1,720,991 research outputs found
Windspeed Dataset
No full textThe Windspeed dataset is constructed using data from ECMWF’s ERA5 over a region of west Kazakhstan (lat 46-54, long 46-54). Hourly values for wind (u and v components), temperature (at 2m) and surface pressure were collected between 1st January 2020 to 31st Dec 2024.
The task is to predict the average wind speed in the central 50% of the region from an input of 6 hours of temperature and pressure data covering the whole region. Each input data point has shape [12, 32, 32] (6 hours x 2 variables for the channels, and 32x32 pixels forming the spatial region). The label is the mapped onto a fine-grained version of the Beaufort wind scale (120 instead of 12 classes). To avoid classes with no samples, we filter out data to only include samples where the label sits between class index 20 and 40 (corresponding to the range 2.36 - 6.69 m/s).
Data from 2020-2022 form the training set, while 2023 is the validation set and 2024 the test set
Cryptic dataset
No full textThe Cryptic dataset is constructed using from A Dataset of Cryptic Crossword Clues by George Ho (available at https://cryptics.georgeho.org)
This database consists of cryptic clues from multiple different sources, incuding the New York Times, The Guardian, The Times and The Hindu.
Each row in the database stores the clue (normally a cryptic sentence or two along with the length of the answer), the answer (normally a word or two), the definition (one or a few words, almost always either the start of the clue or the end).
We have extracted each clue that consists of 6 words from the database, and encoded the words with the BERT encoder to 6 word embeddings of dimension 768.
The task is to determine whether the cryptic clue contains the definition at the beginning or end of the clue. This makes a binary classification problem. The labels are as follows {beginning: 1, end: 0}.
The shape of the input data is (n, 1, 6, 768), and the labels are binary (0 or 1).
The extracted data is split into three sets, the test set consists of clues from The Times, the validation set from The Hindu, and the train set from all other sources
CINIC-10 Is Not ImageNet or CIFAR-10
No full textCINIC-10 is an augmented extension of CIFAR-10. It contains the images from CIFAR-10 (60,000 images, 32x32 RGB pixels) and a selection of ImageNet database images (210,000 images downsampled to 32x32). It was compiled as a 'bridge' between CIFAR-10 and ImageNet, for benchmarking machine learning applications. It is split into three equal subsets - train, validation, and test - each of which contain 90,000 images.Darlow, Luke N; Crowley, Elliot J; Antoniou, Antreas; Storkey, Amos.(2018). CINIC-10 Is Not ImageNet or CIFAR-10, [dataset]. University of Edinburgh. https://doi.org/10.7488/ds/2448
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
- …
