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Zhang, Jiaxin and Li, Zhong Zhi and Zhang, Ming Liang and Yin, Fei and Liu, Cheng Lin and Moshfeghi, Yashar; Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek, eds. (2024) GeoEval : benchmark for evaluating LLMs and multi-modal models on geometry problem-solving. In: 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024. Proceedings of the Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics (ACL), THA, pp. 1258-1276. ISBN 9798891760998

McGuire, Niall and Moshfeghi, Yashar; (2024) Prediction of the realisation of an information need : an EEG Study. In: SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval . ACM, USA, pp. 2584-2588. ISBN 9798400704314

Zhang, Jiaxin and Moshfeghi, Yashar; Duh, Kevin and Gomez, Helena and Bethard, Steven, eds. (2024) GOLD : geometry problem solver with natural language description. In: Findings of the Association for Computational Linguistics. Association for Computational Linguistics (ACL), MEX, pp. 263-278. ISBN 9798891761193

Prochacki, Pat and Thomas, Daniel and Moreno-Rangel, Alejandro and Moshfeghi, Yashar; Moreno-Rangel, Alejandro, ed. (2024) More technology? Evaluating the effectiveness of smart thermostats. In: UKIEG Annual Conference 2024. University of Strathclyde, GBR, pp. 22-23. ISBN 9781914241703

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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