Artificial Intelligence

Advances in computer vision and deep learning are enabling automated environment recognition systems for robotic leg prostheses and exoskeletons. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms like convolutional neural networks to recognize the human walking environment. To address these limitations, we developed "ExoNet" - the first open-source, large-scale hierarchical database of wearable camera images (i.e., egocentric perception) of real-world walking environments.

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The dataset is used to detect essential protein in uncertain PPI network.

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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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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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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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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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564 Views

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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3253 Views

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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With the development of audio synthesis techniques, the most state-of-art synthesis methods based on  Generative Adversarial Network(GAN) have been proposed. Whether the automatic speaker verification (ASV) systems are vulnerability to the GAN based synthesized audios is urgently needed to be verified. We present a publicly available set of GAN based synthesized audios generated by some open source schemes (WaveGAN,TifGAN,GANSynth,MelGAN), which allows researches to verify impact of the GAN-synthetic audio on security of ASV systems.

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564 Views

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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