4 papers · 1 filter
Conjunction Subspaces Test for Conformal and Selective Classification
Zengyou He, Zerun Li, Junjie Dong +3
In this paper, we present a new classifier, which integrates significance testing results over different random subspaces to yield consensus p-values for quantifying the uncertaint…
Interpretable Clustering: A Survey
Lianyu Hu, Mudi Jiang, Junjie Dong +2
In recent years, much of the research on clustering algorithms has primarily focused on enhancing their accuracy and efficiency, frequently at the expense of interpretability. Howe…
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification
Junjie Dong, Mudi Jiang, Lianyu Hu +1
Sequence classification has numerous applications in various fields. Despite extensive studies in the last decades, many challenges still exist, particularly in pattern-based metho…
Interpretable Sequence Clustering
Junjie Dong, Xinyi Yang, Mudi Jiang +2
Categorical sequence clustering plays a crucial role in various fields, but the lack of interpretability in cluster assignments poses significant challenges. Sequences inherently l…