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Reducing annotation burden in medical imaging with ADGNET: A semi-supervised deep learning strategy
published 04 May 2026
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A robust multi-location evaluation of a machine learning framework for wind power forecasting
published 30 Apr 2026
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A GNN-based approach for accurate trade balance forecasting and interpretable analysis
published 29 Apr 2026
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Syntactic language change in English and German: Metrics, parsers, and convergences
published 28 Apr 2026
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PlantaNet and PlantaNetLite: Efficient and explainable multi-crop plant disease classification via transformer benchmarking and custom lightweight CNNs
published 24 Apr 2026
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CMAP-Fusion: A cross-modal feature selection and model pruning framework for laboratory and imaging data
published 24 Apr 2026
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Neural network architectures and normalization techniques for automated sleep stage classification using rodent EEG and EMG signals
published 23 Apr 2026
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Controlled comparative study of YOLOv8-Pose, YOLOv11-Pose, and Detectron2 for vertebrae detection and keypoint estimation
published 21 Apr 2026
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A hybrid CNN-XLSTM-GRU deep learning model with autoencoder-based feature selection for hypothyroidism diagnosis
published 21 Apr 2026
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LHW-Net: An ensemble-based machine learning framework for brain tumor classification
published 21 Apr 2026
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A cross-dataset harmonized intrusion detection framework with statistically validated multi-model learning
published 20 Apr 2026
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Enhancing symbolic image classification through Gaussian copulas and optimized distinguishing points
published 20 Apr 2026
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CDR-Net: A computerized framework to detect Alzheimer’s diseases and mild cognitive impairment
published 20 Apr 2026
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