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Publication search results
found 130 matches
- 2021
- Reza Abbasi-Asl, Bin Yu:
Structural Compression of Convolutional Neural Networks with Applications in Interpretability. Frontiers Big Data 4: 704182 (2021) - Vibhatha Abeykoon, Supun Kamburugamuve, Chathura Widanage, Niranda Perera, Ahmet Uyar, Thejaka Amila Kanewala, Gregor von Laszewski, Geoffrey C. Fox:
HPTMT Parallel Operators for High Performance Data Science and Data Engineering. Frontiers Big Data 4: 756041 (2021) - Andrei Afonin, Michael Chertkov:
Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems? Frontiers Big Data 4: 692493 (2021) - Qasem Abu Al-Haija:
Top-Down Machine Learning-Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks. Frontiers Big Data 4: 782902 (2021) - Maksudul Alam, Kalyan S. Perumalla:
Fast GPU-Based Generation of Large Graph Networks From Degree Distributions. Frontiers Big Data 4: 737963 (2021) - Toon Albers, Elena Lazovik, Mostafa Hadadian Nejad Yousefi, Alexander Lazovik:
Adaptive On-the-Fly Changes in Distributed Processing Pipelines. Frontiers Big Data 4: 666174 (2021) - Shahad Althobaiti, Saud Alghumayjan, Morgan R. Frank, Esteban Moro, Ahmad Alabdulkareem, Alex Pentland:
Housing Prices and the Skills Composition of Neighborhoods. Frontiers Big Data 4: 652153 (2021) - Ulzee An, Ankit Bhardwaj, Khader Shameer, Lakshminarayanan Subramanian:
High Precision Mammography Lesion Identification From Imprecise Medical Annotations. Frontiers Big Data 4: 742779 (2021) - Jennifer R. Andersson, Jose Alonso Moya, Ulrich Schwickerath:
Anomaly Detection for the Centralised Elasticsearch Service at CERN. Frontiers Big Data 4: 718879 (2021) - Rushil Anirudh, Jayaraman J. Thiagarajan, Rahul Sridhar, Peer-Timo Bremer:
MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis. Frontiers Big Data 4: 589417 (2021) - Damiano Archetti, Alexandra L. Young, Neil P. Oxtoby, Daniel Ferreira, Gustav Mårtensson, Eric Westman, Daniel C. Alexander, Giovanni B. Frisoni, Alberto Redolfi:
Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease. Frontiers Big Data 4: 661110 (2021) - Pouyan Hatami Bahman Beiglou, Lifeng Luo, Pang-Ning Tan, Lisi Pei:
Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators. Frontiers Big Data 4: 750536 (2021) - Vaishak Belle, Ioannis Papantonis:
Principles and Practice of Explainable Machine Learning. Frontiers Big Data 4: 688969 (2021) - David Benrimoh, Sonia Israel, Robert Fratila, Caitrin Armstrong, Kelly Perlman, Ariel Rosenfeld, Adam Kapelner:
Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare. Frontiers Big Data 4: 727856 (2021) - Vibhushinie Bentotahewa, Chaminda Hewage, Jason Williams:
Solutions to Big Data Privacy and Security Challenges Associated With COVID-19 Surveillance Systems. Frontiers Big Data 4: 645204 (2021) - Frédéric Bertrand, Myriam Maumy-Bertrand:
Fitting and Cross-Validating Cox Models to Censored Big Data With Missing Values Using Extensions of Partial Least Squares Regression Models. Frontiers Big Data 4: 684794 (2021) - Cristian Bodnar, Catalina Cangea, Pietro Liò:
Deep Graph Mapper: Seeing Graphs Through the Neural Lens. Frontiers Big Data 4: 680535 (2021) - Franziska Boenisch:
A Systematic Review on Model Watermarking for Neural Networks. Frontiers Big Data 4: 729663 (2021) - Alexandros Bousdekis, Gregoris Mentzas:
Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0. Frontiers Big Data 4: 644651 (2021) - Reiner Braun, Rushikesh Padsala, Tahereh Malmir, Soufia Mohammadi, Ursula Eicker:
Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation - A Case Study for the City of Montréal. Frontiers Big Data 4: 662011 (2021) - Jon Haël Brenas, Arash Shaban-Nejad:
Proving the Correctness of Knowledge Graph Update: A Scenario From Surveillance of Adverse Childhood Experiences. Frontiers Big Data 4: 660101 (2021) - Colin Brust, John S. Kimball, Marco P. Maneta, Kelsey Jencso, Rolf Reichle:
DroughtCast: A Machine Learning Forecast of the United States Drought Monitor. Frontiers Big Data 4: 773478 (2021) - Maria Luiza Machado Campos, Eugênio Silva, Renato Cerceau, Sérgio Manuel Serra da Cruz, Fabrício Alves Barbosa da Silva, Fábio Castro Gouveia, Rodrigo Jardim, Nelson Kotowski, Giseli Rabello Lopes, Alberto M. R. Dávila:
Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data. Frontiers Big Data 4: 656553 (2021) - Enrico Capobianco, Jun Deng:
Editorial: Big Data Analytics for Precision Health and Prevention. Frontiers Big Data 4: 835353 (2021) - Sean C. Carter, Charles B. van Rees, Brian K. Hand, Clint C. Muhlfeld, Gordon Luikart, John S. Kimball:
Testing a Generalizable Machine Learning Workflow for Aquatic Invasive Species on Rainbow Trout (Oncorhynchus mykiss) in Northwest Montana. Frontiers Big Data 4: 734990 (2021) - Jinxiang Chen, Fuyi Li, Miao Wang, Junlong Li, Tatiana T. Marquez-Lago, André Leier, Jerico Revote, Shuqin Li, Quanzhong Liu, Jiangning Song:
BigFiRSt: A Software Program Using Big Data Technique for Mining Simple Sequence Repeats From Large-Scale Sequencing Data. Frontiers Big Data 4 (2021) - Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao:
Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data 4: 608286 (2021) - Alton M. K. Chew, Dinesh Visva Gunasekeran:
Social Media Big Data: The Good, The Bad, and the Ugly (Un)truths. Frontiers Big Data 4: 623794 (2021) - Gianfranco Chicco:
Data Consistency for Data-Driven Smart Energy Assessment. Frontiers Big Data 4: 683682 (2021) - Daniele D'Agostino, Daniele Cesini:
Editorial: Heterogeneous Computing for AI and Big Data in High Energy Physics. Frontiers Big Data 4: 652881 (2021)
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