Picture of small jelly fish in ocean

Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

Browse by Author or creator

Group by: Publication Date | Item type | No Grouping
Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016
Number of items: 59.

2024

Todd, Andrew and Bowden, James and Moshfeghi, Yashar (2024) Text-based sentiment analysis in finance : synthesising the existing literature and exploring future directions. Intelligent Systems in Accounting, Finance and Management, 31 (1). e1549. ISSN 1055-615X

Kingphai, Kunjira and Moshfeghi, Yashar; Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos M. and Umeton, Renato, eds. (2024) On channel selection for EEG-based mental workload classification. In: Machine Learning, Optimization, and Data Science. Lecture Notes in Computer Science . Springer-Verlag, GBR, pp. 403-417. ISBN 9783031539664

McGuire, Niall and Moshfeghi, Yashar; Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos M. and Umeton, Renato, eds. (2024) On ensemble learning for mental workload classification. In: Machine Learning, Optimization, and Data Science. Lecture Notes in Computer Science . Springer-Verlag, GBR, pp. 358-372. ISBN 9783031539664

McGuire, Niall and Moshfeghi, Yashar; Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos M. and Umeton, Renato, eds. (2024) What song am I thinking of? In: Machine Learning, Optimization, and Data Science. Lecture Notes in Computer Science . Springer-Verlag, GBR, pp. 418-432. ISBN 9783031539664

Zhang, Jiaxin and Jiang, Yinghui and Moshfeghi, Yashar (2024) Gaps : geometry-aware problem solver. Other. arXiv, Ithaca, NY.

Michalkova, Dominika and Parra Rodriguez, Mario and Moshfeghi, Yashar (2024) Understanding feeling-of-knowing in information search : an EEG study. ACM Transactions on Information Systems, 42 (3). 79. ISSN 1046-8188

2023

Al-Anqoudi, Maha and Ada, Mireilla Bikanga and McQuistin, Stephen and Ntarmos, Nikos and Parkinson, Jack and Moshfeghi, Yashar; (2023) Traditional vs non-traditional assessment activities as learning indicators of student learning : teachers' perceptions. In: 2023 IEEE Learning with MOOCs (LWMOOCS) Proceedings. Institute of Electrical and Electronics Engineers Inc., USA. ISBN 9798350315592

Pinkosova, Zuzana and McGeown, William J. and Moshfeghi, Yashar (2023) Moderating effects of self-perceived knowledge in a relevance assessment task : an EEG study. Computers in Human Behavior Reports, 11. 100295. ISSN 2451-9588

Meggetto, Francesco and Moshfeghi, Yashar; (2023) Podify : a podcast streaming platform with automatic logging of user behaviour for academic research. In: SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, TWN, pp. 3215-3219. ISBN 9781450394086

Meggetto, Francesco and Revie, Crawford and Levine, John and Moshfeghi, Yashar; (2023) Why people skip music? On predicting music skips using deep reinforcement learning. In: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval. ACM, USA, pp. 95-106. ISBN 9798400700354

Michalkova, Dominika and Parra Rodriguez, Mario and Moshfeghi, Yashar; Nicosia, Giuseppe and Giuffrida, Giovanni and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos and Di Fatta, Giuseppe and Umeton, Renato, eds. (2023) Confidence as part of searcher's cognitive context. In: Machine Learning, Optimization, and Data Science - 8th International Conference, LOD 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13811 . Springer Science and Business Media Deutschland GmbH, ITA, pp. 510-524. ISBN 9783031258916

Paisalnan, Sakrapee and Pollick, Frank and Moshfeghi, Yashar; Nicosia, Giuseppe and Giuffrida, Giovanni and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos and Di Fatta, Giuseppe and Umeton, Renato, eds. (2023) Neural correlates of satisfaction of an information need. In: Machine Learning, Optimization, and Data Science - 8th International Conference, LOD 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer Science and Business Media Deutschland GmbH, ITA, pp. 443-457. ISBN 9783031258909

Kingphai, Kunjira and Moshfeghi, Yashar; Nicosia, Giuseppe and Giuffrida, Giovanni and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos and Di Fatta, Giuseppe and Umeton, Renato, eds. (2023) On time series cross-validation for deep learning classification model of mental workload levels based on EEG signals. In: Machine Learning, Optimization, and Data Science - 8th International Conference, LOD 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13811 . Springer Science and Business Media Deutschland GmbH, ITA, pp. 402-416. ISBN 9783031258916

Pinkosova, Zuzana and McGeown, William J. and Moshfeghi, Yashar; Nicosia, Giuseppe and Giuffrida, Giovanni and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos and Di Fatta, Giuseppe and Umeton, Renato, eds. (2023) Revisiting neurological aspects of relevance : an EEG study. In: Machine Learning, Optimization, and Data Science - 8th International Conference, LOD 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13811 . Springer Science and Business Media Deutschland GmbH, ITA, pp. 549-563. ISBN 9783031258916

Lamprou, Zenon and Pollick, Frank and Moshfeghi, Yashar; Nicosia, Giuseppe and Giuffrida, Giovanni and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos and Di Fatta, Giuseppe and Umeton, Renato, eds. (2023) Role of punctuation in semantic mapping between brain and transformer models. In: Machine Learning, Optimization, and Data Science - 8th International Conference, LOD 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer Science and Business Media Deutschland GmbH, ITA, pp. 458-472. ISBN 9783031258916

Paun, Iulia and Moshfeghi, Yashar and Ntarmos, Nikos (2023) White box : on the prediction of collaborative filtering recommendation systems' performance. ACM Transactions on Internet Technology, 23 (1). pp. 1-29. 3554979. ISSN 1533-5399

Belabbes, Mohamed Amine and Ruthven, Ian and Moshfeghi, Yashar and Pennington, Diane (2023) Information overload : a concept analysis. Journal of Documentation, 79 (1). pp. 144-159. ISSN 0022-0418

Meggetto, Francesco and Revie, Crawford and Levine, John and Moshfeghi, Yashar (2023) Why people skip music? : On predicting music skips using deep reinforcement learning. Other. arXiv, New York, NY.

Meggetto, Francesco and Revie, Crawford and Levine, John and Moshfeghi, Yashar (2023) Why people skip music? On predicting music skips using deep reinforcement learning. Other. arXiv, Ithaca, New York.

2022

Zhang, Jiaxin and Moshfeghi, Yashar; (2022) ELASTIC : numerical reasoning with adaptive symbolic compiler. In: Advances in Neural Information Processing Systems 35. Curran Associates, Inc., USA. ISBN 9781713873129

Zhang, Jiaxin and Moshfeghi, Yashar (2022) ELASTIC : numerical reasoning with adaptive symbolic compiler. Other. arXiv.org, Ithaca, NY.

Paisalnan, Sakrapee and Moshfeghi, Yashar and Pollick, Frank E. (2022) Neural correlates of satisfaction of an information need. In: Advanced Online & Onsite Course & Symposium on Artificial Intelligence & Neuroscience, 2022-09-18 - 2022-09-22.

Michalkova, Dominika and Parra Rodriguez, Mario and Moshfeghi, Yashar; (2022) Drivers of information needs : a behavioural study – exploring searcher's feeling-of-knowing. In: ICTIR '22. ACM, New York, NY, pp. 171-181. ISBN 9781450394123

Moshfeghi, Yashar and Huertas-Rosero, Alvaro Francisco (2022) A game theory approach for estimating reliability of crowdsourced relevance assessments. ACM Transactions on Information Systems, 40 (3). pp. 1-29. 60. ISSN 1046-8188

Michalkova, Dominika and Parra-Rodriguez, Mario and Moshfeghi, Yashar; (2022) Information Need Awareness : an EEG study. In: SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval . ACM, New York, 610–621. ISBN 9781450387323

Michalkova, Dominika and Parra Rodriguez, Mario and Moshfeghi, Yashar (2022) Drivers of information needs : a behavioural study. In: The 8th ACM SIGIR International Conference on the Theory of Information Retrieval, 2022-07-11 - 2022-07-12.

Elhanashi, Abdussalam and Lowe, Duncan and Saponara, Sergio and Moshfeghi, Yashar; Kehtarnavaz, Nasser and Carlsohn, Matthias F., eds. (2022) Deep learning techniques to identify and classify Covid-19 abnormalities on chest X-ray images. In: Real-Time Image Processing and Deep Learning 2022. Proceedings of SPIE - The International Society for Optical Engineering . SPIE, Virtual, Online. ISBN 9781510650800

McArthur, Mark and Moshfeghi, Yashar and Cashmore, Michael (2022) EgoPlan : A framework for multi-agent planning using single agent planners. Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS, 35. 130647. ISSN 2334-0762

Mackie, Stuart and Azzopardi, Leif and Moshfeghi, Yashar; (2022) An initial analysis of E-procurement search behaviour. In: Information for a Better World. Lecture Notes in Computer Science . Springer, Cham, Switzerland. ISBN 9783030969608

2021

Meggetto, Francesco and Revie, Crawford and Levine, John and Moshfeghi, Yashar; (2021) On skipping behaviour types in music streaming sessions. In: CIKM '21. International Conference on Information and Knowledge Management, Proceedings . ACM, New York, pp. 3333-3337. ISBN 9781450384469

Paisalnan, Sakrapee and Moshfeghi, Yashar and Pollick, Frank (2021) Neural correlates of realisation of satisfaction in a successful search process. Proceedings of the Association for Information Science and Technology, 58 (1). pp. 282-291. ISSN 2373-9231

Kingphai, Kunjira and Moshfeghi, Yashar (2021) Mental workload prediction level from EEG signals using deep learning models. In: The 3rd Neuroergonomics Conference 2021, 2021-09-11 - 2021-09-16.

Martínez-Castaño, Rodrigo and Htait, Amal and Azzopardi, Leif and Moshfeghi, Yashar; Candan, K. Selçuk and Ionescu, Bogdan and Goeuriot, Lorraine and Larsen, Birger and Müller, Henning and Joly, Alexis and Maistro, Maria and Piroi, Florina and Faggioli, Guglielmo and Ferro, Nicola, eds. (2021) BERT-based transformers for early detection of mental health illnesses. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer Science and Business Media Deutschland GmbH, Virtual, Online, pp. 189-200. ISBN 9783030852504

Moshfeghi, Yashar (2021) NeuraSearch : Neuroscience and information retrieval. CEUR Workshop Proceedings, 2950. pp. 193-194. ISSN 1613-0073

Meggetto, Francesco and Moshfeghi, Yashar and Jones, Rosie (2021) On Building a Podcast Collection with User Interactions. Preprint / Working Paper. University of Strathclyde, Glasgow. (Unpublished)

Berquand, Audrey and Moshfeghi, Yashar and Riccardi, Annalisa (2021) SpaceLDA : topic distributions aggregation from a heterogeneous corpus for space systems. Engineering Applications of Artificial Intelligence, 102. 104273. ISSN 0952-1976

Paun, Iulia and Moshfeghi, Yashar and Ntarmos, Nikos; (2021) Are we there yet? Estimating training time for recommendation systems. In: Proceedings of the 1st Workshop on Machine Learning and Systems, EuroMLSys 2021. Proceedings of the 1st Workshop on Machine Learning and Systems, EuroMLSys 2021 . ACM, New York, pp. 39-47. ISBN 9781450382984

Kyosev, Ivan and Paun, Iulia and Moshfeghi, Yashar and Ntarmos, Nikos; Wu, Xintao and Jermaine, Chris and Xiong, Li and Hu, Xiaohua and Kotevska, Olivera and Lu, Siyuan and Xu, Weijia and Aluru, Srinivas and Zhai, Chengxiang and Al-Masri, Eyhab and Chen, Zhiyuan and Saltz, Jeff, eds. (2021) Measuring distances among graphs en route to graph clustering. In: 2020 IEEE International Conference on Big Data. IEEE, USA, pp. 3632-3641. ISBN 9781728162515

2020

Martínez-Castaño, Rodrigo and Htait, Amal and Azzopardi, Leif and Moshfeghi, Yashar (2020) Early risk detection of self-harm and depression severity using BERT-based transformers : iLab at CLEF eRisk 2020. CEUR Workshop Proceedings, 2696. 50. ISSN 1613-0073

AlQatan, Abdulaziz and Azzopardi, Leif and Moshfeghi, Yashar; (2020) Analyzing the influence of bigrams on retrieval bias and effectiveness. In: ICTIR 2020 - Proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval. ACM, NOR, 157–160. ISBN 9781450380676

Pinkosova, Zuzana and McGeown, William J. and Moshfeghi, Yashar; (2020) The cortical activity of graded relevance. In: SIGIR '20 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, CHN, 299–308. ISBN 9781450380164

Berquand, Audrey and Moshfeghi, Yashar and Riccardi, Annalisa; (2020) Space mission design ontology : extraction of domain-specific entities and concepts similarity analysis. In: AIAA Scitech 2020 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, USA, pp. 1-13. ISBN 9781624105951

2019

Maxwell, David and Azzopardi, Leif and Moshfeghi, Yashar (2019) The impact of result diversification on search behaviour and performance. Information Retrieval Journal, 22 (5). pp. 422-446. ISSN 1573-7659

Berquand, Audrey and McDonald, Iain and Riccardi, Annalisa and Moshfeghi, Yashar (2019) The automatic categorisation of space mission requirements for the Design Engineering Assistant. In: 70th International Astronautical Congress, 2019-10-21 - 2019-10-25.

Gwizdka, Jacek and Moshfeghi, Yashar and Wilson, Max L. (2019) Introduction to the special issue on neuro-information science. Journal of the Association for Information Science and Technology, 70 (9). pp. 911-916. ISSN 2330-1635

Moshfeghi, Yashar and Pollick, Frank E. (2019) Neuropsychological model of the realization of information need. Journal of the Association for Information Science and Technology, 70 (9). pp. 954-967. ISSN 2330-1635

Mackie, Stuart and MacDonald, David and Azzopardi, Leif and Moshfeghi, Yashar; (2019) Looking for opportunities : challenges in professional procurement search. In: SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval . ACM, FRA, pp. 1397-1398. ISBN 9781450361729

Frommholz, Ingo and Liu, Haiming and Moshfeghi, Yashar (2019) The 9th symposium on future directions in information access. CEUR Workshop Proceedings, 2537. pp. 1-3. ISSN 1613-0073

Pinkosova, Zuzana and Moshfeghi, Yashar (2019) Cortical activity of relevance. CEUR Workshop Proceedings, 2537. pp. 10-15. ISSN 1613-0073

Paule, Jorge David Gonzalez and Sun, Yeran and Moshfeghi, Yashar (2019) On fine-grained geolocalisation of tweets and real-time traffic incident detection. Information Processing and Management, 56 (3). pp. 1119-1132. ISSN 0306-4573

Moshfeghi, Yashar and Triantafillou, Peter and Pollick, Frank E.; (2019) Towards predicting a realisation of an information need based on brain signals. In: The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. ACM, USA, pp. 1300-1309. ISBN 9781450366748

2018

Paule, Jorge David Gonzalez and Moshfeghi, Yashar and Macdonald, Craig and Ounis, Iadh; (2018) Learning to geolocalise Tweets at a fine-grained level. In: CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management. ACM, ITA, pp. 1675-1678. ISBN 9781450360142

Moshfeghi, Yashar and Pollick, Frank E.; (2018) Search process as transitions between neural states. In: Proceedings of the 2018 World Wide Web Conference. ACM, FRA, pp. 1683-1692. ISBN 9781450356398

2017

Paule, Jorge David Gonzalez and Moshfeghi, Yashar and Jose, Joemon M. and Thakuriah, Piyushimita (Vonu); (2017) On fine-grained geolocalisation of tweets. In: ICTIR '17 Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery, Inc, NLD, pp. 313-316. ISBN 9781450344906

Sun, Yeran and Moshfeghi, Yashar and Liu, Zhang (2017) Exploiting crowdsourced geographic information and GIS for assessment of air pollution exposure during active travel. Journal of Transport & Health, 6. pp. 93-104. ISSN 2214-1405

Chen, Long and Zhang, Huaizhi and Jose, Joemon M. and Yu, Haitao and Moshfeghi, Yashar and Triantafillou, Peter (2017) Topic detection and tracking on heterogeneous information. Journal of Intelligent Information Systems. ISSN 1573-7675

Maxwell, David and Azzopardi, Leif and Moshfeghi, Yashar; (2017) A study of snippet length and informativeness : behaviour, performance and user experience. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR '17 . ACM, New York, NY., pp. 135-144. ISBN 9781450350228

Azzopardi, Leif and Crane, Matt and Fang, Hui and Ingersoll, Grant and Lin, Jimmy and Moshfeghi, Yashar and Scells, Harrisen and Yang, Peilin and Zuccon, Guido; (2017) The Lucene for information access and retrieval research (LIARR) workshop at SIGIR 2017. In: SIGIR '17 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, New York, NY, pp. 1429-1430. ISBN 9781450350228

2016

Moshfeghi, Yashar and Triantafillou, Peter and Pollick, Frank E.; (2016) Understanding information need : an fMRI study. In: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval. ACM, New York, NY, pp. 335-344. ISBN 9781450340694

This list was generated on Tue Mar 19 09:34:17 2024 GMT.