Deep learning, deep change? Mapping the evolution and geography of a general purpose technology

J Klinger, J Mateos-Garcia, K Stathoulopoulos - Scientometrics, 2021 - Springer
… that Deep Learning conforms to the definition of a general purpose technology, we study
changes in its … We test the presence of those complementarities in the remainder of the paper. …

Deep learning, deep change? Mapping the development of the Artificial Intelligence General Purpose Technology

J Klinger, J Mateos-Garcia… - arXiv preprint arXiv …, 2018 - arxiv.org
… In Section 3.5, we study the link between DL specialization in a region and the presence of
related research and industrial activities. We proxy research relevance using the relatedness …

Unsupervised multiple-change detection in VHR multisensor images via deep-learning based adaptation

S Saha, F Bovolo, L Bruzzone - IGARSS 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
… In the context of multitemporal analysis, even if a co-registration is performed, availability of
paired patches cannot be ensured due to presence of changes. Cycle-consistency constraint …

[HTML][HTML] Automatic analysis of cognitive presence in online discussions: An approach using deep learning and explainable artificial intelligence

Y Hu, RF Mello, D Gašević - Computers and Education: Artificial …, 2021 - Elsevier
… This paper proposes the adoption of a deep learning method to … presence, a fundamental
construct from the widely used Community of Inquiry (CoI) framework of online learning. We …

[HTML][HTML] Change point detection in terrorism-related online content using deep learning derived indicators

O Theodosiadou, K Pantelidou, N Bastas, D Chatzakou… - Information, 2021 - mdpi.com
… the presence of hate speech. This is achieved building upon well-established deep learning
To this end, in this work, commonly used deep learning methods are considered to develop …

A novel change detection framework based on deep learning for the analysis of multi-temporal polarimetric SAR images

S De, D Pirrone, F Bovolo, L Bruzzone… - … and Remote Sensing …, 2017 - ieeexplore.ieee.org
… In this paper, a novel Deep Learning based weakly-supervised framework for urban change
… The presence of vegetation intermixed with buildings in the UU areas makes it more difficult …

Unsupervised hyperspectral image change detection via deep learning self-generated credible labels

Q Li, H Gong, H Dai, C Li, Z He, W Wang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
… into change class and no-change class. This section discusses model-driven CD methods
and deep learning … Meola, and RC Hardie, “Hyperspectral change detection in the presence of …

Searching for changing-state agns in massive data sets. i. applying deep learning and anomaly-detection techniques to find agns with anomalous variability behaviors

P Sánchez-Sáez, H Lira, L Martí… - The Astronomical …, 2021 - iopscience.iop.org
… by the discovery of the so-called changing-state (changing-look) AGNs. The physical …
that are able to detect AGNs right in the act of changing state. Here we present an anomaly-…

[HTML][HTML] Individualized glaucoma change detection using deep learning auto encoder-based regions of interest

C Bowd, A Belghith, M Christopher… - … vision science & …, 2021 - iovs.arvojournals.org
… : The detection and monitoring of structural glaucomatous progression can be improved
by considering eye-specific regions of likely progression identified using deep learning. …

Monitoring significant ST changes through deep learning

R Xiao, Y Xu, MM Pelter, R Fidler, F Badilini… - Journal of …, 2018 - Elsevier
… It has been found that true transient myocardial ischemia events typically have presence in
… Lastly, one common hurdle of adopting deep learning in biomedical research is the lack of …