CAMPAGNER, ANDREA
 Distribuzione geografica
Continente #
NA - Nord America 11.925
EU - Europa 8.248
AS - Asia 8.204
SA - Sud America 1.030
Continente sconosciuto - Info sul continente non disponibili 533
AF - Africa 234
OC - Oceania 58
Totale 30.232
Nazione #
US - Stati Uniti d'America 11.171
IT - Italia 3.002
SG - Singapore 2.758
DE - Germania 2.166
CN - Cina 1.509
HK - Hong Kong 1.065
VN - Vietnam 982
RU - Federazione Russa 737
BR - Brasile 721
CA - Canada 510
FR - Francia 371
GB - Regno Unito 357
SE - Svezia 284
IE - Irlanda 261
KR - Corea 246
IN - India 243
BD - Bangladesh 242
ID - Indonesia 230
NL - Olanda 199
FI - Finlandia 178
PH - Filippine 178
TR - Turchia 107
AR - Argentina 103
JP - Giappone 103
SA - Arabia Saudita 103
ES - Italia 102
AT - Austria 90
DK - Danimarca 85
IQ - Iraq 81
PK - Pakistan 70
CH - Svizzera 64
MX - Messico 64
PL - Polonia 63
CO - Colombia 61
ZA - Sudafrica 57
PT - Portogallo 50
AU - Australia 48
UA - Ucraina 46
EC - Ecuador 43
TW - Taiwan 40
IR - Iran 38
MY - Malesia 37
VE - Venezuela 34
EG - Egitto 32
CR - Costa Rica 28
IL - Israele 28
CL - Cile 27
UZ - Uzbekistan 26
MA - Marocco 25
BE - Belgio 24
NO - Norvegia 24
TN - Tunisia 23
CZ - Repubblica Ceca 22
GT - Guatemala 20
JM - Giamaica 20
NI - Nicaragua 20
DZ - Algeria 19
KE - Kenya 18
NP - Nepal 18
ET - Etiopia 17
HU - Ungheria 17
JO - Giordania 17
TH - Thailandia 17
TT - Trinidad e Tobago 16
HN - Honduras 15
GR - Grecia 14
LT - Lituania 14
SV - El Salvador 14
PY - Paraguay 13
RS - Serbia 13
UY - Uruguay 12
AE - Emirati Arabi Uniti 11
RO - Romania 11
AZ - Azerbaigian 10
NZ - Nuova Zelanda 10
OM - Oman 10
PR - Porto Rico 10
BB - Barbados 9
NG - Nigeria 9
EE - Estonia 8
PA - Panama 8
PE - Perù 8
AL - Albania 7
BO - Bolivia 7
CW - ???statistics.table.value.countryCode.CW??? 7
BY - Bielorussia 6
SC - Seychelles 6
SI - Slovenia 6
DO - Repubblica Dominicana 5
HR - Croazia 5
BG - Bulgaria 4
KG - Kirghizistan 4
LB - Libano 4
LU - Lussemburgo 4
LV - Lettonia 4
LY - Libia 4
AO - Angola 3
BA - Bosnia-Erzegovina 3
BW - Botswana 3
BZ - Belize 3
Totale 29.641
Città #
Ann Arbor 1.849
Frankfurt am Main 1.724
Singapore 1.350
Ashburn 1.225
San Jose 1.061
Hong Kong 971
Milan 774
Council Bluffs 433
Hefei 385
Los Angeles 317
New York 305
Ho Chi Minh City 303
Santa Clara 302
Dublin 242
Hanoi 238
Staranzano 230
Chicago 221
Toronto 220
Seoul 203
Rome 201
Fairfield 186
Beijing 181
Dallas 180
The Dalles 167
Chandler 165
Wilmington 154
Jakarta 132
Buffalo 115
São Paulo 112
Helsinki 111
Lauterbourg 109
Amsterdam 98
Houston 88
Montreal 87
Cambridge 86
Princeton 81
Seattle 79
Boardman 78
Columbus 78
Moscow 78
Woodbridge 75
London 66
Orem 63
Phoenix 63
Shanghai 59
Nuremberg 57
Vienna 57
Munich 56
Denver 53
Khobar 52
Tokyo 51
Altamura 50
Naples 46
Turin 45
Bologna 44
Sacramento 42
Da Nang 40
Atlanta 39
Lawrence 39
Brooklyn 38
Bari 37
Garbagnate Milanese 37
Paris 37
Lappeenranta 36
Boston 34
Warsaw 33
Guangzhou 32
North Bergen 32
Ottawa 32
Chennai 31
Haiphong 31
Figino 30
Dhaka 29
Manchester 29
San Diego 29
Brescia 28
Washington 28
Philadelphia 27
Zurich 27
Berlin 26
Dong Ket 26
Florence 26
Newark 26
Manila 25
Dearborn 24
Cagliari 23
Kuala Lumpur 23
Parma 23
Poplar 23
Rio de Janeiro 23
San Francisco 23
Stockholm 23
Barcelona 22
Grafing 22
Memphis 22
Sydney 22
Tashkent 22
Baghdad 21
Biên Hòa 21
Cairo 21
Totale 17.040
Nome #
The importance of being external. methodological insights for the external validation of machine learning models in medicine 951
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 716
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 634
Robust Learning Methods for Imprecise Data and Cautious Inference 596
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 474
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 452
Exploring medical data classification with three-way decision trees 439
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 428
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 428
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care 424
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 405
Ground truthing from multi-rater labeling with three-way decision and possibility theory 392
Measuring uncertainty in orthopairs 387
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 386
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 371
Programmed Inefficiencies in DSS-Supported Human Decision Making 364
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 364
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 359
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 351
H-Accuracy, an alternative metric to assess classification models in medicine 350
Three-way decision in machine learning tasks: a systematic review 336
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 335
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 331
The multicenter European Biological Variation Study (EuBIVAS): A new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurands 326
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 326
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 326
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 325
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 324
Three–Way Classification: Ambiguity and Abstention in Machine Learning 324
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 323
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 314
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 310
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 306
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 306
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 304
Evidence of significant difference in key covid-19 biomarkers during the italian lockdown strategy. A retrospective study on patients admitted to a hospital emergency department in northern italy 303
The Silhouette coefficient and the Davies-Bouldin index are more informative than Dunn index, Calinski-Harabasz index, Shannon entropy, and Gap statistic for unsupervised clustering internal evaluation of two convex clusters 299
Rough set-based feature selection for weakly labeled data 298
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 296
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 292
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 285
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 284
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 278
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 269
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 266
Assessment and prediction of spine surgery invasiveness with machine learning techniques 263
Aggregation models in ensemble learning: A large-scale comparison 261
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 259
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 254
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 253
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 249
Uncertainty representation in dynamical systems using rough set theory 249
Approximate Reaction Systems Based on Rough Set Theory 248
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 246
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 246
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 243
Preface 242
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 240
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 238
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 233
A Formal Learning Theory for Three-Way Clustering 230
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 229
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 228
A Confidence Interval-Based Method for Classifier Re-Calibration 227
Aggregation operators on shadowed sets 224
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 221
Identification of SARS-CoV-2 positivity using machine learning methods on blood count data: External validation of state-of-the-art models. [Identificazione di positività al SARS-CoV-2 attraverso metodi di Machine Learning sui dati dell'esame emocromocitometrico: Validazione esterna di modelli allo stato dell'arte] 217
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 216
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 215
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 213
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 212
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 212
A general framework for evaluating and comparing soft clusterings 209
Belief functions and rough sets: Survey and new insights 209
Credal Learning: Weakly Supervised Learning from Credal Sets 206
The Tower of Babel in Explainable Artificial Intelligence (XAI) 206
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 202
Everything is varied: The surprising impact of instantial variation on ML reliability 200
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 199
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 189
The role of artificial intelligence in the clinical laboratory: challenges and opportunities Highlights from the artificial intelligence in the Clinical Laboratory Session at the 56th SIBioC Congress, 2024 185
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 183
Learnability in “Learning from Fuzzy Labels” 183
Conformal Prediction for ECG Interpretation: A Study on Human-AI Collaboration in Clinical Decision Support 179
Orthopartitions in Knowledge Representation and Machine Learning 179
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 178
A Distributional Approach for Soft Clustering Comparison and Evaluation 172
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 171
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 169
The unbearable (technical) unreliability of automated facial emotion recognition 167
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 166
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility 165
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 165
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification 161
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 155
Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems 154
Assessing the impact of medical AI: A survey of physicians' perceptions 152
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 149
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 146
Five Degrees of Separation: Investigating the Unexpected Potential of Displaced Human-AI Collaboration Protocols for Apter AI Support 145
Totale 28.269
Categoria #
all - tutte 103.658
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 103.658


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20221.554 0 0 0 81 48 100 39 176 253 288 297 272
2022/20232.736 352 531 367 333 187 181 67 89 203 99 159 168
2023/20242.184 157 67 121 266 212 277 260 112 171 213 136 192
2024/20255.311 221 426 206 259 460 390 265 217 428 800 648 991
2025/202611.792 1.085 788 798 1.012 1.199 654 1.899 696 878 1.217 699 867
2026/20274.772 529 859 1.459 1.925 0 0 0 0 0 0 0 0
Totale 30.232