Bicocca Open Archive

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CAMPAGNER, ANDREA
 Distribuzione geografica
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Continente #
NA - Nord America 9.637
AS - Asia 8.133
EU - Europa 7.607
SA - Sud America 1.002
Continente sconosciuto - Info sul continente non disponibili 514
AF - Africa 223
OC - Oceania 58
Totale 27.174
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Nazione #
US - Stati Uniti d'America 9.082
SG - Singapore 2.751
IT - Italia 2.443
DE - Germania 2.156
CN - Cina 1.500
HK - Hong Kong 1.063
VN - Vietnam 978
RU - Federazione Russa 729
BR - Brasile 711
CA - Canada 415
FR - Francia 367
GB - Regno Unito 331
SE - Svezia 282
IE - Irlanda 260
KR - Corea 243
IN - India 239
BD - Bangladesh 233
ID - Indonesia 224
NL - Olanda 197
FI - Finlandia 178
PH - Filippine 178
TR - Turchia 105
SA - Arabia Saudita 103
AR - Argentina 100
ES - Italia 98
JP - Giappone 96
AT - Austria 90
DK - Danimarca 84
IQ - Iraq 81
PK - Pakistan 67
CH - Svizzera 63
MX - Messico 62
PL - Polonia 59
ZA - Sudafrica 57
CO - Colombia 53
AU - Australia 48
PT - Portogallo 48
UA - Ucraina 46
EC - Ecuador 40
TW - Taiwan 39
IR - Iran 37
MY - Malesia 36
VE - Venezuela 33
EG - Egitto 31
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
DZ - Algeria 17
KE - Kenya 17
NP - Nepal 17
TH - Thailandia 17
HU - Ungheria 16
JO - Giordania 16
CR - Costa Rica 15
ET - Etiopia 15
JM - Giamaica 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
AL - Albania 7
BO - Bolivia 6
BY - Bielorussia 6
HN - Honduras 6
SI - Slovenia 6
TT - Trinidad e Tobago 6
DO - Repubblica Dominicana 5
HR - Croazia 5
BB - Barbados 4
BG - Bulgaria 4
KG - Kirghizistan 4
LB - Libano 4
LU - Lussemburgo 4
LV - Lettonia 4
LY - Libia 4
NI - Nicaragua 4
AO - Angola 3
BA - Bosnia-Erzegovina 3
BW - Botswana 3
BZ - Belize 3
CI - Costa d'Avorio 3
GT - Guatemala 3
SK - Slovacchia (Repubblica Slovacca) 3
SN - Senegal 3
SY - Repubblica araba siriana 3
A1 - Anonimo 2
Totale 26.613
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Città #
Ann Arbor 1.849
Frankfurt am Main 1.722
Singapore 1.347
Hong Kong 971
San Jose 933
Ashburn 810
Milan 733
Hefei 385
Ho Chi Minh City 302
Los Angeles 295
New York 286
Santa Clara 279
Council Bluffs 275
Dublin 241
Hanoi 236
Seoul 203
Toronto 201
Chicago 198
Fairfield 186
Beijing 180
Chandler 165
The Dalles 162
Dallas 160
Rome 156
Wilmington 153
Jakarta 132
Helsinki 111
Lauterbourg 109
São Paulo 107
Buffalo 104
Amsterdam 97
Houston 84
Cambridge 83
Moscow 78
Columbus 77
Princeton 77
Woodbridge 75
Boardman 73
Montreal 72
Seattle 71
London 62
Orem 60
Shanghai 59
Nuremberg 57
Vienna 57
Munich 56
Khobar 52
Altamura 50
Tokyo 44
Phoenix 42
Da Nang 40
Sacramento 40
Lawrence 39
Garbagnate Milanese 37
Lappeenranta 36
Paris 35
Atlanta 34
Bari 34
Bologna 34
Denver 33
Warsaw 32
Chennai 31
Guangzhou 31
Haiphong 31
Naples 31
Turin 30
Dhaka 29
Manchester 29
San Diego 29
Boston 28
Brooklyn 28
Ottawa 28
Dong Ket 26
Zurich 26
Manila 25
Dearborn 24
Figino 23
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
Washington 22
Baghdad 21
Biên Hòa 21
Lahore 21
Ankara 20
Barcelona 20
Cairo 20
Quezon City 20
Riyadh 20
Bergamo 19
Brescia 18
Cape Town 18
Totale 15.647
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Nome #
The importance of being external. methodological insights for the external validation of machine learning models in medicine 878
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 658
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 595
Robust Learning Methods for Imprecise Data and Cautious Inference 551
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 448
Exploring medical data classification with three-way decision trees 422
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 415
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 385
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 383
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making 382
Ground truthing from multi-rater labeling with three-way decision and possibility theory 376
Measuring uncertainty in orthopairs 373
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 373
Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care 368
Programmed Inefficiencies in DSS-Supported Human Decision Making 342
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 341
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 341
H-Accuracy, an alternative metric to assess classification models in medicine 333
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 333
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 332
Three-way decision in machine learning tasks: a systematic review 307
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 307
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 305
Three–Way Classification: Ambiguity and Abstention in Machine Learning 303
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 303
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 300
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI 294
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 294
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 293
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 291
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 289
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 285
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 283
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 283
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare 282
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 280
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 277
Rough set-based feature selection for weakly labeled data 276
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 265
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 263
All you need is higher accuracy? On the quest for minimum acceptable accuracy for medical artificial intelligence 252
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study 250
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 246
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 240
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 237
Aggregation models in ensemble learning: A large-scale comparison 237
Assessment and prediction of spine surgery invasiveness with machine learning techniques 235
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 234
Biomarkers for Mixed Dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic 233
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 230
Preface 229
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 227
Approximate Reaction Systems Based on Rough Set Theory 227
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 226
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 225
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 223
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 215
A Formal Learning Theory for Three-Way Clustering 215
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 214
Uncertainty representation in dynamical systems using rough set theory 214
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 209
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 206
A Confidence Interval-Based Method for Classifier Re-Calibration 206
Aggregation operators on shadowed sets 206
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 204
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 195
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] 195
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 194
Belief functions and rough sets: Survey and new insights 191
Credal Learning: Weakly Supervised Learning from Credal Sets 189
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 187
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 186
The Tower of Babel in Explainable Artificial Intelligence (XAI) 185
A general framework for evaluating and comparing soft clusterings 184
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 183
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 182
Malnutrition and Disability: A Retrospective Study on 2258 Adult Patients Undergoing Elective Spine Surgery 182
Everything is varied: The surprising impact of instantial variation on ML reliability 179
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 178
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 167
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 166
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 166
Learnability in “Learning from Fuzzy Labels” 166
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 162
Orthopartitions in Knowledge Representation and Machine Learning 160
The unbearable (technical) unreliability of automated facial emotion recognition 154
A Distributional Approach for Soft Clustering Comparison and Evaluation 152
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 150
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 150
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 148
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 147
Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility 144
Assessing the impact of medical AI: A survey of physicians' perceptions 134
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 132
A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification 132
Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems 128
Introducing new measures of inter- And intra-rater agreement to assess the reliability of medical ground truth 128
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 126
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 122
Five Degrees of Separation: Investigating the Unexpected Potential of Displaced Human-AI Collaboration Protocols for Apter AI Support 119
Totale 25.712
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Categoria #
all - tutte 96.632
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 96.632
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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
2026/20271.714 529 859 326 0 0 0 0 0 0 0 0 0
Totale 27.174