001481094 000__ 07207cam\\2200625\i\4500 001481094 001__ 1481094 001481094 003__ OCoLC 001481094 005__ 20231031003322.0 001481094 006__ m\\\\\o\\d\\\\\\\\ 001481094 007__ cr\cn\nnnunnun 001481094 008__ 230926s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001481094 019__ $$a1399377447 001481094 020__ $$a9783031442070$$q(electronic bk.) 001481094 020__ $$a3031442075$$q(electronic bk.) 001481094 020__ $$z9783031442063 001481094 0247_ $$a10.1007/978-3-031-44207-0$$2doi 001481094 035__ $$aSP(OCoLC)1399536244 001481094 040__ $$aGW5XE$$beng$$epn$$erda$$cGW5XE$$dOCLKB$$dOCLKB$$dEBLCP$$dOCLKB 001481094 049__ $$aISEA 001481094 050_4 $$aQA76.87 001481094 08204 $$a006.3/2$$223/eng/20230926 001481094 1112_ $$aInternational Conference on Artificial Neural Networks (European Neural Network Society)$$n(32nd :$$d2023 :$$cĒrakleion, Greece) 001481094 24510 $$aArtificial neural networks and machine learning - ICANN 2023 :$$b32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.$$nPart I /$$cLazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne, editors. 001481094 24630 $$aICANN 2023 001481094 264_1 $$aCham :$$bSpringer,$$c[2023] 001481094 264_4 $$c©2023 001481094 300__ $$a1 online resource (xxxv, 593 pages) :$$billustrations (chiefly color). 001481094 336__ $$atext$$btxt$$2rdacontent 001481094 337__ $$acomputer$$bc$$2rdamedia 001481094 338__ $$aonline resource$$bcr$$2rdacarrier 001481094 4901_ $$aLecture notes in computer science ;$$v14254 001481094 500__ $$aInternational conference proceedings. 001481094 500__ $$aIncludes author index. 001481094 5050_ $$aA classification performance evaluation measure considering data separability -- A Cross-Modal View to Utilize Label Semantics for Enhancing Student Network in Multi-Label Classification -- A Hybrid Model Based on Samples Difficulty for Imbalanced Data Classification -- A New Dataset for Hair Follicle Recognition and Classification in Robot-Aided Hair Transplantation -- A Policy for Early Sequence Classification -- A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases -- An Ensemble Scheme Based on the Optimization of TOPSIS and AdaBoost for In-class Teaching Quality Evaluation -- Architecturing Binarized Neural Networks for Traffic Sign Recognition -- Boosting Few-Shot Classification with Lie Group Contrastive Learning -- Context Enhancement Methodology for action recognition in still images -- Discrete Denoising Diffusion Approach to Integer Factorization -- Distinguishing the correctness of knowledge makes knowledge transfer better -- Diversified Contrastive Learning For Few-Shot Classification -- Enhancing Cross-lingual Few-shot Named Entity Recognition by Prompt-guiding -- FAIR: A Causal Framework for Accurately Inferring Judgments Reversals -- FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification -- FFTRL: A Sparse Online Kernel Classification Algorithm for Large Scale Data -- Fusing Hand and Body Skeletons for Human Action Recognition in Assembly -- Gaze Behavior Patterns for Early Drowsiness Detection -- GH-QFL: Enhancing Industrial Defect Detection through Hard Example Mining -- HaarStyle:Revision Style Transfer Based on Multiple Resolutions -- Semi-Supervised Learning Classifier for Misinformation Related to Earthquakes Prediction on Social Media -- SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification -- Sparse Block DETR: Precise and Speedy End-to-End Detector for PCB Defect Detection -- SWP:A Sliding Window Prompt for Emotion Recognition in Conversation -- VDCNet: A Vulnerability Detection and Classification System in Cross-Project Scenarios -- CFNet: Point Cloud Upsampling via Cascaded Feedback Network -- DA-TSD: Double Attention Two-Stage 3D Object Detector from Point Clouds -- Enhanced Point Cloud Interpretation via Style Fusion and Contrastive Learning in Advanced 3D Data Analysis -- PoinLin-Net: Point Cloud Completion Network Based on Geometric Feature Extraction and Linformer Structure -- Accurate detection of spiking motifs in multi-unit raster plots -- Context-dependent computations in spiking neural networks with apical modulation -- QMTS: Fixed-point quantization for multiple-timescale spiking neural networks -- Self-Organizing Temporally Coded Representation Learning -- A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot -- Clarifying the Half Full or Half Empty Question: Multimodal Container Classification -- CycleIK: Neuro-inspired Inverse Kinematics -- Robot at the mirror: learning to imitate via associating self-supervised models -- Approximation of Binary-Valued Functions by Networks of Finite VC Dimension -- Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures -- Improving Neural Network Verification Efficiency through Perturbation Refinement -- Relative intrinsic dimensionality is intrinsic to learning -- The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning -- Componentwise Adversarial Attacks -- Decorelated Weight Initialization by Backpropagation -- Exploring individuality in human EEG using reservoir computing -- Learning efficient backprojections across cortical hierarchies in real time -- Neural self-organization for muscle-driven robots -- Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization -- Reinforcement Learning with Memory based Automatic Chunking for Complex Skill Acquisition -- Retinotopy improves the categorisation and localisation of visual objects in CNNs -- Safe Reinforcement Learning in a Simulated Robotic Arm. 001481094 506__ $$aAccess limited to authorized users. 001481094 520__ $$aThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 2629, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications. . 001481094 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 26, 2023). 001481094 650_0 $$aNeural networks (Computer science)$$vCongresses.$$vCongresses$$0(DLC)sh2008108385 001481094 650_0 $$aMachine learning$$vCongresses.$$vCongresses$$0(DLC)sh2008107143 001481094 650_0 $$aArtificial intelligence$$vCongresses.$$xMedical applications$$0(DLC)sh 88003000 001481094 655_0 $$aElectronic books. 001481094 655_7 $$aConference papers and proceedings.$$2lcgft 001481094 7001_ $$aIliadis, Lazaros S.,$$eeditor.$$0(OCoLC)oca08617580 001481094 7001_ $$aPapaleonidas, Antonios,$$eeditor. 001481094 7001_ $$aAngelov, Plamen P.,$$eeditor. 001481094 7001_ $$aJayne, Chrisina,$$eeditor.$$0(Uk)008383335 001481094 830_0 $$aLecture notes in computer science ;$$v14254. 001481094 852__ $$bebk 001481094 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44207-0$$zOnline Access$$91397441.1 001481094 909CO $$ooai:library.usi.edu:1481094$$pGLOBAL_SET 001481094 980__ $$aBIB 001481094 980__ $$aEBOOK 001481094 982__ $$aEbook 001481094 983__ $$aOnline 001481094 994__ $$a92$$bISE