Javid Dadashkarimi
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Pseudo-relevance feedback based on matrix factorization
H Zamani, J Dadashkarimi, A Shakery, WB Croft
Proceedings of the 25th ACM international on conference on information and …, 2016
A hitchhiker’s guide to working with large, open-source neuroimaging datasets
C Horien, S Noble, AS Greene, K Lee, DS Barron, S Gao, D O’Connor, ...
Nature human behaviour 5 (2), 185-193, 2021
Transdiagnostic, connectome-based prediction of memory constructs across psychiatric disorders
DS Barron, S Gao, J Dadashkarimi, AS Greene, MN Spann, S Noble, ...
Cerebral Cortex 31 (5), 2523-2533, 2021
Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
D Scheinost, J Dadashkarimi, ES Finn, CG Wambach, C MacGillivray, ...
Neuropsychopharmacology 46 (7), 1300-1306, 2021
Predicting the future of neuroimaging predictive models in mental health
L Tejavibulya, M Rolison, S Gao, Q Liang, H Peterson, J Dadashkarimi, ...
Molecular psychiatry 27 (8), 3129-3137, 2022
An expectation-maximization algorithm for query translation based on pseudo-relevant documents
J Dadashkarimi, A Shakery, H Faili, H Zamani
Information Processing & Management 53 (2), 371-387, 2017
A probabilistic translation method for dictionary-based cross-lingual information retrieval in agglutinative languages
J Dadashkarimi, A Shakery, H Faili
arXiv preprint arXiv:1411.1006, 2014
Connectome-based prediction of craving in gambling disorder and cocaine use disorder
S Antons, SW Yip, CM Lacadie, J Dadashkarimi, D Scheinost, M Brand, ...
Dialogues in Clinical Neuroscience 25 (1), 33-42, 2023
Building a multi-domain comparable corpus using a learning to rank method
R Rahimi, A Shakery, J Dadashkarimi, M Ariannezhad, M Dehghani, ...
Natural Language Engineering 22 (4), 627-653, 2016
Altered brain dynamics across bipolar disorder and schizophrenia during rest and task switching revealed by overlapping brain states
J Ye, H Sun, S Gao, J Dadashkarimi, M Rosenblatt, RX Rodriguez, ...
Biological Psychiatry 94 (7), 580-590, 2023
The exact class of graph functions generated by graph neural networks
M Fereydounian, H Hassani, J Dadashkarimi, A Karbasi
arXiv preprint arXiv:2202.08833, 2022
A mass multivariate edge-wise approach for combining multiple connectomes to improve the detection of group differences
J Dadashkarimi, S Gao, E Yeagle, S Noble, D Scheinost
Connectomics in NeuroImaging: Third International Workshop, CNI 2019, Held …, 2019
Dimension projection among languages based on pseudo-relevant documents for query translation
J Dadashkarimi, MS Shahshahani, A Tebbifakhr, H Faili, A Shakery
Advances in Information Retrieval: 39th European Conference on IR Research …, 2017
Machine learning and prediction in fetal, infant, and toddler neuroimaging: A review and primer
D Scheinost, A Pollatou, AJ Dufford, R Jiang, MC Farruggia, M Rosenblatt, ...
Biological psychiatry 93 (10), 893-904, 2023
Data-driven mapping between functional connectomes using optimal transport
J Dadashkarimi, A Karbasi, D Scheinost
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Predicting transdiagnostic social impairments in childhood using connectome-based predictive modeling
AJ Dufford, V Kimble, L Tejavibulya, J Dadashkarimi, K Ibrahim, ...
medRxiv, 2022.04. 07.22273518, 2022
SS4MCT: a statistical stemmer for morphologically complex texts
J Dadashkarimi, H Nasr Esfahani, H Faili, A Shakery
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 7th …, 2016
Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport
J Dadashkarimi, A Karbasi, D Scheinost
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Task-based functional connectomes predict cognitive phenotypes across psychiatric disease
DS Barron, S Gao, J Dadashkarimi, AS Greene, MN Spann, S Noble, ...
BioRxiv, 638825, 2019
Zero-shot transfer learning for semantic parsing
J Dadashkarimi, A Fabbri, S Tatikonda, DR Radev
arXiv preprint arXiv:1808.09889, 2018
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