Results 21 to 30 of about 3,121,843 (279)

Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques

open access: yesSensors, 2023
Hepatocellular Carcinoma (HCC) is the most frequent malignant liver tumor and the third cause of cancer-related deaths worldwide. For many years, the golden standard for HCC diagnosis has been the needle biopsy, which is invasive and carries risks ...
Delia-Alexandrina Mitrea   +5 more
doaj   +1 more source

Research on Urea-related Deposit in the Exhaust Pipe of SCR System

open access: yesMATEC Web of Conferences, 2019
At present, numbers of commercial vehicles equipped with SCR system have been observed to generate deposit on exhaust pipe wall after operation for a certain time. Deposits can be hardly dissolved in water and decomposed by heating.
Zhu Neng, Lv Lin, Chen Shi
doaj   +1 more source

A Novel Strategy for Improving the Counter Propagation Artificial Neural Networks in Classification Tasks

open access: yesJournal of Communications Software and Systems, 2022
Counter-Propagation-Artificial-Neural-Networks (C P-ANNs) have been applied in several domains due to their learning and classification abilities. Regardless of their strength, the CP-ANNs still have some limitations in pattern recognition tasks when ...
Sara Belattar   +2 more
doaj   +1 more source

Semantic concept detection in imbalanced datasets based on different under-sampling strategies [PDF]

open access: yes, 2011
Semantic concept detection is a very useful technique for developing powerful retrieval or filtering systems for multimedia data. To date, the methods for concept detection have been converging on generic classification schemes.
Foley, Colum   +3 more
core   +1 more source

Performance Measures in Discrete Supervised Classification

open access: yes, 2021
The evaluation of results in Cluster Analysis frequently appears in the literature, and a variety of evaluation measures have been proposed. On the contrary, in supervised classification, particularly in the discrete case, the subject of results’ evaluation is relatively scarce in this field of the literature.
Ferreira, A. S., Marques, A.
openaire   +2 more sources

Optimised one-class classification performance

open access: yesMachine Learning, 2022
Submitted version of ...
Oliver Urs Lenz   +2 more
openaire   +5 more sources

Cooperative co-evolution of GA-based classifiers based on input increments [PDF]

open access: yes, 2007
Genetic algorithms (GAs) have been widely used as soft computing techniques in various applications, while cooperative co-evolution algorithms were proposed in the literature to improve the performance of basic GAs.
Guan, SU, Zhu, F
core   +2 more sources

Multi‐view learning for benign epilepsy with centrotemporal spikes

open access: yesIET Computer Vision, 2019
Benign epilepsy with centrotemporal spikes (BECT) may be the most popular epilepsy to attack children. In recent years, more and more studies have shown that magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) are promising ...
Ming Yan   +3 more
doaj   +1 more source

Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task

open access: yesIET Computer Vision, 2020
Fisher kernels derived from stochastic probabilistic models such as restricted and deep Boltzmann machines have shown competitive visual classification results in comparison to widely popular deep discriminative models.
Sarah Ahmed, Tayyaba Azim
doaj   +1 more source

Multilingual Twitter Sentiment Classification: The Role of Human Annotators [PDF]

open access: yes, 2016
What are the limits of automated Twitter sentiment classification? We analyze a large set of manually labeled tweets in different languages, use them as training data, and construct automated classification models.
Grcar, Miha   +2 more
core   +3 more sources

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