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257 984 (0,316s)

Result

Scoring (the using of probit and logit regression)

The standard user scoring is usually based on the addition form the sum of detailed score which correspond with the values of each of the observed influences. An advantage of this concept i its simplicity and transparency. ...

JD - Využití počítačů, robotika a její aplikace

  • 2005
  • D
Result

An accurate transformer-based model for transition-based dependency parsing of free word order languages

Transformer models are the state-of-the-art in Natural Language Processing (NLP) and the core of the Large Language Models (LLMs). We propose a transformer-based model for transition-based dependency parsing of fre...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • Jimp
  • Link
Result

Comparative Analysis of Community Detection and Transformer-Based Approaches for Topic Clustering of Scientific Papers

algorithm was able to achieve a similar coherence score to the transformer-based top2vec, and the second is the transformer-based top2vec algorithm which uses sentence-transformer collected from ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Link
Result

Invariance to ordinal transformations in rank-aware databases

We study influence of ordinal transformations on results of queries in rank ordered structures of scores with infima acting as aggregation functions. We introduce that infima-based algebraic operations with ranked relations...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • Jimp
  • Link
Result

Mean, mode or median? The score mean

on the typical value of the distribution. There are at most two relevant scalar-valued scores based on two basic transformations: the “natural” one, useful for estimatingA continuous random variable can be uniquely represe...

Statistics and probability

  • 2021
  • Jimp
  • Link
Result

Predicting Risk of Multiple Sclerosis Worsening

and transformer-based methods, e.g., Random Forest, Gradient Boosting, and SurfTRACE transformer, to address the risk and cumulative probability of Multiple Sclerosis method based on the Random Forest algorithm

Automation and control systems

  • 2023
  • D
  • Link
Result

Transformer-based Semantic Segmentation for Large-Scale Building Footprint Extraction from Very-High Resolution Satellite Images

of convolution operations. This study introduces the masked-attention mask transformer (Mask2Former), based on the Swin Transformer, for building footprint extraction from large+, UpperNet-ConvNext, and SegNeXt) and two

Communication engineering and systems

  • 2024
  • Jimp
  • Link
Result

3D Face Recognition on Low-Cost Depth Sensors

. The presented approach is based on the score-level fusion of individual recognition units representations and the feature vector is thus extracted. Comparison scores of individual recognition units are combined using ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2014
  • D
  • Link
Result

Spectral–Spatial Transformer-based Semantic Segmentation for Large-scale Mapping of Individual Date Palm Trees using Very High-resolution Satellite Data

transformer-based semantic segmentation architectures, including UperNet with vision transformer and Swin transformer, SegFormer, Mask2Former, and UniFormer, was conducted have effectively identified date palm tre...

Electrical and electronic engineering

  • 2024
  • Jimp
  • Link
Result

A Comprehensive Evaluation of Deep Vision Transformers for Road Extraction from Very-high-resolution Satellite Data

Transformer-based semantic segmentation architectures excel in extracting road road networks from multicity VHR data. This study evaluates 11 transformer-based Understanding (UperNet) based on the Swin

Communication engineering and systems

  • 2025
  • Jimp
  • Link
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