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Scopus Author ID: 55859916800

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Employment (2)

Birmingham City University: Birmingham, GB

Employment
Source: Self-asserted source
Mariam Adedoyin-Olowe

Birmingham City University: N/A, GB

Employment
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Birmingham City University: Pure to ORCID Integration

Education and qualifications (2)

Robert Gordon University: Aberdeen, GB

2015-05-07 to present | PhD (School of Computing)
Qualification
Source: Self-asserted source
Mariam Adedoyin-Olowe

Birmingham City University: Birmingham, GB

2017-09-25 to 2019-01-29 | PGCert (School of Computing )
Qualification
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Mariam Adedoyin-Olowe

Professional activities (1)

University of Reading: Reading, GB

2019-04-18 to 2019-04-18 | PhD Thesis External Examiner (Department of Computer Science)
Invited position
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Mariam Adedoyin-Olowe

Works (17)

WhatsUp: An event resolution approach for co-occurring events in social media

Information Sciences
2023-05 | Journal article
DOI: 10.1016/j.ins.2023.01.001
Part of ISSN: 0020-0255
Contributors: Hansi Hettiarachchi; Mariam Adedoyin-Olowe; Jagdev Bhogal; Mohamed Medhat Gaber
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TTL: transformer-based two-phase transfer learning for cross-lingual news event detection

International Journal of Machine Learning and Cybernetics
2023-03-08 | Journal article
DOI: 10.1007/s13042-023-01795-9
Part of ISSN: 1868-808X
Contributors: Hansi Hettiarachchi; Mariam Adedoyin-Olowe; Jagdev Bhogal; Mohamed Medhat Gaber
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Data Augmentation and Deep Learning Methods in Sound Classification: A Systematic Review

Electronics
2022-11-18 | Journal article
DOI: 10.3390/electronics11223795
Part of ISSN: 2079-9292
Contributors: Olusola Abayomi-Alli; Robertas Damaševičius; Atika Qazi; Mariam Adedoyin-Olowe; Sanjay Misra
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TED-S: Twitter Event Data in Sports and Politics with Aggregated Sentiments

Data
2022-06-30 | Journal article
DOI: 10.3390/data7070090
Part of ISSN: 2306-5729
Contributors: Hansi Hettiarachchi; Doaa Al-Turkey; Mariam Adedoyin-Olowe; Jagdev Bhogal; Mohamed Medhat Gaber
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DAAI at CASE 2021 Task 1

4th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, CASE 2021 - Proceedings
2021 | Conference paper | Author
SOURCE-WORK-ID:

9c6c4b93-e5d9-4b6d-9522-5814da8c82a2

EID:

2-s2.0-85114011134

Part of ISBN: 9781954085794
Contributors: Hansi Hettiarachchi; Mariam Adedoyin-Olowe; Jagdev Bhogal; Mohamed Gaber
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Birmingham City University: Pure to ORCID Integration

DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection

Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021)
2021 | Conference paper
DOI: 10.18653/v1/2021.case-1.16
Contributors: Hansi Hettiarachchi; Mariam Adedoyin-Olowe; Jagdev Bhogal; Mohamed Medhat Gaber
Source: Self-asserted source
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Embed2Detect

2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021
2021 | Conference paper | Author
DOI: 10.1109/DSAA53316.2021.9564110
SOURCE-WORK-ID:

f3b05ca3-294c-41fa-8dfd-b4732abcef3f

EID:

2-s2.0-85126140601

Part of ISBN: 9781665420990
Contributors: Hansi Hettiarachchi; Mariam Adedoyin-Olowe; Jagdev Bhogal; Mohamed Gaber
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Birmingham City University: Pure to ORCID Integration

Embed2Detect: temporally clustered embedded words for event detection in social media

Machine Learning
2021-05-24 | Journal article
DOI: 10.1007/s10994-021-05988-7
Part of ISSN: 1573-0565
Contributors: Hansi Hettiarachchi; Mariam Adedoyin-Olowe; Jagdev Bhogal; Mohamed Medhat Gaber
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Transfer learning approach for detecting psychological distress in brexit tweets

Proceedings of the 36th Annual ACM Symposium on Applied Computing
2021-03-22 | Conference paper
DOI: 10.1145/3412841.3441972
Contributors: Sean-Kelly Palicki; Shereen Fouad; Mariam Adedoyin-Olowe; Zahraa S. Abdallah
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A rule dynamics approach to event detection in Twitter with its application to sports and politics

Expert Systems with Applications
2016-08 | Journal article
DOI: 10.1016/j.eswa.2016.02.028
Part of ISSN: 0957-4174
Contributors: Mariam Adedoyin-Olowe; Mohamed Medhat Gaber; Carlos M. Dancausa; Frederic Stahl; João Bártolo Gomes
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Autonomic Discovery of News Evolvement in Twitter

Studies in Big Data
2015 | Book chapter
DOI: 10.1007/978-3-319-11056-1_7
Part of ISBN: 9783319110561
Part of ISSN: 2197-6511
Contributors: Mariam Adedoyin-Olowe; Mohamed Medhat Gaber; Frederic Stahl; João Bártolo Gomes
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A Survey of Data Mining Techniques for Social Network Analysis

Journal of Data Mining and Digital Humanities
2014 | Journal article | Author
SOURCE-WORK-ID:

0a8996fd-d979-47d7-a41b-ac58690b4541
Contributors: Frederic Stahl; Mohamed Gaber; Mariam Adedoyin-Olowe
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Birmingham City University: Pure to ORCID Integration

Extraction of unexpected rules from Twitter hashtags and its application to sports events

Proceedings of 13th International Conference on Machine Learning and Applications
2014 | Book chapter | Author
SOURCE-WORK-ID:

d2c920b2-a1bd-4426-a62a-49ef5d7745bc
Contributors: Mariam Adedoyin-Olowe; Mohamed Gaber; Carlos Dancausa; Frederic Stahl
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Birmingham City University: Pure to ORCID Integration

Extraction of Unexpected Rules from Twitter Hashtags and its Application to Sport Events

2014 13th International Conference on Machine Learning and Applications
2014-12 | Conference paper
DOI: 10.1109/icmla.2014.38
Contributors: Mariam Adedoyin-Olowe; Mohamed Medhat Gaber; Carlos Martin Dancausa; Frederic Stahl
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A Survey of Data Mining Techniques for Social Media Analysis

Journal of Data Mining & Digital Humanities
2014-06-24 | Journal article
DOI: 10.46298/jdmdh.5
Part of ISSN: 2416-5999
Contributors: Mariam Adedoyin-Olowe; Mohamed Medhat Gaber; Frederic Stahl
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Rule Type Identification Using TRCM for Trend Analysis in Twitter

Research and Development in Intelligent Systems XXX
2013 | Book chapter
DOI: 10.1007/978-3-319-02621-3_20
Part of ISBN: 9783319026213
Contributors: João Bártolo Gomes; Mariam Adedoyin-Olowe; Mohamed Medhat Gaber; Frederic Stahl
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TRCM: A Methodology for Temporal Analysis of Evolving Concepts in Twitter

Artificial Intelligence and Soft Computing
2013 | Book chapter
DOI: 10.1007/978-3-642-38610-7_13
Part of ISBN: 9783642386107
Part of ISSN: 1611-3349
Contributors: Mariam Adedoyin-Olowe; Mohamed Medhat Gaber; Frederic Stahl
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