Artificial Neural Networks and Machine Learning - ICANN 2024 (Registro nro. 276435)

MARC details
000 -LIDER
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001 - CONTROL NUMBER
control field 978-3-031-72341-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250516160139.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031723414
-- 978-3-031-72341-4
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Artificial Neural Networks and Machine Learning - ICANN 2024
Medium [electronic resource] :
Remainder of title 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IV /
Statement of responsibility, etc. edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XXXIV, 428 p. 138 illus., 136 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 15019
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note -- Brain-inspired ComputingBrain-inspired Computing. -- A Multiscale Resonant Spiking Neural Network for Music Classification. -- Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements. -- Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositionality in Planning. -- Sparsity aware Learning in Feedback-driven Differential Recurrent Neural Networks. -- Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. -- Cognitive and Computational Neuroscience. -- Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer. -- Biologically-plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-encoded Distributions. -- Dynamic Graph for Biological Memory Modeling: A System-Level Validation. -- EEG features learned by convolutional neural networks reflect alterations of social stimuli processing in autism. -- Estimate of the Storage Capacity of q-Correlated Patterns in Hopfield Neural Networks. -- An Accuracy-Shaping Mechanism for Competitive Distributed Learning. -- Explainable Artificial Intelligence. -- Counterfactual Contrastive Learning for Fine Grained Image Classification. -- Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space. -- Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. -- Generally-Occurring Model Change for Robust Counterfactual Explanations. -- Model Based Clustering of Time Series Utilizing Expert ODEs. -- Towards Generalizable and Interpretable AI-Modified Image Detectors. -- Understanding Deep Networks via Multiscale Perturbations. -- Robotics. -- Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. -- Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation. -- Robust Navigation for Unmanned Surface Vehicle Utilizing Improved Distributional Soft Actor-Critic. -- When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration. -- Reinforcement Learning. -- Asymmetric Actor-Critic for Adapting to Changing Environments in Reinforcement Learning. -- Building surrogate models using trajectories of agents trained by Reinforcement Learning. -- Demand-Responsive Transport Dynamic Scheduling Optimization Based on Multi-Agent Reinforcement Learning under Mixed Demand. -- Dual Action Policy for Robust Sim-to-Real Reinforcement Learning. -- Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation. -- Speeding up Meta-Exploration via Latent Representation.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Owner UABC ;
Method of acquisition Perpetuidad
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Application software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computer networks .
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computing Milieux.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computer Communication Networks.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wand, Michael.
Relator term editor.
-- (orcid)0000-0003-0966-7824
-- https://orcid.org/0000-0003-0966-7824
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Malinovská, Kristína.
Relator term editor.
-- (orcid)0000-0001-7638-028X
-- https://orcid.org/0000-0001-7638-028X
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schmidhuber, Jürgen.
Relator term editor.
-- (orcid)0000-0002-1468-6758
-- https://orcid.org/0000-0002-1468-6758
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tetko, Igor V.
Relator term editor.
-- (orcid)0000-0002-6855-0012
-- https://orcid.org/0000-0002-6855-0012
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031723407
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031723421
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 1611-3349 ;
Volume number/sequential designation 15019
856 40 - ELECTRONIC LOCATION AND ACCESS
Public note Libro electrónico
Uniform Resource Identifier http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-72341-4
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Libro Electrónico
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  Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica 16/05/2025   16/05/2025 1 Libro Electrónico

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