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Mirko Marras
Research Unit Coordinator
Research Interests: user modeling, responsible ai, deep learning, information retrieval
About Me
Mirko Marras was born on April 19, 1992 in Iglesias (Italy). He is an Assistant Professor (RTDa, non-tenure track) at the Department of Mathematics and Computer Science of the University of Cagliari (Italy). He received his PhD Degree in Computer Science in 2020 and his MSc Degree in Computer Science (summa cum laude, 18 months) in 2016 from University of Cagliari. He received the Computer Science Engineering certification from the University of Pisa (Italy) in 2016.
In 2015, he was involved as Researcher within UnitelCagliari (Italy) for the ELIOS project (MIUR, 1ME). In 2017, he spent five months as Visiting Scholar at EURECAT (Spain), collaborating with the Data Science and Big Data Analytics Unit on the DECODE project (EU, 16P, 5ME). In 2018, he spent three months as Visiting Scholar within the University Institute for Intelligent Systems and Digital Applications in Engineering (SIANI) at the Universidad de Las Palmas de Gran Canaria (Spain). In 2019, he spent two months at the Department of Computer Science and Engineering of the New York University (U.S.A). He has been involved as Researcher in the ILEARNTV project (MIUR, 6P, 10ME) since 2018. From 2019, he is referral of the University of Cagliari (Italy) for two work packages under the EDUC project (EU, 6P, 5ME). Between 2020 and 2021, he spent 12 months as a Postdoctoral Researcher at the Machine Learning for Education Laboratory of EPFL (Switzerland).
Between 2017 and 2020, he has been teaching assistant for the “Computer Networks” course within the Bachelor's Degree in Computer Science at University of Cagliari. In 2021, he has been head teaching assistant for the Master's "Machine Learning for Behavioral Data" course at EPFL (Switzerland). He has been thesis assistant for a wide range of students at University of Cagliari and EPFL and has been co-supervising several PhD Students at EPFL and University of Cagliari, starting from 2020.
In 2014, he was recognized as the best third-year student of the BSc Program in Computer Science of the University of Cagliari (Italy). In 2016, he was recognized as the best MSc student of the Faculty of Science and one of the top 12 MSc students of the same University. In 2018, he got to the podium of the Call for Visionary Ideas - Education Section event organized by Nesta Italia. He has co-authored papers that led to the Best Poster Award at ESWC2017, the Demo Honorable Mention at WWW 2018, the Best Paper Award at DIDAMATICA 2018, and the Best Presentation Award and the Best Student Paper Award at EDM2021. His PhD thesis has been ranked within the Top 10 in Italy by CVPL. He has been awarded two Erasmus+ PlaceDoc scholaships to spend 5 months at EURECAT (Spain) and 3 months at Universidad de Las Palmas de Gran Canaria (Spain). He has been awarded a GlobusDoc scholarship to spend 2 months at New York University (U.S.A).
His research interests focus on Responsible Data Mining and Machine Learning techniques for User Profiling and Personalization, applied to the fields of security, education, media and entertainment, and social good, with a focus on user impact. He has co-authored articles in top-tier international journals, such as Information Processing & Management (Elsevier), Computers in Human Behavior (Elsevier), IEEE Cloud Computing International Journal of Artificial Intelligence in Education (IJAIED) and User-Modelling and User-Adaptive Interaction (UMUAI). His research activity also brought him to publish papers (e.g., TheWebConf 2018, ECIR 2019, INTERSPEECH 2019, SIGIR 2021, CIKM 2021, EDM 2021), and give tutorials (e.g., UMAP 2020, ICDM 2020, ICDE 2021, WSDM 2021, and ECIR 2021) at several top tier international conferences.
He is part of the program committee of main international conferences in education (AIED, EDM, ICALT, ITICSE, LAK), user modelling (CHI, ECIR, ICWSM, KDD, RECSYS, SIGIR, UMAP, WSDM, WWW), and signal processing and machine learning (ECML-PKDD, IJCAI, INTERSPEECH, ICASSP). He has been also acting as a reviewer for top-tier journals, such as Pattern Recognition Letters and IEEE Transactions on Image Processing. He has been co-chairing the BIAS workshop at ECIR 2020-2022, the Responsible PR&MI workshop at ICCV 2021, and the L2D workshop at WSDM 2021. He has served as a guest editor for special issues of Information Processing & Management and Future Generation Computer Systems (Elsevier). He has been involved in several national and European projects related to education (e.g., iLearnTV and EDUC).
He is a member of (inter)national associations, including GRIN, CVPL, AIxIA, IEEE, and ACM.
Publications (98)
| Document title | Author | Years | Source |
|---|---|---|---|
| Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches | Ramos G., Marras M., Boratto L., | 2024 | SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| International Workshop on Algorithmic Bias in Search and Recommendation (BIAS) | Bellogín A., Boratto L., Kleanthous S., Lex E., Malloci F.M., Marras M., | 2024 | SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems | Melzi P., Tolosana R., Vera-Rodriguez R., Kim M., Rathgeb C., Liu X., DeAndres-Tame I., Morales A., Fierrez J., Ortega-Garcia J., Zhao W., Zhu X., Yan Z., Zhang X.Y., Wu J., Lei Z., Tripathi S., Kothari M., Zama M.H., Deb D., Biesseck B., Vidal P., Granada R., Fickel G., Führ G., Menotti D., Unnervik A., George A., Ecabert C., Shahreza H.O., Rahimi P., Marcel S., Sarridis I., Koutlis C., Baltsou G., Papadopoulos S., Diou C., Domenico N.D., Borghi G., Pellegrini L., Mas-Candela E., Sánchez-Pérez Á., Atzori A., Boutros F., Damer N., Fenu G., Marras M., | 2024 | Information Fusion |
| UMAP 2024 Chairs' Welcome | Boratto L., Germanakos P., Gena C., Popescus E., Marras M., | 2024 | UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| RoadSense3D: A Framework for Roadside Monocular 3D Object Detection | Carta S., Castrillón-Santana M., Marras M., Mohamed S., Podda A.S., Saia R., Sau M., Zimmer W., | 2024 | UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| Learner-centered Ontology for Explainable Educational Recommendation | Afreen N., Balloccu G., Boratto L., Fenu G., Malloci F.M., Marras M., Martis A.G., | 2024 | UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| Exploring Student Interactions with AI in Programming Training | Fenu G., Galici R., Marras M., Reforgiato D., | 2024 | UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| UMAP2024Chairs Welcome | Boratto L., Germanakos P., Gena C., Popescus E., Marras M., | 2024 | UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization |
| Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios | Barra S., Marras M., Mohamed S., Podda A.S., Saia R., | 2024 | Proceedings of the ACM Symposium on Applied Computing |
| Data-Efficient Student Profiling in Online Courses | Fenu G., Galici R., Marras M., | 2024 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces | Atzori A., Boutros F., Damer N., Fenu G., Marras M., | 2024 | 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition, FG 2024 |
| A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation | Boratto L., Cerniglia G., Marras M., Perniciano A., Pes B., | 2024 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Explainable Recommender Systems with Knowledge Graphs and Language Models | Balloccu G., Boratto L., Fenu G., Malloci F.M., Marras M., | 2024 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation | Boratto L., Fabbri F., Fenu G., Marras M., Medda G., | 2024 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) | Boratto L., Malitesta D., Marras M., Medda G., Musto C., Purificato E., | 2024 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data | Melzi P., Tolosana R., Vera-Rodriguez R., Kim M., Rathgeb C., Liu X., Deandres-Tame I., Morales A., Fierrez J., Ortega-Garcia J., Zhao W., Zhu X., Yan Z., Zhang X.Y., Wu J., Lei Z., Tripathi S., Kothari M., Zama M.H., Deb D., Biesseck B., Vidal P., Granada R., Fickel G., Fuhr G., Menotti D., Unnervik A., George A., Ecabert C., Shahreza H.O., Rahimi P., Marcel S., Sarridis I., Koutlis C., Baltsou G., Papadopoulos S., Diou C., Di Domenico N., Borghi G., Pellegrini L., Mas-Candela E., Sanchez-Perez A., Atzori A., Fenu G., Boutros F., Marras M., Damer N., | 2024 | Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024 |
| Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems | Boratto L., Fabbri F., Fenu G., Marras M., Medda G., | 2023 | International Conference on Information and Knowledge Management, Proceedings |
| Ripple: Concept-Based Interpretation for Raw Time Series Models in Education | Asadi M., Swamy V., Frej J., Vignoud J., Marras M., Käser T., | 2023 | Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 |
| How Close are Predictive Models to Teachers in Detecting Learners at Risk? | Galici R., Käser T., Fenu G., Marras M., | 2023 | UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization |
| Demographic Bias in Low-Resolution Deep Face Recognition in the Wild | Atzori A., Fenu G., Marras M., | 2023 | IEEE Journal on Selected Topics in Signal Processing |
| Causal reasoning for algorithmic fairness in voice controlled cyber-physical systems | Fenu G., Marras M., Medda G., Meloni G., | 2023 | Pattern Recognition Letters |
| Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design | Swamy V., Du S., Marras M., Kaser T., | 2023 | ACM International Conference Proceeding Series |
| Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling | Cock J.M., Bilal M., Davis R., Marras M., Kaser T., | 2023 | ACM International Conference Proceeding Series |
| Do Not Trust a Model because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning | Galici R., Kaser T., Fenu G., Marras M., | 2023 | ACM International Conference Proceeding Series |
| Practical perspectives of consumer fairness in recommendation | Boratto L., Fenu G., Marras M., Medda G., | 2023 | Information Processing and Management |
| Reinforcement recommendation reasoning through knowledge graphs for explanation path quality | Balloccu G., Boratto L., Fenu G., Marras M., | 2023 | Knowledge-Based Systems |
| (Un)fair Exposure in Deep Face Rankings at a Distance | Atzori A., Fenu G., Marras M., | 2023 | 2023 IEEE International Joint Conference on Biometrics, IJCB 2023 |
| Empowering Digital Transformation in Tourism through Intelligent Methods for Representation and Exploitation of Cultural Heritage Knowledge | Carta S., Fenu G., Giuliani A., Manca M.M., Marras M., Piano L., Podda A.S., Pompianu L., Tiddia S.G., | 2023 | CEUR Workshop Proceedings |
| Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study | Barra S., Marras M., Mohamed S., Podda A.S., Saia R., | 2023 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Towards Explainable Educational Recommendation through Path Reasoning Methods | Afreen N., Balloccu G., Boratto L., Fenu G., Marras M., | 2023 | CEUR Workshop Proceedings |
| Fairness of Exposure in Forensic Face Rankings | Atzori A., Fenu G., Marras M., | 2023 | CEUR Workshop Proceedings |
| Consumer Fairness Benchmark in Recommendation | Boratto L., Fenu G., Marras M., Medda G., | 2023 | CEUR Workshop Proceedings |
| Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods | Balloccu G., Boratto L., Cancedda C., Fenu G., Marras M., | 2023 | CEUR Workshop Proceedings |
| Advances in Bias and Fairness in Information Retrieval: Preface | Boratto L., Faralli S., Marras M., Stilo G., | 2023 | Communications in Computer and Information Science |
| Supporting Instructors with Course Attendance and Quality Prediction in Synchronous Learning | Fenu G., Galici R., Marras M., Picciau S., | 2023 | Communications in Computer and Information Science |
| Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023) | Boratto L., Faralli S., Marras M., Stilo G., | 2023 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation | Balloccu G., Boratto L., Cancedda C., Fenu G., Marras M., | 2023 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Dictionary Attacks on Speaker Verification | Marras M., Korus P., Jain A., Memon N., | 2023 | IEEE Transactions on Information Forensics and Security |
| XRecSys: A framework for path reasoning quality in explainable recommendation[Formula presented] | Balloccu G., Boratto L., Fenu G., Marras M., | 2022 | Software Impacts |
| Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals | Mejia-Domenzain P., Marras M., Giang C., Cattaneo A., Kaser T., | 2022 | IEEE Transactions on Learning Technologies |
| Robust reputation independence in ranking systems for multiple sensitive attributes | Ramos G., Boratto L., Marras M., | 2022 | Machine Learning |
| Hands on Explainable Recommender Systems with Knowledge Graphs | Balloccu G., Boratto L., Fenu G., Marras M., | 2022 | RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems |
| Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations | Marras M., Boratto L., Ramos G., Fenu G., | 2022 | International Journal of Artificial Intelligence in Education |
| Regulating Group Exposure for Item Providers in Recommendation | Marras M., Boratto L., Ramos G., Fenu G., | 2022 | SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations | Balloccu G., Boratto L., Fenu G., Marras M., | 2022 | SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Meta Transfer Learning for Early Success Prediction in MOOCs | Swamy V., Marras M., Käser T., | 2022 | L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale |
| Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education | Bonnin G., Dessì D., Fenu G., Hlosta M., Marras M., Sack H., | 2022 | Future Generation Computer Systems |
| Generalisable Methods for Early Prediction in Interactive Simulations for Education | Cock J.M., Marras M., Giang C., Käser T., | 2022 | Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022 |
| Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs | Swamy V., Radmehr B., Krco N., Marras M., Käser T., | 2022 | Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022 |
| Explaining Bias in Deep Face Recognition via Image Characteristics | Atzori A., Fenu G., Marras M., | 2022 | 2022 IEEE International Joint Conference on Biometrics, IJCB 2022 |
| The More Secure, the Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds | Atzori A., Fenu G., Marras M., | 2022 | Procedia Computer Science |
| Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation | Balloccu G., Boratto L., Fenu G., Marras M., | 2022 | CEUR Workshop Proceedings |
| Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms | Mejia-Domenzain P., Marras M., Giang C., Käser T., | 2022 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Experts’ View on Challenges and Needs for Fairness in Artificial Intelligence for Education | Fenu G., Galici R., Marras M., | 2022 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Advances in Bias and Fairness in Information Retrieval: Preface | Boratto L., Faralli S., Marras M., Stilo G., | 2022 | Communications in Computer and Information Science |
| Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022) | Boratto L., Faralli S., Marras M., Stilo G., | 2022 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations | Boratto L., Fenu G., Marras M., Medda G., | 2022 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation | Boratto L., Faralli S., Marras M., Stilo G., | 2022 | Information Processing and Management |
| Reputation Equity in Ranking Systems | Ramos G., Boratto L., Marras M., | 2021 | International Conference on Information and Knowledge Management, Proceedings |
| Advances in Bias-aware Recommendation on the Web | Boratto L., Marras M., | 2021 | WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining |
| L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web | Dessi D., Käser T., Marras M., Popescu E., Sack H., | 2021 | WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining |
| The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems | Gómez E., Shui Zhang C., Boratto L., Salamó M., Marras M., | 2021 | SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Interplay between upsampling and regularization for provider fairness in recommender systems | Boratto L., Fenu G., Marras M., | 2021 | User Modeling and User-Adapted Interaction |
| Countering bias in personalized rankings : fffrom data engineering to algorithm development | Boratto L., Marras M., | 2021 | Proceedings - International Conference on Data Engineering |
| Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses | Marras M., Vignoud J.T.T., Käser T., | 2021 | Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021 |
| Early Prediction of Conceptual Understanding in Interactive Simulations | Cock J., Marras M., Giang C., Käser T., | 2021 | Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021 |
| Demographic Fairness in Multimodal Biometrics: A Comparative Analysis on Audio-Visual Speaker Recognition Systems | Fenu G., Marras M., | 2021 | Procedia Computer Science |
| Fair voice biometrics: Impact of demographic imbalance on group fairness in speaker recognition | Fenu G., Marras M., Medda G., Meloni G., | 2021 | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
| Combining mitigation treatments against biases in personalized rankings: Use case on item popularity | Boratto L., Fenu G., Marras M., | 2021 | CEUR Workshop Proceedings |
| Advances in bias and fairness in information retrieval: Preface | Boratto L., Faralli S., Marras M., Stilo G., | 2021 | Communications in Computer and Information Science |
| Preface | Dessi D., Kaser T., Marras M., Popescu E., Sack H., | 2021 | CEUR Workshop Proceedings |
| Designing intelligent systems for online education: Open challenges and future directions | Dessì D., Käser T., Marras M., Popescu E., Sack H., | 2021 | CEUR Workshop Proceedings |
| Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021) | Boratto L., Faralli S., Marras M., Stilo G., | 2021 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Connecting user and item perspectives in popularity debiasing for collaborative recommendation | Boratto L., Fenu G., Marras M., | 2021 | Information Processing and Management |
| Improving Fairness in Speaker Recognition | Fenu G., Medda G., Marras M., Meloni G., | 2020 | ACM International Conference Proceeding Series |
| A Framework for Biometric Recognition in Online Content Delivery Platforms | Marras M., Fenu G., | 2020 | ACM International Conference Proceeding Series |
| Hands on Data and Algorithmic Bias in Recommender Systems | Boratto L., Marras M., | 2020 | UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization |
| Evaluation framework for context-aware speaker recognition in noisy smart living environments | Fenu G., Galici R., Marras M., | 2020 | CEUR Workshop Proceedings |
| Exploring Algorithmic Fairness in Deep Speaker Verification | Fenu G., Lafhouli H., Marras M., | 2020 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Preface | Boratto L., Faralli S., Marras M., Stilo G., | 2020 | Communications in Computer and Information Science |
| Deep attention-based model for helpfulness prediction of healthcare online reviews | Consoli S., Dessì D., Fenu G., Marras M., | 2020 | CEUR Workshop Proceedings |
| International workshop on algorithmic bias in search and recommendation (bias 2020) | Boratto L., Marras M., Faralli S., Stilo G., | 2020 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Deep Multi-biometric Fusion for Audio-Visual User Re-Identification and Verification | Marras M., Marín-Reyes P.A., Lorenzo-Navarro J., Castrillón-Santana M., Fenu G., | 2020 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| iLearnTV: An ecosystem of knowledge sharing and collaborative production to innovate training | Fenu G., Marras M., Barra S., Giorgini F., Zucchetti D., Chesi F., | 2019 | Mondo Digitale |
| Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections | Dessì D., Fenu G., Marras M., Reforgiato Recupero D., | 2019 | Computers in Human Behavior |
| Adversarial optimization for dictionary attacks on speaker verification | Marras M., Korus P., Memon N., Fenu G., | 2019 | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
| Evaluating neural word embeddings created from online course reviews for sentiment analysis | Dessì D., Dragoni M., Fenu G., Marras M., Recupero D.R., | 2019 | Proceedings of the ACM Symposium on Applied Computing |
| The effect of algorithmic bias on recommender systems for massive open online courses | Boratto L., Fenu G., Marras M., | 2019 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| AveroBot: An audio-visual dataset for people re-identification and verification in human-robot interaction | Marras M., Marín-Reyes P.A., Lorenzo-Navarro J., Castrillón-Santana M., Fenu G., | 2019 | ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods |
| A multi-biometric system for continuous student authentication in e-learning platforms | Fenu G., Marras M., Boratto L., | 2018 | Pattern Recognition Letters |
| Controlling user access to cloud-connected mobile applications by means of biometrics | Fenu G., Marras M., | 2018 | IEEE Cloud Computing |
| BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration | Marras M., Manca M., Boratto L., Fenu G., Laniado D., | 2018 | The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018 |
| Continuous authentication on smartphone by means of periocular and virtual keystroke | Barra S., Marras M., Fenu G., | 2018 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Iris quality assessment: A statistical approach for biometric security applications | Abate A.F., Barra S., Casanova A., Fenu G., Marras M., | 2018 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| COCO: Semantic-enriched collection of online courses at scale with experimental use cases | Dessì D., Fenu G., Marras M., Reforgiato Recupero D., | 2018 | Advances in Intelligent Systems and Computing |
| Leveraging Continuous Multi-modal Authentication for Access Control in Mobile Cloud Environments | Fenu G., Marras M., | 2017 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos | Dessì D., Fenu G., Marras M., Reforgiato Recupero D., | 2017 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| A learning analytics tool for usability assessment in Moodle environments | Fenu G., Marras M., Meles M., | 2017 | Journal of E-Learning and Knowledge Society |
Ramos G., Marras M., Boratto L., Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches (2024), SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Bellogín A., Boratto L., Kleanthous S., Lex E., Malloci F.M., Marras M., International Workshop on Algorithmic Bias in Search and Recommendation (BIAS) (2024), SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Melzi P., Tolosana R., Vera-Rodriguez R., Kim M., Rathgeb C., Liu X., DeAndres-Tame I., Morales A., Fierrez J., Ortega-Garcia J., Zhao W., Zhu X., Yan Z., Zhang X.Y., Wu J., Lei Z., Tripathi S., Kothari M., Zama M.H., Deb D., Biesseck B., Vidal P., Granada R., Fickel G., Führ G., Menotti D., Unnervik A., George A., Ecabert C., Shahreza H.O., Rahimi P., Marcel S., Sarridis I., Koutlis C., Baltsou G., Papadopoulos S., Diou C., Domenico N.D., Borghi G., Pellegrini L., Mas-Candela E., Sánchez-Pérez Á., Atzori A., Boutros F., Damer N., Fenu G., Marras M., FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems (2024), Information Fusion
Boratto L., Germanakos P., Gena C., Popescus E., Marras M., UMAP 2024 Chairs' Welcome (2024), UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Carta S., Castrillón-Santana M., Marras M., Mohamed S., Podda A.S., Saia R., Sau M., Zimmer W., RoadSense3D: A Framework for Roadside Monocular 3D Object Detection (2024), UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Afreen N., Balloccu G., Boratto L., Fenu G., Malloci F.M., Marras M., Martis A.G., Learner-centered Ontology for Explainable Educational Recommendation (2024), UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Fenu G., Galici R., Marras M., Reforgiato D., Exploring Student Interactions with AI in Programming Training (2024), UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Boratto L., Germanakos P., Gena C., Popescus E., Marras M., UMAP2024Chairs Welcome (2024), UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Barra S., Marras M., Mohamed S., Podda A.S., Saia R., Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios (2024), Proceedings of the ACM Symposium on Applied Computing
Fenu G., Galici R., Marras M., Data-Efficient Student Profiling in Online Courses (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Atzori A., Boutros F., Damer N., Fenu G., Marras M., If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces (2024), 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition, FG 2024
Boratto L., Cerniglia G., Marras M., Perniciano A., Pes B., A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Balloccu G., Boratto L., Fenu G., Malloci F.M., Marras M., Explainable Recommender Systems with Knowledge Graphs and Language Models (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Fabbri F., Fenu G., Marras M., Medda G., Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Malitesta D., Marras M., Medda G., Musto C., Purificato E., First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Melzi P., Tolosana R., Vera-Rodriguez R., Kim M., Rathgeb C., Liu X., Deandres-Tame I., Morales A., Fierrez J., Ortega-Garcia J., Zhao W., Zhu X., Yan Z., Zhang X.Y., Wu J., Lei Z., Tripathi S., Kothari M., Zama M.H., Deb D., Biesseck B., Vidal P., Granada R., Fickel G., Fuhr G., Menotti D., Unnervik A., George A., Ecabert C., Shahreza H.O., Rahimi P., Marcel S., Sarridis I., Koutlis C., Baltsou G., Papadopoulos S., Diou C., Di Domenico N., Borghi G., Pellegrini L., Mas-Candela E., Sanchez-Perez A., Atzori A., Fenu G., Boutros F., Marras M., Damer N., FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data (2024), Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024
Boratto L., Fabbri F., Fenu G., Marras M., Medda G., Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems (2023), International Conference on Information and Knowledge Management, Proceedings
Asadi M., Swamy V., Frej J., Vignoud J., Marras M., Käser T., Ripple: Concept-Based Interpretation for Raw Time Series Models in Education (2023), Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
Galici R., Käser T., Fenu G., Marras M., How Close are Predictive Models to Teachers in Detecting Learners at Risk? (2023), UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
Atzori A., Fenu G., Marras M., Demographic Bias in Low-Resolution Deep Face Recognition in the Wild (2023), IEEE Journal on Selected Topics in Signal Processing
Fenu G., Marras M., Medda G., Meloni G., Causal reasoning for algorithmic fairness in voice controlled cyber-physical systems (2023), Pattern Recognition Letters
Swamy V., Du S., Marras M., Kaser T., Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design (2023), ACM International Conference Proceeding Series
Cock J.M., Bilal M., Davis R., Marras M., Kaser T., Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling (2023), ACM International Conference Proceeding Series
Galici R., Kaser T., Fenu G., Marras M., Do Not Trust a Model because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning (2023), ACM International Conference Proceeding Series
Boratto L., Fenu G., Marras M., Medda G., Practical perspectives of consumer fairness in recommendation (2023), Information Processing and Management
Balloccu G., Boratto L., Fenu G., Marras M., Reinforcement recommendation reasoning through knowledge graphs for explanation path quality (2023), Knowledge-Based Systems
Atzori A., Fenu G., Marras M., (Un)fair Exposure in Deep Face Rankings at a Distance (2023), 2023 IEEE International Joint Conference on Biometrics, IJCB 2023
Carta S., Fenu G., Giuliani A., Manca M.M., Marras M., Piano L., Podda A.S., Pompianu L., Tiddia S.G., Empowering Digital Transformation in Tourism through Intelligent Methods for Representation and Exploitation of Cultural Heritage Knowledge (2023), CEUR Workshop Proceedings
Barra S., Marras M., Mohamed S., Podda A.S., Saia R., Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Afreen N., Balloccu G., Boratto L., Fenu G., Marras M., Towards Explainable Educational Recommendation through Path Reasoning Methods (2023), CEUR Workshop Proceedings
Atzori A., Fenu G., Marras M., Fairness of Exposure in Forensic Face Rankings (2023), CEUR Workshop Proceedings
Boratto L., Fenu G., Marras M., Medda G., Consumer Fairness Benchmark in Recommendation (2023), CEUR Workshop Proceedings
Balloccu G., Boratto L., Cancedda C., Fenu G., Marras M., Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods (2023), CEUR Workshop Proceedings
Boratto L., Faralli S., Marras M., Stilo G., Advances in Bias and Fairness in Information Retrieval: Preface (2023), Communications in Computer and Information Science
Fenu G., Galici R., Marras M., Picciau S., Supporting Instructors with Course Attendance and Quality Prediction in Synchronous Learning (2023), Communications in Computer and Information Science
Boratto L., Faralli S., Marras M., Stilo G., Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023) (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Balloccu G., Boratto L., Cancedda C., Fenu G., Marras M., Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Marras M., Korus P., Jain A., Memon N., Dictionary Attacks on Speaker Verification (2023), IEEE Transactions on Information Forensics and Security
Balloccu G., Boratto L., Fenu G., Marras M., XRecSys: A framework for path reasoning quality in explainable recommendation[Formula presented] (2022), Software Impacts
Mejia-Domenzain P., Marras M., Giang C., Cattaneo A., Kaser T., Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals (2022), IEEE Transactions on Learning Technologies
Ramos G., Boratto L., Marras M., Robust reputation independence in ranking systems for multiple sensitive attributes (2022), Machine Learning
Balloccu G., Boratto L., Fenu G., Marras M., Hands on Explainable Recommender Systems with Knowledge Graphs (2022), RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
Marras M., Boratto L., Ramos G., Fenu G., Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations (2022), International Journal of Artificial Intelligence in Education
Marras M., Boratto L., Ramos G., Fenu G., Regulating Group Exposure for Item Providers in Recommendation (2022), SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Balloccu G., Boratto L., Fenu G., Marras M., Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations (2022), SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Swamy V., Marras M., Käser T., Meta Transfer Learning for Early Success Prediction in MOOCs (2022), L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale
Bonnin G., Dessì D., Fenu G., Hlosta M., Marras M., Sack H., Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education (2022), Future Generation Computer Systems
Cock J.M., Marras M., Giang C., Käser T., Generalisable Methods for Early Prediction in Interactive Simulations for Education (2022), Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022
Swamy V., Radmehr B., Krco N., Marras M., Käser T., Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs (2022), Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022
Atzori A., Fenu G., Marras M., Explaining Bias in Deep Face Recognition via Image Characteristics (2022), 2022 IEEE International Joint Conference on Biometrics, IJCB 2022
Atzori A., Fenu G., Marras M., The More Secure, the Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds (2022), Procedia Computer Science
Balloccu G., Boratto L., Fenu G., Marras M., Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation (2022), CEUR Workshop Proceedings
Mejia-Domenzain P., Marras M., Giang C., Käser T., Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Fenu G., Galici R., Marras M., Experts’ View on Challenges and Needs for Fairness in Artificial Intelligence for Education (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Faralli S., Marras M., Stilo G., Advances in Bias and Fairness in Information Retrieval: Preface (2022), Communications in Computer and Information Science
Boratto L., Faralli S., Marras M., Stilo G., Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022) (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Fenu G., Marras M., Medda G., Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Faralli S., Marras M., Stilo G., Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation (2022), Information Processing and Management
Ramos G., Boratto L., Marras M., Reputation Equity in Ranking Systems (2021), International Conference on Information and Knowledge Management, Proceedings
Boratto L., Marras M., Advances in Bias-aware Recommendation on the Web (2021), WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining
Dessi D., Käser T., Marras M., Popescu E., Sack H., L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web (2021), WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining
Gómez E., Shui Zhang C., Boratto L., Salamó M., Marras M., The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems (2021), SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
Boratto L., Fenu G., Marras M., Interplay between upsampling and regularization for provider fairness in recommender systems (2021), User Modeling and User-Adapted Interaction
Boratto L., Marras M., Countering bias in personalized rankings : fffrom data engineering to algorithm development (2021), Proceedings - International Conference on Data Engineering
Marras M., Vignoud J.T.T., Käser T., Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses (2021), Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021
Cock J., Marras M., Giang C., Käser T., Early Prediction of Conceptual Understanding in Interactive Simulations (2021), Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021
Fenu G., Marras M., Demographic Fairness in Multimodal Biometrics: A Comparative Analysis on Audio-Visual Speaker Recognition Systems (2021), Procedia Computer Science
Fenu G., Marras M., Medda G., Meloni G., Fair voice biometrics: Impact of demographic imbalance on group fairness in speaker recognition (2021), Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Boratto L., Fenu G., Marras M., Combining mitigation treatments against biases in personalized rankings: Use case on item popularity (2021), CEUR Workshop Proceedings
Boratto L., Faralli S., Marras M., Stilo G., Advances in bias and fairness in information retrieval: Preface (2021), Communications in Computer and Information Science
Dessi D., Kaser T., Marras M., Popescu E., Sack H., Preface (2021), CEUR Workshop Proceedings
Dessì D., Käser T., Marras M., Popescu E., Sack H., Designing intelligent systems for online education: Open challenges and future directions (2021), CEUR Workshop Proceedings
Boratto L., Faralli S., Marras M., Stilo G., Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021) (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Fenu G., Marras M., Connecting user and item perspectives in popularity debiasing for collaborative recommendation (2021), Information Processing and Management
Fenu G., Medda G., Marras M., Meloni G., Improving Fairness in Speaker Recognition (2020), ACM International Conference Proceeding Series
Marras M., Fenu G., A Framework for Biometric Recognition in Online Content Delivery Platforms (2020), ACM International Conference Proceeding Series
Boratto L., Marras M., Hands on Data and Algorithmic Bias in Recommender Systems (2020), UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
Fenu G., Galici R., Marras M., Evaluation framework for context-aware speaker recognition in noisy smart living environments (2020), CEUR Workshop Proceedings
Fenu G., Lafhouli H., Marras M., Exploring Algorithmic Fairness in Deep Speaker Verification (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Boratto L., Faralli S., Marras M., Stilo G., Preface (2020), Communications in Computer and Information Science
Consoli S., Dessì D., Fenu G., Marras M., Deep attention-based model for helpfulness prediction of healthcare online reviews (2020), CEUR Workshop Proceedings
Boratto L., Marras M., Faralli S., Stilo G., International workshop on algorithmic bias in search and recommendation (bias 2020) (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Marras M., Marín-Reyes P.A., Lorenzo-Navarro J., Castrillón-Santana M., Fenu G., Deep Multi-biometric Fusion for Audio-Visual User Re-Identification and Verification (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Fenu G., Marras M., Barra S., Giorgini F., Zucchetti D., Chesi F., iLearnTV: An ecosystem of knowledge sharing and collaborative production to innovate training (2019), Mondo Digitale
Dessì D., Fenu G., Marras M., Reforgiato Recupero D., Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections (2019), Computers in Human Behavior
Marras M., Korus P., Memon N., Fenu G., Adversarial optimization for dictionary attacks on speaker verification (2019), Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Dessì D., Dragoni M., Fenu G., Marras M., Recupero D.R., Evaluating neural word embeddings created from online course reviews for sentiment analysis (2019), Proceedings of the ACM Symposium on Applied Computing
Boratto L., Fenu G., Marras M., The effect of algorithmic bias on recommender systems for massive open online courses (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Marras M., Marín-Reyes P.A., Lorenzo-Navarro J., Castrillón-Santana M., Fenu G., AveroBot: An audio-visual dataset for people re-identification and verification in human-robot interaction (2019), ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods
Fenu G., Marras M., Boratto L., A multi-biometric system for continuous student authentication in e-learning platforms (2018), Pattern Recognition Letters
Fenu G., Marras M., Controlling user access to cloud-connected mobile applications by means of biometrics (2018), IEEE Cloud Computing
Marras M., Manca M., Boratto L., Fenu G., Laniado D., BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration (2018), The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
Barra S., Marras M., Fenu G., Continuous authentication on smartphone by means of periocular and virtual keystroke (2018), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abate A.F., Barra S., Casanova A., Fenu G., Marras M., Iris quality assessment: A statistical approach for biometric security applications (2018), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Dessì D., Fenu G., Marras M., Reforgiato Recupero D., COCO: Semantic-enriched collection of online courses at scale with experimental use cases (2018), Advances in Intelligent Systems and Computing
Fenu G., Marras M., Leveraging Continuous Multi-modal Authentication for Access Control in Mobile Cloud Environments (2017), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Dessì D., Fenu G., Marras M., Reforgiato Recupero D., Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos (2017), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Fenu G., Marras M., Meles M., A learning analytics tool for usability assessment in Moodle environments (2017), Journal of E-Learning and Knowledge Society