Titlebook: Artificial Intelligence Research; Third Southern Afric Anban Pillay,Edgar Jembere,Aurona Gerber Conference proceedings 2022 The Editor(s) (

變色龍

The Ideal Type in Weber and Schutzl justifications are computed based on materialised formulas (classical counterparts of defeasible formulas). The resulting classical justifications are converted to defeasible justifications, based on the input knowledge base. We provide an initial evaluation of the framework and the software tool by testing it with a representative example.

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Explorative und Deskriptive Statistikelf-supervised architecture (WavLM). We experiment with a code-switched corpus consisting of five South African languages (isiZulu, isiXhosa, Setswana, Sesotho and English) and show substantial diarization error rate improvements for language families, language groups, and individual languages over baseline systems.

Asseverate

Painstaking

Content-Based Medical Image Retrieval Using a?Class Similarity-Aware Cross-Entropy Lossn the database is evaluated by computing the Euclidean distance between the HOG feature vectors. The proposed method achieved an error score of 123.02 on the IRMA dataset, which represents an improvement of 7.12% over the state-of-the-art result.

GRAIN

ST-GNNs for?Weather Prediction in?South Africarent prediction horizons with an average SMAPE score of 8.30%. We also analyse and compare learnt adjacency matrices of the two ST-GNNs to gain insights into the prominent spatial-temporal dependencies between weather stations.

評(píng)論者

oncologist

有發(fā)明天才

Fine-Tuned Self-supervised Speech Representations for?Language Diarization in?Multilingual Code-Switelf-supervised architecture (WavLM). We experiment with a code-switched corpus consisting of five South African languages (isiZulu, isiXhosa, Setswana, Sesotho and English) and show substantial diarization error rate improvements for language families, language groups, and individual languages over baseline systems.

occult

Hyaluronic-Acid

Adversarial Training for?Channel State Information Estimation in?LTE Multi-antenna Systemsof such networks without increasing their complexity, since the wireless environment requires solutions with high performance while constraining implementation cost. For this reason, we investigate the use of adversarial training, which has been successfully applied to image super-resolution tasks t