default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAndrea Campagner
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j37]Andrea Campagner, Frida Milella, Davide Ciucci, Federico Cabitza:
Three-way decision in machine learning tasks: a systematic review. Artif. Intell. Rev. 57(9): 228 (2024)- [j36]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: 102819 (2024) - [j35]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: 108042 (2024) - [j34]Andrea Campagner:
Learning from fuzzy labels: Theoretical issues and algorithmic solutions. Int. J. Approx. Reason. 171: 108969 (2024) - [j33]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: 101978 (2024) - [j32]Stefania Boffa, Andrea Campagner, Davide Ciucci:
Partially-defined equivalence relations: Relationship with orthopartitions and connection to rough sets. Inf. Sci. 657: 119941 (2024) - [j31]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): 203 (2024) - [j30]Andrea Campagner, Marília Barandas, Duarte Folgado, Hugo Gamboa, Federico Cabitza:
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7205-7216 (2024) - 2023
- [j29]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: 102506 (2023) - [j28]Andrea Campagner, Lorenzo Famiglini, Anna Carobene, Federico Cabitza:
Everything is varied: The surprising impact of instantial variation on ML reliability. Appl. Soft Comput. 146: 110644 (2023) - [j27]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): 118888 (2023) - [j26]Andrea Campagner, Davide Ciucci, Thierry Denoeux:
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering. Int. J. Approx. Reason. 162: 109008 (2023) - [j25]Andrea Campagner, Davide Ciucci, Federico Cabitza:
Aggregation models in ensemble learning: A large-scale comparison. Inf. Fusion 90: 241-252 (2023) - [j24]Andrea Campagner, Davide Ciucci, Thierry Denoeux:
A general framework for evaluating and comparing soft clusterings. Inf. Sci. 623: 70-93 (2023) - [j23]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): 269-286 (2023) - 2022
- [j22]Federico Cabitza, Andrea Campagner, Martina Mattioli:
The unbearable (technical) unreliability of automated facial emotion recognition. Big Data Soc. 9(2): 205395172211295 (2022) - [j21]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: 106930 (2022) - [j20]Andrea Campagner, Davide Ciucci, Thierry Denoeux:
Belief functions and rough sets: Survey and new insights. Int. J. Approx. Reason. 143: 192-215 (2022) - [j19]Stefania Boffa, Andrea Campagner, Davide Ciucci, Yiyu Yao:
Aggregation operators on shadowed sets. Inf. Sci. 595: 313-333 (2022) - [j18]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): 7324 (2022) - [j17]Andrea Campagner, Davide Ciucci, Valentina Dorigatti:
Uncertainty representation in dynamical systems using rough set theory. Theor. Comput. Sci. 908: 28-42 (2022) - 2021
- [j16]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: 104393 (2021) - [j15]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: 106288 (2021) - [j14]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): 8 (2021) - [j13]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): 37 (2021) - [j12]Andrea Campagner, Davide Ciucci, Eyke Hüllermeier:
Rough set-based feature selection for weakly labeled data. Int. J. Approx. Reason. 136: 150-167 (2021) - [j11]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: 104510 (2021) - [j10]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: 102696 (2021) - [j9]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: 771-790 (2021) - [j8]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: 347-367 (2021) - 2020
- [j7]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: 103796 (2020) - [j6]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: 292-312 (2020) - [j5]Andrea Campagner, Valentina Dorigatti, Davide Ciucci:
Entropy-based shadowed set approximation of intuitionistic fuzzy sets. Int. J. Intell. Syst. 35(12): 2117-2139 (2020) - [j4]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): 135 (2020) - [j3]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): 219 (2020) - [j2]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. 20-S(5): 142 (2020) - 2019
- [j1]Andrea Campagner, Davide Ciucci:
Orthopartitions and soft clustering: Soft mutual information measures for clustering validation. Knowl. Based Syst. 180: 51-61 (2019)
Conference and Workshop Papers
- 2024
- [c45]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: 219-229 - [c44]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: 187-198 - [c43]Federico Cabitza, Caterina Fregosi, Andrea Campagner, Chiara Natali:
Explanations Considered Harmful: The Impact of Misleading Explanations on Accuracy in Hybrid Human-AI Decision Making. xAI (4) 2024: 255-269 - 2023
- [c42]Federico Cabitza, Andrea Campagner, Valerio Basile:
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing. AAAI 2023: 6860-6868 - [c41]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: 136-143 - [c40]Andrea Campagner, Riccardo Angius, Federico Cabitza:
A Question of Trust: Old and New Metrics for the Reliable Assessment of Trustworthy AI. HEALTHINF 2023: 132-143 - [c39]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: 1-12 - [c38]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: 65-81 - [c37]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: 155-169 - [c36]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: 354:1-354:20 - [c35]Federico Cabitza, Andrea Campagner, Chiara Natali:
Demo: Decision Support System Quality Assessment Tool. CHItaly 2023: 57:1-57:4 - [c34]Andrea Campagner:
Credal Learning: Weakly Supervised Learning from Credal Sets. ECAI 2023: 327-334 - [c33]Lorenzo Famiglini, Andrea Campagner, Federico Cabitza:
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use. ECAI 2023: 645-652 - [c32]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: 329-349 - [c31]Stefania Boffa, Andrea Campagner, Davide Ciucci, Yiyu Yao:
Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators. IJCRS 2023: 201-215 - [c30]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: 618-629 - 2022
- [c29]Andrea Campagner, Davide Ciucci, Thierry Denoeux:
A Distributional Approach for Soft Clustering Comparison and Evaluation. BELIEF 2022: 3-12 - [c28]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: 31-50 - [c27]Federico Cabitza, Andrea Campagner, Lorenzo Famiglini:
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration. CD-MAKE 2022: 82-99 - [c26]Andrea Campagner, Davide Ciucci:
Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision. FedCSIS 2022: 243-246 - [c25]Andrea Campagner, Davide Ciucci:
Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection. IPMU (2) 2022: 761-773 - [c24]Federico Cabitza, Andrea Campagner, Enrico Conte:
Comparative Assessment of Two Data Visualizations to Communicate Medical Test Results Online. VISIGRAPP (3: IVAPP) 2022: 195-202 - [c23]Andrea Campagner, Lorenzo Famiglini, Federico Cabitza:
Re-calibrating Machine Learning Models Using Confidence Interval Bounds. MDAI 2022: 132-142 - [c22]Andrea Campagner, Lorenzo Famiglini, Federico Cabitza:
A Confidence Interval-Based Method for Classifier Re-Calibration. MIE 2022: 127-128 - [c21]Davide Ciucci, Stefania Boffa, Andrea Campagner:
Orthopartitions in Knowledge Representation and Machine Learning. IJCRS 2022: 3-18 - [c20]Andrea Campagner, Julian Lienen, Eyke Hüllermeier, Davide Ciucci:
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. IJCRS 2022: 57-70 - 2021
- [c19]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: 160-165 - [c18]Andrea Campagner, Enrico Conte, Federico Cabitza:
Weighted Utility: A Utility Metric Based on the Case-Wise Raters' Perceptions. CD-MAKE 2021: 203-210 - [c17]Andrea Campagner:
Learnability in "Learning from Fuzzy Labels". FUZZ-IEEE 2021: 1-6 - [c16]Federico Cabitza, Andrea Campagner, Valentina Cavosi:
Assessing the impact of medical AI: a survey of physicians' perceptions. ICMHI 2021: 225-231 - [c15]Andrea Campagner, Davide Ciucci:
Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets. IJCRS 2021: 164-179 - 2020
- [c14]Andrea Campagner, Federico Cabitza:
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI. CD-MAKE 2020: 39-55 - [c13]Andrea Campagner, Davide Ciucci, Eyke Hüllermeier:
Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory. IPMU (1) 2020: 471-484 - [c12]Andrea Campagner, Davide Ciucci, Federico Cabitza:
Ensemble Learning, Social Choice and Collective Intelligence - An Experimental Comparison of Aggregation Techniques. MDAI 2020: 53-65 - [c11]Andrea Campagner, Luca Maria Sconfienza, Federico Cabitza:
H-Accuracy, an Alternative Metric to Assess Classification Models in Medicine. MIE 2020: 242-246 - [c10]Andrea Campagner, Federico Cabitza:
Introducing New Measures of Inter- and Intra-Rater Agreement to Assess the Reliability of Medical Ground Truth. MIE 2020: 282-286 - [c9]Andrea Campagner, Davide Ciucci, Valentina Dorigatti:
Approximate Reaction Systems Based on Rough Set Theory. IJCRS 2020: 48-60 - [c8]Andrea Campagner, Federico Cabitza, Davide Ciucci:
Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review. IJCRS 2020: 137-152 - [c7]Andrea Campagner, Davide Ciucci:
A Formal Learning Theory for Three-Way Clustering. SUM 2020: 128-140 - 2019
- [c6]Andrea Campagner, Federico Cabitza, Davide Ciucci:
Exploring Medical Data Classification with Three-Way Decision Trees. HEALTHINF 2019: 147-158 - [c5]Federico Cabitza, Andrea Campagner, Davide Ciucci:
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO. CD-MAKE 2019: 27-47 - [c4]Federico Cabitza, Andrea Campagner, Davide Ciucci, Andrea Seveso:
Programmed Inefficiencies in DSS-Supported Human Decision Making. MDAI 2019: 201-212 - [c3]Andrea Campagner, Federico Cabitza, Davide Ciucci:
Three-Way Classification: Ambiguity and Abstention in Machine Learning. IJCRS 2019: 280-294 - 2018
- [c2]Andrea Campagner, Davide Ciucci:
Three-Way and Semi-supervised Decision Tree Learning Based on Orthopartitions. IPMU (2) 2018: 748-759 - 2017
- [c1]Andrea Campagner, Davide Ciucci:
Measuring Uncertainty in Orthopairs. ECSQARU 2017: 423-432
Editorship
- 2023
- [e2]Andreas Holzinger, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar R. Weippl:
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. Lecture Notes in Computer Science 14065, Springer 2023, ISBN 978-3-031-40836-6 [contents] - [e1]Andrea Campagner, Oliver Urs Lenz, Shuyin Xia, Dominik Slezak, Jaroslaw Was, JingTao Yao:
Rough Sets - International Joint Conference, IJCRS 2023, Krakow, Poland, October 5-8, 2023, Proceedings. Lecture Notes in Computer Science 14481, Springer 2023, ISBN 978-3-031-50958-2 [contents]
Informal and Other Publications
- 2022
- [i5]Andrea Campagner, Davide Ciucci, Thierry Denoeux:
A Distributional Approach for Soft Clustering Comparison and Evaluation. CoRR abs/2206.09827 (2022) - [i4]Andrea Campagner, Lorenzo Famiglini, Anna Carobene, Federico Cabitza:
Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine. CoRR abs/2210.04555 (2022) - [i3]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 abs/2210.15236 (2022) - 2021
- [i2]Valerio Basile, Federico Cabitza, Andrea Campagner, Michael Fell:
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing. CoRR abs/2109.04270 (2021) - 2019
- [i1]Federico Cabitza, Andrea Campagner:
Who wants accurate models? Arguing for a different metrics to take classification models seriously. CoRR abs/1910.09246 (2019)
Coauthor Index
[j37] [j36] [j35] [j33] [j31] [j30] [j29] [j28] [j27] [j25] [j23] [j22] [j21] [j18] [j16] [j15] [j14] [j13] [j11] [j10] [j9] [j8] [j7] [j6] [j4] [j3] [j2] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c33] [c32] [c30] [c28] [c27] [c24] [c23] [c22] [c19] [c18] [c16] [c14] [c12] [c11] [c10] [c8] [c6] [c5] [c4] [c3] [e2] [i4] [i3] [i2] [i1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
