Artificial neural networks and machi...
International Conference on Artificial Neural Networks (European Neural Network Society) (2023 :)

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  • Artificial neural networks and machine learning - ICANN 2023 = 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.. Part IX /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Artificial neural networks and machine learning - ICANN 2023/ edited by Lazaros Iliadis ... [et al.].
    Reminder of title: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023 : proceedings.
    remainder title: ICANN 2023
    other author: Iliadis, Lazaros S.
    corporate name: International Conference on Artificial Neural Networks (European Neural Network Society)
    Published: Cham :Springer Nature Switzerland : : 2023.,
    Description: xxxiv, 523 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: MEA-TransUNet: a Multiple External Attention Network for Multi-Organ Segmentation -- Membership-Grade Based Prototype Rectification for Fine-Grained Few-Shot Classification -- Multi-grained Aspect Fusion for Review Response Generation -- Multiple Object Tracking based on Variable GIoU-Embedding Matrix and Kalman Filter Compensation -- Multi-relation Identification for Few-shot Document-level Relation Extraction -- Multi-Task Learning for Mongolian Morphological Analysis -- Multi-task Pre-training for Lhasa-Tibetan Speech Recognition -- Mutual Information Dropout: Mutual Information Can Be All You Need -- Non-Outlier Pseudo-Labeling for Short Text Clustering -- Optimal Node Embedding Dimension Selection Using Overall Entropy -- PairEE: A Novel Pairing-Scoring Approach for Better Overlapping Event Extraction -- PCB Component Rotation Detection Based on Polarity Identifier Attention -- PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation -- PlantDet: A benchmark for Plant Detection in the Three-Rivers-Source Region -- PO-DARTS: Post-Optimizing the Architectures Searched by Differentiable Architecture Search Algorithms -- Predicting high vs low mother-baby synchrony with GRU-based ensemble models -- Properties of the weighted and robust implicitly weighted correlation coefficients -- PSML: Prototype-Based OSSL Framework for Multi-Information Mining -- Pure Physics-Informed Echo State Network of ODE Solution Replicator -- RegionRel:A Framework for Jointly Extracting Relational Triplets by Performing Sub-tasks by Region -- Robustness to Variability and Asymmetry of In-memory On-chip Training -- Selecting Distinctive-Variant Training Samples Base on Intra-class Similarity -- Semantic Information Mining and Fusion Method for Bot Detection -- Semilayer-Wise Partial Quantization without Accuracy Degradation or Back Propagation -- ShadowGAN for Line Drawings Shadow Generation -- Ship Attitude Prediction Based on Dynamic Sliding Window and EEMD-SSA-BiLSTM -- Solving Math Word Problem with External Knowledge and Entailment Loss -- Spatially Invariant and Frequency-Aware CycleGAN for Unsupervised MR-to-CT Synthesis -- Spatio-temporal Attention Model with Prior Knowledge for Solar Wind Speed Prediction -- Spatiotemporal model with attention mechanism for ENSO Predictions -- SPM-Diffusion for Temperature Prediction -- S-SOLVER: Numerically stable adaptive step size solver for neural ODEs -- TableSF: A Structural Bias Framework for Table-to-Text Generation -- TCS-LipNet:Temporal & Channel & Spatial Attention-based Lip Reading Network -- The Dynamic Selection of Combination Methods in Classifier Ensembles by Region of Competence -- The progressive detectors and discriminative feature descriptors combining global and local information -- Towards Better Dialogue Utterance Rewriting via a Gated Span-Copy Mechanism -- TSP Combination Optimization with Semi-local Attention Mechanism -- UDCGN: Uncertainty-Driven Cross-Guided Network for Depth Completion of Transparent Objects -- Use of Machine Learning Algorithms to Analyze the Digit Recognizer Problem in an Effective Manner -- Vulnerability Analysis of Continuous Prompts for Pre-trained Language Models.
    Contained By: Springer Nature eBook
    Subject: Neural networks (Computer science) - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-44201-8
    ISBN: 9783031442018
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