Leveraging LLMs for Energy Forecasting: The AcegasApsAmga Case Study - Kevin Roitero; Andrea Zancola; Vincenzo Della Mea; Stefano Mizzaro (Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part V, 2025)

A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking - Francesco Bombassei De Bona; David La Barbera; Stefano Mizzaro; Kevin Roitero (Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III, 2025)

Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features? - Francesca Da Ros; Luca Di Gaspero; Kevin Roitero (Applications of Evolutionary Computation - 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part II, 2025)

Benchmarking Feature Extractors for Prostate Cancer Detection Using Graph Attention Networks: A Focus on Foundation Models - Hafsa Akebli; Vincenzo Della Mea; Kevin Roitero (13th IEEE International Conference on Healthcare Informatics, ICHI 2025, Rende, Italy, June 18-21, 2025, 2025)

The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness Assessment - Michael Soprano; Denis Eduard Tapu; David La Barbera; Kevin Roitero; Stefano Mizzaro (Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025, 2025)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking - Kevin Roitero; Dustin Wright; Michael Soprano; Isabelle Augenstein; Stefano Mizzaro (Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025, 2025)

PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare - Riccardo Lunardi; Michael Soprano; Paolo Coppola; Vincenzo Della Mea; Stefano Mizzaro; Kevin Roitero (Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025, 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 (Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025, 2025)

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

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

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)

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)

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)

Report on the 14th Italian Information Retrieval Workshop (IIR 2024) - Eddy Maddalena; Stefano Mizzaro; Kevin Roitero; Marco Viviani; 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)

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)

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)

The Elusiveness of Detecting Political Bias in Language Models - Riccardo Lunardi; David La Barbera; Kevin Roitero (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 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 (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models - Kevin Roitero; Michael Soprano; David La Barbera; Eddy Maddalena; Stefano Mizzaro (Proceedings of the 14th Italian Information Retrieval Workshop, Udine, Italy, September 5-6, 2024, 2024)

Crowdsourcing Statement Classification to Enhance Information Quality Prediction - Jaspreet Singh; Michael Soprano; Kevin Roitero; Davide Ceolin (Disinformation in Open Online Media - 6th Multidisciplinary International Symposium, MISDOOM 2024, Münster, Germany, September 2-4, 2024, Proceedings, 2024)

Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection - Xia Zeng; David La Barbera; Kevin Roitero; Arkaitz Zubiaga; Stefano Mizzaro (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Proceedings of the 14th Italian Information Retrieval Workshop, Udine, Italy, September 5-6, 2024 - Kevin Roitero; Marco Viviani; Eddy Maddalena; Stefano Mizzaro (CEUR-WS.org, 2024)

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 (CoRR, 2024)

Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform - Kevin Roitero; Beatrice Portelli; Giuseppe Serra; 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)

A Neural Model to Jointly Predict and Explain Truthfulness of Statements - Erik Brand; Kevin Roitero; Michael Soprano; Afshin Rahimi; 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)

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; Stefano Mizzaro; Gianluca Demartini (Pers. Ubiquitous Comput., 2023)

Vision Transformers for Breast Cancer Histology Image Classification - Giulia Lucrezia Baroni; Laura Rasotto; Kevin Roitero; Ameer Hamza Siraj; Vincenzo Della Mea (Image Analysis and Processing - ICIAP 2023 Workshops - Udine, Italy, September 11-15, 2023, Proceedings, Part II, 2023)

Predicting Crowd Workers Performance: An Information Quality Case - Davide Ceolin; Kevin Roitero; Furong Guo (Web Engineering - 23rd International Conference, ICWE 2023, Alicante, Spain, June 6-9, 2023, Proceedings, 2023)

Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned - David La Barbera; Michael Soprano; Kevin Roitero; Eddy Maddalena; Stefano Mizzaro (Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), Pisa, Italy, June 8-9, 2023, 2023)

Towards a Conversational-Based Agent for Health Services - Michael Soprano; Kevin Roitero; Vincenzo Della Mea; Stefano Mizzaro (Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023), Pisa, Italy, May 29-30, 2023, 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 (Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22 - 25 May 2023, 2023)

Data Bias Management - Gianluca Demartini; Kevin Roitero; Stefano Mizzaro (CoRR, 2023)

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)

A Hybrid Human-In-The-Loop Framework for Fact Checking - David La Barbera; Kevin Roitero; Stefano Mizzaro (Proceedings of the Sixth Workshop on Natural Language for Artificial Intelligence (NL4AI 2022) co-located with 21th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022), Udine, November 30th, 2022, 2022)

Explainable Classification of Medical Documents Through a Text-to-Text Transformer - Mihai Horia Popescu; Kevin Roitero; Vincenzo Della Mea (1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022) co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), Udine, Italy, November 30 2022, 2022)

Causal Text-to-Text Transformers for Water Pollution Forecasting - Kevin Roitero; Cristina Gattazzo; Andrea Zancola; Vincenzo Della Mea; Stefano Mizzaro (Proceedings of the 2nd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2022) co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022), Online, originally held in Milan, Italy, December 2nd, 2022, 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 (Metaheuristics - 14th International Conference, MIC 2022, Syracuse, Italy, July 11-14, 2022, Proceedings, 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 (Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022, 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 '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022, 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 '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022, 2022)

Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments - Kevin Roitero; Alessandro Checco; Stefano Mizzaro; Gianluca Demartini (WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, 2022)

DiLBERT: Cheap Embeddings for Disease Related Medical NLP - Kevin Roitero; Beatrice Portelli; Mihai Horia Popescu; Vincenzo Della Mea (IEEE Access, 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; Kevin Roitero; Ujwal Gadiraju; Cristina Sarasua; Alessandro Checco; Eddy Maddalena; Gianluca Demartini (IEEE Trans. Knowl. Data Eng., 2021)

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 (IEEE International Conference on Digital Health, ICDH 2021, Chicago, IL, USA, September 5-10, 2021, 2021)

Automatic Assignment of ICD-10 Codes to Diagnostic Texts using Transformers Based Techniques - Mihai Horia Popescu; Kevin Roitero; Stefano Travasci; Vincenzo Della Mea (9th IEEE International Conference on Healthcare Informatics, ICHI 2021, Victoria, BC, Canada, August 9-12, 2021, 2021)

E-BART: Jointly Predicting and Explaining Truthfulness - Erik Brand; Kevin Roitero; Michael Soprano; Gianluca Demartini (Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), Virtual, October 7-8, 2021, 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 (Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), Virtual, October 7-8, 2021, 2021)

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; Stefano Mizzaro; Gianluca Demartini (CoRR, 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 (CoRR, 2021)

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

Effectiveness evaluation without human relevance judgments: A systematic analysis of existing methods and of their combinations - Kevin Roitero; Andrea Brunello; Giuseppe Serra; 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)

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? - Kevin Roitero; Michael Soprano; Beatrice Portelli; Damiano Spina; Vincenzo Della Mea; Giuseppe Serra; Stefano Mizzaro; Gianluca Demartini (CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020)

Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias - David La Barbera; Kevin Roitero; Gianluca Demartini; Stefano Mizzaro; Damiano Spina (Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II, 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 (Proceedings of the Workshop on Semantic Indexing and Information Retrieval for Health from heterogeneous content types and languages co-located with 42nd European Conference on Information Retrieval, SIIRH@ECIR 2020, Lisbon, Portugal, April 14, 2020, 2020)

Underlying Cause of Death Identification from Death Certificates via Categorical Embeddings and Convolutional Neural Networks - Vincenzo Della Mea; Mihai Horia Popescu; Kevin Roitero (8th IEEE International Conference on Healthcare Informatics, ICHI 2020, Oldenburg, Germany, November 30 - December 3, 2020, 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 (Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020, 2020)

Crowd Worker Strategies in Relevance Judgment Tasks - Lei Han; Eddy Maddalena; Alessandro Checco; Cristina Sarasua; Ujwal Gadiraju; Kevin Roitero; Gianluca Demartini (WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020, 2020)

Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems - Kevin Roitero; Ben Carterette; Rishabh Mehrotra; Mounia Lalmas (Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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 (CoRR, 2020)

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

Cheap IR Evaluation: Fewer Topics, No Relevance Judgements, and Crowdsourced Assessments - Kevin Roitero (CoRR, 2020)

On Transforming Relevance Scales - Lei Han; Kevin Roitero; Eddy Maddalena; Stefano Mizzaro; Gianluca Demartini (Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019, 2019)

Towards Stochastic Simulations of Relevance Profiles - Kevin Roitero; Andrea Brunello; Julián Urbano; Stefano Mizzaro (Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019, 2019)

Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models - Kevin Roitero; Stefano Mizzaro; Michael Soprano (Proceedings of the 10th Italian Information Retrieval Workshop, Padova, Italy, September 16-18, 2019, 2019)

HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis - Michael Soprano; Kevin Roitero; Stefano Mizzaro (Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, July 25, 2019, 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 (Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019, 2019)

All Those Wasted Hours: On Task Abandonment in Crowdsourcing - Lei Han; Kevin Roitero; Ujwal Gadiraju; Cristina Sarasua; Alessandro Checco; Eddy Maddalena; Gianluca Demartini (Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019, 2019)

Reproduce. Generalize. Extend. On Information Retrieval Evaluation without Relevance Judgments - Kevin Roitero; Marco Passon; Giuseppe Serra; 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)

How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing - Kevin Roitero; Gianluca Demartini; Stefano Mizzaro; Damiano Spina (Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, October 22, 2018, 2018)

On Fine-Grained Relevance Scales - Kevin Roitero; Eddy Maddalena; Gianluca Demartini; Stefano Mizzaro (The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018, 2018)

IRevalOO: An Object Oriented Framework for Retrieval Evaluation - Kevin Roitero; Eddy Maddalena; Yannick Ponte; Stefano Mizzaro (The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018, 2018)

Effectiveness Evaluation with a Subset of Topics: A Practical Approach - Kevin Roitero; Michael Soprano; Stefano Mizzaro (The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018, 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 (The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018, 2018)

CHEERS: CHeap & Engineered Evaluation of Retrieval Systems - Kevin Roitero (The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018, 2018)

Do Easy Topics Predict Effectiveness Better Than Difficult Topics? - Kevin Roitero; Eddy Maddalena; Stefano Mizzaro (Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings, 2017)

Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing - Alessandro Checco; Kevin Roitero; Eddy Maddalena; Stefano Mizzaro; Gianluca Demartini (Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017, 23-26 October 2017, Québec City, Québec, Canada, 2017)

Considering Assessor Agreement in IR Evaluation - Eddy Maddalena; Kevin Roitero; Gianluca Demartini; Stefano Mizzaro (Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017, 2017)

Economic Evaluation of Recommender Systems: A Proposal - Kevin Roitero; Stefano Mizzaro; Giuseppe Serra (Proceedings of the 8th Italian Information Retrieval Workshop, Lugano, Switzerland, June 05-07, 2017, 2017)

Improving the Efficiency of Retrieval Effectiveness Evaluation: Finding a Few Good Topics with Clustering? - Kevin Roitero; Stefano Mizzaro (Proceedings of the 7th Italian Information Retrieval Workshop, Venezia, Italy, May 30-31, 2016, 2016)