pypi: scikit-learn | Projects | Ecosyste.ms: Papers

10.3390/diagnostics11060943

Machine Learning-Based Cardiovascular Disease Prediction Model: A Cohort Study on the Korean National Health Insurance Service Health Screening Database
Cited by: 22
Author(s): Joung Ouk Ryan Kim, Yong-Suk Jeong, Jin Ho Kim, Jong Weon Lee, Dougho Park, Hyoung Seop Kim
Software Mentions: 1
Published: over 3 years ago

10.3390/diagnostics11040612

Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning Techniques
Cited by: 14
Author(s): Young Jae Kim, Ji Soo Jeon, Seo‐Eun Cho, Kwang Gi Kim, Kyoung-Sae Na
Software Mentions: 1
Published: over 3 years ago

10.1016/j.compbiomed.2020.103895

A computational investigation into rate-dependant vectorcardiogram changes due to specific fibrosis patterns in non-ischæmic dilated cardiomyopathy
Cited by: 7
Author(s): Philip Gemmell, Karli Gillette, Gabriel Balaban, Ronak Rajani, Edward J. Vigmond, Martin J. Bishop
Software Mentions: 1
Published: over 4 years ago

10.1007/s40747-021-00371-4

O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classification
Cited by: 7
Author(s): Manisha Jangra, Sanjeev Kumar Dhull, Krishna Kant Singh, Akansha Singh, Xiaochun Cheng
Software Mentions: 1
Published: over 3 years ago

10.1038/s42003-021-01709-x

HDXmodeller: an online webserver for high-resolution HDX-MS with auto-validation
Cited by: 8
Author(s): Ramin Ekhteiari Salmas, Antoni J. Borysik
Software Mentions: 1
Published: almost 4 years ago

10.1186/s12911-019-1008-4

Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networks
Cited by: 19
Author(s): Sung Mo Ryu, Sung Wook Seo, Sun-Ho Lee
Software Mentions: 1
Published: almost 5 years ago

10.1186/s12911-019-0782-3

Identifying peer experts in online health forums
Cited by: 15
Author(s): V. G. Vinod Vydiswaran, Manoj Reddy
Software Mentions: 1
Published: over 5 years ago

10.1038/s42003-019-0456-9

GECKO is a genetic algorithm to classify and explore high throughput sequencing data
Cited by: 16
Author(s): Aubin Thomas, Sylvain Barriere, Lucile Broseus, Julie Brooke, Claudio Lorenzi, Jean-Philippe Villemin, Grégory Beurier, Robert Sabatier, Christelle Reynès, Alban Mancheron, William Ritchie
Software Mentions: 1
Published: over 5 years ago

10.1038/s42003-021-02393-7

Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockade
Cited by: 6
Author(s): Michelle Przedborski, Munisha Smalley, Saravanan Thiyagarajan, Aaron Goldman, Mohammad Kohandel
Software Mentions: 1
Published: over 3 years ago

10.1186/s12911-021-01489-8

Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methods
Cited by: 6
Author(s): Huan Chen, Yingying Ma, Na Hong, Hao Wang, Longxiang Su, Chun Li, Jie He, Huizhen Jiang, Yun Long, Weiguo Zhu
Software Mentions: 1
Published: over 3 years ago

10.1186/s13634-021-00755-1

A comparative study of multiple neural network for detection of COVID-19 on chest X-ray
Cited by: 28
Author(s): Shazia Anis, Tan Zi Xuan, Joon Huang Chuah, Juliana Usman, Pengjiang Qian, Khin Wee Lai
Software Mentions: 1
Published: over 3 years ago

10.1186/s12911-020-01326-4

Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data
Cited by: 9
Author(s): Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo
Software Mentions: 1
Published: almost 4 years ago

10.3390/e22020193

Deep Residual Learning for Nonlinear Regression
Cited by: 37
Author(s): Dongwei Chen, Fei Hu, Guokui Nian, Tiantian Yang
Software Mentions: 1
Published: almost 5 years ago

10.3390/e22111191

Analysis of Factors Contributing to the Severity of Large Truck Crashes
Cited by: 16
Author(s): Jinhong Li, Jinli Liu, Pengfei Liu, Yi Qi
Software Mentions: 1
Published: about 4 years ago

10.1186/s12911-019-0781-4

Clinical text classification with rule-based features and knowledge-guided convolutional neural networks
Cited by: 76
Author(s): Yao Liang, Chengsheng Mao, Yuan Luo
Software Mentions: 1
Published: over 5 years ago

10.1007/s10439-020-02591-0

Quantification of Myocardial Blood Flow by Machine Learning Analysis of Modified Dual Bolus MRI Examination
Cited by: 2
Author(s): Minna Husso, Isaac O. Afara, Mikko J. Nissi, Antti Kuivanen, Paavo Halonen, Miikka Tarkia, Jarmo Teuho, Virva Saunavaara, Pauli Vainio, Petri Sipola, Hannu Manninen, Seppo Ylä‐Herttuala, Juhani Knuuti, Juha Töyräs
Software Mentions: 1
Published: over 4 years ago

10.1371/journal.pone.0252402

Crop yield prediction integrating genotype and weather variables using deep learning
Cited by: 59
Author(s): Johnathon M. Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh
Software Mentions: 1
Published: over 3 years ago

10.1371/journal.pone.0202652

Predicting improved protein conformations with a temporal deep recurrent neural network
Cited by: 14
Author(s): Erik Pfeiffenberger, Paul A. Bates
Software Mentions: 1
Published: about 6 years ago

10.1371/journal.pone.0228579

Towards story-based classification of movie scenes
Cited by: 4
Author(s): Chang Liu, Armin Shmilovici
Software Mentions: 1
Published: almost 5 years ago

10.1186/s12911-021-01582-y

Privacy-preserving dataset combination and Lasso regression for healthcare predictions
Cited by: 12
Author(s): Marie Beth van Egmond, Gabriele Spini, Onno van der Galiën, Arne IJpma, Thijs Veugen, Wessel Kraaij, Alex Sangers, Thomas Rooijakkers, Peter Langenkamp, Bart Kamphorst, Natasja van de L’Isle, Milena Kooij-Janic
Software Mentions: 1
Published: about 3 years ago

10.3390/e23040407

Differential Replication for Credit Scoring in Regulated Environments
Cited by: 0
Author(s): Irene Unceta, Jordi Nin, Oriol Pujol
Software Mentions: 1
Published: over 3 years ago

10.3390/e23081047

Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face Recognition
Cited by: 5
Author(s): Danilo Franco, Luca Oneto, Nicolò Navarin, Davide Anguita
Software Mentions: 1
Published: over 3 years ago

10.3390/e23080964

Learning Ordinal Embedding from Sets
Cited by: 0
Author(s): Aïssatou Diallo, Johannes Fürnkranz
Software Mentions: 1
Published: over 3 years ago

10.3390/e23030286

Conditional Entropy: A Potential Digital Marker for Stress
Cited by: 8
Author(s): Soheil Keshmiri
Software Mentions: 1
Published: over 3 years ago

10.3390/e23081009

A Hybrid Analysis-Based Approach to Android Malware Family Classification
Cited by: 16
Author(s): Chao Ding, Nurbol Luktarhan, Bei Lu, Wenhui Zhang
Software Mentions: 1
Published: over 3 years ago

10.1186/s12911-021-01591-x

Improvement of APACHE II score system for disease severity based on XGBoost algorithm
Cited by: 8
Author(s): Yan Luo, Zhiyu Wang, Cong Wang
Software Mentions: 1
Published: over 3 years ago

10.3390/e22070797

Multi-Label Feature Selection Based on High-Order Label Correlation Assumption
Cited by: 17
Author(s): Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li
Software Mentions: 1
Published: over 4 years ago

10.1371/journal.pone.0207926

Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models
Cited by: 28
Author(s): Fulvia Ceccarelli, Marco Sciandrone, Carlo Perricone, Giulio Galvan, Enrica Cipriano, Alessandro Galligari, Tommaso Levato, Tania Colasanti, Laura Massaro, Francesco Natalucci, Francesca Romana Spinelli, Cristiano Alessandri, Guido Valesini, Fabrizio Conti
Software Mentions: 1
Published: almost 6 years ago

10.3390/e21121181

Nonlinear Information Bottleneck
Cited by: 71
Author(s): Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
Software Mentions: 1
Published: almost 5 years ago

10.1007/s10661-020-08403-1

Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey
Cited by: 3
Author(s): Peter C. Van Metre, Sharon L. Qi, Jeffrey R. Deacon, Cheryl A. Dieter, Jessica M. Driscoll, Michael N. Fienen, Terry A. Kenney, Patrick M. Lambert, David Lesmes, Christopher A. Mason, Anke Mueller–Solger, MaryLynn Musgrove, Jaime A. Painter, Donald O. Rosenberry, Lori A. Sprague, Anthony J. Tesoriero, Lisamarie Windham‐Myers, David M. Wolock
Software Mentions: 1
Published: over 4 years ago

10.1371/journal.pone.0249318

Clustered embedding using deep learning to analyze urban mobility based on complex transportation data
Cited by: 1
Author(s): Sung Bae Cho, Jin Young Kim
Software Mentions: 1
Published: over 3 years ago

10.1371/journal.pone.0236092

Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measures
Cited by: 26
Author(s): Bence Ferdinandy, László Gerencsér, Luca Corrieri, Paula Carballo Pérez, Dóra Újváry, Gábor Csizmadia, Ádám Miklósi
Software Mentions: 1
Published: over 4 years ago

10.1007/s00330-020-07417-0

Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges
Cited by: 13
Author(s): Thomas Weikert, Marco Francone, Suhny Abbara, Bettina Baeßler, Byoung Wook Choi, Matthias Gutberlet, Elizabeth M. Hecht, Christian Loewe, Élie Mousseaux, Luigi Natale, Konstantin Nikolaou, Karen Ordovás, Charles Peebles, Claudia Prieto, Rodrigo Salgado, Birgitta K. Velthuis, Rozemarijn Vliegenthart, Jens Bremerich, Tim Leiner
Software Mentions: 1
Published: about 4 years ago

10.1371/journal.pone.0226272

Predicting the occurrence of surgical site infections using text mining and machine learning
Cited by: 14
Author(s): Daniel A. da Silva, Carla S. ten Caten, Rodrigo Pires dos Santos, Flávio Sanson Fogliatto, Juliana Hsuan
Software Mentions: 1
Published: almost 5 years ago

10.1371/journal.pone.0141922

Emotional Sentence Annotation Helps Predict Fiction Genre
Cited by: 11
Author(s): Spyridon Samothrakis, Maria Fasli
Software Mentions: 1
Published: about 9 years ago

10.1007/s00330-020-07531-z

Systematic volumetric analysis predicts response to CSF drainage and outcome to shunt surgery in idiopathic normal pressure hydrocephalus
Cited by: 9
Author(s): Dan Wu, Abhay Moghekar, Wen Shi, Ari M. Blitz, Susumu Mori
Software Mentions: 1
Published: almost 4 years ago

10.1186/s12880-021-00660-x

Intelligent localization and quantitative evaluation of anterior talofibular ligament injury using magnetic resonance imaging of ankle
Cited by: 3
Author(s): Wen Yan, Xiangjun Meng, Jinglai Sun, Hui Yu, Zhi Wang
Software Mentions: 1
Published: about 3 years ago

10.1186/s12880-019-0392-7

MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features
Cited by: 58
Author(s): Xiaolu Ma, Shoukuan Fu, Yan Jia, Yuwei Xia, Yongling Li, Jianping Lu
Software Mentions: 1
Published: about 5 years ago

10.1038/s12276-020-00501-x

Brain tumor diagnostic model and dietary effect based on extracellular vesicle microbiome data in serum
Cited by: 11
Author(s): Jinho Yang, Hyo Eun Moon, Hyoung Woo Park, Andrea McDowell, Tae-Seop Shin, Young Koo Jee, Sungmin Kym, Sun Ha Paek, Eui Chong Kim
Software Mentions: 1
Published: about 4 years ago

10.1186/s12880-021-00560-0

Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models
Cited by: 18
Author(s): Zhihui Li, Xiaolu Ma, Shoukuan Fu, Haidi Lu, Yuwei Xia, Jianping Lu
Software Mentions: 1
Published: almost 4 years ago

10.1371/journal.pone.0255626

Machine learning prediction of dropping out of outpatients with alcohol use disorders
Cited by: 5
Author(s): So Jin Park, Sun Jung Lee, HyungMin Kim, Jae Kwon Kim, Ji Won Chun, Soo-Jung Lee, Hae Kook Lee, Daijin Kim, In Young Choi
Software Mentions: 1
Published: over 3 years ago

10.1186/s12920-020-00779-w

TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Cited by: 7
Author(s): Trinh Trung Duong Nguyen, Nguyen Quoc Khanh Le, Quang‐Thai Ho, Dinh-Van Phan, Yu‐Yen Ou
Software Mentions: 1
Published: about 4 years ago

10.1371/journal.pone.0256648

Random forest-integrated analysis in AD and LATE brain transcriptome-wide data to identify disease-specific gene expression
Cited by: 6
Author(s): Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng
Software Mentions: 1
Published: about 3 years ago

10.1371/journal.pone.0251553

Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence
Cited by: 1
Author(s): Shozo Sonoda, Hideki Shiihara, Hiroto Terasaki, Naoko Kakiuchi, Ryoh Funatsu, Masatoshi Tomita, Yuki Shinohara, Eisuke Uchino, Takuma Udagawa, Guangzhou An, Masahiro Akïba, Hideo Yokota, Taiji Sakamoto
Software Mentions: 1
Published: over 3 years ago

10.12688/f1000research.14050.1

Gene Unprediction with Spurio: A tool to identify spurious protein sequences
Cited by: 10
Author(s): Wolfram Höps, Matt Jeffryes, Alex Bateman
Software Mentions: 1
Published: over 6 years ago

10.1371/journal.pone.0114391

Systematic Classification of Disease Severity for Evaluation of Expanded Carrier Screening Panels
Cited by: 84
Author(s): Gabriel A. Lazarin, Felicia Hawthorne, Nicholas S. Collins, E Platt, E. Edward Evans, Imran S. Haque
Software Mentions: 1
Published: almost 10 years ago

10.3390/foods10051111

Advances in Atypical FT-IR Milk Screening: Combining Untargeted Spectra Screening and Cluster Algorithms
Cited by: 1
Author(s): Lukas Spieß, Peter de Peinder, H. van den Bijgaart
Software Mentions: 1
Published: over 3 years ago

10.1371/journal.pone.0167370

A Machine Learning Approach for Using the Postmortem Skin Microbiome to Estimate the Postmortem Interval
Cited by: 84
Author(s): Hunter R. Johnson, Donovan Trinidad, Stephania Guzman, Zenab Khan, James V. Parziale, Jennifer M. DeBruyn, Nathan H. Lents
Software Mentions: 1
Published: almost 8 years ago

10.3390/foods10040809

A Comparative Analysis of Novel Deep Learning and Ensemble Learning Models to Predict the Allergenicity of Food Proteins
Cited by: 11
Author(s): Liyang Wang, Dantong Niu, Xinjie Zhao, Xiaoya Wang, Mengzhen Hao, Huilian Che
Software Mentions: 1
Published: over 3 years ago

10.1371/journal.pone.0216493

Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning
Cited by: 42
Author(s): Carl F. Kusche, Tom Reclik, Martina Freund, Talal Al‐Samman, U. Kerzel, Sandra Korte‐Kerzel
Software Mentions: 1
Published: over 5 years ago

10.3390/foods10040785

Detection of Adulteration in Infant Formula Based on Ensemble Convolutional Neural Network and Near-Infrared Spectroscopy
Cited by: 9
Author(s): Yisen Liu, Songbin Zhou, Wei Han, Chang Li, Weixin Liu, Zefan Qiu, Hong Chen
Software Mentions: 1
Published: over 3 years ago

10.3390/foods10051010

Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques
Cited by: 11
Author(s): Francesca Venturini, Michela Sperti, Umberto Michelucci, Ivo Herzig, Michael Baumgärtner, Josep Palau Caballero, Arturo Jiménez, Marco Agostino Deriu
Software Mentions: 1
Published: over 3 years ago

10.3389/fnagi.2020.574401

Applying the Inverse Efficiency Score to Visual–Motor Task for Studying Speed-Accuracy Performance While Aging
Cited by: 16
Author(s): Yauhen Statsenko, Tetiana Habuza, Klaus Neidl-Van Gorkom, Nazar Zaki, Taleb M. Almansoori
Software Mentions: 1
Published: almost 4 years ago

10.3389/fnagi.2021.661514

Predicting Age From Behavioral Test Performance for Screening Early Onset of Cognitive Decline
Cited by: 7
Author(s): Yauhen Statsenko, Tetiana Habuza, Inna Charykova, Klaus Neidl-Van Gorkom, Nazar Zaki, Taleb M. Almansoori, Gordon C. Baylis, Miloš Ljubisavljević, Maroua Belghali
Software Mentions: 1
Published: over 3 years ago

10.3390/ani11092660

Training and Validating a Machine Learning Model for the Sensor-Based Monitoring of Lying Behavior in Dairy Cows on Pasture and in the Barn
Cited by: 9
Author(s): Lara Schmeling, Golnaz Elmamooz, Phan Thai Hoang, Anastasiia Kozar, Daniela Nicklas, Michael Sünkel, S. Thurner, E. Rauch
Software Mentions: 1
Published: about 3 years ago

10.3389/fnagi.2020.592979

Regional Gray Matter Volume Identifies High Risk of Unsafe Driving in Healthy Older People
Cited by: 7
Author(s): Yasuharu Yamamoto, Bun Yamagata, Jinichi Hirano, Ryo Ueda, Hiroshi Yoshitake, Kazuno Negishi, Mika Yamagishi, M. Kimura, Kei Kamiya, Motoki Shino, Masaru Mimura
Software Mentions: 1
Published: almost 4 years ago

10.3389/fnagi.2019.00205

Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers
Cited by: 54
Author(s): Kathleen Fraser, Kristina Lundholm Fors, Marie Eckerström, Fredrik Öhman, Dimitrios Kokkinakis
Software Mentions: 1
Published: over 5 years ago

10.3389/fnagi.2021.642033

Language Impairment in Alzheimer’s Disease—Robust and Explainable Evidence for AD-Related Deterioration of Spontaneous Speech Through Multilingual Machine Learning
Cited by: 15
Author(s): Hali Lindsay, J. Tröger, Alexandra König
Software Mentions: 1
Published: over 3 years ago

10.3389/fnagi.2020.00266

Predictive Value of Odor Identification for Incident Dementia: The Shanghai Aging Study
Cited by: 4
Author(s): Ding Ding, Zhenxu Xiao, Xiaoniu Liang, Wanqing Wu, Qianhua Zhao, Yang Cao
Software Mentions: 1
Published: about 4 years ago

10.3389/fnagi.2015.00231

Discrimination between Alzheimer’s Disease and Late Onset Bipolar Disorder Using Multivariate Analysis
Cited by: 23
Author(s): Ariadna Besga, I Gonzalez, Enrique Echeburúa, Alexandre Savio, Borja Ayerdi, Darya Chyzhyk, José L. M. Madrigal, Juan C. Leza, Manuel Graña, Ana González‐Pinto
Software Mentions: 1
Published: almost 9 years ago

10.3389/fnagi.2021.727654

Using Machine Learning for Predicting the Best Outcomes With Electrical Muscle Stimulation for Tremors in Parkinson’s Disease
Cited by: 4
Author(s): Onanong Phokaewvarangkul, Peerapon Vateekul, Itsara Wichakam, Chanawat Anan, Roongroj Bhidayasiri
Software Mentions: 1
Published: about 3 years ago

10.1371/journal.pone.0185458

Predictors of all-cause mortality among 514,866 participants from the Korean National Health Screening Cohort
Cited by: 14
Author(s): Cheol–Hee Ahn, Yunji Hwang, Sung Sup Park
Software Mentions: 1
Published: about 7 years ago

10.1371/journal.pone.0171207

Data-driven system to predict academic grades and dropout
Cited by: 73
Author(s): S Domínguez Rovira, Eloi Puertas, Laura Igual
Software Mentions: 1
Published: almost 8 years ago

10.1371/journal.pone.0255748

Regional performance variation in external validation of four prediction models for severity of COVID-19 at hospital admission: An observational multi-centre cohort study
Cited by: 2
Author(s): Kristin Wickstrøm, Valeria Vitelli, Ewan Carr, Aleksander Rygh Holten, Rebecca Bendayan, Andrew H. Reiner, Daniel Bean, Thomas Searle, Anthony Shek, Željko Kraljević, James Teo, Richard Dobson, Kristian Tonby, Alvaro Köhn‐Luque, E Amundsen
Software Mentions: 1
Published: about 3 years ago

10.1186/s12920-019-0607-3

A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data
Cited by: 21
Author(s): Daichi Shigemizu, Shintaro Akiyama, Yuya Asanomi, Keith A. Boroevich, Alok Sharma, Tatsuhiko Tsunoda, Takashi Sakurai, Kouichi Ozaki, Takahiro Ochiya, Shumpei Niida
Software Mentions: 1
Published: about 5 years ago

10.1371/journal.pone.0209738

‘A world of competing sorrows’: A mixed methods analysis of media reports of children with cancer abandoning conventional treatment
Cited by: 4
Author(s): Caroline Diorio, Michael Afanasiev, Kristen Salena, Stacey Marjerrison
Software Mentions: 1
Published: almost 6 years ago

10.1371/journal.pone.0235663

Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer’s Disease Neuroimaging (ADNI) database
Cited by: 17
Author(s): Juan Felipe Beltrán, Brandon Malik Wahba, Nicole Hose, Dennis Shasha, Richard Kline
Software Mentions: 1
Published: over 4 years ago

10.3389/frai.2020.00003

Interpretability With Accurate Small Models
Cited by: 3
Author(s): Abhishek Ghose, Balaraman Ravindran
Software Mentions: 1
Published: over 4 years ago

10.1186/s12920-020-00783-0

Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network
Cited by: 7
Author(s): Minghui Liu, Jingyi Yang, Jiacheng Wang, Lei Deng
Software Mentions: 1
Published: about 4 years ago

10.1128/mSystems.01013-20

Elucidating the Regulatory Elements for Transcription Termination and Posttranscriptional Processing in the Streptomyces clavuligerus Genome
Cited by: 5
Author(s): Soonkyu Hwang, Namil Lee, Donghui Choe, Yong Jae Lee, Woori Kim, Yu‐Jin Jeong, Suhyung Cho, Jaehyung Kim, Byung-Kwan Cho
Software Mentions: 1
Published: over 3 years ago

10.1186/s12920-018-0388-0

Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data
Cited by: 38
Author(s): Yasser EL-Manzalawy, Tsung Yu Hsieh, Manu Shivakumar, Dokyoon Kim, Vasant Honavar
Software Mentions: 1
Published: about 6 years ago

10.3389/fpls.2018.01102

On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties
Cited by: 46
Author(s): Salvador Gutiérrez, Juan Fernández‐Novales, María P. Diago, Javier Tardáguila
Software Mentions: 1
Published: over 6 years ago

10.3389/fpls.2020.575810

Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection Method
Cited by: 28
Author(s): Lei Zhou, Chu Zhang, Mohamed Farag Taha, Xinhua Wei, Yong He, Zhengjun Qiu, Yufei Liu
Software Mentions: 1
Published: about 4 years ago

10.3389/fpls.2019.00155

Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network
Cited by: 125
Author(s): Ke Lin, Liang Gong, Yongfeng Huang, Chengliang Liu, Junsong Pan
Software Mentions: 1
Published: almost 6 years ago

10.1371/journal.pone.0253027

Automatic ladybird beetle detection using deep-learning models
Cited by: 8
Author(s): Pablo Venegas, Francisco Calderón, Daniel Riofrío, Diego S. Benítez, Giovanni Ramón, Diego F. Cisneros‐Heredia, Miguel Coimbra, José Luis Rojo-Álvarez, Noel Pérez
Software Mentions: 1
Published: over 3 years ago

10.3389/fpsyt.2020.531801

Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer’s Disease Diagnosis
Cited by: 3
Author(s): Naoki Furutani, Yuta Nariya, Tetsuya Takahashi, Sarah Noto, Albert C. Yang, Tetsu Hirosawa, Masafumi Kameya, Yoshio Minabe, Mitsuru Kikuchi
Software Mentions: 1
Published: about 4 years ago

10.3389/fpsyt.2021.598518

Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability
Cited by: 9
Author(s): Pedro Ballester, Laura Tomaz da Silva, Matheus Marcon, Nathália Bianchini Esper, Benício N. Frey, Augusto Buchweitz, Felipe Meneguzzi
Software Mentions: 1
Published: over 3 years ago

10.3390/jpm11080748

Application of Machine Learning for Predicting Anastomotic Leakage in Patients with Gastric Adenocarcinoma Who Received Total or Proximal Gastrectomy
Cited by: 3
Author(s): Shui-jin Shao, Lu Liu, Yufeng Zhao, Lei Mu, Qiyi Lu, Jianbing Qin
Software Mentions: 1
Published: over 3 years ago

10.1371/journal.pone.0229620

Evaluation of machine learning models for automatic detection of DNA double strand breaks after irradiation using a γH2AX foci assay
Cited by: 8
Author(s): Tim Hohmann, Jacqueline Keßler, Dirk Vordermark, Faramarz Dehghani
Software Mentions: 1
Published: over 4 years ago

10.3389/fpsyt.2021.728278

What Factors Are Most Closely Associated With Mood Disorders in Adolescents During the COVID-19 Pandemic? A Cross-Sectional Study Based on 1,771 Adolescents in Shandong Province, China
Cited by: 38
Author(s): Ziyuan Ren, Yaodong Xin, Zhong Lin Wang, Dexiang Liu, Roger Ho, Cyrus S.H. Ho
Software Mentions: 1
Published: about 3 years ago

10.3389/fpsyt.2020.00189

Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar Depression
Cited by: 9
Author(s): Sarah Kittel‐Schneider, Tim Hahn, F. Haenisch, Rhiannon V. McNeill, Andreas Reif, Sabine Bahn
Software Mentions: 1
Published: over 4 years ago

10.3389/fpsyt.2020.00144

Classification of Social Anxiety Disorder With Support Vector Machine Analysis Using Neural Correlates of Social Signals of Threat
Cited by: 13
Author(s): Mengqi Xing, Jacklynn M. Fitzgerald, Heide Klumpp
Software Mentions: 1
Published: over 4 years ago

10.1186/s12920-018-0436-9

CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features
Cited by: 14
Author(s): Xuan Zou, Jun Wang, Jing Li, Wen Chen, Changning Liu
Software Mentions: 1
Published: almost 6 years ago

10.3389/fpsyt.2020.593336

Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge
Cited by: 18
Author(s): Baptiste Couvy‐Duchesne, Johann Faouzi, Benoît Martin, Elina Thibeau–Sutre, Adam Wild, Manon Ansart, Stanley Durrleman, Didier Dormont, Ninon Burgos, Olivier Colliot
Software Mentions: 1
Published: almost 4 years ago

10.3389/fpsyt.2021.655292

Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode Schizophrenia and Healthy Individuals: A Multi-Channel Near Infrared Spectroscopy Study
Cited by: 12
Author(s): Po-Han Chou, Yun Han Yao, Rui Zheng, Yi Long Liou, Tsung Te Liu, Hsien Yuan Lane, Albert C. Yang, Shao-Cheng Wang
Software Mentions: 1
Published: over 3 years ago

10.3389/fpsyg.2021.647956

Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style
Cited by: 18
Author(s): Stephanie J. Eder, Andrew A. Nicholson, Michał Stefańczyk, Michał Pieniak, Judit Martínez-Molina, Ondra Pešout, Jakub Binter, Patrick Smela, Frank Scharnowski, David Steyrl
Software Mentions: 1
Published: over 3 years ago

10.3389/fpsyg.2021.604522

A Recurrent Neural Network for Attenuating Non-cognitive Components of Pupil Dynamics
Cited by: 1
Author(s): Sharath Koorathota, Kaveri A. Thakoor, Linbi Hong, Yaoli Mao, Patrick Adelman, Paul Sajda
Software Mentions: 1
Published: almost 4 years ago

10.1371/journal.pone.0206409

An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes
Cited by: 63
Author(s): Stephen Solis-Reyes, Mariano Avino, Art F. Y. Poon, Lila Kari
Software Mentions: 1
Published: about 6 years ago

10.3390/ani11010050

Determination of Body Parts in Holstein Friesian Cows Comparing Neural Networks and k Nearest Neighbour Classification
Cited by: 7
Author(s): Jennifer Salau, Jan Haas, Wolfgang Junge, Georg Thaller
Software Mentions: 1
Published: almost 4 years ago

10.3389/fpsyg.2020.551548

Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector Machine
Cited by: 13
Author(s): Johannes Burdack, Fabian Horst, Daniel Aragonés, Alexander Eekhoff, Wolfgang I. Schöllhorn
Software Mentions: 1
Published: about 4 years ago

10.1371/journal.pone.0237937

Man vs. machine: Predicting hospital bed demand from an emergency department
Cited by: 3
Author(s): Filipe Rissieri Lucini, Mateus Augusto dos Reis, Giovani J.C. da Silveira, Flávio Sanson Fogliatto, Michel J. Anzanello, Giordanna Guerra Andrioli, Rafael Nicolaidis, Rafael Coimbra Ferreira Beltrame, Jeruza Lavanholi Neyeloff, Beatriz D’Agord Schaan
Software Mentions: 1
Published: about 4 years ago

10.3389/fpsyg.2018.01545

Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income Attainment
Cited by: 13
Author(s): William Heyward Hampton, Nima Asadi, Ingrid R. Olson
Software Mentions: 1
Published: about 6 years ago

10.1371/journal.pone.0232573

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning
Cited by: 20
Author(s): Lohendran Baskaran, Subhi J. Al’Aref, Gabriel Maliakal, Benjamin C. Lee, Zhuoran Xu, Jeong Won Choi, Sang Eun Lee, Ji Min Sung, Fay Y. Lin, Simon Dunham, Bobak Mosadegh, Yong Jin Kim, Ilan Gottlieb, Byoung Kwon Lee, Eun Ju Chun, Filippo Cademartiri, Erica Maffei, Hugo Marques, Sanghoon Shin, Jung Hyun Choi, Kavitha M. Chinnaiyan, Martin Hadamitzky, Edoardo Conte, Daniele Andreini, Gianluca Pontone, Matthew J. Budoff, Jonathon Leipsic, Gilbert Raff, Renu Virmani, Habib Samady, Peter H. Stone, Daniel S. Berman, Jagat Narula, Jeroen J. Bax, Hyuk Jae Chang, James K. Min, Leslee J. Shaw
Software Mentions: 1
Published: over 4 years ago

10.3389/fpubh.2021.630640

Work Habit-Related Sleep Debt; Insights From Factor Identification Analysis of Actigraphy Data
Cited by: 7
Author(s): Yuki Goto, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Software Mentions: 1
Published: over 3 years ago

10.1371/journal.pone.0225991

Reconstruction error based deep neural networks for coronary heart disease risk prediction
Cited by: 20
Author(s): Tsatsral Amarbayasgalan, Kwang-Ho Park, Jong Yun Lee, Keun Ho Ryu
Software Mentions: 1
Published: almost 5 years ago

10.3389/frobt.2018.00035

Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence
Cited by: 35
Author(s): Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, David Dormagen, Fernando Wario, Tim Landgraf
Software Mentions: 1
Published: over 6 years ago

Projects: pypi: scikit-learn

Papers Mentioning scikit-learn 2,431