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2020 – today
- 2025
[j24]Ivan DeAndres-Tame
, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Luis Felipe Gomez-Gomez, Aythami Morales, Julian Fierrez, 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 FRCSyn-onGoing: Winning solutions and post-challenge analysis to improve face recognition with synthetic data. Inf. Fusion 120: 103099 (2025)- [j23]Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation. IEEE Trans. Big Data 11(1): 303-309 (2025) - [j22]Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu:
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. ACM Trans. Intell. Syst. Technol. 16(1): 6:1-6:26 (2025) - [c86]Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations. SIGIR 2025: 2577-2581 - [c85]Ludovico Boratto, Federica Cena, Mirko Marras, Noemi Mauro, Giacomo Medda:
Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism. SIGIR 2025: 3110-3112 - [c84]Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras:
International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025). SIGIR 2025: 4150-4152 - [c83]Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis:
Can Path-Based Explainable Recommendation Methods based on Knowledge Graphs Generalize for Personalized Education? UMAP 2025: 273-278 - [e7]Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras:
Advances in Bias and Fairness in Information Retrieval - 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers. Communications in Computer and Information Science 2227, Springer 2025, ISBN 978-3-031-71974-5 [contents] - [e6]Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda, Cataldo Musto, Erasmo Purificato:
Advances on Graph-Based Approaches in Information Retrieval - First International Workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, Proceedings. Communications in Computer and Information Science 2197, Springer 2025, ISBN 978-3-031-71381-1 [contents] - [i38]Maria Cristina Carrisi, Mirko Marras, Sara Vergallo:
A Structured Unplugged Approach for Foundational AI Literacy in Primary Education. CoRR abs/2505.21398 (2025) - 2024
- [j21]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: 102322 (2024) - [j20]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): 1-4 (2024) - [j19]Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras:
Report on the 5th International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2024) at SIGIR 2024. SIGIR Forum 58(2): 1-6 (2024) - [c82]Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis:
EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration. CIKM 2024: 5159-5163 - [c81]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. CVPR Workshops 2024: 3173-3183 - [c80]Andrea Atzori, Pietro Cosseddu, Gianni Fenu, Mirko Marras:
The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition. ECCV Workshops (20) 2024: 284-302 - [c79]Sondos Mohamed, Walter Zimmer, Ross Greer, Ahmed Alaaeldin Ghita, Modesto Castrillón Santana, Mohan M. Trivedi, Alois Knoll, Salvatore M. Carta, Mirko Marras:
Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection. ECCV Workshops (8) 2024: 309-325 - [c78]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. ECIR (3) 2024: 38-55 - [c77]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras:
Explainable Recommender Systems with Knowledge Graphs and Language Models. ECIR (5) 2024: 352-357 - [c76]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: 415-421 - [c75]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: 440-448 - [c74]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: 1-10 - [c73]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks. IIR 2024: 62-65 - [c72]Carmine Gravino, Alessandro Iannella, Mirko Marras, Silvio Marcello Pagliara, Fabio Palomba:
Teachers Interacting with Generative Artificial Intelligence: A Dual Responsibility. Ital-IA 2024: 83-88 - [c71]Gianni Fenu, Roberta Galici, Mirko Marras:
Data-Efficient Student Profiling in Online Courses. WAILS 2024: 11-20 - [c70]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Fair Augmentation for Graph Collaborative Filtering. RecSys 2024: 158-168 - [c69]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras, Alessandro Soccol:
KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation. RecSys 2024: 1079-1084 - [c68]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: 221-223 - [c67]Guilherme Ramos, Mirko Marras, Ludovico Boratto:
Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches. SIGIR 2024: 2667-2671 - [c66]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: 3033-3035 - [c65]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 - [c64]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 - [c63]Gianni Fenu, Roberta Galici, Mirko Marras, Diego Reforgiato Recupero:
Exploring Student Interactions with AI in Programming Training. UMAP (Adjunct Publication) 2024 - [c62]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: 892-901 - [i37]Ludovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes:
A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation. CoRR abs/2401.13566 (2024) - [i36]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation. CoRR abs/2401.13823 (2024) - [i35]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 abs/2404.03537 (2024) - [i34]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 abs/2404.10378 (2024) - [i33]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Fair Augmentation for Graph Collaborative Filtering. CoRR abs/2408.12208 (2024) - [i32]Sondos Mohamed, Walter Zimmer, Ross Greer, Ahmed Alaaeldin Ghita, Modesto Castrillón Santana, Mohan M. Trivedi, Alois Knoll, Salvatore M. Carta, Mirko Marras:
Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection. CoRR abs/2408.15637 (2024) - [i31]Andrea Atzori, Pietro Cosseddu, Gianni Fenu, Mirko Marras:
The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition. CoRR abs/2409.02867 (2024) - [i30]Daniele Malitesta, Giacomo Medda, Erasmo Purificato, Ludovico Boratto, Fragkiskos D. Malliaros, Mirko Marras, Ernesto William De Luca:
How Fair is Your Diffusion Recommender Model? CoRR abs/2409.04339 (2024) - [i29]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, Bastianino Mossa, Piergiorgio Mura, Marco Ortu, Leonardo Piano, Simone Pisano, Alessia Pisu, Alessandro Sebastian Podda, Livio Pompianu, Simone Seu, Sandro Gabriele Tiddia:
LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models. CoRR abs/2411.13453 (2024) - [i28]Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Luis Felipe Gomez-Gomez, 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 FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data. CoRR abs/2412.01383 (2024) - 2023
- [j18]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Practical perspectives of consumer fairness in recommendation. Inf. Process. Manag. 60(2): 103208 (2023) - [j17]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): 599-611 (2023) - [j16]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality. Knowl. Based Syst. 260: 110098 (2023) - [j15]Gianni Fenu, Mirko Marras, Giacomo Medda, Giacomo Meloni:
Causal reasoning for algorithmic fairness in voice controlled cyber-physical systems. Pattern Recognit. Lett. 168: 131-137 (2023) - [j14]Mirko Marras, Pawel Korus, Anubhav Jain, Nasir D. Memon:
Dictionary Attacks on Speaker Verification. IEEE Trans. Inf. Forensics Secur. 18: 773-788 (2023) - [c61]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: 15903-15911 - [c60]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: 83-91 - [c59]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: 321-335 - [c58]Mirko Marras:
User Perspectives in Fair Recommender Systems: A Paradigm Shift. HCAI4U@CHItaly 2023 - [c57]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CIKM 2023: 3753-3757 - [c56]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: 3-19 - [c55]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). ECIR (3) 2023: 373-376 - [c54]Andrea Atzori, Gianni Fenu, Mirko Marras:
(Un)fair Exposure in Deep Face Rankings at a Distance. IJCB 2023: 1-9 - [c53]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Consumer Fairness Benchmark in Recommendation. IIR 2023: 60-65 - [c52]Andrea Atzori, Gianni Fenu, Mirko Marras:
Fairness of Exposure in Forensic Face Rankings. IIR 2023: 91-96 - [c51]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: 111-116 - [c50]Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Towards Explainable Educational Recommendation through Path Reasoning Methods. IIR 2023: 131-136 - [c49]Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser:
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. LAK 2023: 345-356 - [c48]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: 441-452 - [c47]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: 488-498 - [c46]Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras:
How Close are Predictive Models to Teachers in Detecting Learners at Risk? UMAP 2023: 135-145 - [e5]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers. Communications in Computer and Information Science 1840, Springer 2023, ISBN 978-3-031-37248-3 [contents] - [i27]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 abs/2301.05944 (2023) - [i26]Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu:
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. CoRR abs/2304.06182 (2023) - [i25]Andrea Atzori, Gianni Fenu, Mirko Marras:
(Un)fair Exposure in Deep Face Rankings at a Distance. CoRR abs/2308.11732 (2023) - [i24]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CoRR abs/2308.12083 (2023) - [i23]Giacomo Balloccu, Ludovico Boratto, Christian Cancedda, Gianni Fenu, Mirko Marras:
Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph. CoRR abs/2310.16452 (2023) - [i22]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 Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR abs/2311.10476 (2023) - 2022
- [j13]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): 636-684 (2022) - [j12]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: 331-333 (2022) - [j11]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): 102791 (2022) - [j10]Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Robust reputation independence in ranking systems for multiple sensitive attributes. Mach. Learn. 111(10): 3769-3796 (2022) - [j9]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
XRecSys: A framework for path reasoning quality in explainable recommendation. Softw. Impacts 14: 100404 (2022) - [j8]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): 579-593 (2022) - [c45]Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Käser:
Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms. AIED (1) 2022: 90-102 - [c44]Gianni Fenu, Roberta Galici, Mirko Marras:
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education. AIED (1) 2022: 243-255 - [c43]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). ECIR (2) 2022: 547-551 - [c42]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. ECIR (1) 2022: 552-566 - [c41]Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser:
Generalisable Methods for Early Prediction in Interactive Simulations for Education. EDM 2022 - [c40]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 - [c39]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 - [c38]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: 212-217 - [c37]Gianni Fenu, Roberta Galici, Mirko Marras, Simone Picciau:
Supporting Instructors with Course Attendance and Quality Prediction in Synchronous Learning. HELMeTO 2022: 71-83 - [c36]Andrea Atzori, Gianni Fenu, Mirko Marras:
Explaining Bias in Deep Face Recognition via Image Characteristics. IJCB 2022: 1-10 - [c35]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation. IIR 2022 - [c34]Vinitra Swamy, Mirko Marras, Tanja Käser:
Meta Transfer Learning for Early Success Prediction in MOOCs. L@S 2022: 121-132 - [c33]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Hands on Explainable Recommender Systems with Knowledge Graphs. RecSys 2022: 710-713 - [c32]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. SIGIR 2022: 646-656 - [c31]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Regulating Group Exposure for Item Providers in Recommendation. SIGIR 2022: 1839-1843 - [e4]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers. Communications in Computer and Information Science 1610, Springer 2022, ISBN 978-3-031-09315-9 [contents] - [i21]Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda:
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations. CoRR abs/2201.08614 (2022) - [i20]Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Robust Reputation Independence in Ranking Systems for Multiple Sensitive Attributes. CoRR abs/2203.16663 (2022) - [i19]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. CoRR abs/2204.11241 (2022) - [i18]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Regulating Group Exposure for Item Providers in Recommendation. CoRR abs/2204.11243 (2022) - [i17]Mirko Marras, Pawel Korus, Anubhav Jain, Nasir D. Memon:
Dictionary Attacks on Speaker Verification. CoRR abs/2204.11304 (2022) - [i16]Vinitra Swamy, Mirko Marras, Tanja Käser:
Meta Transfer Learning for Early Success Prediction in MOOCs. CoRR abs/2205.01064 (2022) - [i15]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 abs/2207.00551 (2022) - [i14]Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser:
Generalisable Methods for Early Prediction in Interactive Simulations for Education. CoRR abs/2207.01457 (2022) - [i13]Gianni Fenu, Roberta Galici, Mirko Marras:
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education. CoRR abs/2207.01490 (2022) - [i12]Andrea Atzori, Gianni Fenu, Mirko Marras:
Explaining Bias in Deep Face Recognition via Image Characteristics. CoRR abs/2208.11099 (2022) - [i11]Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality. CoRR abs/2209.04954 (2022) - [i10]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 abs/2209.15550 (2022) - [i9]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 abs/2212.01133 (2022) - [i8]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 abs/2212.08532 (2022) - [i7]Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser:
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. CoRR abs/2212.08955 (2022) - [i6]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 abs/2212.10166 (2022) - 2021
- [j7]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Connecting user and item perspectives in popularity debiasing for collaborative recommendation. Inf. Process. Manag. 58(1): 102387 (2021) - [j6]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Interplay between upsampling and regularization for provider fairness in recommender systems. User Model. User Adapt. Interact. 31(3): 421-455 (2021) - [c30]Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Reputation Equity in Ranking Systems. CIKM 2021: 3378-3382 - [c29]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). ECIR (2) 2021: 697-700 - [c28]Jade Cock, Mirko Marras, Christian Giang, Tanja Käser:
Early Prediction of Conceptual Understanding in Interactive Simulations. EDM 2021 - [c27]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 - [c26]Gianni Fenu, Mirko Marras:
Demographic Fairness in Multimodal Biometrics: A Comparative Analysis on Audio-Visual Speaker Recognition Systems. EUSPN/ICTH 2021: 249-254 - [c25]Ludovico Boratto, Mirko Marras:
Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development. ICDE 2021: 2362-2364 - [c24]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity. IIR 2021 - [c23]Gianni Fenu, Mirko Marras, Giacomo Medda, Giacomo Meloni:
Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition. Interspeech 2021: 1892-1896 - [c22]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: 1808-1812 - [c21]Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack:
Designing Intelligent Systems for Online Education: Open Challenges and Future Directions. L2D@WSDM 2021: 57-64 - [c20]Ludovico Boratto, Mirko Marras:
Advances in Bias-aware Recommendation on the Web. WSDM 2021: 1147-1149 - [c19]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: 1165-1166 - [e3]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Advances in Bias and Fairness in Information Retrieval - Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings. Communications in Computer and Information Science 1418, Springer 2021, ISBN 978-3-030-78817-9 [contents] - [e2]Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack:
Proceedings of the First International Workshop on Enabling Data-Driven Decisions from Learning on the Web co-located with the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Jerusalem, Israel, March 12, 2021 - moved online. CEUR Workshop Proceedings 2876, CEUR-WS.org 2021 [contents] - [i5]Gianni Fenu, Giacomo Medda, Mirko Marras, Giacomo Meloni:
Improving Fairness in Speaker Recognition. CoRR abs/2104.14067 (2021) - 2020
- [j5]Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo:
ECIR 2020 workshops: assessing the impact of going online. SIGIR Forum 54(1): 7:1-7:11 (2020) - [j4]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020). SIGIR Forum 54(1): 9:1-9:5 (2020) - [c18]Mirko Marras, Gianni Fenu:
A Framework for Biometric Recognition in Online Content Delivery Platforms. AVI 2020: 72:1-72:3 - [c17]Gianni Fenu, Roberta Galici, Mirko Marras:
Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments. CIKM (Workshops) 2020 - [c16]Ludovico Boratto, Mirko Marras, Stefano Faralli, Giovanni Stilo:
International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). ECIR (2) 2020: 637-640 - [c15]Gianni Fenu, Giacomo Medda, Mirko Marras, Giacomo Meloni:
Improving Fairness in Speaker Recognition. ESSE 2020: 129-136 - [c14]Gianni Fenu, Hicham Lafhouli, Mirko Marras:
Exploring Algorithmic Fairness in Deep Speaker Verification. ICCSA (4) 2020: 77-93 - [c13]Sergio Consoli, Danilo Dessì, Gianni Fenu, Mirko Marras:
Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews. SmartPhil@IUI 2020: 33-49 - [c12]Ludovico Boratto, Mirko Marras:
Hands on Data and Algorithmic Bias in Recommender Systems. UMAP 2020: 388-389 - [e1]Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo:
Bias and Social Aspects in Search and Recommendation - First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, 2020, Proceedings. Communications in Computer and Information Science 1245, Springer 2020, ISBN 978-3-030-52484-5 [contents] - [i4]Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo:
ECIR 2020 Workshops: Assessing the Impact of Going Online. CoRR abs/2005.06748 (2020) - [i3]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation. CoRR abs/2006.04275 (2020) - [i2]Ludovico Boratto, Gianni Fenu, Mirko Marras:
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems. CoRR abs/2006.04279 (2020) - [i1]Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Equality of Learning Opportunity in Personalized Recommendations. CoRR abs/2006.04282 (2020)
2010 – 2019
- 2019
- [j3]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections. Comput. Hum. Behav. 92: 468-477 (2019) - [c11]Ludovico Boratto, Gianni Fenu, Mirko Marras:
The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses. ECIR (1) 2019: 457-472 - [c10]Mirko Marras, Pedro A. Marín-Reyes, Javier Lorenzo-Navarro, Modesto Castrillón Santana, Gianni Fenu:
Deep Multi-biometric Fusion for Audio-Visual User Re-Identification and Verification. ICPRAM (Revised Selected Papers) 2019: 136-157 - [c9]Mirko Marras, Pedro A. Marín-Reyes, Javier Lorenzo-Navarro, Modesto Castrillón Santana, Gianni Fenu:
AveRobot: An Audio-visual Dataset for People Re-identification and Verification in Human-Robot Interaction. ICPRAM 2019: 255-265 - [c8]Mirko Marras, Pawel Korus, Nasir D. Memon, Gianni Fenu:
Adversarial Optimization for Dictionary Attacks on Speaker Verification. INTERSPEECH 2019: 2913-2917 - [c7]Danilo Dessì, Mauro Dragoni, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Evaluating neural word embeddings created from online course reviews for sentiment analysis. SAC 2019: 2124-2127 - 2018
- [j2]Gianni Fenu, Mirko Marras:
Controlling User Access to Cloud-Connected Mobile Applications by Means of Biometrics. IEEE Cloud Comput. 5(4): 47-57 (2018) - [j1]Gianni Fenu, Mirko Marras, Ludovico Boratto:
A multi-biometric system for continuous student authentication in e-learning platforms. Pattern Recognit. Lett. 113: 83-92 (2018) - [c6]Andrea F. Abate, Silvio Barra, Andrea Casanova, Gianni Fenu, Mirko Marras:
Iris Quality Assessment: A Statistical Approach for Biometric Security Applications. CSS 2018: 270-278 - [c5]Silvio Barra, Mirko Marras, Gianni Fenu:
Continuous Authentication on Smartphone by Means of Periocular and Virtual Keystroke. NSS 2018: 212-220 - [c4]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
COCO: Semantic-Enriched Collection of Online Courses at Scale with Experimental Use Cases. WorldCIST (2) 2018: 1386-1396 - [c3]Mirko Marras, Matteo Manca, Ludovico Boratto, Gianni Fenu, David Laniado:
BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration. WWW (Companion Volume) 2018: 219-222 - 2017
- [c2]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos. ESWC (Satellite Events) 2017: 21-25 - [c1]Gianni Fenu, Mirko Marras:
Leveraging Continuous Multi-modal Authentication for Access Control in Mobile Cloud Environments. ICIAP Workshops 2017: 331-342
Coauthor Index
[j23] [j22] [c86] [c85] [c84] [c83] [e7] [e6] [j20] [j19] [c82] [c78] [c77] [c76] [c75] [c73] [c70] [c69] [c67] [c66] [c65] [i37] [i36] [i33] [i30] [j18] [j16] [c57] [c56] [c55] [c53] [c51] [c50] [e5] [i27] [i26] [i24] [i23] [j13] [j11] [j10] [j9] [c43] [c42] [c35] [c33] [c32] [c31] [e4] [i21] [i20] [i19] [i18] [i11] [j7] [j6] [c30] [c29] [c25] [c24] [c22] [c20] [e3] [j5] [j4] [c16] [c12] [e1] [i4] [i3] [i2] [i1] [c11] [j1] [c3]
[j24] [j22] [c83] [j21] [c82] [c81] [c80] [c78] [c77] [c74] [c73] [c71] [c70] [c69] [c65] [c63] [c62] [i36] [i35] [i34] [i33] [i31] [i29] [i28] [j18] [j17] [j16] [j15] [c60] [c57] [c56] [c54] [c53] [c52] [c51] [c50] [c48] [c46] [i27] [i26] [i25] [i24] [i23] [i22] [j13] [j12] [j9] [c44] [c42] [c38] [c37] [c36] [c35] [c33] [c32] [c31] [i21] [i19] [i18] [i13] [i12] [i11] [i10] [i8] [j7] [j6] [c26] [c24] [c23] [i5] [c18] [c17] [c15] [c14] [c13] [i3] [i2] [i1] [j3] [c11] [c10] [c9] [c8] [c7] [j2] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
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