| Nome |
# |
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Data stream classification by dynamic incremental semi-supervised fuzzy clustering, file dd9e0c6c-4d48-1e9c-e053-3a05fe0a45ef
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170
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FISDeT: Fuzzy Inference System Development Tool, file dd9e0c63-e28c-1e9c-e053-3a05fe0a45ef
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114
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PeppeRecycle: Improving Children’s Attitude Toward Recycling by Playing with a Social Robot, file dd9e0c6a-e4af-1e9c-e053-3a05fe0a45ef
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95
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Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules, file dd9e0c65-815c-1e9c-e053-3a05fe0a45ef
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83
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The FISDeT software: Application to beer style classification, file dd9e0c6c-5d23-1e9c-e053-3a05fe0a45ef
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70
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MR Brain Image Segmentation: A Framework to Compare Different Clustering Techniques, file dd9e0c64-c50f-1e9c-e053-3a05fe0a45ef
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61
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RECODE: Revision Control for Digital Images, file dd9e0c6c-3124-1e9c-e053-3a05fe0a45ef
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61
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Classification of mineral inclusions in ancient ceramics: comparing different modal analysis strategies, file dd9e0c6c-7e0c-1e9c-e053-3a05fe0a45ef
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45
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Advanced Programming of Intelligent Social Robots, file dd9e0c67-3165-1e9c-e053-3a05fe0a45ef
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35
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Shape annotation for intelligent image retrieval, file dd9e0c6c-5d21-1e9c-e053-3a05fe0a45ef
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30
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Data stream classification by dynamic incremental semi-supervised fuzzy clustering, file dd9e0c66-8b80-1e9c-e053-3a05fe0a45ef
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25
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The FISDeT software: Application to beer style classification, file dd9e0c64-ba81-1e9c-e053-3a05fe0a45ef
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14
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Multi-view Convolutional Network for Crowd Counting in Drone-Captured Images, file dd9e0c6a-a7e9-1e9c-e053-3a05fe0a45ef
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12
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Crowd Detection in Aerial Images Using Spatial Graphs and Fully-Convolutional Neural Networks, file dd9e0c66-6585-1e9c-e053-3a05fe0a45ef
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11
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RECODE: Revision Control for Digital Images, file dd9e0c6b-a830-1e9c-e053-3a05fe0a45ef
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10
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Revision Control System for Image Editing in Collaborative Multimedia Design, file dd9e0c68-4db4-1e9c-e053-3a05fe0a45ef
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9
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Crowd Counting from Unmanned Aerial Vehicles with Fully-Convolutional Neural Networks, file dd9e0c68-cc35-1e9c-e053-3a05fe0a45ef
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9
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A Predictive Model for MicroRNA Expressions in Pediatric Multiple Sclerosis Detection, file dd9e0c65-f549-1e9c-e053-3a05fe0a45ef
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8
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null, file dd9e0c68-53f7-1e9c-e053-3a05fe0a45ef
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8
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Shape annotation for intelligent image retrieval, file dd9e0c6b-09d0-1e9c-e053-3a05fe0a45ef
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8
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Drone safe-landing with real-time route optimization, file dd9e0c6b-866b-1e9c-e053-3a05fe0a45ef
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8
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null, file dd9e0c65-a229-1e9c-e053-3a05fe0a45ef
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7
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Editorial of Special Issue on Fuzzy Logic for Image Processing, file dd9e0c64-c510-1e9c-e053-3a05fe0a45ef
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6
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Incremental adaptive semi-supervised fuzzy clustering for data stream classification, file dd9e0c65-72b9-1e9c-e053-3a05fe0a45ef
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6
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Credit card fraud detection by dynamic incremental semi-supervised fuzzy clustering, file dd9e0c68-a452-1e9c-e053-3a05fe0a45ef
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6
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Preliminary Evaluation of TinyYOLO on a New Dataset for Search-and-Rescue with Drones, file dd9e0c6a-6141-1e9c-e053-3a05fe0a45ef
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6
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Computational Intelligence in Healthcare, file dd9e0c6b-4744-1e9c-e053-3a05fe0a45ef
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6
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Fine Art Pattern Extraction and Recognition, file dd9e0c6b-4f84-1e9c-e053-3a05fe0a45ef
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6
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Classification of mineral inclusions in ancient ceramics: comparing different modal analysis strategies, file dd9e0c69-a729-1e9c-e053-3a05fe0a45ef
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5
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VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results, file dd9e0c6a-5b14-1e9c-e053-3a05fe0a45ef
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5
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null, file 21ef75df-2c9b-4786-9768-97ba307268cf
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4
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null, file dd9e0c62-5fde-1e9c-e053-3a05fe0a45ef
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4
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Thinking of a system for image retrieval, file dd9e0c62-6fed-1e9c-e053-3a05fe0a45ef
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4
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null, file dd9e0c64-0f60-1e9c-e053-3a05fe0a45ef
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4
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null, file dd9e0c66-19ad-1e9c-e053-3a05fe0a45ef
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4
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null, file dd9e0c67-14c5-1e9c-e053-3a05fe0a45ef
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4
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Visual link retrieval and knowledge discovery in painting datasets, file dd9e0c6a-eb78-1e9c-e053-3a05fe0a45ef
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4
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A Predictive Model for MicroRNA Expressions in Pediatric Multiple Sclerosis Detection, file dd9e0c6b-13b7-1e9c-e053-3a05fe0a45ef
|
4
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Editorial for Special Issue "Fine Art Pattern Extraction and Recognition", file dd9e0c6b-917a-1e9c-e053-3a05fe0a45ef
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4
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Human Detection in Drone Images Using YOLO for Search-and-Rescue Operations, file 37f1deba-dc87-4ed8-8dd3-cd1264ba456d
|
3
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null, file dd9e0c66-0ee1-1e9c-e053-3a05fe0a45ef
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3
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null, file dd9e0c66-fa10-1e9c-e053-3a05fe0a45ef
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3
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null, file dd9e0c67-3e3b-1e9c-e053-3a05fe0a45ef
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3
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ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs, file dd9e0c68-ca6e-1e9c-e053-3a05fe0a45ef
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3
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2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), file dd9e0c69-556e-1e9c-e053-3a05fe0a45ef
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3
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Computational Intelligence for Digital Health: A brief summary of our research work, file dd9e0c6a-a9a9-1e9c-e053-3a05fe0a45ef
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3
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Explaining Ovarian Cancer Gene Expression Profiles with Fuzzy Rules and Genetic Algorithms, file dd9e0c6a-eed4-1e9c-e053-3a05fe0a45ef
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3
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Tecniche di Computer Vision per applicazioni di IA sostenibile mediante droni, file dd9e0c6b-a66a-1e9c-e053-3a05fe0a45ef
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3
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Analisi e valorizzazione del patrimonio artistico mediante Intelligenza Artificiale, file dd9e0c6b-b323-1e9c-e053-3a05fe0a45ef
|
3
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null, file dd9e0c6b-c414-1e9c-e053-3a05fe0a45ef
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3
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Incremental adaptive semi-supervised fuzzy clustering for data stream classification, file dd9e0c6b-d0b5-1e9c-e053-3a05fe0a45ef
|
3
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A mobile app for contactless measurement of vital signs through remote Photoplethysmography, file 4c78bb24-334e-4394-83ac-da92c8ed37a2
|
2
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Effect of fuzziness in fuzzy rule-based classifiers defined by strong fuzzy partitions and winner-takes-all inference, file 4f8fd516-0ac6-4549-82e0-2d6bb4dce9d1
|
2
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PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries, file 8e46a1e7-89ab-4960-aab0-e38dbd14305b
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2
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null, file dd9e0c62-4644-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c62-505d-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c62-52ae-1e9c-e053-3a05fe0a45ef
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2
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Using adaptive thresholding and skewness correction to detect gray areas in melanoma in situ images, file dd9e0c62-6b2f-1e9c-e053-3a05fe0a45ef
|
2
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DCf : A Double Clustering framework for fuzzy information granulation, file dd9e0c62-7849-1e9c-e053-3a05fe0a45ef
|
2
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Shape Retrieval by Partially Supervised Fuzzy
Clustering, file dd9e0c62-811c-1e9c-e053-3a05fe0a45ef
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2
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On the use of Soft Computing techniques for Web Personalization, file dd9e0c62-8908-1e9c-e053-3a05fe0a45ef
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2
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Incremental indexing of objects in pictorial databases, file dd9e0c64-1144-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c64-c1f1-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c66-d299-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c66-ecf6-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c66-fee6-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c66-feec-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c67-025d-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c67-0261-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c67-0e95-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c67-3867-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c67-3c41-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c67-46de-1e9c-e053-3a05fe0a45ef
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2
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A mHealth solution for contact-less self-monitoring of blood oxygen saturation, file dd9e0c68-9623-1e9c-e053-3a05fe0a45ef
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2
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Search-and-Rescue From Drones With Computer Vision, file dd9e0c68-9dfd-1e9c-e053-3a05fe0a45ef
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2
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The Importance of the Temporal Factor in Educational Data Mining, file dd9e0c68-fdc8-1e9c-e053-3a05fe0a45ef
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2
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null, file dd9e0c69-6d29-1e9c-e053-3a05fe0a45ef
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2
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Segmentation of remotely sensed images with a neuro-fuzzy inference system, file dd9e0c6b-b321-1e9c-e053-3a05fe0a45ef
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2
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ArtGraph, file dd9e0c6b-ba55-1e9c-e053-3a05fe0a45ef
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2
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Unsupervised Brain MRI Anomaly Detection for Multiple Sclerosis Classification, file e3f0e000-1ba3-47ad-9fbd-2a7b2e6478ba
|
2
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A mobile app for contactless measurement of vital signs through remote Photoplethysmography, file 0de3a63f-1a19-4ae0-a08c-6ecc7c6d6b7b
|
1
|
|
Identifying AI-Generated Art with Deep Learning, file 1114db9a-ca51-467b-be9e-9828e54b44fe
|
1
|
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Computer Vision Meets Drones: Our Research Experience, file 1c090834-bc01-4ffa-ba6c-b767bfe8266e
|
1
|
|
Analisi del patrimonio artistico digitalizzato mediante reti neurali, file 20825433-3118-4da8-9879-1dc7239d74e7
|
1
|
|
A Deep Learning Approach to Clustering Visual Arts, file 2780aedb-f52f-490f-84af-0f2021ca5645
|
1
|
|
Semi-Supervised Fuzzy C-Means for Regression, file 2fe8e7a7-0139-4592-a0b4-61a5ea0bcf64
|
1
|
|
Combining Unsupervised and Supervised Deep Learning for Alzheimer's Disease Detection by Fractional Anisotropy Imaging, file 3a3feca0-d567-458e-84d0-a610c643180b
|
1
|
|
Weed mapping in multispectral drone imagery using lightweight vision transformers, file 60dc227a-4d0a-4e1b-9e0f-de121eb26a24
|
1
|
|
Density-based clustering with fully-convolutional networks for crowd flow detection from drones, file 9ef5390e-da49-4d5c-bc79-b2b9fc4937e6
|
1
|
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Exploring New Frontiers at the Intersection of AI and Art, file b11d95a4-9faa-4b50-bc29-6ba4fbdc7f20
|
1
|
|
Applying Knowledge Distillation to Improve Weed Mapping With Drones, file b286670d-be9e-44f0-a1b5-6b8147b8a2f2
|
1
|
|
Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary Study, file b93a793a-9c9f-4850-bd3e-67a53bc4bcac
|
1
|
|
Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI, file beb20987-44e9-476f-a0d6-e4d646e6e3f0
|
1
|
|
MicroRNA expression classification for pediatric multiple sclerosis identification, file bfcf8de2-62a7-4015-a3a5-800560ea691c
|
1
|
|
Automatic analysis of artistic heritage through Artificial Intelligence, file d5f9b1c2-4f97-48f5-90e7-9519db99f2ff
|
1
|
|
A multi-agent system for enabling collaborative situation awareness via position-based
stigmergy and neuro-fuzzy learning, file dd9e0c62-c447-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c65-4971-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c66-fa25-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c67-0f68-1e9c-e053-3a05fe0a45ef
|
1
|
|
Pepper4Museum: Towards a Human-like Museum Guide, file dd9e0c68-b056-1e9c-e053-3a05fe0a45ef
|
1
|
| Totale |
1.089 |