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Multi-Input data ASsembly for joint Analysis

PloS one, 2024-05, Vol.19 (5), p.e0302425

2024

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A threat from within: Learning to fear by observing aversive bodily symptoms in others

Behaviour research and therapy, 2024-07, Vol.178, p.104555-104555, Article 104555

2024

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Transfer Learning-Based Hyperspectral Image Classification Using Residual Dense Connection Networks

Sensors (Basel, Switzerland), 2024-04, Vol.24 (9), p.2664

2024

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Cross-sensor transfer learning for fire smoke scene detection using variable-bands multi-spectral satellite imagery aided by spectral patterns

International journal of remote sensing, 2024-05, Vol.45 (10), p.3332-3348

2024

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Local-Global Representation Enhancement for Multi-View Graph Clustering

Electronics (Basel), 2024-05, Vol.13 (9), p.1788

2024

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Knowledge, skills and attitude of mobile learning among BSN students

Global journal of medicine and public health, 2024-05, Vol.8 (2)

2024

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Semi-supervised few-shot class-incremental learning based on dynamic topology evolution

Engineering applications of artificial intelligence, 2024-07, Vol.133, Article 108528

2024

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Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders

Pattern recognition, 2024-09, Vol.153, Article 110559

2024

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Data-Driven, Explainable Machine Learning Model for Predicting Volatile Organic Compounds' Standard Vaporization Enthalpy

Chemosphere (Oxford), 2024-05, p.142257-142257

2024

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Improving the reliability of deep learning computational ghost imaging with prediction uncertainty based on neighborhood feature maps

Applied optics (2004), 2024-05, Vol.63 (14), p.3736

2024

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L2 listening in a digital era: Developing and validating the mobile-assisted self-regulated listening strategy questionnaire (MSRLS-Q)

System (Linköping), 2024-07, Vol.123, Article 103310

2024

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Detection of tuberculosis using customized MobileNet and transfer learning from chest X-ray image

Image and vision computing, 2024-07, Vol.147, Article 105063

2024

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Application of reinforcement learning to deduce nuclear power plant severe accident scenario

Annals of nuclear energy, 2024-09, Vol.205, Article 110605

2024

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Identification of Students with Similar Performances in Micro-Learning Programming Courses with Automatically Evaluated Student Assignments

Applied sciences, 2024-05, Vol.14 (9), p.3615

2024

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Long-term effects of Preweaning environmental impoverishment on neurobehavioral and neurocognitive outcomes in Sprague Dawley rats: An early environmental stress model

Neurotoxicology and teratology, 2024-05, Vol.103, p.107356-107356

2024

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Transfer learning via random forests: A one-shot federated approach

Computational statistics & data analysis, 2024-09, Vol.197, Article 107975

2024

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Implementing a challenge-based learning experience in a bioinstrumentation blended course

BMC medical education, 2024-05, Vol.24 (1), p.510-510

2024

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Named entity recognition model based on Multi‐BiLSTM and competition mechanism

Electronics letters, 2024-05, Vol.60 (9), p.n/a

2024

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Vocational teachers’ perceptions on workplace learning in facilitating students’ professional engagement in the context of industry-university collaboration in China

The journal of workplace learning, 2024-05, Vol.36 (4), p.282-297

2024

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TB-Net: Intra- and inter-video correlation learning for continuous sign language recognition

Information fusion, 2024-09, Vol.109, Article 102438

2024

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Privacy-preserving and scalable federated blockchain scheme for healthcare 4.0

Computer networks (Amsterdam, Netherlands : 1999), 2024-06, Vol.247, Article 110472

2024

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A reliable deep-learning-based method for alveolar bone quantification using a murine model of periodontitis and micro-computed tomography imaging

Journal of dentistry, 2024-05, p.105057-105057

2024

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Incremental and sequence learning algorithms for weighted regularized extreme learning machines

Applied intelligence (Dordrecht, Netherlands), 2024, Vol.54 (7), p.5859-5878

2024

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Analysis of 3D pathology samples using weakly supervised AI

Cell, 2024-05, Vol.187 (10), p.2502-2520.e17

2024

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A New Method for Detecting the Fatigue Using Automated Deep Learning Techniques for Medical Imaging Applications

Wireless personal communications, 2024, Vol.135 (2), p.1009-1034

2024

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Multi-Input data ASsembly for joint Analysis

A threat from within: Learning to fear by observing aversive bodily symptoms in others

Transfer Learning-Based Hyperspectral Image Classification Using Residual Dense Connection Networks

Cross-sensor transfer learning for fire smoke scene detection using variable-bands multi-spectral satellite imagery aided by spectral patterns

Local-Global Representation Enhancement for Multi-View Graph Clustering

Knowledge, skills and attitude of mobile learning among BSN students

Semi-supervised few-shot class-incremental learning based on dynamic topology evolution

Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders

Data-Driven, Explainable Machine Learning Model for Predicting Volatile Organic Compounds' Standard Vaporization Enthalpy

Improving the reliability of deep learning computational ghost imaging with prediction uncertainty based on neighborhood feature maps

L2 listening in a digital era: Developing and validating the mobile-assisted self-regulated listening strategy questionnaire (MSRLS-Q)

Detection of tuberculosis using customized MobileNet and transfer learning from chest X-ray image

Application of reinforcement learning to deduce nuclear power plant severe accident scenario

Identification of Students with Similar Performances in Micro-Learning Programming Courses with Automatically Evaluated Student Assignments

Long-term effects of Preweaning environmental impoverishment on neurobehavioral and neurocognitive outcomes in Sprague Dawley rats: An early environmental stress model

Transfer learning via random forests: A one-shot federated approach

Implementing a challenge-based learning experience in a bioinstrumentation blended course

Named entity recognition model based on Multi‐BiLSTM and competition mechanism

Vocational teachers’ perceptions on workplace learning in facilitating students’ professional engagement in the context of industry-university collaboration in China

TB-Net: Intra- and inter-video correlation learning for continuous sign language recognition

Privacy-preserving and scalable federated blockchain scheme for healthcare 4.0

A reliable deep-learning-based method for alveolar bone quantification using a murine model of periodontitis and micro-computed tomography imaging

Incremental and sequence learning algorithms for weighted regularized extreme learning machines

Analysis of 3D pathology samples using weakly supervised AI

A New Method for Detecting the Fatigue Using Automated Deep Learning Techniques for Medical Imaging Applications

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