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.

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

    In  order  to  explore  the  possible  drawbacks  of  a blockchain-based  system  for  data  management for nuclear Power Plant inspections,  a  simulator  has been implemented to recreate the scenario of an inspection. The results contain execution times, source code and instructions to deploy de simulator 

  • Standards Research Data
  • Last Updated On: 
    Thu, 01/16/2020 - 06:36

    This Dataset consist of 3Dmodels in Spherical harmonic coefficients andcorresponding shortcut of front view, the SH degree is 80.

  • Image Processing
  • Last Updated On: 
    Sat, 10/12/2019 - 22:55

    A new wearable sensing system of respiration rate based on a piezoresistive FlexiForce sensor has been developed. The 3D casing of the system has been designed and printed with a 3D printer. The design of the casing has a direct impact on sensor accuracy. The casing was designed to house all elements of the sensing system in a compact way: microcontroller, battery, conditioning circuit, Bluetooth module and battery charger. The sensing system was validated with twenty-one subjects using a metronome as a reference.

  • Sensors
  • Last Updated On: 
    Fri, 10/25/2019 - 13:50

    This dataset includes gathering 18-month raw PV data at time intervals of about 200 µs (5 kHz sampling). A post-processing 365-day day-by-day downsampled version, converted to 10 ms intervals (100 Hz sampling), is also included. The end results are two databases: 1. The original, raw, data, including both fast (short circuit, 200 µs) and slow (sweep, 2.5-3.9 s) information for 18 months. These show intervals of missing points, but are provided to allow potential users to reproduce any new work. 2.

  • Energy
  • Last Updated On: 
    Tue, 07/02/2019 - 21:06

    This paper presents a fast and open source extension based on the NSGA-II code stored in the repository of the Kanpur Genetic Algorithms Laboratory (KanGAL) and the adjustment of the selection operator. It slightly modifies existing well-established genetic algorithms for many-objective optimization called the NSGA-III, the adaptive NSGA-III (A-NSGA-III), and the efficient adaptive NSGA-III,  (A$^2$-NSGA-III).

  • Computational Intelligence
  • Last Updated On: 
    Mon, 11/18/2019 - 13:30

    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.


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

    This dataset accompanies the IEEE Journal of Oceanic Engineering Special Issue on Verification and Validation of Airgun Source Signature and Sound Propagation Models. The special issue has is its origins in the International Airgun Modelling Workshop (IAMW) held in Dublin, Ireland, on 16 July 2016 (Ainslie et al., 2016).

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Sun, 02/10/2019 - 11:23

    This dataset was collected from an industrial control system running the Modbus protocol. It is used to train a deep adversarial learning model. This model is used to generate fuzzing data in the same format as the real one. The data is a sequence of hexadecimal numbers. The followed generated data is produced by the already trained model.


  • Communications
  • Last Updated On: 
    Tue, 01/29/2019 - 04:35

    Co-cultures are a traditional method for studying the cellular properties of cell to cell interactions among different cell types. How network properties in these multicellular synthetic systems vary from monocultures are of particular interest. Understanding the changes in the functional output of these in vitro spiking neural networks can provide new insights into in vivo systems and how to develop biological system models that better reflect physiological conditions - something of paramount importance to the progress of synthetic biology.

  • Neuroscience
  • Last Updated On: 
    Tue, 06/18/2019 - 20:00