Kevin Roitero

Orcid: 0000-0002-9191-3280

According to our database1, Kevin Roitero authored at least 66 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Bibliography

2024
Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region.
J. Heal. Informatics Res., June, 2024

Optimizing Vision Transformers for Histopathology: Pretraining and Normalization in Breast Cancer Classification.
J. Imaging, May, 2024

Cognitive Biases in Fact-Checking and Their Countermeasures: A Review.
Inf. Process. Manag., March, 2024

How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments.
ACM Trans. Inf. Syst., January, 2024

Data Bias Management.
Commun. ACM, January, 2024

Crowdsourced Fact-checking: Does It Actually Work?
Inf. Process. Manag., 2024

Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Crowdsourcing Statement Classification to Enhance Information Quality Prediction.
Proceedings of the Disinformation in Open Online Media, 2024

2023
Combining Human and Machine Confidence in Truthfulness Assessment.
ACM J. Data Inf. Qual., March, 2023

A Neural Model to Jointly Predict and Explain Truthfulness of Statements.
ACM J. Data Inf. Qual., March, 2023

Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19.
Pers. Ubiquitous Comput., 2023

Combining human intelligence and machine learning for fact-checking: Towards a hybrid human-in-the-loop framework.
Intelligenza Artificiale, 2023

Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform.
IEEE Access, 2023

Automated ICF Coding of Rehabilitation Notes for Low-Resource Languages via Continual Training of Language Models.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Towards a Conversational-Based Agent for Health Services.
Proceedings of the Italia Intelligenza Artificiale, 2023

Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned.
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

Predicting Crowd Workers Performance: An Information Quality Case.
Proceedings of the Web Engineering - 23rd International Conference, 2023

Vision Transformers for Breast Cancer Histology Image Classification.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

2022
Task design in complex crowdsourcing experiments: Item assignment optimization.
Comput. Oper. Res., 2022

Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

The Effects of Crowd Worker Biases in Fact-Checking Tasks.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

BUM at CheckThat!-2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

A Multi-objective Biased Random-Key Genetic Algorithm for the Siting of Emergency Vehicles.
Proceedings of the Metaheuristics - 14th International Conference, 2022

Causal Text-to-Text Transformers for Water Pollution Forecasting.
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), 2022

Explainable Classification of Medical Documents Through a Text-to-Text Transformer.
Proceedings of the 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), 2022

A Hybrid Human-In-The-Loop Framework for Fact Checking.
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), 2022

2021
The Impact of Task Abandonment in Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2021

The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale.
Inf. Process. Manag., 2021

On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation.
Inf. Process. Manag., 2021

Managing Bias in Human-Annotated Data: Moving Beyond Bias Removal.
CoRR, 2021

DiLBERT: Cheap Embeddings for Disease Related Medical NLP.
IEEE Access, 2021

Human-in-the-Loop Systems for Truthfulness: A Study of Human and Machine Confidence.
Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), 2021

E-BART: Jointly Predicting and Explaining Truthfulness.
Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), 2021

Automatic Assignment of ICD-10 Codes to Diagnostic Texts using Transformers Based Techniques.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

A Software Simulator for Optimizing Ambulance Location and Response Time: A Preliminary Report.
Proceedings of the IEEE International Conference on Digital Health, 2021

2020
Cheap IR evaluation: fewer topics, no relevance judgements, and crowdsourced assessments.
SIGIR Forum, 2020

Detection of HER2 from Haematoxylin-Eosin Slides Through a Cascade of Deep Learning Classifiers via Multi-Instance Learning.
J. Imaging, 2020

Fewer topics? A million topics? Both?! On topics subsets in test collections.
Inf. Retr. J., 2020

Effectiveness evaluation without human relevance judgments: A systematic analysis of existing methods and of their combinations.
Inf. Process. Manag., 2020

Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Crowd Worker Strategies in Relevance Judgment Tasks.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Can The Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's Background.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Underlying Cause of Death Identification from Death Certificates via Categorical Embeddings and Convolutional Neural Networks.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Twitter goes to the Doctor: Detecting Medical Tweets using Machine Learning and BERT.
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, 2020

Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias.
Proceedings of the Advances in Information Retrieval, 2020

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
All Those Wasted Hours: On Task Abandonment in Crowdsourcing.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

On Topic Difficulty in IR Evaluation: The Effect of Systems, Corpora, and System Components.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis.
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), 2019

Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models.
Proceedings of the 10th Italian Information Retrieval Workshop, 2019

Towards Stochastic Simulations of Relevance Profiles.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

On Transforming Relevance Scales.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation.
ACM J. Data Inf. Qual., 2018

Reproduce. Generalize. Extend. On Information Retrieval Evaluation without Relevance Judgments.
ACM J. Data Inf. Qual., 2018

Effectiveness Evaluation with a Subset of Topics: A Practical Approach.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

IRevalOO: An Object Oriented Framework for Retrieval Evaluation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

On Fine-Grained Relevance Scales.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

CHEERS: CHeap & Engineered Evaluation of Retrieval Systems.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments: Two Sides of the Same Coin.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

2017
Economic Evaluation of Recommender Systems: A Proposal.
Proceedings of the 8th Italian Information Retrieval Workshop, 2017

Considering Assessor Agreement in IR Evaluation.
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

Do Easy Topics Predict Effectiveness Better Than Difficult Topics?
Proceedings of the Advances in Information Retrieval, 2017

2016
Improving the Efficiency of Retrieval Effectiveness Evaluation: Finding a Few Good Topics with Clustering?
Proceedings of the 7th Italian Information Retrieval Workshop, 2016


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