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Hossein Soleimani
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2020 – today
- 2023
- [i14]Ali Ghanbarzade, Hossein Soleimani:
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing. CoRR abs/2301.12541 (2023) - [i13]Ali Ghanbarzade, Hossein Soleimani:
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification. CoRR abs/2302.01793 (2023) - [i12]Naser Omrani, Fardin Ghorbani, Sina Beyraghi, Homayoon Oraizi, Hossein Soleimani:
Deep Learning Framework for the Design of Orbital Angular Momentum Generators Enabled by Leaky-wave Holograms. CoRR abs/2304.12695 (2023) - 2021
- [j17]Raúl Parada, Hossein Soleimani
, Federico Moretto, Stefano Tomasin
Statistical approaches for initial access in mmWave 5G systems. Trans. Emerg. Telecommun. Technol. 32(1) (2021) - [j16]Jen J. Gong, Hossein Soleimani, Sara G. Murray, Julia Adler-Milstein:
Characterizing styles of clinical note production and relationship to clinical work hours among first-year residents. J. Am. Medical Informatics Assoc. 29(1): 120-127 (2021) - [i11]Fardin Ghorbani, Sina Beyraghi, Javad Shabanpour, Homayoon Oraizi, Hossein Soleimani, Mohammad Soleimani:
Deep neural network-based automatic metasurface design with a wide frequency range. CoRR abs/2101.10866 (2021) - [i10]Fardin Ghorbani, Hossein Soleimani:
Through-the-Wall Radar under Electromagnetic Complex Wall: A Deep Learning Approach. CoRR abs/2102.07990 (2021) - [i9]Fardin Ghorbani, Javad Shabanpour
A deep learning approach for inverse design of the metasurface for dual-polarized waves. CoRR abs/2105.08508 (2021) - [i8]Fardin Ghorbani, Hossein Soleimani:
Simultaneous estimation of wall and object parameters in TWR using deep neural network. CoRR abs/2111.04568 (2021) - 2020
- [j15]Hossein Soleimani
On Segmentation of Pectoral Muscle in Digital Mammograms by Means of Deep Learning. IEEE Access 8: 204173-204182 (2020) - [j14]Behnam Azadegan, Hossein Soleimani
Resistance against spot jamming by using pulse compression based on quadru-phase and frequency codes in radar systems. Digit. Signal Process. 99: 102679 (2020) - [j13]Mojtaba Shahrab, Hossein Soleimani
Secure hybrid pulse compression as a technique against jamming in radar systems. Phys. Commun. 43: 101216 (2020) - [c14]Hossein Soleimani, Sara G. Murray:
Double Dice Roll Outperforms a Built-In Model for Predicting Remaining Length of Stay: Lessons Learned from a Prospective Evaluation. AMIA 2020 - [c13]Hossein Soleimani, Oleg V. Michailovich:
2D X-Ray Mammogram and 3D Breast MRI Registration. MICCAI (6) 2020: 150-159 - [c12]Hossein Soleimani, Oleg V. Michailovich:
Automatic Breast Tissue Segmentation in MRI Scans. SMC 2020: 1572-1577 - [i7]Hossein Soleimani, Oleg V. Michailovich:
On segmentation of pectoralis muscle in digital mammograms by means of deep learning. CoRR abs/2008.12904 (2020)
2010 – 2019
- 2019
- [j12]Hossein Soleimani
Fast Initial Access for mmWave 5G Systems with Hybrid Beamforming Using Online Statistics Learning. IEEE Commun. Mag. 57(9): 132-137 (2019) - [j11]Hossein Soleimani
Exploiting the value of class labels on high-dimensional feature spaces: topic models for semi-supervised document classification. Pattern Anal. Appl. 22(2): 299-309 (2019) - [c11]Hossein Soleimani, George Poothicottu Jacob, Oleg V. Michailovich:
Fitting Smooth Manifolds to Point Clouds in a Level Set Formulation. ICIAR (1) 2019: 139-149 - [c10]Hossein Soleimani, Jose Rincon, Oleg V. Michailovich:
Segmentation of Breast MRI Scans in the Presence of Bias Fields. ICIAR (1) 2019: 376-387 - [i6]Mohsen Ahmadi, Hossein Soleimani:
Palmprint image registration using convolutional neural networks and Hough transform. CoRR abs/1904.00579 (2019) - 2018
- [j10]Hossein Soleimani
On vehicular safety message transmissions through LTE-Advanced networks. Ad Hoc Networks 79: 133-145 (2018) - [j9]Hossein Soleimani
mm-Wave channel estimation with accelerated gradient descent algorithms. EURASIP J. Wirel. Commun. Netw. 2018: 272 (2018) - [j8]Hossein Soleimani, Mohsen Ahmadi:
Fast and efficient minutia-based palmprint matching. IET Biom. 7(6): 573-580 (2018) - [j7]Hossein Soleimani
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1948-1963 (2018) - 2017
- [j6]Hossein Soleimani
Safety message generation rate adaptation in LTE-based vehicular networks. Comput. Networks 128: 186-196 (2017) - [j5]Hossein Soleimani, David J. Miller:
Semisupervised, Multilabel, Multi-Instance Learning for Structured Data. Neural Comput. 29(4): 1053-1102 (2017) - [j4]Hossein Soleimani
Cluster-head based feedback for simplified time reversal prefiltering in ultra-wideband systems. Phys. Commun. 25: 100-109 (2017) - [c9]Hossein Soleimani
D2D scheme for vehicular safety applications in LTE advanced network. ICC 2017: 1-6 - [c8]Hossein Soleimani
A comparative study of possible solutions for transmission of vehicular safety messages in LTE-based networks. PIMRC 2017: 1-5 - [c7]Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria:
Learning Treatment-Response Models from Multivariate Longitudinal Data. UAI 2017 - [i5]Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria:
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions. CoRR abs/1704.02038 (2017) - [i4]Hossein Soleimani, James Hensman, Suchi Saria:
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction. CoRR abs/1708.04757 (2017) - [i3]Hossein Soleimani, Raúl Parada, Stefano Tomasin, Michele Zorzi:
Statistical Approaches for Initial Access in mmWave 5G Systems. CoRR abs/1711.05456 (2017) - 2016
- [j3]Hossein Soleimani
ATD: Anomalous Topic Discovery in High Dimensional Discrete Data. IEEE Trans. Knowl. Data Eng. 28(9): 2267-2280 (2016) - [c6]Hossein Soleimani, David J. Miller:
Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling. CIKM 2016: 105-114 - [c5]Hossein Soleimani, David J. Miller:
Exploiting the value of class labels in topic models for semi-supervised document classification. IJCNN 2016: 4025-4031 - [d1]David Miller, Hossein Soleimani, Arkaitz Zubiaga, Vctor Fresno:
DeliciousMIL: A Data Set for Multi-Label Multi-Instance Learning with Instance Labels. UCI Machine Learning Repository, 2016 - 2015
- [j2]David J. Miller, Hossein Soleimani:
On an Objective Basis for the Maximum Entropy Principle. Entropy 17(1): 401-406 (2015) - [j1]Hossein Soleimani, David J. Miller:
Parsimonious Topic Models with Salient Word Discovery. IEEE Trans. Knowl. Data Eng. 27(3): 824-837 (2015) - [c4]Hossein Soleimani
SLA: Speed and Location Aware LTE Scheduler for Vehicular Safety Applications. MobiWac 2015: 13-19 - [i2]Hossein Soleimani, David J. Miller:
ATD: Anomalous Topic Discovery in High Dimensional Discrete Data. CoRR abs/1512.06452 (2015) - 2014
- [c3]Hossein Soleimani, David J. Miller:
Sparse topic models by parameter sharing. MLSP 2014: 1-6 - [c2]Hossein Soleimani
CAMS transmission rate adaptation for vehicular safety application in LTE. DIVANet@MSWiM 2014: 47-52 - [i1]Hossein Soleimani, David J. Miller:
Parsimonious Topic Models with Salient Word Discovery. CoRR abs/1401.6169 (2014) - 2013
- [c1]Reza Tavoli, Ehsan Kozegar
Weighted PCA for improving Document Image Retrieval System based on keyword spotting accuracy. TSP 2013: 773-777
Coauthor Index
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