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08/14/2023
Ada-QPacknet – adaptive pruning with bit width reduction as an efficient continual learning method without forgetting
Continual Learning (CL) is a process in which there is still huge gap be...
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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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06/20/2023
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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05/25/2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection
Anomaly detection tools and methods present a key capability in modern c...
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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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03/16/2023
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning
Continual learning (CL) is one of the most promising trends in recent ma...
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02/07/2023
J-Parallelio – automatic parallelization framework for Java virtual machine code
Manual translation of the algorithms from sequential version to its para...
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08/29/2022
Chosen methods of improving small object recognition with weak recognizable features
Many object detection models struggle with several problematic aspects o...
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07/23/2022
Context based lemmatizer for Polish language
Lemmatization is the process of grouping together the inflected forms of...
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12/28/2021
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction
This work is focused on the pruning of some convolutional neural network...
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12/22/2021
Neuroevolution deep learning architecture search for estimation of river surface elevation from photogrammetric Digital Surface Models
Development of the new methods of surface water observation is crucial i...
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08/08/2021
Ensemble neuroevolution based approach for multivariate time series anomaly detection
Multivariate time series anomaly detection is a very common problem in t...
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07/17/2020
Training with reduced precision of a support vector machine model for text classification
This paper presents the impact of using quantization on the efficiency o...
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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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08/26/2019
Ensemble approach for natural language question answering problem
Machine comprehension, answering a question depending on a given context...
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07/24/2018
Method for Hybrid Precision Convolutional Neural Network Representation
This invention addresses fixed-point representations of convolutional ne...
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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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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
