Hossein Soleimani

According to our database, Hossein Soleimani authored at least 43 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Learning Framework for the Design of Orbital Angular Momentum Generators Enabled by Leaky-wave Holograms.

Naser Omrani, Fardin Ghorbani, Sina Beyraghi, Homayoon Oraizi, Hossein Soleimani

CoRR, 2023

Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification.

Ali Ghanbarzade, Hossein Soleimani

CoRR, 2023

Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing.

Ali Ghanbarzade, Hossein Soleimani

CoRR, 2023

2021

Characterizing styles of clinical note production and relationship to clinical work hours among first-year residents.

Jen J. Gong, Hossein Soleimani, Sara G. Murray, Julia Adler-Milstein

J. Am. Medical Informatics Assoc., 2021

Statistical approaches for initial access in mmWave 5G systems.

Raúl Parada, Hossein Soleimani, Federico Moretto, Stefano Tomasin, Michele Zorzi

Trans. Emerg. Telecommun. Technol., 2021

Simultaneous estimation of wall and object parameters in TWR using deep neural network.

Fardin Ghorbani, Hossein Soleimani

CoRR, 2021

A deep learning approach for inverse design of the metasurface for dual-polarized waves.

Fardin Ghorbani, Javad Shabanpour, Sina Beyraghi, Hossein Soleimani, Homayoon Oraizi, Mohammad Soleimani

CoRR, 2021

Through-the-Wall Radar under Electromagnetic Complex Wall: A Deep Learning Approach.

Fardin Ghorbani, Hossein Soleimani

CoRR, 2021

Deep neural network-based automatic metasurface design with a wide frequency range.

Fardin Ghorbani, Sina Beyraghi, Javad Shabanpour, Homayoon Oraizi, Hossein Soleimani, Mohammad Soleimani

CoRR, 2021

2020

Secure hybrid pulse compression as a technique against jamming in radar systems.

Mojtaba Shahrab, Hossein Soleimani

Phys. Commun., 2020

Resistance against spot jamming by using pulse compression based on quadru-phase and frequency codes in radar systems.

Behnam Azadegan, Hossein Soleimani, Mohammad Soleimani

Digit. Signal Process., 2020

On segmentation of pectoralis muscle in digital mammograms by means of deep learning.

Hossein Soleimani, Oleg V. Michailovich

CoRR, 2020

On Segmentation of Pectoral Muscle in Digital Mammograms by Means of Deep Learning.

Hossein Soleimani, Oleg V. Michailovich

IEEE Access, 2020

Automatic Breast Tissue Segmentation in MRI Scans.

Hossein Soleimani, Oleg V. Michailovich

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2D X-Ray Mammogram and 3D Breast MRI Registration.

Hossein Soleimani, Oleg V. Michailovich

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Double Dice Roll Outperforms a Built-In Model for Predicting Remaining Length of Stay: Lessons Learned from a Prospective Evaluation.

Hossein Soleimani, Sara G. Murray

Proceedings of the AMIA 2020, 2020

2019

Exploiting the value of class labels on high-dimensional feature spaces: topic models for semi-supervised document classification.

Hossein Soleimani, David J. Miller

Pattern Anal. Appl., 2019

Palmprint image registration using convolutional neural networks and Hough transform.

Mohsen Ahmadi, Hossein Soleimani

CoRR, 2019

Fast Initial Access for mmWave 5G Systems with Hybrid Beamforming Using Online Statistics Learning.

Hossein Soleimani, Raúl Parada, Stefano Tomasin, Michele Zorzi

IEEE Commun. Mag., 2019

Segmentation of Breast MRI Scans in the Presence of Bias Fields.

Hossein Soleimani, Jose Rincon, Oleg V. Michailovich

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Fitting Smooth Manifolds to Point Clouds in a Level Set Formulation.

Hossein Soleimani, George Poothicottu Jacob, Oleg V. Michailovich

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

2018

Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction.

Hossein Soleimani, James Hensman, Suchi Saria

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Fast and efficient minutia-based palmprint matching.

Hossein Soleimani, Mohsen Ahmadi

IET Biom., 2018

mm-Wave channel estimation with accelerated gradient descent algorithms.

Hossein Soleimani, Danilo De Donno, Stefano Tomasin

EURASIP J. Wirel. Commun. Netw., 2018

On vehicular safety message transmissions through LTE-Advanced networks.

Hossein Soleimani, Azzedine Boukerche

Ad Hoc Networks, 2018

2017

Cluster-head based feedback for simplified time reversal prefiltering in ultra-wideband systems.

Hossein Soleimani, Stefano Tomasin, Tohid Alizadeh, Mohammad Shojafar

Phys. Commun., 2017

Semisupervised, Multilabel, Multi-Instance Learning for Structured Data.

Hossein Soleimani, David J. Miller

Neural Comput., 2017

Statistical Approaches for Initial Access in mmWave 5G Systems.

Hossein Soleimani, Raúl Parada, Stefano Tomasin, Michele Zorzi

CoRR, 2017

Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions.

Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria

CoRR, 2017

Safety message generation rate adaptation in LTE-based vehicular networks.

Hossein Soleimani, Thomas Begin, Azzedine Boukerche

Comput. Networks, 2017

Learning Treatment-Response Models from Multivariate Longitudinal Data.

Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

A comparative study of possible solutions for transmission of vehicular safety messages in LTE-based networks.

Hossein Soleimani, Azzedine Boukerche

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

D2D scheme for vehicular safety applications in LTE advanced network.

Hossein Soleimani, Azzedine Boukerche

Proceedings of the IEEE International Conference on Communications, 2017

2016

DeliciousMIL: A Data Set for Multi-Label Multi-Instance Learning with Instance Labels.

David Miller, Hossein Soleimani, Arkaitz Zubiaga, Vctor Fresno

Dataset, October, 2016

ATD: Anomalous Topic Discovery in High Dimensional Discrete Data.

Hossein Soleimani, David J. Miller

IEEE Trans. Knowl. Data Eng., 2016

Exploiting the value of class labels in topic models for semi-supervised document classification.

Hossein Soleimani, David J. Miller

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling.

Hossein Soleimani, David J. Miller

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Parsimonious Topic Models with Salient Word Discovery.

Hossein Soleimani, David J. Miller

IEEE Trans. Knowl. Data Eng., 2015

On an Objective Basis for the Maximum Entropy Principle.

David J. Miller, Hossein Soleimani

Entropy, 2015

SLA: Speed and Location Aware LTE Scheduler for Vehicular Safety Applications.

Hossein Soleimani, Azzedine Boukerche

Proceedings of the 13th ACM International Symposium on Mobility Management and Wireless Access, 2015

2014

CAMS transmission rate adaptation for vehicular safety application in LTE.

Hossein Soleimani, Azzedine Boukerche

Proceedings of the fourth ACM international symposium on Development and analysis of intelligent vehicular networks and applications, 2014

Sparse topic models by parameter sharing.

Hossein Soleimani, David J. Miller

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

2013

Weighted PCA for improving Document Image Retrieval System based on keyword spotting accuracy.

Reza Tavoli, Ehsan Kozegar, Mohammad Shojafar, Hossein Soleimani, Zahra Pooranian

Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013