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Sell and Buy Homegrown Vegetables and Fruits Online Using E-Commerce UML Algorithm
Preethi, C., Saran, V.S. Shree, Meikannan, M., Hammed, S.Shahul, Haripriya, K., Kumar, B.Arun
Published in 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS) (09.02.2023)
Published in 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS) (09.02.2023)
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Conference Proceeding
Unsupervised Machine Learning-Based Analysis of Clinical Features, Bone Mineral Density Features and Medical Care Costs of Rotator Cuff Tears
Wang, Tong-Fu, Chen, De-Sheng, Zhu, Jia-wang, Zhu, Bo, Wang, Zeng-Liang, Cao, Jian-Gang, Feng, Cai-Hong, Zhao, Jun-Wei
Published in Risk management and healthcare policy (01.01.2021)
Published in Risk management and healthcare policy (01.01.2021)
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Journal Article
Utilizing echocardiography and unsupervised machine learning for heart failure risk identification
Simonsen, Jakob Øystein, Modin, Daniel, Skaarup, Kristoffer, Djernæs, Kasper, Lassen, Mats Christian Højbjerg, Johansen, Niklas Dyrby, Marott, Jacob Louis, Jensen, Magnus Thorsten, Jensen, Gorm B., Schnohr, Peter, Martínez, Sergio Sánchez, Claggett, Brian Lee, Møgelvang, Rasmus, Biering-Sørensen, Tor
Published in International journal of cardiology (01.01.2025)
Published in International journal of cardiology (01.01.2025)
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Journal Article
An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR
Zhuang, Yan, Rahman, Md Fashiar, Wen, Yuxin, Pokojovy, Michael, McCaffrey, Peter, Vo, Alexander, Walser, Eric, Moen, Scott, Xu, Honglun, Tseng, Tzu-Liang (Bill)
Published in Journal of X-ray science and technology (30.09.2022)
Published in Journal of X-ray science and technology (30.09.2022)
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Journal Article
Abstract 14179: Unsupervised Machine Learning on Myocardial Deformation Curves Identifies Specific Clusters of People at Risk of Heart Failure - The Copenhagen City Heart Study
Simonsen, Jakob Oeystein, Modin, Daniel, Skaarup, Kristoffer G, Djernæs, Kasper, Lassen, Mats, Johansen, Niklas D, Sanchez, Sergio, Claggett, Brian, Marott, Jacob, Thorsten, Magnus, Jensen, Gorm, Schnohr, Peter, Mogelvang, Rasmus, Biering-Srensen, Tor
Published in Circulation (New York, N.Y.) (08.11.2022)
Published in Circulation (New York, N.Y.) (08.11.2022)
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Journal Article
Abstract 13915: Unsupervised Machine Learning Algorithm Identifies People From the General Population at Risk of Heart Failure Based on Speckle Tracking Patterns: The Copenhagen City Heart Study
Simonsen, Jakob Oeystein, Skaarup, Kristoffer G, Modin, Daniel, Djernæs, Kasper, Lassen, Mats, Johansen, Niklas D, Martinez, Sergio S, Claggett, Brian L, Marott, Jacob, Jorgensen, Peter G, Jensen, Gorm, Schnohr, Peter, Mogelvang, Rasmus, Biering-Sørensen, Tor
Published in Circulation (New York, N.Y.) (16.11.2021)
Published in Circulation (New York, N.Y.) (16.11.2021)
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Journal Article
Unsupervised machine learning generated clusters of left ventricular strain curves identifies patients in risk of heart failure and cardiovascular death following acute myocardial infarction
Simonsen, J.O, Skaarup, K.G, Djernaes, K, Modin, D, Lassen, M.C.H, Grove, G.L, Pedersen, S, Estepar, R.S.J, Martinez, S.S, Gislason, G, Biering-Soernsen, T
Published in European heart journal (01.11.2020)
Published in European heart journal (01.11.2020)
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Journal Article
Advancing Reproducibility and Accountability of Unsupervised Machine Learning in Text Mining: Importance of Transparency in Reporting Preprocessing and Algorithm Selection
Valtonen, L., Mäkinen, Saku J., Kirjavainen, Johanna
Published in Organizational research methods (01.01.2024)
Published in Organizational research methods (01.01.2024)
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Journal Article
Abstract 14179: Unsupervised Machine Learning on Myocardial Deformation Curves Identifies Specific Clusters of People at Risk of Heart Failure - The Copenhagen City Heart Study
Simonsen, Jakob Oeystein, Modin, Daniel, Skaarup, Kristoffer G, Djernæs, Kasper, Lassen, Mats, Johansen, Niklas D, Sanchez, Sergio, Claggett, Brian, Marott, Jacob, Thorsten, Magnus, Jensen, Gorm, Schnohr, Peter, Mogelvang, Rasmus, Biering-Srensen, Tor
Published in Circulation (New York, N.Y.) (08.11.2022)
Published in Circulation (New York, N.Y.) (08.11.2022)
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Journal Article
Abstract 13915: Unsupervised Machine Learning Algorithm Identifies People From the General Population at Risk of Heart Failure Based on Speckle Tracking Patterns: The Copenhagen City Heart Study
Simonsen, Jakob Oeystein, Skaarup, Kristoffer G, Modin, Daniel, Djernæs, Kasper, Lassen, Mats, Johansen, Niklas D, Martinez, Sergio S, Claggett, Brian L, Marott, Jacob, Jorgensen, Peter G, Jensen, Gorm, Schnohr, Peter, Mogelvang, Rasmus, Biering-Sørensen, Tor
Published in Circulation (New York, N.Y.) (16.11.2021)
Published in Circulation (New York, N.Y.) (16.11.2021)
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Journal Article
Efficiency Evaluation of the Unconditional Maximum Likelihood Estimator for Near‐Field DOA Estimation
Olague, Jose Arceo, Rosales, David Covarrubias, Rivera, Jose Luna
Published in ETRI journal (01.12.2006)
Published in ETRI journal (01.12.2006)
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Journal Article
Autonomously revealing hidden local structures in supercooled liquids
Boattini, Emanuele, Marín-Aguilar, Susana, Mitra, Saheli, Foffi, Giuseppe, Smallenburg, Frank, Filion, Laura
Published in arXiv.org (01.03.2020)
Published in arXiv.org (01.03.2020)
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Paper
Journal Article
Efficiency Evaluation of the Unconditional Maximum Likelihood Estimator for Near-Field DOA Estimation
Arceo-Olague, J.G, Covarrubias-Rosales, D.H, Luna-Rivera, J.M
Published in ETRI journal (01.12.2006)
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Published in ETRI journal (01.12.2006)
Journal Article
Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning Analysis
Uceta, Marcos, Cerro‐León, Alberto del, Shpakivska‐Bilán, Danylyna, García‐Moreno, Luis M., Maestú, Fernando, Antón‐Toro, Luis Fernando
Published in Brain and behavior (01.11.2024)
Published in Brain and behavior (01.11.2024)
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Journal Article
Unsupervised machine learning for risk stratification and identification of relevant subgroups of ascending aorta dimensions using cardiac CT and clinical data
Zanfardino, Mario, Punzo, Bruna, Maffei, Erica, Saba, Luca, Bossone, Eduardo, Nistri, Stefano, La Grutta, Ludovico, Franzese, Monica, Cavaliere, Carlo, Cademartiri, Filippo
Published in Computational and structural biotechnology journal (01.12.2024)
Published in Computational and structural biotechnology journal (01.12.2024)
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Journal Article
POS0682 UNSUPERVISED MACHINE-LEARNING CLUSTERING ANALYSIS FOR CARDIOVASCULAR RISK ASSESSMENT IN RA PATIENTS IDENTIFIES SPECIFIC PHENOTYPES BEYOND THE SCORE-2 PREDICTION MODEL
Cacciapaglia, F., Venerito, V., Erre, G. L., Piga, M., Sakellariou, G., Viapiana, O., Bartoloni, E., Manfredi, A., Gremese, E., Spinelli, F. R., Atzeni, F.
Published in Annals of the rheumatic diseases (01.06.2024)
Published in Annals of the rheumatic diseases (01.06.2024)
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Journal Article