Clifford Broni-Bediako

Clifford Broni-Bediako
RIKEN | RIKEN AICS · AIP - Geoinformatics Unit

About

9
Publications
1,857
Reads
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24
Citations

Publications

Publications (9)
Conference Paper
Full-text available
Discovering customer sentiment towards topics is an important task in sentiment analysis. Currently, most studies focus on using customers' reviews to understand user sentiments at the topic sentiment level. In this study, we develop a framework with a topic modelling technique and neural network to predict the topic sentiment polarity of customers...
Conference Paper
Full-text available
Recently, the vision transformer (ViT) achieved remarkable results on computer vision related tasks. However, ViT lacks the inductive biases present on CNNs, such as locality and translation equivariance. Overcoming this deficiency usually comes at high cost, with networks with hundreds of millions of parameters, trained over extensive training rou...
Article
Full-text available
Recently, neural architecture search (NAS) has gained a lot of attention as a tool for constructing deep neural networks automatically. NAS methods have successfully found convolutional neural networks (CNNs) that exceed human expert-designed networks on image classification in computer vision. However, there are growing demands for semantic segmen...
Article
Convolutional neural network (CNN) models for remote sensing (RS) scene classification are largely built on pretrained networks that are trained on the general-purpose ImageNet dataset in computer vision. The pretrained networks can easily be adapted for transfer learning in RS scene classification. However, the accuracy of transfer learning may de...
Conference Paper
Full-text available
The renaissance of neural architecture search (NAS) has seen classical methods such as genetic algorithms (GA) and genetic programming (GP) being exploited for convolutional neural network (CNN) architectures. While recent work have achieved promising performance on visual perception tasks, the direct encoding scheme of both GA and GP has functiona...
Preprint
The renaissance of neural architecture search (NAS) has seen classical methods such as genetic algorithms (GA) and genetic programming (GP) being exploited for convolutional neural network (CNN) architectures. While recent work have achieved promising performance on visual perception tasks, the direct encoding scheme of both GA and GP has functiona...
Article
Full-text available
Arguably, El Niño-Southern Oscillation (ENSO) is the most influential climatological phenomenon that has been intensively researched during the past years. Currently, the scientific community knows much about the underlying processes of ENSO phenomenon, however, its predictability for longer horizons, which is very important for human society and t...
Conference Paper
Full-text available
Arguably, El Niño-Southern Oscillation (ENSO) is the most influential climatological phenomenon that has been intensively researched during the past years. Currently, the scientific community knows much about the underlying processes of ENSO phenomenon, however, its predictability for longer horizons, which is very important for human society and t...

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