Tag : Embedding

AI/ML

A new Graph Gaussian embedding method for analyzing the effects of cognitive training.

Newsemia
Related Articles A new Graph Gaussian embedding method for analyzing the effects of cognitive training. PLoS Comput Biol. 2020 Sep 17;16(9):e1008186 Authors: Xu M, Wang...
AI/ML

ACEP: improving antimicrobial peptides recognition through automatic feature fusion and amino acid embedding.

Newsemia
Related Articles ACEP: improving antimicrobial peptides recognition through automatic feature fusion and amino acid embedding. BMC Genomics. 2020 Aug 28;21(1):597 Authors: Fu H, Cao Z,...
AI/ML

CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction.

Newsemia
CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction. Artif Intell Med. 2020 Jul;107:101915 Authors: Li Y, Zhu Z, Wu H, Ding S, Zhao...
AI/ML

Identifying critical nodes in temporal networks by network embedding.

Newsemia
Related Articles Identifying critical nodes in temporal networks by network embedding. Sci Rep. 2020 Jul 27;10(1):12494 Authors: Yu EY, Fu Y, Chen X, Xie M,...
AI/ML

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. (arXiv:2006.13365v1 [cs.LG])

Newsemia
The heterogeneity in recently published knowledge graph embedding models’ implementations, training, and evaluation has made fair and thorough comparisons difficult. In order to assess the...
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Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data

Newsemia
Chung, MWH; Tissot, H; (2020) Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data. Presented at: UNSPECIFIED. (In...
AI/ML

Deep graph embedding for prioritizing synergistic anticancer drug combinations.

Newsemia
Related Articles Deep graph embedding for prioritizing synergistic anticancer drug combinations. Comput Struct Biotechnol J. 2020;18:427-438 Authors: Jiang P, Huang S, Fu Z, Sun Z,...
AI/ML

Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data.

Newsemia
Related Articles Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data. Nat Commun. 2020 Mar 03;11(1):1173 Authors: Ashoor H, Chen X,...
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Exponential Family Estimation via Adversarial Dynamics Embedding

Newsemia
Dai, B; Liu, Z; Dai, H; He, N; Gretton, A; Le, S; Schurmaans, D; (2019) Exponential Family Estimation via Adversarial Dynamics Embedding. In: Wallach, H...
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Learning a Functional Grammar of Protein Domains using Natural Language Word Embedding Techniques

Newsemia
Buchan, DW; Jones, DT; (2019) Learning a Functional Grammar of Protein Domains using Natural Language Word Embedding Techniques. Proteins 10.1002/prot.25842 . (In press). Source link...
AI/ML

Adversarially Learned Total Variability Embedding for Speaker Recognition with Random Digit Strings.

Newsemia
Related Articles Adversarially Learned Total Variability Embedding for Speaker Recognition with Random Digit Strings. Sensors (Basel). 2019 Oct 30;19(21): Authors: Kang WH, Kim NS Abstract...
AI/ML

Learning a Functional Grammar of Protein Domains using Natural Language Word Embedding Techniques.

Newsemia
Related Articles Learning a Functional Grammar of Protein Domains using Natural Language Word Embedding Techniques. Proteins. 2019 Nov 08;: Authors: Buchan DW, Jones DT Abstract...

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