Bicocca Open Archive

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CAMPAGNER, ANDREA
 Distribuzione geografica
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Continente #
EU - Europa 4.629
NA - Nord America 4.335
AS - Asia 1.912
SA - Sud America 123
AF - Africa 29
OC - Oceania 21
Continente sconosciuto - Info sul continente non disponibili 3
Totale 11.052
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Nazione #
US - Stati Uniti d'America 4.248
DE - Germania 1.895
IT - Italia 1.273
SG - Singapore 785
HK - Hong Kong 442
RU - Federazione Russa 325
CN - Cina 295
IE - Irlanda 245
SE - Svezia 238
ID - Indonesia 128
GB - Regno Unito 126
BR - Brasile 102
FR - Francia 91
FI - Finlandia 73
CA - Canada 65
PH - Filippine 64
DK - Danimarca 63
NL - Olanda 61
AT - Austria 54
VN - Vietnam 38
IN - India 36
ES - Italia 35
CH - Svizzera 30
JP - Giappone 27
UA - Ucraina 21
AU - Australia 20
TR - Turchia 18
IR - Iran 16
PL - Polonia 16
CZ - Repubblica Ceca 13
MX - Messico 13
PT - Portogallo 13
IL - Israele 12
BE - Belgio 9
HU - Ungheria 9
CO - Colombia 8
PK - Pakistan 8
TW - Taiwan 8
KR - Corea 7
MY - Malesia 7
EG - Egitto 6
RO - Romania 6
GR - Grecia 5
TN - Tunisia 5
AR - Argentina 4
ET - Etiopia 4
LT - Lituania 4
LU - Lussemburgo 4
PA - Panama 4
SA - Arabia Saudita 4
SI - Slovenia 4
BW - Botswana 3
CL - Cile 3
DZ - Algeria 3
IQ - Iraq 3
JO - Giordania 3
MA - Marocco 3
NO - Norvegia 3
SK - Slovacchia (Repubblica Slovacca) 3
A1 - Anonimo 2
AZ - Azerbaigian 2
BG - Bulgaria 2
CR - Costa Rica 2
KG - Kirghizistan 2
LV - Lettonia 2
NP - Nepal 2
UY - Uruguay 2
A2 - ???statistics.table.value.countryCode.A2??? 1
AE - Emirati Arabi Uniti 1
AL - Albania 1
BA - Bosnia-Erzegovina 1
BO - Bolivia 1
BY - Bielorussia 1
CG - Congo 1
DO - Repubblica Dominicana 1
EC - Ecuador 1
HN - Honduras 1
HR - Croazia 1
IS - Islanda 1
JM - Giamaica 1
KE - Kenya 1
LK - Sri Lanka 1
NG - Nigeria 1
NZ - Nuova Zelanda 1
OM - Oman 1
PE - Perù 1
RS - Serbia 1
TM - Turkmenistan 1
TZ - Tanzania 1
UZ - Uzbekistan 1
VE - Venezuela 1
ZA - Sudafrica 1
Totale 11.052
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Città #
Ann Arbor 1.849
Frankfurt am Main 1.666
Singapore 467
Hong Kong 420
Milan 383
Dublin 232
Fairfield 186
Santa Clara 178
Chandler 165
Ashburn 160
Wilmington 150
New York 130
Jakarta 121
Cambridge 77
Princeton 76
Woodbridge 74
Houston 63
Seattle 61
Helsinki 55
Altamura 50
Shanghai 50
Beijing 48
Rome 42
Vienna 41
Council Bluffs 40
Lawrence 38
Nuremberg 38
Garbagnate Milanese 37
London 37
Moscow 34
Los Angeles 30
Sacramento 30
Boardman 27
Dong Ket 26
Bari 25
San Diego 24
Dearborn 23
Grafing 22
Ottawa 22
Guangzhou 20
Parma 20
São Paulo 20
Chicago 19
Muggiò 18
Amsterdam 17
Munich 17
Toronto 16
Lappeenranta 15
Bologna 14
Florence 14
Manila 14
Rozzano 14
Como 13
Paris 13
Andover 12
Bergamo 12
Carate Brianza 12
Brno 11
Fremont 11
Nanjing 11
Ardea 10
Barcelona 10
Berlin 10
Pune 10
Sydney 10
Monza 9
Turin 9
Zurich 9
Falkenstein 8
Genoa 8
Kingston upon Thames 8
Parnaíba 8
Tappahannock 8
Brescia 7
Budapest 7
Dortmund 7
Islamabad 7
Jinan 7
Lisbon 7
Madrid 7
Nashville 7
Padova 7
Tokyo 7
Bacoor 6
Brusciano 6
Castellarano 6
Cinisello Balsamo 6
Columbus 6
Hangzhou 6
Huizen 6
Lainate 6
Legnano 6
Medellín 6
Oberhaching 6
Riva Di Chieri 6
Siena 6
Staten Island 6
The Dalles 6
Tübingen 6
Warsaw 6
Totale 7.799
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Nome #
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 351
The importance of being external. methodological insights for the external validation of machine learning models in medicine 349
Exploring medical data classification with three-way decision trees 329
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 296
Measuring uncertainty in orthopairs 295
Ground truthing from multi-rater labeling with three-way decision and possibility theory 281
Robust Learning Methods for Imprecise Data and Cautious Inference 275
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 263
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 261
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 251
Programmed Inefficiencies in DSS-Supported Human Decision Making 250
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 231
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 226
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 224
Three–Way Classification: Ambiguity and Abstention in Machine Learning 215
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 211
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 205
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 204
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 201
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 199
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 196
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 188
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 178
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 173
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 162
Assessment and prediction of spine surgery invasiveness with machine learning techniques 161
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 160
Rough set-based feature selection for weakly labeled data 151
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 150
A Formal Learning Theory for Three-Way Clustering 150
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 149
Approximate Reaction Systems Based on Rough Set Theory 142
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 142
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 140
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 134
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 129
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 124
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 123
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 121
Uncertainty representation in dynamical systems using rough set theory 121
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 120
Aggregation models in ensemble learning: A large-scale comparison 118
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 113
Aggregation operators on shadowed sets 104
Learnability in “Learning from Fuzzy Labels” 97
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 92
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 88
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 83
Belief functions and rough sets: Survey and new insights 81
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 79
Credal Learning: Weakly Supervised Learning from Credal Sets 78
A Confidence Interval-Based Method for Classifier Re-Calibration 76
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] 75
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 72
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 71
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 71
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 71
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 70
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 69
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 68
Assessing the impact of medical AI: A survey of physicians' perceptions 68
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 66
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 66
The unbearable (technical) unreliability of automated facial emotion recognition 65
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 64
A general framework for evaluating and comparing soft clusterings 63
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 59
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 59
The Tower of Babel in Explainable Artificial Intelligence (XAI) 58
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 57
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 57
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 56
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 54
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 52
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 52
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 52
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 52
Everything is varied: The surprising impact of instantial variation on ML reliability 52
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 51
A Distributional Approach for Soft Clustering Comparison and Evaluation 51
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 50
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 49
Orthopartitions in Knowledge Representation and Machine Learning 47
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 42
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI 41
Three-way decision in machine learning tasks: a systematic review 40
Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision 39
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility 33
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 31
Demo: Decision Support System Quality Assessment Tool 24
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 20
H-Accuracy, an alternative metric to assess classification models in medicine 19
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 19
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 16
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 15
Preface 11
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 10
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care 10
Comparative Assessment of Two Data Visualizations to Communicate Medical Test Results Online 10
Preface 10
Totale 11.497
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Categoria #
all - tutte 55.969
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 55.969
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020128 0 0 0 0 0 0 0 0 0 49 50 29
2020/20211.017 20 54 67 63 131 128 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
2024/20253.140 221 426 206 259 460 390 265 217 428 268 0 0
Totale 11.497