Mirko Marras

Alessandro Sebastian Podda

Sondos Mohamed

Roberto Saia

Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

Ripple: Concept-Based Interpretation for Raw Time Series Models in Education.

[BibT_eX]

[DOI]

Mohammad Asadi

Vinitra Swamy

Jibril Frej

Julien Tuan Tu Vignoud

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

<i>XRecSys</i>: A framework for path reasoning quality in explainable recommendation.

[BibT_eX]

[DOI]

Softw. Impacts, December, 2022

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals.

[BibT_eX]

[DOI]

Paola Mejia-Domenzain

Christian Giang

Alberto A. P. Cattaneo

IEEE Trans. Learn. Technol., 2022

Robust reputation independence in ranking systems for multiple sensitive attributes.

[BibT_eX]

[DOI]

Guilherme Ramos

Mach. Learn., 2022

Guest editorial of the IPM special issue on algorithmic bias and fairness in search and recommendation.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2022

Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2022

Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2022

Regulating Group Exposure for Item Providers in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Hands on Explainable Recommender Systems with Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Meta Transfer Learning for Early Success Prediction in MOOCs.

[BibT_eX]

[DOI]

Vinitra Swamy

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Explaining Bias in Deep Face Recognition via Image Characteristics.

[BibT_eX]

[DOI]

Andrea Atzori

Proceedings of the IEEE International Joint Conference on Biometrics, 2022

Supporting Instructors with Course Attendance and Quality Prediction in Synchronous Learning.

[BibT_eX]

[DOI]

Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

The More Secure, The Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds.

[BibT_eX]

[DOI]

Andrea Atzori

Proceedings of the 13th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2022) / The 12th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2022), 2022

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Educational Data Mining, 2022

FATED 2022: Fairness, Accountability, and Transparency in Educational Data.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Generalisable Methods for Early Prediction in Interactive Simulations for Education.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022).

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2022

Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2022

Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms.

[BibT_eX]

[DOI]

Paola Mejia-Domenzain

Christian Giang

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education.

[BibT_eX]

[DOI]

Roberta Galici

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Interplay between upsampling and regularization for provider fairness in recommender systems.

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., 2021

Connecting user and item perspectives in popularity debiasing for collaborative recommendation.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2021

Designing Intelligent Systems for Online Education: Open Challenges and Future Directions.

[BibT_eX]

[DOI]

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, 2021

L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Advances in Bias-aware Recommendation on the Web.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Combining Mitigation Treatments against Biases in Personalized Rankings: Use Case on Item Popularity.

[BibT_eX]

[DOI]

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

Countering Bias in Personalized Rankings : From Data Engineering to Algorithm Development.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Demographic Fairness in Multimodal Biometrics: A Comparative Analysis on Audio-Visual Speaker Recognition Systems.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses.

[BibT_eX]

Julien Tuan Tu Vignoud

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Early Prediction of Conceptual Understanding in Interactive Simulations.

[BibT_eX]

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021).

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2021

Reputation Equity in Ranking Systems.

[BibT_eX]

[DOI]

Guilherme Ramos

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

ECIR 2020 workshops: assessing the impact of going online.

[BibT_eX]

[DOI]

SIGIR Forum, 2020

Report on the international workshop on algorithmic bias in search and recommendation (Bias 2020).

[BibT_eX]

[DOI]

SIGIR Forum, 2020

Equality of Learning Opportunity in Personalized Recommendations.

[BibT_eX]

[DOI]

CoRR, 2020

Hands on Data and Algorithmic Bias in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews.

[BibT_eX]

[DOI]

Proceedings of the First Workshop on Smart Personal Health Interfaces co-located with 25th International Conference on Intelligent User Interfaces, 2020

Exploring Algorithmic Fairness in Deep Speaker Verification.

[BibT_eX]

[DOI]

Hicham Lafhouli

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Improving Fairness in Speaker Recognition.

[BibT_eX]

[DOI]

Proceedings of the ESSE 2020: 2020 European Symposium on Software Engineering, 2020

International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020).

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2020

Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments.

[BibT_eX]

[DOI]

Roberta Galici

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

A Framework for Biometric Recognition in Online Content Delivery Platforms.

[BibT_eX]

[DOI]

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

2019

Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections.

[BibT_eX]

[DOI]

Danilo Dessì

Comput. Hum. Behav., 2019

Evaluating neural word embeddings created from online course reviews for sentiment analysis.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Adversarial Optimization for Dictionary Attacks on Speaker Verification.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Deep Multi-biometric Fusion for Audio-Visual User Re-Identification and Verification.

[BibT_eX]

[DOI]

Modesto Castrillón Santana

Pedro A. Marín-Reyes

Javier Lorenzo-Navarro

Proceedings of the Pattern Recognition Applications and Methods, 2019

AveRobot: An Audio-visual Dataset for People Re-identification and Verification in Human-Robot Interaction.

[BibT_eX]

[DOI]

Modesto Castrillón Santana

Pedro A. Marín-Reyes

Javier Lorenzo-Navarro

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2019

2018

A multi-biometric system for continuous student authentication in e-learning platforms.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2018

Controlling User Access to Cloud-Connected Mobile Applications by Means of Biometrics.

[BibT_eX]

[DOI]

IEEE Cloud Comput., 2018

BarcelonaNow: Empowering Citizens with Interactive Dashboards for Urban Data Exploration.

[BibT_eX]

[DOI]

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

COCO: Semantic-Enriched Collection of Online Courses at Scale with Experimental Use Cases.

[BibT_eX]

[DOI]

Danilo Dessì

Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Continuous Authentication on Smartphone by Means of Periocular and Virtual Keystroke.

[BibT_eX]

[DOI]

Silvio Barra

Proceedings of the Network and System Security - 12th International Conference, 2018

Iris Quality Assessment: A Statistical Approach for Biometric Security Applications.

[BibT_eX]

[DOI]

Proceedings of the Cyberspace Safety and Security - 10th International Symposium, 2018

2017

Leveraging Continuous Multi-modal Authentication for Access Control in Mobile Cloud Environments.

[BibT_eX]

[DOI]

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2017, 2017

Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos.

[BibT_eX]

[DOI]

Danilo Dessì