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Showing results for E. github
Your search for E. Githumbi retrieved no results
fastp: an ultra-fast all-in-one FASTQ preprocessor.
Chen S, Zhou Y, Chen Y, Gu J. Chen S, et al. Bioinformatics. 2018 Sep 1;34(17):i884-i890. doi: 10.1093/bioinformatics/bty560. Bioinformatics. 2018. PMID: 30423086 Free PMC article.
These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. ...AVAILABILITY AND IMPLEMENTATION: The open-source code and corresponding instructions are available …
These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and pro …
Sharing code.
Kubilius J. Kubilius J. Iperception. 2014 Feb 5;5(1):75-8. doi: 10.1068/i004ir. eCollection 2014. Iperception. 2014. PMID: 25165519 Free PMC article. Review.
In this review I describe and compare two popular code-sharing utilities, GitHub and Open Science Framework (OSF). GitHub is a mature, industry-standard tool but lacks focus towards researchers. ...
In this review I describe and compare two popular code-sharing utilities, GitHub and Open Science Framework (OSF). GitHub is a …
Spot-Adaptive Knowledge Distillation.
Song J, Chen Y, Ye J, Song M. Song J, et al. IEEE Trans Image Process. 2022;31:3359-3370. doi: 10.1109/TIP.2022.3170728. Epub 2022 May 9. IEEE Trans Image Process. 2022. PMID: 35503832
The typical way of conducting knowledge distillation is to train the student network under the supervision of the teacher network to harness the knowledge at one or multiple spots (i.e., layers) in the teacher network. The distillation spots, once specified, will not chang …
The typical way of conducting knowledge distillation is to train the student network under the supervision of the teacher network to harness …
Mask R-CNN.
He K, Gkioxari G, Dollar P, Girshick R. He K, et al. IEEE Trans Pattern Anal Mach Intell. 2020 Feb;42(2):386-397. doi: 10.1109/TPAMI.2018.2844175. Epub 2018 Jun 5. IEEE Trans Pattern Anal Mach Intell. 2020. PMID: 29994331
Mask R-CNN is simple to train and adds only a small overhead to Faster R-CNN, running at 5 fps. Moreover, Mask R-CNN is easy to generalize to other tasks, e.g., allowing us to estimate human poses in the same framework. ...We hope our simple and effective approach will ser …
Mask R-CNN is simple to train and adds only a small overhead to Faster R-CNN, running at 5 fps. Moreover, Mask R-CNN is easy to generalize t …
Revisiting Multi-Codebook Quantization.
Zhu X, Song J, Gao L, Gu X, Shen HT. Zhu X, et al. IEEE Trans Image Process. 2023;32:2399-2412. doi: 10.1109/TIP.2023.3261755. Epub 2023 May 1. IEEE Trans Image Process. 2023. PMID: 37015122
However, finding the optimal solution to MCQ is proved to be NP-hard due to its encoding process, i.e., converting an input vector to a binary code. To tackle this, researchers apply constraints to it to find near-optimal solutions or employ heuristic algorithms that are s …
However, finding the optimal solution to MCQ is proved to be NP-hard due to its encoding process, i.e., converting an input vector to …
Predicting antimicrobial resistance in E. coli with discriminative position fused deep learning classifier.
Jin C, Jia C, Hu W, Xu H, Shen Y, Yue M. Jin C, et al. Comput Struct Biotechnol J. 2023 Dec 29;23:559-565. doi: 10.1016/j.csbj.2023.12.041. eCollection 2024 Dec. Comput Struct Biotechnol J. 2023. PMID: 38274998 Free PMC article.
Using machine learning (ML) to predict E. coli AMR is a more efficient method than traditional laboratory testing. ...Our study demonstrates that the discriminative positional colors of Chaos Game Representation (CGR) images can selectively influence and highlight genome r …
Using machine learning (ML) to predict E. coli AMR is a more efficient method than traditional laboratory testing. ...Our study demon …
Disambiguating Visual Verbs.
Gella S, Keller F, Lapata M. Gella S, et al. IEEE Trans Pattern Anal Mach Intell. 2019 Feb;41(2):311-322. doi: 10.1109/TPAMI.2017.2786699. Epub 2017 Dec 27. IEEE Trans Pattern Anal Mach Intell. 2019. PMID: 29990137
We also consider a scenario in which we must detect the verb depicted in an image prior to predicting its sense (i.e., there is no verbal information associated with the image). We find that textual embeddings perform well when gold-standard annotations (object labels and …
We also consider a scenario in which we must detect the verb depicted in an image prior to predicting its sense (i.e., there is no ve …
E (3)Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection.
Wang S, Zeng Y, Yu G, Cheng Z, Liu X, Zhou S, Zhu E, Kloft M, Yin J, Liao Q. Wang S, et al. IEEE Trans Pattern Anal Mach Intell. 2023 Mar;45(3):2952-2969. doi: 10.1109/TPAMI.2022.3188763. Epub 2023 Feb 3. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 35793301
Finally, in addition to the discriminative learning paradigm above, we also explore the solutions that exploit other learning paradigms (i.e., generative learning and contrastive learning) to introduce self-supervision for E (3)Outlier. ...Demo codes are available a …
Finally, in addition to the discriminative learning paradigm above, we also explore the solutions that exploit other learning paradigms (i. …
BELB: a biomedical entity linking benchmark.
Garda S, Weber-Genzel L, Martin R, Leser U. Garda S, et al. Bioinformatics. 2023 Nov 1;39(11):btad698. doi: 10.1093/bioinformatics/btad698. Bioinformatics. 2023. PMID: 37975879 Free PMC article. Review.
Furthermore, neural systems are tested primarily on instances linked to the broad coverage KB UMLS, leaving their performance to more specialized ones, e.g. genes or variants, understudied. RESULTS: We therefore developed BELB, a biomedical entity linking benchmark, provid …
Furthermore, neural systems are tested primarily on instances linked to the broad coverage KB UMLS, leaving their performance to more specia …
Tensor-on-tensor regression.
Lock EF. Lock EF. J Comput Graph Stat. 2018;27(3):638-647. doi: 10.1080/10618600.2017.1401544. Epub 2018 Jun 6. J Comput Graph Stat. 2018. PMID: 30337798 Free PMC article.
We propose a framework for the linear prediction of a multi-way array (i.e., a tensor) from another multi-way array of arbitrary dimension, using the contracted tensor product. ...We illustrate the approach with an application to facial image data. An R package is availabl …
We propose a framework for the linear prediction of a multi-way array (i.e., a tensor) from another multi-way array of arbitrary dime …
2,533 results