IRIS Institutional Research Information System

Osmani, Venet
 Distribuzione geografica
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Continente #
EU - Europa 5.604
NA - Nord America 3.633
AS - Asia 2.604
SA - Sud America 697
AF - Africa 71
OC - Oceania 10
Continente sconosciuto - Info sul continente non disponibili 3
AN - Antartide 1
Totale 12.623
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Nazione #
US - Stati Uniti d'America 3.483
RU - Federazione Russa 3.431
SG - Singapore 909
BR - Brasile 592
CN - Cina 556
DE - Germania 513
IT - Italia 456
VN - Vietnam 360
HK - Hong Kong 305
FI - Finlandia 189
FR - Francia 164
GB - Regno Unito 137
SE - Svezia 132
IN - India 127
NL - Olanda 119
UA - Ucraina 116
CA - Canada 78
IE - Irlanda 76
ES - Italia 55
PL - Polonia 54
BD - Bangladesh 50
MX - Messico 47
JP - Giappone 45
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
AT - Austria 11
GR - Grecia 10
MA - Marocco 10
UZ - Uzbekistan 10
AE - Emirati Arabi Uniti 9
CO - Colombia 9
DK - Danimarca 9
DO - Repubblica Dominicana 9
ID - Indonesia 9
PH - Filippine 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
TW - Taiwan 7
SI - Slovenia 6
DZ - Algeria 5
MY - Malesia 5
UY - Uruguay 5
HN - Honduras 4
JM - Giamaica 4
TN - Tunisia 4
AM - Armenia 3
BN - Brunei Darussalam 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
NP - Nepal 3
TH - Thailandia 3
AL - Albania 2
BG - Bulgaria 2
BH - Bahrain 2
BO - Bolivia 2
KW - Kuwait 2
KZ - Kazakistan 2
LK - Sri Lanka 2
LY - Libia 2
NZ - Nuova Zelanda 2
PT - Portogallo 2
RO - Romania 2
SK - Slovacchia (Repubblica Slovacca) 2
TT - Trinidad e Tobago 2
AQ - Antartide 1
CG - Congo 1
CR - Costa Rica 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 12.618
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Città #
San Jose 570
Chandler 478
Singapore 389
Hong Kong 293
Ashburn 283
Moscow 233
Trento 191
Jacksonville 190
Munich 160
Helsinki 159
Beijing 130
Los Angeles 123
Boardman 116
The Dalles 109
Ho Chi Minh City 104
New York 94
Hefei 86
Dallas 85
Brooklyn 80
Kronberg 80
Hanoi 79
Dublin 76
Lauterbourg 72
Wilmington 60
Santa Clara 51
São Paulo 50
Warsaw 44
Tokyo 40
Dong Ket 39
Ann Arbor 37
Amsterdam 34
Orem 31
Phoenix 31
Brussels 29
Toronto 27
Brno 26
Frankfurt am Main 26
Assago 24
Dearborn 24
Bolzano 23
Falkenstein 23
Rio de Janeiro 23
Council Bluffs 22
Boston 20
London 20
Poplar 20
Shanghai 20
Mexico City 19
Miami 19
Stockholm 19
Atlanta 18
Guangzhou 18
Turku 18
Houston 17
Da Nang 16
Denver 16
Secaucus 16
Chennai 15
Johannesburg 14
Nuremberg 14
Montreal 13
Ottawa 13
Redwood City 13
Sheffield 13
Ankara 12
Chicago 12
Porto Alegre 12
San Francisco 12
Tianjin 12
Hillsboro 11
Brasília 10
Haiphong 10
La Jolla 10
Naples 10
Norwalk 10
Pergine Valsugana 10
Guayaquil 9
Manchester 9
Paese 9
Paris 9
Verona 9
Belo Horizonte 8
Cape Town 8
Dhaka 8
Erbil 8
Guarulhos 8
Hangzhou 8
Portland 8
Santo Domingo 8
Tashkent 8
Asunción 7
Baku 7
Curitiba 7
Milan 7
San Mateo 7
Vienna 7
Augusta 6
Charleston 6
Franca 6
Hải Dương 6
Totale 5.509
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Nome #
Blood Lactate Concentration Prediction in Critical Care 392
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review 312
Automatic Stress Detection in Working Environments from Smartphones Accelerometer Data: A First Step 263
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 233
Benchmarking machine learning models on multi-centre eICU critical care dataset 223
Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients 222
Gastroenterologist against the machine-opportunities and limitations of machine learning models for prediction of advanced adenoma 217
Monitoring and detecting faults in wastewater treatment plants using deep learning 213
Mobile Health Systems for Bipolar Disorder 211
Correlation of significant places with self-reported state of patients with bipolar disorder 191
Automatic processing of Electronic Medical Records using Deep Learning 191
An Analysis of Distance Estimation to Detect Proximity in Social Interactions 188
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 185
Failure of Lactate Clearance Predicts the Outcome of Critically Ill Septic Patients 183
Challenges and opportunities in evolving TreC personal health record platform 182
Disease-course adapting machine learning prognostication models in critically ill elderly COVID-19 patients: a multi-centre cohort study with external validation 181
Smartphone apps usage patterns as a predictor of perceived stress levels at workplace 178
Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging 176
Correlation Between Self-Reported Mood States and Objectively Measured Social Interactions at Work: A Pilot Study 174
Stress Modelling and Prediction in Presence of Scarce Data 173
Smartphone app usage as a predictor of perceived stress levels at workplace 173
Smartphone Based Recognition of States and State Changes in Bipolar Disorder Patients 170
Automatic Sensing of Speech Activity and Correlation with Mood Changes 170
Trade-offs in Monitoring Social Interactions 163
Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation 161
AID-ME: Automatic identification of dressing failures through monitoring of patients and activity Evaluation 160
Management of intoxicated patients – a descriptive outcome analysis of 4,267 ICU patients 159
Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage 158
Vital signs as a source of racial bias 156
Sex-specific outcomes and management in critically ill septic patients 155
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation 155
Analysis of Social Interactions Through Mobile Phones 155
Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation 152
Investigating correlation between verbal interactions and perceived stress 151
Detecting Walking in Synchrony through Smartphone Accelerometer and Wi-Fi traces 151
Predicting delirium risk for the following 24 hours in critically ill patients using deep learning 151
Comm2Sense: Detecting proximity through smartphones 151
Red Cell Distribution Width is independently associated with Mortality in Sepsis 151
Stress Modelling Using Transfer Learning in Presence of Scarce Data 149
Machine Learning Models Cannot Replace Screening Colonoscopy for the Prediction of Advanced Colorectal Adenoma 149
Detecting dressing failures using temporal–relational visual grammars 148
Prediction of stress levels in the workplace using surrounding stress 146
Processing of Electronic Health Records using Deep Learning: A review 146
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation 146
Unobtrusive Stress Assessment Using Smartphones 144
ICU-Mortality in Old and Very Old Patients Suffering From Sepsis and Septic Shock 144
Underweight but not overweight is associated with excess mortality in septic ICU patients 144
Realising Anticipatory Networks Through Human Aware Networking 141
Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study 140
Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study 140
A Bayesian Network and Rule-Base Approach Towards Activity Inference 139
Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease 138
Investigating Presence of Ethnoracial Bias in Clinical Data using Machine Learning 138
Delirium prediction in the ICU: designing a screening tool for preventive interventions 137
Mobile Phones as Medical Devices in Mental Disorder Treatment: an overview 137
Indoor Positioning Using FM Radio 137
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 133
Smartphones in Mental Health: Detecting Depressive and Manic Episodes 124
Enabling Prescription-based Health Apps 124
Speech activity detection using accelerometer 124
The impact of ethnic background on ICU care and outcome in sepsis and septic shock - A retrospective multicenter analysis on 17,949 patients 122
From Ubiquitous Computing to Human Aware Networking: Exploiting the Know-how of Ubicomp Research for Improving Networked-User Experience 120
FINDR: Low-Cost Indoor Positioning Using FM Radio 119
Mobile Monitoring of Formal and Informal Social Interactions at Workplace 116
Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients 110
The evolution of personalized healthcare and the pivotal role of European regions in its implementation 106
RFID-Based System for Tracking People: Approaches to Tagging Demented Patients 106
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data 105
Policy Paper on Healthy Ageing 104
Mental health and the impact of ubiquitous technologies 104
Monitoring dressing activity failures through RFID and video 101
Tuning to your position: FM radio based indoor localization with spontaneous recalibration 101
Propensity-Adjusted Comparison of Mortality of Elderly Versus Very Elderly Ventilated Patients 99
Human activity recognition supporting context-appropriate reminders for elderly 99
Investigation of indoor localization with ambient FM radio stations 97
Human activity recognition in pervasive health-care: Supporting efficient remote collaboration 95
Using Intermediate Models and Knowledge Learning to Improve Stress Prediction 94
Monitoring activity of patients with bipolar disorder using smart phones 94
Machine Learning Analysis Applied to Prediction of Early Progression Independent of Relapse Activity in Multiple Sclerosis Patients 93
Indoor Localization Using Audio Features of FM Radio Signals 93
Multi-Modal Mobile Sensing of Social Interactions 92
FM radio for indoor localization with spontaneous recalibration 90
Participants’ Experience and Adherence in Repeated Measurement Studies Among Office-Based Workers 90
Virtual uniforms: using sound frequencies for grouping individuals 84
Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes 84
Tell me your apps and I will tell you your mood 82
Reply to Comments on the Article "Machine Learning Predicts Risk of Falls in Parkinson's Disease Patients in a Multicenter Observational Study" 69
Generative AI mitigates representation bias and improves model fairness through synthetic health data 33
Coherent cross-modal generation of synthetic biomedical data to advance multimodal precision medicine 5
Totale 12.905
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Categoria #
all - tutte 57.318
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 57.318
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202177 0 0 0 0 0 0 0 0 0 0 21 56
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
2025/20266.405 224 372 389 553 252 217 771 2.738 460 304 125 0
Totale 12.905