L'IA pour tous
L'intelligence artificielle doit être au service de tous, de manière équitable. Pour y parvenir, les personnes - en particulier celles dont la voix n'est souvent pas entendue - doivent être au centre de la conception et du déploiement des systèmes d'intelligence artificielle. Grâce au développement de technologies participatives, fiables et équitables, la recherche à l'Idiap renforce les communautés d'utilisateurs et favorise la prise de décisions démocratiques et collectives. L'impact de notre travail est étendu, allant d'initiatives de science citoyenne aux projets où l'utilisation responsable de l'IA peut réellement bénéficier aux communautés.
Domaines d'expertise
#Bioinformatics&HealthInformatics
#DataScience&SocialComputing
#HumanComputerInteraction
#Imaging&ComputerVision
#MachineLearning
#NaturalLanguageProcessing
#Robotics&AutonomousSystems
#Security&Privacy
#SignalProcessing
#Speech&AudioProcessing
Ce programme contribue aux ODD des Nations-Unies suivants
Personnes
ABBET, Philip
(Senior Research and Development Engineer)
- website
ABDALLAH, Rafic
(Research Intern)
AL-DABBOUSSI, Mustapha
(AI Master Student)
- website
ALONSO DEL BARRIO, David
(Junior R&D / Research Assistant)
ALVARENGA CARDOSO, Lucas (Alexandre)
(Visitor)
AMIRI, Mahdi
(PhD Student / Research Assistant)
- website
ANNAPUREDDY, Ravinithesh Reddy
(PhD Student / Research Assistant)
- website
BEHJATI, Melika
(PhD Student / Research Assistant)
- website
BEN MAHMOUD, Imen
(Research and Development Engineer)
- website
BHATTACHARJEE, Mrinmoy
(Postdoctoral Researcher)
- website
BHATTACHARJEE, Sushil (Kumar)
(Research Associate)
- website
BITTAR, Alexandre
(PhD Student / Research Assistant)
- website
BORNET, Olivier
(Head of Research and Development Team)
- website
BROS, Victor
(PhD Student / Research Assistant)
- website
BURDISSO, Sergio (Gastón)
(R&D / Research Assistant)
CANÉVET, Olivier
(Senior Research and Development Engineer)
- website
CARRON, Daniel
(Research and Development Engineer)
- website
CHEN, Haolin
(PhD Student / Research Assistant)
- website
CLIVAZ, Guillaume
(Senior Research and Development Engineer)
- website
COLBOIS, Laurent
(PhD Student / Research Assistant)
- website
COMAN, Andrei (Catalin)
(PhD Student / Research Assistant)
- website
COPPIETERS DE GIBSON, Louise
(PhD Student / Research Assistant)
- website
COSTA BARBOSA, Lucas
(Research Intern)
DAYER, Yannick
(Research and Development Engineer)
- website
DROZ, William
(Senior Research and Development Engineer)
- website
ECABERT, Christophe
(Postdoctoral Researcher)
- website
EL HAJAL, Karl
(PhD Student / Research Assistant)
- website
EL ZEIN, Dina
(PhD Student / Research Assistant)
- website
FEHR, Fabio (James)
(PhD Student / Research Assistant)
- website
FORNAROLI, Alessandro (Filippo)
(Research Intern)
- website
GAIST, Samuel
(Senior Research and Development Engineer)
- website
GARNER, Philip
(Senior Research Scientist)
- website
GATICA-PEREZ, Daniel
(Senior Research Scientist with Academic Title)
- website
GEISSBUHLER, David
(Research Associate)
- website
GENTILHOMME, Théophile
(Senior Research and Development Engineer)
- website
GEORGE, Anjith
(Research Associate)
- website
GODI, Matthieu
(Research Intern)
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HE, Mutian
(PhD Student / Research Assistant)
- website
HENDERSON, James (Brinton)
(Senior Research Scientist)
- website
HERMANN, Enno
(Postdoctoral Researcher)
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HOU, Mingchi
(PhD Student / Research Assistant)
- website
HOVSEPYAN, Sevada
(Research Associate)
- website
HUANG, Zhuosheng
(Research Intern)
ISMAYILZADA, Mahammad
(PhD Student / Research Assistant)
- website
JIMÉNEZ DEL TORO, Oscar (Alfonso)
(Postdoctoral Researcher)
- website
JUNG, Vincent
(Research Intern)
- website
KALOGA, Yacouba
(Postdoctoral Researcher)
- website
KAYAL, Salim
(Senior Research and Development Engineer)
- website
KERNEN, Marius
(Research Intern)
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KHALIL, Driss
(Junior R&D / Research Assistant)
- website
KODRASI, Ina
(Research Scientist)
- website
KOMATY, Alain
(Research Associate)
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KORSHUNOV, Pavel
(Research Associate)
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KOTWAL, Ketan
(Research Associate)
- website
KRIVOKUĆA HAHN, Vedrana
(Research Associate)
- website
KULKARNI, Ajinkya (Vijay)
(Postdoctoral Researcher)
- website
KUMAR, Shashi
(PhD Student / Research Assistant)
- website
MACEIRAS, Jérémy
(Research and Development Engineer)
- website
MADIKERI, Srikanth
(Research Associate)
- website
MAGIMAI DOSS, Mathew
(Senior Research Scientist)
- website
MARCEL, Christine
(Senior Research and Development Engineer)
- website
MARCEL, Sébastien
(Senior Research Scientist with Academic Title)
- website
MAYORAZ, André
(Research and Development Engineer)
- website
MICHEL, Samuel
(Research and Development Engineer)
- website
MOHAMMADI, Amir
(Research Associate)
- website
MOSTAANI, Zohreh
(PhD Student / Research Assistant)
- website
MOTLICEK, Petr
(Senior Research Scientist)
- website
MURALIDHAR, Skanda
(Research Associate)
- website
MUSCAT, Amanda
(Research Intern)
- website
NADERI, Maryam
(AI Master Student)
- website
NANCHEN, Alexandre
(Senior Research and Development Engineer)
- website
NEUGBER, Samuel
(R&D / Research Assistant)
- website
OTROSHI SHAHREZA, Hatef
(PhD Student / Research Assistant)
- website
PANNATIER, Yvan
(Research Intern)
PARRA ESPINOZA, Mario
(Research Intern)
- website
PETERSEN, Molly (Rose)
(PhD Student / Research Assistant)
- website
POLAC, Magdalena
(R&D / Research Assistant)
- website
PRASAD, Amrutha
(PhD Student / Research Assistant)
- website
PUROHIT, Tilak
(PhD Student / Research Assistant)
- website
RAHIMI NOSHANAGH, Parsa
(PhD Student / Research Assistant)
- website
RANGAPPA, Pradeep
(Postdoctoral Researcher)
- website
RAZEGHI, Behrooz
(Postdoctoral Researcher)
- website
RUVOLO, Barbara
(Research Intern)
- website
SANCHEZ LARA, Alejandra
(Research Intern)
- website
SANCHEZ-CORTES, Dairazalia
(Postdoctoral Researcher)
- website
SARKAR, Eklavya
(PhD Student / Research Assistant)
- website
SELLIAH, Janani
(Research Assistant)
- website
SHEIKH, Shakeel Ahmad
(Postdoctoral Researcher)
- website
TARIGOPULA, Neha
(PhD Student / Research Assistant)
- website
THORBECKE (NIGMATULINA), Iuliia
(PhD Student / Research Assistant)
- website
TORNAY, Sandrine
(Postdoctoral Researcher)
- website
ULUCAN, Ibrahim
(Research Intern)
- website
UNNERVIK, Alex
(PhD Student / Research Assistant)
- website
VAN DER PLAS, Lonneke
(Research Scientist with Academic Title)
- website
VÁSQUEZ RODRÍGUEZ, Laura
(Postdoctoral Researcher)
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VERZAT, Colombine
(Research and Development Engineer)
- website
VIDAL, Maxime
(Research Assistant)
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VIDIT, Vidit
(Postdoctoral Researcher)
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VILLATORO TELLO, Esaú
(Research Associate)
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VLASENKO, Bogdan
(Research Associate)
- website
WANG, Zihao
(Research Intern)
ZANGGER, Alicia
(Research and Development Engineer)
- website
ZULUAGA GOMEZ, Juan Pablo
(PhD Student / Research Assistant)
- website
Publications choisies
Generalization and Personalization of Passive Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries, L. Meegahapola, W. Droz, P. Kun, A. de Gotzen, C. Nutakki, S. Diwakar, S. Ruiz Correa, D. Song, H. Xu, M. Bi-doglia, G. Gaskell, A. Chagnaa, A. Ganbold, T. Zundui, C. Caprini, D. Miorandi, A. Hume. In Proc. of the ACM on Interactive, Mobile, Wearable, and Ubiquitous Tech-nologies (PACM IMWUT), 6(4), pp. 1-32, Dec. 2022.
A multidisciplinary approach with a large international team to quantify the perfor-mance of inference models for real-life smartphone sensor data, investigating coun-try-specific, country-agnostic, and multi-country approaches. This work is an exam-ple of progress towards the development of diversity-aware algorithms for people in eight countries in Europe, Latin America, and Asia, and received an ACM IMWUT Distinguished Paper Award in 2023.
Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese, Kurt Micallef, Albert Gatt, Marc Tanti, Lonneke van der Plas and Claudia Borg, in Proceedings of the workshop on Deep Learning for Low-Resource NLP, 2022.
Technological tools are missing for many languages in the world. This paper com-pares methods for creating language technologies for a language that has limited resources: Maltese. We also present a newly created collection of texts for Maltese, that results in state-of-the-art performance on several language tasks, despite the fact that the new collection of text is much smaller than those typically used for high-resourced languages.
Towards Accessible Sign Language Learning and Assessment, Neha Tarigopula, San-drine Tornay, Skanda Muralidhar, Mathew Magimai-Doss, ACM International Con-ference on Multimodal Interaction, 2022.
Sign language recognition benefits from depth information provided by sensors like Kinect. To scale this up, we need to reduce the dependency on such sensors, which are not accessible to everybody, and develop webcam-based solutions. This paper in-vestigates sign language recognition and assessment in 2D space. Experiments show that, while loss of depth information leads to drops in recognition performance, high performance of sign language assessment can still be obtained.
Projets choisis
AI4MEDIA, 2020-2024, H2020, GATICA-PEREZ: A EUROPEAN EXCELLENCE CENTRE FOR MEDIA, SOCIETY AND DEMOCRACY
This project aims to deliver core AI advances and training to serve the media sector, while ensuring that European values of ethical and trustworthy AI are embedded in future deployments. In particular, we study phenomena related to European local news, with emphasis on human-centered AI methods to understand both local news content and local user perceptions.
UNIDIVE, 2022-2026, COST ACTION, VAN DER PLAS: UNIVERSALITY, DIVERSITY AND IDIOSYNCRASY IN LANGUAGE TECHNOLOGY
Recognizing that progress in natural language processing (NLP) needs to account for and foster language diversity, this network aims to provide theoretical models and practical advances about language universality and diversity, including language resources and tools covering a large variety of language phenomena in many languages, including those who are currently low-resourced and endangered.
FAIRMI, 2023-2026, SNSF, ANJOS: MACHINE LEARNING FAIRNESS WITH APPLICATION TO MEDICAL IMAGES
In medical imaging, the use of machine learning (ML) models to support large scale screening and diagnosis has substantially increased. However, the study of demographic bias of ML-based medical imaging remains unaddressed. This project will advance the state-of-the-art in ML fairness applied to the design of image-based computer-aided diagnosis systems.
Liste des tous les projets
WeNet, 2019-2023, H2020, Gatica-Perez
Smartphone sensing research involving university students in the Global South
AI4Media, 2020-2024, H2020, Gatica-Perez
Participatory approaches for human-centered AI understanding of local Swiss news
ICARUS, 2020-2024, H2020, Gatica-Perez
Design thinking approaches for urban security solutions in European cities
ELIAS, 2023-2027, Horizon Europe, Gatica-Perez
Machine learning for urban local development
SEM24, 2023-2025, Innosuisse, Van der Plas
Multilingual language technologies
IICT, 2022-2026, Innosuisse, Magimai Doss
Sign language and spoken subtitling technology to overcome language barriers
NCCR Evolang, 2020-2024, SNSF, Magimai Doss
Speech technologies for children speech
SMILE-II, 2021-2024, SNSF Sinergia, Magimai Doss
Technologies for Deaf/Hard of Hearing people
CollabCloud, 2022-2023, Loterie Romande & Idiap, Anjos
Collaborative research cloud Infrastructure powering discovery and exchange
FairMI, 2023-2026, SNSF, Anjos
Bias analysis and mitigation in image-based computer-aided diagnosis
SAFER, 2022-2024, Hasler, Marcel
Bias mitigation in facial recognition