pypi: keras | Projects | Ecosyste.ms: Papers

10.1186/s13059-020-02100-5

Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data
Cited by: 56
Author(s): Nikolaus Fortelny, Christoph Bock
Software Mentions: 20
Published: over 4 years ago

10.1002/ece3.6786

<i>SDMtune</i>: An R package to tune and evaluate species distribution models
Cited by: 68
Author(s): Sergio Vignali, Arnaud Barras, Raphaël Arlettaz, Veronika Braunisch
Software Mentions: 14
Published: about 4 years ago

10.1371/journal.pone.0253148

Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing
Cited by: 1
Author(s): Julia Carolina Mata, Robert Buitenwerf, Jens‐Christian Svenning
Software Mentions: 13
Published: over 3 years ago

10.1371/journal.pone.0195065

Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models
Cited by: 48
Author(s): Oswaldo Santos Baquero, Lidia Maria Reis Santana, Francisco Chiaravalloti Neto
Software Mentions: 12
Published: over 6 years ago

10.3390/ani11020485

Action Recognition Using a Spatial-Temporal Network for Wild Felines
Cited by: 9
Author(s): Liqi Feng, Yaqin Zhao, Yang Sun, Wenxuan Zhao, Jiaxi Tang
Software Mentions: 12
Published: over 3 years ago

10.1038/s41598-021-82043-4

PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses
Cited by: 10
Author(s): Pablo Acera Mateos, Renzo F. Balboa, Simon Easteal, Eduardo Eyras, Hardip R. Patel
Software Mentions: 11
Published: almost 4 years ago

10.1038/s41598-019-46850-0

Deep Learning using Convolutional LSTM estimates Biological Age from Physical Activity
Cited by: 56
Author(s): Syed Ashiqur Rahman, Donald A. Adjeroh
Software Mentions: 11
Published: over 5 years ago

10.3389/fmolb.2019.00025

Anncolvar: Approximation of Complex Collective Variables by Artificial Neural Networks for Analysis and Biasing of Molecular Simulations
Cited by: 22
Author(s): Dalibor Trapl, Izabela Horvacanin, Václav Mareška, Furkan Özçelik, Gözde Ünal, Vojtěch Spiwok
Software Mentions: 11
Published: over 5 years ago

10.1186/s13040-021-00235-0

Data analytics and clinical feature ranking of medical records of patients with sepsis
Cited by: 11
Author(s): Davide Chicco, Luca Oneto
Software Mentions: 10
Published: almost 4 years ago

10.1186/s12911-020-01370-0

An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations
Cited by: 7
Author(s): Yongseok Mun, Joo-Young Kim, Kyoung Jin Noh, Soochahn Lee, Seok Kim, Sangho Yi, Kyu Hyung Park, Sooyoung Yoo, Dong Jin Chang, Sang Jun Park
Software Mentions: 10
Published: almost 4 years ago

10.1016/j.ajhg.2020.03.012

Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised Learning
Cited by: 24
Author(s): Dimitrios Vitsios, Steve Petrovski
Software Mentions: 10
Published: over 4 years ago

10.1186/s12859-020-03795-w

optimalFlow: optimal transport approach to flow cytometry gating and population matching
Cited by: 11
Author(s): Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubès, Carlos Matrán, Agustín Mayo-Íscar
Software Mentions: 10
Published: about 4 years ago

10.1007/978-3-030-61527-7_24

Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars
Cited by: 11
Author(s): Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri
Software Mentions: 9
Published: almost 5 years ago

10.3390/jpm10040214

Prediction of Mental Illness in Heart Disease Patients: Association of Comorbidities, Dietary Supplements, and Antibiotics as Risk Factors
Cited by: 3
Author(s): Jayanth Sivakumar, Saba Ahmed, Lina Begdache, Swati Jain, Daehan Won
Software Mentions: 9
Published: almost 4 years ago

10.1186/s12864-020-06892-5

Machine learning based imputation techniques for estimating phylogenetic trees from incomplete distance matrices
Cited by: 15
Author(s): Ananya Bhattacharjee, Md. Shamsuzzoha Bayzid
Software Mentions: 9
Published: over 4 years ago

10.1093/jamia/ocab068

Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults
Cited by: 26
Author(s): Matthew Chun, Robert Clarke, Benjamin J. Cairns, David A. Clifton, Derrick Bennett, Yiping Chen, Yu Guo, Pei Pei, Jun Lv, Canqing Yu, Ling Yang, Liming Li, Zhengming Chen, Tingting Zhu
Software Mentions: 9
Published: over 3 years ago

10.1371/journal.pcbi.1008918

Genome-wide analysis of lncRNA stability in human
Cited by: 17
Author(s): Kaiwen Shi, Tao Liu, Hanjiang Fu, Wuju Li, Xiaofei Zheng
Software Mentions: 9
Published: over 3 years ago

10.3389/fncom.2021.674028

Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso Approach
Cited by: 1
Author(s): Juan C. Laria, David Delgado-Gómez, Inmaculada Peñuelas-Calvo, Enrique Baca‐García, Rosa E. Lillo
Software Mentions: 9
Published: over 3 years ago

10.1186/s12859-021-04293-3

Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks
Cited by: 12
Author(s): Ruth Kristianingsih, Dan MacLean
Software Mentions: 8
Published: over 3 years ago

10.3389/fgene.2021.602196

AI Aided Design of Epitope-Based Vaccine for the Induction of Cellular Immune Responses Against SARS-CoV-2
Cited by: 4
Author(s): Giovanni Mazzocco, Iga Niemiec, Alexander Myronov, Piotr Skoczylas, Jan Kaczmarczyk, Anna Sanecka-Duin, Katarzyna Gruba, Paulina Król, Michał Drwal, Marian Szczepanik, Krzysztof Pyrć, Piotr Stępniak
Software Mentions: 8
Published: over 3 years ago

10.1038/s41416-019-0694-0

Development of PancRISK, a urine biomarker-based risk score for stratified screening of pancreatic cancer patients
Cited by: 29
Author(s): Oleg Blyuss, Alexey Zaikin, Valeriia Cherepanova, Daniel Munblit, Elena M. Kiseleva, O. M. Prytomanova, Stephen W. Duffy, Tatjana Crnogorac‐Jurčević
Software Mentions: 7
Published: almost 5 years ago

10.3389/fgene.2020.00524

Detecting Prognosis Risk Biomarkers for Colon Cancer Through Multi-Omics-Based Prognostic Analysis and Target Regulation Simulation Modeling
Cited by: 19
Author(s): Zuojing Yin, Xinmiao Yan, Qiming Wang, Zeliang Deng, Kailin Tang, Zhiwei Cao, Tianyi Qiu
Software Mentions: 7
Published: over 4 years ago

10.1038/s41598-020-78180-x

Personalized quantification of facial normality: a machine learning approach
Cited by: 6
Author(s): Osman Boyaci, Erchin Serpedin, Mitchell A. Stotland
Software Mentions: 7
Published: almost 4 years ago

10.1371/journal.pone.0201016

Predicting hospital admission at emergency department triage using machine learning
Cited by: 155
Author(s): Woo Suk Hong, Adrian D. Haimovich, Richard A. Taylor
Software Mentions: 7
Published: over 6 years ago

10.1002/1878-0261.13014

imPlatelet classifier: image‐converted RNA biomarker profiles enable blood‐based cancer diagnostics
Cited by: 10
Author(s): Krzysztof Pastuszak, Anna Supernat, Myron G. Best, Sjors G J G In ‘t Veld, Sylwia Łapińska‐Szumczyk, Anna Łojkowska, Robert Różański, Anna Żaczek, Jacek Jassem, Thomas Würdinger, Tomasz Stokowy
Software Mentions: 6
Published: over 3 years ago

10.3390/s21051734

Convolutional Neural Network for Drowsiness Detection Using EEG Signals
Cited by: 45
Author(s): Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Anita Hökelmann, Achraf Ammar, Lotfi Chaâri
Software Mentions: 6
Published: over 3 years ago

10.3390/s21020618

Coupling Analytical Models and Machine Learning Methods for Fast and Reliable Resolution of Effects in Multifrequency Eddy-Current Sensors
Cited by: 6
Author(s): Sergey Kucheryavskiy, А. В. Егоров, V. V. Polyakov
Software Mentions: 6
Published: almost 4 years ago

10.3389/fgene.2021.659650

Unraveling City-Specific Microbial Signatures and Identifying Sample Origins for the Data From CAMDA 2020 Metagenomic Geolocation Challenge
Cited by: 1
Author(s): Runzhi Zhang, Dorothy Ellis, Alejandro R. Walker, Susmita Datta
Software Mentions: 6
Published: over 3 years ago

10.1186/s13550-020-00744-9

Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET
Cited by: 12
Author(s): Elisabeth Pfaehler, Liesbet Mesotten, Gem Kramer, Michiel Thomeer, Karolien Vanhove, Johan de Jong, Peter Adriaensens, Otto S. Hoekstra, Ronald Boellaard
Software Mentions: 6
Published: almost 4 years ago

10.1016/j.eclinm.2021.101046

Machine learning analysis of non-marital sexual violence in India
Cited by: 2
Author(s): Anita Raj, Nabamallika Dehingia, Abhishek Singh, Julian McAuley, Lotus McDougal
Software Mentions: 6
Published: about 3 years ago

10.1016/j.ssmph.2020.100687

Application of machine learning to understand child marriage in India
Cited by: 9
Author(s): Anita Raj, Nabamallika Dehingia, Abhishek Singh, Lotus McDougal, Julian McAuley
Software Mentions: 6
Published: almost 4 years ago

10.1089/cmb.2019.0320

Explainable Deep Learning for Augmentation of Small RNA Expression Profiles
Cited by: 8
Author(s): Jeļena Fiošina, Maksims Fiošins, Stefan Bonn
Software Mentions: 6
Published: almost 5 years ago

10.3390/s20133617

Long-Term Evaluation and Calibration of Low-Cost Particulate Matter (PM) Sensor
Cited by: 28
Author(s): Hoochang Lee, Jiseock Kang, Sungjung Kim, Yunseok Im, Seung-Sung Yoo, Dongjun Lee
Software Mentions: 6
Published: over 4 years ago

10.1371/journal.pone.0206862

Optimal intensive care outcome prediction over time using machine learning
Cited by: 64
Author(s): Christopher Meiring, Abhishek Dixit, Steve Harris, Niall MacCallum, David Brealey, Peter Watkinson, Andrew Jones, Simon Ashworth, Richard Beale, Stephen Brett, Mervyn Singer, Ari Ercole
Software Mentions: 6
Published: almost 6 years ago

10.1093/gigascience/giab058

Scalable analysis of multi-modal biomedical data
Cited by: 3
Author(s): Jaclyn Smith, Yao Shi, Michael Benedikt, Miloš Nikolić
Software Mentions: 6
Published: about 3 years ago

10.1186/s12859-020-03544-z

Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform
Cited by: 3
Author(s): Yijia Zhao, Yifan Zhou, Yuan Liu, Yinyi Hao, Menglong Li, Xuemei Pu, Chuan Li, Zhining Wen
Software Mentions: 6
Published: over 4 years ago

10.3389/fnins.2021.700253

Machine Learning in Modeling of Mouse Behavior
Cited by: 4
Author(s): Marjan Gharagozloo, Abdelaziz Amrani, Kevin Wittingstall, Andrew Hamilton-Wright, Denis Gris
Software Mentions: 6
Published: about 3 years ago

10.3389/fninf.2020.00013

Automated Hierarchy Evaluation System of Large Vessel Occlusion in Acute Ischemia Stroke
Cited by: 17
Author(s): Jia You, Arthur Tsang, Philip L. H. Yu, Eva L. H. Tsui, Pauline P. S. Woo, Carrie Siu Man Lui, Gilberto Ka-Kit Leung
Software Mentions: 6
Published: over 4 years ago

10.3389/fgene.2021.644516

G2S: A New Deep Learning Tool for Predicting Stool Microbiome Structure From Oral Microbiome Data
Cited by: 5
Author(s): Simone Rampelli, Marco Fabbrini, Marco Candela, Elena Biagi, Patrizia Brigidi, Silvia Turroni
Software Mentions: 5
Published: over 3 years ago

10.1186/s12859-020-03730-z

SAPPHIRE: a neural network based classifier for σ70 promoter prediction in Pseudomonas
Cited by: 29
Author(s): Lucas Coppens, Rob Lavigne
Software Mentions: 5
Published: about 4 years ago

10.1186/s12864-020-06821-6

On tower and checkerboard neural network architectures for gene expression inference
Cited by: 0
Author(s): Vladimír Kunc, Jǐŕı Kléma
Software Mentions: 5
Published: almost 4 years ago

10.7717/peerj.7362

DeepBindRG: a deep learning based method for estimating effective protein–ligand affinity
Cited by: 61
Author(s): Haiping Zhang, Linbu Liao, Konda Mani Saravanan, Peng Yin, Yanjie Wei
Software Mentions: 5
Published: over 5 years ago

10.7717/peerj-cs.413

Predictions of bitcoin prices through machine learning based frameworks
Cited by: 17
Author(s): Luisanna Cocco, Roberto Tonelli, Michele Marchesi
Software Mentions: 5
Published: over 3 years ago

10.1371/journal.pone.0251800

Comparison of machine-learning methodologies for accurate diagnosis of sepsis using microarray gene expression data
Cited by: 5
Author(s): Dominik Schaack, Markus A. Weigand, Florian Uhle
Software Mentions: 5
Published: over 3 years ago

10.1371/journal.pone.0204920

Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record data
Cited by: 8
Author(s): Samuel J. Weisenthal, Caroline M. Quill, Samir A. Farooq, Henry Kautz, Martin S. Zand
Software Mentions: 5
Published: almost 6 years ago

10.1371/journal.pone.0237747

Weighted-persistent-homology-based machine learning for RNA flexibility analysis
Cited by: 4
Author(s): Chi Seng Pun, Brandon Yung Sin Yong, Kelin Xia
Software Mentions: 5
Published: about 4 years ago

10.1371/journal.pone.0181173

Predicting all-cause risk of 30-day hospital readmission using artificial neural networks
Cited by: 104
Author(s): Mehdi Jamei, Aleksandr Nisnevich, Everett Wetchler, Sylvia Sudat, Eric Liu
Software Mentions: 5
Published: over 7 years ago

10.1016/j.cels.2019.09.009

Highly Combinatorial Genetic Interaction Analysis Reveals a Multi-Drug Transporter Influence Network
Cited by: 16
Author(s): Albi Celaj, Marinella Gebbia, Louai Musa, Atina G. Coté, Jamie Snider, Victoria Wong, Minjeong Ko, Tiffany Fong, Paul Bansal, Joseph Mellor, Gireesh Seesankar, Maria Nguyen, Shijie Zhou, Liangxi Wang, Nishka Kishore, Igor Štagljar, Yo Suzuki, Nozomu Yachie, Frederick P. Roth
Software Mentions: 5
Published: almost 5 years ago

10.1016/j.dib.2020.106472

Dataset of sodium chloride sterile liquid in bottles for intravenous administration and fill level monitoring
Cited by: 2
Author(s): Danilo Pau, Bipin P. Kumar, Prashant Namekar, Gauri Dhande, Luca Simonetta
Software Mentions: 5
Published: almost 4 years ago

10.3389/fbioe.2020.00808

Riboflow: Using Deep Learning to Classify Riboswitches With ∼99% Accuracy
Cited by: 6
Author(s): Keshav Aditya R Premkumar, Ramit Bharanikumar, Ashok Palaniappan
Software Mentions: 5
Published: over 4 years ago

10.3390/healthcare9040422

Identification of People with Diabetes Treatment through Lipids Profile Using Machine Learning Algorithms
Cited by: 2
Author(s): Vanessa Alcalá-Rmz, Carlos E. Galván-Tejada, Alejandra García-Hernández, Adán Valladares‐Salgado, Miguel Cruz, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales
Software Mentions: 5
Published: over 3 years ago

10.3390/jcdd8040044

Predicting Long-Term Mortality in TAVI Patients Using Machine Learning Techniques
Cited by: 12
Author(s): Marco Penso, Mauro Pepi, Laura Fusini, Manuela Muratori, C. Claudia, Valentina Mantegazza, Paola Gripari, Sarah Ali, Franco Fabbiocchi, Antonio L. Bartorelli, Enrico G. Caiani, Gloria Tamborini
Software Mentions: 5
Published: over 3 years ago

10.1186/s13321-020-00420-z

COVER: conformational oversampling as data augmentation for molecules
Cited by: 19
Author(s): Jennifer Hemmerich, E. Asilar, Gerhard F. Ecker
Software Mentions: 5
Published: over 4 years ago

10.3390/s20164575

Comparative Analysis on Machine Learning and Deep Learning to Predict Post-Induction Hypotension
Cited by: 17
Author(s): Ji‐Hyun Lee, Jiyoung Woo, Ah Reum Kang, Young-Seob Jeong, Woohyun Jung, Misoon Lee, Sang Hyun Kim
Software Mentions: 5
Published: about 4 years ago

10.3390/ijms22063079

A Novel Position-Specific Encoding Algorithm (SeqPose) of Nucleotide Sequences and Its Application for Detecting Enhancers
Cited by: 7
Author(s): Xuechen Mu, Yueying Wang, Meiyu Duan, Shuai Liu, Fēi Li, Xiuli Wang, Kai Zhang, Lan Huang, Fengfeng Zhou
Software Mentions: 4
Published: over 3 years ago

10.1001/jamanetworkopen.2018.6937

Machine Learning–Based Prediction of Clinical Outcomes for Children During Emergency Department Triage
Cited by: 150
Author(s): Tadahiro Goto, Carlos A. Camargo, Mohammad Kamal Faridi, Robert J. Freishtat, Kohei Hasegawa
Software Mentions: 4
Published: almost 6 years ago

10.3390/ani11082154

Identifying Health Status in Grazing Dairy Cows from Milk Mid-Infrared Spectroscopy by Using Machine Learning Methods
Cited by: 6
Author(s): Brenda Contla Hernández, N. López‐Villalobos, Matthieu Vignes
Software Mentions: 4
Published: over 3 years ago

10.1371/journal.pcbi.1009373

Genetic dissection of complex traits using hierarchical biological knowledge
Cited by: 1
Author(s): Hidenori Tanaka, Jason F. Kreisberg, Trey Ideker
Software Mentions: 4
Published: about 3 years ago

10.3389/fnins.2021.667373

A High Accuracy Electrographic Seizure Classifier Trained Using Semi-Supervised Labeling Applied to a Large Spectrogram Dataset
Cited by: 5
Author(s): Wade Barry, Sharanya Arcot Desai, Thomas K. Tcheng, Martha J. Morrell
Software Mentions: 4
Published: over 3 years ago

10.1371/journal.pcbi.1006484

Prediction of gene regulatory enhancers across species reveals evolutionarily conserved sequence properties
Cited by: 68
Author(s): Ling Chen, Alexandra E. Fish, John A. Capra
Software Mentions: 4
Published: about 6 years ago

10.3390/ijerph16111992

Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne Ambrosia Pollen
Cited by: 18
Author(s): Gebreab K. Zewdie, David J. Lary, Estelle Levetin, Gemechu Fanta Garuma
Software Mentions: 4
Published: over 5 years ago

10.1093/bioinformatics/btaa830

Prioritizing transcriptomic and epigenomic experiments using an optimization strategy that leverages imputed data
Cited by: 2
Author(s): Jacob Schreiber, Jeffrey A. Bilmes, William Stafford Noble
Software Mentions: 4
Published: about 4 years ago

10.5808/gi.21028

Forecasting of the COVID-19 pandemic situation of Korea
Cited by: 3
Author(s): Taewan Goo, Catherine Apio, Gyujin Heo, Doeun Lee, Jong Hyeok Lee, Jisun Lim, Kyulhee Han, Taesung Park
Software Mentions: 4
Published: over 3 years ago

10.1186/s12938-020-00795-y

Optimal length of R–R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning
Cited by: 6
Author(s): Masaya Kisohara, Yoshio Masuda, Emi Yuda, Naonori Ueda, Junichiro Hayano
Software Mentions: 4
Published: over 4 years ago

10.1186/s12711-020-0530-2

SeqBreed: a python tool to evaluate genomic prediction in complex scenarios
Cited by: 7
Author(s): Miguel Pérez‐Enciso, Lino C. Ramírez-Ayala, Laura M. Zingaretti
Software Mentions: 4
Published: over 4 years ago

10.1371/journal.pone.0246165

Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia
Cited by: 10
Author(s): John H. Abel, Marcus A. Badgeley, Benyamin Meschede-Krasa, Gabriel Schamberg, Indie C. Garwood, Kimaya Lecamwasam, S. Chakravarty, David Zhou, Matthew Keating, Patrick L. Purdon, Emery N. Brown
Software Mentions: 4
Published: over 3 years ago

10.3390/s21051794

Multi-U-Net: Residual Module under Multisensory Field and Attention Mechanism Based Optimized U-Net for VHR Image Semantic Segmentation
Cited by: 6
Author(s): Si Ran, Jianli Ding, Bohua Liu, Xiangyu Ge, Guolin Ma
Software Mentions: 4
Published: over 3 years ago

10.3389/fgene.2019.01182

Graph Embedding Deep Learning Guides Microbial Biomarkers' Identification
Cited by: 19
Author(s): Qiang Zhu, Xingpeng Jiang, Qing Zhu, Min Pan, Tingting He
Software Mentions: 4
Published: almost 5 years ago

10.3390/s19112573

Cerebral Small Vessel Disease Biomarkers Detection on MRI-Sensor-Based Image and Deep Learning
Cited by: 9
Author(s): Yi-Zeng Hsieh, Yu Luo, Chen Pan, Mu Chun Su, Chi Jen Chen, Kevin Hsieh
Software Mentions: 4
Published: over 5 years ago

10.1186/s12911-020-01308-6

Learning to detect the onset of slow activity after a generalized tonic–clonic seizure
Cited by: 2
Author(s): Carroll P. Vance, Yejin Kim, Guoqiang Zhang, Samden D. Lhatoo, Shiqiang Tao, Licong Cui, Xiaojin Li, Xiaoqian Jiang
Software Mentions: 4
Published: almost 4 years ago

10.3390/bioengineering5020047

Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013–2014
Cited by: 26
Author(s): Laura A. Zanella-Calzada, Carlos E. Galván-Tejada, Nubia M. Chávez-Lamas, Jesús Rivas-Gutierrez, Rafael Magallanes‐Quintanar, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales
Software Mentions: 4
Published: over 6 years ago

10.3390/s21030761

Detection-Based Object Tracking Applied to Remote Ship Inspection
Cited by: 12
Author(s): Jing Xie, Erik Stensrud, Torbjørn Skramstad
Software Mentions: 4
Published: almost 4 years ago

10.3390/molecules26195752

Statistical Analysis of Chemical Element Compositions in Food Science: Problems and Possibilities
Cited by: 4
Author(s): Matthias Templ, Barbara Templ
Software Mentions: 4
Published: about 3 years ago

10.3390/s20164481

A Deep-Learning Approach for Foot-Type Classification Using Heterogeneous Pressure Data
Cited by: 10
Author(s): Jonghyeok Chae, Young-Jin Kang, Yoojeong Noh
Software Mentions: 4
Published: about 4 years ago

10.3390/jpm11090863

Prediction of Hemorrhagic Transformation after Ischemic Stroke Using Machine Learning
Cited by: 5
Author(s): Jeong-Myeong Choi, Seung Young Seo, Pum-Jun Kim, Yu-Seop Kim, Sang-Hwa Lee, Jong-Hee Sohn, Dong Kyu Kim, Jaejun Lee, Chul‐Ho Kim
Software Mentions: 4
Published: about 3 years ago

10.3389/frai.2020.534696

Deep Learning for Understanding Satellite Imagery: An Experimental Survey
Cited by: 34
Author(s): Sharada P. Mohanty, Jakub Czakon, Kamil Kaczmarek, A. Pyskir, Piotr Tarasiewicz, Saket Kunwar, Janick Rohrbach, Dave Luo, Manjunath Prasad, Sascha Fleer, Jan Philip Göpfert, Akshat Tandon, Guillaume Mollard, Nikhil Rayaprolu, Marcel Salathé, Malte Schilling
Software Mentions: 3
Published: almost 4 years ago

10.1093/database/bay066

Improving the learning of chemical-protein interactions from literature using transfer learning and specialized word embeddings
Cited by: 35
Author(s): Peter Corbett, John P. Boyle
Software Mentions: 3
Published: almost 7 years ago

10.3390/diagnostics11010105

Efficient Detection of Knee Anterior Cruciate Ligament from Magnetic Resonance Imaging Using Deep Learning Approach
Cited by: 73
Author(s): Mazhar Javed Awan, Mohd Shafry Mohd Rahim, Naomie Salim, Mazin Abed Mohammed, Begonya García-Zapirain, Karrar Hameed Abdulkareem
Software Mentions: 3
Published: almost 4 years ago

10.7554/eLife.58630

The Drosophila Individual Activity Monitoring and Detection System (DIAMonDS)
Cited by: 5
Author(s): Ki-Hyeon Seong, Taishi Matsumura, Yuko Shimada-Niwa, Ryusuke Niwa, Sanghoon Kang
Software Mentions: 3
Published: almost 4 years ago

10.1371/journal.pcbi.1008909

Identification of long regulatory elements in the genome of Plasmodium falciparum and other eukaryotes
Cited by: 1
Author(s): Christophe Menichelli, Vincent Guitard, Rafael Miyazawa Martins, Sophie Lèbre, José-Juan Lopez-Rubio, Charles-Henri Lecellier, Laurent Bréhélin
Software Mentions: 3
Published: over 3 years ago

10.7717/peerj-cs.371

Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet
Cited by: 11
Author(s): Elia Cano, José Mendoza-Avilés, Mariana Areiza, Noemi Guerra, José Longino Mendoza-Valdés, Carlos Rovetto
Software Mentions: 3
Published: over 3 years ago

10.3389/fnhum.2019.00191

EEG-Based Prediction of Cognitive Load in Intelligence Tests
Cited by: 49
Author(s): Nir Friedman, Tomer Fekete, Ya’akov Gal, Oren Shriki
Software Mentions: 3
Published: over 5 years ago

10.3389/fnbot.2018.00086

DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal Information
Cited by: 3
Author(s): Visar Arapi, Cosimo Della Santina, Davide Bacciu, Matteo Bianchi, Antonio Bicchi
Software Mentions: 3
Published: almost 6 years ago

10.1016/j.mex.2020.100920

Training LSTM-neural networks on early warning signals of declining cooperation in simulated repeated public good games
Cited by: 5
Author(s): Manfred Füllsack, Marie Lisa Kapeller, Simon Plakolb, Georg Jäger
Software Mentions: 3
Published: almost 5 years ago

10.3389/fphar.2021.660313

AI-Based Drug Discovery of TKIs Targeting L858R/T790M/C797S-Mutant EGFR in Non-small Cell Lung Cancer
Cited by: 7
Author(s): Gyeong Man Choi, Daegeun Kim, Junehwan Oh
Software Mentions: 3
Published: over 3 years ago

10.3389/fphar.2019.01586

Deep Learning Based Drug Metabolites Prediction
Cited by: 16
Author(s): Disha Wang, Wenjun Liu, Zihao Shen, Lei Jiang, Jie Wang, Shiliang Li, Honglin Li
Software Mentions: 3
Published: almost 5 years ago

10.1186/s13059-021-02273-7

MTSplice predicts effects of genetic variants on tissue-specific splicing
Cited by: 21
Author(s): Jianghua Cheng, Muhammed Hasan Çelik, Anshul Kundaje, Julien Gagneur
Software Mentions: 3
Published: over 3 years ago

10.1001/jamanetworkopen.2019.19396

Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation
Cited by: 66
Author(s): Premanand Tiwari, Kathryn Colborn, Derek E. Smith, Fuyong Xing, Debashis Ghosh, Michael Rosenberg
Software Mentions: 3
Published: almost 5 years ago

10.1093/bioinformatics/btz293

A decision-theoretic approach to the evaluation of machine learning algorithms in computational drug discovery
Cited by: 15
Author(s): Oliver P. Watson, Isidro Cortés-Ciriano, Aimee R Taylor, James A Watson
Software Mentions: 3
Published: over 5 years ago

10.1186/s13321-021-00547-7

PUResNet: prediction of protein-ligand binding sites using deep residual neural network
Cited by: 40
Author(s): Jeevan Kandel, Hilal Tayara, Kil To Chong
Software Mentions: 3
Published: about 3 years ago

10.3390/jcm10092030

A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning
Cited by: 13
Author(s): Fang-Ying Chiu, Nguyen Quoc Khanh Le, Cheng-Yu Chen
Software Mentions: 3
Published: over 3 years ago

10.1186/s13014-021-01847-w

DeepBeam: a machine learning framework for tuning the primary electron beam of the PRIMO Monte Carlo software
Cited by: 4
Author(s): Zbisław Tabor, Damian Kabat, M.P.R. Waligórski
Software Mentions: 3
Published: over 3 years ago

10.1186/s13040-020-00211-0

Deep learning methods improve linear B-cell epitope prediction
Cited by: 38
Author(s): Tao Liu, Kaiwen Shi, Wuju Li
Software Mentions: 3
Published: over 4 years ago

10.1186/s12911-021-01608-5

Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence
Cited by: 13
Author(s): Charles M. Anderson, Zerihun Bekele, Yongkai Joshua Qiu, Dana Tschannen, Ivo D. Dinov
Software Mentions: 3
Published: about 3 years ago

10.1186/s12911-020-01268-x

Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data
Cited by: 11
Author(s): Divneet Mandair, Premanand Tiwari, Steven R. Simon, Kathryn Colborn, Michael Rosenberg
Software Mentions: 3
Published: about 4 years ago

10.1038/s41598-021-91253-9

PM10 and PM2.5 real-time prediction models using an interpolated convolutional neural network
Cited by: 36
Author(s): Sangwon Chae, Joonhyeok Shin, Sungjun Kwon, Sangmok Lee, Sungwon Kang, Dong-Hyun Lee
Software Mentions: 3
Published: over 3 years ago

10.3390/s19122775

UAV Positioning for Throughput Maximization Using Deep Learning Approaches
Cited by: 38
Author(s): Yirga Yayeh Munaye, Hsin‐Piao Lin, Abebe Belay, Getaneh Berie Tarekegn
Software Mentions: 3
Published: over 5 years ago

10.3390/s20123511

IoT Sensing Platform as a Driver for Digital Farming in Rural Africa
Cited by: 19
Author(s): Antônio Oliveira-Jr, Carlos Resende, André Alves Pereira, Pedro Madureira, João Gonçalves, Ruben Moutinho, Filipe Soares, Waldir Moreira
Software Mentions: 3
Published: over 4 years ago

10.3390/s20226535

Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data
Cited by: 21
Author(s): Maciej Dzieżyc, Martin Gjoreski, Przemysław Kazienko, Stanisław Saganowski, Matjaž Gams
Software Mentions: 3
Published: almost 4 years ago

10.3390/s20236795

HPIPS: A High-Precision Indoor Pedestrian Positioning System Fusing WiFi-RTT, MEMS, and Map Information
Cited by: 11
Author(s): Lu Huang, Baoguo Yu, Hongsheng Li, Heng Zhang, Shuang Li, Ronggang Zhu, Yaning Li
Software Mentions: 3
Published: almost 4 years ago

Projects: pypi: keras

Papers Mentioning keras 141