LEADER 05190nam 22006255 450 001 996664546303316 005 20250624130239.0 010 $a981-9665-85-X 024 7 $a10.1007/978-981-96-6585-3 035 $a(MiAaPQ)EBC32175400 035 $a(Au-PeEL)EBL32175400 035 $a(CKB)39445494300041 035 $a(DE-He213)978-981-96-6585-3 035 $a(EXLCZ)9939445494300041 100 $a20250624d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Information Processing $e31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2?6, 2024, Proceedings, Part IV /$fedited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (717 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15289 311 08$a981-9665-84-1 327 $aMultimodal Emotion Recognition by Fusing Video Semantics in Video Learning Scenarios -- STGCN-DHD: Spatio-Temporal Graph Convolutional Network for EEG-Based Driving Hazard Detection -- Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis -- Granular-ball Representation Learning for Deep CNN on Learning with Label Noise -- Computational Intelligence for Optimizing UAV Positioning and Task Scheduling in UAV-assisted MEC Systems -- Feed-Forward Optimization With Delayed Feedback for Neural Network Training -- Fusion of Multi-level Information: Solve Large-scale Traveling Salesman Problem with an Efficient Framework -- A Novel Elitism-Based Genetic Algorithm with Gradient-based Local Search for Seeking Local Nash Equilibrium in Non-Cooperative Game -- Massive Multi-Agent Mean-Field Game Using Online Federated Adaptive Critic-Density Learning -- Combining Explicit Priors and Set Attention Driven Implicit Priors for Demonstration-Guided Reinforcement Learning -- Mixed Time-State Dependent Distributed Event-Triggered Consensus Protocol of a DC Microgrids Cluster -- Computing Approximate Nash Equilibrium in Two-Team Zero-Sum Games by NashConv Descent -- Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory -- GATE: Guided Contrastive State Space for Multi-Agent Reinforcement Learning -- A Leaky Wang kWTA -- Semantic Mapping and Reconstruction from Brain Activation to Natural Images Using LDM and LLM -- Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging -- Critical roles of Contours in Intermediate-Level Neural Representation: Comparative study between Primate V4 and DCNN -- Generalized knowledge-enhanced framework for biomedical entity and relation extraction -- CPG: Channel Pruning with DFS Guided Grouping for Efficient Medical Image Segmentation -- Attention based multi-scale feature conservation network for medical image segmentation -- DSNet: A Decoupled Siamese Network for ECG Classification -- A Lightweight Multi-Scale Efficient Model for Breast Cancer Detection and Classification in Mammograms -- HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affnity Prediction -- Graph-Augmented Sparse Attention for Medical Image Segmentation -- Active Learning by Feature Perturbation for Medical Image Classification -- A Multi-Encoder Pyramid U-Net for Multimodal Brain Tumor Segmentation -- MambaFuse: Fusing Multi-Scale Mamba and CNN Features for Seizure Prediction -- An Encoder-Decoder Based Approach for ECG Delineation. 330 $aThe eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15289 606 $aPattern recognition systems 606 $aData mining 606 $aMachine learning 606 $aAutomated Pattern Recognition 606 $aData Mining and Knowledge Discovery 606 $aMachine Learning 615 0$aPattern recognition systems. 615 0$aData mining. 615 0$aMachine learning. 615 14$aAutomated Pattern Recognition. 615 24$aData Mining and Knowledge Discovery. 615 24$aMachine Learning. 676 $a006.4 700 $aMahmud$b Mufti$01361230 701 $aDoborjeh$b Maryam$01827591 701 $aHuang$b Dejiang$01884775 701 $aLeung$b Andrew Chi Sing$01827593 701 $aDoborjeh$b Zohreh$01827594 701 $aTanveer$b M$01827595 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996664546303316 996 $aNeural Information Processing$94519337 997 $aUNISA