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Maryam S. Mirian
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2020 – today
- 2023
- [j12]Mohsen Gholami, Rabab Ward
, Ravneet Mahal, Maryam S. Mirian
, Kevin Yen
, Kye Won Park
, Martin J. McKeown
, Z. Jane Wang
:
Automatic labeling of Parkinson's Disease gait videos with weak supervision. Medical Image Anal. 89: 102871 (2023) - 2022
- [j11]Emad Arasteh, Ailar Mahdizadeh, Maryam S. Mirian, Soojin Lee, Martin J. McKeown
:
Deep Transfer Learning for Parkinson's Disease Monitoring by Image-Based Representation of Resting-State EEG Using Directional Connectivity. Algorithms 15(1): 5 (2022) - [j10]Alireza Kazemi, Martin J. McKeown
, Maryam S. Mirian:
Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder. Biomed. Signal Process. Control. 75: 103539 (2022) - 2021
- [j9]Amelia A. Casciola
, Sebastiano K. Carlucci, Brianne A. Kent
, Amanda M. Punch, Michael A. Muszynski, Daniel Zhou, Alireza Kazemi
, Maryam S. Mirian, Jason Valerio, Martin J. McKeown
, Haakon B. Nygaard:
A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data. Sensors 21(10): 3316 (2021)
2010 – 2019
- 2018
- [j8]Nafiseh Torkzadeh Mahani, Mostafa Dehghani, Maryam S. Mirian, Azadeh Shakery, Khalil Taheri
:
Expert finding by the Dempster-Shafer theory for evidence combination. Expert Syst. J. Knowl. Eng. 35(1) (2018) - 2017
- [j7]Rizan Moradi, Khalil Taheri, Maryam S. Mirian:
Data-Driven Methods to Create Knowledge Maps for Decision Making in Academic Contexts. J. Inf. Knowl. Manag. 16(1): 1750008:1-1750008:28 (2017) - [j6]Gregory Allan, Saman Nouranian, Teresa Tsang
, Alexander Seitel
, Maryam S. Mirian, John Jue, Dale Hawley, Sarah Fleming, Ken Gin, Jody Swift, Robert Rohling, Purang Abolmaesumi:
Simultaneous Analysis of 2D Echo Views for Left Atrial Segmentation and Disease Detection. IEEE Trans. Medical Imaging 36(1): 40-50 (2017) - 2016
- [j5]Zahra Gharaee
, Alireza Fatehi
, Maryam S. Mirian, Majid Nili Ahmadabadi:
Attention control learning in the decision space using state estimation. Int. J. Syst. Sci. 47(7): 1659-1674 (2016) - [j4]Mostafa Dehghani
, Azadeh Shakery, Maryam S. Mirian:
Alecsa: Attentive Learning for Email Categorization using Structural Aspects. Knowl. Based Syst. 98: 44-54 (2016) - [c11]Mojgan Hashemian
, Hadi Moradi, Maryam S. Mirian:
"How Is His/Her Mood": A Question That a Companion Robot May Be Able to Answer. ICSR 2016: 274-284 - 2015
- [c10]Mohammad Hossein Shahmoradi, Mohammad Ali Akhaee, Maryam S. Mirian:
Combined classification and regression for simultaneous and proportional EMG control of wrist forces. EUSIPCO 2015: 2426-2430 - [c9]Mojgan Hashemian
, Hadi Moradi, Maryam S. Mirian, Mehdi Tehrani-Doost, Rabab K. Ward:
Is the Mood Really in the Eye of the Beholder? HCI (27) 2015: 712-717 - [c8]Ricardo Ochoa Gallardo, Alan J. Hu, André Ivanov, Maryam S. Mirian:
Reducing Post-Silicon Coverage Monitoring Overhead with Emulation and Bayesian Feature Selection. ICCAD 2015: 816-823 - 2013
- [c7]Farzaneh Zarei, Ali Basirat, Heshaam Faili, Maryam S. Mirian:
Automatic Enhancement of LTAG Treebank. RANLP 2013: 733-739 - 2012
- [j3]Maryam S. Mirian, Babak Nadjar Araabi
, Majid Nili Ahmadabadi, Roland Siegwart
:
METAL: A framework for mixture-of-experts task and attention learning. J. Intell. Fuzzy Syst. 23(4): 111-128 (2012) - [j2]Hadi Firouzi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
, Saeed Amizadeh, Maryam S. Mirian, Roland Siegwart
:
Interactive Learning in Continuous Multimodal Space: A Bayesian Approach to Action-Based Soft Partitioning and Learning. IEEE Trans. Auton. Ment. Dev. 4(2): 124-138 (2012) - [c6]Sepehr Eghbali, Majid Nili Ahmadabadi, Babak Nadjar Araabi
, Maryam S. Mirian:
Learning Attentive Fusion of Multiple Bayesian Network Classifiers. ICONIP (3) 2012: 133-140 - [c5]Maryam Tavakol, Majid Nili Ahmadabadi, Maryam S. Mirian, Masoud Asadpour:
A Distributed Q-Learning Approach for Variable Attention to Multiple Critics. ICONIP (3) 2012: 244-251 - [c4]Rizan Moradi, Nafiseh Torkzadeh Mahani, Neda Eghbali, Elnaz Ketabchi, Maryam S. Mirian:
Knowledge map as a decision support tool for expert finding in research-based organizations. IST 2012: 1195-1200 - 2011
- [j1]Maryam S. Mirian, Majid Nili Ahmadabadi, Babak Nadjar Araabi
, Roland Siegwart
:
Learning Active Fusion of Multiple Experts' Decisions: An Attention-Based Approach. Neural Comput. 23(2): 558-591 (2011)
2000 – 2009
- 2009
- [c3]Narges Noori, Majid Nili Ahmadabadi, Maryam S. Mirian, Babak Nadjar Araabi
:
Speeding up top-down attention control learning by using full observation knowledge. CIRA 2009: 369-374 - 2008
- [c2]Maryam S. Mirian, Majid Nili Ahmadabadi, Babak Nadjar Araabi
, Roland Siegwart
:
Comparing Learning Attention Control in Perceptual and Decision Space. WAPCV 2008: 242-256 - 2003
- [c1]Maryam S. Mirian, Majid Nili Ahmadabadi, Babak Nadjar Araabi:
A Fault Tolerant Multi-Agent System with Non-Deterministic Decision-Making for Task Allocation. Engineering of Reconfigurable Systems and Algorithms 2003: 312-315
Coauthor Index
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