Set (abstract data type) ≈ Set (abstract data type)
View article: Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition Open
Actualmente diversas investigaciones se han enfocado en analizar a partir de videos de alta velocidad, características de las descargas eléctricas atmosféricas con el fin de adquirir mejor comprensión del fenómeno, que conlleva entre otros…
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Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks Open
Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs. However, for many tasks, paired training d…
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STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets Open
Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information on protein-protein …
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A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper) Open
Traffic congestion is one of the growing urban problem with associated problems like fuel wastage, loss of lives, and slow productivity. The existing traffic system uses programming logic control (PLC) with round-robin scheduling algorithm…
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Enrichr: a comprehensive gene set enrichment analysis web server 2016 update Open
Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of …
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deepTools2: a next generation web server for deep-sequencing data analysis Open
We present an update to our Galaxy-based web server for processing and visualizing deeply sequenced data. Its core tool set, deepTools, allows users to perform complete bioinformatic workflows ranging from quality controls and normalizatio…
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformer Open
Transfer learning, where a model is first pre-trained on a data-rich task\nbefore being fine-tuned on a downstream task, has emerged as a powerful\ntechnique in natural language processing (NLP). The effectiveness of transfer\nlearning has…
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UniProt: the Universal Protein Knowledgebase in 2023 Open
The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional information. In this publication we describe enhancements made to our data…
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Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Open
We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per category. The training set has 60,000 images and the test set has 10,000 images. Fashion-MNIS…
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Learning Transferable Visual Models From Natural Language Supervision Open
State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories. This restricted form of supervision limits their generality and usability since additional labeled data is needed to specify an…
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The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research Open
Reproducible science requires transparent reporting. The ARRIVE guidelines (Animal Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve the reporting of animal research. They consist of a checklist of in…
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Kaldi Speech Recognition Toolkit Open
—We describe the design of Kaldi, a free, open-source toolkit for speech recognition research. Kaldi provides a speech recognition system based on finite-state transducers (using the freely available OpenFst), together with detailed docume…
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Online Learning: A Panacea in the Time of COVID-19 Crisis Open
Educational institutions (schools, colleges, and universities) in India are currently based only on traditional methods of learning, that is, they follow the traditional set up of face-to-face lectures in a classroom. Although many academi…
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ShinyGO: a graphical gene-set enrichment tool for animals and plants Open
Motivation Gene lists are routinely produced from various omic studies. Enrichment analysis can link these gene lists with underlying molecular pathways and functional categories such as gene ontology (GO) and other databases. Results To c…
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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Open
Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve very good performance at relatively low c…
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Training language models to follow instructions with human feedback Open
Making language models bigger does not inherently make them better at following a user's intent. For example, large language models can generate outputs that are untruthful, toxic, or simply not helpful to the user. In other words, these m…
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ClinVar: improving access to variant interpretations and supporting evidence Open
ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) is a freely available, public archive of human genetic variants and interpretations of their significance to disease, maintained at the National Institutes of Health. Interpretations of the c…
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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Open
Human ability to understand language is general, flexible, and robust. In contrast, most NLU models above the word level are designed for a specific task and struggle with out-of-domain data. If we aspire to develop models with understandi…
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Open
Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned on a downstream task, has emerged as a powerful technique in natural language processing (NLP). The effectiveness of transfer learning has gi…
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SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules Open
SwissTargetPrediction is a web tool, on-line since 2014, that aims to predict the most probable protein targets of small molecules. Predictions are based on the similarity principle, through reverse screening. Here, we describe the 2019 ve…
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UpSetR: an R package for the visualization of intersecting sets and their properties Open
Motivation Venn and Euler diagrams are a popular yet inadequate solution for quantitative visualization of set intersections. A scalable alternative to Venn and Euler diagrams for visualizing intersecting sets and their properties is neede…
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The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research Open
Reproducible science requires transparent reporting. The ARRIVE guidelines (Animal Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve the reporting of animal research. They consist of a checklist of in…
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SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Open
We present SpecAugment, a simple data augmentation method for speech\nrecognition. SpecAugment is applied directly to the feature inputs of a neural\nnetwork (i.e., filter bank coefficients). The augmentation policy consists of\nwarping th…
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WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs Open
WebGestalt is a popular tool for the interpretation of gene lists derived from large scale -omics studies. In the 2019 update, WebGestalt supports 12 organisms, 342 gene identifiers and 155 175 functional categories, as well as user-upload…
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Fast gene set enrichment analysis Open
Gene set enrichment analysis (GSEA) is an ubiquitously used tool for evaluating pathway enrichment in transcriptional data. Typical experimental design consists in comparing two conditions with several replicates using a differential gene …
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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Open
This article surveys and organizes research works in a new paradigm in natural language processing, which we dub “prompt-based learning.” Unlike traditional supervised learning, which trains a model to take in an input x and predict an out…
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Wide & Deep Learning for Recommender Systems Open
Generalized linear models with nonlinear feature transformations are widely used for large-scale regression and classification problems with sparse inputs. Memorization of feature interactions through a wide set of cross-product feature tr…
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<span>BORIS</span>: a free, versatile open‐source event‐logging software for video/audio coding and live observations Open
Summary Quantitative aspects of the study of animal and human behaviour are increasingly relevant to test hypotheses and find empirical support for them. At the same time, photo and video cameras can store a large number of video recording…
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MapReduce: Simplified Data Processing on Large Cluster Open
- MapReduce is a data processing approach, where a single machine acts as a master, assigning map/reduce tasks to all the other machines attached in the cluster. Technically, it could be considered as a programming model, which is applied …
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NanoPack: visualizing and processing long-read sequencing data Open
Summary Here we describe NanoPack, a set of tools developed for visualization and processing of long-read sequencing data from Oxford Nanopore Technologies and Pacific Biosciences. Availability and implementation The NanoPack tools are wri…