| Nome |
# |
|
1-D Convolutional Neural Network for ECG Arrhythmia Classification, file e384c431-1b62-d4b2-e053-9f05fe0a1d67
|
318
|
|
Neural Recurrent Approches to Noninvasive Blood Pressure Estimation, file e384c432-b995-d4b2-e053-9f05fe0a1d67
|
116
|
|
Multi-omics classification on kidney samples exploiting uncertainty-aware models, file e384c432-6221-d4b2-e053-9f05fe0a1d67
|
94
|
|
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network, file e384c432-e5be-d4b2-e053-9f05fe0a1d67
|
80
|
|
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction, file e384c433-a84c-d4b2-e053-9f05fe0a1d67
|
80
|
|
Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study, file e384c432-e3fc-d4b2-e053-9f05fe0a1d67
|
64
|
|
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data, file e384c432-3ae8-d4b2-e053-9f05fe0a1d67
|
63
|
|
Non-linear Autoregressive Neural Networks to Forecast Short-Term Solar Radiation for Photovoltaic Energy Predictions, file e384c430-f1fd-d4b2-e053-9f05fe0a1d67
|
50
|
|
Induction Machine Stator Fault Tracking using the Growing Curvilinear Component Analysis, file e384c432-c67c-d4b2-e053-9f05fe0a1d67
|
46
|
|
Topological Gradient-based Competitive Learning, file e384c434-3dae-d4b2-e053-9f05fe0a1d67
|
17
|
|
Double Channel Neural Non Invasive Blood Pressure Prediction, file e384c432-b695-d4b2-e053-9f05fe0a1d67
|
15
|
|
Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines, file e384c431-89be-d4b2-e053-9f05fe0a1d67
|
11
|
|
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals, file e384c431-ad5b-d4b2-e053-9f05fe0a1d67
|
11
|
|
The GH-EXIN neural network for hierarchical clustering, file e384c431-462f-d4b2-e053-9f05fe0a1d67
|
8
|
|
1-D Convolutional Neural Network for ECG Arrhythmia Classification, file e384c432-892d-d4b2-e053-9f05fe0a1d67
|
8
|
|
Supervised gene identification in colorectal cancer, file e384c430-382d-d4b2-e053-9f05fe0a1d67
|
7
|
|
Shallow Neural Network for Biometrics from the ECG-WATCH, file e384c432-e3fa-d4b2-e053-9f05fe0a1d67
|
7
|
|
A survey on data integration for multi-omics sample clustering, file e384c434-c5af-d4b2-e053-9f05fe0a1d67
|
7
|
|
Neural feature extraction for the analysis of Parkinsonian patient handwriting, file e384c432-336b-d4b2-e053-9f05fe0a1d67
|
6
|
|
Tracking Evolution of Stator-based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network, file 7abaf219-854c-4ecc-b5d6-09d1cb893efb
|
4
|
|
Unsupervised gene identification in colorectal cancer, file e384c430-2e7f-d4b2-e053-9f05fe0a1d67
|
4
|
|
Neural Biclustering in Gene Expression Analysis, file e384c430-382f-d4b2-e053-9f05fe0a1d67
|
4
|
|
Tracking Evolution of Stator-based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network, file 69d0a328-02ef-4821-9bc6-1777a031ec4b
|
3
|
|
‘DNA microarray classification: evolutionary optimization of neural network hyperparameters", file e384c430-36eb-d4b2-e053-9f05fe0a1d67
|
3
|
|
Neural feature extraction for the analysis of Parkinsonian patient handwriting, file e384c431-1b61-d4b2-e053-9f05fe0a1d67
|
3
|
|
The GH-EXIN neural network for hierarchical clustering, file e384c431-5a3d-d4b2-e053-9f05fe0a1d67
|
3
|
|
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data, file e384c432-6c3b-d4b2-e053-9f05fe0a1d67
|
3
|
|
A new unsupervised neural approach to stationary and non-stationary data, file e384c432-748a-d4b2-e053-9f05fe0a1d67
|
3
|
|
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network, file e384c432-76a4-d4b2-e053-9f05fe0a1d67
|
3
|
|
Double Channel Neural Non Invasive Blood Pressure Prediction, file e384c432-e3fd-d4b2-e053-9f05fe0a1d67
|
3
|
|
Deep Learning algorithms for automatic COVID-19 detection on chest X-ray images, file 097e7ec9-f9bb-4966-a70d-50a7d486745c
|
2
|
|
Transformer-based approach to melanoma detection, file d970bc88-02dc-4ca6-93bc-d10810b500fa
|
2
|
|
Non-linear Autoregressive Neural Networks to Forecast Short-Term Solar Radiation for Photovoltaic Energy Predictions, file e384c430-fb17-d4b2-e053-9f05fe0a1d67
|
2
|
|
Neural Epistemology in Dynamical System Learning, file e384c431-1fc2-d4b2-e053-9f05fe0a1d67
|
2
|
|
Neural feature extraction for the analysis of Parkinsonian patient handwriting, file e384c432-37e5-d4b2-e053-9f05fe0a1d67
|
2
|
|
Topological Gradient-based Competitive Learning, file e384c434-3f34-d4b2-e053-9f05fe0a1d67
|
2
|
|
Neural Epistemology in Dynamical System Learning, file e384c434-6231-d4b2-e053-9f05fe0a1d67
|
2
|
|
Deep Learning algorithms for automatic COVID-19 detection on chest X-ray images, file f890560b-a13a-4bb3-8be2-c850c60911fd
|
2
|
|
Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment, file 03678b46-1716-42f9-b43b-5d28e449d911
|
1
|
|
Subspace features and statistical indicators for neural network-based damage detection, file 17500afe-bd55-48cc-b0db-dca76ede8811
|
1
|
|
Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification, file 251f1d72-02a3-429c-8bf5-6fdf6f8209f2
|
1
|
|
Subspace features and statistical indicators for neural network-based damage detection, file 553ae0a9-c3cb-4722-9483-686486f07e7a
|
1
|
|
"DNA microarray classification: a shallow neural network model", file e384c430-382e-d4b2-e053-9f05fe0a1d67
|
1
|
|
1-D Convolutional Neural Network for ECG Arrhythmia Classification, file e384c432-5987-d4b2-e053-9f05fe0a1d67
|
1
|
|
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals, file e384c432-5b03-d4b2-e053-9f05fe0a1d67
|
1
|
|
Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines, file e384c432-5b0c-d4b2-e053-9f05fe0a1d67
|
1
|
|
Shallow Neural Network for Biometrics from the ECG-WATCH, file e384c432-9a58-d4b2-e053-9f05fe0a1d67
|
1
|
|
Neural Recurrent Approches to Noninvasive Blood Pressure Estimation, file e384c432-a05a-d4b2-e053-9f05fe0a1d67
|
1
|
|
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network, file e384c432-c82c-d4b2-e053-9f05fe0a1d67
|
1
|
|
Shallow Neural Network for Biometrics from the ECG-WATCH, file e384c432-cacb-d4b2-e053-9f05fe0a1d67
|
1
|
|
Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study, file e384c432-e3fb-d4b2-e053-9f05fe0a1d67
|
1
|
|
Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification, file f5cbf93e-f222-4fdb-91cf-41850e6a7d7e
|
1
|
| Totale |
1.074 |
Archivio Istituzionale della Ricerca