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ORCIDYashar Moshfeghi
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2020 – today
- 2024
[j12]Dominika Michalkova
, Mario Parra-Rodriguez, Yashar Moshfeghi:
Understanding Feeling-of-Knowing in Information Search: An EEG Study. ACM Trans. Inf. Syst. 42(3): 79:1-79:30 (2024)- [c66]Jiaxin Zhang, Zhongzhi Li, Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu, Yashar Moshfeghi:
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving. ACL (Findings) 2024: 1258-1276 - [c65]Jiaxin Zhang, Yashar Moshfeghi:
GOLD: Geometry Problem Solver with Natural Language Description. NAACL-HLT (Findings) 2024: 263-278 - [c64]Niall McGuire, Yashar Moshfeghi:
Prediction of the Realisation of an Information Need: An EEG Study. SIGIR 2024: 2584-2588 - [i9]Jiaxin Zhang, Yinghui Jiang, Yashar Moshfeghi:
GAPS: Geometry-Aware Problem Solver. CoRR abs/2401.16287 (2024) - [i8]Jiaxin Zhang, Zhongzhi Li, Ming-Liang Zhang, Fei Yin, Chenglin Liu, Yashar Moshfeghi:
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving. CoRR abs/2402.10104 (2024) - [i7]Jiaxin Zhang, Yashar Moshfeghi:
GOLD: Geometry Problem Solver with Natural Language Description. CoRR abs/2405.00494 (2024) - [i6]Niall McGuire, Yashar Moshfeghi:
Prediction of the Realisation of an Information Need: An EEG Study. CoRR abs/2406.08105 (2024) - [i5]Zenon Lamprou, Iakovos Tenedios, Yashar Moshfeghi:
On the Role of Activation Functions in EEG-To-Text Decoder. CoRR abs/2410.12572 (2024) - [i4]Leif Azzopardi, Yashar Moshfeghi:
PRISM: A Methodology for Auditing Biases in Large Language Models. CoRR abs/2410.18906 (2024) - [i3]Niall McGuire, Yashar Moshfeghi:
DEEPER: Dense Electroencephalography Passage Retrieval. CoRR abs/2412.06695 (2024) - 2023
- [j11]Mohamed Amine Belabbes, Ian Ruthven, Yashar Moshfeghi, Diane Rasmussen Pennington:
Information overload: a concept analysis. J. Documentation 79(1): 144-159 (2023) - [j10]Iulia Paun, Yashar Moshfeghi, Nikos Ntarmos:
White Box: On the Prediction of Collaborative Filtering Recommendation Systems' Performance. ACM Trans. Internet Techn. 23(1): 8:1-8:29 (2023) - [c63]Francesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi:
Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning. CHIIR 2023: 95-106 - [c62]Maha Al-Anqoudi, Mireilla Bikanga Ada, Stephen McQuistin, Nikos Ntarmos, Jack Parkinson, Yashar Moshfeghi:
Traditional Vs Non-Traditional Assessment Activities as Learning Indicators of Student Learning: Teachers' Perceptions. LWMOOCS 2023: 1-6 - [c61]Niall McGuire, Yashar Moshfeghi:
On Ensemble Learning for Mental Workload Classification. LOD (2) 2023: 358-372 - [c60]Kunjira Kingphai, Yashar Moshfeghi:
On Channel Selection for EEG-Based Mental Workload Classification. LOD (2) 2023: 403-417 - [c59]Niall McGuire, Yashar Moshfeghi:
What Song Am I Thinking Of? LOD (2) 2023: 418-432 - [c58]Francesco Meggetto, Yashar Moshfeghi:
Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic Research. SIGIR 2023: 3215-3219 - [i2]Francesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi:
Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning. CoRR abs/2301.03881 (2023) - 2022
- [j9]Yashar Moshfeghi, Alvaro Francisco Huertas-Rosero:
A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments. ACM Trans. Inf. Syst. 40(3): 60:1-60:29 (2022) - [c57]Mark McArthur, Yashar Moshfeghi, Michael Cashmore:
EgoPlan: A Framework for Multi-Agent Planning Using Single Agent Planners. FLAIRS 2022 - [c56]Stuart Mackie, Leif Azzopardi, Yashar Moshfeghi:
An Initial Analysis of E-Procurement Search Behaviour. iConference (2) 2022: 3-12 - [c55]Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi:
Drivers of Information Needs: A Behavioural Study - Exploring Searcher's Feeling-of-Knowing. ICTIR 2022: 171-181 - [c54]Kunjira Kingphai, Yashar Moshfeghi:
On Time Series Cross-Validation for Deep Learning Classification Model of Mental Workload Levels Based on EEG Signals. LOD (2) 2022: 402-416 - [c53]Sakrapee Paisalnan, Frank E. Pollick, Yashar Moshfeghi:
Neural Correlates of Satisfaction of an Information Need. LOD (2) 2022: 443-457 - [c52]Zenon Lamprou, Frank E. Pollick, Yashar Moshfeghi:
Role of Punctuation in Semantic Mapping Between Brain and Transformer Models. LOD (2) 2022: 458-472 - [c51]Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi:
Confidence as Part of Searcher's Cognitive Context. LOD (2) 2022: 510-524 - [c50]Zuzana Pinkosova, William J. McGeown, Yashar Moshfeghi:
Revisiting Neurological Aspects of Relevance: An EEG Study. LOD (2) 2022: 549-563 - [c49]Jiaxin Zhang, Yashar Moshfeghi:
ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler. NeurIPS 2022 - [c48]Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi:
Information Need Awareness: An EEG Study. SIGIR 2022: 610-621 - [i1]Jiaxin Zhang, Yashar Moshfeghi:
ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler. CoRR abs/2210.10105 (2022) - 2021
- [j8]Audrey Berquand, Yashar Moshfeghi, Annalisa Riccardi:
SpaceLDA: Topic distributions aggregation from a heterogeneous corpus for space systems. Eng. Appl. Artif. Intell. 102: 104273 (2021) - [c47]Sakrapee Paisalnan, Yashar Moshfeghi, Frank E. Pollick:
Neural Correlates of Realisation of Satisfaction in a Successful Search Process. ASIST 2021: 282-291 - [c46]Francesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi:
On Skipping Behaviour Types in Music Streaming Sessions. CIKM 2021: 3333-3337 - [c45]Rodrigo Martínez-Castaño, Amal Htait, Leif Azzopardi, Yashar Moshfeghi:
BERT-Based Transformers for Early Detection of Mental Health Illnesses. CLEF 2021: 189-200 - [c44]Yashar Moshfeghi:
NeuraSearch: Neuroscience and Information Retrieval. DESIRES 2021: 193-194 - [c43]Iulia Paun, Yashar Moshfeghi, Nikos Ntarmos:
Are we there yet? Estimating Training Time for Recommendation Systems. EuroMLSys@EuroSys 2021: 39-47 - [c42]Kunjira Kingphai, Yashar Moshfeghi:
On EEG Preprocessing Role in Deep Learning Effectiveness for Mental Workload Classification. H-WORKLOAD 2021: 81-98 - [c41]Sakrapee Paisalnan, Frank E. Pollick, Yashar Moshfeghi:
Towards Understanding Neuroscience of Realisation of Information Need in Light of Relevance and Satisfaction Judgement. LOD 2021: 41-56 - 2020
- [c40]Ivan Kyosev, Iulia Paun, Yashar Moshfeghi, Nikos Ntarmos:
Measuring Distances Among Graphs En Route To Graph Clustering. IEEE BigData 2020: 3632-3641 - [c39]Rodrigo Martínez-Castaño, Amal Htait, Leif Azzopardi, Yashar Moshfeghi:
Early Risk Detection of Self-Harm and Depression Severity using BERT-based Transformers. CLEF (Working Notes) 2020 - [c38]Abdulaziz AlQatan, Leif Azzopardi, Yashar Moshfeghi:
Analyzing the Influence of Bigrams on Retrieval Bias and Effectiveness. ICTIR 2020: 157-160 - [c37]Zuzana Pinkosova, William J. McGeown, Yashar Moshfeghi:
The Cortical Activity of Graded Relevance. SIGIR 2020: 299-308 - [e2]Ingo Frommholz, Haiming Liu, Yashar Moshfeghi:
Proceedings of the 9th PhD Symposium on Future Directions in Information Access co-located with 12th European Summer School in Information Retrieval (ESSIR 2019), Milan, Italy, July 17th - to - 18th, 2019. CEUR Workshop Proceedings 2537, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j7]Jorge David Gonzalez Paule, Yeran Sun, Yashar Moshfeghi:
On fine-grained geolocalisation of tweets and real-time traffic incident detection. Inf. Process. Manag. 56(3): 1119-1132 (2019) - [j6]David Maxwell, Leif Azzopardi, Yashar Moshfeghi:
The impact of result diversification on search behaviour and performance. Inf. Retr. J. 22(5): 422-446 (2019) - [j5]Jacek Gwizdka, Yashar Moshfeghi, Max L. Wilson:
Introduction to the special issue on neuro-information science. J. Assoc. Inf. Sci. Technol. 70(9): 911-916 (2019) - [j4]Yashar Moshfeghi, Frank E. Pollick:
Neuropsychological model of the realization of information need. J. Assoc. Inf. Sci. Technol. 70(9): 954-967 (2019) - [c36]Ingo Frommholz, Haiming Liu, Yashar Moshfeghi:
The 9th Symposium on Future Directions in Information Access. FDIA@ESSIR 2019: 1-3 - [c35]Zuzana Pinkosova, Yashar Moshfeghi:
Cortical Activity of Relevance. FDIA@ESSIR 2019: 10-15 - [c34]Stuart Mackie, David Macdonald, Leif Azzopardi, Yashar Moshfeghi:
Looking for Opportunities: Challenges in Procurement Search. SIGIR 2019: 1397-1398 - [c33]Yashar Moshfeghi, Peter Triantafillou, Frank E. Pollick:
Towards Predicting a Realisation of an Information Need based on Brain Signals. WWW 2019: 1300-1309 - 2018
- [j3]Long Chen, Huaizhi Zhang, Joemon M. Jose, Haitao Yu, Yashar Moshfeghi, Peter Triantafillou:
Topic detection and tracking on heterogeneous information. J. Intell. Inf. Syst. 51(1): 115-137 (2018) - [c32]Jorge David Gonzalez Paule, Yashar Moshfeghi, Craig Macdonald, Iadh Ounis:
Learning to Geolocalise Tweets at a Fine-Grained Level. CIKM 2018: 1675-1678 - [c31]Yashar Moshfeghi, Frank E. Pollick:
Search Process as Transitions Between Neural States. WWW 2018: 1683-1692 - 2017
- [c30]Yashar Moshfeghi, Raoul Rothfeld, Leif Azzopardi, Peter Triantafillou:
A Task Completion Engine to Enhance Search Session Support for Air Traffic Work Tasks. ECIR 2017: 278-290 - [c29]Jorge David Gonzalez Paule, Yashar Moshfeghi, Joemon M. Jose, Piyushimita (Vonu) Thakuriah:
On Fine-Grained Geolocalisation of Tweets. ICTIR 2017: 313-316 - [c28]David Maxwell, Leif Azzopardi, Yashar Moshfeghi:
A Study of Snippet Length and Informativeness: Behaviour, Performance and User Experience. SIGIR 2017: 135-144 - [c27]Leif Azzopardi, Matt Crane, Hui Fang, Grant Ingersoll, Jimmy Lin, Yashar Moshfeghi, Harrisen Scells, Peilin Yang, Guido Zuccon:
The Lucene for Information Access and Retrieval Research (LIARR) Workshop at SIGIR 2017. SIGIR 2017: 1429-1430 - 2016
- [j2]Leif Azzopardi, Yashar Moshfeghi, Martin Halvey, Rami Suleiman Alkhawaldeh, Krisztian Balog, Emanuele Di Buccio, Diego Ceccarelli, Juan M. Fernández-Luna, Charlie Hull, Jake Mannix, Sauparna Palchowdhury:
Lucene4IR: Developing Information Retrieval Evaluation Resources using Lucene. SIGIR Forum 50(2): 58-75 (2016) - [j1]Yashar Moshfeghi, Alvaro Francisco Huertas-Rosero, Joemon M. Jose:
A Game-Theory Approach for Effective Crowdsource-Based Relevance Assessment. ACM Trans. Intell. Syst. Technol. 7(4): 55:1-55:25 (2016) - [c26]Yashar Moshfeghi, Kristiyan Velinov, Peter Triantafillou:
Improving Search Results with Prior Similar Queries. CIKM 2016: 1985-1988 - [c25]Yashar Moshfeghi, Peter Triantafillou, Frank E. Pollick:
Understanding Information Need: An fMRI Study. SIGIR 2016: 335-344 - [c24]Yashar Moshfeghi, Alvaro Francisco Huertas-Rosero, Joemon M. Jose:
Identifying Careless Workers in Crowdsourcing Platforms: A Game Theory Approach. SIGIR 2016: 857-860 - 2015
- [c23]Yashar Moshfeghi, Iadh Ounis, Craig Macdonald, Joemon M. Jose, Peter Triantafillou, Mark Livingston, Piyushimita Thakuriah:
UCUI'15: The 1st International Workshop on Understanding the City with Urban Informatics. CIKM 2015: 1955-1956 - [c22]Marco Allegretti, Yashar Moshfeghi, Maria Hadjigeorgieva, Frank E. Pollick, Joemon M. Jose, Gabriella Pasi:
When Relevance Judgement is Happening?: An EEG-based Study. SIGIR 2015: 719-722 - [e1]Yashar Moshfeghi, Iadh Ounis, Craig Macdonald, Joemon M. Jose, Peter Triantafillou, Mark Livingston, Piyushimita Thakuriah:
Proceedings of the ACM First International Workshop on Understanding the City with Urban Informatics, UCUI 2015, Melbourne, Australia, October 19, 2015. ACM 2015, ISBN 978-1-4503-3786-1 [contents] - 2014
- [c21]Philip J. McParlane, Yashar Moshfeghi, Joemon M. Jose:
"Nobody comes here anymore, it's too crowded"; Predicting Image Popularity on Flickr. ICMR 2014: 385 - [c20]Philip J. McParlane, Yashar Moshfeghi, Joemon M. Jose:
Collections for Automatic Image Annotation and Photo Tag Recommendation. MMM (1) 2014: 133-145 - 2013
- [c19]Jacek Gwizdka, Javed Mostafa, Yashar Moshfeghi, Ofer Bergman, Frank E. Pollick:
Applications of neuroimaging in information science: Challenges and opportunities. ASIST 2013: 1-4 - [c18]Andrew James McMinn, Yashar Moshfeghi, Joemon M. Jose:
Building a large-scale corpus for evaluating event detection on twitter. CIKM 2013: 409-418 - [c17]Yashar Moshfeghi, Luisa R. Pinto, Frank E. Pollick, Joemon M. Jose:
Understanding Relevance: An fMRI Study. ECIR 2013: 14-25 - [c16]Yashar Moshfeghi, Michael Matthews, Roi Blanco, Joemon M. Jose:
Influence of Timeline and Named-Entity Components on User Engagement. ECIR 2013: 305-317 - [c15]Yashar Moshfeghi, Joemon M. Jose:
On the effectiveness of emotion extraction techniques. OAIR 2013: 197-200 - [c14]Yashar Moshfeghi, Joemon M. Jose:
An effective implicit relevance feedback technique using affective, physiological and behavioural features. SIGIR 2013: 133-142 - [c13]Philip J. McParlane, Yashar Moshfeghi, Joemon M. Jose:
On contextual photo tag recommendation. SIGIR 2013: 965-968 - [c12]Jesus A. Rodriguez Perez, Yashar Moshfeghi, Joemon M. Jose:
On using inter-document relations in microblog retrieval. WWW (Companion Volume) 2013: 75-76 - [c11]Yashar Moshfeghi, Joemon M. Jose:
On cognition, emotion, and interaction aspects of search tasks with different search intentions. WWW 2013: 931-942 - 2012
- [b1]Yashar Moshfeghi:
Role of emotion in information retrieval. University of Glasgow, UK, 2012 - 2011
- [c10]Yashar Moshfeghi, Joemon M. Jose:
Role of Emotional Features in Collaborative Recommendation. ECIR 2011: 738-742 - [c9]Yashar Moshfeghi, Guido Zuccon, Joemon M. Jose:
Using Emotion to Diversify Document Rankings. ICTIR 2011: 337-341 - [c8]Yashar Moshfeghi, Benjamin Piwowarski, Joemon M. Jose:
Handling data sparsity in collaborative filtering using emotion and semantic based features. SIGIR 2011: 625-634 - [c7]Stewart Whiting, Yashar Moshfeghi, Joemon M. Jose:
Exploring term temporality for pseudo-relevance feedback. SIGIR 2011: 1245-1246 - 2010
- [c6]Benjamin Piwowarski, Ingo Frommholz, Yashar Moshfeghi, Mounia Lalmas, Keith van Rijsbergen:
Filtering Documents with Subspaces. ECIR 2010: 615-618
2000 – 2009
- 2009
- [c5]Ioannis Arapakis, Yashar Moshfeghi, Hideo Joho, Reede Ren, David Hannah, Joemon M. Jose:
Enriching user profiling with affective features for the improvement of a multimodal recommender system. CIVR 2009 - [c4]Yashar Moshfeghi, Deepak Agarwal, Benjamin Piwowarski, Joemon M. Jose:
Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering. ECIR 2009: 54-65 - [c3]Ioannis Arapakis, Yashar Moshfeghi, Hideo Joho, Reede Ren, David Hannah, Joemon M. Jose:
Integrating facial expressions into user profiling for the improvement of a multimodal recommender system. ICME 2009: 1440-1443 - [c2]Ali Azimi Bolourian, Yashar Moshfeghi, C. J. van Rijsbergen:
SugarCube: quantification of topic propagation in the blogosphere using percolation theory. SIGIR 2009: 786-787 - [c1]Yashar Moshfeghi:
Affective adaptive retrieval: study of emotion in adaptive retrieval. SIGIR 2009: 852
Coauthor Index
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