Search Results - "PeerJ. Computer science"

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation by Chicco, Davide, Warrens, Matthijs J, Jurman, Giuseppe

“…Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other…”
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Probabilistic programming in Python using PyMC3 by Salvatier, John, Wiecki, Thomas V., Fonnesbeck, Christopher

“…Probabilistic programming allows for automatic Bayesian inference on user-defined probabilistic models. Recent advances in Markov chain Monte Carlo (MCMC)…”
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RIdeogram : drawing SVG graphics to visualize and map genome-wide data on the idiograms by Hao, Zhaodong, Lv, Dekang, Ge, Ying, Shi, Jisen, Weijers, Dolf, Yu, Guangchuang, Chen, Jinhui

“…Owing to the rapid advances in DNA sequencing technologies, whole genome from more and more species are becoming available at increasing pace. For whole-genome…”
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The multi-modal fusion in visual question answering: a review of attention mechanisms by Lu, Siyu, Liu, Mingzhe, Yin, Lirong, Yin, Zhengtong, Liu, Xuan, Zheng, Wenfeng

“…Visual Question Answering (VQA) is a significant cross-disciplinary issue in the fields of computer vision and natural language processing that requires a…”
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Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective by Aletras, Nikolaos, Tsarapatsanis, Dimitrios, Preotiuc-Pietro, Daniel, Lampos, Vasileios

“…Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns…”
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OncoLnc: linking TCGA survival data to mRNAs, miRNAs, and lncRNAs by Anaya, Jordan

“…OncoLnc is a tool for interactively exploring survival correlations, and for downloading clinical data coupled to expression data for mRNAs, miRNAs, or long…”
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Bracken: estimating species abundance in metagenomics data by Lu, Jennifer, Breitwieser, Florian P, Thielen, Peter, Salzberg, Steven L

“…Metagenomic experiments attempt to characterize microbial communities using high-throughput DNA sequencing. Identification of the microorganisms in a sample…”
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PyMC: a modern, and comprehensive probabilistic programming framework in Python by Abril-Pla, Oriol, Andreani, Virgile, Carroll, Colin, Dong, Larry, Fonnesbeck, Christopher J, Kochurov, Maxim, Kumar, Ravin, Lao, Junpeng, Luhmann, Christian C, Martin, Osvaldo A, Osthege, Michael, Vieira, Ricardo, Wiecki, Thomas, Zinkov, Robert

“…PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable…”
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Joint embedding VQA model based on dynamic word vector by Ma, Zhiyang, Zheng, Wenfeng, Chen, Xiaobing, Yin, Lirong

“…The existing joint embedding Visual Question Answering models use different combinations of image characterization, text characterization and feature fusion…”
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Research on image classification method based on improved multi-scale relational network by Zheng, Wenfeng, Liu, Xiangjun, Yin, Lirong

“…Small sample learning aims to learn information about object categories from a single or a few training samples. This learning style is crucial for deep…”
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The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations by Kaddoura, Sanaa, Al Husseiny, Fatima

“…Metaverse is invading the educational sector and will change human-computer interaction techniques. Prominent technology executives are developing novel ways…”
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Gender differences and bias in open source: pull request acceptance of women versus men by Terrell, Josh, Kofink, Andrew, Middleton, Justin, Rainear, Clarissa, Murphy-Hill, Emerson, Parnin, Chris, Stallings, Jon

“…Biases against women in the workplace have been documented in a variety of studies. This paper presents a large scale study on gender bias, where we compare…”
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Self-supervised learning methods and applications in medical imaging analysis: a survey by Shurrab, Saeed, Duwairi, Rehab

“…The scarcity of high-quality annotated medical imaging datasets is a major problem that collides with machine learning applications in the field of medical…”
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A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework by Bari, Bifta Sama, Islam, Md Nahidul, Rashid, Mamunur, Hasan, Md Jahid, Razman, Mohd Azraai Mohd, Musa, Rabiu Muazu, Ab Nasir, Ahmad Fakhri, P P Abdul Majeed, Anwar

“…The rice leaves related diseases often pose threats to the sustainable production of rice affecting many farmers around the world. Early diagnosis and…”
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Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network by Zheng, Wenfeng, Yin, Lirong

“…The whole sentence representation reasoning process simultaneously comprises a sentence representation module and a semantic reasoning module. This paper…”
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Comparison and benchmark of name-to-gender inference services by Santamaría, Lucía, Mihaljević, Helena

“…The increased interest in analyzing and explaining gender inequalities in tech, media, and academia highlights the need for accurate inference methods to…”
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Lightweight transformer image feature extraction network by Zheng, Wenfeng, Lu, Siyu, Yang, Youshuai, Yin, Zhengtong, Yin, Lirong

“…In recent years, the image feature extraction method based on Transformer has become a research hotspot. However, when using Transformer for image feature…”
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Blockchain and smart contract for IoT enabled smart agriculture by Pranto, Tahmid Hasan, Noman, Abdulla All, Mahmud, Atik, Haque, Akm Bahalul

“…The agricultural sector is still lagging behind from all other sectors in terms of using the newest technologies. For production, the latest machines are being…”
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A systematic review on hand gesture recognition techniques, challenges and applications by Yasen, Mais, Jusoh, Shaidah

“…With the development of today's technology, and as humans tend to naturally use hand gestures in their communication process to clarify their intentions, hand…”
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SymPy: symbolic computing in Python by Meurer, Aaron, Smith, Christopher P, Paprocki, Mateusz, Certík, Ondrej, Kirpichev, Sergey B, Rocklin, Matthew, Kumar, AMiT, Ivanov, Sergiu, Moore, Jason K, Singh, Sartaj, Rathnayake, Thilina, Vig, Sean, Granger, Brian E, Muller, Richard P, Bonazzi, Francesco, Gupta, Harsh, Vats, Shivam, Johansson, Fredrik, Pedregosa, Fabian, Curry, Matthew J, Terrel, Andy R, Roucka, Stepán, Saboo, Ashutosh, Fernando, Isuru, Kulal, Sumith, Cimrman, Robert, Scopatz, Anthony

“…SymPy is an open source computer algebra system written in pure Python. It is built with a focus on extensibility and ease of use, through both interactive and…”
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