( en | de | ru )

 

Disambiguation of "McGough, A. Stephen"

Author of the publication

copydeleteadd this publication to your clipboard
CAM: A Combined Attention Model for Natural Language Inference.

, , , , and . IEEE BigData, page 1009-1014. IEEE, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Stephen Novak

Stephen Robinson

Stephen Wagner

Andreas Stephen

Stephen Stürzenbaum

 

Other publications of authors with the same name

The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation., , , , , and . CoRR, (2019)Hand Guided High Resolution Feature Enhancement for Fine-Grained Atomic Action Segmentation within Complex Human Assemblies., , , and . CoRR, (2022)The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data., , , and . CoRR, (2023)Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption - A systematic review., , , , and . Eng. Appl. Artif. Intell., (2022)A systematic literature review on machine learning for electricity market agent-based models., , and . IEEE Big Data, page 4503-4512. IEEE, (2022)NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies., , , , , , and . IEEE Big Data, page 3704-3710. IEEE, (2023)Energy-Aware Simulation of Workflow Execution in High Throughput Computing Systems., and . DS-RT, page 25-32. IEEE Computer Society, (2015)Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data., , , , , and . IEEE Big Data, page 4375-4384. IEEE, (2022)ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning., , and . CoRR, (2019)Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning., , and . CoRR, (2021)