Osmani, Venet
 Distribuzione geografica
Continente #
EU - Europa 5.626
NA - Nord America 4.228
AS - Asia 2.670
SA - Sud America 697
AF - Africa 71
OC - Oceania 10
Continente sconosciuto - Info sul continente non disponibili 3
AN - Antartide 1
Totale 13.306
Nazione #
US - Stati Uniti d'America 4.065
RU - Federazione Russa 3.431
SG - Singapore 927
BR - Brasile 592
CN - Cina 590
DE - Germania 513
IT - Italia 469
VN - Vietnam 361
HK - Hong Kong 306
FI - Finlandia 190
FR - Francia 164
GB - Regno Unito 141
SE - Svezia 132
IN - India 129
NL - Olanda 121
UA - Ucraina 116
CA - Canada 83
IE - Irlanda 76
ES - Italia 56
PL - Polonia 54
BD - Bangladesh 51
MX - Messico 48
JP - Giappone 46
AR - Argentina 38
CZ - Repubblica Ceca 32
TR - Turchia 32
BE - Belgio 31
IL - Israele 31
IQ - Iraq 30
ZA - Sudafrica 29
EC - Ecuador 20
CH - Svizzera 19
PK - Pakistan 19
KR - Corea 18
LT - Lituania 16
SA - Arabia Saudita 16
PY - Paraguay 14
IR - Iran 12
AE - Emirati Arabi Uniti 11
AT - Austria 11
GR - Grecia 10
MA - Marocco 10
PH - Filippine 10
UZ - Uzbekistan 10
CO - Colombia 9
DK - Danimarca 9
DO - Repubblica Dominicana 9
ID - Indonesia 9
JM - Giamaica 9
VE - Venezuela 9
AU - Australia 8
AZ - Azerbaigian 7
CL - Cile 7
EG - Egitto 7
HR - Croazia 7
JO - Giordania 7
KE - Kenya 7
MY - Malesia 7
TW - Taiwan 7
SI - Slovenia 6
DZ - Algeria 5
NP - Nepal 5
UY - Uruguay 5
BN - Brunei Darussalam 4
HN - Honduras 4
TN - Tunisia 4
AM - Armenia 3
BY - Bielorussia 3
ET - Etiopia 3
EU - Europa 3
GT - Guatemala 3
HU - Ungheria 3
KG - Kirghizistan 3
LB - Libano 3
MK - Macedonia 3
PT - Portogallo 3
TH - Thailandia 3
TT - Trinidad e Tobago 3
AL - Albania 2
BG - Bulgaria 2
BH - Bahrain 2
BO - Bolivia 2
CR - Costa Rica 2
KW - Kuwait 2
KZ - Kazakistan 2
LK - Sri Lanka 2
LY - Libia 2
NZ - Nuova Zelanda 2
RO - Romania 2
SK - Slovacchia (Repubblica Slovacca) 2
AQ - Antartide 1
CG - Congo 1
GA - Gabon 1
KH - Cambogia 1
LA - Repubblica Popolare Democratica del Laos 1
LV - Lettonia 1
MD - Moldavia 1
MZ - Mozambico 1
OM - Oman 1
PA - Panama 1
Totale 13.301
Città #
San Jose 571
Council Bluffs 493
Chandler 478
Singapore 389
Hong Kong 294
Ashburn 285
Moscow 233
Jacksonville 191
Trento 191
Munich 160
Helsinki 159
Beijing 131
Los Angeles 127
Boardman 117
The Dalles 109
Ho Chi Minh City 105
New York 103
Dallas 89
Hefei 86
Brooklyn 81
Kronberg 80
Hanoi 79
Dublin 76
Lauterbourg 72
Wilmington 60
Santa Clara 52
São Paulo 50
Warsaw 44
Tokyo 40
Dong Ket 39
Ann Arbor 37
Amsterdam 34
Orem 31
Phoenix 31
Brussels 29
Toronto 28
Brno 26
Frankfurt am Main 26
Assago 24
Dearborn 24
Bolzano 23
Falkenstein 23
Rio de Janeiro 23
Shanghai 21
Boston 20
London 20
Mexico City 20
Miami 20
Poplar 20
Atlanta 19
Stockholm 19
Guangzhou 18
Turku 18
Houston 17
Da Nang 16
Denver 16
Secaucus 16
Chennai 15
Montreal 15
Johannesburg 14
Nuremberg 14
Chicago 13
Ottawa 13
Redwood City 13
Sheffield 13
Tianjin 13
Ankara 12
Hillsboro 12
Las Vegas 12
Porto Alegre 12
San Francisco 12
Milan 11
Naples 11
Brasília 10
Haiphong 10
Hangzhou 10
La Jolla 10
Norwalk 10
Pergine Valsugana 10
Portland 10
Buffalo 9
Guayaquil 9
Manchester 9
Paese 9
Paris 9
Verona 9
Belo Horizonte 8
Cape Town 8
Dhaka 8
Erbil 8
Guarulhos 8
Santo Domingo 8
Tashkent 8
Asunción 7
Baku 7
Curitiba 7
San Mateo 7
Vienna 7
Augusta 6
Charleston 6
Totale 6.035
Nome #
Blood Lactate Concentration Prediction in Critical Care 404
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review 320
Mobile Health Systems for Bipolar Disorder 287
Automatic Stress Detection in Working Environments from Smartphones Accelerometer Data: A First Step 271
Use of eHealth Platforms and Apps to Support Monitoring and Management of Home-Quarantined Patients With COVID-19 in the Province of Trento, Italy: App Development and Implementation 239
Benchmarking machine learning models on multi-centre eICU critical care dataset 231
Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients 226
Gastroenterologist against the machine-opportunities and limitations of machine learning models for prediction of advanced adenoma 222
Monitoring and detecting faults in wastewater treatment plants using deep learning 218
Correlation of significant places with self-reported state of patients with bipolar disorder 204
Automatic processing of Electronic Medical Records using Deep Learning 198
Failure of Lactate Clearance Predicts the Outcome of Critically Ill Septic Patients 196
Disease-course adapting machine learning prognostication models in critically ill elderly COVID-19 patients: a multi-centre cohort study with external validation 196
Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study 193
An Analysis of Distance Estimation to Detect Proximity in Social Interactions 193
Challenges and opportunities in evolving TreC personal health record platform 189
Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging 187
Stress Modelling and Prediction in Presence of Scarce Data 183
Smartphone apps usage patterns as a predictor of perceived stress levels at workplace 183
Correlation Between Self-Reported Mood States and Objectively Measured Social Interactions at Work: A Pilot Study 182
Smartphone app usage as a predictor of perceived stress levels at workplace 180
Smartphone Based Recognition of States and State Changes in Bipolar Disorder Patients 178
Automatic Sensing of Speech Activity and Correlation with Mood Changes 178
Trade-offs in Monitoring Social Interactions 175
Management of intoxicated patients – a descriptive outcome analysis of 4,267 ICU patients 170
Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation 165
AID-ME: Automatic identification of dressing failures through monitoring of patients and activity Evaluation 165
Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage 164
Sex-specific outcomes and management in critically ill septic patients 161
Vital signs as a source of racial bias 161
Analysis of Social Interactions Through Mobile Phones 160
Prediction of stress levels in the workplace using surrounding stress 159
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation 159
Comm2Sense: Detecting proximity through smartphones 159
Predicting delirium risk for the following 24 hours in critically ill patients using deep learning 158
Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation 158
Investigating correlation between verbal interactions and perceived stress 157
Detecting Walking in Synchrony through Smartphone Accelerometer and Wi-Fi traces 157
Red Cell Distribution Width is independently associated with Mortality in Sepsis 157
Stress Modelling Using Transfer Learning in Presence of Scarce Data 156
Mobile Phones as Medical Devices in Mental Disorder Treatment: an overview 153
Detecting dressing failures using temporal–relational visual grammars 153
ICU-Mortality in Old and Very Old Patients Suffering From Sepsis and Septic Shock 153
Machine Learning Models Cannot Replace Screening Colonoscopy for the Prediction of Advanced Colorectal Adenoma 153
Processing of Electronic Health Records using Deep Learning: A review 152
Unobtrusive Stress Assessment Using Smartphones 151
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation 151
Underweight but not overweight is associated with excess mortality in septic ICU patients 150
Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study 148
Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease 147
A Bayesian Network and Rule-Base Approach Towards Activity Inference 147
Indoor Positioning Using FM Radio 147
Realising Anticipatory Networks Through Human Aware Networking 146
Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study 146
COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African, and American patients 143
Delirium prediction in the ICU: designing a screening tool for preventive interventions 141
Investigating Presence of Ethnoracial Bias in Clinical Data using Machine Learning 140
Speech activity detection using accelerometer 131
Smartphones in Mental Health: Detecting Depressive and Manic Episodes 130
Enabling Prescription-based Health Apps 130
The impact of ethnic background on ICU care and outcome in sepsis and septic shock - A retrospective multicenter analysis on 17,949 patients 127
FINDR: Low-Cost Indoor Positioning Using FM Radio 125
From Ubiquitous Computing to Human Aware Networking: Exploiting the Know-how of Ubicomp Research for Improving Networked-User Experience 122
Mobile Monitoring of Formal and Informal Social Interactions at Workplace 121
Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients 117
The evolution of personalized healthcare and the pivotal role of European regions in its implementation 113
RFID-Based System for Tracking People: Approaches to Tagging Demented Patients 113
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data 110
Mental health and the impact of ubiquitous technologies 110
Policy Paper on Healthy Ageing 107
Monitoring dressing activity failures through RFID and video 107
Tuning to your position: FM radio based indoor localization with spontaneous recalibration 107
Propensity-Adjusted Comparison of Mortality of Elderly Versus Very Elderly Ventilated Patients 104
Human activity recognition supporting context-appropriate reminders for elderly 104
Investigation of indoor localization with ambient FM radio stations 104
Using Intermediate Models and Knowledge Learning to Improve Stress Prediction 100
Monitoring activity of patients with bipolar disorder using smart phones 100
Human activity recognition in pervasive health-care: Supporting efficient remote collaboration 100
Machine Learning Analysis Applied to Prediction of Early Progression Independent of Relapse Activity in Multiple Sclerosis Patients 98
Multi-Modal Mobile Sensing of Social Interactions 98
Indoor Localization Using Audio Features of FM Radio Signals 98
FM radio for indoor localization with spontaneous recalibration 97
Participants’ Experience and Adherence in Repeated Measurement Studies Among Office-Based Workers 97
Virtual uniforms: using sound frequencies for grouping individuals 93
Tell me your apps and I will tell you your mood 90
Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes 89
Reply to Comments on the Article "Machine Learning Predicts Risk of Falls in Parkinson's Disease Patients in a Multicenter Observational Study" 75
Generative AI mitigates representation bias and improves model fairness through synthetic health data 40
Coherent cross-modal generation of synthetic biomedical data to advance multimodal precision medicine 11
Totale 13.588
Categoria #
all - tutte 60.505
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 60.505


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022789 33 71 34 197 32 14 22 77 64 43 101 101
2022/20231.120 39 118 35 227 43 143 13 75 240 107 42 38
2023/2024809 36 27 57 30 36 89 22 94 22 204 17 175
2024/20252.717 32 37 169 96 79 129 142 157 1.036 281 322 237
2025/20266.835 224 372 389 553 252 217 771 2.738 460 304 465 90
2026/2027253 253 0 0 0 0 0 0 0 0 0 0 0
Totale 13.588