Multi-view Metric Learning in Vector-valued Kernel Spaces. - Riikka Huusari; Hachem Kadri; Cécile Capponi (AISTATS, 2018)

Entangled Kernels. - Riikka Huusari; Hachem Kadri (IJCAI, 2019)

Kernel transfer over multiple views for missing data completion. - Riikka Huusari; Cécile Capponi; Paul Villoutreix; Hachem Kadri (CoRR, 2019)

Partial Trace Regression and Low-Rank Kraus Decomposition. - Hachem Kadri; Stéphane Ayache; Riikka Huusari; Alain Rakotomamonjy; Liva Ralaivola (ICML, 2020)

Learning primal-dual sparse kernel machines. - Riikka Huusari; Sahely Bhadra; Cécile Capponi; Hachem Kadri; Juho Rousu (CoRR, 2021)

Entangled Kernels - Beyond Separability. - Riikka Huusari; Hachem Kadri (J. Mach. Learn. Res., 2021)

Toolbox for Multimodal Learn (scikit-multimodallearn). - Dominique Benielli; Baptiste Bauvin; Sokol Koço; Riikka Huusari; Cécile Capponi; Hachem Kadri; François Laviolette (J. Mach. Learn. Res., 2022)

Cross-View kernel transfer. - Riikka Huusari; Cécile Capponi; Paul Villoutreix; Hachem Kadri (Pattern Recognit., 2022)

Scalable variable selection for two-view learning tasks with projection operators. - Sándor Szedmák; Riikka Huusari; Tat Hong Duong Le; Juho Rousu (Mach. Learn., 2024)

Scaling up drug combination surface prediction. - Riikka Huusari; Tianduanyi Wang; Sándor Szedmák; Diogo Dias; Tero Aittokallio; Juho Rousu (Briefings Bioinform., 2025)