Bruce A. Bassett

According to our database, Bruce A. Bassett authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning.

Everlyn Chimoto, Jay Gala, Orevaoghene Ahia, Julia Kreutzer, Bruce A. Bassett, Sara Hooker

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

A flexible framework for anomaly Detection via dimensionality reduction.

Alireza Vafaei Sadr, Bruce A. Bassett, Martin Kunz

Neural Comput. Appl., 2023

Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili.

Christiaan Jacobs, Nathanaël Carraz Rakotonirina, Everlyn Asiko Chimoto, Bruce A. Bassett, Herman Kamper

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Learning to Detect Interesting Anomalies.

Alireza Vafaei Sadr, Bruce A. Bassett, Emmanuel Sekyi

CoRR, 2022

Very Low Resource Sentence Alignment: Luhya and Swahili.

Everlyn Chimoto, Bruce A. Bassett

Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages, 2022

COMET-QE and Active Learning for Low-Resource Machine Translation.

Everlyn Chimoto, Bruce A. Bassett

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Low-Resource Neural Machine Translation for Southern African Languages.

Evander Nyoni, Bruce A. Bassett

Proceedings of the 2nd AfricaNLP Workshop Proceedings, AfricaNLP@EACL 2021, Virtual Event, 2021

Astronomaly: Personalised active anomaly detection in astronomical data.

Michelle Lochner, Bruce A. Bassett

Astron. Comput., 2021

2020

Bayesian anomaly detection and classification for noisy data.

Ethan Roberts, Bruce A. Bassett, Michelle Lochner

Int. J. Hybrid Intell. Syst., 2020

Deep Evolution for Facial Emotion Recognition.

Emmanuel Dufourq, Bruce A. Bassett

CoRR, 2020

Evolutionary Facial Expression Recognition.

Emmanuel Dufourq, Bruce A. Bassett

Proceedings of the SAICSIT '20: Conference of the South African Institute of Computer Scientists and Information Technologists 2020, 2020

2019

Bayesian Anomaly Detection and Classification.

Ethan Roberts, Bruce A. Bassett, Michelle Lochner

CoRR, 2019

A Generative Machine Learning Approach to RFI Mitigation for Radio Astronomy.

Etienne E. Vos, Francois P. S. Luus, Chris J. Finlay, Bruce A. Bassett

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018

DeepSource: Point Source Detection using Deep Learning.

Alireza Vafaei Sadr, Etienne E. Vos, Bruce A. Bassett, Zafiirah Hosenie, N. Oozeer, Michelle Lochner

CoRR, 2018

2017

EDEN: Evolutionary Deep Networks for Efficient Machine Learning.

Emmanuel Dufourq, Bruce A. Bassett

CoRR, 2017

Text Compression for Sentiment Analysis via Evolutionary Algorithms.

Emmanuel Dufourq, Bruce A. Bassett

CoRR, 2017

Automated problem identification: regression vs classification via evolutionary deep networks.

Emmanuel Dufourq, Bruce A. Bassett

Proceedings of the South African Institute of Computer Scientists and Information Technologists, 2017

Automated classification of text sentiment.

Emmanuel Dufourq, Bruce A. Bassett

Proceedings of the South African Institute of Computer Scientists and Information Technologists, 2017