Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: pypi: scikit-learn

https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn

A set of python modules for machine learning and data mining
72 versions
Latest release: about 1 year ago
5,918 dependent packages
43,777,417 downloads last month

Papers Mentioning scikit-learn 2,431

10.3390/s20072027
Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice
Cited by: 17
Author(s): Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Miranda M. Lim, Nikil Dutt, Amir M. Rahmani, Hung Cao
Software Mentions: 1
Published: over 4 years ago
10.3390/s20072125
A Method for Chlorophyll-a and Suspended Solids Prediction through Remote Sensing and Machine Learning
Cited by: 41
Author(s): Lucas Silveira Kupssinskü, Tainá Thomassim Guimarães, Eniuce Menezes de Souza, Daniel Capella Zanotta, Maurício Roberto Veronez, Luiz Gonzaga, Frederico Fábio Mauad
Software Mentions: 1
Published: over 4 years ago
10.3390/s20082344
Automatic Anomaly Detection on In-Production Manufacturing Machines Using Statistical Learning Methods
Cited by: 27
Author(s): Federico Pittino, Michael Puggl, Thomas Moldaschl, Christina Hirschl
Software Mentions: 1
Published: over 4 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
10.3390/s20092613
A Machine Learning-based Algorithm for Water Network Contamination Source Localization
Cited by: 11
Author(s): Luka Grbčić, Ivana Lučin, Lado Kranjčević, Siniša Družeta
Software Mentions: 1
Published: over 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
10.3390/s20092694
Prediction of Visual Memorability with EEG Signals: A Comparative Study
Cited by: 4
Author(s): Sang-Yeong Jo, Jinwoo Jeong
Software Mentions: 1
Published: over 4 years ago
10.3390/s20092458
A Novel Fault Diagnosis Approach for Chillers Based on 1-D Convolutional Neural Network and Gated Recurrent Unit
Cited by: 33
Author(s): Zhuozheng Wang, Yuan Dong, Wei Liu, Zhuo Ma
Software Mentions: 1
Published: over 4 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
10.3390/s20092523
Correlation between Indoor Environmental Data and Biometric Parameters for the Impact Assessment of a Living Wall in a ZEB Lab
Cited by: 8
Author(s): Francesco Salamone, Benedetta Barozzi, Ludovico Danza, Matteo Ghellere, Italo Meroni
Software Mentions: 1
Published: over 4 years ago
10.1186/s12967-020-02542-2
The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models
Cited by: 14
Author(s): Bo Peng, Hang Gong, Tian Han, Quan Zhuang, Junhui Li, Ke Cheng, Yingzi Ming
Software Mentions: 1
Published: about 4 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
10.3390/s20102920
Data Improvement Model Based on ECG Biometric for User Authentication and Identification
Cited by: 17
Author(s): Alex Barros, Paulo Resque, João Aristides Tomaz de Almeida, Renato Mota, Helder Oliveira, Denis Rosário, Eduardo Cerqueira
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: almost 5 years ago
10.3390/s20102953
Unsupervised Action Proposals Using Support Vector Classifiers for Online Video Processing
Cited by: 2
Author(s): Marcos Baptista Rios, Roberto J. López-Sastre, Francisco Javier Acevedo-Rodríguez, P. Martin-Martin, Saturnino Maldonado-Bascón
Software Mentions: 1
Published: over 4 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
10.3390/s20113128
A Multimodal, Adjustable Sensitivity, Digital 3-Axis Skin Sensor Module
Cited by: 6
Author(s): Alexis C. Holgado, Tito Pradhono Tomo, Sophon Somlor, Shigeki Sugano
Software Mentions: 1
Published: over 4 years ago
10.18632/oncotarget.20365
MLACP: machine-learning-based prediction of anticancer peptides
Cited by: 185
Author(s): Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Sun Choi, Myeong Ok Kim, Gwang Lee
Software Mentions: 1
Published: over 7 years ago
10.3390/s20123542
Odor Detection Using an E-Nose With a Reduced Sensor Array
Cited by: 27
Author(s): Piotr Borowik, Ludwik Adamowicz, Rafał Tarakowski, Krzysztof Siwek, Tomasz Grzywacz
Software Mentions: 1
Published: over 4 years ago
10.3390/s20123485
Prediction of Body Weight of a Person Lying on a Smart Mat in Nonrestraint and Unconsciousness Conditions
Cited by: 7
Author(s): Tae‐Hwan Kim, Youn-Sik Hong
Software Mentions: 1
Published: over 4 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
10.3390/s20143845
Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model
Cited by: 7
Author(s): Ju-Seog Jang, Seungjae Shin, Hyunjin Lee, Il‐Chul Moon
Software Mentions: 1
Published: over 4 years ago
10.18632/oncotarget.23099
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest
Cited by: 81
Author(s): Balachandran Manavalan, Tae Hwan Shin, Gwang Lee
Software Mentions: 1
Published: almost 7 years ago
10.3390/s20174800
Unsupervised Monitoring Vegetation after the Closure of an Ore Processing Site with Multi-Temporal Optical Remote Sensing
Cited by: 10
Author(s): Sophie Fabre, Rollin Gimenez, Arnaud Elger, Thomas Rivière
Software Mentions: 1
Published: over 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.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: over 4 years ago
10.3390/s20174915
Fast Detection of Olive Trees Affected by Xylella Fastidiosa from UAVs Using Multispectral Imaging
Cited by: 35
Author(s): Attilio Di Nisio, Francesco Adamo, G. Acciani, Filippo Attivissimo
Software Mentions: 1
Published: about 4 years ago
10.3390/s20174904
Facial Muscle Activity Recognition with Reconfigurable Differential Stethoscope-Microphones
Cited by: 4
Author(s): Hymalai Bello, Bo Zhou, Paul Lukowicz
Software Mentions: 1
Published: about 4 years ago
10.3390/s20174833
Using Machine Learning to Train a Wearable Device for Measuring Students’ Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use
Cited by: 17
Author(s): William L. Romine, Noah L. Schroeder, Josephine Graft, Fan Yang, Reza Sadeghi, Mahdieh Zabihimayvan, Dipesh Kadariya, Tanvi Banerjee
Software Mentions: 1
Published: over 4 years ago
10.3390/s20185212
Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features
Cited by: 82
Author(s): Anvarjon Tursunov, Mustaqeem, Soonil Kwon
Software Mentions: 1
Published: about 4 years ago
10.1155/2021/8813806
Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance
Cited by: 4
Author(s): Yuan Sun, Meng Li, Lei Li, Han Shao, Yi Sun
Software Mentions: 1
Published: over 3 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
10.1155/2020/7307252
Using Deep Convolutional Neural Networks for Image-Based Diagnosis of Nutrient Deficiencies in Rice
Cited by: 21
Author(s): Zhe Xu, Xiaomin Guo, Anfan Zhu, Xiaolin He, Zhao Xiao-min, Yi Han, Roshan Subedi
Software Mentions: 1
Published: over 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
10.7554/eLife.34700
Chronic 2P-STED imaging reveals high turnover of dendritic spines in the hippocampus in vivo
Cited by: 124
Author(s): Thomas Pfeiffer, Stefanie Poll, Stéphane Bancelin, Julie Angibaud, Vvg Krishna Inavalli, Kevin Keppler, Manuel Mittag, Martin Fuhrmann, U. Valentin Nägerl
Software Mentions: 1
Published: over 6 years ago
10.1155/2016/6425257
Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion
Cited by: 10
Author(s): Benjamin Chandler, Ennio Mingolla
Software Mentions: 1
Published: almost 9 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
10.3389/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.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
10.1155/2021/8840156
An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised Clustering
Cited by: 6
Author(s): Zhenlun Yang
Software Mentions: 1
Published: almost 4 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
10.3390/jpm11040312
Machine Learning in Prediction of IgA Nephropathy Outcome: A Comparative Approach
Cited by: 6
Author(s): Andrzej Konieczny, Jakub Stojanowski, Magdalena Krajewska, Mariusz Kusztal
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
10.3390/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
10.1155/2016/7420984
Active Player Modeling in the Iterated Prisoner’s Dilemma
Cited by: 1
Author(s): Hyunsoo Park, Kyung Joong Kim
Software Mentions: 1
Published: almost 9 years ago
10.7554/eLife.61635
Kinetic sculpting of the seven stripes of the Drosophila even-skipped gene
Cited by: 27
Author(s): Augusto Berrocal, Nicholas C Lammers, Hernán G. García, Michael B. Eisen
Software Mentions: 1
Published: almost 4 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
10.3390/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
10.1155/2019/3076324
Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition
Cited by: 16
Author(s): Abhishek Tiwari, Tiago H. Falk
Software Mentions: 1
Published: almost 6 years ago
10.7554/eLife.56491
Distinct neuronal populations contribute to trace conditioning and extinction learning in the hippocampal CA1
Cited by: 12
Author(s): Rebecca A. Mount, Sudiksha Sridhar, Kyle Hansen, Ali Ibrahim Mohammed, Moona E Abdulkerim, Robb Kessel, Bobak Nazer, Howard J. Gritton, Xue Han
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
10.1155/2016/1638936
Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts
Cited by: 24
Author(s): Helena Gómez-Adorno, Ilia Markov, Grigori Sidorov, Juan-Pablo Posadas-Durán, Miguel A. Sánchez-Pérez, Liliana Chanona-Hernández
Software Mentions: 1
Published: almost 9 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
10.1007/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
10.7554/eLife.59697
A convolutional neural network for the prediction and forward design of ribozyme-based gene-control elements
Cited by: 7
Author(s): Calvin M. Schmidt, Christina D. Smolke
Software Mentions: 1
Published: over 3 years ago
10.1021/acs.jpcb.1c02503
A Data-Driven Dimensionality Reduction Approach to Compare and Classify Lipid Force Fields
Cited by: 18
Author(s): Riccardo Capelli, Andrea Gardin, Charly Empereur-mot, Giovanni Doni, Giovanni M. Pavan
Software Mentions: 1
Published: over 3 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
10.3390/ijms20081964
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
Cited by: 126
Author(s): Vinothini Boopathi, Sathiyamoorthy Subramaniyam, Adeel Malik, Gwang Lee, Balachandran Manavalan, Deok‐Chun Yang
Software Mentions: 1
Published: over 5 years ago
10.3390/ijms20194855
Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library
Cited by: 21
Author(s): Yasunari Matsuzaka, Yoshihiro Uesawa
Software Mentions: 1
Published: about 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
10.3390/ijms20246276
A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients
Cited by: 17
Author(s): Minjae Joo, Aron Park, Kyungdoc Kim, Won‐Joon Son, Hyo Sug Lee, Gyutae Lim, Jinhyuk Lee, Dong Hoon Lee, Jungseok An, Jung Ho Kim, Tae-Jin Ahn, Seungyoon Nam
Software Mentions: 1
Published: almost 5 years ago
10.3390/ijms21103455
Iroquois Homeobox Protein 2 Identified as a Potential Biomarker for Parkinson’s Disease
Cited by: 6
Author(s): Hyuna Sim, Jooeun Lee, Hee Min Yoo, Sunwha Cho, Hana Lee, Aruem Baek, Jisun Kim, Hyemyung Seo, Mi‐Na Kweon, Hyung Gun Kim, Young‐Joo Jeon, Mi‐Young Son, Jang Hwan Kim
Software Mentions: 1
Published: over 4 years ago
10.3390/ijms21103585
Similarity-Based Methods and Machine Learning Approaches for Target Prediction in Early Drug Discovery: Performance and Scope
Cited by: 24
Author(s): Neann Mathai, Johannes Kirchmair
Software Mentions: 1
Published: over 4 years ago
10.3390/ijms21155542
Comprehensive Analysis of Applicability Domains of QSPR Models for Chemical Reactions
Cited by: 23
Author(s): Assima Rakhimbekova, Timur Madzhidov, Ramil Nugmanov, Timur Gimadiev, Igor I. Baskin, Alexandre Varnek
Software Mentions: 1
Published: over 4 years ago
10.3390/ijms21155308
Virtual Screening of C. Sativa Constituents for the Identification of Selective Ligands for Cannabinoid Receptor 2
Cited by: 7
Author(s): Mikołaj Mizera, Dorota Latek, Judyta Cielecka‐Piontek
Software Mentions: 1
Published: over 4 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/s12650-017-0451-5
Visualization of JOV abstracts
Cited by: 2
Author(s): Koji Koyamada, Yosuke Onoue, Miki Kioka, Tomoya Uetsuji, Kazutaka Baba
Software Mentions: 1
Published: about 7 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
10.3390/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
10.3390/e23030286
Conditional Entropy: A Potential Digital Marker for Stress
Cited by: 8
Author(s): Soheil Keshmiri
Software Mentions: 1
Published: almost 4 years ago
10.3390/ijms21207501
How Machine Learning Methods Helped Find Putative Rye Wax Genes Among GBS Data
Cited by: 3
Author(s): Magdalena Góralska, Jan Bińkowski, Natalia Lenarczyk, Anna Bienias, Agnieszka Grądzielewska, Ilona Czyczyło-Mysza, Kamila Kapłoniak, Stefan Stojałowski, Beata Myśków
Software Mentions: 1
Published: about 4 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
10.1021/acs.jpclett.1c00045
Machine Learning Prediction of Allosteric Drug Activity from Molecular Dynamics
Cited by: 25
Author(s): Filippo Marchetti, Elisabetta Moroni, Alessandro Pandini, Giorgio Colombo
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
10.1016/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
10.3390/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/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
10.3390/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/ijms22136791
Using RNA-Sequencing Data to Examine Tissue-Specific Garlic Microbiomes
Cited by: 7
Author(s): Yeonhwa Jo, Chang–Gi Back, Kook‐Hyung Kim, Hyosub Chu, Jeong Hun Lee, Sang Hyun Moh, Won Kyong Cho
Software Mentions: 1
Published: over 3 years ago
10.3390/ijms22147721
Performance Comparisons of AlexNet and GoogLeNet in Cell Growth Inhibition IC50 Prediction
Cited by: 8
Author(s): Yeeun Lee, Seungyoon Nam
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
10.3390/ijms22158027
PON-Sol2: Prediction of Effects of Variants on Protein Solubility
Cited by: 9
Author(s): Yang Yang, Lianjie Zeng, Mauno Vihinen
Software Mentions: 1
Published: over 3 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
10.1523/ENEURO.0414-17.2018
Organization of Neural Population Code in Mouse Visual System
Cited by: 6
Author(s): Kathleen Esfahany, Isabel Siergiej, Yuan Zhao, Il Park
Software Mentions: 1
Published: over 6 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
10.2196/28361
Developing a time-adaptive prediction model for out-of-hospital cardiac arrest: Results from a nationwide cohort study in Korea (Preprint)
Cited by: 2
Author(s): Ji Woong
Software Mentions: 1
Published: over 3 years ago
10.2196/11756
Understanding User Experience: Exploring Participants’ Messages With a Web-Based Behavioral Health Intervention for Adolescents With Chronic Pain
Cited by: 5
Author(s): Annie Chen, Aarti Swaminathan, William R. Kearns, Nicole M. Alberts, Emily F. Law, Tonya M. Palermo
Software Mentions: 1
Published: over 5 years ago
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/diagnostics11061096
Forecasting the Walking Assistance Rehabilitation Level of Stroke Patients Using Artificial Intelligence
Cited by: 7
Author(s): Kanghyeon Seo, Bokjin Chung, Hamsa Priya Panchaseelan, Taewoo Kim, Hye-Jung Park, Byung Mo Oh, Min-Ho Chun, Sunjae Won, Don-Kyu Kim, Jaewon Beom, Doyoung Jeon, Jihoon Yang
Software Mentions: 1
Published: over 3 years ago
10.3390/diagnostics11071255
Prediction of In-Hospital Cardiac Arrest Using Shallow and Deep Learning
Cited by: 9
Author(s): Minsu Chae, Sang-Wook Han, Hyo‐Wook Gil, Namjun Cho, HwaMin Lee
Software Mentions: 1
Published: over 3 years ago
10.3390/diagnostics11020347
Females and Males Show Differences in Early-Stage Transcriptomic Biomarkers of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma
Cited by: 1
Author(s): Quewang Liu, Yueying Wang, Meiyu Duan, Yongchang Fan, Pan Xing-yuan, Shuai Liu, Yu Qian, Lan Huang, Fengfeng Zhou
Software Mentions: 1
Published: almost 4 years ago
10.3390/diagnostics11081429
Predicting Depression in Community Dwellers Using a Machine Learning Algorithm
Cited by: 6
Author(s): Seo‐Eun Cho, Zong Woo Geem, Jin-Seong Lee
Software Mentions: 1
Published: over 3 years ago
10.2196/12910
Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches
Cited by: 14
Author(s): Alan Rozet, Ian M. Kronish, Joseph E. Schwartz, Karina W. Davidson
Software Mentions: 1
Published: over 5 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
10.3390/diagnostics10040209
The Combination of Adaptive Convolutional Neural Network and Bag of Visual Words in Automatic Diagnosis of Third Molar Complications on Dental X-Ray Images
Cited by: 7
Author(s): Võ Trương Như Ngọc, Agwu Chinedu Agwu, Lê Hoàng Sơn, Trần Mạnh Tuấn, Cu Nguyen Giap, Mai Thi Giang Thanh, Hoang Bao Duy, Trần Thị Ngân
Software Mentions: 1
Published: over 4 years ago
10.1093/database/bax070
First steps in automatic summarization of transcription factor properties for RegulonDB: classification of sentences about structural domains and regulated processes
Cited by: 6
Author(s): Carlos-Francisco Méndez-Cruz, Socorro Gama-Castro, Citlalli Mejía-Almonte, Marco-Polo Castillo-Villalba, Luis-José Muñiz-Rascado, Julio Collado‐Vides
Software Mentions: 1
Published: almost 8 years ago
10.2196/24996
Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study
Cited by: 11
Author(s): Haichen Lv, Xiaolei Yang, Bingyi Wang, Shaobo Wang, Xiaoyan Du, Qian Tan, Zhujing Hao, Ying Liu, Jun Yan, Yunlong Xia
Software Mentions: 1
Published: over 3 years ago
10.5808/GI.2019.17.3.e30
Deep learning for stage prediction in neuroblastoma using gene expression data
Cited by: 5
Author(s): Aron Park, Seungyoon Nam
Software Mentions: 1
Published: about 5 years ago
10.1093/gigascience/gix115
CNVcaller: highly efficient and widely applicable software for detecting copy number variations in large populations
Cited by: 71
Author(s): Xihong Wang, Zhuqing Zheng, Yi Cai, Ting Chen, Chao Li, Weiwei Fu, Yu Jiang
Software Mentions: 1
Published: almost 7 years ago