Bicocca Open Archive

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CAMPAGNER, ANDREA
 Distribuzione geografica
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Continente #
NA - Nord America 8.441
AS - Asia 8.003
EU - Europa 7.324
SA - Sud America 955
AF - Africa 219
OC - Oceania 55
Continente sconosciuto - Info sul continente non disponibili 4
Totale 25.001
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Nazione #
US - Stati Uniti d'America 7.986
SG - Singapore 2.727
IT - Italia 2.214
DE - Germania 2.143
CN - Cina 1.488
HK - Hong Kong 1.059
VN - Vietnam 971
RU - Federazione Russa 729
BR - Brasile 682
FR - Francia 360
CA - Canada 351
GB - Regno Unito 322
SE - Svezia 282
IE - Irlanda 259
KR - Corea 238
IN - India 236
ID - Indonesia 212
BD - Bangladesh 208
NL - Olanda 195
FI - Finlandia 175
PH - Filippine 173
TR - Turchia 102
SA - Arabia Saudita 101
AR - Argentina 100
ES - Italia 94
JP - Giappone 92
AT - Austria 89
IQ - Iraq 81
DK - Danimarca 80
CH - Svizzera 63
PK - Pakistan 63
MX - Messico 58
ZA - Sudafrica 57
PL - Polonia 55
PT - Portogallo 47
AU - Australia 46
UA - Ucraina 46
CO - Colombia 40
EC - Ecuador 38
IR - Iran 35
TW - Taiwan 35
MY - Malesia 32
VE - Venezuela 31
EG - Egitto 30
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
JO - Giordania 15
TH - Thailandia 15
HU - Ungheria 14
PY - Paraguay 13
RS - Serbia 13
GR - Grecia 12
UY - Uruguay 11
AZ - Azerbaigian 10
OM - Oman 10
AE - Emirati Arabi Uniti 9
CR - Costa Rica 9
NZ - Nuova Zelanda 9
RO - Romania 9
LT - Lituania 8
PA - Panama 8
PE - Perù 8
AL - Albania 7
JM - Giamaica 7
NG - Nigeria 7
BO - Bolivia 6
BY - Bielorussia 6
SI - Slovenia 6
HN - Honduras 5
HR - Croazia 5
BG - Bulgaria 4
DO - Repubblica Dominicana 4
KG - Kirghizistan 4
LU - Lussemburgo 4
LV - Lettonia 4
LY - Libia 4
AO - Angola 3
BA - Bosnia-Erzegovina 3
BB - Barbados 3
BW - Botswana 3
CI - Costa d'Avorio 3
LB - Libano 3
NI - Nicaragua 3
SK - Slovacchia (Repubblica Slovacca) 3
SN - Senegal 3
TT - Trinidad e Tobago 3
A1 - Anonimo 2
CM - Camerun 2
GE - Georgia 2
KH - Cambogia 2
Totale 24.962
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Città #
Ann Arbor 1.849
Frankfurt am Main 1.721
Singapore 1.333
Hong Kong 968
San Jose 868
Ashburn 674
Milan 652
Hefei 385
Ho Chi Minh City 302
New York 258
Los Angeles 244
Santa Clara 242
Dublin 241
Hanoi 231
Seoul 202
Toronto 191
Fairfield 186
Chicago 180
Beijing 176
Chandler 165
The Dalles 159
Wilmington 152
Dallas 146
Council Bluffs 142
Jakarta 132
Rome 125
Helsinki 111
Lauterbourg 109
Amsterdam 97
Buffalo 96
São Paulo 85
Cambridge 79
Houston 78
Moscow 78
Princeton 77
Woodbridge 74
Boardman 72
Seattle 70
London 62
Shanghai 59
Nuremberg 57
Orem 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
Denver 32
Atlanta 31
Chennai 31
Guangzhou 31
Haiphong 31
Warsaw 31
Dhaka 29
Naples 29
Manchester 28
Boston 27
Ottawa 27
San Diego 27
Bologna 26
Dong Ket 26
Turin 26
Zurich 26
Manila 25
Phoenix 25
Columbus 23
Dearborn 23
Poplar 23
Rio de Janeiro 23
Stockholm 23
Brooklyn 22
Grafing 22
Tashkent 22
Baghdad 21
Biên Hòa 21
Florence 21
Kuala Lumpur 21
Lahore 21
Parma 21
Sydney 21
Ankara 20
Barcelona 20
Berlin 20
Cairo 20
Quezon City 20
Riyadh 20
Memphis 19
Bergamo 18
Brescia 18
Cape Town 18
Hải Dương 18
Muggiò 18
Totale 14.811
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Nome #
The importance of being external. methodological insights for the external validation of machine learning models in medicine 778
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 611
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 581
Robust Learning Methods for Imprecise Data and Cautious Inference 529
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 424
Exploring medical data classification with three-way decision trees 413
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 402
Measuring uncertainty in orthopairs 368
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 366
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 365
Ground truthing from multi-rater labeling with three-way decision and possibility theory 364
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 362
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 362
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care 346
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 334
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 333
Programmed Inefficiencies in DSS-Supported Human Decision Making 333
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 328
H-Accuracy, an alternative metric to assess classification models in medicine 318
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 312
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 299
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 298
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 298
Three–Way Classification: Ambiguity and Abstention in Machine Learning 297
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 287
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 284
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 283
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 280
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 279
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 277
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 275
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 274
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 269
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 266
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 265
Rough set-based feature selection for weakly labeled data 258
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 257
Three-way decision in machine learning tasks: a systematic review 254
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 253
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 252
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 240
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 231
Assessment and prediction of spine surgery invasiveness with machine learning techniques 230
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 225
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 225
Aggregation models in ensemble learning: A large-scale comparison 223
Preface 223
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 222
Approximate Reaction Systems Based on Rough Set Theory 222
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 221
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 219
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 217
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 215
A Formal Learning Theory for Three-Way Clustering 211
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 210
Uncertainty representation in dynamical systems using rough set theory 208
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 206
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 206
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 200
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
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 187
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 186
Credal Learning: Weakly Supervised Learning from Credal Sets 185
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 183
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 179
A general framework for evaluating and comparing soft clusterings 178
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 177
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 173
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 172
Everything is varied: The surprising impact of instantial variation on ML reliability 170
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 169
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 168
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 166
Learnability in “Learning from Fuzzy Labels” 163
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 159
The Tower of Babel in Explainable Artificial Intelligence (XAI) 158
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 156
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 156
Orthopartitions in Knowledge Representation and Machine Learning 155
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 154
A Distributional Approach for Soft Clustering Comparison and Evaluation 148
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 144
The unbearable (technical) unreliability of automated facial emotion recognition 144
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 143
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 142
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 141
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility 135
Assessing the impact of medical AI: A survey of physicians' perceptions 129
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 123
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 122
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 118
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification 117
Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems 112
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 103
Totale 24.378
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Categoria #
all - tutte 90.239
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 90.239
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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
2026/202740 40 0 0 0 0 0 0 0 0 0 0 0
Totale 25.500