Andrea Campagner
Orcid: 0000-0002-0027-5157
According to our database1,
Andrea Campagner
authored at least 86 papers
between 2017 and 2024.
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Bibliography
2024
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures.
BMC Medical Informatics Decis. Mak., December, 2024
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2024
Artif. Intell. Rev., September, 2024
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems.
Comput. Biol. Medicine, March, 2024
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets.
Inf. Sci., February, 2024
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram.
Inf. Fusion, January, 2024
Int. J. Approx. Reason., 2024
Never tell me the odds: Investigating pro-hoc explanations in medical decision making.
Artif. Intell. Medicine, 2024
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making.
Proceedings of the Explainable Artificial Intelligence, 2024
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2024
Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering.
Int. J. Approx. Reason., November, 2023
Everything is varied: The surprising impact of instantial variation on ML reliability.
Appl. Soft Comput., October, 2023
Inf. Sci., April, 2023
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting.
Mach. Learn. Knowl. Extr., March, 2023
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI.
Expert Syst. Appl., 2023
Rams, hounds and white boxes: Investigating human-AI collaboration protocols in medical diagnosis.
Artif. Intell. Medicine, 2023
Proceedings of the Explainable Artificial Intelligence, 2023
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators.
Proceedings of the Rough Sets - International Joint Conference, 2023
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering.
Proceedings of the Human-Computer Interaction - INTERACT 2023 - 19th IFIP TC13 International Conference, York, UK, August 28, 2023
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Proceedings of the Machine Learning and Knowledge Extraction, 2023
Proceedings of the Machine Learning and Knowledge Extraction, 2023
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice.
Proceedings of the Machine Learning and Knowledge Extraction, 2023
A Question of Trust: Old and New Metrics for the Reliable Assessment of Trustworthy AI.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
Biomarkers for mixed dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic.
Proceedings of the 4th Italian Workshop on Artificial Intelligence for an Ageing Society co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Big Data Soc., July, 2022
Theor. Comput. Sci., 2022
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition.
Sensors, 2022
Int. J. Approx. Reason., 2022
Painting the black box white: experimental findings from applying XAI to an ECG reading setting.
CoRR, 2022
Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine.
CoRR, 2022
Decisions are not all equal - Introducing a utility metric based on case-wise raters' perceptions.
Comput. Methods Programs Biomed., 2022
Proceedings of the Rough Sets - International Joint Conference, 2022
Proceedings of the Rough Sets - International Joint Conference, 2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Proceedings of the Modeling Decisions for Artificial Intelligence, 2022
Comparative Assessment of Two Data Visualizations to Communicate Medical Test Results Online.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning.
Proceedings of the Machine Learning and Knowledge Extraction, 2022
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration.
Proceedings of the Machine Learning and Knowledge Extraction, 2022
Proceedings of the Belief Functions: Theory and Applications, 2022
2021
Ground truthing from multi-rater labeling with three-way decision and possibility theory.
Inf. Sci., 2021
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches.
Inf. Sci., 2021
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues.
Int. J. Hum. Comput. Stud., 2021
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies.
Int. J. Medical Informatics, 2021
Int. J. Approx. Reason., 2021
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count.
Health Inf. Sci. Syst., 2021
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading.
Health Inf. Sci. Syst., 2021
The importance of being external. methodological insights for the external validation of machine learning models in medicine.
Comput. Methods Programs Biomed., 2021
Interpretable heartbeat classification using local model-agnostic explanations on ECGs.
Comput. Biol. Medicine, 2021
Proceedings of the Rough Sets - International Joint Conference, 2021
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
Proceedings of the Machine Learning and Knowledge Extraction, 2021
Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings.
BMC Medical Informatics Decis. Mak., 2020
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI.
BMC Medical Informatics Decis. Mak., 2020
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study.
J. Medical Syst., 2020
Int. J. Intell. Syst., 2020
Int. J. Approx. Reason., 2020
Assessment and prediction of spine surgery invasiveness with machine learning techniques.
Comput. Biol. Medicine, 2020
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020
Proceedings of the Rough Sets - International Joint Conference, 2020
Proceedings of the Rough Sets - International Joint Conference, 2020
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
Introducing New Measures of Inter- and Intra-Rater Agreement to Assess the Reliability of Medical Ground Truth.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
Ensemble Learning, Social Choice and Collective Intelligence - An Experimental Comparison of Aggregation Techniques.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2020
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Proceedings of the Machine Learning and Knowledge Extraction, 2020
2019
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation.
Knowl. Based Syst., 2019
Who wants accurate models? Arguing for a different metrics to take classification models seriously.
CoRR, 2019
Proceedings of the Rough Sets - International Joint Conference, 2019
Proceedings of the Modeling Decisions for Artificial Intelligence, 2019
Proceedings of the Machine Learning and Knowledge Extraction, 2019
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019
2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018
2017
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017