PONZIO, FRANCESCO
 Distribuzione geografica
Continente #
EU - Europa 272
NA - Nord America 71
AS - Asia 5
SA - Sud America 2
Totale 350
Nazione #
IT - Italia 158
US - Stati Uniti d'America 70
IE - Irlanda 37
GB - Regno Unito 32
FR - Francia 10
DE - Germania 8
AT - Austria 7
UA - Ucraina 5
CN - Cina 4
CZ - Repubblica Ceca 3
ES - Italia 3
RU - Federazione Russa 3
AL - Albania 1
BR - Brasile 1
CA - Canada 1
CH - Svizzera 1
CL - Cile 1
FI - Finlandia 1
MY - Malesia 1
NL - Olanda 1
NO - Norvegia 1
SE - Svezia 1
Totale 350
Città #
Dublin 34
Southend 29
Turin 29
Torino 22
Milan 11
Houston 8
Ann Arbor 6
Vienna 5
Wilmington 5
Wuhan 4
Ashburn 3
Cambridge 3
Giugliano In Campania 3
San Donato Milanese 3
Siena 3
Yurovka 3
Aci Sant'Antonio 2
Acquaviva Delle Fonti 2
Aiello Del Sabato 2
Becerril de la Sierra 2
Boardman 2
Brooklyn 2
Buffalo 2
Cittiglio 2
Clifton Park 2
Collegno 2
Dallas 2
Fleming Island 2
Modena 2
Alessandria 1
Alimena 1
Augusta 1
Basking Ridge 1
Bochum 1
Busseto 1
Cagliari 1
Camporosso 1
Cannes 1
Casale Monferrato 1
Catania 1
Cesena 1
Chandler 1
Como 1
Cormeilles-en-Parisis 1
Druento 1
Fairfield 1
Foggia 1
Fremont 1
Helsinki 1
Ivrea 1
Krimpen Aan Den Ijssel 1
Kuala Lumpur 1
La Norville 1
Lecce 1
London 1
Milpitas 1
Nashville 1
New York 1
Novi Ligure 1
Palermo 1
Palo Alto 1
Pavarolo 1
San Francisco 1
San Mateo 1
Seattle 1
Stavanger 1
Stella 1
Stockport 1
São Caetano Do Sul 1
Taggia 1
Tirana 1
Trana 1
Vaprio D'adda 1
Venezia 1
Vicenza 1
Volvera 1
Waltham 1
Winnipeg 1
Zurich 1
Totale 247
Nome #
Colorectal Cancer Classification using Deep Convolutional Networks. An Experimental Study, file e384c431-75d3-d4b2-e053-9f05fe0a1d67 94
A Bayesian approach to Expert Gate Incremental Learning, file e384c433-6488-d4b2-e053-9f05fe0a1d67 60
Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology, file e384c431-7406-d4b2-e053-9f05fe0a1d67 38
Going Deeper into Colorectal Cancer Histopathology, file e384c431-e5a3-d4b2-e053-9f05fe0a1d67 38
High Resolution Explanation Maps for CNNs using Segmentation Networks, file 303b95a2-8089-4d69-bd4b-356ada9023cc 17
Deep learning at the microscope - Working towards improved microscopy image analysis with deep neural networks, file e384c434-33e2-d4b2-e053-9f05fe0a1d67 17
A multi-modal brain image registration framework for US-guided neuronavigation systems. Integrating MR and US for minimally invasive neuroimaging., file e384c431-72aa-d4b2-e053-9f05fe0a1d67 16
A human-computer interface based on the “voluntary” pupil accommodative response., file e384c431-acb5-d4b2-e053-9f05fe0a1d67 15
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images, file e384c433-5958-d4b2-e053-9f05fe0a1d67 12
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality, file 5039feca-a4f8-4783-8c90-3494a8085fcb 11
e-Pupil: IoT-based Augmentative and Alternative Communication device exploiting the pupillary near-reflex, file 49c98c38-d6da-46c2-8286-ed7a195856e4 8
Detection of Inferior Vena Cava in Ultrasound Scans through a Deep Learning Model, file ee1030cb-06a7-4d2e-9056-0d9070bd1ef9 6
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations, file a330b4e5-c1ed-4ea2-a6d5-702adf9d3155 5
A Machine Learning Approach to Support Treatment Identification for Chiari I Malformation, file a97c4f9d-13fb-4bdb-8212-2152d12656b8 5
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0, file 5228ba51-d54e-4536-84b6-a540541d0a75 3
Colorectal Cancer Classification using Deep Convolutional Networks. An Experimental Study, file e384c431-7d70-d4b2-e053-9f05fe0a1d67 3
A multi-modal brain image registration framework for US-guided neuronavigation systems. Integrating MR and US for minimally invasive neuroimaging., file e384c431-9c52-d4b2-e053-9f05fe0a1d67 3
Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line, file 34051fde-1055-4ee9-8fa4-fd6fea1829c1 2
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality, file 4d2d5fc7-e4ed-4b5b-ab66-b14bd86ab218 2
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0, file 5e92a931-1993-4882-9c9d-782b86092c8a 2
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images, file e384c433-826d-d4b2-e053-9f05fe0a1d67 2
Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line, file bf683d10-8fcf-419b-878f-383d49bb762c 1
Method and system for detecting voluntary binary responses by analyzing the pupil diameter of a subject, file c5c142a0-3d47-402d-ae81-22327c243420 1
A human-computer interface based on the “voluntary” pupil accommodative response., file e384c431-acb6-d4b2-e053-9f05fe0a1d67 1
Going Deeper into Colorectal Cancer Histopathology, file e384c431-e5a7-d4b2-e053-9f05fe0a1d67 1
Deep learning at the microscope - Working towards improved microscopy image analysis with deep neural networks, file e384c434-2945-d4b2-e053-9f05fe0a1d67 1
Method and system for detecting voluntary binary responses by analyzing the pupil diameter of a subject, file fdbde69d-ec7c-48b2-88c2-c68147746778 1
Totale 365
Categoria #
all - tutte 789
article - articoli 255
book - libri 0
conference - conferenze 352
curatela - curatele 0
other - altro 0
patent - brevetti 2
selected - selezionate 0
volume - volumi 114
Totale 1.512


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202017 0 0 0 0 0 0 0 10 3 1 2 1
2020/2021124 2 22 9 7 6 10 10 9 19 11 15 4
2021/202290 9 5 7 8 13 3 6 7 4 16 7 5
2022/2023111 9 2 5 1 6 27 18 10 5 12 16 0
2023/202423 2 0 0 6 3 2 3 4 3 0 0 0
Totale 365