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09/03/2023
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees
The FOR-instance dataset (available at https://doi.org/10.5281/zenodo.82...
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08/11/2023
Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification
This paper presents a computer-aided cytology diagnosis system designed ...
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07/21/2023
Using simulation to calibrate real data acquisition in veterinary medicine
This paper explores the innovative use of simulation environments to enh...
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06/27/2023
Assessing Dataset Quality Through Decision Tree Characteristics in Autoencoder-Processed Spaces
In this paper, we delve into the critical aspect of dataset quality asse...
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06/20/2023
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology
The primary objective of this research was to enhance the quality of sem...
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05/07/2023
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis
This paper shows the machine learning system which performs instance seg...
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05/04/2023
Point2Tree(P2T) – framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest
This article introduces Point2Tree, a novel framework that incorporates ...
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04/29/2023
CARLA-BSP: a simulated dataset with pedestrians
We present a sample dataset featuring pedestrians generated using the AR...
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09/15/2021
Modern Cybersecurity Solution using Supervised Machine Learning
Cybersecurity is essential, and attacks are rapidly growing and getting ...
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02/12/2020
Retrain or not retrain? – efficient pruning methods of deep CNN networks
Convolutional neural networks (CNN) play a major role in image processin...
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08/02/2019
Falls Prediction in eldery people using Gated Recurrent Units
Falls prevention, especially in older people, becomes an increasingly im...
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05/28/2018
Convolutional neural network compression for natural language processing
Convolutional neural networks are modern models that are very efficient ...
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06/20/2017
Improving text classification with vectors of reduced precision
This paper presents the analysis of the impact of a floating-point numbe...
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11/30/2016
The observer-assisted method for adjusting hyper-parameters in deep learning algorithms
This paper presents a concept of a novel method for adjusting hyper-para...
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09/20/2016
FPGA implementation of the procedures for video quality assessment
Video resolutions used in variety of media are constantly rising. While ...
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09/10/2016
Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity
This paper examines the performance of a Spatial Pooler (SP) of a Hierar...
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08/05/2016