Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos. - Danilo Dessì; Gianni Fenu; Mirko Marras; Diego Reforgiato Recupero (ESWC (Satellite Events), 2017)

Leveraging Continuous Multi-modal Authentication for Access Control in Mobile Cloud Environments. - Gianni Fenu; Mirko Marras (ICIAP Workshops, 2017)

Iris Quality Assessment: A Statistical Approach for Biometric Security Applications. - Andrea F. Abate; Silvio Barra; Andrea Casanova; Gianni Fenu; Mirko Marras (CSS, 2018)

Continuous Authentication on Smartphone by Means of Periocular and Virtual Keystroke. - Silvio Barra; Mirko Marras; Gianni Fenu (NSS, 2018)

COCO: Semantic-Enriched Collection of Online Courses at Scale with Experimental Use Cases. - Danilo Dessì; Gianni Fenu; Mirko Marras; Diego Reforgiato Recupero (WorldCIST (2), 2018)

BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration. - Mirko Marras; Matteo Manca; Ludovico Boratto; Gianni Fenu; David Laniado (WWW (Companion Volume), 2018)

Controlling User Access to Cloud-Connected Mobile Applications by Means of Biometrics. - Gianni Fenu; Mirko Marras (IEEE Cloud Comput., 2018)

A multi-biometric system for continuous student authentication in e-learning platforms. - Gianni Fenu; Mirko Marras; Ludovico Boratto (Pattern Recognit. Lett., 2018)

The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses. - Ludovico Boratto; Gianni Fenu; Mirko Marras (ECIR (1), 2019)

AveRobot: An Audio-visual Dataset for People Re-identification and Verification in Human-Robot Interaction. - Mirko Marras; Pedro A. Marín-Reyes; Javier Lorenzo-Navarro; Modesto Castrillón Santana; Gianni Fenu (ICPRAM, 2019)

Deep Multi-biometric Fusion for Audio-Visual User Re-Identification and Verification. - Mirko Marras; Pedro A. Marín-Reyes; Javier Lorenzo-Navarro; Modesto Castrillón Santana; Gianni Fenu (ICPRAM (Revised Selected Papers), 2019)

Adversarial Optimization for Dictionary Attacks on Speaker Verification. - Mirko Marras; Pawel Korus; Nasir D. Memon; Gianni Fenu (INTERSPEECH, 2019)

Evaluating neural word embeddings created from online course reviews for sentiment analysis. - Danilo Dessì; Mauro Dragoni; Gianni Fenu; Mirko Marras; Diego Reforgiato Recupero (SAC, 2019)

Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections. - Danilo Dessì; Gianni Fenu; Mirko Marras; Diego Reforgiato Recupero (Comput. Hum. Behav., 2019)

A Framework for Biometric Recognition in Online Content Delivery Platforms. - Mirko Marras; Gianni Fenu (AVI, 2020)

Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments. - Gianni Fenu; Roberta Galici; Mirko Marras (CIKM (Workshops), 2020)

International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). - Ludovico Boratto; Mirko Marras; Stefano Faralli 001; Giovanni Stilo (ECIR (2), 2020)

Improving Fairness in Speaker Recognition. - Gianni Fenu; Giacomo Medda; Mirko Marras; Giacomo Meloni (ESSE, 2020)

Exploring Algorithmic Fairness in Deep Speaker Verification. - Gianni Fenu; Hicham Lafhouli; Mirko Marras (ICCSA (4), 2020)

Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews. - Sergio Consoli; Danilo Dessì; Gianni Fenu; Mirko Marras (SmartPhil@IUI, 2020)

Hands on Data and Algorithmic Bias in Recommender Systems. - Ludovico Boratto; Mirko Marras (UMAP, 2020)

Equality of Learning Opportunity in Personalized Recommendations. - Mirko Marras; Ludovico Boratto; Guilherme Ramos; Gianni Fenu (CoRR, 2020)

Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (SIGIR Forum, 2020)

ECIR 2020 workshops: assessing the impact of going online. - Sérgio Nunes 001; Suzanne Little; Sumit Bhatia; Ludovico Boratto; Guillaume Cabanac; Ricardo Campos 001; Francisco M. Couto; Stefano Faralli 001; Ingo Frommholz; Adam Jatowt; Alípio Jorge; Mirko Marras; et al. (SIGIR Forum, 2020)

Reputation Equity in Ranking Systems. - Guilherme Ramos; Ludovico Boratto; Mirko Marras (CIKM, 2021)

Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (ECIR (2), 2021)

Early Prediction of Conceptual Understanding in Interactive Simulations. - Jade Cock; Mirko Marras; Christian Giang; Tanja Käser (EDM, 2021)

Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses. - Mirko Marras; Julien Tuan Tu Vignoud; Tanja Käser (EDM, 2021)

Demographic Fairness in Multimodal Biometrics: A Comparative Analysis on Audio-Visual Speaker Recognition Systems. - Gianni Fenu; Mirko Marras (EUSPN/ICTH, 2021)

Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development. - Ludovico Boratto; Mirko Marras (ICDE, 2021)

Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity. - Ludovico Boratto; Gianni Fenu; Mirko Marras (IIR, 2021)

Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition. - Gianni Fenu; Mirko Marras; Giacomo Medda; Giacomo Meloni (Interspeech, 2021)

The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems. - Elizabeth Gómez; Carlos Shui Zhang; Ludovico Boratto; Maria Salamó; Mirko Marras (SIGIR, 2021)

Advances in Bias-aware Recommendation on the Web. - Ludovico Boratto; Mirko Marras (WSDM, 2021)

L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web. - Danilo Dessì; Tanja Käser; Mirko Marras; Elvira Popescu; Harald Sack (WSDM, 2021)

Designing Intelligent Systems for Online Education: Open Challenges and Future Directions. - Danilo Dessì; Tanja Käser; Mirko Marras; Elvira Popescu; Harald Sack (L2D@WSDM, 2021)

Connecting user and item perspectives in popularity debiasing for collaborative recommendation. - Ludovico Boratto; Gianni Fenu; Mirko Marras (Inf. Process. Manag., 2021)

Interplay between upsampling and regularization for provider fairness in recommender systems. - Ludovico Boratto; Gianni Fenu; Mirko Marras (User Model. User Adapt. Interact., 2021)

Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education. - Gianni Fenu; Roberta Galici; Mirko Marras (AIED (1), 2022)

Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms. - Paola Mejia-Domenzain; Mirko Marras; Christian Giang; Tanja Käser (AIED (1), 2022)

Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. - Ludovico Boratto; Gianni Fenu; Mirko Marras; Giacomo Medda (ECIR (1), 2022)

Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (ECIR (2), 2022)

Generalisable Methods for Early Prediction in Interactive Simulations for Education. - Jade Maï Cock; Mirko Marras; Christian Giang; Tanja Käser (EDM, 2022)

FATED 2022: Fairness, Accountability, and Transparency in Educational Data. - Collin F. Lynch; Mirko Marras; Mykola Pechenizkiy; Anna N. Rafferty; Steven Ritter 001; Vinitra Swamy; Renzhe Yu (EDM, 2022)

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. - Vinitra Swamy; Bahar Radmehr; Natasa Krco; Mirko Marras; Tanja Käser (EDM, 2022)

The More Secure, The Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds. - Andrea Atzori; Gianni Fenu; Mirko Marras (EUSPN/ICTH, 2022)

Supporting Instructors with Course Attendance and Quality Prediction in Synchronous Learning. - Gianni Fenu; Roberta Galici; Mirko Marras; Simone Picciau (HELMeTO, 2022)

Explaining Bias in Deep Face Recognition via Image Characteristics. - Andrea Atzori; Gianni Fenu; Mirko Marras (IJCB, 2022)

Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (IIR, 2022)

Meta Transfer Learning for Early Success Prediction in MOOCs. - Vinitra Swamy; Mirko Marras; Tanja Käser (L@S, 2022)

Hands on Explainable Recommender Systems with Knowledge Graphs. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (RecSys, 2022)

Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (SIGIR, 2022)

Regulating Group Exposure for Item Providers in Recommendation. - Mirko Marras; Ludovico Boratto; Guilherme Ramos; Gianni Fenu (SIGIR, 2022)

Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations. - Mirko Marras; Ludovico Boratto; Guilherme Ramos; Gianni Fenu (Int. J. Artif. Intell. Educ., 2022)

Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education. - Geoffray Bonnin; Danilo Dessì; Gianni Fenu; Martin Hlosta; Mirko Marras; Harald Sack (Future Gener. Comput. Syst., 2022)

Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation. - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (Inf. Process. Manag., 2022)

Robust reputation independence in ranking systems for multiple sensitive attributes. - Guilherme Ramos; Ludovico Boratto; Mirko Marras (Mach. Learn., 2022)

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals. - Paola Mejia-Domenzain; Mirko Marras; Christian Giang; Alberto A. P. Cattaneo; Tanja Käser (IEEE Trans. Learn. Technol., 2022)

XRecSys: A framework for path reasoning quality in explainable recommendation. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (Softw. Impacts, 2022)

Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. - Mohammad Asadi; Vinitra Swamy; Jibril Frej; Julien Tuan Tu Vignoud; Mirko Marras; Tanja Käser (AAAI, 2023)

Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study. - Silvio Barra; Mirko Marras; Sondos Mohamed; Alessandro Sebastian Podda; Roberto Saia (AI*IA, 2023)

Empowering Digital Transformation in Tourism through Intelligent Methods for Representation and Exploitation of Cultural Heritage Knowledge (full paper). - Salvatore Carta; Gianni Fenu; Alessandro Giuliani; Marco Manolo Manca; Mirko Marras; Leonardo Piano; Alessandro Sebastian Podda; Livio Pompianu; Sandro Gabriele Tiddia (IAI4CH@AI*IA, 2023)

User Perspectives in Fair Recommender Systems: A Paradigm Shift. - Mirko Marras (HCAI4U@CHItaly, 2023)

Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (CIKM, 2023)

Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. - Giacomo Balloccu; Ludovico Boratto; Christian Cancedda; Gianni Fenu; Mirko Marras (ECIR (3), 2023)

Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). - Ludovico Boratto; Stefano Faralli 001; Mirko Marras; Giovanni Stilo (ECIR (3), 2023)

(Un)fair Exposure in Deep Face Rankings at a Distance. - Andrea Atzori; Gianni Fenu; Mirko Marras (IJCB, 2023)

Towards Explainable Educational Recommendation through Path Reasoning Methods. - Neda Afreen; Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (IIR, 2023)

Fairness of Exposure in Forensic Face Rankings. - Andrea Atzori; Gianni Fenu; Mirko Marras (IIR, 2023)

Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods. - Giacomo Balloccu; Ludovico Boratto; Christian Cancedda; Gianni Fenu; Mirko Marras (IIR, 2023)

Consumer Fairness Benchmark in Recommendation. - Ludovico Boratto; Gianni Fenu; Mirko Marras; Giacomo Medda (IIR, 2023)

Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. - Jade Maï Cock; Muhammad Bilal; Richard Davis; Mirko Marras; Tanja Käser (LAK, 2023)

Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. - Roberta Galici; Tanja Käser; Gianni Fenu; Mirko Marras (LAK, 2023)

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. - Vinitra Swamy; Sijia Du; Mirko Marras; Tanja Käser (LAK, 2023)

How Close are Predictive Models to Teachers in Detecting Learners at Risk? - Roberta Galici; Tanja Käser; Gianni Fenu; Mirko Marras (UMAP, 2023)

Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph. - Giacomo Balloccu; Ludovico Boratto; Christian Cancedda; Gianni Fenu; Mirko Marras (CoRR, 2023)

Practical perspectives of consumer fairness in recommendation. - Ludovico Boratto; Gianni Fenu; Mirko Marras; Giacomo Medda (Inf. Process. Manag., 2023)

Reinforcement recommendation reasoning through knowledge graphs for explanation path quality. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras (Knowl. Based Syst., 2023)

Dictionary Attacks on Speaker Verification. - Mirko Marras; Pawel Korus; Anubhav Jain 002; Nasir D. Memon (IEEE Trans. Inf. Forensics Secur., 2023)

Causal reasoning for algorithmic fairness in voice controlled cyber-physical systems. - Gianni Fenu; Mirko Marras; Giacomo Medda; Giacomo Meloni (Pattern Recognit. Lett., 2023)

Demographic Bias in Low-Resolution Deep Face Recognition in the Wild. - Andrea Atzori; Gianni Fenu; Mirko Marras (IEEE J. Sel. Top. Signal Process., 2023)

EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration. - Neda Afreen; Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Francesca Maridina Malloci; Mirko Marras; Andrea Giovanni Martis (CIKM, 2024)

Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data. - Ivan DeAndres-Tame; Ruben Tolosana; Pietro Melzi; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Zhizhou Zhong; Yuge Huang; et al. (CVPR Workshops, 2024)

The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition. - Andrea Atzori; Pietro Cosseddu; Gianni Fenu; Mirko Marras (ECCV Workshops (20), 2024)

Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection. - Sondos Mohamed; Walter Zimmer; Ross Greer; Ahmed Alaaeldin Ghita; Modesto Castrillón Santana; Mohan M. Trivedi; Alois Knoll; Salvatore M. Carta; Mirko Marras (ECCV Workshops (8), 2024)

Explainable Recommender Systems with Knowledge Graphs and Language Models. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Francesca Maridina Malloci; Mirko Marras (ECIR (5), 2024)

A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation. - Ludovico Boratto; Giulia Cerniglia; Mirko Marras; Alessandra Perniciano; Barbara Pes (ECIR (3), 2024)

Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (ECIR (3), 2024)

First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024). - Ludovico Boratto; Daniele Malitesta; Mirko Marras; Giacomo Medda; Cataldo Musto; Erasmo Purificato (ECIR (5), 2024)

If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces. - Andrea Atzori; Fadi Boutros; Naser Damer; Gianni Fenu; Mirko Marras (FG, 2024)

Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (IIR, 2024)

Teachers Interacting with Generative Artificial Intelligence: A Dual Responsibility. - Carmine Gravino; Alessandro Iannella; Mirko Marras; Silvio Marcello Pagliara; Fabio Palomba (Ital-IA, 2024)

Data-Efficient Student Profiling in Online Courses. - Gianni Fenu; Roberta Galici; Mirko Marras (WAILS, 2024)

KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation. - Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Mirko Marras; Alessandro Soccol (RecSys, 2024)

Fair Augmentation for Graph Collaborative Filtering. - Ludovico Boratto; Francesco Fabbri; Gianni Fenu; Mirko Marras; Giacomo Medda (RecSys, 2024)

Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios. - Silvio Barra; Mirko Marras; Sondos Mohamed; Alessandro Sebastian Podda; Roberto Saia (SAC, 2024)

International Workshop on Algorithmic Bias in Search and Recommendation (BIAS). - Alejandro Bellogín; Ludovico Boratto; Styliani Kleanthous; Elisabeth Lex; Francesca Maridina Malloci; Mirko Marras (SIGIR, 2024)

Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches. - Guilherme Ramos; Mirko Marras; Ludovico Boratto (SIGIR, 2024)

Learner-centered Ontology for Explainable Educational Recommendation. - Neda Afreen; Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Francesca Maridina Malloci; Mirko Marras; Andrea Giovanni Martis (UMAP (Adjunct Publication), 2024)

RoadSense3D: A Framework for Roadside Monocular 3D Object Detection. - Salvatore Carta; Modesto Castrillón Santana; Mirko Marras; Sondos Mohamed; Alessandro Sebastian Podda; Roberto Saia; Marco Sau; Walter Zimmer (UMAP (Adjunct Publication), 2024)

Exploring Student Interactions with AI in Programming Training. - Gianni Fenu; Roberta Galici; Mirko Marras; Diego Reforgiato Recupero (UMAP (Adjunct Publication), 2024)

FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. - Pietro Melzi; Ruben Tolosana; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Ivan DeAndres-Tame; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Weisong Zhao; Xiangyu Zhu 001; et al. (WACV (Workshops), 2024)

How Fair is Your Diffusion Recommender Model? - Daniele Malitesta; Giacomo Medda; Erasmo Purificato; Ludovico Boratto; Fragkiskos D. Malliaros; Mirko Marras; Ernesto William De Luca (CoRR, 2024)

LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models. - Salvatore M. Carta; Stefano Chessa; Giulia Contu; Andrea Corriga; Andrea Deidda; Gianni Fenu; Luca Frigau; Alessandro Giuliani; Luca Grassi; Marco Manolo Manca; Mirko Marras; Francesco Mola; et al. (CoRR, 2024)

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. - Pietro Melzi; Ruben Tolosana; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Ivan DeAndres-Tame; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Weisong Zhao; Xiangyu Zhu 001; et al. (Inf. Fusion, 2024)

Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024. - Ludovico Boratto; Daniele Malitesta; Mirko Marras; Giacomo Medda; Cataldo Musto; Erasmo Purificato (SIGIR Forum, 2024)

Report on the 5th International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2024) at SIGIR 2024. - Alejandro Bellogín; Ludovico Boratto; Styliani Kleanthous; Elisabeth Lex; Francesca Maridina Malloci; Mirko Marras (SIGIR Forum, 2024)

Toward Realistic AI-Generated Student Questions to Support Instructor Training. - Francesco Cardia; Viviana Pentangelo; Stefano Lambiase; Carmine Gravino; Fabio Palomba; Mirko Marras (EC-TE (1), 2025)

International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025). - Alejandro Bellogín; Ludovico Boratto; Styliani Kleanthous; Elisabeth Lex; Francesca Maridina Malloci; Mirko Marras (SIGIR, 2025)

Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism. - Ludovico Boratto; Federica Cena; Mirko Marras; Noemi Mauro; Giacomo Medda (SIGIR, 2025)

Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations. - Guilherme Ramos; Ludovico Boratto; Mirko Marras (SIGIR, 2025)

Can Path-Based Explainable Recommendation Methods based on Knowledge Graphs Generalize for Personalized Education? - Neda Afreen; Giacomo Balloccu; Ludovico Boratto; Gianni Fenu; Francesca Maridina Malloci; Mirko Marras; Andrea Giovanni Martis (UMAP, 2025)

Second FRCSyn-onGoing: Winning solutions and post-challenge analysis to improve face recognition with synthetic data. - Ivan DeAndres-Tame; Ruben Tolosana; Pietro Melzi; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Luis Felipe Gomez-Gomez; Aythami Morales; Julian Fierrez; Javier Ortega-Garcia; Zhizhou Zhong; et al. (Inf. Fusion, 2025)

Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation. - Guilherme Ramos; Ludovico Boratto; Mirko Marras (IEEE Trans. Big Data, 2025)

GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. - Giacomo Medda; Francesco Fabbri; Mirko Marras; Ludovico Boratto; Gianni Fenu (ACM Trans. Intell. Syst. Technol., 2025)

A Structured Unplugged Approach for Foundational AI Literacy in Primary Education. - Maria Cristina Carrisi; Mirko Marras; Sara Vergallo (CoRR, 2025)