Követés
Andrea Campagner
Andrea Campagner
PostDoc Researcher @ IRCCS Ospedale Galeazzi Sant'Ambrogio, Lecturer @ University of Milano-Bicocca
E-mail megerősítve itt: unimib.it - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Detection of COVID-19 infection from routine blood exams with machine learning: a feasibility study
D Brinati, A Campagner, D Ferrari, M Locatelli, G Banfi, F Cabitza
Journal of medical systems 44, 1-12, 2020
4162020
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies
F Cabitza, A Campagner
International Journal of Medical Informatics 153, 104510, 2021
2112021
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
F Cabitza, A Campagner, D Ferrari, C Di Resta, D Ceriotti, E Sabetta, ...
Clinical Chemistry and Laboratory Medicine (CCLM) 59 (2), 421-431, 2021
1982021
The importance of being external. methodological insights for the external validation of machine learning models in medicine
F Cabitza, A Campagner, F Soares, LG de Guadiana-Romualdo, F Challa, ...
Computer Methods and Programs in Biomedicine 208, 106288, 2021
1762021
Toward a perspectivist turn in ground truthing for predictive computing
F Cabitza, A Campagner, V Basile
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6860-6868, 2023
1612023
Bridging the “last mile” gap between AI implementation and operation:“data awareness” that matters
F Cabitza, A Campagner, C Balsano
Annals of translational medicine 8 (7), 2020
962020
Interpretable heartbeat classification using local model-agnostic explanations on ECGs
I Neves, D Folgado, S Santos, M Barandas, A Campagner, L Ronzio, ...
Computers in Biology and Medicine 133, 104393, 2021
932021
Quod erat demonstrandum?-Towards a typology of the concept of explanation for the design of explainable AI
F Cabitza, A Campagner, G Malgieri, C Natali, D Schneeberger, ...
Expert systems with Applications 213, 118888, 2023
692023
Ground truthing from multi-rater labeling with three-way decision and possibility theory
A Campagner, D Ciucci, CM Svensson, MT Figge, F Cabitza
Information Sciences 545, 771-790, 2021
602021
Belief functions and rough sets: Survey and new insights
A Campagner, D Ciucci, T Denœux
International Journal of Approximate Reasoning 143, 192-215, 2022
562022
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis
F Cabitza, A Campagner, L Ronzio, M Cameli, GE Mandoli, MC Pastore, ...
Artificial Intelligence in Medicine 138, 102506, 2023
552023
Three-way decision for handling uncertainty in machine learning: A narrative review
A Campagner, F Cabitza, D Ciucci
Rough Sets: International Joint Conference, IJCRS 2020, Havana, Cuba, June …, 2020
512020
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
F Cabitza, A Campagner, LM Sconfienza
BMC Medical Informatics and Decision Making 20, 1-21, 2020
502020
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues
F Cabitza, A Campagner, C Simone
International Journal of Human-Computer Studies 155, 102696, 2021
442021
Rough set-based feature selection for weakly labeled data
A Campagner, D Ciucci, E Hüllermeier
International Journal of Approximate Reasoning 136, 150-167, 2021
412021
The three-way-in and three-way-out framework to treat and exploit ambiguity in data
A Campagner, F Cabitza, D Ciucci
International Journal of Approximate Reasoning 119, 292-312, 2020
412020
Aggregation models in ensemble learning: A large-scale comparison
A Campagner, D Ciucci, F Cabitza
Information Fusion 90, 241-252, 2023
392023
Studying human-AI collaboration protocols: the case of the Kasparov’s law in radiological double reading
F Cabitza, A Campagner, LM Sconfienza
Health information science and systems 9, 1-20, 2021
342021
Orthopartitions and soft clustering: soft mutual information measures for clustering validation
A Campagner, D Ciucci
Knowledge-Based Systems 180, 51-61, 2019
342019
Comparing handcrafted features and deep neural representations for domain generalization in human activity recognition
N Bento, J Rebelo, M Barandas, AV Carreiro, A Campagner, F Cabitza, ...
Sensors 22 (19), 7324, 2022
312022
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