Bicocca Open Archive

Logo unimib boa
CAMPAGNER, ANDREA
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
NA - Nord America 3.582
EU - Europa 3.531
AS - Asia 566
SA - Sud America 29
AF - Africa 16
OC - Oceania 12
Continente sconosciuto - Info sul continente non disponibili 3
Totale 7.739
Salva come PNG Salva come JPEG
Nazione #
US - Stati Uniti d'America 3.521
DE - Germania 1.805
IT - Italia 871
IE - Irlanda 240
SE - Svezia 233
HK - Hong Kong 207
CN - Cina 174
GB - Regno Unito 83
DK - Danimarca 60
CA - Canada 54
FR - Francia 52
FI - Finlandia 48
VN - Vietnam 38
IN - India 31
SG - Singapore 28
BR - Brasile 22
JP - Giappone 22
NL - Olanda 22
AT - Austria 19
ES - Italia 19
PH - Filippine 16
UA - Ucraina 13
PL - Polonia 12
RU - Federazione Russa 12
AU - Australia 11
IR - Iran 10
HU - Ungheria 9
IL - Israele 9
CH - Svizzera 8
MX - Messico 7
KR - Corea 6
PK - Pakistan 6
PT - Portogallo 6
MY - Malesia 5
RO - Romania 5
TN - Tunisia 5
TR - Turchia 5
BE - Belgio 4
BW - Botswana 3
CL - Cile 3
GR - Grecia 3
JO - Giordania 3
MA - Marocco 3
A1 - Anonimo 2
CO - Colombia 2
ET - Etiopia 2
NO - Norvegia 2
NP - Nepal 2
SK - Slovacchia (Repubblica Slovacca) 2
TW - Taiwan 2
A2 - ???statistics.table.value.countryCode.A2??? 1
AL - Albania 1
AR - Argentina 1
EG - Egitto 1
HR - Croazia 1
ID - Indonesia 1
IQ - Iraq 1
KE - Kenya 1
NZ - Nuova Zelanda 1
SI - Slovenia 1
UY - Uruguay 1
ZA - Sudafrica 1
Totale 7.739
Salva come PNG Salva come JPEG
Città #
Ann Arbor 1.849
Frankfurt am Main 1.660
Dublin 228
Milan 227
Hong Kong 191
Fairfield 186
Chandler 165
Wilmington 150
New York 129
Ashburn 121
Cambridge 77
Princeton 76
Woodbridge 74
Seattle 61
Houston 60
Altamura 50
Beijing 46
Helsinki 41
Lawrence 38
Garbagnate Milanese 36
Shanghai 32
Sacramento 30
Rome 28
Dong Ket 26
San Diego 24
Dearborn 23
Grafing 22
London 21
Ottawa 21
Vienna 19
Muggiò 18
Parma 18
Guangzhou 16
São Paulo 16
Los Angeles 15
Rozzano 14
Bari 13
Andover 12
Carate Brianza 12
Chicago 12
Toronto 12
Fremont 11
Ardea 10
Bologna 10
Munich 10
Nanjing 10
Paris 10
Pune 10
Bergamo 9
Amsterdam 8
Council Bluffs 8
Kingston upon Thames 8
Tappahannock 8
Turin 8
Budapest 7
Como 7
Dortmund 7
Padova 7
Boardman 6
Castellarano 6
Huizen 6
Islamabad 6
Jinan 6
Lainate 6
Lappeenranta 6
Legnano 6
Madrid 6
Monza 6
Riva Di Chieri 6
Sydney 6
Tübingen 6
Avilés 5
Brescia 5
Cinisello Balsamo 5
Columbus 5
Hove 5
Jacksonville 5
Monte Cremasco 5
Nabeul 5
Norwalk 5
Philadelphia 5
Redmond 5
Tokyo 5
Berlin 4
Braunschweig 4
Cagliari 4
Central 4
Chiari 4
Cologno Monzese 4
Compiègne 4
Genoa 4
Hamburg 4
Hangzhou 4
Kilburn 4
Linköping 4
Lugano 4
Mozzate 4
Nasugbu 4
Salisbury 4
Segrate 4
Totale 6.223
Salva come PNG Salva come JPEG
Nome #
Exploring medical data classification with three-way decision trees 305
Measuring uncertainty in orthopairs 275
Ground truthing from multi-rater labeling with three-way decision and possibility theory 254
The three-way-in and three-way-out framework to treat and exploit ambiguity in data 253
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions 243
The importance of being external. methodological insights for the external validation of machine learning models in medicine 242
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation 240
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies 236
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 228
Programmed Inefficiencies in DSS-Supported Human Decision Making 226
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters 198
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings 196
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory 189
Three–Way Classification: Ambiguity and Abstention in Machine Learning 185
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 185
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO 182
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study 182
Interpretable heartbeat classification using local model-agnostic explanations on ECGs 168
Entropy-based shadowed set approximation of intuitionistic fuzzy sets 163
Robust Learning Methods for Imprecise Data and Cautious Inference 159
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability 155
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 148
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI 141
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 134
Assessment and prediction of spine surgery invasiveness with machine learning techniques 132
A Formal Learning Theory for Three-Way Clustering 127
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 122
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques 119
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review 119
Approximate Reaction Systems Based on Rough Set Theory 118
Rough set-based feature selection for weakly labeled data 117
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 114
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 114
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 108
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 104
Uncertainty representation in dynamical systems using rough set theory 104
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets 97
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 97
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 93
Aggregation operators on shadowed sets 82
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 80
Aggregation models in ensemble learning: A large-scale comparison 79
Learnability in “Learning from Fuzzy Labels” 75
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use 59
Belief functions and rough sets: Survey and new insights 57
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 55
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 46
Credal Learning: Weakly Supervised Learning from Credal Sets 45
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 45
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] 43
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 41
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 40
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning 39
A Confidence Interval-Based Method for Classifier Re-Calibration 38
The unbearable (technical) unreliability of automated facial emotion recognition 38
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 36
Assessing the impact of medical AI: A survey of physicians' perceptions 36
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection 35
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 35
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 33
A Distributional Approach for Soft Clustering Comparison and Evaluation 33
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 31
A general framework for evaluating and comparing soft clusterings 30
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 30
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 29
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 28
Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision 26
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing 25
Everything is varied: The surprising impact of instantial variation on ML reliability 24
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering 23
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets 23
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI 23
Learning from fuzzy labels: Theoretical issues and algorithmic solutions 22
Orthopartitions in Knowledge Representation and Machine Learning 22
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram 19
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems 19
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making 18
Never tell me the odds: Investigating pro-hoc explanations in medical decision making 17
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice 16
The Tower of Babel in Explainable Artificial Intelligence (XAI) 15
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? 12
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators 9
Demo: Decision Support System Quality Assessment Tool 9
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification 6
Totale 8.118
Salva come PNG Salva come JPEG
Categoria #
all - tutte 31.852
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 31.852
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/201948 0 0 0 0 0 0 0 0 0 0 22 26
2019/2020450 18 9 15 20 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
2023/20241.945 157 67 121 266 212 277 260 112 171 213 89 0
Totale 8.118