The Integrated system for Natural Capital Accounting (INCA) in Europe: twelve lessons learned from empirical ecosystem service accounting

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Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

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The cultivation of Primula palinuri Petagna for ex situ conservation: lessons learned from the Royal Rotterdam Zoological and Botanical Gardens

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‘We want to be the hosts of this story’: Learning from community‐led approaches to data governance of land use for nature recovery

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scHG: A supercell framework with high-order graph learning enables scalable multi-omics analysis

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A hybrid framework for disease biomarker discovery in microbiome research combining Bayesian networks, machine learning, and network-based methods

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New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

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ViralBindPredict: empowering viral protein–ligand binding sites through deep learning and protein sequence-derived insights

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Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

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Correction to: Filling the sustainability gap: what beef industry stakeholders can learn from ranchers on new practice adoption, grazing management plans, and sustainability

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Application of machine learning with MALDI-TOF MS for rapid differentiation between methicillin-susceptible and methicillin-resistant Staphylococcus aureus

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DeepCE: a deep learning framework for correlation-enhanced gene regulatory network inference in single-cell RNA sequencing data

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Machine learning integrated clinical-proteomics data identifies a 6-protein panel signature for atherosclerotic severity and enhanced patient stratification

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Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

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Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach

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Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach

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Intelligent CAD System for Automatic Detection of Mitotic Cells from Breast Cancer Histology Slide Images Based on Teaching-Learning-Based Optimization

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Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

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Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

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