Bicocca Open Archive

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CAMPAGNER, ANDREA
 Distribuzione geografica
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Continente #
EU - Europa 6.020
NA - Nord America 5.911
AS - Asia 5.792
SA - Sud America 710
AF - Africa 110
OC - Oceania 29
Continente sconosciuto - Info sul continente non disponibili 4
Totale 18.576
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Nazione #
US - Stati Uniti d'America 5.734
SG - Singapore 2.231
DE - Germania 2.070
IT - Italia 1.559
CN - Cina 1.207
HK - Hong Kong 919
RU - Federazione Russa 714
BR - Brasile 551
VN - Vietnam 486
SE - Svezia 262
IE - Irlanda 253
GB - Regno Unito 251
FR - Francia 176
KR - Corea 170
ID - Indonesia 155
NL - Olanda 148
FI - Finlandia 114
CA - Canada 113
IN - India 111
PH - Filippine 101
AT - Austria 82
DK - Danimarca 74
AR - Argentina 68
JP - Giappone 65
ES - Italia 63
SA - Arabia Saudita 62
BD - Bangladesh 56
PL - Polonia 44
TR - Turchia 44
MX - Messico 42
CH - Svizzera 38
UA - Ucraina 37
ZA - Sudafrica 36
IR - Iran 35
IQ - Iraq 30
AU - Australia 27
TW - Taiwan 24
EC - Ecuador 23
PT - Portogallo 21
CO - Colombia 19
BE - Belgio 18
CZ - Repubblica Ceca 18
IL - Israele 17
NO - Norvegia 17
PK - Pakistan 17
MY - Malesia 15
VE - Venezuela 15
EG - Egitto 14
ET - Etiopia 12
TN - Tunisia 12
CL - Cile 11
HU - Ungheria 10
MA - Marocco 10
PY - Paraguay 9
LT - Lituania 8
GR - Grecia 7
JO - Giordania 7
KE - Kenya 7
NP - Nepal 7
PE - Perù 7
DZ - Algeria 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 18.567
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Città #
Ann Arbor 1.849
Frankfurt am Main 1.693
Singapore 1.085
Hong Kong 867
Ashburn 493
Milan 456
Hefei 384
Dublin 235
Santa Clara 195
Fairfield 186
New York 173
Chandler 165
Beijing 162
Ho Chi Minh City 152
Wilmington 151
Los Angeles 149
Seoul 144
Dallas 124
Jakarta 123
Hanoi 115
The Dalles 96
Amsterdam 81
Buffalo 78
Moscow 78
Cambridge 77
Princeton 76
Woodbridge 74
Houston 73
Seattle 70
Council Bluffs 63
São Paulo 61
Helsinki 58
Shanghai 58
Chicago 56
Rome 54
London 53
Nuremberg 52
Vienna 52
Altamura 50
Khobar 50
Munich 50
Lawrence 38
Garbagnate Milanese 37
Boardman 36
Lappeenranta 31
Sacramento 31
Tokyo 31
Bari 30
Guangzhou 28
Dong Ket 26
Ottawa 24
San Diego 24
Toronto 24
Warsaw 24
Dearborn 23
Paris 23
Denver 22
Grafing 22
Brooklyn 20
Parma 20
Poplar 20
Dhaka 19
Manila 19
Orem 19
Rio de Janeiro 19
Barcelona 18
Berlin 18
Boston 18
Columbus 18
Muggiò 18
Turku 18
Bergamo 17
Da Nang 17
Florence 17
Montreal 17
Stockholm 17
Bologna 16
Kent 16
Chennai 15
Haiphong 15
Lucca 15
Naples 15
Atlanta 14
Brescia 14
Como 14
Manchester 14
Rozzano 14
Sydney 14
Düsseldorf 13
Monza 13
Phoenix 13
Andover 12
Birmingham 12
Buenos Aires 12
Cape Town 12
Carate Brianza 12
Fremont 12
Hải Dương 12
Johannesburg 12
Nanjing 12
Totale 11.387
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Nome #
The importance of being external. methodological insights for the external validation of machine learning models in medicine 507
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 448
Robust Learning Methods for Imprecise Data and Cautious Inference 440
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 434
Exploring medical data classification with three-way decision trees 363
Measuring uncertainty in orthopairs 336
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 327
Ground truthing from multi-rater labeling with three-way decision and possibility theory 318
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 311
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 306
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 301
Programmed Inefficiencies in DSS-Supported Human Decision Making 294
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 292
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 290
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 284
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 267
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 264
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 259
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 254
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 253
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 252
Three–Way Classification: Ambiguity and Abstention in Machine Learning 250
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 249
H-Accuracy, an alternative metric to assess classification models in medicine 247
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care 242
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 239
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 239
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 229
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 229
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 218
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 216
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 214
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 213
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 208
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 207
Preface 201
Assessment and prediction of spine surgery invasiveness with machine learning techniques 195
Aggregation models in ensemble learning: A large-scale comparison 190
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 190
Rough set-based feature selection for weakly labeled data 188
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 186
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 182
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 179
A Formal Learning Theory for Three-Way Clustering 179
Approximate Reaction Systems Based on Rough Set Theory 177
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 177
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 173
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 166
Uncertainty representation in dynamical systems using rough set theory 166
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 164
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 162
Aggregation operators on shadowed sets 161
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 159
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 159
A Confidence Interval-Based Method for Classifier Re-Calibration 156
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 155
Three-way decision in machine learning tasks: a systematic review 155
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 154
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 146
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 143
Belief functions and rough sets: Survey and new insights 142
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 141
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] 141
A general framework for evaluating and comparing soft clusterings 139
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 138
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 137
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 137
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 135
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 132
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 130
Credal Learning: Weakly Supervised Learning from Credal Sets 128
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 127
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 127
Everything is varied: The surprising impact of instantial variation on ML reliability 127
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 125
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 123
Learnability in “Learning from Fuzzy Labels” 123
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 122
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 120
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 119
A Distributional Approach for Soft Clustering Comparison and Evaluation 119
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 113
The Tower of Babel in Explainable Artificial Intelligence (XAI) 110
Orthopartitions in Knowledge Representation and Machine Learning 109
The unbearable (technical) unreliability of automated facial emotion recognition 107
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 107
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 103
Assessing the impact of medical AI: A survey of physicians' perceptions 102
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 100
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility 99
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 98
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 96
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 92
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 90
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 86
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI 79
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 72
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification 69
Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision 66
Preface 63
Totale 18.756
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Categoria #
all - tutte 75.155
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 75.155
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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
2025/20265.389 1.085 788 798 1.012 1.199 507 0 0 0 0 0 0
Totale 19.057