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ORCIDAhmad Pesaranghader
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2020 – today
- 2022
[j3]Ahmad Pesaranghader, Stan Matwin
, Marina Sokolova, Jean-Christophe Grenier, Robert G. Beiko, Julie Hussin:
deepSimDEF: deep neural embeddings of gene products and gene ontology terms for functional analysis of genes. Bioinform. 38(11): 3051-3061 (2022)- [i5]Yuesong Zou, Ahmad Pesaranghader, Aman Verma, David L. Buckeridge, Yue Li:
Modeling electronic health record data using a knowledge-graph-embedded topic model. CoRR abs/2206.01436 (2022) - 2021
- [c10]Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei:
CT-SGAN: Computed Tomography Synthesis GAN. DGM4MICCAI/DALI@MICCAI 2021: 67-79 - [i4]Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei:
CT-SGAN: Computed Tomography Synthesis GAN. CoRR abs/2110.09288 (2021)
2010 – 2019
- 2019
- [j2]Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Ali Pesaranghader:
deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. J. Am. Medical Informatics Assoc. 26(5): 438-446 (2019) - [c9]Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. ICCV 2019: 7566-7575 - [i3]Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. CoRR abs/1908.05324 (2019) - 2018
- [c8]Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova:
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. Canadian AI 2018: 96-107 - [i2]Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova:
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. CoRR abs/1802.09059 (2018) - 2017
- [c7]Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin:
TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks. CASCON 2017: 192-200 - [i1]Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin:
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks. CoRR abs/1705.02636 (2017) - 2016
- [j1]Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Robert G. Beiko:
simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes. Bioinform. 32(9): 1380-1387 (2016) - 2014
- [c6]Ahmad Pesaranghader, Ali Pesaranghader, Azadeh Rezaei, Danoosh Davoodi:
Gene Functional Similarity Analysis by Definition-based Semantic Similarity Measurement of GO Terms. Canadian AI 2014: 203-214 - 2013
- [c5]Ahmad Pesaranghader, Ali Pesaranghader, Azadeh Rezaei:
Augmenting Concept Definition in Gloss Vector Semantic Relatedness Measure using Wikipedia Articles. DaEng 2013: 623-630 - [c4]Ali Pesaranghader, Norwati Mustapha, Ahmad Pesaranghader:
Applying semantic similarity measures to enhance topic-specific web crawling. ISDA 2013: 205-212 - [c3]Ahmad Pesaranghader, Azadeh Rezaei, Ali Pesaranghader:
Adapting Gloss Vector Semantic Relatedness Measure for Semantic Similarity Estimation: An Evaluation in the Biomedical Domain. JIST 2013: 129-145 - [c2]Ahmad Pesaranghader, Saravanan Muthaiyah:
Definition-based Information Content Vectors for Semantic Similarity Measurement. M-CAIT 2013: 268-282 - [c1]Ahmad Pesaranghader, Ali Pesaranghader, Azadeh Rezaei:
Applying Latent Semantic Analysis to Optimize Second-order Co-occurrence Vectors for Semantic Relatedness Measurement. MIKE 2013: 588-599
Coauthor Index
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