Artificial Intelligence

The PPI datasets were collected from four different sources: DIP, MIPS, Gavin, and Krogan. All self-interactions and repeated interactions were filtered.  The essential proteins were collected from the following four different databases: MIPS,SGD,DEGand SGDP (http://www.sequence.stanford.edu/group/). Gene expression data were downloaded from the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/) with accession number GSE3431.

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  • Artificial Intelligence
  • Last Updated On: 
    Mon, 01/13/2020 - 04:36

    A Chinese dataset for table-to-text generation named WIKIBIOCN which inculeds 33,244 biography sentences with related tables from Chinese Wikipedia (July 2018).

    The dataset is divided into training set (30,000), verification set (1000) and test set (2,244).

     

     

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  • Artificial Intelligence
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    Thu, 01/09/2020 - 05:10

    We conduct experiments with the datasets of SemEval 2014 task4 to evaluate our model, the SemEval 2014 datasets consist of reviews in two categories: Restaurant and Laptop, and the reviews contains three labels of sentiment polarity: {positive, negative, neutral}

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  • Artificial Intelligence
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    Thu, 01/09/2020 - 00:13

    We crawled large amounts of biomedical articles from PubMed for the keyphrase extraction system evaluation.

    The articles, that consist of title, abstract and keyphrases provided by the authors, are used for the experiments.

    In our paper, cancer-related biomedical articles are selected.

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  • Artificial Intelligence
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    Sat, 02/22/2020 - 02:12

    Since there is no image-based personality dataset, we used the ChaLearn dataset for creating a new dataset that met the characteristics we required for this work, i.e., selfie images where only one person appears and his face is visible, labeled with the person's apparent personality in the photo.

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  • Artificial Intelligence
  • Last Updated On: 
    Thu, 01/02/2020 - 17:47

    These datasets are used to detect Intrusions in Controller Area Network (CAN) bus. Intrusions are detected using various Machine Learning and Deep Learning algorithms.

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  • Artificial Intelligence
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    Mon, 12/30/2019 - 00:26

    With the development of audio synthesis techniques, the most state-of-art synthesis methods are based on  Generative Adversarial Network(GAN)。 To imporve the detection algorithm to discriminate genuine audio from spoofed audio produced using GAN based audio synthesis  shcemes, we make this public dataset.

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  • Artificial Intelligence
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    Wed, 02/26/2020 - 23:30

    Long-term 3DC Dataset as described in 

    Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition

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  • Artificial Intelligence
  • Last Updated On: 
    Sat, 12/21/2019 - 14:57

    ArPC is an Arabic paraphrase identification corpus. It consists of 1331 sentence pairs along with their binary score that indicates weather the pairs are paraphrase or not. The corpus has been manually annotated by three Arabic native speakers.

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  • Artificial Intelligence
  • Last Updated On: 
    Sat, 12/21/2019 - 07:07

    Research on damage detection of road surfaces has been an active area of research, but most studies have focused so far on the detection of the presence of damages. However, in real-world scenarios, road managers need to clearly understand the type of damage and its extent in order to take effective action in advance or to allocate the necessary resources. Moreover, currently there are few uniform and openly available road damage datasets, leading to a lack of a common benchmark for road damage detection.

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  • Artificial Intelligence
  • Last Updated On: 
    Tue, 01/21/2020 - 14:54

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