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ORCIDMoseli Mots'oehli
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2020 – today
- 2024
[c1]Moseli Mots'oehli, Anton Nikolaev, Wawan B. IGede, John Lynham, Peter J. Mous, Peter Sadowski:
FishNet: Deep Neural Networks for Low-Cost Fish Stock Estimation. COINS 2024: 1-7- [i6]Moseli Mots'oehli, Anton Nikolaev, Wawan B. IGede, John Lynham, Peter J. Mous, Peter Sadowski:
FishNet: Deep Neural Networks for Low-Cost Fish Stock Estimation. CoRR abs/2403.10916 (2024) - [i5]Moseli Mots'oehli:
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review. CoRR abs/2407.00252 (2024) - 2023
- [i4]Moseli Mots'oehli:
Deep Active Learning in the Presence of Label Noise: A Survey. CoRR abs/2302.11075 (2023) - [i3]Vukosi Marivate, Moseli Mots'oehli, Valencia Wagner, Richard Lastrucci, Isheanesu Dzingirai:
PuoBERTa: Training and evaluation of a curated language model for Setswana. CoRR abs/2310.09141 (2023) - 2022
- [i2]Moseli Mots'oehli, Yao Chao Yang:
Public Parking Spot Detection And Geo-localization Using Transfer Learning. CoRR abs/2209.00213 (2022) - [i1]Moseli Mots'oehli, Anna Sergeevna Bosman, Johan Pieter de Villiers:
Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models. CoRR abs/2211.00731 (2022)
Coauthor Index
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