Neural Information Processing [electronic resource] : 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part II / edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt.
Tipo de material: TextoSeries Lecture Notes in Computer Science ; 13624Editor: Cham : Springer International Publishing : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXXIV, 441 p. 180 illus., 155 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031301087Tema(s): Pattern recognition systems | Data mining | Machine learning | Social sciences -- Data processing | Automated Pattern Recognition | Data Mining and Knowledge Discovery | Machine Learning | Computer Application in Social and Behavioral SciencesFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.4 Clasificación LoC:Q337.5TK7882.P3Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
Cognitive Neurosciences -- Differences in Brain Activation during Physics Problem Solving across Students with Various Learning Progression: Electrophysiological Evidence based on Detrended Fluctuation analysis -- A dynamic, economical, and robust coding scheme in the lateral prefrontal neurons of monkeys -- Dynamic Characteristics of Micro-state Transition Defined by Instantaneous Frequency in the Electroencephalography of Schizophrenia Patients -- Lagrange Programming Neural Networks for Sparse Portfolio Design -- An Adaptive Convolution Auto-encoder based on Spiking Neurons -- Schizophrenia detection based on EEG using Recurrent Auto-Encoder framework -- Functional Roles of Amygdala and Orbitofrontal Cortex in Adaptive Behavior -- A Multiclass EEG Signal Classification Model using Channel Interaction Maximization and Multivariate Empirical Mode Decomposition -- MVNet: Memory Assistance and Vocal Reinforcement Network for Speech Enhancement -- Learning Associative Reasoning Towards Systematicity using Modular Networks -- Identifying dominant emotion in positive and negative groups of Navrasa using functional brain connectivity patterns -- A Cerebellum-Inspired Model-Free Kinematic Control Method with RCM Constraint -- Instrumental Conditioning with Neuromodulated Plasticity on SpiNNaker -- A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in terms of BOLD signal -- Explainable Causal Analysis of Mental Health on Social Media Data -- Brain-inspired attention model for object counting -- Human Centered Computing -- Emotion Detection from Viariable Conversation Context -- Multi-relation Word Pair Tag Space for Joint Entity and Relation Extraction -- Efficient Policy Generation in Multi-Agent Systems via Hypergraph Neural Network -- Bring Ancient Murals Back to Life -- Multi-Modal Rumor detection via Knowledge-aware Heterogeneous Graph Convolutional Networks -- DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing -- AMRE: An Attention-based CRNN for Manchu Word Recognition on a Woodblock-Printed Dataset -- High-Accuracy and Energy-Efficient Action Recognition with Deep Spiking Neural Network -- Sequence Recommendation Based on Interactive Graph Attention Network -- Imbalanced Equilibrium: Emergence of Social Asymmetric Coordinated Behavior in Multi-Agent Games -- Model-based Reinforcement Learning with Self-Attention Mechanism for Autonomous Driving in Dense Traffic -- CLCDR: Contrastive Learning for Cross-Domain Recommendation to Cold-Start Users -- Medical Visual Question Answering via Targeted Choice Contrast and Multimodal Entity Matching -- Boosting Star-GANs for Voice Conversion with Contrastive Discriminator -- Next POI Recommendation with Neighbor and Location Popularity -- Trustworthiness and Confidence of Gait Phase Predictions in Changing Environments Using Interpretable Classifier Models -- Enhance Gesture Recognition Via Visual-Audio Modal Embedding -- Learning from Fourier: Leveraging Frequency Transformation for Emotion Recognition -- Efficient Double Oracle for Extensive-Form Two-Player Zero-Sum Games -- FastThaiCaps: A Transformer based Capsule Network for Hate Speech Detection in Thai Language.
The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22-26, 2022. The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
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