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Self supervised learning based emotion recognition using physiological signals

Frontiers in human neuroscience, 2024-04, Vol.18, p.1334721

2024

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Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning

IEEE transactions on signal processing, 2024-01, Vol.72, p.1634

2024

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Seismic Traveltime Tomography With Label-Free Learning

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1

2024

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FEDDBN-IDS: federated deep belief network-based wireless network intrusion detection system

EURASIP Journal on Information Security, 2024-12, Vol.2024 (1), p.1-20

2024

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Predictive coding with spiking neurons and feedforward gist signaling

Frontiers in computational neuroscience, 2024-04, Vol.18

2024

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MFSynDCP: multi-source feature collaborative interactive learning for drug combination synergy prediction

BMC bioinformatics, 2024-04, Vol.25 (1), p.140-140

2024

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Comprehensive machine learning boosts structure-based virtual screening for PARP1 inhibitors

Journal of cheminformatics, 2024-04, Vol.16 (1), p.40-40

2024

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DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Learning Setup

IEEE transactions on signal processing, 2024-01, Vol.72, p.1824

2024

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Super-Resolution of Radargrams With a Generative Deep Learning Model

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1

2024

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S³ANet: Spatial–Spectral Self-Attention Learning Network for Defending Against Adversarial Attacks in Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1

2024

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DisRot: boosting the generalization capability of few-shot learning via knowledge distillation and self-supervised learning

Machine vision and applications, 2024-05, Vol.35 (3), p.51

2024

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Renal Pathological Image Classification Based on Contrastive and Transfer Learning

Electronics (Basel), 2024-04, Vol.13 (7), p.1403

2024

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A weakly supervised end-to-end framework for semantic segmentation of cancerous area in whole slide image

Pattern analysis and applications : PAA, 2024-06, Vol.27 (2)

2024

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Synergizing multiple machine learning techniques and remote sensing for advanced landslide susceptibility assessment: a case study in the Three Gorges Reservoir Area

Environmental earth sciences, 2024-04, Vol.83 (8), p.227

2024

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A GRU-CNN model for auditory attention detection using microstate and recurrence quantification analysis

Scientific reports, 2024-04, Vol.14 (1), p.8861-18

2024

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Performance and robustness of small molecule retention time prediction with molecular graph neural networks in industrial drug discovery campaigns

Scientific reports, 2024-04, Vol.14 (1), p.8733-8733

2024

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Predicting the complexity and mortality of polytrauma patients with machine learning models

Scientific reports, 2024-04, Vol.14 (1), p.8302-8302

2024

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Leveraging transfer learning with deep learning for crime prediction

PloS one, 2024-04, Vol.19 (4), p.e0296486

2024

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Enhanced Forecasting Accuracy of a Grid-Connected Photovoltaic Power Plant: A Novel Approach Using Hybrid Variational Mode Decomposition and a CNN-LSTM Model

Energies (Basel), 2024-04, Vol.17 (7), p.1781

2024

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Forward layer-wise learning of convolutional neural networks through separation index maximizing

Scientific reports, 2024-04, Vol.14 (1), p.8576-8576

2024

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DLSIA: Deep Learning for Scientific Image Analysis

Journal of applied crystallography, 2024-04, Vol.57 (2), p.392-402

2024

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Using internal standards in time-resolved X-ray micro-computed tomography to quantify grain-scale developments in solid-state mineral reactions

Solid earth (Göttingen), 2024-04, Vol.15 (4), p.493-512

2024

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Fraud Detection Using Machine Learning and Deep Learning

SN computer science, 2024-06, Vol.5 (5), p.453

2024

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Predicting the effect of chemicals on fruit using graph neural networks

Scientific reports, 2024-04, Vol.14 (1), p.8203-8203

2024

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Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images

Sensors (Basel, Switzerland), 2024-04, Vol.24 (7), p.2034

2024

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Self supervised learning based emotion recognition using physiological signals

Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning

Seismic Traveltime Tomography With Label-Free Learning

FEDDBN-IDS: federated deep belief network-based wireless network intrusion detection system

Predictive coding with spiking neurons and feedforward gist signaling

MFSynDCP: multi-source feature collaborative interactive learning for drug combination synergy prediction

Comprehensive machine learning boosts structure-based virtual screening for PARP1 inhibitors

DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Learning Setup

Super-Resolution of Radargrams With a Generative Deep Learning Model

S³ANet: Spatial–Spectral Self-Attention Learning Network for Defending Against Adversarial Attacks in Hyperspectral Image Classification

DisRot: boosting the generalization capability of few-shot learning via knowledge distillation and self-supervised learning

Renal Pathological Image Classification Based on Contrastive and Transfer Learning

A weakly supervised end-to-end framework for semantic segmentation of cancerous area in whole slide image

Synergizing multiple machine learning techniques and remote sensing for advanced landslide susceptibility assessment: a case study in the Three Gorges Reservoir Area

A GRU-CNN model for auditory attention detection using microstate and recurrence quantification analysis

Performance and robustness of small molecule retention time prediction with molecular graph neural networks in industrial drug discovery campaigns

Predicting the complexity and mortality of polytrauma patients with machine learning models

Leveraging transfer learning with deep learning for crime prediction

Enhanced Forecasting Accuracy of a Grid-Connected Photovoltaic Power Plant: A Novel Approach Using Hybrid Variational Mode Decomposition and a CNN-LSTM Model

Forward layer-wise learning of convolutional neural networks through separation index maximizing

DLSIA: Deep Learning for Scientific Image Analysis

Using internal standards in time-resolved X-ray micro-computed tomography to quantify grain-scale developments in solid-state mineral reactions

Fraud Detection Using Machine Learning and Deep Learning

Predicting the effect of chemicals on fruit using graph neural networks

Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images

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