Riikka Huusari

14 papers A* 2A 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Scaling up drug combination surface prediction.
Briefings Bioinform.
Riikka Huusari, Tianduanyi Wang, Sándor Szedmák, Diogo Dias, Tero Aittokallio, Juho Rousu
2024 J jnl
Scalable variable selection for two-view learning tasks with projection operators.
Mach. Learn.
Sándor Szedmák, Riikka Huusari, Tat Hong Duong Le, Juho Rousu
2023 J jnl
Scalable variable selection for two-view learning tasks with projection operators.
CoRR
Sándor Szedmák, Riikka Huusari, Tat Hong Duong Le, Juho Rousu
2022 J jnl
Cross-View kernel transfer.
Pattern Recognit.
Riikka Huusari, Cécile Capponi, Paul Villoutreix, Hachem Kadri
2022 J jnl
Toolbox for Multimodal Learn (scikit-multimodallearn).
J. Mach. Learn. Res.
Dominique Benielli, Baptiste Bauvin, Sokol Koço, Riikka Huusari, Cécile Capponi, Hachem Kadri, François Laviolette
2021 J jnl
Entangled Kernels - Beyond Separability.
CoRR
Riikka Huusari, Hachem Kadri
2021 J jnl
Entangled Kernels - Beyond Separability.
J. Mach. Learn. Res.
Riikka Huusari, Hachem Kadri
2021 J jnl
Learning primal-dual sparse kernel machines.
CoRR
Riikka Huusari, Sahely Bhadra, Cécile Capponi, Hachem Kadri, Juho Rousu
2020 A* conf
Partial Trace Regression and Low-Rank Kraus Decomposition.
ICML
Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola
2020 J jnl
Partial Trace Regression and Low-Rank Kraus Decomposition.
CoRR
Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola
2019 A* conf
Entangled Kernels.
IJCAI
Riikka Huusari, Hachem Kadri
2019 J jnl
Kernel transfer over multiple views for missing data completion.
CoRR
Riikka Huusari, Cécile Capponi, Paul Villoutreix, Hachem Kadri
2018 A conf
Multi-view Metric Learning in Vector-valued Kernel Spaces.
AISTATS
Riikka Huusari, Hachem Kadri, Cécile Capponi
2018 J jnl
Multi-view Metric Learning in Vector-valued Kernel Spaces.
CoRR
Riikka Huusari, Hachem Kadri, Cécile Capponi