Yashar Moshfeghi

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 62

Top Venues

University of Glasgow, UK (PHD)

Education History

University of Glasgow, UK

PHD

Publications

Jiaxin Zhang, Zhongzhi Li, Mingliang Zhang, Fei Yin, Chenglin Liu, Yashar Moshfeghi
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving. CoRR (2024)
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)
Jiaxin Zhang, Yashar Moshfeghi
GOLD: Geometry Problem Solver with Natural Language Description. CoRR (2024)
Niall McGuire, Yashar Moshfeghi
Prediction of the Realisation of an Information Need: An EEG Study. CoRR (2024)
Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi
Understanding Feeling-of-Knowing in Information Search: An EEG Study. ACM Trans. Inf. Syst. 42 (3) (2024)
Niall McGuire, Yashar Moshfeghi
Prediction of the Realisation of an Information Need: An EEG Study. SIGIR (2024)
Jiaxin Zhang, Yinghui Jiang, Yashar Moshfeghi
GAPS: Geometry-Aware Problem Solver. CoRR (2024)
Niall McGuire, Yashar Moshfeghi
What Song Am I Thinking Of? LOD (2) (2023)
Iulia Paun, Yashar Moshfeghi, Nikos Ntarmos
White Box: On the Prediction of Collaborative Filtering Recommendation Systems' Performance. ACM Trans. Internet Techn. 23 (1) (2023)
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)
Kunjira Kingphai, Yashar Moshfeghi
On Channel Selection for EEG-Based Mental Workload Classification. LOD (2) (2023)
Francesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi
Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning. CoRR (2023)
Francesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi
Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning. CHIIR (2023)
Francesco Meggetto, Yashar Moshfeghi
Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic Research. SIGIR (2023)
Niall McGuire, Yashar Moshfeghi
On Ensemble Learning for Mental Workload Classification. LOD (2) (2023)
Mohamed Amine Belabbes, Ian Ruthven, Yashar Moshfeghi, Diane Rasmussen Pennington
Information overload: a concept analysis. J. Documentation 79 (1) (2023)
Jiaxin Zhang, Yashar Moshfeghi
ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler. CoRR (2022)
Stuart Mackie, Leif Azzopardi, Yashar Moshfeghi
An Initial Analysis of E-Procurement Search Behaviour. iConference (2) (2022)
Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi
Information Need Awareness: An EEG Study. SIGIR (2022)
Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi
Drivers of Information Needs: A Behavioural Study - Exploring Searcher's Feeling-of-Knowing. ICTIR (2022)
Yashar Moshfeghi, Alvaro Francisco Huertas-Rosero
A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments. ACM Trans. Inf. Syst. 40 (3) (2022)
Jiaxin Zhang, Yashar Moshfeghi
ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler. NeurIPS (2022)
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)
Mark McArthur, Yashar Moshfeghi, Michael Cashmore
EgoPlan: A Framework for Multi-Agent Planning Using Single Agent Planners. FLAIRS (2022)
Zuzana Pinkosova, William J. McGeown, Yashar Moshfeghi
Revisiting Neurological Aspects of Relevance: An EEG Study. LOD (2) (2022)
Sakrapee Paisalnan, Frank E. Pollick, Yashar Moshfeghi
Neural Correlates of Satisfaction of an Information Need. LOD (2) (2022)
Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi
Confidence as Part of Searcher's Cognitive Context. LOD (2) (2022)
Zenon Lamprou, Frank E. Pollick, Yashar Moshfeghi
Role of Punctuation in Semantic Mapping Between Brain and Transformer Models. LOD (2) (2022)
Rodrigo Martínez-Castaño, Amal Htait, Leif Azzopardi, Yashar Moshfeghi
BERT-Based Transformers for Early Detection of Mental Health Illnesses. CLEF (2021)
Audrey Berquand, Yashar Moshfeghi, Annalisa Riccardi
SpaceLDA: Topic distributions aggregation from a heterogeneous corpus for space systems. Eng. Appl. Artif. Intell. 102 (2021)
Yashar Moshfeghi
NeuraSearch: Neuroscience and Information Retrieval. DESIRES (2021)
Kunjira Kingphai, Yashar Moshfeghi
On EEG Preprocessing Role in Deep Learning Effectiveness for Mental Workload Classification. H-WORKLOAD (2021)
Francesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi
On Skipping Behaviour Types in Music Streaming Sessions. CIKM (2021)
Sakrapee Paisalnan, Frank E. Pollick, Yashar Moshfeghi
Towards Understanding Neuroscience of Realisation of Information Need in Light of Relevance and Satisfaction Judgement. LOD (2021)
Sakrapee Paisalnan, Yashar Moshfeghi, Frank E. Pollick
Neural Correlates of Realisation of Satisfaction in a Successful Search Process. ASIST (2021)
Iulia Paun, Yashar Moshfeghi, Nikos Ntarmos
Are we there yet? Estimating Training Time for Recommendation Systems. EuroMLSys@EuroSys (2021)
Abdulaziz AlQatan, Leif Azzopardi, Yashar Moshfeghi
Analyzing the Influence of Bigrams on Retrieval Bias and Effectiveness. ICTIR (2020)
Ivan Kyosev, Iulia Paun, Yashar Moshfeghi, Nikos Ntarmos
Measuring Distances Among Graphs En Route To Graph Clustering. IEEE BigData (2020)
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)
Zuzana Pinkosova, William J. McGeown, Yashar Moshfeghi
The Cortical Activity of Graded Relevance. SIGIR (2020)
Yashar Moshfeghi, Peter Triantafillou, Frank E. Pollick
Towards Predicting a Realisation of an Information Need based on Brain Signals. WWW (2019)
Stuart Mackie, David Macdonald, Leif Azzopardi, Yashar Moshfeghi
Looking for Opportunities: Challenges in Procurement Search. SIGIR (2019)
David Maxwell, Leif Azzopardi, Yashar Moshfeghi
The impact of result diversification on search behaviour and performance. Inf. Retr. J. 22 (5) (2019)
Yashar Moshfeghi, Frank E. Pollick
Neuropsychological model of the realization of information need. J. Assoc. Inf. Sci. Technol. 70 (9) (2019)
Jacek Gwizdka, Yashar Moshfeghi, Max L. Wilson
Introduction to the special issue on neuro-information science. J. Assoc. Inf. Sci. Technol. 70 (9) (2019)
Zuzana Pinkosova, Yashar Moshfeghi
Cortical Activity of Relevance. FDIA@ESSIR (2019)
Ingo Frommholz, Haiming Liu, Yashar Moshfeghi
The 9th Symposium on Future Directions in Information Access. FDIA@ESSIR (2019)
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) (2019)
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) (2018)
Yashar Moshfeghi, Frank E. Pollick
Search Process as Transitions Between Neural States. WWW (2018)
Jorge David Gonzalez Paule, Yashar Moshfeghi, Craig Macdonald, Iadh Ounis
Learning to Geolocalise Tweets at a Fine-Grained Level. CIKM (2018)
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)
David Maxwell, Leif Azzopardi, Yashar Moshfeghi
A Study of Snippet Length and Informativeness: Behaviour, Performance and User Experience. SIGIR (2017)
Jorge David Gonzalez Paule, Yashar Moshfeghi, Joemon M. Jose, Piyushimita (Vonu) Thakuriah
On Fine-Grained Geolocalisation of Tweets. ICTIR (2017)
Yashar Moshfeghi, Raoul Rothfeld, Leif Azzopardi, Peter Triantafillou
A Task Completion Engine to Enhance Search Session Support for Air Traffic Work Tasks. ECIR (2017)
Yashar Moshfeghi, Alvaro Francisco Huertas-Rosero, Joemon M. Jose
Identifying Careless Workers in Crowdsourcing Platforms: A Game Theory Approach. SIGIR (2016)
Yashar Moshfeghi, Kristiyan Velinov, Peter Triantafillou
Improving Search Results with Prior Similar Queries. CIKM (2016)
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) (2016)
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) (2016)
Yashar Moshfeghi, Peter Triantafillou, Frank E. Pollick
Understanding Information Need: An fMRI Study. SIGIR (2016)
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)
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)
Philip J. McParlane, Yashar Moshfeghi, Joemon M. Jose
Collections for Automatic Image Annotation and Photo Tag Recommendation. MMM (1) (2014)
Philip J. McParlane, Yashar Moshfeghi, Joemon M. Jose
"Nobody comes here anymore, it's too crowded"; Predicting Image Popularity on Flickr. ICMR (2014)
Philip J. McParlane, Yashar Moshfeghi, Joemon M. Jose
On contextual photo tag recommendation. SIGIR (2013)
Jesus A. Rodriguez Perez, Yashar Moshfeghi, Joemon M. Jose
On using inter-document relations in microblog retrieval. WWW (Companion Volume) (2013)
Andrew James McMinn, Yashar Moshfeghi, Joemon M. Jose
Building a large-scale corpus for evaluating event detection on twitter. CIKM (2013)
Yashar Moshfeghi, Joemon M. Jose
An effective implicit relevance feedback technique using affective, physiological and behavioural features. SIGIR (2013)
Yashar Moshfeghi, Luisa R. Pinto, Frank E. Pollick, Joemon M. Jose
Understanding Relevance: An fMRI Study. ECIR (2013)
Jacek Gwizdka, Javed Mostafa, Yashar Moshfeghi, Ofer Bergman, Frank E. Pollick
Applications of neuroimaging in information science: Challenges and opportunities. ASIST (2013)
Yashar Moshfeghi, Joemon M. Jose
On the effectiveness of emotion extraction techniques. OAIR (2013)
Yashar Moshfeghi, Joemon M. Jose
On cognition, emotion, and interaction aspects of search tasks with different search intentions. WWW (2013)
Yashar Moshfeghi, Michael Matthews, Roi Blanco, Joemon M. Jose
Influence of Timeline and Named-Entity Components on User Engagement. ECIR (2013)
Yashar Moshfeghi, Guido Zuccon, Joemon M. Jose
Using Emotion to Diversify Document Rankings. ICTIR (2011)
Stewart Whiting, Yashar Moshfeghi, Joemon M. Jose
Exploring term temporality for pseudo-relevance feedback. SIGIR (2011)
Yashar Moshfeghi, Joemon M. Jose
Role of Emotional Features in Collaborative Recommendation. ECIR (2011)
Yashar Moshfeghi, Benjamin Piwowarski, Joemon M. Jose
Handling data sparsity in collaborative filtering using emotion and semantic based features. SIGIR (2011)
Benjamin Piwowarski, Ingo Frommholz, Yashar Moshfeghi, Mounia Lalmas, Keith van Rijsbergen
Filtering Documents with Subspaces. ECIR (2010)
Yashar Moshfeghi, Deepak Agarwal, Benjamin Piwowarski, Joemon M. Jose
Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering. ECIR (2009)
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)
Ali Azimi Bolourian, Yashar Moshfeghi, C. J. van Rijsbergen
SugarCube: quantification of topic propagation in the blogosphere using percolation theory. SIGIR (2009)
Yashar Moshfeghi
Affective adaptive retrieval: study of emotion in adaptive retrieval. SIGIR (2009)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yashar Moshfeghi