Bicocca Open Archive

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CAMPAGNER, ANDREA
 Distribuzione geografica
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Continente #
NA - Nord America 10.316
AS - Asia 8.152
EU - Europa 7.895
SA - Sud America 1.011
Continente sconosciuto - Info sul continente non disponibili 514
AF - Africa 227
OC - Oceania 58
Totale 28.173
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Nazione #
US - Stati Uniti d'America 9.732
SG - Singapore 2.751
IT - Italia 2.722
DE - Germania 2.156
CN - Cina 1.503
HK - Hong Kong 1.064
VN - Vietnam 981
RU - Federazione Russa 729
BR - Brasile 713
CA - Canada 429
FR - Francia 367
GB - Regno Unito 332
SE - Svezia 284
IE - Irlanda 261
KR - Corea 244
IN - India 239
BD - Bangladesh 235
ID - Indonesia 226
NL - Olanda 197
FI - Finlandia 178
PH - Filippine 178
TR - Turchia 107
SA - Arabia Saudita 103
AR - Argentina 100
ES - Italia 98
JP - Giappone 98
AT - Austria 90
DK - Danimarca 84
IQ - Iraq 81
PK - Pakistan 68
CH - Svizzera 63
MX - Messico 62
PL - Polonia 61
CO - Colombia 59
ZA - Sudafrica 57
PT - Portogallo 50
AU - Australia 48
UA - Ucraina 46
EC - Ecuador 40
TW - Taiwan 39
IR - Iran 37
MY - Malesia 37
VE - Venezuela 34
EG - Egitto 32
CL - Cile 26
UZ - Uzbekistan 26
MA - Marocco 25
BE - Belgio 24
NO - Norvegia 23
TN - Tunisia 23
CZ - Repubblica Ceca 22
IL - Israele 21
CR - Costa Rica 19
DZ - Algeria 19
KE - Kenya 18
JM - Giamaica 17
JO - Giordania 17
NP - Nepal 17
TH - Thailandia 17
HU - Ungheria 16
ET - Etiopia 15
GR - Grecia 14
PY - Paraguay 13
RS - Serbia 13
UY - Uruguay 11
AE - Emirati Arabi Uniti 10
AZ - Azerbaigian 10
NZ - Nuova Zelanda 10
OM - Oman 10
LT - Lituania 9
NG - Nigeria 9
RO - Romania 9
PA - Panama 8
PE - Perù 8
TT - Trinidad e Tobago 8
AL - Albania 7
BB - Barbados 6
BO - Bolivia 6
BY - Bielorussia 6
HN - Honduras 6
NI - Nicaragua 6
SI - Slovenia 6
DO - Repubblica Dominicana 5
HR - Croazia 5
BG - Bulgaria 4
GT - Guatemala 4
KG - Kirghizistan 4
LB - Libano 4
LU - Lussemburgo 4
LV - Lettonia 4
LY - Libia 4
AO - Angola 3
BA - Bosnia-Erzegovina 3
BW - Botswana 3
BZ - Belize 3
CI - Costa d'Avorio 3
PR - Porto Rico 3
SK - Slovacchia (Repubblica Slovacca) 3
SN - Senegal 3
SY - Repubblica araba siriana 3
Totale 27.610
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Città #
Ann Arbor 1.849
Frankfurt am Main 1.722
Singapore 1.347
San Jose 1.003
Hong Kong 971
Ashburn 878
Milan 749
Hefei 385
Ho Chi Minh City 302
Los Angeles 300
New York 290
Santa Clara 283
Council Bluffs 280
Dublin 241
Hanoi 238
Staranzano 230
Toronto 210
Chicago 205
Seoul 203
Fairfield 186
Beijing 181
Chandler 165
Dallas 164
Rome 163
The Dalles 162
Wilmington 153
Jakarta 132
Helsinki 111
Lauterbourg 109
São Paulo 107
Buffalo 105
Amsterdam 97
Houston 85
Cambridge 83
Moscow 78
Columbus 77
Princeton 77
Woodbridge 75
Montreal 74
Boardman 73
Seattle 71
London 62
Orem 61
Shanghai 59
Phoenix 58
Nuremberg 57
Vienna 57
Munich 56
Khobar 52
Altamura 50
Tokyo 46
Sacramento 41
Da Nang 40
Lawrence 39
Atlanta 37
Garbagnate Milanese 37
Denver 36
Lappeenranta 36
Paris 35
Bari 34
Bologna 34
Guangzhou 32
Turin 32
Warsaw 32
Boston 31
Chennai 31
Haiphong 31
Naples 31
Figino 30
Brooklyn 29
Dhaka 29
Manchester 29
San Diego 29
Ottawa 28
Dong Ket 26
Zurich 26
Manila 25
Washington 25
Dearborn 24
Kuala Lumpur 23
Parma 23
Poplar 23
Rio de Janeiro 23
Stockholm 23
Berlin 22
Florence 22
Grafing 22
Memphis 22
Sydney 22
Tashkent 22
Baghdad 21
Biên Hòa 21
Cairo 21
Lahore 21
Ankara 20
Barcelona 20
Quezon City 20
Riyadh 20
Bergamo 19
San Francisco 19
Totale 16.110
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Nome #
The importance of being external. methodological insights for the external validation of machine learning models in medicine 900
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 690
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 601
Robust Learning Methods for Imprecise Data and Cautious Inference 559
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 457
Exploring medical data classification with three-way decision trees 426
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 425
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 403
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 395
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 391
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care 385
Ground truthing from multi-rater labeling with three-way decision and possibility theory 381
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 380
Measuring uncertainty in orthopairs 377
Programmed Inefficiencies in DSS-Supported Human Decision Making 349
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 349
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 347
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 343
H-Accuracy, an alternative metric to assess classification models in medicine 342
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 340
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 319
Three-way decision in machine learning tasks: a systematic review 317
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 314
Three–Way Classification: Ambiguity and Abstention in Machine Learning 313
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 313
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 312
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 310
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 303
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 301
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 297
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 295
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 294
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 294
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 292
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 289
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 286
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 286
Rough set-based feature selection for weakly labeled data 285
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 272
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 269
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 262
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 259
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 253
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 246
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 246
Aggregation models in ensemble learning: A large-scale comparison 245
Assessment and prediction of spine surgery invasiveness with machine learning techniques 244
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 241
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 239
Preface 236
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 235
Approximate Reaction Systems Based on Rough Set Theory 234
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 233
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 233
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 233
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 231
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 227
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 222
Uncertainty representation in dynamical systems using rough set theory 222
A Formal Learning Theory for Three-Way Clustering 221
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 217
A Confidence Interval-Based Method for Classifier Re-Calibration 216
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 212
Aggregation operators on shadowed sets 212
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 210
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] 203
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 202
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 199
Belief functions and rough sets: Survey and new insights 198
Credal Learning: Weakly Supervised Learning from Credal Sets 196
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 193
A general framework for evaluating and comparing soft clusterings 193
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 193
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 192
The Tower of Babel in Explainable Artificial Intelligence (XAI) 192
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 191
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 187
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 187
Everything is varied: The surprising impact of instantial variation on ML reliability 186
Learnability in “Learning from Fuzzy Labels” 174
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 173
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 171
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 170
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 168
Orthopartitions in Knowledge Representation and Machine Learning 168
The unbearable (technical) unreliability of automated facial emotion recognition 159
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 158
A Distributional Approach for Soft Clustering Comparison and Evaluation 158
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 157
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 156
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 153
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility 152
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification 143
Assessing the impact of medical AI: A survey of physicians' perceptions 140
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 138
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 135
Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems 134
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 133
Five Degrees of Separation: Investigating the Unexpected Potential of Displaced Human-AI Collaboration Protocols for Apter AI Support 130
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 129
Totale 26.541
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Categoria #
all - tutte 98.442
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 98.442
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20221.696 0 0 142 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
2025/202611.792 1.085 788 798 1.012 1.199 654 1.899 696 878 1.217 699 867
2026/20272.713 529 859 1.325 0 0 0 0 0 0 0 0 0
Totale 28.173