn41wdWO2HeRlXbR7zhTKjpRZ_By9WoQ</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Wand, Michael</creator><creator>Malinovská, Kristína</creator><creator>Schmidhuber, Jürgen</creator><creator>Tetko, Igor V</creator><general>Springer</general><general>Springer International Publishing AG</general><scope/></search><sort><creationdate>2024</creationdate><title>Artificial Neural Networks and Machine Learning - ICANN 2024</title><author>Wand, Michael ; Malinovská, Kristína ; Schmidhuber, Jürgen ; Tetko, Igor V</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a2191-bc93919fbfb6daffd6f691f951f9cb33b02e4801e11271f55f9369d99f1ad3b53</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Artificial intelligence-Congresses</topic><toplevel>online_resources</toplevel><creatorcontrib>Wand, Michael</creatorcontrib><creatorcontrib>Malinovská, Kristína</creatorcontrib><creatorcontrib>Schmidhuber, Jürgen</creatorcontrib><creatorcontrib>Tetko, Igor V</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wand, Michael</au><au>Malinovská, Kristína</au><au>Schmidhuber, Jürgen</au><au>Tetko, Igor V</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Artificial Neural Networks and Machine Learning - ICANN 2024: 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IV</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2024</date><risdate>2024</risdate><volume>15019</volume><isbn>9783031723407</isbn><isbn>3031723406</isbn><eisbn>9783031723414</eisbn><eisbn>3031723414</eisbn><abstract>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.</abstract><cop>Cham</cop><pub>Springer</pub><oclcid>1457083199</oclcid><tpages>449</tpages><edition>2024th edition</edition></addata></record> |
fulltext | fulltext |
identifier | ISBN: 9783031723407 |
ispartof | |
issn | |
language | eng |
recordid | cdi_askewsholts_vlebooks_9783031723414 |
source | Springer Books |
subjects | Artificial intelligence-Congresses |
title | Artificial Neural Networks and Machine Learning - ICANN 2024: 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IV |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T20%3A25%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_askew&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Artificial%20Neural%20Networks%20and%20Machine%20Learning%20-%20ICANN%202024:%2033rd%20International%20Conference%20on%20Artificial%20Neural%20Networks,%20Lugano,%20Switzerland,%20September%2017-20,%202024,%20Proceedings,%20Part%20IV&rft.au=Wand,%20Michael&rft.date=2024&rft.volume=15019&rft.isbn=9783031723407&rft.isbn_list=3031723406&rft_id=info:doi/&rft_dat=%3Cproquest_askew%3EEBC31708646%3C/proquest_askew%3E%3Curl%3E%3C/url%3E&rft.eisbn=9783031723414&rft.eisbn_list=3031723414&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC31708646&rft_id=info:pmid/&rfr_iscdi=true |