Radiomics in prostate cancer: An up-to-date review
M Ferro, O de Cobelli, G Musi… - Therapeutic …, 2022 - journals.sagepub.com
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …
population. The diagnosis, the identification of aggressive disease, and the post-treatment …
Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images
Kidney stone is a commonly seen ailment and is usually detected by urologists using
computed tomography (CT) images. It is difficult and time-consuming to detect small stones …
computed tomography (CT) images. It is difficult and time-consuming to detect small stones …
Social bots and the spread of disinformation in social media: the challenges of artificial intelligence
Artificial intelligence (AI) is creating a revolution in business and society at large, as well as
challenges for organizations. AI‐powered social bots can sense, think and act on social …
challenges for organizations. AI‐powered social bots can sense, think and act on social …
Tetromino pattern based accurate EEG emotion classification model
Nowadays, emotion recognition using electroencephalogram (EEG) signals is becoming a
hot research topic. The aim of this paper is to classify emotions of EEG signals using a novel …
hot research topic. The aim of this paper is to classify emotions of EEG signals using a novel …
Machine learning approaches for biomolecular, biophysical, and biomaterials research
CA Rickert, O Lieleg - Biophysics Reviews, 2022 - pubs.aip.org
A fluent conversation with a virtual assistant, person-tailored news feeds, and deep-fake
images created within seconds—all those things that have been unthinkable for a long time …
images created within seconds—all those things that have been unthinkable for a long time …
Automated brain disease classification using exemplar deep features
Automated brain disease classification is one of the complex and widespread issues for
machine learning and biomedical engineering. Various models and papers have been …
machine learning and biomedical engineering. Various models and papers have been …
A survey on classifying big data with label noise
JM Johnson, TM Khoshgoftaar - ACM Journal of Data and Information …, 2022 - dl.acm.org
Class label noise is a critical component of data quality that directly inhibits the predictive
performance of machine learning algorithms. While many data-level and algorithm-level …
performance of machine learning algorithms. While many data-level and algorithm-level …
A hand-modeled feature extraction-based learning network to detect grasps using sEMG signal
Recently, deep models have been very popular because they achieve excellent
performance with many classification problems. Deep networks have high computational …
performance with many classification problems. Deep networks have high computational …
Missing data imputation in the Internet of Things sensor networks
The Internet of Things (IoT) has had a tremendous impact on the evolution and adoption of
information and communication technology. In the modern world, data are generated by …
information and communication technology. In the modern world, data are generated by …
The impact of heterogeneous distance functions on missing data imputation and classification performance
This work performs an in-depth study of the impact of distance functions on K-Nearest
Neighbours imputation of heterogeneous datasets. Missing data is generated at several …
Neighbours imputation of heterogeneous datasets. Missing data is generated at several …