Nome |
# |
Handwriting analysis to support neurodegenerative diseases diagnosis: A review, file dd9e0c6c-696a-1e9c-e053-3a05fe0a45ef
|
810
|
Machine learning applications on agricultural datasets for smart farm enhancement, file dd9e0c65-52b4-1e9c-e053-3a05fe0a45ef
|
330
|
Script Identification of Multi-Script Documents: a Survey, file dd9e0c6a-0381-1e9c-e053-3a05fe0a45ef
|
169
|
TrafficWave: Generative deep learning architecture for vehicular traffic flow prediction, file dd9e0c66-e33f-1e9c-e053-3a05fe0a45ef
|
105
|
eHealth and Artificial Intelligence, file dd9e0c65-9bfe-1e9c-e053-3a05fe0a45ef
|
86
|
Dynamic handwriting analysis for the assessment of neurodegenerative diseases: a pattern recognition perspective, file dd9e0c6a-aefe-1e9c-e053-3a05fe0a45ef
|
78
|
Attentional Pattern Classification for Automatic Dementia Detection, file dd9e0c6a-2ce4-1e9c-e053-3a05fe0a45ef
|
72
|
LICIC: Less important components for imbalanced multiclass classification, file dd9e0c69-acfa-1e9c-e053-3a05fe0a45ef
|
70
|
Vehicular traffic congestion classification by visual features and deep learning approaches: A comparison, file dd9e0c66-13e8-1e9c-e053-3a05fe0a45ef
|
63
|
Dynamic Handwriting Analysis for Supporting Earlier Parkinson’s Disease Diagnosis, file dd9e0c65-6755-1e9c-e053-3a05fe0a45ef
|
60
|
A Perspective Analysis of Handwritten Signature Technology, file dd9e0c65-77de-1e9c-e053-3a05fe0a45ef
|
60
|
A Perspective Analysis of Handwritten Signature Technology, file ee1def6b-21d5-4f44-b0a4-8e5ae1cf1e34
|
60
|
Dynamic handwriting analysis for the assessment of neurodegenerative diseases: a pattern recognition perspective, file 9d80426c-2b21-49ae-9c65-175f6fe2b107
|
54
|
Detection and validation of tow-away road sign licenses through deep learning methods, file dd9e0c65-8128-1e9c-e053-3a05fe0a45ef
|
42
|
A survey on traffic light detection, file dd9e0c69-a0e5-1e9c-e053-3a05fe0a45ef
|
19
|
Multidomain Verification of Dynamic Signatures Using Local Stability Analysis, file dd9e0c64-69d9-1e9c-e053-3a05fe0a45ef
|
16
|
Personal digital bodyguards for e-security, e-learning and e-health: A prospective survey, file dd9e0c65-4f58-1e9c-e053-3a05fe0a45ef
|
13
|
Dynamically enhanced static handwriting representation for Parkinson's disease detection, file dd9e0c6a-824f-1e9c-e053-3a05fe0a45ef
|
11
|
Artificial intelligence applications to smart city and smart enterprise, file dd9e0c68-2719-1e9c-e053-3a05fe0a45ef
|
9
|
Stability Analysis of Dynamic Signatures in Multiple Representation Domains: Application to Automatic Signature Verification, file dd9e0c64-2f07-1e9c-e053-3a05fe0a45ef
|
6
|
About Retraining Rule in Multi-Expert Intelligent System for Semi-Supervised learning using SVM classifiers, file dd9e0c64-2f05-1e9c-e053-3a05fe0a45ef
|
5
|
Special Issue on Handwriting recognition and other PR applications, file dd9e0c64-65a3-1e9c-e053-3a05fe0a45ef
|
5
|
Early diagnosis of neurodegenerative diseases by handwritten signature analysis, file dd9e0c69-bf4f-1e9c-e053-3a05fe0a45ef
|
5
|
null, file dd9e0c65-6ce1-1e9c-e053-3a05fe0a45ef
|
4
|
Open data e digitalizzazione della PA: L’Italia si caratterizza ancora dall’assenza di una visione politica chiara e lungimirante, file dd9e0c68-bbdd-1e9c-e053-3a05fe0a45ef
|
4
|
Interoperability of biometric systems: Analysis of geometric characteristics of handwritten signatures, file dd9e0c69-e0b2-1e9c-e053-3a05fe0a45ef
|
4
|
Recent Advances in Offline Signature Identification, file dd9e0c62-6b71-1e9c-e053-3a05fe0a45ef
|
3
|
null, file dd9e0c66-51f6-1e9c-e053-3a05fe0a45ef
|
3
|
An unsupervised behavioral analysis of highway traffic flow for security applications, file dd9e0c69-bd03-1e9c-e053-3a05fe0a45ef
|
3
|
Human Gait Analysis in Neurodegenerative Diseases: a Review, file dd9e0c6b-96d6-1e9c-e053-3a05fe0a45ef
|
3
|
A Handwriting-Based Protocol for Assessing Neurodegenerative Dementia, file 6354cd4a-e179-42dd-ac7f-6df267f92de8
|
2
|
Fuzzy-Zoning-Based Classification for Handwritten Characters, file dd9e0c62-6095-1e9c-e053-3a05fe0a45ef
|
2
|
On-line Signature Verification by Multi-Domain Classification, file dd9e0c62-6273-1e9c-e053-3a05fe0a45ef
|
2
|
Towards a Digitized Protocol based on Handwriting for the Assessment of Neurodegenerative Disorders, file dd9e0c64-b193-1e9c-e053-3a05fe0a45ef
|
2
|
An overview on on-line handwriting analysis for the assessment of AD and PD, file dd9e0c65-3d2c-1e9c-e053-3a05fe0a45ef
|
2
|
A controlled benchmark of video violence detection techniques, file dd9e0c68-eb11-1e9c-e053-3a05fe0a45ef
|
2
|
Gait Analysis for Early Neurodegenerative Diseases Classification through the Kinematic Theory of Rapid Human Movements, file dd9e0c69-a7ab-1e9c-e053-3a05fe0a45ef
|
2
|
A comparative study of shallow learning and deep transfer learning techniques for accurate fingerprints vitality detection, file f3bebbf5-3a65-45dd-96f4-01f1368cf506
|
2
|
An innovative two-stage algorithm to optimize Firewall rule ordering, file 5047e6b8-11e2-4cfb-ac16-d3a7cf8e45de
|
1
|
Voronoi-based Zoning Design by Multi-Objective Genetic Optimization, file dd9e0c62-67ee-1e9c-e053-3a05fe0a45ef
|
1
|
Handwriting Recognition: State of the Art and Future Trends, file dd9e0c62-6efb-1e9c-e053-3a05fe0a45ef
|
1
|
Handwritten Signature Verification: New Advancements and Open Issues, file dd9e0c62-716f-1e9c-e053-3a05fe0a45ef
|
1
|
Adaptive score normalization for output integration in multiclassifier systems, file dd9e0c62-7c2f-1e9c-e053-3a05fe0a45ef
|
1
|
Engineering Problem Solving Learning Objects to teach Processing Systems: an empirical approach, file dd9e0c62-7cfb-1e9c-e053-3a05fe0a45ef
|
1
|
A Multi-Resolution Multi-Classifier System for Speaker Verification, file dd9e0c62-815e-1e9c-e053-3a05fe0a45ef
|
1
|
Stability-based system for bearing fault early detection, file dd9e0c64-1c7d-1e9c-e053-3a05fe0a45ef
|
1
|
null, file dd9e0c66-51f4-1e9c-e053-3a05fe0a45ef
|
1
|
A Deep Learning Approach to Generate Offline Handwritten Signatures Based on Online Samples, file dd9e0c69-a974-1e9c-e053-3a05fe0a45ef
|
1
|
Automatic signature verification in the mobile cloud scenario: survey and way ahead, file dd9e0c69-ad03-1e9c-e053-3a05fe0a45ef
|
1
|
Investigating the Sigma-Lognormal Model for Disease Classification by Handwriting, file dd9e0c6a-62df-1e9c-e053-3a05fe0a45ef
|
1
|
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath, file dd9e0c6c-5230-1e9c-e053-3a05fe0a45ef
|
1
|
Totale |
2.201 |