8 citations · 11 across the 9 of their papers we have counts for
4 papers · 1 filter
Fully tensorial approach to hypercomplex-valued neural networks
Agnieszka Niemczynowicz, Radosław Antoni Kycia
A fully tensorial theoretical framework for hypercomplex-valued neural networks is presented. The proposed approach enables neural network architectures to operate on data defined…
KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch
Agnieszka Niemczynowicz, Radosław Antoni Kycia
Neural networks used in computations with more advanced algebras than real numbers perform better in some applications. However, there is no general framework for constructing hype…
Selected aspects of complex, hypercomplex and fuzzy neural networks
Agnieszka Niemczynowicz, Radosław A. Kycia, Maciej Jaworski +8
This short report reviews the current state of the research and methodology on theoretical and practical aspects of Artificial Neural Networks (ANN). It was prepared to gather stat…
TreeGen -- a Monte Carlo generator for data frames
Agnieszka Niemczynowicz, Gabriela Białoskórska, Joanna Nieżurawska-Zając +1
The typical problem in Data Science is creating a structure that encodes the occurrence frequency of unique elements in rows and relations between different rows of a data frame. W…