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: bioconductor: ADAM
https://packages.ecosyste.ms/registries/bioconductor.org/packages/ADAM
ADAM: Activity and Diversity Analysis Module
1 version
Latest release: about 1 year ago
1 dependent package
5,210 downloads total
Papers Mentioning ADAM 482
10.1371/journal.pone.0255939
Automatic segmentation of gadolinium-enhancing lesions in multiple sclerosis using deep learning from clinical MRICited by: 9
Author(s): Sibaji Gaj, Daniel Ontaneda, Kunio Nakamura
Software Mentions: 1
Published: about 3 years ago
10.1371/journal.pone.0247404
A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical recordsCited by: 21
Author(s): Akshaya V. Annapragada, Marcella Donaruma‐Kwoh, Ananth Annapragada, Zbigniew Starosolski
Software Mentions: 1
Published: over 3 years ago
10.3390/cancers13122866
Development and External Validation of Deep-Learning-Based Tumor Grading Models in Soft-Tissue Sarcoma Patients Using MR ImagingCited by: 15
Author(s): Fernando A. Navarro, Hendrik Dapper, Rebecca Asadpour, Carolin Knebel, Matthew B. Spraker, Vincent Schwarze, Stephanie K. Schaub, Nina A. Mayr, Katja Specht, Henry C. Woodruff, Philippe Lambin, Alexandra S. Gersing, Matthew J. Nyflot, Bjoern Menze, Stephanie E. Combs, Jan C. Peeken
Software Mentions: 1
Published: over 3 years ago
10.1038/s41421-018-0033-2
Cancer cell specific inhibition of Wnt/β-catenin signaling by forced intracellular acidificationCited by: 32
Author(s): Svitlana Melnik, Dmytro Dvornikov, Karin Müller‐Decker, Sofia Depner, Peter Stannek, Michael Meister, Arne Warth, Michael Thomas, Tomas Muley, Angela Risch, Christoph Plass, Ursula Klingmüller, Christof Niehrs, Andrey Glinka
Software Mentions: 1
Published: over 6 years ago
10.1093/cercor/bhz038
No Evidence that Predictions and Attention Modulate the First Feedforward Sweep of Cortical Information ProcessingCited by: 43
Author(s): Josipa Alilović, Bart Timmermans, Leon C. Reteig, Simon van Gaal, Heleen A. Slagter
Software Mentions: 1
Published: over 5 years ago
10.1093/texcom/tgaa016
Decoding Stimulus–Response Representations and Their Stability Using EEG-Based Multivariate Pattern AnalysisCited by: 48
Author(s): Ádám Takács, Moritz Mückschel, Veit Roessner, Christian Beste
Software Mentions: 1
Published: almost 5 years ago
10.1039/c7sc03542j
Machine learning for quantum dynamics: deep learning of excitation energy transfer propertiesCited by: 71
Author(s): Florian Häse, Christoph Kreisbeck, Alán Aspuru‐Guzik
Software Mentions: 1
Published: almost 8 years ago
10.1039/c9sc04026a
Constrained Bayesian optimization for automatic chemical design using variational autoencodersCited by: 159
Author(s): Ryan‐Rhys Griffiths, José Miguel Hernández-Lobato
Software Mentions: 1
Published: almost 5 years ago
10.1111/cogs.12476
Adaptive Anchoring Model: How Static and Dynamic Presentations of Time Series Influence Judgments and PredictionsCited by: 10
Author(s): Petko Kusev, Paul van Schaik, Krasimira Tsaneva-Atanasova, Ásgeir Juliusson, Nick Chater
Software Mentions: 1
Published: over 7 years ago
10.1038/s42003-021-02622-z
GenNet framework: interpretable deep learning for predicting phenotypes from genetic dataCited by: 14
Author(s): Arno van Hilten, Steven A. Kushner, Manfred Kayser, M. Arfan Ikram, Hieab H.H. Adams, Caroline C W Klaver, Wiro J. Niessen, Gennady V. Roshchupkin
Software Mentions: 1
Published: about 3 years ago
10.1007/s40747-021-00405-x
A review on Deep Learning approaches for low-dose Computed Tomography restorationCited by: 29
Author(s): K.A.S.H. Kulathilake, Nor Aniza Abdullah, Aznul Qalid Md Sabri, Khin Wee Lai
Software Mentions: 1
Published: over 3 years ago
10.1155/2021/8882801
Choroid Segmentation of Retinal OCT Images Based on CNN Classifier and <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <msub> <mrow> <mi>l</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </math>-<math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <msub> <mrow> <mi>l</mi> </mrow> <mrow> <mi>q</mi> </mrow> </msub> </math> FitterCited by: 9
Author(s): Fang He, Rachel Ka Man Chun, Zicheng Qiu, Shijie Yu, Yun Q. Shi, Chi‐Ho To, Xiaojun Chen
Software Mentions: 1
Published: almost 4 years ago
10.1155/2021/2485934
Multiclassification of Endoscopic Colonoscopy Images Based on Deep Transfer LearningCited by: 11
Author(s): Yan Wang, Zixuan Feng, Liping Song, Xiangbin Liu, Shuai Liu
Software Mentions: 1
Published: over 3 years ago
10.1016/j.dib.2020.106105
Whole genome sequence data of Lactobacillus fermentum HFD1, the producer of antibacterial peptidesCited by: 2
Author(s): Georgii D Ozhegov, Anna S Pavlova, Darya E. Zhuravleva, Natalia Gogoleva, Elena Shagimardanova, Maria Markelova, D. R. Yarullina, Airat R. Kayumov
Software Mentions: 1
Published: about 4 years ago
10.3390/diagnostics11081393
Narrow Band Active Contour Attention Model for Medical SegmentationCited by: 6
Author(s): Ngan Le, Toan Duc Bui, Viet-Khoa Vo-Ho, Kashu Yamazaki, Khoa Luu
Software Mentions: 1
Published: over 3 years ago
10.3390/diagnostics11010011
In-Series U-Net Network to 3D Tumor Image Reconstruction for Liver Hepatocellular Carcinoma RecognitionCited by: 9
Author(s): Wen‐Fan Chen, Hsin‐You Ou, Keng-Hao Liu, Zhi-Yun Li, Chien-Chang Liao, Shaoyu Wang, Wen Nan Huang, Yu‐Fan Cheng, Cheng-Tang Pan
Software Mentions: 1
Published: almost 4 years ago
10.3390/diagnostics10080532
Efficient Bone Metastasis Diagnosis in Bone Scintigraphy Using a Fast Convolutional Neural Network ArchitectureCited by: 28
Author(s): Νικόλαος Παπανδριανός, Elpiniki I. Papageorgiou, Athanasios Anagnostis, Κ. Παπαγεωργίου
Software Mentions: 1
Published: over 4 years ago
10.3390/diagnostics9030104
Identification of Leukemia Subtypes from Microscopic Images Using Convolutional Neural NetworkCited by: 86
Author(s): Nizar A. Ahmed, Altuğ Yiğit, Zerrin Işık, Adil Alpkoçak
Software Mentions: 1
Published: about 5 years ago
10.1007/s42521-020-00026-y
Neural networks and arbitrage in the VIXCited by: 9
Author(s): Joerg Osterrieder, Daniel Kucharczyk, Silas Rudolf, Daniel Wittwer
Software Mentions: 1
Published: over 4 years ago
10.1016/j.drugalcdep.2015.08.018
Quantifying crime associated with drug use among a large cohort of sanctioned offenders in England and WalesCited by: 28
Author(s): Matthias Pierce, Karen P. Hayhurst, Sheila M. Bird, Matthew Hickman, Toby Seddon, Graham Dunn, Tim Millar
Software Mentions: 1
Published: about 9 years ago
10.1186/s40658-021-00408-0
Multimodal phantoms for clinical PET/MRICited by: 10
Author(s): Eve Lennie, Charalampos Tsoumpas, Steven Sourbron
Software Mentions: 1
Published: about 3 years ago
10.1186/s40658-019-0252-0
Accelerated SPECT image reconstruction with FBP and an image enhancement convolutional neural networkCited by: 35
Author(s): Martijn M A Dietze, Woutjan Branderhorst, Britt Kunnen, Max A. Viergever, Hugo W. A. M. de Jong
Software Mentions: 1
Published: over 5 years ago
10.3390/e22050496
On Training Neural Network Decoders of Rate Compatible Polar Codes via Transfer LearningCited by: 0
Author(s): Hyunjae Lee, Eun Young Seo, Hyosang Ju, Sang-Hyo Kim
Software Mentions: 1
Published: over 4 years ago
10.3390/e21070646
Emotion Recognition from Skeletal MovementsCited by: 60
Author(s): Tomasz Sapiński, Dorota Kamińska, A. Pelikant, Gholamreza Anbarjafari
Software Mentions: 1
Published: over 5 years ago
10.3390/e22090957
A Turbo Q-Learning (TQL) for Energy Efficiency Optimization in Heterogeneous NetworksCited by: 1
Author(s): Xiumin Wang, Lei Li, Jun Li, Zhengquan Li
Software Mentions: 1
Published: about 4 years ago
10.3390/e20110823
Dissecting Deep Learning Networks—Visualizing Mutual InformationCited by: 12
Author(s): Hui Fang, Victoria Wang, Motonori Yamaguchi
Software Mentions: 1
Published: about 6 years ago
10.3390/e23091114
A Deep Neural Network Method for Arterial Blood Flow Profile ReconstructionCited by: 3
Author(s): Dan Yang, Yuchen Wang, Xu Bin, Xu Wang, Yanjun Liu, Tonglei Cheng
Software Mentions: 1
Published: about 3 years ago
10.3390/e21030305
Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac ArrestCited by: 52
Author(s): Andoni Elola, Elisabete Aramendi, Unai Irusta, Artzai Picón, Erik Alonso, Pamela Owens, Ahamed H. Idris
Software Mentions: 1
Published: over 5 years ago
10.3390/e22020198
Are Classification Deep Neural Networks Good for Blind Image Watermarking?Cited by: 10
Author(s): Vedran Vukotić, Vivien Chappelier, Teddy Furon
Software Mentions: 1
Published: almost 5 years ago
10.3390/e22020213
Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture EmbeddingCited by: 8
Author(s): Yiğit Uğur, George Arvanitakis, Abdellatif Zaidi
Software Mentions: 1
Published: almost 5 years ago
10.3390/e22020151
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic ViewsCited by: 59
Author(s): Abdellatif Zaidi, Iñaki Estella-Aguerri, Shlomo Shamai
Software Mentions: 1
Published: almost 5 years ago
10.1007/s11356-020-08346-7
Analysis of spatial planning documents and strategic environmental assessment reports with regard to hazards of major industrial accidents: a case study involving six Polish citiesCited by: 5
Author(s): Maria T. Markiewicz
Software Mentions: 1
Published: over 4 years ago
10.1007/s00330-020-07461-w
Improvement of late gadolinium enhancement image quality using a deep learning–based reconstruction algorithm and its influence on myocardial scar quantificationCited by: 27
Author(s): N. van der Velde, H. Carlijne Hassing, Brendan J. Bakker, Piotr A. Wielopolski, R. Marc Lebel, Martin A. Janich, Isabella Kardys, Ricardo P.J. Budde, Alexander Hirsch
Software Mentions: 1
Published: about 4 years ago
10.1155/2021/1967158
Sex-Biased Gene Expression of Mesobuthus martensii Collected from Gansu Province, China, Reveals Their Different Therapeutic PotentialsCited by: 3
Author(s): Songyu Gao, Feng Wu, Xintong Chen, Ying Yang, Yujuan Zhu, Xiao Liang, Jing Shang, Xiaowei Bao, Yi Luo, Haihu Chen, Qing Liu
Software Mentions: 1
Published: over 3 years ago
10.1186/s40662-020-00192-5
Deep learning-based analysis of macaque corneal sub-basal nerve fibers in confocal microscopy imagesCited by: 16
Author(s): Jonathan D. Oakley, Daniel B. Russakoff, Megan E. McCarron, Rachel L. Weinberg, Jessica Izzi, Stuti Misra, Charles N J McGhee, Joseph L. Mankowski
Software Mentions: 1
Published: over 4 years ago
10.12688/f1000research.9663.1
The 2016 Bioinformatics Open Source Conference (BOSC)Cited by: 2
Author(s): Nomi L. Harris, Peter J. A. Cock, Brad Chapman, Christopher J. Fields, Karsten Hokamp, Hilmar Lapp, Monica Muñoz-Torres, Heather L. Wiencko
Software Mentions: 1
Published: about 8 years ago
10.12688/f1000research.11860.1
A primer on infrarenal abdominal aortic aneurysmsCited by: 3
Author(s): Norman Hertzer
Software Mentions: 1
Published: about 7 years ago
10.3389/frai.2020.00012
A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO2)Cited by: 6
Author(s): Michael Germuska, Harold L. Chandler, Thomas W. Okell, Fabrizio Fasano, Valentina Tomassini, Kevin Murphy, Richard G. Wise
Software Mentions: 1
Published: over 4 years ago
10.3389/frai.2020.567356
Algorithmic Probability-Guided Machine Learning on Non-Differentiable SpacesCited by: 3
Author(s): Santiago Hernández-Orozco, Héctor Zenil, Jürgen Riedel, Adam Uccello, Narsis A. Kiani, Jesper Tegnér
Software Mentions: 1
Published: almost 4 years ago
10.3389/fdata.2020.00019
Reducing Annotation Burden Through Multimodal LearningCited by: 8
Author(s): Kevin Lopez, Samah Jamal Fodeh, Ahmed Allam, Cynthia Brandt, Michael Krauthammer
Software Mentions: 1
Published: over 4 years ago
10.3389/fbioe.2020.00720
Detection and Severity Assessment of Peripheral Occlusive Artery Disease via Deep Learning Analysis of Arterial Pulse Waveforms: Proof-of-Concept and Potential ChallengesCited by: 11
Author(s): Soo‐Ho Kim, Jin-Oh Hahn, Byeng D. Youn
Software Mentions: 1
Published: over 4 years ago
10.3389/fbioe.2021.696251
MBFFNet: Multi-Branch Feature Fusion Network for ColonoscopyCited by: 5
Author(s): Houcheng Su, Bin Lin, Xiaoshuang Huang, Jiao Li, Kailin Jiang, Xuliang Duan
Software Mentions: 1
Published: over 3 years ago
10.3389/fbioe.2020.00604
CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor DataCited by: 50
Author(s): Eva Dorschky, Marlies Nitschke, Christine F. Martindale, Antonie J. van den Bogert, Anne D. Koelewijn, Bjoern M. Eskofier
Software Mentions: 1
Published: over 4 years ago
10.3389/fncom.2018.00085
Recurrent Deep Neural Networks for Real-Time Sleep Stage Classification From Single Channel EEGCited by: 51
Author(s): Erik Bresch, Ulf Großekathöfer, Gary Garcia-Molina
Software Mentions: 1
Published: about 6 years ago
10.3389/fncom.2018.00101
Transfer of Spatial Contact Information Among Limbs and the Notion of Peripersonal Space in InsectsCited by: 12
Author(s): Volker Dürr, Malte Schilling
Software Mentions: 1
Published: almost 6 years ago
10.3389/fncom.2021.678158
Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical SystemsCited by: 10
Author(s): Ian Jordan, Piotr Sokół, Il Park
Software Mentions: 1
Published: over 3 years ago
10.3389/fgene.2020.00866
Phenotypically Selective Genotyping Realizes More Genetic Gains in a Rainbow Trout Breeding Program in the Presence of Genotype-by-Environment InteractionsCited by: 8
Author(s): Thinh Tuan Chu, Anders Christian Sørensen, Mogens Sandø Lund, Kristian Meier, Torben Nielsen, Guosheng Su
Software Mentions: 1
Published: about 4 years ago
10.3389/fgene.2020.578123
Strategies Using Genomic Selection to Increase Genetic Gain in Breeding Programs for WheatCited by: 14
Author(s): Biructawit Bekele Tessema, Huiming Liu, Anders Christian Sørensen, Jeppe Reitan Andersen, Just Jensen
Software Mentions: 1
Published: almost 4 years ago
10.3389/fgene.2020.00251
Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding ProgramsCited by: 9
Author(s): Lu Cao, Huiming Liu, Henk Mulder, Mark Henryon, Jørn Rind Thomasen, Morten Kargo, Anders Christian Sørensen
Software Mentions: 1
Published: over 4 years ago
10.3389/fgene.2020.00345
Controlling Coancestry and Thereby Future Inbreeding by Optimum-Contribution Selection Using Alternative Genomic-Relationship MatricesCited by: 8
Author(s): Gebreyohans Tesfaye Gebregiwergis, Anders Christian Sørensen, Mark Henryon, T.H.E. Meuwissen
Software Mentions: 1
Published: over 4 years ago
10.3389/fnhum.2018.00420
BCI to Potentially Enhance Streaming Images to a VR Headset by Predicting Head RotationCited by: 5
Author(s): Anne-Marie Brouwer, Jasper van der Waa, Hans Stokking
Software Mentions: 1
Published: about 6 years ago
10.3389/fnhum.2013.00253
The ADaptation and Anticipation Model (ADAM) of sensorimotor synchronizationCited by: 106
Author(s): M. C. van der Steen, Peter E. Keller
Software Mentions: 1
Published: almost 12 years ago
10.3389/fnhum.2021.687288
Large-Scale Brain Functional Network Integration for Discrimination of Autism Using a 3-D Deep Learning ModelCited by: 13
Author(s): Ming–Hsuan Yang, Menglin Cao, Yuhao Chen, Yanni Chen, Fan Geng, Chenxi Li, Jue Wang, Tian Liu
Software Mentions: 1
Published: over 3 years ago
10.3389/fmicb.2018.00325
Designing Antibacterial Peptides with Enhanced Killing KineticsCited by: 26
Author(s): Faiza Hanif Waghu, Shaini Joseph, Sanket Ghawali, Elvis A. F. Martis, Taruna Madan, K. V. Venkatesh, Susan Idicula‐Thomas
Software Mentions: 1
Published: over 6 years ago
10.3389/fneur.2021.685276
Applying Deep Learning to Accelerated Clinical Brain Magnetic Resonance Imaging for Multiple SclerosisCited by: 8
Author(s): Ashika Mani, Tales Santini, Radhika Puppala, Megan Dahl, Shruthi Venkatesh, Elizabeth Walker, Megan DeHaven, Cigdem Isitan, Tamer S. Ibrahim, Long Wang, Tao Zhang, Enhao Gong, Jessica Barrios‐Martinez, Fang‐Cheng Yeh, Robert T. Krafty, Joseph Mettenburg, Zongqi Xia
Software Mentions: 1
Published: about 3 years ago
10.3389/fnbot.2020.600984
One-Shot Multi-Path Planning Using Fully Convolutional Networks in a Comparison to Other AlgorithmsCited by: 4
Author(s): Tomas Kulvičius, Sebastian Herzog, Timo Lüddecke, Minija Tamošiūnaitė, Florentin Wörgötter
Software Mentions: 1
Published: almost 4 years ago
10.3389/fnins.2020.00406
Mixed-Precision Deep Learning Based on Computational MemoryCited by: 56
Author(s): S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Vinay Joshi, Giovanni Mariani, Irem Boybat, Geethan Karunaratne, Riduan Khaddam-Aljameh, Urs Egger, Αναστάσιος Πετρόπουλος, Theodore Antonakopoulos, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Software Mentions: 1
Published: over 4 years ago
10.3389/fnins.2019.00509
Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural NetworkCited by: 133
Author(s): Yechong Huang, Jiahang Xu, Yuncheng Zhou, Tong Tong, Xiahai Zhuang
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2020.00350
3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding BoxesCited by: 6
Author(s): Yanwu Xu, Maoguo Gong, Junxiang Chen, Ziye Chen, Kayhan Batmanghelich
Software Mentions: 1
Published: over 4 years ago
10.3389/fnins.2016.00508
Training Deep Spiking Neural Networks Using BackpropagationCited by: 613
Author(s): Jun Haeng Lee, Tobi Delbrück, Michael Pfeiffer
Software Mentions: 1
Published: about 8 years ago
10.3389/fnins.2017.00310
Pattern Recognition of Momentary Mental Workload Based on Multi-Channel Electrophysiological Data and Ensemble Convolutional Neural NetworksCited by: 30
Author(s): Jianhua Zhang, Sunan Li, Rubin Wang
Software Mentions: 1
Published: over 7 years ago
10.3389/fnins.2020.00535
Exploring the Connection Between Binary and Spiking Neural NetworksCited by: 54
Author(s): Sen Lu, Abhronil Sengupta
Software Mentions: 1
Published: over 4 years ago
10.3389/fnins.2021.598693
A Deep Learning Approach for the Photoacoustic Tomography Recovery From Undersampled MeasurementsCited by: 4
Author(s): Husnain Shahid, Adnan Khalid, Xin Liu, Muhammad Irfan, Dean Ta
Software Mentions: 1
Published: over 3 years ago
10.3389/fonc.2021.663451
Multiparametric MRI Features Predict the SYP Gene Expression in Low-Grade Glioma Patients: A Machine Learning-Based Radiomics AnalysisCited by: 9
Author(s): Xiao Zheng, Shun Yao, Zongming Wang, Danyan Zhu, Yanan Bie, Shizhong Zhang, Wenli Chen
Software Mentions: 1
Published: over 3 years ago
10.3389/fphys.2021.733139
Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial FibrillationCited by: 5
Author(s): Laila Muizniece, Adrian Bertagnoli, Ahmed Qureshi, Aya Mutaz Zeidan, Aditi Roy, Marica Muffoletto, Oleg Aslanidi
Software Mentions: 1
Published: about 3 years ago
10.3389/fpls.2020.601250
Attention-Based Recurrent Neural Network for Plant Disease ClassificationCited by: 24
Author(s): Sue Han Lee, Hervé Goëau, Pierre Bonnet, Alexis Joly
Software Mentions: 1
Published: almost 4 years ago
10.3389/fpls.2021.575751
Leaf Counting: Fusing Network Components for Improved AccuracyCited by: 12
Author(s): Guy Farjon, Yotam Itzhaky, Faina Khoroshevsky, Aharon Bar-Hillel
Software Mentions: 1
Published: over 3 years ago
10.3389/fpls.2018.01926
ADAM-Plant: A Software for Stochastic Simulations of Plant Breeding From Molecular to Phenotypic Level and From Simple Selection to Complex Speed Breeding ProgramsCited by: 24
Author(s): Huiming Liu, Biructawit Bekele Tessema, Just Jensen, Fabio Cericola, Jeppe Reitan Andersen, Anders Christian Sørensen
Software Mentions: 1
Published: almost 6 years ago
10.3389/fpls.2021.630425
TheLNet270v1 – A Novel Deep-Network Architecture for the Automatic Classification of Thermal Images for Greenhouse PlantsCited by: 3
Author(s): Md. Parvez Islam, Yuka Nakano, Unseok Lee, Keinichi Tokuda, Nobuo Kochi
Software Mentions: 1
Published: over 3 years ago
10.3389/fpsyt.2021.627996
Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 ChallengeCited by: 18
Author(s): Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith, Peng Han
Software Mentions: 1
Published: over 3 years ago
10.3389/frobt.2019.00137
Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory ClassificationCited by: 2
Author(s): Pablo Barros, Manfred Eppe, German I. Parisi, Xun Liu, Stefan Wermter
Software Mentions: 1
Published: almost 5 years ago
10.3389/frobt.2020.00034
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge ArchitecturesCited by: 5
Author(s): Johannes Günther, Nadia M. Ady, Alex Kearney, Michael R. Dawson, Patrick M. Pilarski
Software Mentions: 1
Published: over 4 years ago
10.3389/frobt.2021.537384
DeepFoG: An IMU-Based Detection of Freezing of Gait Episodes in Parkinson’s Disease Patients via Deep LearningCited by: 30
Author(s): Thomas Bikias, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, Leontios J. Hadjileontiadis
Software Mentions: 1
Published: over 3 years ago
10.3389/frobt.2020.00120
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic GraspingCited by: 17
Author(s): Timothy Patten, Kiru Park, Markus Vincze
Software Mentions: 1
Published: about 4 years ago
10.3389/frobt.2021.606770
Deep Learned Quantization-Based Codec for 3D Airborne LiDAR Point Cloud ImagesCited by: 0
Author(s): A. Christoper Tamilmathi, P. L. Chithra
Software Mentions: 1
Published: over 3 years ago
10.3389/fspor.2021.669845
Simulating Defensive Trajectories in American Football for Predicting League Average Defensive MovementsCited by: 4
Author(s): Marc Schmid, Patrick Blauberger, Martin Lames
Software Mentions: 1
Published: over 3 years ago
10.3390/genes12020190
InpactorDB: A Classified Lineage-Level Plant LTR Retrotransposon Reference Library for Free-Alignment Methods Based on Machine LearningCited by: 12
Author(s): Simón Orozco-Arias, Paula A. Jaimes, Mariana S. Candamil-Cortés, Cristian Felipe Jiménez Varón, Reinel Tabares-Soto, Gustavo Isaza, Romain Guyot
Software Mentions: 1
Published: almost 4 years ago
10.1186/s12711-015-0107-7
Most of the long-term genetic gain from optimum-contribution selection can be realised with restrictions imposed during optimisationCited by: 23
Author(s): Mark Henryon, Tage Ostersen, B. Ask, Anders Christian Sørensen, Peer Berg
Software Mentions: 1
Published: over 9 years ago
10.1186/s12711-015-0118-4
A comparison of methods to calculate a total merit index using stochastic simulationCited by: 9
Author(s): Christina Pfeiffer, Birgit Fuerst-Waltl, Hermann Schwarzenbacher, Franz Steininger, Christian Fuerst
Software Mentions: 1
Published: over 9 years ago
10.1186/s12711-018-0430-x
Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chickenCited by: 10
Author(s): Thinh Tuan Chu, Setegn Worku Alemu, E. Norberg, Anders Christian Sørensen, John Henshall, Rachel Hawken, Just Jensen
Software Mentions: 1
Published: about 6 years ago
10.1186/s12711-019-0475-5
Pedigree relationships to control inbreeding in optimum-contribution selection realise more genetic gain than genomic relationshipsCited by: 20
Author(s): Mark Henryon, Huiming Liu, Peer Berg, Guosheng Su, Henrik Skov Nielsen, Gebreyohans Tesfaye Gebregiwergis, A.C. Sørensen
Software Mentions: 1
Published: over 5 years ago
10.1186/s12711-019-0509-z
Optimized grouping to increase accuracy of prediction of breeding values based on group records in genomic selection breeding programsCited by: 2
Author(s): Thinh Tuan Chu, J.W.M. Bastiaansen, Peer Berg, Hans Komen
Software Mentions: 1
Published: about 5 years ago