Computational Intelligence

The presented dataset has been used as a basis for CAO - a system for analysis of emoticons in Japanese online communication, developed by Ptaszynski et al. (2010). Emoticons are strings of symbols widely used in text-based online communication to convey user emotions. The database contains: 1) a predetermined raw emoticon database containing over ten thousand emoticon samples extracted from the Web, 2) emoticon parts automatically divided from raw emoticons into semantic areas representing “mouths” or “eyes”.

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  • Computational Intelligence
  • Last Updated On: 
    Thu, 03/14/2019 - 00:03

    Our goal is to find whether a convolutional neural network (CNN) performs better than the existing blind algorithms for image denoising, and, if yes, whether the noise statistics has an effect on the performance gap. We performed automatic identification of noise distribution, over a set of nine possible distributions, namely, Gaussian, log-normal, uniform, exponential, Poisson, salt and pepper, Rayleigh, speckle and Erlang. Next, for each of these noisy image sets, we compared the performance of FFDNet, a CNN based denoising method, with noise clinic, a blind denoising algorithm.

    534 views
  • Communications
  • Last Updated On: 
    Fri, 03/01/2019 - 21:15

    We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561.

    This dataset aim to promote research in the acoustic reasoning area.

    It comprise Acoustic Scenes and multiple questions/answers for each of them.

    Each question is accompanied by a functional program which describe the reasoning steps needed in order to answer it.

     

    The dataset is constitued is separated in 3 sets :

    131 views
  • Computational Intelligence
  • Last Updated On: 
    Mon, 02/25/2019 - 16:40

    Date fruit data sets are not publicly available. Previous studies have collected and used their own data set. Almost all these studies have few hundred images per class. As our motive was robust date fruit classification, we did not use the camera to take images of a particular size, angle or images with a particular background, instead to add robustness, we built our date fruit database using Google search engine. Hence the images had the multi-background, noise, different lighting condition, other objects, different packaging and sometimes even partial covering.

    584 views
  • Computational Intelligence
  • Last Updated On: 
    Wed, 02/20/2019 - 06:50

    Our Signing in the Wild dataset consists of various videos harvested from YouTube containing people signing in various sign languages and doing so in diverse settings, environments, under complex signer and camera motion, and even group signing. This dataset is intended to be used for sign language detection.

     

    185 views
  • Communications
  • Last Updated On: 
    Sat, 02/23/2019 - 10:49

    The database was created with records of psychosocial risk level colombian teachers school using physiological variables from May 2016 to December 2017 in five municipalities of a metropolitan area of city in Colombia. The application of physiological variables was made to the people who voluntarily participated in the study. The names and personal data were kept by the researcher.

    89 views
  • Health
  • Last Updated On: 
    Fri, 03/01/2019 - 16:29

    The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj.

    1795 views
  • Computer Vision
  • Last Updated On: 
    Tue, 10/29/2019 - 01:13

    The dataset contains Software Development Effort Estimation (SDEE) metrics values extracted from around 1800 Open Source Software (OSS) repositories of GitHub.

    374 views
  • Computational Intelligence
  • Last Updated On: 
    Tue, 03/05/2019 - 05:58

    The present dataset is based on implementing of 3 approaches  with respect to the acquisition of driver data. The same one that we propose to use a sensor of concentration of alcohol in the environment (physiological), a sensor that measure the temperature of the defined points on driver’s face (biological) and another one that allows to identify and recognize the thickness of the pupil (visual characteristics).

     

    434 views
  • Transportation
  • Last Updated On: 
    Thu, 03/28/2019 - 11:33

    Copyright (C) 2016-2019 Shandong UniversityDataset for "An artificial fusion intelligence-driven approach to energy-aware scheduling of stochastic nonlinear heterogeneous super-systems”

    87 views
  • Computational Intelligence
  • Last Updated On: 
    Tue, 02/05/2019 - 11:24

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