Andrea Campagner

106 papers A* 4A 3B 6C 11Journal 49Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis. AAAI Federico Cabitza, Andrea Campagner, Gian Eugenio Tontini
2026	A*	`conf`	Too Sure for Our Own Good: A User Study on AI Confidence and Human Reliance. AAAI Caterina Fregosi, Lucia Vicente, Andrea Campagner, Federico Cabitza
2026	J	`jnl`	Under what influence: Measuring AI influence to fit user profiles in decision-making. Int. J. Hum. Comput. Stud. Andrea Campagner, Caterina Fregosi, Chiara Natali, Federico Cabitza
2026	J	`jnl`	Weakly supervised treatment selection: Machine learning models for appropriate surgical planning of submandibular stones. Comput. Biol. Medicine Andrea Campagner, Matteo Lazzeroni, Caterina Pizzi, Caterina Sattin, Giulia Buccichini, Massimo Del Fabbro, Gianluca Martino Tartaglia, Maria Cristina Firetto, Gianpaolo Carrafiello, Michael Koch, Pasquale Capaccio, Federico Cabitza
2025	A	`conf`	An Evidence-Theoretic Framework for Online Learning from Expert Advice. ECAI Andrea Campagner, Francesca Arredondo, Davide Ciucci, Federico Cabitza
2025	—	`conf`	Conformal Prediction for ECG Interpretation: A Study on Human-AI Collaboration in Clinical Decision Support. AIME (1) Duarte Folgado, Lorenzo Famiglini, Andrea Campagner, Hélder Dores, Marília Barandas, Hugo Gamboa, Federico Cabitza
2025	J	`jnl`	Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare. Int. J. Medical Informatics Massimo Salvi, Silvia Seoni, Andrea Campagner, Arkadiusz Gertych, U. Rajendra Acharya, Filippo Molinari, Federico Cabitza
2025	—	`conf`	Explainable Machine Learning for Neonatal Screening: A Fast&Frugal Decision Tree for Rare Metabolic Disease Detection. AIME (1) Gloria Lopiano, Andrea Campagner, Cristina Cereda, Stephana Carelli, Federico Cabitza
2025	J	`jnl`	Five Degrees of Separation: Investigating the Unexpected Potential of Displaced Human-AI Collaboration Protocols for Apter AI Support. Proc. ACM Hum. Comput. Interact. Federico Cabitza, Andrea Campagner, Caterina Fregosi, Matteo Cameli, Enrico Gallazzi, Luca Maria Sconfienza, Gian Eugenio Tontini
2025	—	`conf`	Missing but Not Missed: On Learnability Under Imputation. ECML/PKDD (4) Andrea Campagner
2025	J	`jnl`	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. PeerJ Comput. Sci. Davide Chicco, Andrea Campagner, Andrea Spagnolo, Davide Ciucci, Giuseppe Jurman
2025	J	`jnl`	The use of machine learning for the prediction of response to follow-up in spine registries. Int. J. Medical Informatics Alice Baroncini, Andrea Campagner, Federico Cabitza, Francesco Langella, Francesca Barile, Pablo Bellosta-López, Domenico Compagnone, Riccardo Cecchinato, Marco Damilano, Andrea Redaelli, Daniele Vanni, Pedro Berjano
2025	J	`jnl`	Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care. J. Biomed. Informatics Andrea Campagner, Luca Marconi, Edoardo Bianchi, Beatrice Arosio, Paolo Rossi, Giorgio Annoni, Tiziano Angelo Lucchi, Nicola Montano, Federico Cabitza
2025	—	`conf`	softpy: A User-Friendly Python Library for Soft Computing. GECCO Companion Andrea Campagner, Davide Ciucci
2024	—	`conf`	A User-Oriented Perspective on Soft Clustering: Explainability and Uncertainty Quantification. IJCRS (3) Andrea Campagner, Federico Cabitza, Davide Ciucci
2024	—	`conf`	Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems. BIOSTEC (2) Chiara Natali, Andrea Campagner, Federico Cabitza
2024	—	`conf`	Assessing appropriate reliance: a framework for evaluating AI influence on user decision-making. AIxHMI@AI*IA Caterina Fregosi, Andrea Campagner, Chiara Natali, Federico Cabitza
2024	B	`conf`	Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI. MDAI Federico Cabitza, Lorenzo Famiglini, Andrea Campagner, Luca Maria Sconfienza, Stefano Fusco, Valerio Caccavella, Enrico Gallazzi
2024	J	`jnl`	Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. Andrea Campagner, Marília Barandas, Duarte Folgado, Hugo Gamboa, Federico Cabitza
2024	J	`jnl`	Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram. Inf. Fusion Marília Barandas, Lorenzo Famiglini, Andrea Campagner, Duarte Folgado, Raquel Simão, Federico Cabitza, Hugo Gamboa
2024	J	`jnl`	Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems. Comput. Biol. Medicine Lorenzo Famiglini, Andrea Campagner, Marília Barandas, Giovanni Andrea La Maida, Enrico Gallazzi, Federico Cabitza
2024	—	`conf`	Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making. xAI (4) Federico Cabitza, Caterina Fregosi, Andrea Campagner, Chiara Natali
2024	J	`jnl`	Learning from fuzzy labels: Theoretical issues and algorithmic solutions. Int. J. Approx. Reason. Andrea Campagner
2024	J	`jnl`	Never tell me the odds: Investigating pro-hoc explanations in medical decision making. Artif. Intell. Medicine Federico Cabitza, Chiara Natali, Lorenzo Famiglini, Andrea Campagner, Valerio Caccavella, Enrico Gallazzi
2024	J	`jnl`	Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets. Inf. Sci. Stefania Boffa, Andrea Campagner, Davide Ciucci
2024	J	`jnl`	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. Andrea Campagner, Frida Milella, Giuseppe Banfi, Federico Cabitza
2024	J	`jnl`	Three-way decision in machine learning tasks: a systematic review. Artif. Intell. Rev. Andrea Campagner, Frida Milella, Davide Ciucci, Federico Cabitza
2023	—	`conf`	A Question of Trust: Old and New Metrics for the Reliable Assessment of Trustworthy AI. HEALTHINF Andrea Campagner, Riccardo Angius, Federico Cabitza
2023	J	`jnl`	A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering. Int. J. Approx. Reason. Andrea Campagner, Davide Ciucci, Thierry Denoeux
2023	J	`jnl`	A general framework for evaluating and comparing soft clusterings. Inf. Sci. Andrea Campagner, Davide Ciucci, Thierry Denoeux
2023	A*	`conf`	AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making. CHI Federico Cabitza, Andrea Campagner, Riccardo Angius, Chiara Natali, Carlo Reverberi
2023	—	`conf`	Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators. IJCRS Stefania Boffa, Andrea Campagner, Davide Ciucci, Yiyu Yao
2023	J	`jnl`	Aggregation models in ensemble learning: A large-scale comparison. Inf. Fusion Andrea Campagner, Davide Ciucci, Federico Cabitza
2023	—	`conf`	Biomarkers for mixed dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic. AIxAS@AI*IA Andrea Campagner, Lorenzo Famiglini, Beatrice Arosio, Paolo Rossi, Giorgio Annoni, Federico Cabitza
2023	—	`conf`	Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making. xAI (1) Chiara Natali, Lorenzo Famiglini, Andrea Campagner, Giovanni Andrea La Maida, Enrico Gallazzi, Federico Cabitza
2023	C	`conf`	Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? CD-MAKE Peter Kieseberg, Edgar R. Weippl, A Min Tjoa, Federico Cabitza, Andrea Campagner, Andreas Holzinger
2023	A	`conf`	Credal Learning: Weakly Supervised Learning from Credal Sets. ECAI Andrea Campagner
2023	—	`conf`	Demo: Decision Support System Quality Assessment Tool. CHItaly Federico Cabitza, Andrea Campagner, Chiara Natali
2023	J	`jnl`	Everything is varied: The surprising impact of instantial variation on ML reliability. Appl. Soft Comput. Andrea Campagner, Lorenzo Famiglini, Anna Carobene, Federico Cabitza
2023	C	`conf`	Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice. CD-MAKE Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Chiara Natali, Valerio Caccavella, Enrico Gallazzi
2023	C	`ed.`	Machine Learning and Knowledge Extraction - 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 - September 1, 2023, Proceedings CD-MAKE Andreas Holzinger, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar R. Weippl
2023	J	`jnl`	Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting. Mach. Learn. Knowl. Extr. Federico Cabitza, Andrea Campagner, Chiara Natali, Enea Parimbelli, Luca Ronzio, Matteo Cameli
2023	J	`jnl`	Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI. Expert Syst. Appl. Federico Cabitza, Andrea Campagner, Gianclaudio Malgieri, Chiara Natali, David Schneeberger, Karl Stöger, Andreas Holzinger
2023	J	`jnl`	Rams, hounds and white boxes: Investigating human-AI collaboration protocols in medical diagnosis. Artif. Intell. Medicine Federico Cabitza, Andrea Campagner, Luca Ronzio, Matteo Cameli, Giulia Elena Mandoli, Maria Concetta Pastore, Luca Maria Sconfienza, Duarte Folgado, Marília Barandas, Hugo Gamboa
2023	—	`—`	Robust Learning Methods for Imprecise Data and Cautious Inference. Andrea Campagner
2023	—	`ed.`	Rough Sets - International Joint Conference, IJCRS 2023, Krakow, Poland, October 5-8, 2023, Proceedings IJCRS Andrea Campagner, Oliver Urs Lenz, Shuyin Xia, Dominik Slezak, Jaroslaw Was, JingTao Yao
2023	—	`conf`	The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering. INTERACT (2) Frida Milella, Chiara Natali, Teresa Scantamburlo, Andrea Campagner, Federico Cabitza
2023	C	`conf`	The Tower of Babel in Explainable Artificial Intelligence (XAI). CD-MAKE David Schneeberger, Richard Röttger, Federico Cabitza, Andrea Campagner, Markus Plass, Heimo Müller, Andreas Holzinger
2023	A*	`conf`	Toward a Perspectivist Turn in Ground Truthing for Predictive Computing. AAAI Federico Cabitza, Andrea Campagner, Valerio Basile
2023	A	`conf`	Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use. ECAI Lorenzo Famiglini, Andrea Campagner, Federico Cabitza
2022	—	`conf`	A Confidence Interval-Based Method for Classifier Re-Calibration. MIE Andrea Campagner, Lorenzo Famiglini, Federico Cabitza
2022	—	`conf`	A Distributional Approach for Soft Clustering Comparison and Evaluation. BELIEF Andrea Campagner, Davide Ciucci, Thierry Denoeux
2022	J	`jnl`	A Distributional Approach for Soft Clustering Comparison and Evaluation. CoRR Andrea Campagner, Davide Ciucci, Thierry Denoeux
2022	J	`jnl`	Aggregation operators on shadowed sets. Inf. Sci. Stefania Boffa, Andrea Campagner, Davide Ciucci, Yiyu Yao
2022	J	`jnl`	Belief functions and rough sets: Survey and new insights. Int. J. Approx. Reason. Andrea Campagner, Davide Ciucci, Thierry Denoeux
2022	C	`conf`	Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning. CD-MAKE Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Enrico Gallazzi, Giovanni Andrea La Maida
2022	—	`conf`	Comparative Assessment of Two Data Visualizations to Communicate Medical Test Results Online. VISIGRAPP (3: IVAPP) Federico Cabitza, Andrea Campagner, Enrico Conte
2022	J	`jnl`	Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition. Sensors Nuno Bento, Joana Rebelo, Marília Barandas, André V. Carreiro, Andrea Campagner, Federico Cabitza, Hugo Gamboa
2022	J	`jnl`	Decisions are not all equal - Introducing a utility metric based on case-wise raters' perceptions. Comput. Methods Programs Biomed. Andrea Campagner, Federico Sternini, Federico Cabitza
2022	J	`jnl`	Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine. CoRR Andrea Campagner, Lorenzo Famiglini, Anna Carobene, Federico Cabitza
2022	C	`conf`	Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration. CD-MAKE Federico Cabitza, Andrea Campagner, Lorenzo Famiglini
2022	—	`conf`	Orthopartitions in Knowledge Representation and Machine Learning. IJCRS Davide Ciucci, Stefania Boffa, Andrea Campagner
2022	J	`jnl`	Painting the black box white: experimental findings from applying XAI to an ECG reading setting. CoRR Federico Cabitza, Matteo Cameli, Andrea Campagner, Chiara Natali, Luca Ronzio
2022	B	`conf`	Re-calibrating Machine Learning Models Using Confidence Interval Bounds. MDAI Andrea Campagner, Lorenzo Famiglini, Federico Cabitza
2022	—	`conf`	Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection. IPMU (2) Andrea Campagner, Davide Ciucci
2022	—	`conf`	Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. IJCRS Andrea Campagner, Julian Lienen, Eyke Hüllermeier, Davide Ciucci
2022	J	`jnl`	The unbearable (technical) unreliability of automated facial emotion recognition. Big Data Soc. Federico Cabitza, Andrea Campagner, Martina Mattioli
2022	C	`conf`	Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision. FedCSIS Andrea Campagner, Davide Ciucci
2022	J	`jnl`	Uncertainty representation in dynamical systems using rough set theory. Theor. Comput. Sci. Andrea Campagner, Davide Ciucci, Valentina Dorigatti
2021	—	`conf`	Assessing the impact of medical AI: a survey of physicians' perceptions. ICMHI Federico Cabitza, Andrea Campagner, Valentina Cavosi
2021	J	`jnl`	External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count. Health Inf. Sci. Syst. Andrea Campagner, Anna Carobene, Federico Cabitza
2021	—	`conf`	Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets. IJCRS Andrea Campagner, Davide Ciucci
2021	J	`jnl`	Ground truthing from multi-rater labeling with three-way decision and possibility theory. Inf. Sci. Andrea Campagner, Davide Ciucci, Carl-Magnus Svensson, Marc Thilo Figge, Federico Cabitza
2021	J	`jnl`	Interpretable heartbeat classification using local model-agnostic explanations on ECGs. Comput. Biol. Medicine Inês Neves, Duarte Folgado, Sara Santos, Marília Barandas, Andrea Campagner, Luca Ronzio, Federico Cabitza, Hugo Gamboa
2021	B	`conf`	Learnability in "Learning from Fuzzy Labels". FUZZ-IEEE Andrea Campagner
2021	B	`conf`	Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data. CBMS Lorenzo Famiglini, Giorgio Bini, Anna Carobene, Andrea Campagner, Federico Cabitza
2021	J	`jnl`	Rough set-based feature selection for weakly labeled data. Int. J. Approx. Reason. Andrea Campagner, Davide Ciucci, Eyke Hüllermeier
2021	J	`jnl`	Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading. Health Inf. Sci. Syst. Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza
2021	J	`jnl`	The importance of being external. methodological insights for the external validation of machine learning models in medicine. Comput. Methods Programs Biomed. Federico Cabitza, Andrea Campagner, Felipe Soares, Luis García de Guadiana-Romualdo, Feyissa Challa, Adela Sulejmani, Michela Seghezzi, Anna Carobene
2021	J	`jnl`	The need to move away from agential-AI: Empirical investigations, useful concepts and open issues. Int. J. Hum. Comput. Stud. Federico Cabitza, Andrea Campagner, Carla Simone
2021	J	`jnl`	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 Federico Cabitza, Andrea Campagner
2021	J	`jnl`	Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches. Inf. Sci. Andrea Campagner, Federico Cabitza, Pedro Berjano, Davide Ciucci
2021	J	`jnl`	Toward a Perspectivist Turn in Ground Truthing for Predictive Computing. CoRR Valerio Basile, Federico Cabitza, Andrea Campagner, Michael Fell
2021	C	`conf`	Weighted Utility: A Utility Metric Based on the Case-Wise Raters' Perceptions. CD-MAKE Andrea Campagner, Enrico Conte, Federico Cabitza
2020	—	`conf`	A Formal Learning Theory for Three-Way Clustering. SUM Andrea Campagner, Davide Ciucci
2020	—	`conf`	Approximate Reaction Systems Based on Rough Set Theory. IJCRS Andrea Campagner, Davide Ciucci, Valentina Dorigatti
2020	J	`jnl`	As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI. BMC Medical Informatics Decis. Mak. Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza
2020	J	`jnl`	Assessment and prediction of spine surgery invasiveness with machine learning techniques. Comput. Biol. Medicine Andrea Campagner, Pedro Berjano, Claudio Lamartina, Francesco Langella, Giovanni Lombardi, Federico Cabitza
2020	C	`conf`	Back to the Feature: A Neural-Symbolic Perspective on Explainable AI. CD-MAKE Andrea Campagner, Federico Cabitza
2020	J	`jnl`	Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study. J. Medical Syst. Davide Brinati, Andrea Campagner, Davide Ferrari, Massimo Locatelli, Giuseppe Banfi, Federico Cabitza
2020	B	`conf`	Ensemble Learning, Social Choice and Collective Intelligence - An Experimental Comparison of Aggregation Techniques. MDAI Andrea Campagner, Davide Ciucci, Federico Cabitza
2020	J	`jnl`	Entropy-based shadowed set approximation of intuitionistic fuzzy sets. Int. J. Intell. Syst. Andrea Campagner, Valentina Dorigatti, Davide Ciucci
2020	—	`conf`	Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory. IPMU (1) Andrea Campagner, Davide Ciucci, Eyke Hüllermeier
2020	—	`conf`	H-Accuracy, an Alternative Metric to Assess Classification Models in Medicine. MIE Andrea Campagner, Luca Maria Sconfienza, Federico Cabitza
2020	—	`conf`	Introducing New Measures of Inter- and Intra-Rater Agreement to Assess the Reliability of Medical Ground Truth. MIE Andrea Campagner, Federico Cabitza
2020	J	`jnl`	Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings. BMC Medical Informatics Decis. Mak. Andrea Seveso, Andrea Campagner, Davide Ciucci, Federico Cabitza
2020	J	`jnl`	The three-way-in and three-way-out framework to treat and exploit ambiguity in data. Int. J. Approx. Reason. Andrea Campagner, Federico Cabitza, Davide Ciucci
2020	—	`conf`	Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review. IJCRS Andrea Campagner, Federico Cabitza, Davide Ciucci
2019	—	`conf`	Exploring Medical Data Classification with Three-Way Decision Trees. HEALTHINF Andrea Campagner, Federico Cabitza, Davide Ciucci
2019	C	`conf`	New Frontiers in Explainable AI: Understanding the GI to Interpret the GO. CD-MAKE Federico Cabitza, Andrea Campagner, Davide Ciucci
2019	J	`jnl`	Orthopartitions and soft clustering: Soft mutual information measures for clustering validation. Knowl. Based Syst. Andrea Campagner, Davide Ciucci
2019	B	`conf`	Programmed Inefficiencies in DSS-Supported Human Decision Making. MDAI Federico Cabitza, Andrea Campagner, Davide Ciucci, Andrea Seveso
2019	—	`conf`	Three-Way Classification: Ambiguity and Abstention in Machine Learning. IJCRS Andrea Campagner, Federico Cabitza, Davide Ciucci
2019	J	`jnl`	Who wants accurate models? Arguing for a different metrics to take classification models seriously. CoRR Federico Cabitza, Andrea Campagner
2018	—	`conf`	Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions. IPMU (2) Andrea Campagner, Davide Ciucci
2017	C	`conf`	Measuring Uncertainty in Orthopairs. ECSQARU Andrea Campagner, Davide Ciucci