Bicocca Open Archive

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CAMPAGNER, ANDREA
 Distribuzione geografica
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Continente #
NA - Nord America 8.248
AS - Asia 7.928
EU - Europa 7.001
SA - Sud America 946
AF - Africa 217
OC - Oceania 55
Continente sconosciuto - Info sul continente non disponibili 4
Totale 24.399
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Nazione #
US - Stati Uniti d'America 7.809
SG - Singapore 2.719
DE - Germania 2.139
IT - Italia 1.905
CN - Cina 1.469
HK - Hong Kong 1.057
VN - Vietnam 964
RU - Federazione Russa 729
BR - Brasile 675
FR - Francia 356
CA - Canada 340
GB - Regno Unito 322
SE - Svezia 282
IE - Irlanda 259
KR - Corea 238
IN - India 232
ID - Indonesia 209
NL - Olanda 193
BD - Bangladesh 181
FI - Finlandia 175
PH - Filippine 173
TR - Turchia 102
AR - Argentina 100
SA - Arabia Saudita 99
ES - Italia 93
JP - Giappone 92
AT - Austria 89
IQ - Iraq 81
DK - Danimarca 77
CH - Svizzera 63
PK - Pakistan 62
MX - Messico 58
ZA - Sudafrica 57
PL - Polonia 55
PT - Portogallo 47
AU - Australia 46
UA - Ucraina 46
CO - Colombia 38
EC - Ecuador 38
IR - Iran 35
TW - Taiwan 35
VE - Venezuela 31
MY - Malesia 30
EG - Egitto 29
UZ - Uzbekistan 26
CL - Cile 25
MA - Marocco 25
BE - Belgio 24
NO - Norvegia 23
CZ - Repubblica Ceca 22
TN - Tunisia 22
IL - Israele 21
DZ - Algeria 17
KE - Kenya 16
NP - Nepal 16
ET - Etiopia 15
JO - Giordania 15
TH - Thailandia 15
HU - Ungheria 14
PY - Paraguay 13
RS - Serbia 13
GR - Grecia 12
UY - Uruguay 11
AZ - Azerbaigian 10
OM - Oman 10
AE - Emirati Arabi Uniti 9
NZ - Nuova Zelanda 9
RO - Romania 9
CR - Costa Rica 8
LT - Lituania 8
PA - Panama 8
PE - Perù 8
AL - Albania 7
JM - Giamaica 7
NG - Nigeria 7
BO - Bolivia 6
BY - Bielorussia 6
SI - Slovenia 6
HR - Croazia 5
BG - Bulgaria 4
DO - Repubblica Dominicana 4
HN - Honduras 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
KH - Cambogia 2
MD - Moldavia 2
Totale 24.362
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Città #
Ann Arbor 1.849
Frankfurt am Main 1.721
Singapore 1.328
Hong Kong 968
San Jose 861
Ashburn 657
Milan 502
Hefei 385
Ho Chi Minh City 301
New York 255
Dublin 241
Los Angeles 240
Hanoi 229
Santa Clara 221
Seoul 202
Toronto 190
Fairfield 186
Chicago 178
Beijing 176
Chandler 165
The Dalles 159
Wilmington 152
Dallas 144
Council Bluffs 142
Jakarta 132
Helsinki 111
Lauterbourg 109
Amsterdam 96
Buffalo 95
São Paulo 84
Cambridge 79
Moscow 78
Houston 77
Princeton 77
Woodbridge 74
Boardman 71
Seattle 70
Rome 66
London 62
Shanghai 59
Nuremberg 57
Orem 57
Vienna 56
Munich 53
Khobar 52
Altamura 50
Montreal 50
Tokyo 41
Da Nang 40
Lawrence 39
Garbagnate Milanese 37
Lappeenranta 36
Paris 33
Bari 32
Denver 32
Sacramento 32
Guangzhou 31
Haiphong 31
Warsaw 31
Atlanta 30
Chennai 30
Dhaka 29
Manchester 28
Ottawa 27
San Diego 27
Dong Ket 26
Zurich 26
Manila 25
Dearborn 23
Phoenix 23
Poplar 23
Rio de Janeiro 23
Stockholm 23
Grafing 22
Tashkent 22
Baghdad 21
Biên Hòa 21
Bologna 21
Boston 21
Brooklyn 21
Kuala Lumpur 21
Lahore 21
Naples 21
Parma 21
Sydney 21
Ankara 20
Barcelona 20
Berlin 20
Quezon City 20
Riyadh 20
Cairo 19
Columbus 19
Memphis 19
Cape Town 18
Florence 18
Hải Dương 18
Muggiò 18
Mumbai 18
Turin 18
Turku 18
Totale 14.482
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Nome #
The importance of being external. methodological insights for the external validation of machine learning models in medicine 742
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 595
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 571
Robust Learning Methods for Imprecise Data and Cautious Inference 517
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 418
Exploring medical data classification with three-way decision trees 405
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 392
Measuring uncertainty in orthopairs 367
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 364
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 358
Ground truthing from multi-rater labeling with three-way decision and possibility theory 357
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 355
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 345
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care 335
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 328
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 326
Programmed Inefficiencies in DSS-Supported Human Decision Making 326
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 325
H-Accuracy, an alternative metric to assess classification models in medicine 310
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 301
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 295
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 293
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 291
Three–Way Classification: Ambiguity and Abstention in Machine Learning 288
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 284
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 283
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 278
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 277
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 273
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 269
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 268
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 267
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 265
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 263
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 262
Rough set-based feature selection for weakly labeled data 255
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 251
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 249
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 240
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 239
Three-way decision in machine learning tasks: a systematic review 234
Assessment and prediction of spine surgery invasiveness with machine learning techniques 228
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 226
Preface 222
Approximate Reaction Systems Based on Rough Set Theory 222
Aggregation models in ensemble learning: A large-scale comparison 220
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 220
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 218
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 217
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 214
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 213
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 213
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 212
A Formal Learning Theory for Three-Way Clustering 209
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 207
Uncertainty representation in dynamical systems using rough set theory 207
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 204
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 203
A Confidence Interval-Based Method for Classifier Re-Calibration 199
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 198
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 196
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 196
Aggregation operators on shadowed sets 196
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] 182
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 181
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 180
Credal Learning: Weakly Supervised Learning from Credal Sets 179
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 177
A general framework for evaluating and comparing soft clusterings 176
Belief functions and rough sets: Survey and new insights 176
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 175
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 173
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 172
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 169
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 169
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 166
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 163
Everything is varied: The surprising impact of instantial variation on ML reliability 163
Learnability in “Learning from Fuzzy Labels” 159
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 158
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 155
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 152
The Tower of Babel in Explainable Artificial Intelligence (XAI) 149
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 149
A Distributional Approach for Soft Clustering Comparison and Evaluation 147
Orthopartitions in Knowledge Representation and Machine Learning 147
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 141
The unbearable (technical) unreliability of automated facial emotion recognition 140
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 140
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 138
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 136
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility 131
Assessing the impact of medical AI: A survey of physicians' perceptions 127
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 121
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 120
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 114
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification 111
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 111
Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems 103
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI 101
Totale 23.852
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Categoria #
all - tutte 88.135
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 88.135
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202192 0 0 0 0 0 0 0 0 0 0 0 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
2025/202611.230 1.085 788 798 1.012 1.199 654 1.899 696 878 1.217 699 305
Totale 24.898