001463305 000__ 06780cam\a22006737i\4500
001463305 001__ 1463305
001463305 003__ OCoLC
001463305 005__ 20230601003314.0
001463305 006__ m\\\\\o\\d\\\\\\\\
001463305 007__ cr\cn\nnnunnun
001463305 008__ 230419s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001463305 020__ $$a9783031301087$$q(electronic bk.)
001463305 020__ $$a3031301080$$q(electronic bk.)
001463305 020__ $$z9783031301070
001463305 020__ $$z3031301072
001463305 0247_ $$a10.1007/978-3-031-30108-7$$2doi
001463305 035__ $$aSP(OCoLC)1376445881
001463305 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dUKAHL$$dN$T
001463305 049__ $$aISEA
001463305 050_4 $$aQA76.87
001463305 08204 $$a006.3/2$$223/eng/20230419
001463305 1112_ $$aICONIP (Conference)$$n(29th :$$d2022 :$$cOnline)
001463305 24510 $$aNeural information processing :$$b29th International Conference, ICONIP 2022, virtual event, November 22-26, 2022, proceedings.$$nPart II /$$cMohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, editors.
001463305 2463_ $$aICONIP 2022
001463305 264_1 $$aCham :$$bSpringer,$$c2023.
001463305 300__ $$a1 online resource (426 pages) :$$billustrations (black and white).
001463305 336__ $$atext$$btxt$$2rdacontent
001463305 337__ $$acomputer$$bc$$2rdamedia
001463305 338__ $$aonline resource$$bcr$$2rdacarrier
001463305 4901_ $$aLecture notes in computer science ;$$v13624
001463305 500__ $$aIncludes author index.
001463305 5050_ $$aCognitive 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.
001463305 506__ $$aAccess limited to authorized users.
001463305 520__ $$aThe 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 2226, 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.
001463305 588__ $$aDescription based on print version record.
001463305 650_0 $$aNeural computers$$vCongresses.
001463305 650_0 $$aNeural networks (Computer science)$$vCongresses.
001463305 655_0 $$aElectronic books.
001463305 7001_ $$aTanveer, Mohammad,$$eeditor.
001463305 7001_ $$aAgarwal, Sonali,$$eeditor.
001463305 7001_ $$aOzawa, Seiichi,$$eeditor.
001463305 7001_ $$aEkbal, Asif,$$d1977-$$eeditor.$$1https://isni.org/isni/0000000375115147
001463305 7001_ $$aJatowt, Adam,$$eeditor.
001463305 77608 $$iPrint version:$$aICONIP (Conference) (29th : 2022 : Online), creator.$$tNeural information processing : Part II.$$dCham : Springer, 2023$$z9783031301070$$w(OCoLC)1374588372
001463305 830_0 $$aLecture notes in computer science ;$$v13624.
001463305 852__ $$bebk
001463305 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-30108-7$$zOnline Access$$91397441.1
001463305 909CO $$ooai:library.usi.edu:1463305$$pGLOBAL_SET
001463305 980__ $$aBIB
001463305 980__ $$aEBOOK
001463305 982__ $$aEbook
001463305 983__ $$aOnline
001463305 994__ $$a92$$bISE