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ORCIDAli Yousefi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j13]Navid Ziaei
, Behzad Nazari, Uri T. Eden, Alik S. Widge, Ali Yousefi:
A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data. IEEE Access 12: 113314-113335 (2024)- [j12]Ali Yousefi, Kambiz Badie, Mohammad Mehdi Ebadzadeh, Arash Sharifi:
Improving the efficiency of the XCS learning classifier system using evolutionary memory. Wirel. Networks 30(6): 5171-5186 (2024) - [c15]Ali Yousefi, Zoe Betta, Giovanni Mottola, Carmine Tommaso Recchiuto, Antonio Sgorbissa:
Immersive control of a quadruped robot with Virtual Reality Eye-wear. RO-MAN 2024: 49-55 - [i7]Navid Ziaei, Behzad Nazari, Ali Yousefi:
A Discriminative Bayesian Gaussian Process Latent Variable Model for High-Dimensional Data. CoRR abs/2401.16497 (2024) - [i6]Navid Ziaei, Joshua J. Stim, Melanie D. Goodman-Keiser, Scott Sponheim, Alik S. Widge, Sasoun Krikorian, Ali Yousefi:
Latent Variable Double Gaussian Process Model for Decoding Complex Neural Data. CoRR abs/2405.05424 (2024) - [i5]Maryam Ostadsharif Memar, Navid Ziaei, Behzad Nazari, Ali Yousefi:
RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier. CoRR abs/2408.14477 (2024) - 2023
- [j11]Zahra Papi, Sina Fathi, Fatemeh Dalvand, Mahsa Vali, Ali Yousefi, Mohammad Hemmatyar Tabatabaei, Alireza Amouheidari, Iraj Abedi:
Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging. Neuroinformatics 21(4): 641-650 (2023) - [c14]Navid Ziaei, Reza Saadatifard, Ali Yousefi, Behzad Nazari, Sydney S. Cash, Angelique C. Paulk:
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity. BI 2023: 227-238 - [c13]Reza Saadati Fard, Navid Ziaei, Ali Yousefi:
Latent Dynamical Model to Characterize Brain Network-Level Rhythmic Dynamics. EMBC 2023: 1-5 - [i4]Navid Ziaei, Reza Saadati Fard, Ali Yousefi, Behzad Nazari, Sydney S. Cash, Angelique C. Paulk:
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity. CoRR abs/2307.15672 (2023) - 2022
- [j10]Pejman Ebrahimi, Marjan Basirat, Ali Yousefi, Md. Nekmahmud, Abbas Gholampour, Maria Fekete-Farkas:
Social Networks Marketing and Consumer Purchase Behavior: The Combination of SEM and Unsupervised Machine Learning Approaches. Big Data Cogn. Comput. 6(2): 35 (2022) - [j9]Mohammad R. Rezaei, Alex E. Hadjinicolaou, Sydney S. Cash, Uri T. Eden, Ali Yousefi:
Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data. Neural Comput. 34(5): 1100-1135 (2022) - [i3]Mohammad R. Rezaei, Milos R. Popovic, Milad Lankarany, Ali Yousefi:
Deep Discriminative Direct Decoders for High-dimensional Time-series Analysis. CoRR abs/2205.10947 (2022) - 2021
- [j8]Yalda Amidi, Behzad Nazari, Saeid Sadri, Ali Yousefi:
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework. Neural Comput. 33(5): 1269-1299 (2021) - [c12]Connor J. McLaughlin, Efi G. Kokkotou, Jean A. King, Lisa A. Conboy, Ali Yousefi:
Latent Factor Decomposition Model: Applications for Questionnaire Data *. EMBC 2021: 1891-1894 - [i2]Connor J. McLaughlin, Efi G. Kokkotou, Jean A. King, Lisa A. Conboy, Ali Yousefi:
Latent Factor Decomposition Model: Applications for Questionnaire Data. CoRR abs/2104.15106 (2021) - 2020
- [j7]Ali Yousefi, Yalda Amidi, Behzad Nazari, Uri T. Eden:
Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling. Neural Comput. 32(11): 2145-2186 (2020) - [j6]Rina Zelmann, Angelique C. Paulk, Ishita Basu, Anish A. Sarma, Ali Yousefi, Britni Crocker, Emad N. Eskandar, Ziv Williams, G. Rees Cosgrove, Daniel S. Weisholtz, Darin D. Dougherty, Wilson Truccolo, Alik S. Widge, Sydney S. Cash:
CLoSES: A platform for closed-loop intracranial stimulation in humans. NeuroImage 223: 117314 (2020)
2010 – 2019
- 2019
- [j5]Ali Yousefi, Ishita Basu, Angelique C. Paulk, Noam Peled, Emad N. Eskandar, Darin D. Dougherty, Sydney S. Cash, Alik S. Widge, Uri T. Eden:
Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach. Neural Comput. 31(9): 1751-1788 (2019) - [j4]Ali Yousefi, Anna K. Gillespie, Jennifer A. Guidera, Mattias P. Karlsson, Loren M. Frank, Uri T. Eden:
Efficient Decoding of Multi-Dimensional Signals From Population Spiking Activity Using a Gaussian Mixture Particle Filter. IEEE Trans. Biomed. Eng. 66(12): 3486-3498 (2019) - [c11]Yalda Amidi, Angelique C. Paulk, Darin D. Dougherty, Sydney S. Cash, Alik S. Widge, Uri T. Eden, Ali Yousefi:
Continuous Prediction of Cognitive State Using A Marked-Point Process Modeling Framework. EMBC 2019: 2933-2938 - [c10]Ali Yousefi, Reza Saadati Fard, Uri T. Eden, Emery N. Brown:
State-Space Global Coherence to Estimate the Spatio-Temporal Dynamics of the Coordinated Brain Activity. EMBC 2019: 5794-5798 - 2018
- [c9]Yalda Amidi, Behzad Nazari, Saeed Sadri, Uri T. Eden, Ali Yousefi:
Parameter Estimation in Synaptic Coupling Model Using a Point Process Modeling Framework*. EMBC 2018: 2362-2365 - [c8]Mohammad R. Rezaei, Anna K. Gillespie, Jennifer A. Guidera, Behzad Nazari, Saeid Sadri, Loren M. Frank, Uri T. Eden, Ali Yousefi:
A Comparison Study of Point-Process Filter and Deep Learning Performance in Estimating Rat Position Using an Ensemble of Place Cells. EMBC 2018: 4732-4735 - 2017
- [c7]Ali Yousefi, Reza Kakooee, Mohammad T. H. Beheshti, Darin D. Dougherty, Emad N. Eskandar, Alik S. Widge, Uri T. Eden:
Predicting learning dynamics in Multiple-Choice Decision-Making Tasks using a variational Bayes technique. EMBC 2017: 3194-3197 - [i1]Amir Mohammad Esmaieeli Sikaroudi, Sasan Ghaffari, Ali Yousefi, Hassan Sadeghi Naeini:
Foot anthropometry device and single object image thresholding. CoRR abs/1707.03004 (2017) - 2015
- [c6]Ali Yousefi, Angelique C. Paulk, Thilo Deckersbach, Darin D. Dougherty, Emad N. Eskandar, Alik S. Widge, Uri T. Eden:
Cognitive state prediction using an EM algorithm applied to Gamma distributed data. EMBC 2015: 7819-7824 - 2014
- [j3]Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger:
Synaptic dynamics: Linear model and adaptation algorithm. Neural Networks 56: 49-68 (2014) - [c5]Ali Yousefi, Amir Reza Aqamohammadi:
A new DEA model for six sigma project selecting: Case study on Esfahan Province Electricity Distribution Co (EPEDC). IEEM 2014: 627-631 - 2012
- [c4]Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger:
Synaptic dynamics: Linear model and adaptation algorithm. EMBC 2012: 1362-1365 - 2011
- [c3]Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger:
Supervised learning in a single layer Dynamic Synapses Neural Network. IJCNN 2011: 2250-2257 - 2010
- [j2]Ali Yousefi, Abdollah Hadi-Vencheh:
An integrated group decision making model and its evaluation by DEA for automobile industry. Expert Syst. Appl. 37(12): 8543-8556 (2010) - [c2]Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger:
The Application of Non-Homogenous HMM on the Detection of Security Fence Breaches. ICASSP 2010: 1606-1609
2000 – 2009
- 2009
- [j1]Ali Yousefi, David E. Goertz, Kullervo Hynynen:
Transcranial Shear-Mode Ultrasound: Assessment of Imaging Performance and Excitation Techniques. IEEE Trans. Medical Imaging 28(5): 763-774 (2009) - [c1]Ali Yousefi:
Group Management in Mobile Ad Hoc Networks. BroadBandCom 2009: 283-290
Coauthor Index
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