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2020 – today
- 2024
[j22]Gianluca Demartini
, Kevin Roitero, Stefano Mizzaro:
Data Bias Management. Commun. ACM 67(1): 28-32 (2024)- [j21]Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Gianluca Demartini, Stefano Mizzaro:
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review. Inf. Process. Manag. 61(2): 103672 (2024) - [j20]David La Barbera, Eddy Maddalena, Michael Soprano, Kevin Roitero, Gianluca Demartini, Davide Ceolin, Damiano Spina, Stefano Mizzaro:
Crowdsourced Fact-checking: Does It Actually Work? Inf. Process. Manag. 61(5): 103792 (2024) - [j19]Francesca Da Ros, Luca Di Gaspero, Kevin Roitero, David La Barbera, Stefano Mizzaro, Vincenzo Della Mea, Francesca Valent, Laura Deroma:
Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region. J. Heal. Informatics Res. 8(2): 400-437 (2024) - [j18]Giulia Lucrezia Baroni, Laura Rasotto, Kevin Roitero, Angelica Tulisso, Carla Di Loreto, Vincenzo Della Mea:
Optimizing Vision Transformers for Histopathology: Pretraining and Normalization in Breast Cancer Classification. J. Imaging 10(5): 108 (2024) - [j17]Kevin Roitero, David La Barbera, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Tetsuya Sakai:
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments. ACM Trans. Inf. Syst. 42(1): 21:1-21:26 (2024) - [c46]Riccardo Lunardi, David La Barbera, Kevin Roitero:
The Elusiveness of Detecting Political Bias in Language Models. CIKM 2024: 3922-3926 - [c45]Kevin Roitero, Gianluca D'Abrosca, Andrea Zancola, Vincenzo Della Mea, Stefano Mizzaro:
Generative AI for Energy: Multi-Horizon Power Consumption Forecasting using Large Language Models. CIKM 2024: 4015-4019 - [c44]Kevin Roitero, Michael Soprano, David La Barbera, Eddy Maddalena, Stefano Mizzaro:
Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models. IIR 2024: 74-77 - [c43]Jaspreet Singh, Michael Soprano, Kevin Roitero, Davide Ceolin:
Crowdsourcing Statement Classification to Enhance Information Quality Prediction. MISDOOM 2024: 70-85 - [c42]Xia Zeng, David La Barbera, Kevin Roitero, Arkaitz Zubiaga, Stefano Mizzaro:
Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection. SIGIR 2024: 2332-2336 - [e1]Kevin Roitero, Marco Viviani, Eddy Maddalena, Stefano Mizzaro:
Proceedings of the 14th Italian Information Retrieval Workshop, Udine, Italy, September 5-6, 2024. CEUR Workshop Proceedings 3802, CEUR-WS.org 2024 [contents] - 2023
- [j16]Kevin Roitero, Beatrice Portelli, Giuseppe Serra, Vincenzo Della Mea, Stefano Mizzaro, Gianni Cerro, Michele Vitelli, Mario Molinara:
Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform. IEEE Access 11: 50272-50284 (2023) - [j15]David La Barbera, Kevin Roitero, Stefano Mizzaro:
Combining human intelligence and machine learning for fact-checking: Towards a hybrid human-in-the-loop framework. Intelligenza Artificiale 17(2): 163-172 (2023) - [j14]Erik Brand, Kevin Roitero, Michael Soprano, Afshin Rahimi, Gianluca Demartini:
A Neural Model to Jointly Predict and Explain Truthfulness of Statements. ACM J. Data Inf. Qual. 15(1): 4:1-4:19 (2023) - [j13]Yunke Qu, Kevin Roitero, David La Barbera, Damiano Spina, Stefano Mizzaro, Gianluca Demartini:
Combining Human and Machine Confidence in Truthfulness Assessment. ACM J. Data Inf. Qual. 15(1): 5:1-5:17 (2023) - [j12]Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini:
Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19. Pers. Ubiquitous Comput. 27(1): 59-89 (2023) - [c41]Giulia Lucrezia Baroni, Laura Rasotto, Kevin Roitero, Ameer Hamza Siraj, Vincenzo Della Mea:
Vision Transformers for Breast Cancer Histology Image Classification. ICIAP Workshops (2) 2023: 15-26 - [c40]Davide Ceolin, Kevin Roitero, Furong Guo:
Predicting Crowd Workers Performance: An Information Quality Case. ICWE 2023: 75-90 - [c39]David La Barbera, Michael Soprano, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro:
Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned. IIR 2023: 85-90 - [c38]Michael Soprano, Kevin Roitero, Vincenzo Della Mea, Stefano Mizzaro:
Towards a Conversational-Based Agent for Health Services. Ital-IA 2023: 278-283 - [c37]Kevin Roitero, Andrea Martinuzzi, Maria Teresa Armellin, Gabriella Paparella, Alberto Maniero, Vincenzo Della Mea:
Automated ICF Coding of Rehabilitation Notes for Low-Resource Languages via Continual Training of Language Models. MIE 2023: 763-767 - [i7]Gianluca Demartini, Kevin Roitero, Stefano Mizzaro:
Data Bias Management. CoRR abs/2305.09686 (2023) - 2022
- [j11]Sara Ceschia, Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Luca Di Gaspero, Andrea Schaerf:
Task design in complex crowdsourcing experiments: Item assignment optimization. Comput. Oper. Res. 148: 105995 (2022) - [c36]David La Barbera, Kevin Roitero, Stefano Mizzaro:
A Hybrid Human-In-The-Loop Framework for Fact Checking. NL4AI@AI*IA 2022: 13-23 - [c35]Mihai Horia Popescu, Kevin Roitero, Vincenzo Della Mea:
Explainable Classification of Medical Documents Through a Text-to-Text Transformer. HC@AIxIA 2022: 57-66 - [c34]Kevin Roitero, Cristina Gattazzo, Andrea Zancola, Vincenzo Della Mea, Stefano Mizzaro:
Causal Text-to-Text Transformers for Water Pollution Forecasting. AIABI@AI*IA 2022 - [c33]Francesca Da Ros, Luca Di Gaspero, David La Barbera, Vincenzo Della Mea, Kevin Roitero, Laura Deroma, Sabrina Licata, Francesca Valent:
A Multi-objective Biased Random-Key Genetic Algorithm for the Siting of Emergency Vehicles. MIC 2022: 449-456 - [c32]David La Barbera, Kevin Roitero, Joel Mackenzie, Damiano Spina, Gianluca Demartini, Stefano Mizzaro:
BUM at CheckThat!-2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval. CLEF (Working Notes) 2022: 564-572 - [c31]Tim Draws, David La Barbera, Michael Soprano, Kevin Roitero, Davide Ceolin, Alessandro Checco, Stefano Mizzaro:
The Effects of Crowd Worker Biases in Fact-Checking Tasks. FAccT 2022: 2114-2124 - [c30]Michael Soprano, Kevin Roitero, Francesco Bombassei De Bona, Stefano Mizzaro:
Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf. WSDM 2022: 1605-1608 - [c29]Kevin Roitero, Alessandro Checco, Stefano Mizzaro, Gianluca Demartini:
Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments. WWW 2022: 319-327 - 2021
- [j10]Kevin Roitero, Beatrice Portelli, Mihai Horia Popescu, Vincenzo Della Mea:
DiLBERT: Cheap Embeddings for Disease Related Medical NLP. IEEE Access 9: 159714-159723 (2021) - [j9]Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, Falk Scholer:
On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation. Inf. Process. Manag. 58(6): 102688 (2021) - [j8]Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, Gianluca Demartini:
The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale. Inf. Process. Manag. 58(6): 102710 (2021) - [j7]Lei Han, Kevin Roitero, Ujwal Gadiraju, Cristina Sarasua, Alessandro Checco, Eddy Maddalena, Gianluca Demartini:
The Impact of Task Abandonment in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 33(5): 2266-2279 (2021) - [c28]David La Barbera, Kevin Roitero, Stefano Mizzaro, Vincenzo Della Mea, Francesca Valent:
A Software Simulator for Optimizing Ambulance Location and Response Time: A Preliminary Report. ICDH 2021: 209-211 - [c27]Mihai Horia Popescu, Kevin Roitero, Stefano Travasci, Vincenzo Della Mea:
Automatic Assignment of ICD-10 Codes to Diagnostic Texts using Transformers Based Techniques. ICHI 2021: 188-192 - [c26]Erik Brand, Kevin Roitero, Michael Soprano, Gianluca Demartini:
E-BART: Jointly Predicting and Explaining Truthfulness. TTO 2021: 18-27 - [c25]Yunke Qu, Kevin Roitero, Stefano Mizzaro, Damiano Spina, Gianluca Demartini:
Human-in-the-Loop Systems for Truthfulness: A Study of Human and Machine Confidence. TTO 2021: 40-49 - [i6]Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini:
Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19. CoRR abs/2107.11755 (2021) - [i5]Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, Gianluca Demartini:
The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale. CoRR abs/2108.01222 (2021) - [i4]Gianluca Demartini, Kevin Roitero, Stefano Mizzaro:
Managing Bias in Human-Annotated Data: Moving Beyond Bias Removal. CoRR abs/2110.13504 (2021) - 2020
- [j6]Kevin Roitero, Andrea Brunello, Giuseppe Serra, Stefano Mizzaro:
Effectiveness evaluation without human relevance judgments: A systematic analysis of existing methods and of their combinations. Inf. Process. Manag. 57(2): 102149 (2020) - [j5]Kevin Roitero, J. Shane Culpepper, Mark Sanderson, Falk Scholer, Stefano Mizzaro:
Fewer topics? A million topics? Both?! On topics subsets in test collections. Inf. Retr. J. 23(1): 49-85 (2020) - [j4]David La Barbera, António Polónia, Kevin Roitero, Eduardo Conde-Sousa, Vincenzo Della Mea:
Detection of HER2 from Haematoxylin-Eosin Slides Through a Cascade of Deep Learning Classifiers via Multi-Instance Learning. J. Imaging 6(9): 82 (2020) - [j3]Kevin Roitero:
Cheap IR evaluation: fewer topics, no relevance judgements, and crowdsourced assessments. SIGIR Forum 54(2): 14:1-14:2 (2020) - [c24]Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini:
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? CIKM 2020: 1305-1314 - [c23]David La Barbera, Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Damiano Spina:
Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias. ECIR (2) 2020: 207-214 - [c22]Kevin Roitero, Cristian Bozzato, Vincenzo Della Mea, Stefano Mizzaro, Giuseppe Serra:
Twitter goes to the Doctor: Detecting Medical Tweets using Machine Learning and BERT. SIIRH@ECIR 2020 - [c21]Vincenzo Della Mea, Mihai Horia Popescu, Kevin Roitero:
Underlying Cause of Death Identification from Death Certificates via Categorical Embeddings and Convolutional Neural Networks. ICHI 2020: 1-6 - [c20]Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini:
Can The Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's Background. SIGIR 2020: 439-448 - [c19]Lei Han, Eddy Maddalena, Alessandro Checco, Cristina Sarasua, Ujwal Gadiraju, Kevin Roitero, Gianluca Demartini:
Crowd Worker Strategies in Relevance Judgment Tasks. WSDM 2020: 241-249 - [c18]Kevin Roitero, Ben Carterette, Rishabh Mehrotra, Mounia Lalmas:
Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems. WWW (Companion Volume) 2020: 694-702 - [i3]Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini:
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background. CoRR abs/2005.06915 (2020) - [i2]Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini:
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? CoRR abs/2008.05701 (2020) - [i1]Kevin Roitero:
Cheap IR Evaluation: Fewer Topics, No Relevance Judgements, and Crowdsourced Assessments. CoRR abs/2011.00479 (2020)
2010 – 2019
- 2019
- [c17]Lei Han, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, Gianluca Demartini:
On Transforming Relevance Scales. CIKM 2019: 39-48 - [c16]Kevin Roitero, Andrea Brunello, Julián Urbano, Stefano Mizzaro:
Towards Stochastic Simulations of Relevance Profiles. CIKM 2019: 2217-2220 - [c15]Kevin Roitero, Stefano Mizzaro, Michael Soprano:
Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models. IIR 2019: 6-7 - [c14]Michael Soprano, Kevin Roitero, Stefano Mizzaro:
HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis. BIRNDL@SIGIR 2019: 70-82 - [c13]Fabio Zampieri, Kevin Roitero, J. Shane Culpepper, Oren Kurland, Stefano Mizzaro:
On Topic Difficulty in IR Evaluation: The Effect of Systems, Corpora, and System Components. SIGIR 2019: 909-912 - [c12]Lei Han, Kevin Roitero, Ujwal Gadiraju, Cristina Sarasua, Alessandro Checco, Eddy Maddalena, Gianluca Demartini:
All Those Wasted Hours: On Task Abandonment in Crowdsourcing. WSDM 2019: 321-329 - 2018
- [j2]Kevin Roitero, Marco Passon, Giuseppe Serra, Stefano Mizzaro:
Reproduce. Generalize. Extend. On Information Retrieval Evaluation without Relevance Judgments. ACM J. Data Inf. Qual. 10(3): 11:1-11:32 (2018) - [j1]Kevin Roitero, Michael Soprano, Andrea Brunello, Stefano Mizzaro:
Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation. ACM J. Data Inf. Qual. 10(3): 12:1-12:21 (2018) - [c11]Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Damiano Spina:
How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing. CIKM Workshops 2018 - [c10]Kevin Roitero, Eddy Maddalena, Gianluca Demartini, Stefano Mizzaro:
On Fine-Grained Relevance Scales. SIGIR 2018: 675-684 - [c9]Kevin Roitero, Eddy Maddalena, Yannick Ponte, Stefano Mizzaro:
IRevalOO: An Object Oriented Framework for Retrieval Evaluation. SIGIR 2018: 913-916 - [c8]Kevin Roitero, Michael Soprano, Stefano Mizzaro:
Effectiveness Evaluation with a Subset of Topics: A Practical Approach. SIGIR 2018: 1145-1148 - [c7]Stefano Mizzaro, Josiane Mothe, Kevin Roitero, Md. Zia Ullah:
Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments: Two Sides of the Same Coin. SIGIR 2018: 1233-1236 - [c6]Kevin Roitero:
CHEERS: CHeap & Engineered Evaluation of Retrieval Systems. SIGIR 2018: 1467 - 2017
- [c5]Kevin Roitero, Eddy Maddalena, Stefano Mizzaro:
Do Easy Topics Predict Effectiveness Better Than Difficult Topics? ECIR 2017: 605-611 - [c4]Alessandro Checco, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, Gianluca Demartini:
Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing. HCOMP 2017: 11-20 - [c3]Eddy Maddalena, Kevin Roitero, Gianluca Demartini, Stefano Mizzaro:
Considering Assessor Agreement in IR Evaluation. ICTIR 2017: 75-82 - [c2]Kevin Roitero, Stefano Mizzaro, Giuseppe Serra:
Economic Evaluation of Recommender Systems: A Proposal. IIR 2017: 48-51 - 2016
- [c1]Kevin Roitero, Stefano Mizzaro:
Improving the Efficiency of Retrieval Effectiveness Evaluation: Finding a Few Good Topics with Clustering? IIR 2016
Coauthor Index
[j22] [j21] [j20] [j19] [j17] [c45] [c44] [c42] [e1] [j16] [j15] [j13] [j12] [c39] [c38] [i7] [j11] [c36] [c34] [c32] [c31] [c30] [c29] [j9] [j8] [c28] [c25] [i6] [i5] [i4] [j6] [j5] [c24] [c23] [c22] [c20] [i3] [i2] [c17] [c16] [c15] [c14] [c13] [j2] [j1] [c11] [c10] [c9] [c8] [c7] [c5] [c4] [c3] [c2] [c1]
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