Importance of aerosol composition and mixing state for cloud droplet activation over the Arctic pack ice in summer [PDF]
Atmospheric Chemistry and Physics, 2015 Concentrations of cloud condensation nuclei (CCN) were measured throughout an expedition by icebreaker around the central Arctic Ocean, including a 3 week ice drift operation at 87° N, from 3 August to 9 September 2008.
C. Leck, E. Svensson
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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 The extensive surviving corpus of the ancient scholar Plutarch of Chaeronea (ca. 45-120 CE) also contains several texts which, according to current scholarly opinion, did not originate with him and are therefore attributed to an anonymous author Pseudo-Plutarch.
Ivan P. Yamshchikov +4 more
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BERT-of-Theseus: Compressing BERT by Progressive Module Replacing [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 EMNLP ...
Canwen Xu +4 more
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BERT-LID: Leveraging BERT to Improve Spoken Language Identification
, 2022 Language identification is the task of automatically determining the identity of a language conveyed by a spoken segment. It has a profound impact on the multilingual interoperability of an intelligent speech system.
Wei-Qiang Zhang (553877) +7 more
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A Physics-Informed Modeling of Data Center Cooling and Self-Supervised Learning-Based Autoencoder for Fault Detection and Diagnosis [PDF]
E3S Web of ConferencesEffective Fault Detection and Diagnosis (FDD) is crucial for data center energy efficiency but often struggles with labeled data scarcity. We propose the Physics-Informed Spatio-Temporal Graph (PI-STG) framework, a two-stage self-supervised approach ...
Bonyani Mahdi +2 more
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Catchment-scale dissolved carbon concentrations and export estimates across six subarctic streams in northern Sweden [PDF]
Biogeosciences, 2014 Climatic change is currently enhancing permafrost thawing and the flow of water through the landscape in subarctic and arctic catchments, with major consequences for the carbon export to aquatic ecosystems.
R. Giesler +7 more
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Multi-mode deep auto-encoder recommendation model for fusion of text information
Xi'an Gongcheng Daxue xuebao, 2021 A new recommendation model is proposed to solve the problems of data sparsity and deep semantic information learning when using score information as auxiliary recommendation.
Jinguang CHEN, Xinyi XU, Ganglong FAN
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, 2023 The fine-tuned models necessary to run BERT-PSIE for the two extraction tasks explored in the paper, namely the automatic extraction of Curie temperatures and band gaps. You can find the full paper at: https://arxiv.org/abs/2301.11689 The code necessary
Matteo Cobelli (16435785)
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VD-BERT: A Unified Vision and Dialog Transformer with BERT [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Visual dialog is a challenging vision-language task, where a dialog agent needs to answer a series of questions through reasoning on the image content and dialog history. Prior work has mostly focused on various attention mechanisms to model such intricate interactions.
Yue Wang 0034 +5 more
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Development of a Conceptual Model for Accelerated Project Prioritization after Disaster Event [PDF]
MATEC Web of Conferences, 2019 There is a need for rapid and responsive infrastructure repair and construction after natural disaster events such as hurricanes, wildfires, and tornadoes.
Martins Claudia +3 more
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