One-class support vector machine and LDA topic model integration—Evidence for AI patents

A Thielmann, C Weisser, A Krenz - Soft computing: Biomedical and related …, 2021 - Springer
The present contribution suggests a two-step classification rule for unsupervised document
classification, using one-class Support Vector Machines and Latent Dirichlet Allocation …

[HTML][HTML] Data exploration and classification of news article reliability: Deep learning study

K Zhan, Y Li, R Osmani, X Wang… - JMIR infodemiology, 2022 - infodemiology.jmir.org
Background During the ongoing COVID-19 pandemic, we are being exposed to large
amounts of information each day. This “infodemic” is defined by the World Health …

[PDF][PDF] Detection of hospital acquired infections in sparse and noisy Swedish patient records

C Ehrentraut, H Tanushi, H Dalianis… - A machine learning …, 2012 - Citeseer
ABSTRACT Hospital Acquired Infections (HAI) pose a significant risk on patients' health
while their surveillance is an additional work load for hospital medical staff and hospital …

Natural language processing methods used for automatic prediction mechanism of related phenomenon

K Horecki, J Mazurkiewicz - … Conference on Artificial Intelligence and Soft …, 2015 - Springer
The paper presents an idea to combine variety of Natural Language Processing techniques
with different classification methods as a tool for automatic prediction mechanism of related …

Integration of machine learning with complex industrial mining systems for reduced energy consumption

MD Harmse, JH van Laar, WA Pelser… - Frontiers in Artificial …, 2022 - frontiersin.org
The deep-level mining industry is experiencing narrowing profit margins due to increasing
operating costs and decreasing production. The industry is known for its lack of dynamic …

Comparisons of different classification algorithms while using text mining to screen psychiatric inpatients with suicidal behaviors

H Zhu, X Xia, J Yao, H Fan, Q Wang, Q Gao - Journal of psychiatric …, 2020 - Elsevier
Objective To compare the performance of methods based on text mining to screen suicidal
behaviors according to chief complaint of the psychiatric inpatients. Methods Electronic …

Brain morphometry of MR images for automated classification of first-episode schizophrenia

D Schwarz, T Kasparek - Information Fusion, 2014 - Elsevier
Schizophrenia is a disabling psychiatric disorder that usually begins to affect individuals
during their adolescence or early adulthood and most patients continue to suffer social …

Support vector machine pada information retrieval

IK Purnamawan - Jurnal Pendidikan Teknologi dan …, 2015 - ejournal.undiksha.ac.id
SVM merupakan classsifier yang mempunyai keunggulan dapat mengolah data berdimensi
tinggi, tanpa mengalami penurunan performa yang signifikan. SVM sekarang ini semakin …

Accurate ball detection in soccer images using probabilistic analysis of salient regions

M Leo, PL Mazzeo, M Nitti, P Spagnolo - Machine vision and applications, 2013 - Springer
Automatic sport video analysis has became one of the most attractive research fields in the
areas of computer vision and multimedia technologies. In particular, there has been a boom …

Movie genre classification using TF-IDF and SVM

N Fei, Y Zhang - Proceedings of the 2019 7th international conference …, 2019 - dl.acm.org
This paper studies the classification principle and process of SVM algorithm, and classifies
the text containing movie information, so as to achieve the research purpose of movie …