Federico Cabitza

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 103

Top Venues

Publications

Andrea Campagner, Frida Milella, Davide Ciucci, Federico Cabitza
Three-way decision in machine learning tasks: a systematic review. Artif. Intell. Rev. 57 (9) (2024)
Andrea Campagner, Frida Milella, Giuseppe Banfi, Federico Cabitza
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. 24 (4) (2024)
Marília Barandas, Lorenzo Famiglini, Andrea Campagner, Duarte Folgado, Raquel Simão, Federico Cabitza, Hugo Gamboa
Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram. Inf. Fusion 101 (2024)
Federico Cabitza, Lorenzo Famiglini, Andrea Campagner, Luca Maria Sconfienza, Stefano Fusco, Valerio Caccavella, Enrico Gallazzi
Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI. MDAI (2024)
Federico Cabitza, Chiara Natali, Lorenzo Famiglini, Andrea Campagner, Valerio Caccavella, Enrico Gallazzi
Never tell me the odds: Investigating pro-hoc explanations in medical decision making. Artif. Intell. Medicine 150 (2024)
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106 (2024)
Chiara Natali, Andrea Campagner, Federico Cabitza
Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems. BIOSTEC (2) (2024)
Lorenzo Famiglini, Andrea Campagner, Marília Barandas, Giovanni Andrea La Maida, Enrico Gallazzi, Federico Cabitza
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems. Comput. Biol. Medicine 170 (2024)
Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Chiara Natali, Valerio Caccavella, Enrico Gallazzi
Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice. CD-MAKE (2023)
Federico Cabitza, Andrea Campagner, Riccardo Angius, Chiara Natali, Carlo Reverberi
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making. CHI (2023)
Federico Cabitza, Andrea Campagner, Luca Ronzio, Matteo Cameli, Giulia Elena Mandoli, Maria Concetta Pastore, Luca Maria Sconfienza, Duarte Folgado, Marília Barandas, Hugo Gamboa
Rams, hounds and white boxes: Investigating human-AI collaboration protocols in medical diagnosis. Artif. Intell. Medicine 138 (2023)
David Schneeberger, Richard Röttger, Federico Cabitza, Andrea Campagner, Markus Plass, Heimo Müller, Andreas Holzinger
The Tower of Babel in Explainable Artificial Intelligence (XAI). CD-MAKE (2023)
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR (2023)
Peter Kieseberg, Edgar R. Weippl, A Min Tjoa, Federico Cabitza, Andrea Campagner, Andreas Holzinger
Controllable AI - An Alternative to Trustworthiness in Complex AI Systems? CD-MAKE (2023)
Andrea Campagner, Riccardo Angius, Federico Cabitza
A Question of Trust: Old and New Metrics for the Reliable Assessment of Trustworthy AI. HEALTHINF (2023)
Andrea Campagner, Davide Ciucci, Federico Cabitza
Aggregation models in ensemble learning: A large-scale comparison. Inf. Fusion 90 (2023)
Federico Cabitza, Andrea Campagner, Gianclaudio Malgieri, Chiara Natali, David Schneeberger, Karl Stöger, Andreas Holzinger
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI. Expert Syst. Appl. 213 (Part) (2023)
Chiara Natali, Lorenzo Famiglini, Andrea Campagner, Giovanni Andrea La Maida, Enrico Gallazzi, Federico Cabitza
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making. xAI (1) (2023)
Federico Cabitza, Andrea Campagner, Chiara Natali, Enea Parimbelli, Luca Ronzio, Matteo Cameli
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting. Mach. Learn. Knowl. Extr. 5 (1) (2023)
Federico Cabitza, Andrea Campagner, Valerio Basile
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing. AAAI (2023)
Duarte Folgado, Marília Barandas, Lorenzo Famiglini, Ricardo Santos, Federico Cabitza, Hugo Gamboa
Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series. Inf. Fusion 100 (2023)
Andrea Campagner, Lorenzo Famiglini, Beatrice Arosio, Paolo Rossi, Giorgio Annoni, Federico Cabitza
Biomarkers for mixed dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic. AIxAS@AI*IA (2023)
Frida Milella, Chiara Natali, Teresa Scantamburlo, Andrea Campagner, Federico Cabitza
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering. INTERACT (2) (2023)
Lorenzo Famiglini, Andrea Campagner, Federico Cabitza
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use. ECAI (2023)
Angelo Fabio d'Aiello, Federico Cabitza, Chiara Natali, Sophia Viganò, Paolo Ferrero, Ludovica Bognoni, Giulia Pasqualin, Alessandro Giamberti, Massimo Chessa
The Effect of Holographic Heart Models and Mixed Reality for Anatomy Learning in Congenital Heart Disease: An Exploratory Study. J. Medical Syst. 47 (1) (2023)
Andrea Campagner, Lorenzo Famiglini, Anna Carobene, Federico Cabitza
Everything is varied: The surprising impact of instantial variation on ML reliability. Appl. Soft Comput. 146 (2023)
Federico Cabitza, Andrea Campagner, Chiara Natali
Demo: Decision Support System Quality Assessment Tool. CHItaly (2023)
Andrea Campagner, Lorenzo Famiglini, Federico Cabitza
A Confidence Interval-Based Method for Classifier Re-Calibration. MIE (2022)
Federico Cabitza, Davide Ciucci, Gabriella Pasi, Marco Viviani
Responsible AI in Healthcare. CoRR (2022)
Federico Cabitza, Andrea Campagner, Lorenzo Famiglini
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration. CD-MAKE (2022)
Federico Cabitza, Matteo Cameli, Andrea Campagner, Chiara Natali, Luca Ronzio
Painting the black box white: experimental findings from applying XAI to an ECG reading setting. CoRR (2022)
Nuno Bento, Joana Rebelo, Marília Barandas, André V. Carreiro, Andrea Campagner, Federico Cabitza, Hugo Gamboa
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition. Sensors 22 (19) (2022)
Andrea Campagner, Federico Sternini, Federico Cabitza
Decisions are not all equal - Introducing a utility metric based on case-wise raters' perceptions. Comput. Methods Programs Biomed. 221 (2022)
Federico Cabitza, Andrea Campagner, Martina Mattioli
The unbearable (technical) unreliability of automated facial emotion recognition. Big Data Soc. 9 (2) (2022)
Federico Cabitza, Chiara Natali
Open, Multiple, Adjunct. Decision Support at the Time of Relational AI. HHAI (2022)
Federico Cabitza, Andrea Campagner, Enrico Conte
Comparative Assessment of Two Data Visualizations to Communicate Medical Test Results Online. VISIGRAPP (3: IVAPP) (2022)
Federico Cabitza
Wirewalking over Two Medical AI Chasms: Results and Open Problems in Making "Valid AI" Also Useful in Medical Practice. BIODEVICES (2022)
Andrea Campagner, Lorenzo Famiglini, Federico Cabitza
Re-calibrating Machine Learning Models Using Confidence Interval Bounds. MDAI (2022)
Noemi Stuppia, Federico Sternini, Federica Miola, Giorgia Picci, Claudia Boarini, Federico Cabitza, Alice Ravizza
Risk-based Comprehensive Usability Evaluation of Software as a Medical Device. HEALTHINF (2022)
Andrea Campagner, Lorenzo Famiglini, Anna Carobene, Federico Cabitza
Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine. CoRR (2022)
Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Enrico Gallazzi, Giovanni Andrea La Maida
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning. CD-MAKE (2022)
Federico Cabitza, Andrea Campagner, Felipe Soares, Luis García de Guadiana-Romualdo, Feyissa Challa, Adela Sulejmani, Michela Seghezzi, Anna Carobene
The importance of being external. methodological insights for the external validation of machine learning models in medicine. Comput. Methods Programs Biomed. 208 (2021)
Andrea Campagner, Anna Carobene, Federico Cabitza
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count. Health Inf. Sci. Syst. 9 (1) (2021)
Federico Cabitza, Andrea Campagner, Valentina Cavosi
Assessing the impact of medical AI: a survey of physicians' perceptions. ICMHI (2021)
Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saúl Calderón Ramírez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand
Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. 45 (12) (2021)
Valerio Basile, Federico Cabitza, Andrea Campagner, Michael Fell
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing. CoRR (2021)
Inês Neves, Duarte Folgado, Sara Santos, Marília Barandas, Andrea Campagner, Luca Ronzio, Federico Cabitza, Hugo Gamboa
Interpretable heartbeat classification using local model-agnostic explanations on ECGs. Comput. Biol. Medicine 133 (2021)
Andrea Campagner, Enrico Conte, Federico Cabitza
Weighted Utility: A Utility Metric Based on the Case-Wise Raters' Perceptions. CD-MAKE (2021)
Lorenzo Famiglini, Giorgio Bini, Anna Carobene, Andrea Campagner, Federico Cabitza
Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data. CBMS (2021)
Andrea Campagner, Federico Cabitza, Pedro Berjano, Davide Ciucci
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches. Inf. Sci. 579 (2021)
Andrea Campagner, Davide Ciucci, Carl-Magnus Svensson, Marc Thilo Figge, Federico Cabitza
Ground truthing from multi-rater labeling with three-way decision and possibility theory. Inf. Sci. 545 (2021)
Federico Cabitza, Andrea Campagner
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 153 (2021)
Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading. Health Inf. Sci. Syst. 9 (1) (2021)
Federico Cabitza, Andrea Campagner, Carla Simone
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues. Int. J. Hum. Comput. Stud. 155 (2021)
Federico Cabitza, Angela Locoro, Carlo Batini
Making Open Data more Personal Through a Social Value Perspective: a Methodological Approach. Inf. Syst. Frontiers 22 (1) (2020)
Andrea Campagner, Luca Maria Sconfienza, Federico Cabitza
H-Accuracy, an Alternative Metric to Assess Classification Models in Medicine. MIE (2020)
Federico Sternini, Giuseppe Fenza, Domenico Furno, Francesco Orciuoli Jr., Alice Ravizza, Federico Cabitza
A Novel Method for Validating Multi-Classifiers. A Case Study for ICF-Based Health Status Classification. pHealth (2020)
Andrea Seveso, Andrea Campagner, Davide Ciucci, Federico Cabitza
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings. BMC Medical Informatics Decis. Mak. (5) (2020)
Alice Ravizza, Federico Sternini, Filippo Molinari, Eugenio Santoro, Federico Cabitza
A Proposal For COVID-19 Applications Enabling Extensive Epidemiological Studies. CENTERIS/ProjMAN/HCist (2020)
Federico Cabitza, Angela Locoro, Aurelio Ravarini
Trading off between control and autonomy: a narrative review around de-design. Behav. Inf. Technol. 39 (1) (2020)
Andrea Seveso, Valentina Bozzetti, Paolo Tagliabue, Maria Luisa Ventura, Federico Cabitza
Developing a Machine Learning Model for Predicting Postnatal Growth in Very Low Birth Weight Infants. HEALTHINF (2020)
Michela Assale, Silvia Bordogna, Federico Cabitza
Vague Visualizations to Reduce Quantification Bias in Shared Medical Decision Making. VISIGRAPP (3: IVAPP) (2020)
Andrea Campagner, Davide Ciucci, Federico Cabitza
Ensemble Learning, Social Choice and Collective Intelligence - An Experimental Comparison of Aggregation Techniques. MDAI (2020)
Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Andrea Campagner, Federico Cabitza, Davide Ciucci
The three-way-in and three-way-out framework to treat and exploit ambiguity in data. Int. J. Approx. Reason. 119 (2020)
Davide Brinati, Andrea Campagner, Davide Ferrari, Massimo Locatelli, Giuseppe Banfi, Federico Cabitza
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study. J. Medical Syst. 44 (8) (2020)
Andrea Campagner, Pedro Berjano, Claudio Lamartina, Francesco Langella, Giovanni Lombardi, Federico Cabitza
Assessment and prediction of spine surgery invasiveness with machine learning techniques. Comput. Biol. Medicine 121 (2020)
Andrea Campagner, Federico Cabitza
Introducing New Measures of Inter- and Intra-Rater Agreement to Assess the Reliability of Medical Ground Truth. MIE (2020)
Andrea Campagner, Federico Cabitza
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI. CD-MAKE (2020)
Andrea Campagner, Federico Cabitza, Davide Ciucci
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review. IJCRS (2020)
Claus Bossen, Kathleen H. Pine, Federico Cabitza, Gunnar Ellingsen, Enrico Maria Piras
Data work in healthcare: An Introduction. Health Informatics J. 25 (3) (2019)
Andrea Campagner, Federico Cabitza, Davide Ciucci
Three-Way Classification: Ambiguity and Abstention in Machine Learning. IJCRS (2019)
Federico Cabitza, Gunnar Ellingsen, Angela Locoro, Carla Simone
Repetita Iuvant: Exploring and Supporting Redundancy in Hospital Practices. Comput. Support. Cooperative Work. 28 (1-2) (2019)
Federico Cabitza, Andrea Campagner, Davide Ciucci
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO. CD-MAKE (2019)
Federico Cabitza
Biases Affecting Human Decision Making in AI-Supported Second Opinion Settings. MDAI (2019)
Federico Cabitza, Andrea Campagner
Who wants accurate models? Arguing for a different metrics to take classification models seriously. CoRR (2019)
Federico Cabitza, Andrea Campagner, Davide Ciucci, Andrea Seveso
Programmed Inefficiencies in DSS-Supported Human Decision Making. MDAI (2019)
Andrea Campagner, Federico Cabitza, Davide Ciucci
Exploring Medical Data Classification with Three-Way Decision Trees. HEALTHINF (2019)
Michela Assale, Erica Barbero, Federico Cabitza
Digitizing the Informed Consent: the Challenges to Design for Practices. CBMS (2019)
Enrico Maria Piras, Federico Cabitza, Myriam Lewkowicz, Liam Bannon
Personal Health Records and Patient-Oriented Infrastructures: Building Technology, Shaping (New) Patients, and Healthcare Practitioners. Comput. Support. Cooperative Work. 28 (6) (2019)
Federico Cabitza, Angela Locoro, Camilla Alderighi, Raffaele Rasoini, Domenico Compagnone, Pedro Berjano
The elephant in the record: On the multiplicity of data recording work. Health Informatics J. 25 (3) (2019)
Federico Cabitza, Linda Greta Dui, Giuseppe Banfi
PROs in the wild: Assessing the validity of patient reported outcomes in an electronic registry. Comput. Methods Programs Biomed. 181 (2019)
Federico Cabitza, Angela Locoro, Aurelio Ravarini
3D printing objects as knowledge artifacts for a do-it-yourself approach in clinical practice: A questionnaire-based user study in the orthopaedics domain. Data Technol. Appl. 52 (1) (2018)
Federico Cabitza, Davide Ciucci
Fuzzification of Ordinal Classes. The Case of the HL7 Severity Grading. SUM (2018)
Federico Cabitza, Linda Greta Dui
Collecting Patient Reported Outcomes in the Wild: Opportunities and Challenges. MIE (2018)
Linda Greta Dui, Federico Cabitza, Pedro Berjano
Minimal Important Difference in Outcome of Disc Degenerative Disease Treatment: The Patients' Perspective. MIE (2018)
Federico Cabitza
Breeding electric zebras in the fields of Medicine. CoRR (2017)
Federico Cabitza, Angela Locoro
Questionnaires in the design and evaluation of community-oriented technologies. Int. J. Web Based Communities 13 (1) (2017)
Angela Locoro, Aurelio Ravarini, Federico Cabitza, Luca Mari
Is Making the New Knowing? Tangible and Intangible Knowledge Artifacts in Didiy. ECIS (2017)
Federico Cabitza, Davide Ciucci, Raffaele Rasoini
A giant with feet of clay: on the validity of the data that feed machine learning in medicine. CoRR (2017)
Federico Cabitza, Daniela Fogli, Rosa Lanzilotti, Antonio Piccinno
Rule-based tools for the configuration of ambient intelligence systems: a comparative user study. Multim. Tools Appl. 76 (4) (2017)
Angela Locoro, Federico Cabitza, Rossana Actis-Grosso, Carlo Batini
Static and interactive infographics in daily tasks: A value-in-use and quality of interaction user study. Comput. Hum. Behav. 71 (2017)
Federico Cabitza, Alvise Mattozzi
The semiotics of configurations for the immanent design of interactive computational systems. J. Vis. Lang. Comput. 40 (2017)
Federico Cabitza, Davide Ciucci, Angela Locoro
Exploiting collective knowledge with three-way decision theory: Cases from the questionnaire-based research. Int. J. Approx. Reason. 83 (2017)
Federico Cabitza, Angela Locoro, Carla Simone
"You Cannot Grow Viscum on Soil": The "Good" Corporate Social Media Also Fail. COOP (2016)
Federico Cabitza, Angela Locoro, Daniela Fogli, Massimiliano Giacomin
Valuable Visualization of Healthcare Information: From the Quantified Self Data to Conversations. AVI (2016)
Federico Cabitza, Rosantonietta Scramaglia, Denise Cornetta, Carla Simone
When the web supports communities of place: the 'Social Street' case in Italy. Int. J. Web Based Communities 12 (3) (2016)
Claus Bossen, Kathleen H. Pine, Gunnar Ellingsen, Federico Cabitza
Data-work in Healthcare: The New Work Ecologies of Healthcare Infrastructures. CSCW Companion (2016)
Federico Cabitza, Angela Locoro
Human-Data Interaction in Healthcare: Acknowledging Use-related Chasms to Design for Better Health Information. CoRR (2016)
Federico Cabitza, Francesco Del Zotti, Angela Locoro
Probing Interactivity in Open Data for General Practice. An Evidence-Based Approach. VVH@AVI (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Federico Cabitza