Continual Learning (CL) is a process in which there is still huge gap be...
This paper presents a computer-aided cytology diagnosis system designed ...
This paper explores the innovative use of simulation environments to enh...
The primary objective of this research was to enhance the quality of sem...
Anomaly detection tools and methods present a key capability in modern
c...
This paper shows the machine learning system which performs instance
seg...
Continual learning (CL) is one of the most promising trends in recent ma...
Manual translation of the algorithms from sequential version to its para...
Many object detection models struggle with several problematic aspects o...
Lemmatization is the process of grouping together the inflected forms of...
This work is focused on the pruning of some convolutional neural network...
Development of the new methods of surface water observation is crucial i...
Multivariate time series anomaly detection is a very common problem in t...
This paper presents the impact of using quantization on the efficiency o...
Convolutional neural networks (CNN) play a major role in image processin...
Machine comprehension, answering a question depending on a given context...
This invention addresses fixed-point representations of convolutional ne...
Convolutional neural networks are modern models that are very efficient ...
This paper presents the analysis of the impact of a floating-point numbe...
Video resolutions used in variety of media are constantly rising. While
...
This paper examines the performance of a Spatial Pooler (SP) of a
Hierar...
We present a method to classify objects in video streams using a
brain-i...