Hossein Soleimani

Orcid: 0000-0003-4218-0380

According to our database1, Hossein Soleimani authored at least 43 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Deep Learning Framework for the Design of Orbital Angular Momentum Generators Enabled by Leaky-wave Holograms.
CoRR, 2023

Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification.
CoRR, 2023

Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing.
CoRR, 2023

2021
Characterizing styles of clinical note production and relationship to clinical work hours among first-year residents.
J. Am. Medical Informatics Assoc., 2021

Statistical approaches for initial access in mmWave 5G systems.
Trans. Emerg. Telecommun. Technol., 2021

Simultaneous estimation of wall and object parameters in TWR using deep neural network.
CoRR, 2021

A deep learning approach for inverse design of the metasurface for dual-polarized waves.
CoRR, 2021

Through-the-Wall Radar under Electromagnetic Complex Wall: A Deep Learning Approach.
CoRR, 2021

Deep neural network-based automatic metasurface design with a wide frequency range.
CoRR, 2021

2020
Secure hybrid pulse compression as a technique against jamming in radar systems.
Phys. Commun., 2020

Resistance against spot jamming by using pulse compression based on quadru-phase and frequency codes in radar systems.
Digit. Signal Process., 2020

On segmentation of pectoralis muscle in digital mammograms by means of deep learning.
CoRR, 2020

On Segmentation of Pectoral Muscle in Digital Mammograms by Means of Deep Learning.
IEEE Access, 2020

Automatic Breast Tissue Segmentation in MRI Scans.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2D X-Ray Mammogram and 3D Breast MRI Registration.
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.
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.
Pattern Anal. Appl., 2019

Palmprint image registration using convolutional neural networks and Hough transform.
CoRR, 2019

Fast Initial Access for mmWave 5G Systems with Hybrid Beamforming Using Online Statistics Learning.
IEEE Commun. Mag., 2019

Segmentation of Breast MRI Scans in the Presence of Bias Fields.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Fitting Smooth Manifolds to Point Clouds in a Level Set Formulation.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

2018
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Fast and efficient minutia-based palmprint matching.
IET Biom., 2018

mm-Wave channel estimation with accelerated gradient descent algorithms.
EURASIP J. Wirel. Commun. Netw., 2018

On vehicular safety message transmissions through LTE-Advanced networks.
Ad Hoc Networks, 2018

2017
Cluster-head based feedback for simplified time reversal prefiltering in ultra-wideband systems.
Phys. Commun., 2017

Semisupervised, Multilabel, Multi-Instance Learning for Structured Data.
Neural Comput., 2017

Statistical Approaches for Initial Access in mmWave 5G Systems.
CoRR, 2017

Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions.
CoRR, 2017

Safety message generation rate adaptation in LTE-based vehicular networks.
Comput. Networks, 2017

Learning Treatment-Response Models from Multivariate Longitudinal Data.
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.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

D2D scheme for vehicular safety applications in LTE advanced network.
Proceedings of the IEEE International Conference on Communications, 2017

2016
DeliciousMIL: A Data Set for Multi-Label Multi-Instance Learning with Instance Labels.
Dataset, October, 2016

ATD: Anomalous Topic Discovery in High Dimensional Discrete Data.
IEEE Trans. Knowl. Data Eng., 2016

Exploiting the value of class labels in topic models for semi-supervised document classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Parsimonious Topic Models with Salient Word Discovery.
IEEE Trans. Knowl. Data Eng., 2015

On an Objective Basis for the Maximum Entropy Principle.
Entropy, 2015

SLA: Speed and Location Aware LTE Scheduler for Vehicular Safety Applications.
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.
Proceedings of the fourth ACM international symposium on Development and analysis of intelligent vehicular networks and applications, 2014

Sparse topic models by parameter sharing.
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.
Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013


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