Application of Interpretable Deep Learning in Genomic Analysis
Developed and applied interpretable deep learning models to identify genomic sequence features associated with nucleosome positioning.
Achievements and Accomplishments
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Development of Computational Methods for Drug Repurposing
Contributed to the development of computational and machine learning methods for drug-target interaction prediction and drug repurposing.
Best Paper Award
Received the Best Paper Award at an international scientific conference for research in machine learning and artificial intelligence.
Selected as a University Distinguished Researcher
Selected as a distinguished university researcher based on outstanding publications and research activities in artificial intelligence.
Books (Authoring, Compilation, Translation)
The role of collaborative networks in sustainability
Book Type:Composition-Institution:Springer Berlin Heidelberg-Publication Date:July 25, 2022
Description:data visulazation
Book Type:Authoring-Institution:Applied Soft Computing-Publication Date:August 8, 2022
Description:Publications and Conferences
Title of Article / Authors / Journal
Publication Year
Combination of ant colony optimization and Bayesian classification for feature selection in a bioinformatics dataset
Ahmad Reza Naghsh-NilchiJournal of Computer Science & Systems Biology
2011-07-27T04:42:08.749Z
A novel semi-supervised ensemble algorithm using a performance-based selection metric to non-stationary data streams
Ali AhmadiNeurocomputing
2017-08-02T04:41:29.467Z
COVID‐19 detection using deep convolutional neural networks and binary differential algorithm‐based feature selection from X‐ray images
Mohammad-Reza Feizi-DerakhshiComplexity
2021-08-06T04:40:41.823Z
Tune your brown clustering, please
Sean ChesterProceedings of the International Conference Recent Advances in Natural Language Processing
2022-07-24T04:38:51.408Z
Boosting for multiclass semi-supervised learning
Maarten Van SomerenPattern Recognition Letters
2015-07-31T04:37:41.784Z
STDS: self-training data streams for mining limited labeled data in non-stationary environment
Shirin KhezriApplied Intelligence
2024-08-06T05:37:10.002Z
An attention-based convolutional recurrent neural networks for scene text recognition
Adil Abdullah Abdulhussein AlshawiIEEE Access
2026-08-11T05:36:15.230Z
A deep ensemble medical image segmentation with novel sampling method and loss function
Mahdi Zarrin, Alireza Fakhim BabaeiComputers in Biology and Medicine
2021-07-28T04:35:27.648Z
A novel deep learning model based on transformer and cross modality attention for classification of sleep stages
Sahar Hassanzadeh Mostafaei, Amir SharafkhanehJournal of biomedical informatics
2023-07-31T05:34:43.292Z
Feature-weight and cluster-weight learning in fuzzy c-means method for semi-supervised clustering
Amin Golzari OskoueiApplied Soft Computing
2021-08-06T04:31:06.045Z
Conformal prediction for semi-supervised classification on data streams
Negin Samadi, Yousef AbdiInformation Sciences
2022-07-27T04:30:01.778Z
Semi-supervised self-training for decision tree classifiers
Negin Samadispringer
2010-07-27T04:29:14.392Z
COVID-19 infection forecasting based on deep learning in Iran
Amin Golzari Oskoueimedrxiv
2023-06-22T05:27:37.751Z
Research Projects
Project Title / Brief Description / Location
Implementation Date
Development of a Machine Learning Model for Drug-Target Interaction Prediction Using Biological Data
tabriz
2025-07-23
Development of an Interpretable Deep Learning Model for Predicting Gene Editing Efficiency Using DNA Sequence Data
tabriz
2023-07-25
Research Laboratory
1
Laboratory of Systems Biology and Bioinformatics (LBB)
Teaching Courses
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Bioinformatics
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Algorithm Design
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Machine Learnin
Students
D.K
diba khodayari
Thesis Title:Masters
Thesis Abstract:2023-08-11T09:29:39.928000+03:30
Under GraduateCurrently Enrolled
M.F
Mohanna farjami
Thesis Title:Masters
Thesis Abstract:2023-08-11T09:30:56.788000+03:30
Post GraduateCurrently Enrolled