Bicocca Open Archive

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CAMPAGNER, ANDREA
 Distribuzione geografica
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Continente #
NA - Nord America 8.704
AS - Asia 8.064
EU - Europa 7.392
SA - Sud America 968
Continente sconosciuto - Info sul continente non disponibili 503
AF - Africa 220
OC - Oceania 55
Totale 25.906
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Nazione #
US - Stati Uniti d'America 8.221
SG - Singapore 2.741
IT - Italia 2.266
DE - Germania 2.145
CN - Cina 1.495
HK - Hong Kong 1.061
VN - Vietnam 975
RU - Federazione Russa 729
BR - Brasile 689
CA - Canada 367
FR - Francia 361
GB - Regno Unito 326
SE - Svezia 282
IE - Irlanda 259
KR - Corea 240
IN - India 238
BD - Bangladesh 221
ID - Indonesia 217
NL - Olanda 196
FI - Finlandia 178
PH - Filippine 177
TR - Turchia 102
SA - Arabia Saudita 101
AR - Argentina 100
ES - Italia 97
JP - Giappone 92
AT - Austria 89
IQ - Iraq 81
DK - Danimarca 80
PK - Pakistan 65
CH - Svizzera 63
MX - Messico 59
ZA - Sudafrica 57
PL - Polonia 56
PT - Portogallo 47
AU - Australia 46
CO - Colombia 46
UA - Ucraina 46
EC - Ecuador 38
TW - Taiwan 38
IR - Iran 37
MY - Malesia 32
EG - Egitto 31
VE - Venezuela 31
UZ - Uzbekistan 26
CL - Cile 25
MA - Marocco 25
BE - Belgio 24
NO - Norvegia 23
CZ - Repubblica Ceca 22
TN - Tunisia 22
IL - Israele 21
DZ - Algeria 17
KE - Kenya 17
NP - Nepal 16
ET - Etiopia 15
HU - Ungheria 15
JO - Giordania 15
TH - Thailandia 15
PY - Paraguay 13
RS - Serbia 13
GR - Grecia 12
CR - Costa Rica 11
JM - Giamaica 11
UY - Uruguay 11
AZ - Azerbaigian 10
OM - Oman 10
AE - Emirati Arabi Uniti 9
NZ - Nuova Zelanda 9
RO - Romania 9
LT - Lituania 8
PA - Panama 8
PE - Perù 8
AL - Albania 7
NG - Nigeria 7
BO - Bolivia 6
BY - Bielorussia 6
HN - Honduras 6
SI - Slovenia 6
DO - Repubblica Dominicana 5
HR - Croazia 5
BB - Barbados 4
BG - Bulgaria 4
KG - Kirghizistan 4
LU - Lussemburgo 4
LV - Lettonia 4
LY - Libia 4
TT - Trinidad e Tobago 4
AO - Angola 3
BA - Bosnia-Erzegovina 3
BW - Botswana 3
CI - Costa d'Avorio 3
LB - Libano 3
NI - Nicaragua 3
SK - Slovacchia (Repubblica Slovacca) 3
SN - Senegal 3
A1 - Anonimo 2
BZ - Belize 2
CM - Camerun 2
GE - Georgia 2
Totale 25.366
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Città #
Ann Arbor 1.849
Frankfurt am Main 1.721
Singapore 1.343
Hong Kong 969
San Jose 880
Ashburn 715
Milan 664
Hefei 385
Ho Chi Minh City 302
New York 262
Santa Clara 257
Los Angeles 247
Dublin 241
Hanoi 233
Seoul 202
Chicago 192
Toronto 191
Fairfield 186
Beijing 177
Chandler 165
The Dalles 160
Wilmington 152
Dallas 149
Council Bluffs 142
Jakarta 132
Rome 130
Helsinki 111
Lauterbourg 109
Buffalo 98
Amsterdam 97
São Paulo 90
Cambridge 79
Houston 78
Moscow 78
Princeton 77
Woodbridge 74
Boardman 72
Seattle 71
London 62
Orem 59
Shanghai 59
Nuremberg 57
Vienna 56
Montreal 53
Munich 53
Khobar 52
Altamura 50
Tokyo 41
Da Nang 40
Lawrence 39
Garbagnate Milanese 37
Sacramento 37
Lappeenranta 36
Bari 34
Paris 33
Atlanta 32
Denver 32
Warsaw 32
Bologna 31
Chennai 31
Guangzhou 31
Haiphong 31
Dhaka 29
Manchester 29
Naples 29
Turin 28
Boston 27
Ottawa 27
San Diego 27
Dong Ket 26
Phoenix 26
Zurich 26
Brooklyn 25
Manila 25
Columbus 23
Dearborn 23
Poplar 23
Rio de Janeiro 23
Stockholm 23
Grafing 22
Tashkent 22
Baghdad 21
Berlin 21
Biên Hòa 21
Florence 21
Kuala Lumpur 21
Lahore 21
Parma 21
Sydney 21
Ankara 20
Barcelona 20
Cairo 20
Quezon City 20
Riyadh 20
Bergamo 19
Memphis 19
Brescia 18
Cape Town 18
Hải Dương 18
Madrid 18
Totale 14.959
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Nome #
The importance of being external. methodological insights for the external validation of machine learning models in medicine 811
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 622
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 585
Robust Learning Methods for Imprecise Data and Cautious Inference 535
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 432
Exploring medical data classification with three-way decision trees 416
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 405
Measuring uncertainty in orthopairs 369
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 369
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 368
Ground truthing from multi-rater labeling with three-way decision and possibility theory 367
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 367
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 364
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care 352
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 336
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 336
Programmed Inefficiencies in DSS-Supported Human Decision Making 335
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 329
H-Accuracy, an alternative metric to assess classification models in medicine 327
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 314
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 302
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 299
Three–Way Classification: Ambiguity and Abstention in Machine Learning 298
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 298
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 287
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 286
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 284
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 282
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 282
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 279
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 278
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 276
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 274
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 271
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 271
Three-way decision in machine learning tasks: a systematic review 269
Rough set-based feature selection for weakly labeled data 262
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 258
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 257
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 255
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 243
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 234
Assessment and prediction of spine surgery invasiveness with machine learning techniques 230
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 228
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 228
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 227
Aggregation models in ensemble learning: A large-scale comparison 227
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 227
Preface 225
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 223
Approximate Reaction Systems Based on Rough Set Theory 223
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 218
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 217
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 212
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 211
A Formal Learning Theory for Three-Way Clustering 211
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 210
Uncertainty representation in dynamical systems using rough set theory 208
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 207
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 204
A Confidence Interval-Based Method for Classifier Re-Calibration 201
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 199
Aggregation operators on shadowed sets 199
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 198
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 198
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 188
Credal Learning: Weakly Supervised Learning from Credal Sets 186
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 184
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 182
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] 182
Belief functions and rough sets: Survey and new insights 181
A general framework for evaluating and comparing soft clusterings 179
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 177
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 176
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 174
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 172
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 170
Everything is varied: The surprising impact of instantial variation on ML reliability 170
The Tower of Babel in Explainable Artificial Intelligence (XAI) 166
Learnability in “Learning from Fuzzy Labels” 163
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 161
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 159
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 158
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 156
Orthopartitions in Knowledge Representation and Machine Learning 156
A Distributional Approach for Soft Clustering Comparison and Evaluation 149
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 145
The unbearable (technical) unreliability of automated facial emotion recognition 144
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 144
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 142
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 142
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility 139
Assessing the impact of medical AI: A survey of physicians' perceptions 130
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 126
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification 124
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 124
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 122
Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems 114
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 111
Five Degrees of Separation: Investigating the Unexpected Potential of Displaced Human-AI Collaboration Protocols for Apter AI Support 108
Totale 24.719
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Categoria #
all - tutte 92.400
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 92.400
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20221.859 101 62 142 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
2026/2027446 446 0 0 0 0 0 0 0 0 0 0 0
Totale 25.906