News

Oct 03, 2020: I will be co-organizing the 2nd International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2021) to be held as part of the 43nd European Conference on Information Retrieval (ECIR 2021). Please visit the workshop website for more information.

Sep 15, 2020: Our paper entitled “Improving Fairness in Speaker Recognition” has been accepted at The Symposium on Pattern Recognition and Applications (SPRA 2020).

Sep 2, 2020: Our paper entitled “Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation” has been accepted in Information Processing & Management (Q1).

Aug 30, 2020: Our paper entitled “Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments” has been accepted at The Third Workshop on Knowledge-driven Analytics and Systems Impacting Human Quality of Life (KDAH-CIKM 2020).

Aug 23, 2020: Our tutorial entitled “Bias in Personalized Rankings: Concepts to Code” has been accepted at The 20th IEEE International Conference on Data Mining (ICDM 2020).

Jun 7, 2020: Our pre-print paper entitled “Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation” has been published in arXiv with identifier 2006.04275 and is available at this link.

Jun 7, 2020: Our pre-print paper entitled “Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems” has been published in arXiv with identifier 2006.04279 and is available at this link.

Jun 7, 2020: Our pre-print paper entitled “Equality of Learning Opportunity in Personalized Recommendations” has been published in arXiv with identifier 2006.04282 and is available at this link.

Jun 2, 2020: Our paper entitled “Exploring Algorithmic Fairness in Deep Speaker Verification” has been accepted at The 20th International Conference on Computational Science and its Applications (ICCSA 2020).

May 30, 2020: Our demo paper entitled “A Framework for Biometric Recognition in Online Content Delivery Platforms” has been accepted at The International Conference on Advanced Visual Interfaces (AVI 2020).

May 15, 2020: I am serving as a guest editor for Algorithmic Bias and Fairness in Search and Recommendation, a Special Issue of Information Processing & Management, Elsevier, Impact Factor 3.892. Please visit the website for more information.

May 10, 2020: Our paper entitled “Characterizing Learner’s Comments and Rating Behavior in Online Course Platforms at Scale” has been accepted at The 19th International Conference on e-Learning, e-Business, Enterprise Information Systems, & e-Government (EEE 2020) - Acceptance Rate 21%.

Feb 1, 2020: Our tutorial entitled “Hands on Data and Algorithmic Bias in Recommender Systems” has been accepted at 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2020).

Jan 15, 2020: Our paper entitled “Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews” has been accepted at 1st Workshop on Smart Personal Health Interfaces (SmartPhil 2020).

Nov 01, 2019: I will be involved as a WP referral in the European Digital UniverCity (EDUC) project, a joint initiative of the University of Potsdam (Germany), Université de Rennes 1, Université Paris-Nanterre (France), Masaryk University (Czech Republic), University of Cagliari (Italy), and University of Pécs (Hungary), selected by the European Commission to envision one of the first European Universities. Please visit the project website for more information.

Oct 03, 2019: I will be co-organizing the 1st International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020) to be held as part of the 42nd European Conference on Information Retrieval (ECIR 2020). Please visit the workshop website for more information.

Oct 02, 2019: Our paper entitled “Deep Multi-Biometric Fusion for Audio-Visual User Re-Identification and Verification” has been accepted for publication in the Springer’s book “Selected Papers from the 8th International Conference on Pattern Recognition (ICPRAM 2019)”.

Selected Publications

Most recommender systems are evaluated on how they accu- rately predict user ratings. However, individuals use them for more than an anticipation of their preferences. The literature demonstrated that some recommendation algorithms achieve good prediction accuracy, but suffer from popularity bias. Other algorithms generate an item category bias due to unbalanced rating distributions across categories. These ef- fects have been widely analyzed in the context of books, movies, music, and tourism, but contrasting conclusions have…
Proceedings of the 41st European Conference on Information Retrieval (ECIR2019), 457-472. Springer. Class 2. A Level, 2019

Cloud-connected mobile applications are becoming a popular solution for ubiquitous access to online services, such as cloud data storage platforms. The adoption of such applications has brought security and privacy implications that are making individuals hesitant to migrate sensitive data to the Cloud; thus, new secure authentication protocols are needed. In this paper, we propose a continuous authentication approach integrating physical (face) and behavioral (touch and hand movements) biometrics to control user access…
IEEE Cloud Computing, 5(4), 47-57. IEEE. Q1 Level, 2018

Moving towards the next generation of personalized learning environments requires intelligent approaches powered by analytics for advanced learning contexts with enriched digital content. Micro-Learning through Massive Open Online Courses is riding the wave of popularity as a novel paradigm for delivering short educational videos in small pre-organized chunks over time, so that learners can get knowledge in a manageable way. However, with the ever-increasing number of videos, it has become challenging to arrange and…
Computers in Human Behavior. Elsevier. Q1 Level, 2018

In recent years, online courses have emerged as a new way to educate students in distance learning settings. However, as the demand increases, educational institutions are facing the challenge of how to prove that online students are who they claim to be during e-learning activities, especially exams. Human proctoring is a non-scalable approach which requires a person to monitor each student remotely. On the other hand, automated proctors tend to target a specific type of device and verify the students’ presence without considering…
Pattern Recognition Letters, 113, 83-92. Elsevier. Q1 Level, 2017

Publications

More Publications

(2020). Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments. Proceedings of the CIKM 2020 Workshops (CIKM 2020). CEUR-WS.

Abstract Pre Print

(2020). Improving Fairness in Speaker Recognition. Proceedings of the Symposium on Pattern Recognition and Applications (SPRA 2020). ACM.

Abstract Pre Print

(2020). A Framework for Biometric Recognition in Online Content Delivery Platforms. Proceedings of the International Conference on Advanced Visual Interfaces (AVI 2020). ACM.

Abstract Pre Print ACM Digital Library Video

(2020). Characterizing Learner’s Comments and Rating Behavior in Online Course Platforms at Scale. Proceedings of the 19th International Conference on e-Learning, e-Business, Enterprise Information Systems, & e-Government (EEE 2020). Springer.

Abstract Pre Print

(2020). Hands on Data and Algorithmic Bias in Recommender Systems. Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2020). ACM. Class 2. B Level.

Abstract Pre Print ACM Digital Library Website Slides Code

(2020). Exploring Algorithmic Fairness in Deep Speaker Verification. Proceedings of the 20th International Conference on Computational Science and its Applications (ICCSA 2020). Springer.

Abstract Pre Print Springer Link Slides

(2020). International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). Advances in Information Retrieval (ECIR 2020), vol 12036, 637-640. Springer.

Abstract Pre Print Springer Link Scopus Webpage

(2020). Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation. Information Processing & Management, 58(1), 102387. Elsevier. Q1 Level.

Abstract Pre Print arXiv Link Elsevier Link

(2020). Equality of Learning Opportunity in Personalized Recommendations. arXiv preprint arXiv:2006.04282.

Abstract Pre Print arXiv Link

Bias in Personalized Rankings: Concepts to Code
Nov 17, 2020 2:46 AM
A Framework for Biometric Recognition in Online Content Delivery Platforms
Sep 28, 2020 10:00 AM
Hands-on Tutorial on Data and Algorithmic Bias in Recommender Systems
Jul 12, 2020 12:00 PM
Exploring Algorithmic Fairness in Deep Speaker Verification
Jul 1, 2020 9:00 AM
Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews
Mar 18, 2020 11:00 AM
Adversarial Optimization for Dictionary Attacks in Speaker Verification
Sep 16, 2019 9:30 AM
The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses
Apr 16, 2019 4:40 PM
Sistemi Multi-Biometrici per l’Autenticazione Continua e Trasparente per l'Accesso a Servizi di Erogazione Contenuti
Mar 18, 2019 2:15 PM

Activities

Section 1: Organization and Participation as a Speaker at National and International Events

Section 2: Research Collaborations and Exchanges at National and International Level

Section 3: Reviewing Activities for National and International Conferences and Journals

Section 4: Editorial Activities for National and International Conferences and Journals

Section 5: Research Awards, Grants and Memberships at National and International Level

Projects

EDUC - European Digital UniverCity (EU, 5 ME)

EDUC aims to establish a collaborative, inclusive, integrated and efficient governance that will build on and contribute to the mutual trust between, and the involvement of, our six universities in all areas, from bottom to top. Thematic working groups involving all stakeholder groups at all organisational levels of our European Digital UniverCity will address topics such as Mobility and Exchange Scenarios, European Skills and Competencies Sustainability and Outreach. EDUC will also establish new communication and coordination flows which will allow the different university services to collaborate horizontally and, ultimately, harmonize work flows. Structures will be brought together in order to establish direct communication between the different services inside the universities – such as international offices, student and research administration offices, and centers for students with special needs.

ILEARNTV Anywhere Anytime (MIUR, 10 ME)

ILEARNTV will promote the evolution of school communities towards a new paradigm based on shared knowledge and collaborative production. In order to support the current transition phase experienced by over 700,000 teachers in Italy, ILEARNTV will define new models for their training inside an innovative platform as well as new methods for providing multi-channel digital learning content via PCs, tablets and smartphones. Within an advanced Software-as-a-Service Learning Content Management System (LCMS), the Cloud infrastructure will be responsible of managing hardware resources, while the software infrastructure will provide the platform’s application functions to end users. Learning material will be indexed into a digital repository and made available for re-use. Collaborative creation of multi-format and multi-media training content will be based on predefined and customizable templates. In this way, ILEARNTV will support teachers in facing the current technological changes, reducing costs and time generally required for their traditional training.

DECODE – DEcentralised Citizens Owned Data Ecosystem (EU, 5 ME)

DECODE will increase digital sovereignty of European citizens by enabling them to produce, access and control their data and exchange contextualised information in real-time, and in a confidential, and scalable manner. DECODE will develop a modular privacy-aware IoT hub with a free and open source operating system backed by a state of the art blockchain infrastructure supporting smart-contracts and privacy protections.The architecture will be demonstrated through four pilots in Barcelona and Amsterdam, in the field of digital democracy, citizen sensing, and collaborative economy. The pilots will be run with the active involvement of social entrepreneurs, hackers, and makers. Innovators will be able to build solutions on top of the platform through hackathons and open challenges, while ensuring their security, resilience and privacy preserving qualities. This aims to create a decentralised innovation ecosystem that will attract a critical mass able to shift the current centralised data-driven economy towards a decentralised, sustainable and commons-based economy. DECODE puts agency and data control in the hands of citizens, to improve citizens’ well-being and society for the collective benefit of all.

ELIOS – E-Learning Interactive OpportunitieS (MIUR, 1.2 ME)

ELIOS will promote the adoption of e-learning within the University of Cagliari. With ELIOS, students will be able to attend one of the following degree programmes in blended-learning settings: (i) Administration and Organization, (ii) Cultural Heritage and Entraitainment, (iii) Economics and Business Administration, (iv) Electrical Electronic and Computer Engineering. Students enrolled within ELIOS will share the same study programmes and final exams taken by traditionally-enrolled students. Moreover, they will receive the same qualification at the end of the programme. Large part of the courses will be available online through a dedicated Learning Management Systems (LMS), anywhere, any time. The LMS will also provide both asynchronous and synchronous learning tools. Students within ELIOS will benefit from a multi-channel technical assistance service aimed at supporting them during distance learning activites.

Teaching

Teaching Assistance, University of Cagliari (Italy)

Thesis Assistance, University of Cagliari (Italy)

  • 2020 Giacomo Meloni: A Framework for Characterization and Mitigation of Algorithmic Unfairness in Speaker Recognition.
  • 2020 Giacomo Medda: A Framework for Characterization and Mitigation of Algorithmic Unfairness in Speaker Recognition.
  • 2020 Mauro Barbieri: Exploring Techniques for Active Audio-Visual Speaker Recognition.
  • 2020 Schioccola Edoardo: Student Affective State Recognition in Educational Environments.
  • 2020 Saba Michele: Controlling Provider Visibility in Recommendation.
  • 2020 Campus Mattia: Comparative Analysis of Multi-Biometric Fusion Methodologies.
  • 2020 Galici Roberta: Speaker Verification Benchmark in Unconstrained Sensing Environments.
  • 2020 Lafhouli Hicham: Exploring Algorithmic Fairness in Deep Speaker Verification.
  • 2019 Corda Davide: Evaluating Fusion Rules for Deep Audio-Visual Biometric Systems.
  • 2019 Ariu Giulia: Algorithmic Fairness in Recommender Systems.
  • 2019 Corrias Francesco: A Survey on Continuous Authentication.
  • 2018 Medda Giacomo: An Architecture for Multi-Device Continuous Biometric Authentication.
  • 2018 Meloni Marco: An Architecture for Multi-Device Continuous Biometric Authentication.
  • 2018 Piras Fabio: Enabling Multi-Biometric Sign-In on Web-based E-Learning Platforms.
  • 2015 Pes Alberto: A Mobile Application to Support E-Learning Courses.

Thesis Assistance, École Polytechnique Fédérale de Lausanne - EPFL (Switzerland)

  • 2020 Yufan Ren: Human and Agent Learning Strategies in an Educational Game.
  • 2020 Julien Vignoud: Predicting Student Success from Behavioral Patterns in MOOCs.

Final Project Assistance, New York University (US)

  • 2019 Pareek Karan: Generative Adversarial Networks for Dictionary Attacks on Speaker Verification.

Mentorship Programs at International Conferences and Workshops

  • 2020 AAAI-21 Undergraduate Consortium.
  • 2020 IJCB Undergraduate Mentoring Program.

People

EURECAT - Technology Center of Catalonia (Spain)

  • Boratto Ludovico
  • Laniado David
  • Manca Matteo

Fondazione Bruno Kessler (Italy)

  • Dragoni Mauro

Joint Research Centre European Commission (Italy)

  • Consoli Sergio

Lattanzio Advisory (Italy)

  • Chesi Filippo

Lattanzio Learning (Italy)

  • Giorgini Fabrizio
  • Zucchetti Davide

New York University (US)

  • Korus Pawel
  • Memon Nasir

University of Cagliari (Italy)

  • Barra Silvio
  • Casanova Andrea
  • Dessì Danilo
  • Fenu Gianni
  • Galici Roberta
  • Lafhouli Hicham
  • Medda Giacomo
  • Meles Massimiliano
  • Meloni Giacomo
  • Reforgiato Recupero Diego

University of L’Aquila - L’Aquila (Italy)

  • Stilo Giovanni

University of Las Palmas de Gran Canaria (Spain)

  • Castrillon-Santana Modesto
  • Lorenzo-Navarro Javier
  • Marin-Reyes Pedro A.

University of Rome Unitelma Sapienza - Rome (Italy)

  • Faralli Stefano

University of Salerno (Italy)

  • Abate Andrea Francesco

Contact