Bicocca Open Archive

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CAMPAGNER, ANDREA
 Distribuzione geografica
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Continente #
EU - Europa 4.188
NA - Nord America 4.062
AS - Asia 1.172
SA - Sud America 36
AF - Africa 20
OC - Oceania 14
Continente sconosciuto - Info sul continente non disponibili 3
Totale 9.495
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Nazione #
US - Stati Uniti d'America 3.993
DE - Germania 1.838
IT - Italia 1.101
SG - Singapore 493
RU - Federazione Russa 250
IE - Irlanda 241
SE - Svezia 235
CN - Cina 231
HK - Hong Kong 211
GB - Regno Unito 116
FR - Francia 83
DK - Danimarca 63
FI - Finlandia 61
CA - Canada 60
NL - Olanda 38
PH - Filippine 38
VN - Vietnam 38
ID - Indonesia 36
ES - Italia 33
IN - India 33
AT - Austria 29
BR - Brasile 28
JP - Giappone 25
UA - Ucraina 15
IR - Iran 14
PL - Polonia 14
AU - Australia 13
CH - Svizzera 12
CZ - Repubblica Ceca 12
TR - Turchia 10
HU - Ungheria 9
IL - Israele 9
MX - Messico 8
MY - Malesia 7
PT - Portogallo 7
BE - Belgio 6
KR - Corea 6
PK - Pakistan 6
TW - Taiwan 6
RO - Romania 5
TN - Tunisia 5
GR - Grecia 4
LU - Lussemburgo 4
SI - Slovenia 4
BW - Botswana 3
CL - Cile 3
EG - Egitto 3
JO - Giordania 3
MA - Marocco 3
A1 - Anonimo 2
CO - Colombia 2
ET - Etiopia 2
LT - Lituania 2
NO - Norvegia 2
NP - Nepal 2
SA - Arabia Saudita 2
SK - Slovacchia (Repubblica Slovacca) 2
A2 - ???statistics.table.value.countryCode.A2??? 1
AE - Emirati Arabi Uniti 1
AL - Albania 1
AR - Argentina 1
DO - Repubblica Dominicana 1
DZ - Algeria 1
HR - Croazia 1
IQ - Iraq 1
KE - Kenya 1
NZ - Nuova Zelanda 1
PE - Perù 1
TZ - Tanzania 1
UY - Uruguay 1
ZA - Sudafrica 1
Totale 9.495
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Città #
Ann Arbor 1.849
Frankfurt am Main 1.663
Singapore 323
Milan 306
Dublin 229
Hong Kong 191
Fairfield 186
Chandler 165
Wilmington 150
New York 129
Ashburn 125
Santa Clara 119
Cambridge 77
Princeton 76
Woodbridge 74
Houston 63
Seattle 61
Altamura 50
Shanghai 48
Beijing 47
Helsinki 46
Lawrence 38
Garbagnate Milanese 37
London 34
Rome 33
Jakarta 32
Sacramento 30
Boardman 27
Vienna 27
Dong Ket 26
San Diego 24
Bari 23
Dearborn 23
Grafing 22
Ottawa 22
Parma 20
Guangzhou 19
Los Angeles 19
Chicago 18
Muggiò 18
Munich 17
São Paulo 16
Amsterdam 15
Toronto 15
Bologna 14
Florence 14
Rozzano 14
Como 13
Andover 12
Carate Brianza 12
Lappeenranta 12
Paris 12
Brno 11
Fremont 11
Nanjing 11
Ardea 10
Barcelona 10
Berlin 10
Pune 10
Bergamo 9
Council Bluffs 9
Kingston upon Thames 8
Monza 8
Tappahannock 8
Turin 8
Budapest 7
Dortmund 7
Madrid 7
Nashville 7
Padova 7
Sydney 7
Tokyo 7
Castellarano 6
Cinisello Balsamo 6
Genoa 6
Hangzhou 6
Huizen 6
Islamabad 6
Jinan 6
Lainate 6
Legnano 6
Moscow 6
Nuremberg 6
Parnaíba 6
Riva Di Chieri 6
Tübingen 6
Avilés 5
Brescia 5
Cagliari 5
Columbus 5
Hove 5
Jacksonville 5
Kuala Lumpur 5
Monte Cremasco 5
Nabeul 5
Norwalk 5
Philadelphia 5
Redmond 5
Wuhan 5
Braunschweig 4
Totale 6.960
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Nome #
Exploring medical data classification with three-way decision trees 317
The importance of being external. methodological insights for the external validation of machine learning models in medicine 311
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 299
Measuring uncertainty in orthopairs 289
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 275
Ground truthing from multi-rater labeling with three-way decision and possibility theory 272
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 254
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 252
Programmed Inefficiencies in DSS-Supported Human Decision Making 243
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 241
Robust Learning Methods for Imprecise Data and Cautious Inference 227
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 213
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 211
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 203
Three–Way Classification: Ambiguity and Abstention in Machine Learning 202
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 199
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 196
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 196
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 194
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 184
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 182
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 167
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 161
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 158
Assessment and prediction of spine surgery invasiveness with machine learning techniques 152
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 149
A Formal Learning Theory for Three-Way Clustering 143
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 138
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 137
Rough set-based feature selection for weakly labeled data 136
Approximate Reaction Systems Based on Rough Set Theory 133
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 132
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 129
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 119
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 117
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 116
Uncertainty representation in dynamical systems using rough set theory 114
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 110
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 108
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 106
Aggregation models in ensemble learning: A large-scale comparison 103
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 101
Aggregation operators on shadowed sets 93
Learnability in “Learning from Fuzzy Labels” 88
Credal Learning: Weakly Supervised Learning from Credal Sets 69
Belief functions and rough sets: Survey and new insights 69
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 67
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] 61
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 60
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 60
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 59
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 58
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 58
Assessing the impact of medical AI: A survey of physicians' perceptions 58
A Confidence Interval-Based Method for Classifier Re-Calibration 57
The unbearable (technical) unreliability of automated facial emotion recognition 57
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 57
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 56
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 54
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 52
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 51
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 49
A general framework for evaluating and comparing soft clusterings 49
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 48
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 46
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 46
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 45
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 44
A Distributional Approach for Soft Clustering Comparison and Evaluation 43
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 42
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 42
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 42
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 41
The Tower of Babel in Explainable Artificial Intelligence (XAI) 40
Everything is varied: The surprising impact of instantial variation on ML reliability 39
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 37
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 36
Orthopartitions in Knowledge Representation and Machine Learning 36
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 34
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI 34
Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision 34
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 33
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 31
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 30
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 21
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 20
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 19
Demo: Decision Support System Quality Assessment Tool 16
Three-way decision in machine learning tasks: a systematic review 13
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 11
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 11
Totale 9.905
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Categoria #
all - tutte 46.082
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 46.082
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020388 0 0 0 0 23 42 52 59 84 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
2024/20251.548 221 426 206 259 436 0 0 0 0 0 0 0
Totale 9.905