Bicocca Open Archive

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CAMPAGNER, ANDREA
 Distribuzione geografica
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Continente #
EU - Europa 5.969
NA - Nord America 5.800
AS - Asia 5.617
SA - Sud America 706
AF - Africa 109
OC - Oceania 29
Continente sconosciuto - Info sul continente non disponibili 3
Totale 18.233
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Nazione #
US - Stati Uniti d'America 5.627
SG - Singapore 2.097
DE - Germania 2.059
IT - Italia 1.541
CN - Cina 1.200
HK - Hong Kong 917
RU - Federazione Russa 713
BR - Brasile 548
VN - Vietnam 483
SE - Svezia 261
IE - Irlanda 253
GB - Regno Unito 245
FR - Francia 174
KR - Corea 165
ID - Indonesia 155
NL - Olanda 146
FI - Finlandia 114
CA - Canada 111
IN - India 106
PH - Filippine 98
AT - Austria 82
DK - Danimarca 74
AR - Argentina 68
JP - Giappone 63
ES - Italia 62
SA - Arabia Saudita 62
BD - Bangladesh 47
PL - Polonia 43
TR - Turchia 42
MX - Messico 40
CH - Svizzera 38
UA - Ucraina 37
ZA - Sudafrica 36
IR - Iran 35
IQ - Iraq 29
AU - Australia 27
TW - Taiwan 24
EC - Ecuador 23
PT - Portogallo 21
CO - Colombia 19
CZ - Repubblica Ceca 18
IL - Israele 17
PK - Pakistan 17
NO - Norvegia 16
VE - Venezuela 15
EG - Egitto 14
MY - Malesia 14
BE - Belgio 12
TN - Tunisia 12
ET - Etiopia 11
CL - Cile 10
HU - Ungheria 10
MA - Marocco 10
PY - Paraguay 9
GR - Grecia 7
KE - Kenya 7
LT - Lituania 7
NP - Nepal 7
PE - Perù 7
DZ - Algeria 6
JO - Giordania 6
RO - Romania 6
AZ - Azerbaigian 5
NG - Nigeria 5
PA - Panama 5
SI - Slovenia 5
TH - Thailandia 5
UY - Uruguay 5
UZ - Uzbekistan 5
AE - Emirati Arabi Uniti 4
DO - Repubblica Dominicana 4
JM - Giamaica 4
LU - Lussemburgo 4
AL - Albania 3
BG - Bulgaria 3
BW - Botswana 3
BY - Bielorussia 3
CR - Costa Rica 3
OM - Oman 3
RS - Serbia 3
SK - Slovacchia (Repubblica Slovacca) 3
A1 - Anonimo 2
BA - Bosnia-Erzegovina 2
BB - Barbados 2
HN - Honduras 2
KG - Kirghizistan 2
LV - Lettonia 2
NZ - Nuova Zelanda 2
TT - Trinidad e Tobago 2
A2 - ???statistics.table.value.countryCode.A2??? 1
BH - Bahrain 1
BO - Bolivia 1
CG - Congo 1
CI - Costa d'Avorio 1
CM - Camerun 1
GE - Georgia 1
HR - Croazia 1
IS - Islanda 1
KZ - Kazakistan 1
LB - Libano 1
Totale 18.225
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Città #
Ann Arbor 1.849
Frankfurt am Main 1.691
Singapore 1.051
Hong Kong 866
Ashburn 479
Milan 453
Hefei 384
Dublin 235
Santa Clara 194
Fairfield 186
New York 166
Chandler 165
Beijing 162
Ho Chi Minh City 151
Wilmington 151
Los Angeles 146
Seoul 144
Dallas 123
Jakarta 123
Hanoi 114
The Dalles 88
Amsterdam 80
Buffalo 78
Moscow 78
Cambridge 77
Princeton 76
Woodbridge 74
Houston 70
Seattle 70
São Paulo 59
Helsinki 58
Shanghai 58
Chicago 53
Rome 53
Nuremberg 52
Vienna 52
London 51
Altamura 50
Council Bluffs 50
Khobar 50
Munich 49
Lawrence 38
Garbagnate Milanese 37
Boardman 35
Lappeenranta 31
Sacramento 31
Bari 30
Tokyo 30
Guangzhou 28
Dong Ket 26
Ottawa 24
San Diego 24
Toronto 24
Dearborn 23
Warsaw 23
Grafing 22
Paris 22
Denver 21
Parma 20
Manila 19
Rio de Janeiro 19
Barcelona 18
Berlin 18
Brooklyn 18
Columbus 18
Muggiò 18
Turku 18
Bergamo 17
Bologna 16
Boston 16
Da Nang 16
Florence 16
Kent 16
Poplar 16
Stockholm 16
Haiphong 15
Lucca 15
Montreal 15
Brescia 14
Chennai 14
Como 14
Manchester 14
Naples 14
Rozzano 14
Sydney 14
Atlanta 13
Düsseldorf 13
Orem 13
Andover 12
Birmingham 12
Buenos Aires 12
Cape Town 12
Carate Brianza 12
Fremont 12
Hải Dương 12
Johannesburg 12
Brno 11
Kolkata 11
Kuala Lumpur 11
Nanjing 11
Totale 11.245
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Nome #
The importance of being external. methodological insights for the external validation of machine learning models in medicine 496
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 447
Robust Learning Methods for Imprecise Data and Cautious Inference 433
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 417
Exploring medical data classification with three-way decision trees 361
Measuring uncertainty in orthopairs 335
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 324
Ground truthing from multi-rater labeling with three-way decision and possibility theory 317
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 306
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 304
Programmed Inefficiencies in DSS-Supported Human Decision Making 293
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 291
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 289
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 287
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 283
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 266
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 260
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 256
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 252
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 252
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 249
Three–Way Classification: Ambiguity and Abstention in Machine Learning 249
H-Accuracy, an alternative metric to assess classification models in medicine 244
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 239
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care 238
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 238
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 238
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 228
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 228
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 216
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 215
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 212
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 211
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 203
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 203
Preface 199
Assessment and prediction of spine surgery invasiveness with machine learning techniques 193
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 189
Aggregation models in ensemble learning: A large-scale comparison 186
Rough set-based feature selection for weakly labeled data 185
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 184
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 178
A Formal Learning Theory for Three-Way Clustering 177
Approximate Reaction Systems Based on Rough Set Theory 176
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 176
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 170
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 168
Uncertainty representation in dynamical systems using rough set theory 164
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 163
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 163
Aggregation operators on shadowed sets 159
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 158
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 155
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 153
A Confidence Interval-Based Method for Classifier Re-Calibration 153
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 151
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 151
Three-way decision in machine learning tasks: a systematic review 150
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 142
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 140
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 140
Belief functions and rough sets: Survey and new insights 140
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] 138
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 136
A general framework for evaluating and comparing soft clusterings 136
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 133
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 131
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 129
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 129
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 127
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 125
Credal Learning: Weakly Supervised Learning from Credal Sets 124
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 123
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 123
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 122
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 121
Learnability in “Learning from Fuzzy Labels” 119
Everything is varied: The surprising impact of instantial variation on ML reliability 119
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 117
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 116
A Distributional Approach for Soft Clustering Comparison and Evaluation 116
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 111
The Tower of Babel in Explainable Artificial Intelligence (XAI) 108
Orthopartitions in Knowledge Representation and Machine Learning 108
The unbearable (technical) unreliability of automated facial emotion recognition 105
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 104
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 102
Assessing the impact of medical AI: A survey of physicians' perceptions 100
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 98
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 97
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility 97
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 96
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 91
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 89
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI 78
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 74
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 71
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification 66
Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision 66
Preface 61
Totale 18.449
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Categoria #
all - tutte 74.358
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 74.358
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021682 0 0 0 0 0 128 90 153 59 80 80 92
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
2025/20265.046 1.085 788 798 1.012 1.199 164 0 0 0 0 0 0
Totale 18.714