| Nome |
# |
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Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review, file dd9e0c66-4441-1e9c-e053-3a05fe0a45ef
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81
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Attentional Pattern Classification for Automatic Dementia Detection, file dd9e0c6a-2ce4-1e9c-e053-3a05fe0a45ef
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71
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Dynamic Handwriting Analysis for Supporting Earlier Parkinson’s Disease Diagnosis, file dd9e0c65-6755-1e9c-e053-3a05fe0a45ef
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60
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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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Dynamically enhanced static handwriting representation for Parkinson's disease detection, file dd9e0c6a-824f-1e9c-e053-3a05fe0a45ef
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11
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Reasoning on Starvation in AODV using Abstract State Machines, file dd9e0c63-4664-1e9c-e053-3a05fe0a45ef
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10
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An ASM-based characterisation of starvation-free systems, file dd9e0c6a-163e-1e9c-e053-3a05fe0a45ef
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10
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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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null, file dd9e0c68-53f7-1e9c-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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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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Fine Art Pattern Extraction and Recognition, file dd9e0c6b-4f84-1e9c-e053-3a05fe0a45ef
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6
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A survey of visual and procedural handwriting analysis for neuropsychological assessment, file 90a8b188-08a0-4c22-9acd-4f37a490bd45
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5
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null, file dd9e0c62-a06f-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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Analysis of Properties of Complex Systems with Abstract State Machines, file dd9e0c65-a152-1e9c-e053-3a05fe0a45ef
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4
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null, file dd9e0c68-644b-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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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
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3
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null, file dd9e0c62-c61e-1e9c-e053-3a05fe0a45ef
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3
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null, file dd9e0c66-51f6-1e9c-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
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3
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A Handwriting-Based Protocol for Assessing Neurodegenerative Dementia, file 6354cd4a-e179-42dd-ac7f-6df267f92de8
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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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Towards a Digitized Protocol based on Handwriting for the Assessment of Neurodegenerative Disorders, file dd9e0c64-b193-1e9c-e053-3a05fe0a45ef
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2
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An overview on on-line handwriting analysis for the assessment of AD and PD, file dd9e0c65-3d2c-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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Dynamic Signature Analysis in Forensic Settings, file dd9e0c6b-147d-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
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2
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MLOps: A Taxonomy and a Methodology, file 0ce6a1cf-7ee3-4c10-bb11-671f75ce432e
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1
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Identifying AI-Generated Art with Deep Learning, file 1114db9a-ca51-467b-be9e-9828e54b44fe
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1
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Computer Vision Meets Drones: Our Research Experience, file 1c090834-bc01-4ffa-ba6c-b767bfe8266e
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1
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Unifying and Understanding Overparameterized Circuit Representations via Low-Rank Tensor Decompositions, file 1f045f48-e8ad-4052-962e-902c4347afea
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1
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Analisi del patrimonio artistico digitalizzato mediante reti neurali, file 20825433-3118-4da8-9879-1dc7239d74e7
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1
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A Deep Learning Approach to Clustering Visual Arts, file 2780aedb-f52f-490f-84af-0f2021ca5645
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1
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Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns, file 2fd643a8-ecc4-4576-a728-48b2bd1182d4
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1
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Combining Unsupervised and Supervised Deep Learning for Alzheimer's Disease Detection by Fractional Anisotropy Imaging, file 3a3feca0-d567-458e-84d0-a610c643180b
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1
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Weed mapping in multispectral drone imagery using lightweight vision transformers, file 60dc227a-4d0a-4e1b-9e0f-de121eb26a24
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1
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Explainable offline automatic signature verifier to support forensic handwriting examiners, file 988528d6-b2ed-491d-8353-5786fafde7e9
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1
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Density-based clustering with fully-convolutional networks for crowd flow detection from drones, file 9ef5390e-da49-4d5c-bc79-b2b9fc4937e6
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1
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Exploring New Frontiers at the Intersection of AI and Art, file b11d95a4-9faa-4b50-bc29-6ba4fbdc7f20
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1
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Applying Knowledge Distillation to Improve Weed Mapping With Drones, file b286670d-be9e-44f0-a1b5-6b8147b8a2f2
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1
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Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary Study, file b93a793a-9c9f-4850-bd3e-67a53bc4bcac
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1
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Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI, file beb20987-44e9-476f-a0d6-e4d646e6e3f0
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1
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MicroRNA expression classification for pediatric multiple sclerosis identification, file bfcf8de2-62a7-4015-a3a5-800560ea691c
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1
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Automatic analysis of artistic heritage through Artificial Intelligence, file d5f9b1c2-4f97-48f5-90e7-9519db99f2ff
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1
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Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy, file d85cb366-649e-4027-b422-17c9cab13004
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1
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null, file dd9e0c62-5d97-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c62-dcaf-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c66-51f4-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c66-9bf2-1e9c-e053-3a05fe0a45ef
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1
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Evaluation of Cognitive Impairment in Pediatric Multiple Sclerosis with Machine Learning: An Exploratory Study of miRNA Expressions, file dd9e0c67-b39b-1e9c-e053-3a05fe0a45ef
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1
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Ensembling complex network ‘perspectives’ for mild cognitive impairment detection with artificial neural networks, file dd9e0c68-4839-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c68-5e13-1e9c-e053-3a05fe0a45ef
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1
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Pepper4Museum: Towards a Human-like Museum Guide, file dd9e0c68-b056-1e9c-e053-3a05fe0a45ef
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1
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Investigating the Sigma-Lognormal Model for Disease Classification by Handwriting, file dd9e0c6a-62df-1e9c-e053-3a05fe0a45ef
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1
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Exploiting Time in Adaptive Learning from Educational Data, file dd9e0c6a-b12c-1e9c-e053-3a05fe0a45ef
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1
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Retrieving Visually Linked Digitized Paintings, file dd9e0c6b-1156-1e9c-e053-3a05fe0a45ef
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1
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Real-Time Age Estimation from Facial Images Using YOLO and EfficientNet, file dd9e0c6b-4494-1e9c-e053-3a05fe0a45ef
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1
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Integrating Contextual Knowledge to Visual Features for Fine Art Classification, file dd9e0c6b-5409-1e9c-e053-3a05fe0a45ef
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1
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Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview, file dd9e0c6b-63cf-1e9c-e053-3a05fe0a45ef
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1
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Gene expression analysis of pediatric Multiple Sclerosis using Machine Learning, file dd9e0c6b-67b1-1e9c-e053-3a05fe0a45ef
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1
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Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems, file dd9e0c6b-973c-1e9c-e053-3a05fe0a45ef
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1
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Deep Convolutional Embedding for Digitized Painting Clustering, file dd9e0c6b-993c-1e9c-e053-3a05fe0a45ef
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1
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Understanding Art with AI: Our Research Experience, file dd9e0c6b-bfb0-1e9c-e053-3a05fe0a45ef
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1
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Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET, file dd9e0c6b-c319-1e9c-e053-3a05fe0a45ef
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1
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ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection, file dd9e0c6c-5b72-1e9c-e053-3a05fe0a45ef
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1
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Recognizing the Emotions Evoked by Artworks Through Visual Features and Knowledge Graph-Embeddings, file e0cb38ca-8447-428d-b372-a9882aa46c90
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1
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Automated detection of Alzheimer’s disease: a multi-modal approach with 3D MRI and amyloid PET, file f5d1b62a-bd1a-4e99-981e-abb0416fa249
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1
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Crowd Flow Detection from Drones with Fully Convolutional Networks and Clustering, file f5e29bd4-f2c6-4808-9f75-93ccddae5a8a
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1
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Recognizing the Style, Genre, and Emotion of a Work of Art Through Visual and Knowledge Graph Embeddings, file f62f1793-74a0-4a85-95e6-1199fd6bc7b8
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1
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| Totale |
421 |