Mirko Marras

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 125

Top Venues

Publications

Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Gianni Fenu, Fadi Boutros, Mirko Marras, Naser Damer
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. WACV (Workshops) (2024)
Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato
Report on the 1st International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) at ECIR 2024. SIGIR Forum 58 (1) (2024)
Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes
A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation. ECIR (3) (2024)
Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces. FG (2024)
Guilherme Ramos, Mirko Marras, Ludovico Boratto
Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches. SIGIR (2024)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras
Explainable Recommender Systems with Knowledge Graphs and Language Models. ECIR (5) (2024)
Gianni Fenu, Roberta Galici, Mirko Marras
Data-Efficient Student Profiling in Online Courses. WAILS (2024)
Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces. CoRR (2024)
Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng-Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiaoyu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR (2024)
Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. ECIR (3) (2024)
Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis
Learner-centered Ontology for Explainable Educational Recommendation. UMAP (Adjunct Publication) (2024)
Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato
First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024). ECIR (5) (2024)
Salvatore Carta, Modesto Castrillón Santana, Mirko Marras, Sondos Mohamed, Alessandro Sebastian Podda, Roberto Saia, Marco Sau, Walter Zimmer
RoadSense3D: A Framework for Roadside Monocular 3D Object Detection. UMAP (Adjunct Publication) (2024)
Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. Inf. Fusion 107 (2024)
Silvio Barra, Mirko Marras, Sondos Mohamed, Alessandro Sebastian Podda, Roberto Saia
Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios. SAC (2024)
Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes
A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation. CoRR (2024)
Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation. CoRR (2024)
Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
International Workshop on Algorithmic Bias in Search and Recommendation (BIAS). SIGIR (2024)
Gianni Fenu, Roberta Galici, Mirko Marras, Diego Reforgiato Recupero
Exploring Student Interactions with AI in Programming Training. UMAP (Adjunct Publication) (2024)
Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. CoRR (2023)
Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CIKM (2023)
Mirko Marras
User Perspectives in Fair Recommender Systems: A Paradigm Shift. HCAI4U@CHItaly (2023)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality. Knowl. Based Syst. 260 (2023)
Silvio Barra, Mirko Marras, Sondos Mohamed, Alessandro Sebastian Podda, Roberto Saia
Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study. AI*IA (2023)
Andrea Atzori, Gianni Fenu, Mirko Marras
(Un)fair Exposure in Deep Face Rankings at a Distance. IJCB (2023)
Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CoRR (2023)
Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiao-Yu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR (2023)
Andrea Atzori, Gianni Fenu, Mirko Marras
Demographic Bias in Low-Resolution Deep Face Recognition in the Wild. IEEE J. Sel. Top. Signal Process. 17 (3) (2023)
Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. ECIR (3) (2023)
Andrea Atzori, Gianni Fenu, Mirko Marras
Fairness of Exposure in Forensic Face Rankings. IIR (2023)
Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras
How Close are Predictive Models to Teachers in Detecting Learners at Risk? UMAP (2023)
Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
Consumer Fairness Benchmark in Recommendation. IIR (2023)
Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods. IIR (2023)
Jade Maï Cock, Muhammad Bilal, Richard Davis, Mirko Marras, Tanja Käser
Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. LAK (2023)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). ECIR (3) (2023)
Andrea Atzori, Gianni Fenu, Mirko Marras
(Un)fair Exposure in Deep Face Rankings at a Distance. CoRR (2023)
Mirko Marras, Pawel Korus, Anubhav Jain, Nasir D. Memon
Dictionary Attacks on Speaker Verification. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. LAK (2023)
Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph. CoRR (2023)
Salvatore Carta, Gianni Fenu, Alessandro Giuliani, Marco Manolo Manca, Mirko Marras, Leonardo Piano, Alessandro Sebastian Podda, Livio Pompianu, Sandro Gabriele Tiddia
Empowering Digital Transformation in Tourism through Intelligent Methods for Representation and Exploitation of Cultural Heritage Knowledge (full paper). IAI4CH@AI*IA (2023)
Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation. CoRR (2023)
Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. LAK (2023)
Gianni Fenu, Mirko Marras, Giacomo Medda, Giacomo Meloni
Causal reasoning for algorithmic fairness in voice controlled cyber-physical systems. Pattern Recognit. Lett. 168 (2023)
Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. AAAI (2023)
Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
Practical perspectives of consumer fairness in recommendation. Inf. Process. Manag. 60 (2) (2023)
Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Towards Explainable Educational Recommendation through Path Reasoning Methods. IIR (2023)
Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. CoRR (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Hands on Explainable Recommender Systems with Knowledge Graphs. RecSys (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
: A framework for path reasoning quality in explainable recommendation. Softw. Impacts 14 (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. CoRR (2022)
Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations. Int. J. Artif. Intell. Educ. 32 (3) (2022)
Andrea Atzori, Gianni Fenu, Mirko Marras
Explaining Bias in Deep Face Recognition via Image Characteristics. CoRR (2022)
Andrea Atzori, Gianni Fenu, Mirko Marras
The More Secure, The Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds. CoRR (2022)
Geoffray Bonnin, Danilo Dessì, Gianni Fenu, Martin Hlosta, Mirko Marras, Harald Sack
Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education. Future Gener. Comput. Syst. 127 (2022)
Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser
Generalisable Methods for Early Prediction in Interactive Simulations for Education. EDM (2022)
Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Käser
Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms. AIED (1) (2022)
Jade Maï Cock, Muhammad Bilal, Richard Davis, Mirko Marras, Tanja Käser
Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. CoRR (2022)
Andrea Atzori, Gianni Fenu, Mirko Marras
Explaining Bias in Deep Face Recognition via Image Characteristics. IJCB (2022)
Vinitra Swamy, Mirko Marras, Tanja Käser
Meta Transfer Learning for Early Success Prediction in MOOCs. L@S (2022)
Guilherme Ramos, Ludovico Boratto, Mirko Marras
Robust Reputation Independence in Ranking Systems for Multiple Sensitive Attributes. CoRR (2022)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation. Inf. Process. Manag. 59 (1) (2022)
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. EDM (2022)
Vinitra Swamy, Mirko Marras, Tanja Käser
Meta Transfer Learning for Early Success Prediction in MOOCs. CoRR (2022)
Guilherme Ramos, Ludovico Boratto, Mirko Marras
Robust reputation independence in ranking systems for multiple sensitive attributes. Mach. Learn. 111 (10) (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality. CoRR (2022)
Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
Regulating Group Exposure for Item Providers in Recommendation. SIGIR (2022)
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. CoRR (2022)
Mirko Marras, Pawel Korus, Anubhav Jain, Nasir D. Memon
Dictionary Attacks on Speaker Verification. CoRR (2022)
Gianni Fenu, Roberta Galici, Mirko Marras
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education. AIED (1) (2022)
Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu
Regulating Group Exposure for Item Providers in Recommendation. CoRR (2022)
Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Alberto A. P. Cattaneo, Tanja Käser
Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals. IEEE Trans. Learn. Technol. 15 (5) (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation. IIR (2022)
Gianni Fenu, Roberta Galici, Mirko Marras, Simone Picciau
Supporting Instructors with Course Attendance and Quality Prediction in Synchronous Learning. HELMeTO (2022)
Gianni Fenu, Roberta Galici, Mirko Marras
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education. CoRR (2022)
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. SIGIR (2022)
Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. CoRR (2022)
Andrea Atzori, Gianni Fenu, Mirko Marras
The More Secure, The Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds. EUSPN/ICTH (2022)
Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. CoRR (2022)
Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu
FATED 2022: Fairness, Accountability, and Transparency in Educational Data. EDM (2022)
Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser
Generalisable Methods for Early Prediction in Interactive Simulations for Education. CoRR (2022)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). ECIR (2) (2022)
Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. ECIR (1) (2022)
Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. CoRR (2022)
Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack
Designing Intelligent Systems for Online Education: Open Challenges and Future Directions. L2D@WSDM (2021)
Ludovico Boratto, Mirko Marras
Advances in Bias-aware Recommendation on the Web. WSDM (2021)
Elizabeth Gómez, Carlos Shui Zhang, Ludovico Boratto, Maria Salamó, Mirko Marras
The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems. SIGIR (2021)
Mirko Marras, Julien Tuan Tu Vignoud, Tanja Käser
Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses. EDM (2021)
Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). ECIR (2) (2021)
Jade Cock, Mirko Marras, Christian Giang, Tanja Käser
Early Prediction of Conceptual Understanding in Interactive Simulations. EDM (2021)
Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack
L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web. WSDM (2021)
Ludovico Boratto, Gianni Fenu, Mirko Marras
Interplay between upsampling and regularization for provider fairness in recommender systems. User Model. User Adapt. Interact. 31 (3) (2021)
Gianni Fenu, Mirko Marras, Giacomo Medda, Giacomo Meloni
Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition. Interspeech (2021)
Ludovico Boratto, Mirko Marras
Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development. ICDE (2021)
Guilherme Ramos, Ludovico Boratto, Mirko Marras
Reputation Equity in Ranking Systems. CIKM (2021)
Gianni Fenu, Giacomo Medda, Mirko Marras, Giacomo Meloni
Improving Fairness in Speaker Recognition. CoRR (2021)
Gianni Fenu, Mirko Marras
Demographic Fairness in Multimodal Biometrics: A Comparative Analysis on Audio-Visual Speaker Recognition Systems. EUSPN/ICTH (2021)
Ludovico Boratto, Gianni Fenu, Mirko Marras
Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity. IIR (2021)
Ludovico Boratto, Gianni Fenu, Mirko Marras
Connecting user and item perspectives in popularity debiasing for collaborative recommendation. Inf. Process. Manag. 58 (1) (2021)
Ludovico Boratto, Gianni Fenu, Mirko Marras
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems. CoRR (2020)
Sergio Consoli, Danilo Dessì, Gianni Fenu, Mirko Marras
Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews. SmartPhil@IUI (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mirko Marras