Tim Isbister
Tim Isbister
Machine Learning Engineer
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Cited by
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Learning representations for detecting abusive language
M Sahlgren, T Isbister, F Olsson
Proceedings of the 2nd Workshop on Abusive Language Online (ALW2), 115-123, 2018
Automatic extraction of personality from text: Challenges and opportunities
N Akrami, J Fernquist, T Isbister, L Kaati, B Pelzer
2019 IEEE international conference on big data (big data), 3156-3164, 2019
Monitoring targeted hate in online environments
T Isbister, M Sahlgren, L Kaati, M Obaidi, N Akrami
arXiv preprint arXiv:1803.04757, 2018
Gender classification with data independent features in multiple languages
T Isbister, L Kaati, K Cohen
2017 European Intelligence and Security Informatics Conference (EISIC), 54-60, 2017
Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?
T Isbister, F Carlsson, M Sahlgren
arXiv preprint arXiv:2104.10441, 2021
Anomaly detection on social media using ARIMA models
T Isbister
Cross-lingual transfer of monolingual models
E Gogoulou, A Ekgren, T Isbister, M Sahlgren
arXiv preprint arXiv:2109.07348, 2021
Why not simply translate? a first Swedish evaluation benchmark for semantic similarity
T Isbister, M Sahlgren
arXiv preprint arXiv:2009.03116, 2020
Linguistic markers of a radicalized mind-set among extreme adopters
K Cohen, T Isbister, L Kaati, A Shrestha
WSDM 2017, 1st International Workshop on Cyber Deviance Detection, 823-824, 2017
Dick-Preston and Morbo at SemEval-2019 Task 4: Transfer Learning for Hyperpartisan News Detection
T Isbister, F Johansson
Proceedings of the 13th International Workshop on Semantic Evaluation, 939-943, 2019
FOI Cross-Domain Authorship Attribution for Criminal Investigations.
F Johansson, T Isbister
CLEF (Working Notes), 2019
Computer support to analyze IS propaganda
L Kaati, M Sahlgren, T Isbister, B Toghiani-Rizi, K Cohen
Predicting Linguistic Patterns Using ARIMA Models
T Isbister, L Kaati
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