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Pattern Recognition Letters
Scopus
ISSN 0167-8655 · Elsevier BV · 11 artikel di indeks
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Artikel Jurnal
Small-object detection based on YOLOv5 in autonomous driving systems
With the rapid advancements in the field of autonomous driving, the need for faster and more accurate object detection frameworks has become a necessity. Many recent deep learning-based object detectors have shown compelling performance for the detection of large objects in a variety of real-time…
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SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture
Weather forecasting is dominated by numerical weather prediction that tries to model accurately the physical properties of the atmosphere. A downside of numerical weather prediction is that it is lacking the ability for short-term forecasts using the latest available information. By using a…
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Leveraging recent advances in deep learning for audio-Visual emotion recognition
Emotional expressions are the behaviors that communicate our emotional state or attitude to others. They are expressed through verbal and non-verbal communication. Complex human behavior can be understood by studying physical features from multiple modalities; mainly facial, vocal and physical…
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Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost
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Rank consistent ordinal regression for neural networks with application to age estimation
In many real-world prediction tasks, class labels include information about the relative ordering between labels, which is not captured by commonly-used loss functions such as multi-category cross-entropy. Recently, the deep learning community adopted ordinal regression frameworks to take such…
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Machine Learning for Cultural Heritage: A Survey
The application of Machine Learning (ML) to Cultural Heritage (CH) has evolved since basic statistical approaches such as Linear Regression to complex Deep Learning models. The question remains how much of this actively improves on the underlying algorithm versus using it within a ‘black box’…
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Deep k-Means: Jointly clustering with k-Means and learning representations
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COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images