Improving the Efficiency of Retrieval Effectiveness Evaluation: Finding a Few Good Topics with Clustering? - Kevin Roitero; Stefano Mizzaro (IIR, 2016)

Do Easy Topics Predict Effectiveness Better Than Difficult Topics? - Kevin Roitero; Eddy Maddalena; Stefano Mizzaro (ECIR, 2017)

Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing. - Alessandro Checco; Kevin Roitero; Eddy Maddalena; Stefano Mizzaro; Gianluca Demartini (HCOMP, 2017)

Considering Assessor Agreement in IR Evaluation. - Eddy Maddalena; Kevin Roitero; Gianluca Demartini; Stefano Mizzaro (ICTIR, 2017)

Economic Evaluation of Recommender Systems: A Proposal. - Kevin Roitero; Stefano Mizzaro; Giuseppe Serra 001 (IIR, 2017)

How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing. - Kevin Roitero; Gianluca Demartini; Stefano Mizzaro; Damiano Spina (CIKM Workshops, 2018)

Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments: Two Sides of the Same Coin. - Stefano Mizzaro; Josiane Mothe; Kevin Roitero; Md. Zia Ullah (SIGIR, 2018)

CHEERS: CHeap & Engineered Evaluation of Retrieval Systems. - Kevin Roitero (SIGIR, 2018)

On Fine-Grained Relevance Scales. - Kevin Roitero; Eddy Maddalena; Gianluca Demartini; Stefano Mizzaro (SIGIR, 2018)

IRevalOO: An Object Oriented Framework for Retrieval Evaluation. - Kevin Roitero; Eddy Maddalena; Yannick Ponte; Stefano Mizzaro (SIGIR, 2018)

Effectiveness Evaluation with a Subset of Topics: A Practical Approach. - Kevin Roitero; Michael Soprano; Stefano Mizzaro (SIGIR, 2018)

Reproduce. Generalize. Extend. On Information Retrieval Evaluation without Relevance Judgments. - Kevin Roitero; Marco Passon; Giuseppe Serra 001; Stefano Mizzaro (ACM J. Data Inf. Qual., 2018)

Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation. - Kevin Roitero; Michael Soprano; Andrea Brunello; Stefano Mizzaro (ACM J. Data Inf. Qual., 2018)

On Transforming Relevance Scales. - Lei Han 003; Kevin Roitero; Eddy Maddalena; Stefano Mizzaro; Gianluca Demartini (CIKM, 2019)

Towards Stochastic Simulations of Relevance Profiles. - Kevin Roitero; Andrea Brunello; Julián Urbano; Stefano Mizzaro (CIKM, 2019)

Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models. - Kevin Roitero; Stefano Mizzaro; Michael Soprano (IIR, 2019)

HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis. - Michael Soprano; Kevin Roitero; Stefano Mizzaro (BIRNDL@SIGIR, 2019)

On Topic Difficulty in IR Evaluation: The Effect of Systems, Corpora, and System Components. - Fabio Zampieri; Kevin Roitero; J. Shane Culpepper; Oren Kurland; Stefano Mizzaro (SIGIR, 2019)

All Those Wasted Hours: On Task Abandonment in Crowdsourcing. - Lei Han 003; Kevin Roitero; Ujwal Gadiraju; Cristina Sarasua; Alessandro Checco; Eddy Maddalena; Gianluca Demartini (WSDM, 2019)

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? - Kevin Roitero; Michael Soprano; Beatrice Portelli; Damiano Spina; Vincenzo Della Mea; Giuseppe Serra 001; Stefano Mizzaro; Gianluca Demartini (CIKM, 2020)

Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias. - David La Barbera; Kevin Roitero; Gianluca Demartini; Stefano Mizzaro; Damiano Spina (ECIR (2), 2020)

Twitter goes to the Doctor: Detecting Medical Tweets using Machine Learning and BERT. - Kevin Roitero; Cristian Bozzato; Vincenzo Della Mea; Stefano Mizzaro; Giuseppe Serra 001 (SIIRH@ECIR, 2020)

Underlying Cause of Death Identification from Death Certificates via Categorical Embeddings and Convolutional Neural Networks. - Vincenzo Della Mea; Mihai Horia Popescu; Kevin Roitero (ICHI, 2020)

Can The Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's Background. - Kevin Roitero; Michael Soprano; Shaoyang Fan; Damiano Spina; Stefano Mizzaro; Gianluca Demartini (SIGIR, 2020)

Crowd Worker Strategies in Relevance Judgment Tasks. - Lei Han 003; Eddy Maddalena; Alessandro Checco; Cristina Sarasua; Ujwal Gadiraju; Kevin Roitero; Gianluca Demartini (WSDM, 2020)

Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems. - Kevin Roitero; Ben Carterette; Rishabh Mehrotra; Mounia Lalmas (WWW (Companion Volume), 2020)

Effectiveness evaluation without human relevance judgments: A systematic analysis of existing methods and of their combinations. - Kevin Roitero; Andrea Brunello; Giuseppe Serra 001; Stefano Mizzaro (Inf. Process. Manag., 2020)

Fewer topics? A million topics? Both?! On topics subsets in test collections. - Kevin Roitero; J. Shane Culpepper; Mark Sanderson; Falk Scholer; Stefano Mizzaro (Inf. Retr. J., 2020)

Detection of HER2 from Haematoxylin-Eosin Slides Through a Cascade of Deep Learning Classifiers via Multi-Instance Learning. - David La Barbera; António Polónia; Kevin Roitero; Eduardo Conde-Sousa; Vincenzo Della Mea (J. Imaging, 2020)

Cheap IR evaluation: fewer topics, no relevance judgements, and crowdsourced assessments. - Kevin Roitero (SIGIR Forum, 2020)

A Software Simulator for Optimizing Ambulance Location and Response Time: A Preliminary Report. - David La Barbera; Kevin Roitero; Stefano Mizzaro; Vincenzo Della Mea; Francesca Valent (ICDH, 2021)

Automatic Assignment of ICD-10 Codes to Diagnostic Texts using Transformers Based Techniques. - Mihai Horia Popescu; Kevin Roitero; Stefano Travasci; Vincenzo Della Mea (ICHI, 2021)

E-BART: Jointly Predicting and Explaining Truthfulness. - Erik Brand; Kevin Roitero; Michael Soprano; Gianluca Demartini (TTO, 2021)

Human-in-the-Loop Systems for Truthfulness: A Study of Human and Machine Confidence. - Yunke Qu; Kevin Roitero; Stefano Mizzaro; Damiano Spina; Gianluca Demartini (TTO, 2021)

DiLBERT: Cheap Embeddings for Disease Related Medical NLP. - Kevin Roitero; Beatrice Portelli; Mihai Horia Popescu; Vincenzo Della Mea (IEEE Access, 2021)

Managing Bias in Human-Annotated Data: Moving Beyond Bias Removal. - Gianluca Demartini; Kevin Roitero; Stefano Mizzaro (CoRR, 2021)

On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation. - Kevin Roitero; Eddy Maddalena; Stefano Mizzaro; Falk Scholer (Inf. Process. Manag., 2021)

The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale. - Michael Soprano; Kevin Roitero; David La Barbera; Davide Ceolin; Damiano Spina; Stefano Mizzaro; Gianluca Demartini (Inf. Process. Manag., 2021)

The Impact of Task Abandonment in Crowdsourcing. - Lei Han 003; Kevin Roitero; Ujwal Gadiraju; Cristina Sarasua; Alessandro Checco; Eddy Maddalena; Gianluca Demartini (IEEE Trans. Knowl. Data Eng., 2021)

A Hybrid Human-In-The-Loop Framework for Fact Checking. - David La Barbera; Kevin Roitero; Stefano Mizzaro (NL4AI@AI*IA, 2022)

Explainable Classification of Medical Documents Through a Text-to-Text Transformer. - Mihai Horia Popescu; Kevin Roitero; Vincenzo Della Mea (HC@AIxIA, 2022)

Causal Text-to-Text Transformers for Water Pollution Forecasting. - Kevin Roitero; Cristina Gattazzo; Andrea Zancola; Vincenzo Della Mea; Stefano Mizzaro (AIABI@AI*IA, 2022)

A Multi-objective Biased Random-Key Genetic Algorithm for the Siting of Emergency Vehicles. - Francesca Da Ros; Luca Di Gaspero; David La Barbera; Vincenzo Della Mea; Kevin Roitero; Laura Deroma; Sabrina Licata; Francesca Valent (MIC, 2022)

BUM at CheckThat!-2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval. - David La Barbera; Kevin Roitero; Joel Mackenzie; Damiano Spina; Gianluca Demartini; Stefano Mizzaro (CLEF (Working Notes), 2022)

The Effects of Crowd Worker Biases in Fact-Checking Tasks. - Tim Draws; David La Barbera; Michael Soprano; Kevin Roitero; Davide Ceolin; Alessandro Checco; Stefano Mizzaro (FAccT, 2022)

Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf. - Michael Soprano; Kevin Roitero; Francesco Bombassei De Bona; Stefano Mizzaro (WSDM, 2022)

Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments. - Kevin Roitero; Alessandro Checco; Stefano Mizzaro; Gianluca Demartini (WWW, 2022)

Task design in complex crowdsourcing experiments: Item assignment optimization. - Sara Ceschia; Kevin Roitero; Gianluca Demartini; Stefano Mizzaro; Luca Di Gaspero; Andrea Schaerf (Comput. Oper. Res., 2022)

Vision Transformers for Breast Cancer Histology Image Classification. - Giulia Lucrezia Baroni; Laura Rasotto; Kevin Roitero; Ameer Hamza Siraj; Vincenzo Della Mea (ICIAP Workshops (2), 2023)

Predicting Crowd Workers Performance: An Information Quality Case. - Davide Ceolin; Kevin Roitero; Furong Guo (ICWE, 2023)

Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned. - David La Barbera; Michael Soprano; Kevin Roitero; Eddy Maddalena; Stefano Mizzaro (IIR, 2023)

Towards a Conversational-Based Agent for Health Services. - Michael Soprano; Kevin Roitero; Vincenzo Della Mea; Stefano Mizzaro (Ital-IA, 2023)

Automated ICF Coding of Rehabilitation Notes for Low-Resource Languages via Continual Training of Language Models. - Kevin Roitero; Andrea Martinuzzi; Maria Teresa Armellin; Gabriella Paparella; Alberto Maniero; Vincenzo Della Mea (MIE, 2023)

Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform. - Kevin Roitero; Beatrice Portelli; Giuseppe Serra 001; Vincenzo Della Mea; Stefano Mizzaro; Gianni Cerro; Michele Vitelli; Mario Molinara (IEEE Access, 2023)

Combining human intelligence and machine learning for fact-checking: Towards a hybrid human-in-the-loop framework. - David La Barbera; Kevin Roitero; Stefano Mizzaro (Intelligenza Artificiale, 2023)

Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19. - Kevin Roitero; Michael Soprano; Beatrice Portelli; Massimiliano De Luise; Damiano Spina; Vincenzo Della Mea; Giuseppe Serra 001; Stefano Mizzaro; Gianluca Demartini (Pers. Ubiquitous Comput., 2023)

A Neural Model to Jointly Predict and Explain Truthfulness of Statements. - Erik Brand; Kevin Roitero; Michael Soprano; Afshin Rahimi 001; Gianluca Demartini (ACM J. Data Inf. Qual., 2023)

Combining Human and Machine Confidence in Truthfulness Assessment. - Yunke Qu; Kevin Roitero; David La Barbera; Damiano Spina; Stefano Mizzaro; Gianluca Demartini (ACM J. Data Inf. Qual., 2023)

The Elusiveness of Detecting Political Bias in Language Models. - Riccardo Lunardi; David La Barbera; Kevin Roitero (CIKM, 2024)

Generative AI for Energy: Multi-Horizon Power Consumption Forecasting using Large Language Models. - Kevin Roitero; Gianluca D'Abrosca; Andrea Zancola; Vincenzo Della Mea; Stefano Mizzaro (CIKM, 2024)

Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models. - Kevin Roitero; Michael Soprano; David La Barbera; Eddy Maddalena; Stefano Mizzaro (IIR, 2024)

Crowdsourcing Statement Classification to Enhance Information Quality Prediction. - Jaspreet Singh; Michael Soprano; Kevin Roitero; Davide Ceolin (MISDOOM, 2024)

Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection. - Xia Zeng; David La Barbera; Kevin Roitero; Arkaitz Zubiaga; Stefano Mizzaro (SIGIR, 2024)

Crowdsourced Fact-checking: Does It Actually Work? - David La Barbera; Eddy Maddalena; Michael Soprano; Kevin Roitero; Gianluca Demartini; Davide Ceolin; Damiano Spina; Stefano Mizzaro (Inf. Process. Manag., 2024)

Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms. - Michael Soprano; Kevin Roitero; Ujwal Gadiraju; Eddy Maddalena; Gianluca Demartini (ACM Trans. Soc. Comput., 2024)

Data Bias Management. - Gianluca Demartini; Kevin Roitero; Stefano Mizzaro (Commun. ACM, 2024)

How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments. - Kevin Roitero; David La Barbera; Michael Soprano; Gianluca Demartini; Stefano Mizzaro; Tetsuya Sakai (ACM Trans. Inf. Syst., 2024)

Cognitive Biases in Fact-Checking and Their Countermeasures: A Review. - Michael Soprano; Kevin Roitero; David La Barbera; Davide Ceolin; Damiano Spina; Gianluca Demartini; Stefano Mizzaro (Inf. Process. Manag., 2024)

Optimizing Vision Transformers for Histopathology: Pretraining and Normalization in Breast Cancer Classification. - Giulia Lucrezia Baroni; Laura Rasotto; Kevin Roitero; Angelica Tulisso; Carla Di Loreto; Vincenzo Della Mea (J. Imaging, 2024)

Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region. - Francesca Da Ros; Luca Di Gaspero; Kevin Roitero; David La Barbera; Stefano Mizzaro; Vincenzo Della Mea; Francesca Valent; Laura Deroma (J. Heal. Informatics Res., 2024)

Report on the 14th Italian Information Retrieval Workshop (IIR 2024). - Eddy Maddalena; Stefano Mizzaro; Kevin Roitero; Marco Viviani 001; David La Barbera; Sandip Modha; Gabriella Pasi; Francesca Da Ros; Michael Soprano (SIGIR Forum, 2024)

Report on the Hands-On PhD Course on Responsible AI from the Lens of an Information Access Researcher. - Damiano Spina; Kevin Roitero; Stefano Mizzaro; Vincenzo Della Mea; Francesca Da Ros; Michael Soprano; Hafsa Akebli; Alex Falcon; Mehdi Fasihi; Alessio Fiorin; David La Barbera; Daniele Lizzio Bosco; et al. (SIGIR Forum, 2024)

A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking. - Francesco Bombassei De Bona; David La Barbera; Stefano Mizzaro; Kevin Roitero (ECIR (3), 2025)

Leveraging LLMs for Energy Forecasting: The AcegasApsAmga Case Study. - Kevin Roitero; Andrea Zancola; Vincenzo Della Mea; Stefano Mizzaro (ECIR (5), 2025)

Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features? - Francesca Da Ros; Luca Di Gaspero; Kevin Roitero (EvoApplications (2), 2025)

Benchmarking Feature Extractors for Prostate Cancer Detection Using Graph Attention Networks: A Focus on Foundation Models. - Hafsa Akebli; Vincenzo Della Mea; Kevin Roitero (ICHI, 2025)

PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare. - Riccardo Lunardi; Michael Soprano; Paolo Coppola 001; Vincenzo Della Mea; Stefano Mizzaro; Kevin Roitero (SIGIR, 2025)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking. - Kevin Roitero; Dustin Wright 001; Michael Soprano; Isabelle Augenstein; Stefano Mizzaro (SIGIR, 2025)

The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness Assessment. - Michael Soprano; Denis Eduard Tapu; David La Barbera; Kevin Roitero; Stefano Mizzaro (SIGIR, 2025)

Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas. - Pietro Bernardelle; Leon Fröhling; Stefano Civelli; Riccardo Lunardi; Kevin Roitero; Gianluca Demartini (WWW (Companion Volume), 2025)

SNOMED CT entity linking challenge. - Rory Davidson; Will Hardman; Guy Amit; Yonatan Bilu; Vincenzo Della Mea; Aleksandr Galaida; Irena Girshovitz; Mikhail Kulyabin; Mihai Horia Popescu; Kevin Roitero; Gleb Sokolov; Chen Yanover (J. Am. Medical Informatics Assoc., 2025)

Collecting Cost-Effective, High-Quality Truthfulness Assessments with LLM Summarized Evidence. - Kevin Roitero; Dustin Wright 001; Michael Soprano; Isabelle Augenstein; Stefano Mizzaro (CoRR, 2025)

Mapping and Influencing the Political Ideology of Large Language Models using Synthetic Personas. - Pietro Bernardelle; Leon Fröhling; Stefano Civelli; Riccardo Lunardi; Kevin Roitero; Gianluca Demartini (Zenodo, 2025)

Geospatial Mechanistic Interpretability of Large Language Models. - Stefano De Sabbata; Stefano Mizzaro; Kevin Roitero (CoRR, 2025)

Large Language Models for Combinatorial Optimization: A Systematic Review. - Francesca Da Ros; Michael Soprano; Luca Di Gaspero; Kevin Roitero (CoRR, 2025)