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: Theano
https://packages.ecosyste.ms/registries/pypi.org/packages/Theano
Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.
45 versions
Latest release: over 4 years ago
17 dependent packages
483,808 downloads last month
Papers Mentioning Theano 248
10.3389/fbioe.2020.534592
Alzheimer's Disease Detection Through Whole-Brain 3D-CNN MRICited by: 48
Author(s): Guilherme Folego, Marina Weiler, Raphael Fernandes Casseb, Ramon Pires, Armando Freitas da Rocha
Software Mentions: 2
Published: about 4 years ago
10.3389/fchem.2019.00035
e-Sweet: A Machine-Learning Based Platform for the Prediction of Sweetener and Its Relative SweetnessCited by: 23
Author(s): Suqing Zheng, Wenping Chang, Wenxin Xu, Yong Xu, Lin Fu
Software Mentions: 2
Published: almost 6 years ago
10.3389/fgene.2019.00432
NCNet: Deep Learning Network Models for Predicting Function of Non-coding DNACited by: 7
Author(s): Hanyu Zhang, Che Lun Hung, Meiyuan Liu, Xiaoye Hu, Yi Lin
Software Mentions: 2
Published: over 5 years ago
10.3389/fnhum.2021.638052
Deep-Learning-Based Multivariate Pattern Analysis (dMVPA): A Tutorial and a ToolboxCited by: 5
Author(s): Karl Kuntzelman, Jacob Williams, Phui Cheng Lim, Ashok Samal, Prahalada Rao, Matthew Johnson
Software Mentions: 2
Published: over 3 years ago
10.3389/fninf.2018.00009
Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual ProcessingCited by: 3
Author(s): Jacob Huth, Timothée Masquelier, Angelo Arleo
Software Mentions: 2
Published: over 6 years ago
10.3389/fnbot.2019.00006
A Differentiable Physics Engine for Deep Learning in RoboticsCited by: 113
Author(s): Jonas Degrave, Michiel Hermans, Joni Dambre, Francis wyffels
Software Mentions: 2
Published: over 5 years ago
10.3389/fnins.2018.00140
Extraction of Inter-Aural Time Differences Using a Spiking Neuron Network Model of the Medial Superior OliveCited by: 11
Author(s): Jörg Encke, Werner Hemmert
Software Mentions: 2
Published: over 6 years ago
10.3389/fnins.2019.00169
Robust Motion Regression of Resting-State Data Using a Convolutional Neural Network ModelCited by: 13
Author(s): Zhiguo Yang, Xiaowei Zhuang, Karthik Sreenivasan, Virendra Mishra, Dietmar Cordes, Alzheimer’s Disease Neuroimaging Initiative
Software Mentions: 2
Published: over 5 years ago
10.3389/fnins.2020.00276
Editorial: Spiking Neural Network Learning, Benchmarking, Programming and ExecutingCited by: 3
Author(s): Guoqi Li, Lei Deng, Yansong Chua, Peng Li, Emre Neftci, Haizhou Li
Software Mentions: 2
Published: over 4 years ago
10.3389/fpls.2018.00634
MU-LOC: A Machine-Learning Method for Predicting Mitochondrially Localized Proteins in PlantsCited by: 26
Author(s): Ning Zhang, R. Shyama Prasad Rao, Fernanda Salvato, Jesper Foged Havelund, Ian Max Møller, Jay J. Thelen, Dong Xu
Software Mentions: 2
Published: over 6 years ago
10.3389/fpsyg.2017.01255
Toward Studying Music Cognition with Information Retrieval Techniques: Lessons Learned from the OpenMIIR InitiativeCited by: 11
Author(s): Sebastian Stober
Software Mentions: 2
Published: over 7 years ago
10.3390/genes10040273
Prediction of Long Non-Coding RNAs Based on Deep LearningCited by: 21
Author(s): Xiuqin Liu, Bing-Xiu Li, Zeng Guang, Qiao-Yue Liu, Dongmei Ai
Software Mentions: 2
Published: over 5 years ago
10.1186/s12711-020-00544-8
Bayesian neural networks with variable selection for prediction of genotypic valuesCited by: 4
Author(s): Giel H. H. van Bergen, Pascal Duenk, Cornelis A. Albers, P. Bijma, M.P.L. Calus, Y.C.J. Wientjes, Hilbert J. Kappen
Software Mentions: 2
Published: over 4 years ago
10.1186/s13059-017-1189-z
DeepCpG: accurate prediction of single-cell DNA methylation states using deep learningCited by: 340
Author(s): Christof Angermueller, Heather Lee, Wolf Reik
Software Mentions: 2
Published: over 7 years ago
10.1016/j.gpb.2017.07.003
Deep Learning and Its Applications in BiomedicineCited by: 388
Author(s): Chensi Cao, Feng Liu, Hai Tan, Deshou Song, Wenjie Shu, Weizhong Li, Yiming Zhou, Xiaochen Bo, Zhi Xie
Software Mentions: 2
Published: almost 7 years ago
10.1007/s10278-017-9984-3
Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine IntelligenceCited by: 151
Author(s): Zeynettin Akkus, Issa Ali, Jiří Sedlář, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson
Software Mentions: 2
Published: over 7 years ago
10.1148/ryai.2020190103
Robust Deep Learning–based Segmentation of Glioblastoma on Routine Clinical MRI Scans Using Sparsified TrainingCited by: 12
Author(s): Roelant S. Eijgelaar, Maarten R. Visser, Domenique M J Müller, Frederik Barkhof, Hugo Vrenken, Marcel van Herk, Lorenzo Bello, Marco Conti Nibali, Marco Rossi, Tommaso Sciortino, Mitchel S. Berger, Shawn L. Hervey-Jumper, Barbara Kiesel, Georg Widhalm, Julia Furtner, Pierre A. Robe, Emmanuel Mandonnet, Philip C. De Witt Hamer, J.C. de Munck, Marnix G. Witte
Software Mentions: 2
Published: about 4 years ago
10.1038/srep38433
EP-DNN: A Deep Neural Network-Based Global Enhancer Prediction AlgorithmCited by: 39
Author(s): Seong‐Gon Kim, Mrudul Harwani, Ananth Grama, Somali Chaterji
Software Mentions: 2
Published: almost 8 years ago
10.1038/s41598-017-17876-z
Leveraging uncertainty information from deep neural networks for disease detectionCited by: 335
Author(s): Christian Leibig, Vaneeda Allken, Murat Seçkin Ayhan, Philipp Berens, Siegfried Wahl
Software Mentions: 2
Published: almost 7 years ago
10.1038/s41598-018-27569-w
Highly accurate model for prediction of lung nodule malignancy with CT scansCited by: 131
Author(s): Jason Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake Qualls, David G. Politte, Fred Prior, Shuzhong Zhang, Xiuzhen Huang
Software Mentions: 2
Published: over 6 years ago
10.1038/s41598-019-52937-5
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer TranscriptomeCited by: 29
Author(s): Behrooz Azarkhalili, Alihossein Saberi, Hamidreza Chitsaz, Ali Sharifi-Zarchi
Software Mentions: 2
Published: about 5 years ago
10.1038/s41598-019-55351-z
OutCyte: a novel tool for predicting unconventional protein secretionCited by: 43
Author(s): Linlin Zhao, Gereon Poschmann, Daniel M. Waldera-Lupa, Nima Rafiee, Markus Kollmann, Kai Stühler
Software Mentions: 2
Published: almost 5 years ago
10.1038/s41598-020-69920-0
Variability and reproducibility in deep learning for medical image segmentationCited by: 95
Author(s): Félix Renard, Soulaimane Guedria, Noël De Palma, Nicolas Vuillerme
Software Mentions: 2
Published: over 4 years ago
10.3390/s16010115
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity RecognitionCited by: 1,690
Author(s): Francisco Javier Ordóñez, Daniel Roggen
Software Mentions: 2
Published: almost 9 years ago
10.3390/s17061214
DeepMap+: Recognizing High-Level Indoor Semantics Using Virtual Features and Samples Based on a Multi-Length Window FrameworkCited by: 2
Author(s): Wei Zhang, Siwang Zhou
Software Mentions: 2
Published: over 7 years ago
10.3390/s18041288
Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich EnvironmentsCited by: 26
Author(s): Alejandro Baldominos, Yago Sáez, Pedro Isasi
Software Mentions: 2
Published: over 6 years ago
10.3390/s18113933
Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart SensorCited by: 11
Author(s): Maciej Wielgosz, Andrzej Skoczeń, Ernesto De Matteis
Software Mentions: 2
Published: about 6 years ago
10.3390/s20102778
Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art ReviewCited by: 245
Author(s): Mohsen Azimi, Armin Dadras Eslamlou, Gökhan Pekcan
Software Mentions: 2
Published: over 4 years ago
10.3390/ijerph17041323
A Gated Dilated Convolution with Attention Model for Clinical Cloze-Style Reading ComprehensionCited by: 12
Author(s): Bin Wang, Xuejie Zhang, Xiaobing Zhou, Junyi Li
Software Mentions: 2
Published: almost 5 years ago
10.1515/jib-2018-0065
Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the DataCited by: 5
Author(s): Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström
Software Mentions: 2
Published: almost 6 years ago
10.7554/eLife.57012
Uncovering the computational mechanisms underlying many-alternative choiceCited by: 8
Author(s): Armin W. Thomas, Felix Molter, Ian Krajbich
Software Mentions: 2
Published: over 3 years ago
10.4172/jpb.1000419
A Template-Based Protein Structure Reconstruction Method Using Deep Autoencoder LearningCited by: 9
Author(s): Haiou Li
Software Mentions: 2
Published: almost 9 years ago
10.1523/ENEURO.0023-18.2018
How Much Does Movement and Location Encoding Impact Prefrontal Cortex Activity? An Algorithmic Decoding Approach in Freely Moving RatsCited by: 9
Author(s): Adrian Lindsay, Barak F. Caracheo, Jamie J. S. Grewal, Daniel Leibovitz, Jeremy K. Seamans
Software Mentions: 2
Published: over 6 years ago
10.1523/ENEURO.0427-20.2020
PsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive TasksCited by: 11
Author(s): Daniel Ehrlich, Jasmine Stone, David Brandfonbrener, Alexander Atanasov, John D. Murray
Software Mentions: 2
Published: almost 4 years ago
10.1371/journal.pone.0206057
Sense classification of shallow discourse relations with focused RNNsCited by: 1
Author(s): Gregor Weiß, Marko Bajec
Software Mentions: 1
Published: about 6 years ago
10.3390/s19040861
An LSTM-Based Method with Attention Mechanism for Travel Time PredictionCited by: 84
Author(s): Xiangdong Ran, Zhiguang Shan, Yufei Fang, Lin Chen
Software Mentions: 1
Published: almost 6 years ago
10.1371/journal.pone.0153904
Prediction of Cascading Failures in Spatial NetworksCited by: 7
Author(s): Shunkun Yang, Jiaquan Zhang, Dan Lu
Software Mentions: 1
Published: over 8 years ago
10.3390/s19092063
A Convolution Component-Based Method with Attention Mechanism for Travel-Time PredictionCited by: 12
Author(s): Xiangdong Ran, Zhiguang Shan, Yufei Fang, Lin Chen
Software Mentions: 1
Published: over 5 years ago
10.3389/fnhum.2019.00076
Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning ArchitecturesCited by: 52
Author(s): Meysam Golmohammadi, Amir Hossein Harati Nejad Torbati, Silvia Lopez de Diego, Iyad Obeid, J. Picone
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0178992
A preliminary examination of the diagnostic value of deep learning in hip osteoarthritisCited by: 118
Author(s): Ye Xue, Rongguo Zhang, Yufeng Deng, Kuan Chen, Tao Jiang
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0129435
Comparing Different Classifiers in Sensory Motor Brain Computer InterfacesCited by: 51
Author(s): Hossein Bashashati, Rabab K. Ward, Gary E. Birch, Ali Bashashati
Software Mentions: 1
Published: over 9 years ago
10.1371/journal.pone.0239417
Information integration and decision making in flowering time controlCited by: 3
Author(s): Linlin Zhao, Sarah Richards, Franziska Turck, Markus Kollmann
Software Mentions: 1
Published: about 4 years ago
10.3390/s19163549
AI-Based Early Change Detection in Smart Living EnvironmentsCited by: 10
Author(s): Giovanni Diraco, Alessandro Leone, Pietro Siciliano
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0137036
Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural NetworksCited by: 139
Author(s): Petros Pavlos Ypsilantis, Musib Siddique, Hyon Mok Sohn, Andrew Davies, Gary Cook, Vicky Goh, Giovanni Montana
Software Mentions: 1
Published: about 9 years ago
10.1155/2017/6375059
CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural NetworksCited by: 3
Author(s): Jing Wang, Cheng Ling, Juan Gao
Software Mentions: 1
Published: almost 8 years ago
10.3389/fnbot.2018.00035
A Survey of Robotics Control Based on Learning-Inspired Spiking Neural NetworksCited by: 106
Author(s): Zhenshan Bing, Claus Meschede, Florian Röhrbein, Kai Huang, Alois Knoll
Software Mentions: 1
Published: over 6 years ago
10.3389/fnins.2016.00241
Stochastic Synapses Enable Efficient Brain-Inspired Learning MachinesCited by: 96
Author(s): Emre Neftci, Bruno U. Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs
Software Mentions: 1
Published: over 8 years ago
10.3389/fnins.2020.00207
Using Deep Convolutional Neural Networks for Neonatal Brain Image SegmentationCited by: 21
Author(s): Yang Ding, Rolando Pavó Acosta, Vicente Enguix, Sabrina Suffren, Janosch Ortmann, David Luck, José Dolz, Gregory A. Lodygensky
Software Mentions: 1
Published: over 4 years ago
10.3390/s20082320
Counter a Drone in a Complex Neighborhood Area by Deep Reinforcement LearningCited by: 9
Author(s): Ender Çetin, Cristina Barrado, Enric Pastor
Software Mentions: 1
Published: over 4 years ago
10.3390/s20102893
Attention-Based Automated Feature Extraction for Malware AnalysisCited by: 15
Author(s): Sunoh Choi, Jangseong Bae, Changki Lee, Youngsoo Kim, Jong-Hyun Kim
Software Mentions: 1
Published: over 4 years ago
10.3389/fnins.2018.00781
Automatic Human Sleep Stage Scoring Using Deep Neural NetworksCited by: 99
Author(s): Alexander Malafeev, Dmitry Laptev, Stefan Bauer, Ximena Omlin, Aleksandra Wierzbicka, Adam Wichniak, Wojciech Jernajczyk, Robert Riener, Joachim M. Buhmann, Peter Achermann
Software Mentions: 1
Published: about 6 years ago
10.1371/journal.pcbi.1006816
Inferring neural circuit structure from datasets of heterogeneous tuning curvesCited by: 3
Author(s): Takafumi Arakaki, Gregory Barello, Yashar Ahmadian
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2017.00324
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning MachinesCited by: 169
Author(s): Emre Neftci, Charles Augustine, Paul Sauseng, Georgios Detorakis
Software Mentions: 1
Published: over 7 years ago
10.7554/eLife.21492
Reward-based training of recurrent neural networks for cognitive and value-based tasksCited by: 118
Author(s): Hui Song, Guangyu Robert Yang, Xiao Jing Wang
Software Mentions: 1
Published: almost 8 years ago
10.3389/fnins.2020.00417
Paired Trial Classification: A Novel Deep Learning Technique for MVPACited by: 7
Author(s): Jacob Williams, Ashok Samal, Prahalada Rao, Matthew Johnson
Software Mentions: 1
Published: over 4 years ago
10.3389/fonc.2018.00108
Lung Nodule Detection via Deep Reinforcement LearningCited by: 83
Author(s): Issa Ali, Gregory R. Hart, Gowthaman Gunabushanam, Ying Liang, Wazir Muhammad, Bradley J. Nartowt, Michael J. Kane, Xiaomei Ma, Jun Deng
Software Mentions: 1
Published: over 6 years ago
10.3389/fonc.2020.01192
Computed Tomography–Based Differentiation of Benign and Malignant Craniofacial Lesions in Neurofibromatosis Type I Patients: A Machine Learning ApproachCited by: 4
Author(s): Chengjiang Wei, Yu-Shu Cheng, Yin Tang, Wei Wang, Yu Gu, Jun Ren, Xi-Wei Cui, Xiang Lian, Jin Liu, Huijing Wang, Bin Gu, Tao Zan, Qingfeng Li, Zhichao Wang
Software Mentions: 1
Published: over 4 years ago
10.3389/fphys.2021.676118
Using Artificial Intelligence for Automatic Segmentation of CT Lung Images in Acute Respiratory Distress SyndromeCited by: 11
Author(s): Peter Herrmann, Mattia Busana, Massimo Cressoni, Joachim Lotz, Onnen Moerer, Leif Saager, Konrad Meissner, Michael Quintel, Luciano Gattinoni
Software Mentions: 1
Published: about 3 years ago
10.3390/s20113243
MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer’s Disease: A SurveyCited by: 85
Author(s): Nagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee
Software Mentions: 1
Published: over 4 years ago
10.3390/s20195606
Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning ModelCited by: 75
Author(s): Yung‐Hui Li, Latifa Nabila Harfiya, Kartika Purwandari, Yu-De Lin
Software Mentions: 1
Published: about 4 years ago
10.3390/s21010260
Detection of Dementia-Related Abnormal Behaviour Using Recursive Auto-EncodersCited by: 4
Author(s): Damla Arifoǧlu, Yan Wang, Abdelhamid Bouchachia
Software Mentions: 1
Published: almost 4 years ago
10.1371/journal.pcbi.1006238
Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screeningCited by: 38
Author(s): Daniel Jiménez-Carretero, Vahid Abrishami, Laura Fernández-de-Manúel, Irene Palacios, Antonio Quílez-Álvarez, Alberto Díez-Sánchez, Miguel Á. del Pozo, Marı́a C. Montoya
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12938-019-0649-y
CNNs for automatic glaucoma assessment using fundus images: an extensive validationCited by: 178
Author(s): Andrés Diaz-Pinto, Sandra Morales, Valery Naranjo, Thomas Köhler, José M. Mossi, Amparo Navea
Software Mentions: 1
Published: over 5 years ago
10.3390/s21041492
Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A ReviewCited by: 53
Author(s): Guoming Li, Yanbo Huang, Zhiqian Chen, Gary Daniel Chesser, J.L. Purswell, John E. Linhoss, Yang Zhao
Software Mentions: 1
Published: almost 4 years ago
10.1371/journal.pcbi.1004792
Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible FrameworkCited by: 202
Author(s): Hui Song, Guangyu Robert Yang, Xiao Jing Wang
Software Mentions: 1
Published: over 8 years ago
10.1186/s13059-020-01978-5
Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosamplesCited by: 20
Author(s): Jacob Schreiber, Jeffrey A. Bilmes, William Stafford Noble
Software Mentions: 1
Published: over 4 years ago
10.1186/s13059-020-02077-1
Computational inference of cancer-specific vulnerabilities in clinical samplesCited by: 7
Author(s): Kiwon Jang, Min Ji Park, Jae Soon Park, Haeun Hwangbo, Min Kyung Sung, Sinae Kim, Joohee Jung, Jong Won Lee, Sei-Hyun Ahn, Suhwan Chang, Jung Kyoon Choi
Software Mentions: 1
Published: over 4 years ago
10.3390/s21051880
Q-Meter: Quality Monitoring System for Telecommunication Services Based on Sentiment Analysis Using Deep LearningCited by: 21
Author(s): Samuel Terra Vieira, Renata Lopes Rosa, Demóstenes Zegarra Rodríguez, Miguel Arjona Ramírez, Muhammad Saadi, Lunchakorn Wuttisittikulkij
Software Mentions: 1
Published: over 3 years ago
10.1371/journal.pcbi.1007091
Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortexCited by: 42
Author(s): Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang
Software Mentions: 1
Published: about 5 years ago
10.1186/s13244-019-0832-5
Deep learning workflow in radiology: a primerCited by: 95
Author(s): Emmanuel Montagnon, Milena Cerny, Alexandre Cadrin-Chênevert, Vincent Hamilton, Thomas Derennes, André Ilinca, Franck Vandenbroucke‐Menu, Simon Turcotte, Samuel Kadoury, An Tang
Software Mentions: 1
Published: almost 5 years ago
10.1117/1.JBO.26.4.040901
Deep learning in photoacoustic imaging: a reviewCited by: 28
Author(s): Handi Deng, Hui Qiao, Qionghai Dai, Cheng Ma
Software Mentions: 1
Published: over 3 years ago
10.1371/journal.pcbi.1005324
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning ModelCited by: 767
Author(s): Sheng Wang, Siqi Sun, Zhen Li, Renyu Zhang, Jinbo Xu
Software Mentions: 1
Published: almost 8 years ago
10.1371/journal.pbio.2000663
A mechanism for the cortical computation of hierarchical linguistic structureCited by: 77
Author(s): Andrea E. Martin, Leonidas A. A. Doumas
Software Mentions: 1
Published: over 7 years ago
10.1186/s13007-021-00722-9
Plant diseases and pests detection based on deep learning: a reviewCited by: 250
Author(s): Jun Li, Xuewei Wang
Software Mentions: 1
Published: over 3 years ago
10.1098/rsta.2019.0349
Considering discrepancy when calibrating a mechanistic electrophysiology modelCited by: 40
Author(s): Chon Lok Lei, Sanmitra Ghosh, Dominic G. Whittaker, Yasser Aboelkassem, Kylie A. Beattie, Chris D. Cantwell, Tammo Delhaas, C. Stuart Houston, Gustavo Montes Novaes, Alexander V. Panfilov, Pras Pathmanathan, Marina Riabiz, Rodrigo Weber dos Santos, John Walmsley, Keith Worden, Gary R. Mirams, Richard Wilkinson
Software Mentions: 1
Published: over 4 years ago
10.1007/s10278-017-9978-1
Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic KidneysCited by: 99
Author(s): Timothy L. Kline, Panagiotis Korfiatis, Marie E. Edwards, Jaime D. Blais, Frank S. Czerwiec, Peter C. Harris, Bernard F. King, Vicente E. Torres, Bradley J. Erickson
Software Mentions: 1
Published: over 7 years ago
10.3390/s21062141
Sensor-Based Human Activity Recognition with Spatio-Temporal Deep LearningCited by: 66
Author(s): Ohoud Nafea, Wadood Abdul, Ghulam Muhammad, Mansour Alsulaiman
Software Mentions: 1
Published: over 3 years ago
10.1007/s10278-018-0079-6
Hello World Deep Learning in Medical ImagingCited by: 76
Author(s): Paras Lakhani, Daniel L. Gray, Carl R. Pett, Paul Nagy, George Shih
Software Mentions: 1
Published: over 6 years ago
10.1002/prot.25824
Recent developments in deep learning applied to protein structure predictionCited by: 53
Author(s): Shaun M. Kandathil, Joe G Greener, David T. Jones
Software Mentions: 1
Published: about 5 years ago
10.3390/s21144749
A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf DiseasesCited by: 127
Author(s): Vijaypal Singh Dhaka, Sangeeta Vaibhav Meena, Vijaypal Singh Dhaka, Deepak Sinwar, . Kavita, Muhammad Fazal Ijaz, Marcin Woźniak
Software Mentions: 1
Published: over 3 years ago
10.1007/s12194-017-0394-5
Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learningCited by: 131
Author(s): Bram van Ginneken
Software Mentions: 1
Published: almost 8 years ago
10.7717/peerj.8311
A systematic review of the application of machine learning in the detection and classification of transposable elementsCited by: 21
Author(s): Simón Orozco-Arias, Gustavo Isaza, Romain Guyot, Reinel Tabares-Soto
Software Mentions: 1
Published: almost 5 years ago
10.1038/srep19598
Predicting DNA Methylation State of CpG Dinucleotide Using Genome Topological Features and Deep NetworksCited by: 74
Author(s): Yiheng Wang, Tong Liu, Dong Xu, Huidong Shi, Chaoyang Zhang, Yin Yuan Mo, Wenxu Zheng
Software Mentions: 1
Published: almost 9 years ago
10.1038/srep26286
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosisCited by: 754
Author(s): Geert Litjens, Clara I. Sánchez, N. K. Timofeeva, Meyke Hermsen, Irıs D. Nagtegaal, Iringo Kovacs, Christina Hulsbergen Van De Kaa, Peter Bult, Bram van Ginneken, Jeroen van der Laak
Software Mentions: 1
Published: over 8 years ago
10.1186/s13040-017-0148-2
nRC: non-coding RNA Classifier based on structural featuresCited by: 52
Author(s): Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Riccardo Rizzo, Alfonso Urso
Software Mentions: 1
Published: over 7 years ago
10.1038/srep46368
Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation DataCited by: 52
Author(s): Daniel Stoecklein, Kin Gwn Lore, M. C. R. Davies, Soumik Sarkar, Baskar Ganapathysubramanian
Software Mentions: 1
Published: over 7 years ago
10.1155/2020/6660489
Adaptive Anomaly Detection Framework Model Objects in CyberspaceCited by: 24
Author(s): Hasan Alkahtani, Theyazn H. H. Aldhyani, Mohammed Al-Yaari
Software Mentions: 1
Published: almost 4 years ago
10.7717/peerj.3874
Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularizationCited by: 94
Author(s): Philipp Kainz, Michael Pfeiffer, Martin Urschler
Software Mentions: 1
Published: about 7 years ago
10.1038/s41598-017-11817-6
Predicting clinical outcomes from large scale cancer genomic profiles with deep survival modelsCited by: 160
Author(s): Sahar Yousefi, Fatemeh Amrollahi, Mohamed Amgad, Chengliang Dong, Joshua E. Lewis, Congzheng Song, David Gutman, Sameer H. Halani, José E. Velázquez Vega, Daniel J. Brat, Lee Cooper
Software Mentions: 1
Published: about 7 years ago
10.1186/s40246-019-0225-3
Human mitochondrial genome compression using machine learning techniquesCited by: 6
Author(s): Rongjie Wang, Tianyi Zang, Yadong Wang
Software Mentions: 1
Published: about 5 years ago
10.1038/s41598-018-24475-z
Action and object words are differentially anchored in the sensory motor system - A perspective on cognitive embodimentCited by: 29
Author(s): Houpand Horoufchin, Danilo Bzdok, Giovanni Buccino, Anna M. Borghi, Ferdinand Binkofski
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-018-26543-w
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10.1016/j.omtn.2019.04.025
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10.1155/2017/9083916
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