pypi: sklearn | Projects | Ecosyste.ms: Papers

10.3389/fimmu.2021.631226

Inflammation and Antiviral Immune Response Associated With Severe Progression of COVID-19
Cited by: 45
Author(s): Qiong Zhang, Yuting Meng, Kaihang Wang, Xujun Zhang, Wenbiao Chen, Jifang Sheng, Yunqing Qiu, Hongyan Diao, Lanjuan Li
Software Mentions: 2
Published: almost 4 years ago

10.1038/s41598-020-80795-z

Descriptor selection for predicting interfacial thermal resistance by machine learning methods
Cited by: 3
Author(s): Xiaojuan Tian, Mingguang Chen
Software Mentions: 2
Published: almost 4 years ago

10.1038/s41598-020-80132-4

A functional spiking neuronal network for tactile sensing pathway to process edge orientation
Cited by: 14
Author(s): Adel Parvizi-Fard, Mahmood Amiri, Deepesh Kumar, Mark M. Iskarous, Nitish V. Thakor
Software Mentions: 2
Published: almost 4 years ago

10.1371/journal.pone.0246980

Development and validation of a cellular host response test as an early diagnostic for sepsis
Cited by: 17
Author(s): Lionel Guillou, Roya Sheybani, Anne E. Jensen, Dino Di Carlo, Terrell Caffery, Christopher Thomas, Ajay Shah, Henry T. K. Tse, Hollis R. O’Neal
Software Mentions: 2
Published: over 3 years ago

10.3389/fmed.2021.673876

Pre-Operative Prediction of Mediastinal Node Metastasis Using Radiomics Model Based on 18F-FDG PET/CT of the Primary Tumor in Non-Small Cell Lung Cancer Patients
Cited by: 7
Author(s): Kai Zheng, Xinrong Wang, Chengzhi Jiang, Yongxiang Tang, Zhihui Fang, Jing Hou, Zehua Zhu, Shuo Hu
Software Mentions: 2
Published: over 3 years ago

10.1038/s41598-021-81431-0

A dynamic prediction model for prognosis of acute-on-chronic liver failure based on the trend of clinical indicators
Cited by: 15
Author(s): Zepeng Yu, Yu Zhang, Yingying Cao, Manman Xu, Shaoli You, Yu Chen, Bing Zhu, Ming Kong, Fang-Jiao Song, Shaojie Xin, Zhongping Duan, Tao Han
Software Mentions: 2
Published: almost 4 years ago

10.3390/molecules25204665

Rapid Identification of Different Grades of Huangshan Maofeng Tea Using Ultraviolet Spectrum and Color Difference
Cited by: 13
Author(s): Danyi Huang, Qinli Qiu, Yinmao Wang, Yu Wang, Yao Lu, Daiming Fan, Xiaochang C. Wang
Software Mentions: 2
Published: about 4 years ago

10.1093/gigascience/giab023

Synonymous variants that disrupt messenger RNA structure are significantly constrained in the human population
Cited by: 12
Author(s): Jeff Gaither, Grant Lammi, James L. Li, David Gordon, Harkness Kuck, Benjamin J. Kelly, James Fitch, Peter White
Software Mentions: 2
Published: over 3 years ago

10.1371/journal.pcbi.1007626

Mathematical modeling to reveal breakthrough mechanisms in the HIV Antibody Mediated Prevention (AMP) trials
Cited by: 18
Author(s): Daniel B. Reeves, Yunda Huang, Elizabeth R Duke, Bryan T. Mayer, E Fabian Cardozo-Ojeda, Florencia A.T. Boshier, David A. Swan, Morgane Rolland, Merlin L. Robb, John R. Mascola, Myron S. Cohen, Lawrence Corey, Peter B. Gilbert, Joshua T. Schiffer
Software Mentions: 2
Published: over 4 years ago

10.3389/fgene.2021.658078

Predicting HIV-1 Protease Cleavage Sites With Positive-Unlabeled Learning
Cited by: 8
Author(s): Zhenfeng Li, Lun Hu, Zehai Tang, Cheng Zhao
Software Mentions: 1
Published: over 3 years ago

10.1038/s42003-020-01350-0

Spatiotemporal identification of druggable binding sites using deep learning
Cited by: 35
Author(s): Igor Kozlovskii, Petr Popov
Software Mentions: 1
Published: about 4 years ago

10.3389/fgene.2019.00922

Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data
Cited by: 44
Author(s): Wouter Deelder, Sofia Christakoudi, Jody Phelan, Ernest Diez Benavente, Susana Campino, Ruth McNerney, Luigi Palla, Taane G. Clark
Software Mentions: 1
Published: about 5 years ago

10.3389/fgene.2019.00080

Deep Learning Based Analysis of Histopathological Images of Breast Cancer
Cited by: 161
Author(s): Juanying Xie, Ran Liu, Joseph Luttrell, Chaoyang Zhang
Software Mentions: 1
Published: almost 6 years ago

10.3389/fnhum.2018.00187

In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI
Cited by: 77
Author(s): Thibault Gateau, Hasan Ayaz, Frédéric Dehais
Software Mentions: 1
Published: over 6 years ago

10.3389/fnhum.2020.604639

Recognition of Consumer Preference by Analysis and Classification EEG Signals
Cited by: 22
Author(s): Mashael Aldayel, Mourad Ykhlef, Abeer Al-Nafjan
Software Mentions: 1
Published: almost 4 years ago

10.3389/fimmu.2021.627813

Machine Learning Analysis of Naïve B-Cell Receptor Repertoires Stratifies Celiac Disease Patients and Controls
Cited by: 28
Author(s): Or Shemesh, Pazit Polak, Knut E.A. Lundin, Ludvig M. Sollid, Gur Yaari
Software Mentions: 1
Published: over 3 years ago

10.3389/fimmu.2019.01516

Single T Cell Sequencing Demonstrates the Functional Role of αβ TCR Pairing in Cell Lineage and Antigen Specificity
Cited by: 65
Author(s): Jason A. Carter, Jonathan Preall, Kristina Grigaityte, Stephen J. Goldfless, Eric Jeffery, Adrian W. Briggs, François Vigneault, Gurinder S. Atwal
Software Mentions: 1
Published: over 5 years ago

10.3389/fimmu.2020.00071

A Hybrid Model for Predicting Pattern Recognition Receptors Using Evolutionary Information
Cited by: 14
Author(s): Dilraj Kaur, Chakit Arora, Gajendra P. S. Raghava
Software Mentions: 1
Published: almost 5 years ago

10.3390/cancers13164197

Chromoanagenesis Landscape in 10,000 TCGA Patients
Cited by: 1
Author(s): Roni Rasnic, Michal Linial
Software Mentions: 1
Published: over 3 years ago

10.3390/cancers13133108

Discovering Digital Tumor Signatures—Using Latent Code Representations to Manipulate and Classify Liver Lesions
Cited by: 1
Author(s): Jens Kleesiek, Benedikt Kersjes, Kai Ueltzhöffer, Jacob M Murray, Carsten Rother, Ullrich Köthe, Heinz‐Peter Schlemmer
Software Mentions: 1
Published: over 3 years ago

10.3389/fmed.2020.605746

Texture Analysis of 18F-FDG PET/CT for Differential Diagnosis Spinal Metastases
Cited by: 7
Author(s): Xin Fan, Han Zhang, Yuzhen Yin, Jiajia Zhang, Mengdie Yang, Shanshan Qin, Xiaoying Zhang, Fei Yu
Software Mentions: 1
Published: almost 4 years ago

10.3389/fmicb.2020.00048

Evaluation of Machine Learning Models for Predicting Antimicrobial Resistance of Actinobacillus pleuropneumoniae From Whole Genome Sequences
Cited by: 38
Author(s): Zhichang Liu, Dun Deng, Huijie Lu, Jian Sun, Luchao Lv, Shuhong Li, Peng Guang-hui, Xianyong Ma, Jiazhou Li, Zhenming Li, Ting Rong, Gang Wang
Software Mentions: 1
Published: almost 5 years ago

10.3389/fmicb.2021.628426

Discovering Potential Taxonomic Biomarkers of Type 2 Diabetes From Human Gut Microbiota via Different Feature Selection Methods
Cited by: 6
Author(s): Burcu Bakır-Güngör, Osman Bulut, Amhar Jabeer, Ufuk Nalbantoğlu, Malik Yousef
Software Mentions: 1
Published: about 3 years ago

10.1371/journal.pone.0249676

Prediction of Covid-19 spreading and optimal coordination of counter-measures: From microscopic to macroscopic models to Pareto fronts
Cited by: 8
Author(s): Hanna Wulkow, Tim Conrad, Nataša Djurdjevac Conrad, Sebastian Alexander Müller, Kai Nagel, Christof Schütte
Software Mentions: 1
Published: over 3 years ago

10.2196/10788

Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach
Cited by: 36
Author(s): Rumeng Li, Baotian Hu, Feifan Liu, Weisong Liu, Francesca Cunningham, David D. McManus, Hong Yu
Software Mentions: 1
Published: almost 6 years ago

10.1371/journal.pone.0131792

An Evolutionary View on Disulfide Bond Connectivities Prediction Using Phylogenetic Trees and a Simple Cysteine Mutation Model
Cited by: 11
Author(s): Daniele Raimondi, Gabriele Orlando, Wim Vranken
Software Mentions: 1
Published: over 9 years ago

10.1371/journal.pone.0122199

Extraction of Pharmacokinetic Evidence of Drug–Drug Interactions from the Literature
Cited by: 30
Author(s): Artemy Kolchinsky, Anália Lourenço, Hao Wu, Lang Li, Luís M. Rocha
Software Mentions: 1
Published: over 9 years ago

10.3389/fmicb.2021.635070

Prediction of Novel Bacterial Small RNAs From RIL-Seq RNA–RNA Interaction Data
Cited by: 18
Author(s): Amir Bar, Liron Argaman, Yaël Altuvia, Hanah Margalit
Software Mentions: 1
Published: over 3 years ago

10.2196/29242

Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach
Cited by: 13
Author(s): Munirul Haque, Masud Rabbani, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, A. J. Schwichtenberg, Naveen K. Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed
Software Mentions: 1
Published: over 3 years ago

10.1371/journal.pone.0231591

Daily and seasonal fluctuation in Tawny Owl vocalization timing
Cited by: 6
Author(s): Patricia V. Agostino, Nicholas A. Lusk, Warren H. Meck, Diego A. Golombék, Guy Peryer
Software Mentions: 1
Published: over 4 years ago

10.1371/journal.pone.0254340

Machine learning based approach to exam cheating detection
Cited by: 27
Author(s): Firuz Kamalov, Hana Sulieman, David Santandreu Calonge
Software Mentions: 1
Published: over 3 years ago

10.3389/fneur.2021.704060

Forecasting Seizure Likelihood With Wearable Technology
Cited by: 29
Author(s): Rachel E Stirling, David B. Grayden, Wendyl D’Souza, Mark Cook, Ewan S. Nurse, Dean R. Freestone, Daniel E. Payne, Benjamin H. Brinkmann, Tal Pal Attia, Pedro Viana, Mark P. Richardson, Philippa J Karoly
Software Mentions: 1
Published: over 3 years ago

10.3389/fneur.2020.587587

Predictors of Mortality in Traumatic Intracranial Hemorrhage: A National Trauma Data Bank Study
Cited by: 13
Author(s): Esther Wu, Siddharth Marthi, Wael F. Asaad
Software Mentions: 1
Published: about 4 years ago

10.1371/journal.pone.0166905

Rule-Mining for the Early Prediction of Chronic Kidney Disease Based on Metabolomics and Multi-Source Data
Cited by: 19
Author(s): Margaux Luck, Gildas Bertho, Mathilde Bateson, Alexandre Karras, Anastasia Yartseva, Éric Thervet, Cécilia Damon, Nicolas Pallet
Software Mentions: 1
Published: about 8 years ago

10.3389/fnins.2021.727448

Sub-Optimality of the Early Visual System Explained Through Biologically Plausible Plasticity
Cited by: 3
Author(s): Tushar Chauhan, Timothée Masquelier, Benoit R. Cottereau
Software Mentions: 1
Published: about 3 years ago

10.1371/journal.pone.0215216

Emotion classification using a CNN_LSTM-based model for smooth emotional synchronization of the humanoid robot REN-XIN
Cited by: 5
Author(s): Ning Liu, Fuji Ren
Software Mentions: 1
Published: over 5 years ago

10.3389/fnins.2021.697168

Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study
Cited by: 10
Author(s): Jinyu Zang, Yuanyuan Huang, Lingyin Kong, Bingye Lei, Pengfei Ke, Hehua Li, Jing Zhou, Dongsheng Xiong, Guixiang Li, Jun Chen, Xiaobo Li, Zhiming Xiang, Yuping Ning, Fengchun Wu, Kai Wu
Software Mentions: 1
Published: over 3 years ago

10.3389/fnins.2021.629892

Learning Without Feedback: Fixed Random Learning Signals Allow for Feedforward Training of Deep Neural Networks
Cited by: 24
Author(s): Charlotte Frenkel, Martin Lefebvre, David Bol
Software Mentions: 1
Published: almost 4 years ago

10.1371/journal.pone.0142753

miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences
Cited by: 23
Author(s): Haibo Cui, Jingjing Zhai, Chuang Ma
Software Mentions: 1
Published: about 9 years ago

10.1371/journal.pone.0231300

Feature engineering with clinical expert knowledge: A case study assessment of machine learning model complexity and performance
Cited by: 17
Author(s): Kenneth D. Roe, Vibhu Jawa, Xiaohan Zhang, Christopher G Chute, Jeremy A. Epstein, Jordan Matelsky, Ilya Shpitser, Casey Overby Taylor
Software Mentions: 1
Published: over 4 years ago

10.1371/journal.pone.0181618

From grid cells to place cells with realistic field sizes
Cited by: 23
Author(s): Torsten Neher, Amir Azizi, Sen Cheng
Software Mentions: 1
Published: over 7 years ago

10.2196/19975

Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data
Cited by: 13
Author(s): Ryzen Benson, Mengke Hu, Annie Chen, Subhadeep Nag, Shu‐Hong Zhu, Mike Conway
Software Mentions: 1
Published: about 4 years ago

10.1155/2017/5985479

Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics
Cited by: 24
Author(s): Vladimir S. Kublanov, Anton Yu. Dolganov, David Belo, Hugo Gamboa
Software Mentions: 1
Published: almost 8 years ago

10.3389/fphar.2017.00864

Mechanism of Chinese Medicine Herbs Effects on Chronic Heart Failure Based on Metabolic Profiling
Cited by: 14
Author(s): Kuo Gao, Huihui Zhao, Jian Gao, Binyu Wen, Caixia Jia, Zhiyong Wang, Feilong Zhang, Jinping Wang, Hua Xie, Juan Wang, Wei Wang, Jianxin Chen
Software Mentions: 1
Published: almost 7 years ago

10.3389/fphys.2019.01193

Machine Learning Approach to Predict Ventricular Fibrillation Based on QRS Complex Shape
Cited by: 28
Author(s): Getu Tadele Taye, Eun Bo Shim, Han-Jeong Hwang, Ki Moo Lim
Software Mentions: 1
Published: about 5 years ago

10.3389/fpls.2020.583438

Improving Image-Based Plant Disease Classification With Generative Adversarial Network Under Limited Training Set
Cited by: 29
Author(s): Luning Bi, Guiping Hu
Software Mentions: 1
Published: almost 4 years ago

10.3389/fpls.2020.00004

6mA-RicePred: A Method for Identifying DNA N6-Methyladenine Sites in the Rice Genome Based on Feature Fusion
Cited by: 30
Author(s): Qianfei Huang, Jun Zhang, Leyi Wei, Fei Guo, Quan Zou
Software Mentions: 1
Published: almost 5 years ago

10.3389/fpls.2020.00099

Forest-Scale Phenotyping: Productivity Characterisation Through Machine Learning
Cited by: 20
Author(s): Maxime Bombrun, Jonathan P. Dash, David Pont, Michael S. Watt, Grant D. Pearse, Heidi S. Dungey
Software Mentions: 1
Published: over 4 years ago

10.1371/journal.pcbi.1006953

Passenger mutations accurately classify human tumors
Cited by: 35
Author(s): Marina Salvadores, David Mas-Ponte, Fran Supek
Software Mentions: 1
Published: over 5 years ago

10.3389/fpsyg.2020.587413

Chinese College Students Have Higher Anxiety in New Semester of Online Learning During COVID-19: A Machine Learning Approach
Cited by: 46
Author(s): Chongying Wang, Hong Zhao, Haoran Zhang
Software Mentions: 1
Published: almost 4 years ago

10.3389/fpsyg.2017.00215

Semi-Supervised Learning of Cartesian Factors: A Top-Down Model of the Entorhinal Hippocampal Complex
Cited by: 4
Author(s): András Lörincz, András Sárkány
Software Mentions: 1
Published: over 7 years ago

10.3389/fpubh.2021.655083

Effects of the COVID-19 Pandemic on Psychological Well-Being and Mental Health Based on a German Online Survey
Cited by: 7
Author(s): Katharina Lingelbach, Daniela Piechnik, Sabrina Gado, Doris Janssen, Martin Eichler, Leopold Hentschel, Dennis Knopf, Markus Schüler, Daniel Sernatinger, Matthias Peißner
Software Mentions: 1
Published: over 3 years ago

10.3389/fpubh.2021.678276

Retrospective Study on the Influencing Factors and Prediction of Hospitalization Expenses for Chronic Renal Failure in China Based on Random Forest and LASSO Regression
Cited by: 16
Author(s): Pingping Dai, Wei-Fu Chang, Zirui Xin, Haiwei Cheng, Wei Ouyang, Aijing Luo
Software Mentions: 1
Published: over 3 years ago

10.3390/ijerph17249347

Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques
Cited by: 56
Author(s): Md. Mamunur Rashid, Joarder Kamruzzaman, Mohammad Mehedi Hassan, Tasadduq Imam, Steven Gordon
Software Mentions: 1
Published: almost 4 years ago

10.3389/fnsys.2018.00046

Neural Correlate of Transition Violation and Deviance Detection in the Songbird Auditory Forebrain
Cited by: 5
Author(s): Mingwen Dong, David S. Vicario
Software Mentions: 1
Published: about 6 years ago

10.1534/g3.119.400319

QTG-Finder: A Machine-Learning Based Algorithm To Prioritize Causal Genes of Quantitative Trait Loci in Arabidopsis and Rice
Cited by: 17
Author(s): Fan Lin, Jue Fan, Seung Y. Rhee
Software Mentions: 1
Published: about 5 years ago

10.3390/ijerph18052600

Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events
Cited by: 6
Author(s): Ioannis N. Anastopoulos, Chloe K Herczeg, Kasey N Davis, Atray Dixit
Software Mentions: 1
Published: over 3 years ago

10.1186/s13195-021-00874-9

A cross-sectional study in healthy elderly subjects aimed at development of an algorithm to increase identification of Alzheimer pathology for the purpose of clinical trial participation
Cited by: 4
Author(s): Samantha Prins, Ahnjili Zhuparris, Ellen P. Hart, Robert Doll, Geert Jan Groeneveld
Software Mentions: 1
Published: over 3 years ago

10.1371/journal.pcbi.1006625

Local epigenomic state cannot discriminate interacting and non-interacting enhancer–promoter pairs with high accuracy
Cited by: 38
Author(s): Xi Wang, M Beer
Software Mentions: 1
Published: almost 6 years ago

10.1186/s13007-021-00737-2

Comparison of new hyperspectral index and machine learning models for prediction of winter wheat leaf water content
Cited by: 18
Author(s): Juanjuan Zhang, Wen Zhang, Shuping Xiong, Zhaoxiang Song, Weihua Tian, Lei Shi, Xinming Ma
Software Mentions: 1
Published: over 3 years ago

10.3390/ijerph18136730

Identifying Predictors of University Students’ Wellbeing during the COVID-19 Pandemic—A Data-Driven Approach
Cited by: 43
Author(s): Chang Liu, Melinda McCabe, Andrew Dawson, Chad Cyrzon, Shruthi Shankar, Nardin Gerges, Sebastian Kellett-Renzella, Yann Chye, Kim Cornish
Software Mentions: 1
Published: over 3 years ago

10.3390/ijerph18147466

Classical and Neural Network Machine Learning to Determine the Risk of Marijuana Use
Cited by: 3
Author(s): Laura Zoboroski, Torrey Wagner, Brent T. Langhals
Software Mentions: 1
Published: over 3 years ago

10.1186/s13059-020-02220-y

MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumors
Cited by: 7
Author(s): Justin Williams, Beisi Xu, Daniel K. Putnam, Andrew Thrasher, Chunliang Li, Jun Yang, Xiang Chen
Software Mentions: 1
Published: almost 4 years ago

10.3390/vision3030047

An Adaptive Homeostatic Algorithm for the Unsupervised Learning of Visual Features
Cited by: 5
Author(s): Laurent Perrinet
Software Mentions: 1
Published: about 5 years ago

10.1186/s13059-021-02458-0

Easy-Prime: a machine learning–based prime editor design tool
Cited by: 19
Author(s): Yichao Li, Jingjing Chen, Shengdar Q. Tsai, Yong Cheng
Software Mentions: 1
Published: over 3 years ago

10.1136/gutjnl-2019-318263

Modulation of cytokine patterns and microbiome during pregnancy in IBD
Cited by: 58
Author(s): Janine van der Giessen, Dana Binyamin, Anna Belogolovski, S. Frishman, Kinneret Tenenbaum-Gavish, Eran Hadar, Yoram Louzoun, Maikel P. Peppelenbosch, C. Janneke van der Woude, Omry Koren, Gwenny M. Fuhler
Software Mentions: 1
Published: over 5 years ago

10.1109/access.2020.3009902

Inverse Feature Learning: Feature Learning Based on Representation Learning of Error
Cited by: 2
Author(s): Behzad Ghazanfari, Fatemeh Afghah, Mohammad Taghi Hajiaghayi
Software Mentions: 1
Published: almost 5 years ago

10.3390/mi12010073

Image Pre-Processing Method of Machine Learning for Edge Detection with Image Signal Processor Enhancement
Cited by: 12
Author(s): Keumsun Park, Minah Chae, Jaehyuk Cho
Software Mentions: 1
Published: almost 4 years ago

10.1007/s11517-017-1774-z

Classification of micro-calcification in mammograms using scalable linear Fisher discriminant analysis
Cited by: 20
Author(s): Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar
Software Mentions: 1
Published: almost 7 years ago

10.1186/s40537-021-00428-8

An alternative approach to dimension reduction for pareto distributed data: a case study
Cited by: 25
Author(s): Marco Roccetti, Giovanni Delnevo, Luca Casini, Silvia Mirri
Software Mentions: 1
Published: over 3 years ago

10.1186/s12968-017-0399-6

High-resolution and accelerated multi-parametric mapping with automated characterization of vessel disease using intravascular MRI
Cited by: 8
Author(s): Guan Wang, Yi Zhang, Shashank Hegde, Paul A. Bottomley
Software Mentions: 1
Published: about 7 years ago

10.1016/j.mtbio.2020.100083

Sustainable plant polyesters as substrates for optical gas sensors
Cited by: 6
Author(s): Rúben Rodrigues, Susana Palma, Vanessa G. Correia, Inês Padrão, Joana Pais, M. Banza, Cláudia Alves, Jonas Deuermeier, Celso Martins, Henrique M. A. Costa, Efthymia Ramou, Cristina Silva Pereira, Ana C. A. Roque
Software Mentions: 1
Published: about 4 years ago

10.3390/ma12244150

Experimental Investigation and Optimal Prediction of Maximum Forming Angle and Surface Roughness of an Al/SUS Bimetal Sheet in an Incremental Forming Process Using Machine Learning
Cited by: 11
Author(s): Raneen Abd Ali, Wenliang Chen, M.S.H. Al-Furjan, Jin Xia, Ziyu Wang
Software Mentions: 1
Published: almost 5 years ago

10.7554/eLife.66551

Interpreting wide-band neural activity using convolutional neural networks
Cited by: 13
Author(s): Markus Frey, Sander Tanni, Catherine Perrodin, Alice O’Leary, Matthias Nau, Jack Kelly, Andrea Banino, Daniel Bendor, Julie Lefort, Christian F. Doeller, Caswell Barry
Software Mentions: 1
Published: over 3 years ago

10.1016/j.resplu.2020.100046

Random forest machine learning method outperforms prehospital National Early Warning Score for predicting one-day mortality: A retrospective study
Cited by: 10
Author(s): Jussi Pirneskoski, Joonas Tamminen, Antti Kallonen, Jouni Nurmi, Markku Kuisma, Klaus T. Olkkola, Sanna Hoppu
Software Mentions: 1
Published: almost 4 years ago

10.1186/s12284-021-00479-8

Evolutionary Processes Involved in the Emergence and Expansion of an Atypical O. sativa Group in Madagascar
Cited by: 3
Author(s): Nourollah Ahmadi, Alain Ramanantsoanirina, João dos Santos, Julien Frouin, Tendro Radanielina
Software Mentions: 1
Published: over 3 years ago

10.1007/s10334-021-00914-3

Multiple b-values improve discrimination of cortical gray matter regions using diffusion MRI: an experimental validation with a data-driven approach
Cited by: 1
Author(s): Tara Ganepola, Yoojin Lee, Daniel C. Alexander, Martin I. Sereno, Zoltán Nagy
Software Mentions: 1
Published: over 3 years ago

10.3390/life10090181

Machine Learning Approach to Raman Spectrum Analysis of MIA PaCa-2 Pancreatic Cancer Tumor Repopulating Cells for Classification and Feature Analysis
Cited by: 10
Author(s): Christopher Mandrell, Torrey Holland, James F. Wheeler, Sakineh M. A. Esmaeili, Kshitij Amar, Farhan Chowdhury, P. Sivakumar
Software Mentions: 1
Published: about 4 years ago

10.7554/eLife.64993

Probing the decision-making mechanisms underlying choice between drug and nondrug rewards in rats
Cited by: 3
Author(s): Youna Vandaele, Michel Lenoir, Caroline Vouillac‐Mendoza, Karine Guillem, Serge H. Ahmed
Software Mentions: 1
Published: over 3 years ago

10.1186/s40708-021-00133-5

Evaluating deep learning EEG-based mental stress classification in adolescents with autism for breathing entrainment BCI
Cited by: 19
Author(s): Alamelu Sundaresan, Brian Penchina, Sean Cheong, Victoria Grace, Antoni Valero‐Cabré, Adrien Martel
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-018-22020-6

Body temperature measurement in mice during acute illness: implantable temperature transponder versus surface infrared thermometry
Cited by: 51
Author(s): Jie Mei, Nico Riedel, Ulrike Grittner, Matthias Endres, Stefanie Banneke, J Emmrich
Software Mentions: 1
Published: over 6 years ago

10.1038/s41598-018-23685-9

Predicting individual responses to the electroconvulsive therapy with hippocampal subfield volumes in major depression disorder
Cited by: 90
Author(s): Bo Cao, Qiang Luo, Yixiao Fu, Du Li, Tian Qiu, Xiangying Yang, Xiaolu Chen, Qibin Chen, Jair C. Soares, Raymond Y. Cho, Xiang Yang Zhang, Hu Qiu
Software Mentions: 1
Published: over 6 years ago

10.3390/bios11010002

A Label-Free Optical Detection of Pathogens in Isopropanol as a First Step towards Real-Time Infection Prevention
Cited by: 2
Author(s): Julie Claudinon, Siegfried Steltenkamp, Manuel Fink, Taras Sych, Benoît Verreman, Winfried Römer, Morgan Madec
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-018-35274-x

Deep transfer learning-based hologram classification for molecular diagnostics
Cited by: 46
Author(s): Sungjin Kim, Chuangqi Wang, Bing Zhao, Hyungsoon Im, Jouha Min, Hee June Choi, Joseph Tadros, Nu Ri Choi, Cesar M. Castro, Ralph Weissleder, Hakho Lee, Kwonmoo Lee
Software Mentions: 1
Published: about 6 years ago

10.3390/biom9100607

Unsupervised and Supervised Learning over the Energy Landscape for Protein Decoy Selection
Cited by: 7
Author(s): Nasrin Akhter, Gopinath Chennupati, Kazi Lutful Kabir, Hristo Djidjev, Amarda Shehu
Software Mentions: 1
Published: about 5 years ago

10.1186/s12859-021-04131-6

Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact on women psychology: Bangladeshi perspective
Cited by: 10
Author(s): Sayed Asaduzzaman, Md. Raihan Ahmed, Hasin Rehana, Setu Chakraborty, Md. Shariful Islam, Touhid Bhuiyan
Software Mentions: 1
Published: over 3 years ago

10.3390/biom11020307

Imaging-Based Staging of Hepatic Fibrosis in Patients with Hepatitis B: A Dynamic Radiomics Model Based on Gd-EOB-DTPA-Enhanced MRI
Cited by: 4
Author(s): Rencheng Zheng, Chunzi Shi, Chengyan Wang, Nannan Shi, Tianyi Qiu, Weibo Chen, Yuxin Shi, He Wang
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-019-47594-7

PACES: prediction of N4-acetylcytidine (ac4C) modification sites in mRNA
Cited by: 31
Author(s): Wanqing Zhao, Yiran Zhou, Qinghua Cui, Yuan Zhou
Software Mentions: 1
Published: over 5 years ago

10.1038/s41598-019-56482-z

Quantifying free behaviour in an open field using k-motif approach
Cited by: 0
Author(s): Marein Könings, Mark Blokpoel, Katarzyna Kapusta, Tom Claassen, Jan K. Buitelaar, Jeffrey Glennon, Natalia Bielczyk
Software Mentions: 1
Published: almost 5 years ago

10.1038/s41598-020-61123-x

Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: the Henan Rural Cohort Study
Cited by: 57
Author(s): Liying Zhang, Yikang Wang, Miaomiao Niu, Chongjian Wang, Zhenfei Wang
Software Mentions: 1
Published: over 4 years ago

10.3390/ijms20163959

Combination of Fetal Fraction Estimators Based on Fragment Lengths and Fragment Counts in Non-Invasive Prenatal Testing
Cited by: 11
Author(s): Juraj Gazdarica, Rastislav Hekel, Jaroslav Budiš, Marcel Kucharík, František Ďuriš, Ján Radvánszky, Ján Turňa, Tomáš Szemes
Software Mentions: 1
Published: over 5 years ago

10.1038/s41598-020-66260-x

Paroxysmal eruptions tracked by variations of helium isotopes: inferences from Piton de la Fournaise (La Réunion island)
Cited by: 13
Author(s): Guillaume Boudoire, Andrea Luca Rizzo, Ilenia Arienzo, Andréa Di Muro
Software Mentions: 1
Published: over 4 years ago

10.3390/ijms20184362

Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning
Cited by: 3
Author(s): Cristian R. Munteanu, Marcos Gestal, Yunuen G. Martínez-Acevedo, Nieves Pedreira, Alejandro Pazos, Julián Dorado
Software Mentions: 1
Published: about 5 years ago

10.3390/ijms21030713

Flexible Data Trimming Improves Performance of Global Machine Learning Methods in Omics-Based Personalized Oncology
Cited by: 18
Author(s): Victor Tkachev, Maxim Sorokin, Constantin Borisov, Andrew Garazha, Anton Buzdin, Nicolas Borisov
Software Mentions: 1
Published: almost 5 years ago

10.3390/ijms21239258

Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis—Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients
Cited by: 16
Author(s): Rosanna Papa, Stefania Garzoli, Gianluca Vrenna, Manuela Sabatino, Filippo Sapienza, Michela Relucenti, Orlando Donfrancesco, Ersilia Fiscarelli, Marco Artini, Laura Selan, Rino Ragno
Software Mentions: 1
Published: almost 4 years ago

10.1186/s12888-021-03184-4

Simple action for depression detection: using kinect-recorded human kinematic skeletal data
Cited by: 9
Author(s): Wentao Li, Qingxiang Wang, Xin Liu, Y. H. Yu
Software Mentions: 1
Published: over 3 years ago

10.1186/s12887-020-02392-3

Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth – a four-year prospective study
Cited by: 4
Author(s): Elizabeth Harrison, Sana Syed, Lubaina Ehsan, Najeeha Talat Iqbal, Kamran Sadiq, Fayyaz Umrani, Sheraz Ahmed, Najeeb Rahman, Sadaf Jakhro, Z. Jennie, Molly A. Hughes, Syed Asad Ali
Software Mentions: 1
Published: about 4 years ago

10.1038/s41598-020-80345-7

Assessing ZNF154 methylation in patient plasma as a multicancer marker in liquid biopsies from colon, liver, ovarian and pancreatic cancer patients
Cited by: 16
Author(s): Brendan Miller, Hanna M. Petrykowska, Laura Elnitski
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41598-021-82213-4

Virome-wide serological profiling reveals association of herpesviruses with obesity
Cited by: 15
Author(s): Mohammad Rubayet Hasan, Mahbuba Rahman, Taushif Khan, Amira Saeed, Sathyavathi Sundararaju, Annaliza Flores, Phillip Hawken, Arun K. Rawat, Naser Elkum, Khalid Hussain, Rusung Tan, Patrick Tang, Nico Marr
Software Mentions: 1
Published: almost 4 years ago

10.1186/s12891-021-04514-z

Identifying discriminative features for diagnosis of Kashin-Beck disease among adolescents
Cited by: 8
Author(s): Yanan Zhang, Xiaoli Wei, Chunxia Cao, Fangfang Yu, Wenrong Li, Guanghui Zhao, Haiyan Wei, Fenge Zhang, Peilin Meng, Shuang Sun, Mikko J. Lammi, Xiong Guo
Software Mentions: 1
Published: about 3 years ago

Projects: pypi: sklearn

Papers Mentioning sklearn 559