Bicocca Open Archive

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CAMPAGNER, ANDREA
 Distribuzione geografica
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Continente #
AS - Asia 7.803
NA - Nord America 7.766
EU - Europa 6.784
SA - Sud America 945
AF - Africa 213
OC - Oceania 52
Continente sconosciuto - Info sul continente non disponibili 4
Totale 23.567
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Nazione #
US - Stati Uniti d'America 7.497
SG - Singapore 2.713
DE - Germania 2.137
IT - Italia 1.720
CN - Cina 1.463
HK - Hong Kong 1.053
VN - Vietnam 964
RU - Federazione Russa 729
BR - Brasile 674
FR - Francia 356
GB - Regno Unito 320
SE - Svezia 282
IE - Irlanda 259
KR - Corea 237
IN - India 232
ID - Indonesia 205
NL - Olanda 183
FI - Finlandia 175
CA - Canada 174
PH - Filippine 162
BD - Bangladesh 103
AR - Argentina 100
SA - Arabia Saudita 99
TR - Turchia 96
ES - Italia 91
AT - Austria 89
JP - Giappone 87
IQ - Iraq 81
DK - Danimarca 75
PK - Pakistan 62
CH - Svizzera 61
MX - Messico 58
ZA - Sudafrica 57
PL - Polonia 55
UA - Ucraina 46
AU - Australia 43
PT - Portogallo 39
CO - Colombia 38
EC - Ecuador 38
IR - Iran 35
TW - Taiwan 33
VE - Venezuela 31
EG - Egitto 29
MY - Malesia 29
UZ - Uzbekistan 26
CL - Cile 25
MA - Marocco 24
NO - Norvegia 23
BE - Belgio 22
CZ - Repubblica Ceca 22
TN - Tunisia 22
IL - Israele 21
DZ - Algeria 16
KE - Kenya 16
NP - Nepal 16
ET - Etiopia 15
JO - Giordania 15
TH - Thailandia 15
PY - Paraguay 13
RS - Serbia 13
GR - Grecia 12
HU - Ungheria 12
UY - Uruguay 11
AZ - Azerbaigian 10
OM - Oman 10
NZ - Nuova Zelanda 9
RO - Romania 9
AE - Emirati Arabi Uniti 8
CR - Costa Rica 8
LT - Lituania 8
PA - Panama 8
PE - Perù 8
AL - Albania 7
BO - Bolivia 6
BY - Bielorussia 6
JM - Giamaica 6
SI - Slovenia 6
HR - Croazia 5
NG - Nigeria 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
SK - Slovacchia (Repubblica Slovacca) 3
SN - Senegal 3
TT - Trinidad e Tobago 3
A1 - Anonimo 2
CM - Camerun 2
GE - Georgia 2
HN - Honduras 2
KH - Cambogia 2
MD - Moldavia 2
Totale 23.531
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Città #
Ann Arbor 1.849
Frankfurt am Main 1.721
Singapore 1.327
Hong Kong 966
San Jose 838
Ashburn 641
Milan 492
Hefei 385
Ho Chi Minh City 301
Dublin 241
Hanoi 229
New York 227
Santa Clara 213
Los Angeles 207
Seoul 202
Fairfield 186
Beijing 175
Chicago 174
Chandler 165
The Dalles 159
Wilmington 152
Dallas 133
Jakarta 131
Council Bluffs 119
Helsinki 111
Lauterbourg 109
Amsterdam 96
Buffalo 90
São Paulo 84
Cambridge 79
Moscow 78
Houston 77
Princeton 77
Woodbridge 74
Seattle 70
London 62
Rome 61
Shanghai 58
Nuremberg 57
Vienna 56
Munich 53
Orem 53
Khobar 52
Altamura 50
Boardman 50
Montreal 48
Tokyo 41
Da Nang 40
Lawrence 39
Garbagnate Milanese 37
Lappeenranta 36
Paris 33
Toronto 33
Sacramento 32
Guangzhou 31
Haiphong 31
Warsaw 31
Bari 30
Chennai 30
Atlanta 29
Dhaka 29
Manchester 28
Ottawa 27
San Diego 27
Denver 26
Dong Ket 26
Manila 25
Zurich 24
Dearborn 23
Poplar 23
Rio de Janeiro 23
Stockholm 23
Grafing 22
Tashkent 22
Baghdad 21
Biên Hòa 21
Kuala Lumpur 21
Lahore 21
Parma 21
Ankara 20
Berlin 20
Bologna 20
Boston 20
Brooklyn 20
Riyadh 20
Sydney 20
Barcelona 19
Cairo 19
Cape Town 18
Columbus 18
Hải Dương 18
Muggiò 18
Mumbai 18
Phoenix 18
Turku 18
Bergamo 17
Florence 17
Johannesburg 17
Buenos Aires 16
Kent 16
Totale 14.091
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Nome #
The importance of being external. methodological insights for the external validation of machine learning models in medicine 688
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 567
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 562
Robust Learning Methods for Imprecise Data and Cautious Inference 512
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 411
Exploring medical data classification with three-way decision trees 394
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 381
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 363
Measuring uncertainty in orthopairs 357
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 350
Ground truthing from multi-rater labeling with three-way decision and possibility theory 347
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 346
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 341
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care 329
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 319
Programmed Inefficiencies in DSS-Supported Human Decision Making 317
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 316
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 316
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 291
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 290
H-Accuracy, an alternative metric to assess classification models in medicine 287
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 282
Three–Way Classification: Ambiguity and Abstention in Machine Learning 282
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 281
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 274
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 272
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 270
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 267
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 263
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 262
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 261
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 260
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 260
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 255
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 253
Rough set-based feature selection for weakly labeled data 250
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 247
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 237
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 236
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 227
Preface 221
Assessment and prediction of spine surgery invasiveness with machine learning techniques 221
Aggregation models in ensemble learning: A large-scale comparison 218
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 216
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 214
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 213
Approximate Reaction Systems Based on Rough Set Theory 212
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 211
Three-way decision in machine learning tasks: a systematic review 211
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 211
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 210
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 207
A Formal Learning Theory for Three-Way Clustering 201
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 200
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 199
A Confidence Interval-Based Method for Classifier Re-Calibration 198
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 197
Uncertainty representation in dynamical systems using rough set theory 197
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 195
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 192
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 190
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 186
Aggregation operators on shadowed sets 185
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 178
A general framework for evaluating and comparing soft clusterings 175
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 175
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] 174
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 173
Credal Learning: Weakly Supervised Learning from Credal Sets 172
Belief functions and rough sets: Survey and new insights 172
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 168
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 168
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 168
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 165
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 165
Everything is varied: The surprising impact of instantial variation on ML reliability 161
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 158
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 155
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 153
Learnability in “Learning from Fuzzy Labels” 152
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 148
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 146
The Tower of Babel in Explainable Artificial Intelligence (XAI) 146
A Distributional Approach for Soft Clustering Comparison and Evaluation 146
Orthopartitions in Knowledge Representation and Machine Learning 145
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 139
The unbearable (technical) unreliability of automated facial emotion recognition 138
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 137
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 135
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 134
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 134
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility 129
Assessing the impact of medical AI: A survey of physicians' perceptions 126
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 117
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 110
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification 108
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 108
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 107
Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems 100
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI 99
Totale 23.112
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Categoria #
all - tutte 84.714
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 84.714
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021172 0 0 0 0 0 0 0 0 0 0 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
2025/202610.395 1.085 788 798 1.012 1.199 654 1.899 696 878 1.217 169 0
Totale 24.063