Computational Intelligence

Conversational Interfaces have become omnipresent with the rise of new intelligent systems.
Even though intelligent systems like Siri or Google Assistants are enjoyable (and useful) dialog partners, the full potential of their Conversational Interfaces has not been fully exploited, yet.
For the time being, users can only access predefined functionality.
Enabling end-users to extend the functionality of intelligent systems seems to be the next big thing.

  • Computational Intelligence
  • Last Updated On: 
    Wed, 09/18/2019 - 06:04
    4 views

    This pre-trained Word2Vec model has 300-dimensional vectors for more than 0.5 million Nepali words and phrases. A separate Nepali language text corpus was created using the news contents freely available in the public domain. The text corpus contained more than 100 million running words.

    Word2Vec model details: Embeddings Dimension: 300, Architecture: Continuous - BOW, Training algorithm: Negative sampling = 15, Context (window) size: 10, Token minimum count: 2, Encoded in UTF-8.

  • Computational Intelligence
  • Last Updated On: 
    Sun, 09/15/2019 - 14:49
    335 views

    This data set comprises 4223 videos from a laser surface heat treatment process (also called laser heat treatment) applied to cylindrical workpieces made of steel. The purpose of the dataset is to detect anomalies in the laser heat treatment learning a model from a set of non-anomalous videos.In the laser heat treatment, the laser beam is following a pattern similar to an "eight" with a frequency of 100 Hz. This pattern is sometimes modified to avoid obstacles in the workpieces.The videos are recorded at a frequency of 1000 frames per second with a thermal camera.

  • Image Processing
  • Last Updated On: 
    Wed, 09/11/2019 - 06:29
    156 views

    This is the dataset for the manuscript entitled "Physics-prior Bayesian neural networks in semiconductor processing", IEEE Access

  • Computational Intelligence
  • Last Updated On: 
    Thu, 09/05/2019 - 12:15
    104 views

    This contains data for ISFET based pH sensor drift compensation using machine learning techniques

  • Sensors
  • Last Updated On: 
    Wed, 08/21/2019 - 08:49
    102 views

    Database for FMCW THz radars (HR workspace) and sample code for federated learning 

  • Communications
  • Last Updated On: 
    Wed, 08/07/2019 - 07:53
    243 views

    Reinforcement Learning (RL) agents can learn to control a nonlinear system without using a model of the system. However, having a model brings benefits, mainly in terms of a reduced number of unsuccessful trials before achieving acceptable control performance. Several modelling approaches have been used in the RL domain, such as neural networks, local linear regression, or Gaussian processes. In this article, we focus on a technique that has not been used much so far:\ symbolic regression, based on genetic programming.

  • Computational Intelligence
  • Last Updated On: 
    Fri, 07/26/2019 - 03:46
    72 views

    Real life business processes change over time, in both planned and unexpected ways. These changes over time are called concept drifts and its detection is a big challenge in process mining since the inherent complexity of the data makes difficult distinguishing between a change and an anomalous execution. The following logs were generated synthetically in order to prove the quality of different concept drift detection algorithms.

  • Computational Intelligence
  • Last Updated On: 
    Tue, 07/09/2019 - 14:07
    52 views

    Code duplicates in large code corpora have adverse effects on the evaluation and use of machine learning models that rely on them. Most existing corpora suffer from this problem to some extent. This dataset contains a "duplication" index for some of the existing corpora in Big Code research. The method for collecting this dataset is described in "The Adverse Effects of Code Duplication in Machine Learning Models of Code" by Allamanis [ArXiV, to appear in SPLASH 2019].

     

  • Computational Intelligence
  • Last Updated On: 
    Thu, 06/27/2019 - 11:47
    98 views

    This dataset contains a sequence of network events extracted from a commercial network monitoring platform, Spectrum, by CA. These events, which are categorized by their severity, cover a wide range of events, from a link state change up to critical usages of CPU by certain devices. Regarding the layers they cover, they are focused on the physical, network and application layer. As such, the whole set gives a complete overview of the network’s general state.

  • Communications
  • Last Updated On: 
    Tue, 09/17/2019 - 19:16
    96 views

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