1 citations · 1 across the 1 of their papers we have counts for
4 papers
On Convex Clustering Solutions
Canh Hao Nguyen, Hiroshi Mamitsuka
Convex clustering is an attractive clustering algorithm with favorable properties such as efficiency and optimality owing to its convex formulation. It is thought to generalize bot…
DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE prediction
Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka
Detecting predictive biomarkers from multi-omics data is important for precision medicine, to improve diagnostics of complex diseases and for better treatments. This needs substant…
Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka +1
In matrix factorization, available graph side-information may not be well suited for the matrix completion problem, having edges that disagree with the latent-feature relations lea…
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
Ronghui You, Zihan Zhang, Ziye Wang +3
Extreme multi-label text classification (XMTC) is an important problem in the era of big data, for tagging a given text with the most relevant multiple labels from an extremely lar…