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Mirko Marras
Mirko Marras
Tenure-Track Assistant Professor of Deep Learning, University of Cagliari
Verified email at unica.it - Homepage
Title
Cited by
Cited by
Year
A Multi-Biometric System for Continuous Student Authentication in E-Learning Platforms
G Fenu, M Marras, L Boratto
Pattern Recognition Letters 113, 83-92, 2018
1112018
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation
L Boratto, G Fenu, M Marras
Information Processing & Management 58 (1), 2021
1092021
Bridging Learning Analytics and Cognitive Computing for Big Data Classification in Micro-Learning Video Collections
D Dessì, G Fenu, M Marras, DR Recupero
Computers in Human Behavior 92, 468-477, 2019
1062019
The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses
L Boratto, G Fenu, M Marras
European Conference on Information Retrieval (ECIR), 457-472, 2019
742019
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems
L Boratto, G Fenu, M Marras
User Modeling and User-Adapted Interaction 31 (3), 421-455, 2021
592021
COCO: Semantic-Enriched Collection of Online Courses at Scale with Experimental Use Cases
D Dessì, G Fenu, M Marras, DR Recupero
World Conference on Information Systems and Technologies (WorldCist), 1386-1396, 2018
532018
The Winner Takes it All: Geographic Imbalance and Provider (Un) fairness in Educational Recommender Systems
E Gómez, C Shui Zhang, L Boratto, M Salamó, M Marras
ACM SIGIR Conference on Research and Development in Information Retrieval …, 2021
522021
A Learning Analytics Tool for Usability Assessment in Moodle Environments
G Fenu, M Marras, M Meles
Journal of e-Learning and Knowledge Society 13 (3), 23-34, 2017
482017
Post processing recommender systems with knowledge graphs for recency, popularity, and diversity of explanations
G Balloccu, L Boratto, G Fenu, M Marras
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
412022
Evaluating the explainers: black-box explainable machine learning for student success prediction in MOOCs
V Swamy, B Radmehr, N Krco, M Marras, T Käser
International Conference on Educational Data Mining (EDM), 2022
402022
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations
M Marras, L Boratto, G Ramos, G Fenu
International Journal of Artificial Intelligence in Education, 2021
362021
Consumer fairness in recommender systems: Contextualizing definitions and mitigations
L Boratto, G Fenu, M Marras, G Medda
European Conference on Information Retrieval, 552-566, 2022
352022
Adversarial Optimization for Dictionary Attacks on Speaker Verification
M Marras, P Korus, N Memon, G Fenu
Annual Conference of the International Speech Communication Association …, 2019
332019
Experts’ view on challenges and needs for fairness in artificial intelligence for education
G Fenu, R Galici, M Marras
International Conference on Artificial Intelligence in Education (AIED), 243-255, 2022
292022
Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses
M Marras, JTT Vignoud, T Käser
International Conference on Educational Data Mining (EDM), 2021
292021
Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition
G Fenu, M Marras, G Medda, G Meloni
Annual Conference of the International Speech Communication Association …, 2021
282021
⭐ Improving Fairness in Speaker Recognition
G Fenu, G Medda, M Marras, G Meloni
European Symposium on Software Engineering (ESSE), 129-136, 2020
282020
Exploring Algorithmic Fairness in Deep Speaker Verification
G Fenu, H Lafhouli, M Marras
International Conference on Computational Science and Its Applications …, 2020
272020
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality
G Balloccu, L Boratto, G Fenu, M Marras
Knowledge-Based Systems 260, 110098, 2023
262023
Evaluating Neural Word Embeddings Created from Online Course Reviews for Sentiment Analysis
D Dessì, M Dragoni, G Fenu, M Marras, DR Recupero
ACM/SIGAPP Symposium on Applied Computing (SAC), 2124-2127, 2019
262019
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