pypi: h2o | Projects | Ecosyste.ms: Papers

10.1093/gigascience/giaa026

ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data
Cited by: 13
Author(s): Stephen R. Piccolo, Terry J. Lee, Erica Suh, Kimball T Hill
Software Mentions: 21
Published: over 4 years ago

10.1371/journal.pone.0169748

SoilGrids250m: Global gridded soil information based on machine learning
Cited by: 2,126
Author(s): Tomislav Hengl, Jorge Mendes de Jesus, G.B.M. Heuvelink, M. Ruiperez González, Milorad Kilibarda, Aleksandar Blagotić, Wei Shangguan, Marvin N. Wright, Xiaoyuan Geng, Bernhard Bauer-Marschallinger, Mário Guevara, Rodrigo Vargas, R.A. MacMillan, N.H. Batjes, J.G.B. Leenaars, Eloi Ribeiro, Ichsani Wheeler, S. Mantel
Software Mentions: 19
Published: almost 8 years ago

10.3390/plants10020247

Machine Learning Applications and Optimization of Clustering Methods Improve the Selection of Descriptors in Blackberry Germplasm Banks
Cited by: 5
Author(s): Juan Camilo Henao-Rojas, María Gladis Rosero-Alpala, Carolina Ortiz-Muñoz, Carlos Enrique Velásquez-Arroyo, William A. León-Rueda, Joaquín Guillermo Ramírez‐Gil
Software Mentions: 19
Published: almost 4 years ago

10.1007/s15010-021-01656-z

Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning
Cited by: 16
Author(s): Carolin E. M. Jakob, Ujjwal Mukund Mahajan, Marcus Oswald, Melanie Stecher, Maximilian Schons, Julia Mayerle, Siegbert Rieg, Mathias W. Pletz, Uta Merle, Kai Wille, Stefan Borgmann, Christoph D. Spinner, Sebastian Dolff, Clemens Scherer, Lisa Pilgram, Maria Madeleine Rüthrich, Frank Hanses, Martin Hower, Richard Strauß, Steffen Maßberg, Ahmet Er, Norma Jung, Jörg Janne Vehreschild, Hans Stubbe, Lukas Tometten, Rainer König, Lukas Tometten, Siegbert Rieg, Uta Merle, Kai Wille, Stefan Borgmann, Christoph D. Spinner, Sebastian Dolff, Maria Madeleine Rüthrich, Frank Hanses, Martin Hower, Richard Strauß, Murat Akova, Norma Jung, Michael von Bergwelt‐Baildon, Maria J. G. T. Vehreschild, Beate Grüner, Martina Haselberger, Nora Isberner, Christiane Piepel, Kerstin Hellwig, Dominic Rauschning, Lukas Eberwein, Björn Jensen, Claudia Raichle, Gabriele Müller-Jörger, Sven Stieglitz, Thomas Kratz, Christian Degenhardt, Anette Friedrichs, Robert Bals, Susanne Rüger, Katja de With, Katja Rothfuss, Siri Goepel, Jacob Nattermann, Sabine Jordan, Jessica Rüddel, Janina Trauth, Gernot Beutel, Özlem Altuntaş Aydın, Milena Milovanovic, Michael Doll, Jörg Janne Vehreschild, Lisa Pilgram, Melanie Stecher, Carolin E. M. Jakob, Maximilian Schons, Annika Y. Claßen, Sandra Fuhrmann, Susana Nunes de Miranda, Bernd Franke, Nick Schulze, Fabian Praßer, Martin Lablans
Software Mentions: 14
Published: over 3 years ago

10.3389/fcimb.2021.688256

Machine Learning Uses Chemo-Transcriptomic Profiles to Stratify Antimalarial Compounds With Similar Mode of Action
Cited by: 1
Author(s): Ashleigh van Heerden, Roelof van Wyk, Lyn-Marié Birkholtz
Software Mentions: 13
Published: over 3 years ago

10.3390/jcm7100322

Derivation and Validation of Machine Learning Approaches to Predict Acute Kidney Injury after Cardiac Surgery
Cited by: 100
Author(s): Hyung Chul Lee, Hyun Kyu Yoon, Karam Nam, Youn Joung Cho, Tae Kyoung Kim, Won Ho Kim, Jae Hyon Bahk
Software Mentions: 12
Published: about 6 years ago

10.1007/s10705-017-9870-x

Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning
Cited by: 170
Author(s): Tomislav Hengl, J.G.B. Leenaars, Keith D. Shepherd, Markus Walsh, G.B.M. Heuvelink, Tekalign Mamo, H. Tilahun, Ezra Berkhout, Matthew Cooper, Eric Fegraus, Ichsani Wheeler, Nketia A. Kwabena
Software Mentions: 10
Published: over 7 years ago

10.1208/s12249-020-01660-w

Data-Driven Modeling of the Bicalutamide Dissolution from Powder Systems
Cited by: 9
Author(s): Aleksander Mendyk, Adam Pacławski, Joanna Szafraniec-Szczęsny, Agata Antosik, Witold Jamróz, Marian Paluch, Renata Jachowicz
Software Mentions: 9
Published: over 4 years ago

10.3389/fmicb.2018.02571

PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method
Cited by: 97
Author(s): Yi Xiong, Qiankun Wang, Junchen Yang, Xiaolei Zhu, Dong‐Qing Wei
Software Mentions: 9
Published: about 6 years ago

10.1371/journal.pone.0236856

The macroecology of the COVID-19 pandemic in the Anthropocene
Cited by: 32
Author(s): Piotr Skórka, Beata Grzywacz, Dawid Moroń, Magdalena Lenda
Software Mentions: 9
Published: over 4 years ago

10.1038/s41598-020-63565-9

Environmental DNA survey captures patterns of fish and invertebrate diversity across a tropical seascape
Cited by: 36
Author(s): Bryan Nguyen, Elaine W. Shen, Janina Seemann, Adrienne M. S. Correa, James L. O’Donnell, Andrew H. Altieri, Nancy Knowlton, Keith A. Crandall, Scott P. Egan, W. Owen McMillan, Matthieu Leray
Software Mentions: 7
Published: over 4 years ago

10.7150/ijms.51235

Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables
Cited by: 29
Author(s): Wei Hou, Zirun Zhao, Anne Chen, Haifang Li, Timothy Q. Duong
Software Mentions: 7
Published: almost 4 years ago

10.1002/ece3.7731

Different life stage, different risks: Thermal performance across the life cycle of <i>Salmo trutta</i> and <i>Salmo salar</i> in the face of climate change
Cited by: 7
Author(s): Oskar Kärcher, Martina Flörke, Danijela Markovic
Software Mentions: 6
Published: over 3 years ago

10.3390/molecules25112615

The Study on the hERG Blocker Prediction Using Chemical Fingerprint Analysis
Cited by: 21
Author(s): Kwang-Eun Choi, Anand Balupuri, Nam Sook Kang
Software Mentions: 6
Published: over 4 years ago

10.3390/diagnostics10060415

Comparison between Statistical Models and Machine Learning Methods on Classification for Highly Imbalanced Multiclass Kidney Data
Cited by: 17
Author(s): Bomi Jeong, Hyun-Jeong Cho, Jieun Kim, Soon Kil Kwon, Suk Bong Hong, ChangSik Lee, TaeYeon Kim, Man Sik Park, Seoksu Hong, Tae‐Young Heo
Software Mentions: 6
Published: over 4 years ago

10.1186/s43093-020-00041-w

Machine learning predictivity applied to consumer creditworthiness
Cited by: 13
Author(s): Maisa Cardoso Aniceto, Flávio Barboza, Herbert Kimura
Software Mentions: 6
Published: about 4 years ago

10.3390/ijms20092075

Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy
Cited by: 31
Author(s): Ray O. Bahado‐Singh, Sangeetha Vishweswaraiah, Buket Aydas, Nitish K. Mishra, Chittibabu Guda, Uppala Radhakrishna
Software Mentions: 6
Published: over 5 years ago

10.1371/journal.pone.0238648

The intestinal microbiome is a co-determinant of the postprandial plasma glucose response
Cited by: 6
Author(s): Nadja B Søndertoft, Josef Korbinian Vogt, Manimozhiyan Arumugam, Mette Kristensen, Rikke Juul Gøbel, Yong Fan, Liwei Lyu, Martin Iain Bahl, Carsten Eriksen, Lars Ängquist, Hanne Frøkiær, Tue H. Hansen, Susanne Brix, Henrik Bjørn Nielsen, Henrik Vestergaard, Ramneek Gupta, Tine Rask Licht, Lotte Lauritzen, Oluf Pedersen
Software Mentions: 5
Published: about 4 years ago

10.3389/fonc.2021.664346

Total Lesion Glycolysis Estimated by a Radiomics Model From CT Image Alone
Cited by: 1
Author(s): Hongwei Si, Xinzhong Hao, Lianyu Zhang, Xin Xu, Jianzhong Cao, Ping Wu, Li Li, Zhiyong Wu, Shengyang Zhang, Sijin Li
Software Mentions: 5
Published: over 3 years ago

10.1186/s13036-018-0112-9

Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes
Cited by: 10
Author(s): Abhishek S. Dhoble, Pratik Lahiri, Kaustubh Bhalerao
Software Mentions: 5
Published: about 6 years ago

10.1038/s41598-020-62573-z

Quantification for non-targeted LC/MS screening without standard substances
Cited by: 64
Author(s): Jaanus Liigand, Tingting Wang, Joshua J. Kellogg, Jørn Smedsgaard, Nadja B. Cech, Anneli Kruve
Software Mentions: 5
Published: over 4 years ago

10.1371/journal.pone.0235117

Using structured pathology data to predict hospital-wide mortality at admission
Cited by: 6
Author(s): Mieke Deschepper, Willem Waegeman, Dirk Vogelaers, Kristof Eeckloo
Software Mentions: 5
Published: over 4 years ago

10.2807/1560-7917.ES.2019.24.49.1900220

Estimating the effect of the 2005 change in BCG policy in England: a retrospective cohort study, 2000 to 2015
Cited by: 3
Author(s): Sam Abbott, Hannah Christensen, Nicky J Welton, Ellen Brooks-Pollock
Software Mentions: 5
Published: almost 5 years ago

10.1155/2015/573165

Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance
Cited by: 32
Author(s): Carl-Magnus Svensson, Ron Hübler, Marc Thilo Figge
Software Mentions: 4
Published: almost 10 years ago

10.1186/s12903-018-0591-6

Predicting oral malodour based on the microbiota in saliva samples using a deep learning approach
Cited by: 24
Author(s): Yoshio Nakano, Nao Suzuki, Fumiyuki Kuwata
Software Mentions: 4
Published: over 6 years ago

10.3389/fpls.2020.611622

Identification of Weeds Based on Hyperspectral Imaging and Machine Learning
Cited by: 20
Author(s): Yanjie Li, Mahmoud Al-Sarayreh, Kenji Irie, D. L. Hackell, G. W. Bourdôt, Marlon M. Reis, Kioumars Ghamkhar
Software Mentions: 4
Published: almost 4 years ago

10.1371/journal.pntd.0005973

Developing a dengue forecast model using machine learning: A case study in China
Cited by: 141
Author(s): Pi Guo, Tao Liu, Qin Zhang, Li Wang, Jianpeng Xiao, Qingying Zhang, Ganfeng Luo, Zhihao Li, Jianfeng He, Yonghui Zhang
Software Mentions: 4
Published: about 7 years ago

10.1371/journal.pcbi.1009370

Protein structural features predict responsiveness to pharmacological chaperone treatment for three lysosomal storage disorders
Cited by: 4
Author(s): Jaie Woodard, Wei Zheng, Zifeng Yang
Software Mentions: 4
Published: about 3 years ago

10.3390/ijerph18115929

Urinary Metabolites of Organophosphate Pesticides among Pregnant Women Participating in the Japan Environment and Children’s Study (JECS)
Cited by: 7
Author(s): Yukiko Nishihama, Takeo Nakayama, Takeshi Isobe, Chau-Ren Jung, Miyuki Iwai-Shimada, Yayoi Kobayashi, Takehiro Michikawa, Makiko Sekiyama, Yu Taniguchi, Shin Yamazaki
Software Mentions: 3
Published: over 3 years ago

10.3389/fpls.2019.00707

Evolution of Alternative Splicing in Eudicots
Cited by: 9
Author(s): Zhihao Ling, Thomas Brockmöller, Ian T. Baldwin, Shuqing Xu
Software Mentions: 3
Published: over 5 years ago

10.3389/fonc.2020.01033

The Clinical and Molecular Characterization of Gastric Cancer Patients in Qinghai-Tibetan Plateau
Cited by: 3
Author(s): Guanghong Rong, Yongxia Zhang, Yussanne Ma, Shilong Chen, Yongcui Wang
Software Mentions: 3
Published: over 4 years ago

10.3390/s20041096

A Review of Data Analytic Applications in Road Traffic Safety. Part 2: Prescriptive Modeling
Cited by: 14
Author(s): Qiong Hu, Miao Cai, Nasrin Mohabbati-Kalejahi, Amir Mehdizadeh, Mohammad Ali Alamdar Yazdi, Alexander Vinel, Steven E. Rigdon, Karen Davis, Fadel M. Megahed
Software Mentions: 3
Published: almost 5 years ago

10.1186/s12859-019-3317-0

Identification of infectious disease-associated host genes using machine learning techniques
Cited by: 24
Author(s): Ranjan Kumar Barman, Anirban Mukhopadhyay, Ujjwal Maulik, Sayan Das
Software Mentions: 3
Published: almost 5 years ago

10.3389/fnagi.2019.00115

Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age
Cited by: 36
Author(s): Nicola Amoroso, Marianna La Rocca, Loredana Bellantuono, Domenico Diacono, Annarita Fanizzi, Eufemia Lella, Angela Lombardi, T. Maggipinto, Sabina Tangaro, R. Bellotti
Software Mentions: 3
Published: over 5 years ago

10.2196/16850

Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey Study
Cited by: 22
Author(s): Lei Zhang, Xianwen Shang, Subhashaan Sreedharan, Xixi Yan, Jianbin Liu, Stuart Keel, Jinrong Wu, Wei Peng, Mingguang He
Software Mentions: 2
Published: over 4 years ago

10.3389/fpsyt.2020.619629

Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019
Cited by: 10
Author(s): Angela Lombardi, A. Monaco, Giacinto Donvito, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro
Software Mentions: 2
Published: almost 4 years ago

10.31557/APJCP.2020.21.11.3211

Prediction of Cranial Radiotherapy Treatment in Pediatric Acute Lymphoblastic Leukemia Patients Using Machine Learning: A Case Study at MAHAK Hospital
Cited by: 6
Author(s): Amir Arash Kashef, Toktam Khatibi, Azim Mehrvar
Software Mentions: 2
Published: about 4 years ago

10.3390/genes11091076

Annotation of Human Exome Gene Variants with Consensus Pathogenicity
Cited by: 3
Author(s): Victor Jaravine, James Balmford, Patrick Bastos Metzger, Melanie Boerries, Harald Binder, Martin Boeker
Software Mentions: 2
Published: about 4 years ago

10.1117/1.JBO.26.5.052912

Machine learning to extract physiological parameters from multispectral diffuse reflectance spectroscopy
Cited by: 12
Author(s): Mayna H. Nguyen, Yao Zhang, Frank Wang, Jose De La Garza Evia Linan, Mia K. Markey, James W. Tunnell
Software Mentions: 2
Published: over 3 years ago

10.3390/metabo9020027

Metabolomic Profiling of Cerebral Palsy Brain Tissue Reveals Novel Central Biomarkers and Biochemical Pathways Associated with the Disease: A Pilot Study
Cited by: 14
Author(s): Zeynep Alpay Savasan, Ali Yılmaz, Zafer Ugur, Buket Aydas, Ray O. Bahado‐Singh, Stewart F. Graham
Software Mentions: 2
Published: almost 6 years ago

10.1038/s41598-019-50635-w

Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates
Cited by: 29
Author(s): Reda Rawi, Raghvendra Mall, Chen‐Hsiang Shen, S. Katie Farney, Andrea R Shiakolas, Jing Zhou, Halima Bensmail, Tae‐Wook Chun, Nicole A. Doria‐Rose, Rebecca M. Lynch, John R. Mascola, Peter D. Kwong, Gwo-Yu Chuang
Software Mentions: 2
Published: about 5 years ago

10.1371/journal.pone.0211445

An ecologically constrained procedure for sensitivity analysis of Artificial Neural Networks and other empirical models
Cited by: 12
Author(s): Simone Franceschini, Lorenzo Tancioni, Massimo Lorenzoni, F. Mattei, Michele Scardi
Software Mentions: 2
Published: almost 6 years ago

10.1371/journal.pone.0248375

Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer’s disease
Cited by: 18
Author(s): Ray O. Bahado‐Singh, Sangeetha Vishweswaraiah, Buket Aydas, Raghu Metpally, David J. Carey, Richard C. Crist, Wade H. Berrettini, George Wilson, Khalid Imam, Michael Maddens, Halil Bişğin, Stewart F. Graham, Uppala Radhakrishna
Software Mentions: 2
Published: over 3 years ago

Projects: pypi: h2o

Papers Mentioning h2o 43