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An overview on the advancements of support vector machine models in healthcare applications: a review
R Guido, S Ferrisi, D Lofaro, D Conforti - Information, 2024 - mdpi.com
Support vector machines (SVMs) are well-known machine learning algorithms for
classification and regression applications. In the healthcare domain, they have been used …
classification and regression applications. In the healthcare domain, they have been used …
Problem formulations and solvers in linear SVM: a review
Support vector machine (SVM) is an optimal margin based classification technique in
machine learning. SVM is a binary linear classifier which has been extended to non-linear …
machine learning. SVM is a binary linear classifier which has been extended to non-linear …
Conformational ensembles of the human intrinsically disordered proteome
Intrinsically disordered proteins and regions (collectively, IDRs) are pervasive across
proteomes in all kingdoms of life, help to shape biological functions and are involved in …
proteomes in all kingdoms of life, help to shape biological functions and are involved in …
6G networks: Beyond Shannon towards semantic and goal-oriented communications
The goal of this paper is to promote the idea that including semantic and goal-oriented
aspects in future 6G networks can produce a significant leap forward in terms of system …
aspects in future 6G networks can produce a significant leap forward in terms of system …
Profiling tumor infiltrating immune cells with CIBERSORT
Tumor infiltrating leukocytes (TILs) are an integral component of the tumor microenvironment
and have been found to correlate with prognosis and response to therapy. Methods to …
and have been found to correlate with prognosis and response to therapy. Methods to …
Sampling matters in deep embedding learning
Deep embeddings answer one simple question: How similar are two images? Learning
these embeddings is the bedrock of verification, zero-shot learning, and visual search. The …
these embeddings is the bedrock of verification, zero-shot learning, and visual search. The …
Systematic investigation of mitochondrial transfer between cancer cells and T cells at single-cell resolution
Mitochondria (MT) participate in most metabolic activities of mammalian cells. A near-
unidirectional mitochondrial transfer from T cells to cancer cells was recently observed to" …
unidirectional mitochondrial transfer from T cells to cancer cells was recently observed to" …
Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM
W Huang, H Liu, Y Zhang, R Mi, C Tong, W **
subsets of dendritic cells (DCs) and monocytes, but the extent of their heterogeneity and …
subsets of dendritic cells (DCs) and monocytes, but the extent of their heterogeneity and …
Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors
Affective Computing has emerged as an important field of study that aims to develop
systems that can automatically recognize emotions. Up to the present, elicitation has been …
systems that can automatically recognize emotions. Up to the present, elicitation has been …