Computational Intelligence

Invasive lobular carcinoma (ILC) is the second most prevalent histologic subtype of invasive breast cancer. Here, we comprehensively profiled 817 breast tumors, including 127 ILC, 490 ductal (IDC), and 88 mixed IDC/ILC. Besides E-cadherin loss, the best known ILC genetic hallmark, we identified mutations targeting PTEN, TBX3 and FOXA1 as ILC enriched features. PTEN loss associated with increased AKT phosphorylation, which was highest in ILC among all breast cancer subtypes. Spatially clustered FOXA1 mutations correlated with increased FOXA1 expression and activity.

  • Artificial Intelligence
  • Last Updated On: 
    Tue, 06/23/2020 - 07:54

    This dataset contains the results of the simulation runs of the experiments performed to evaluate and compare the proposed spatial model for situated multi-agent systems. The model was introduced in a paper entitled "BioMASS, a spatial model for situated multiagent systems that optimizes neighborhood search". In this paper we presented a new model to implement a spatially explicit environment that supports constant-time sensory (neighborhood search) and locomotion functions for situated multiagent systems.

  • Standards Research Data
  • Last Updated On: 
    Wed, 06/24/2020 - 17:30

    A Indústria enfrenta desafios graves e fracassa sem competitividade. Atacando esta problemática, conferiu-se o oferecimento de maior eficiência a processos industriais para promover a produtividade, elevar a qualidade e impulsionar mudanças. A solução desenvolvida incluiu dispositivos com sensores não invasivos, simples de instalar, que contabilizam os itens sendo transportados em linhas de produção.

  • Artificial Intelligence
  • Last Updated On: 
    Sun, 05/31/2020 - 21:09

    Demonstrating dataset used in one of the experiments.

  • Computational Intelligence
  • Last Updated On: 
    Tue, 05/19/2020 - 08:56

    Each voice sample is stored as a .WAV file, which is then pre-processed for acoustic analysis using the specan function from the WarbleR R package. Specan measures 22 acoustic parameters on acoustic signals for which the start and end times are provided.

    The output from the pre-processed WAV files were saved into a CSV file, containing 3168 rows and 21 columns (20 columns for each feature and one label column for the classification of male or female).

  • Artificial Intelligence
  • Last Updated On: 
    Sat, 04/25/2020 - 08:58

    Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence

    "The perils and pitfalls of block design for EEG classification experiments"

    The paper has been accepted and is in production.

    We will upload the dataset when the paper is published.

    This is a placeholder so we can obtain a DOI to include in the paper.

  • Artificial Intelligence
  • Last Updated On: 
    Fri, 04/24/2020 - 16:39

    [17-APR-2020: WE ARE STILL UPLOADING THE DATASET, PLEASE WAIT UNTIL IT IS COMPLETED] -The dataset comprises a set of 11 different actions performed by 17 subjects that is created for multimodal fall detection. Five types of falls and six daily activities were considered in the experiment. Data collection comes from five wearable sensors, one brainwave helmet sensor, six infrared sensors around the room and two RGB-cameras. Three attempts per action were recorded. The dataset contains raw signals as well as three windowing-based feature sets.

  • Artificial Intelligence
  • Last Updated On: 
    Mon, 05/11/2020 - 20:12

    The project is conceptualized to 'Geo Web-Based Facility Mapping for Zone-2 in Greater Visakhapatnam Municipal Corporation- GVMC in Visakhapatnam, India'. The main objective is to share the spatial data to the public to help them find the information about the nearest Hospital, ATM, Educational institutions, petrol filling stations, and supermarkets by providing both web map services and web coverage services using QGIS Cloud.

  • Transportation
  • Last Updated On: 
    Mon, 04/06/2020 - 07:48

    This dataset is composed of 4-Dimensional time series files, representing the movements of all 38 participants during a novel control task. In the ‘’ file this can be set up to 6-Dimension, by the ‘fields_included’ variable. Two folders are included, one ready for preprocessing (‘subjects raw’) and the other already preprocessed ‘subjects preprocessed’.

  • Machine Learning
  • Last Updated On: 
    Fri, 05/29/2020 - 16:24

    We develop a general group-based continuous-time Markov epidemic model (GgroupEM) framework for any compartmental epidemic model (e.g., susceptible-infected-susceptible, susceptible-infected-recovered, susceptible-exposed-infected-recovered). Here, a group consists of a collection of individual nodes of a network. This model can be used to understand the critical dynamic characteristics of a stochastic epidemic spreading over large complex networks while being informative about the state of groups.

  • Machine Learning
  • Last Updated On: 
    Sun, 04/05/2020 - 10:53