Weighted PCA for improving Document Image Retrieval System based on keyword spotting accuracy. - Reza Tavoli; Ehsan Kozegar; Mohammad Shojafar; Hossein Soleimani; Zahra Pooranian (TSP, 2013)

Sparse topic models by parameter sharing. - Hossein Soleimani; David J. Miller 001 (MLSP, 2014)

CAMS transmission rate adaptation for vehicular safety application in LTE. - Hossein Soleimani; Azzedine Boukerche (DIVANet@MSWiM, 2014)

SLA: Speed and Location Aware LTE Scheduler for Vehicular Safety Applications. - Hossein Soleimani; Azzedine Boukerche (MobiWac, 2015)

On an Objective Basis for the Maximum Entropy Principle. - David J. Miller 001; Hossein Soleimani (Entropy, 2015)

Parsimonious Topic Models with Salient Word Discovery. - Hossein Soleimani; David J. Miller 001 (IEEE Trans. Knowl. Data Eng., 2015)

Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling. - Hossein Soleimani; David J. Miller 001 (CIKM, 2016)

Exploiting the value of class labels in topic models for semi-supervised document classification. - Hossein Soleimani; David J. Miller 001 (IJCNN, 2016)

ATD: Anomalous Topic Discovery in High Dimensional Discrete Data. - Hossein Soleimani; David J. Miller 001 (IEEE Trans. Knowl. Data Eng., 2016)

DeliciousMIL: A Data Set for Multi-Label Multi-Instance Learning with Instance Labels. - David Miller; Hossein Soleimani; Arkaitz Zubiaga; Vctor Fresno (UCI Machine Learning Repository, 2016)

D2D scheme for vehicular safety applications in LTE advanced network. - Hossein Soleimani; Azzedine Boukerche (ICC, 2017)

A comparative study of possible solutions for transmission of vehicular safety messages in LTE-based networks. - Hossein Soleimani; Azzedine Boukerche (PIMRC, 2017)

Learning Treatment-Response Models from Multivariate Longitudinal Data. - Hossein Soleimani; Adarsh Subbaswamy; Suchi Saria (UAI, 2017)

Safety message generation rate adaptation in LTE-based vehicular networks. - Hossein Soleimani; Thomas Begin; Azzedine Boukerche (Comput. Networks, 2017)

Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions. - Hossein Soleimani; Adarsh Subbaswamy; Suchi Saria (CoRR, 2017)

Statistical Approaches for Initial Access in mmWave 5G Systems. - Hossein Soleimani; Raúl Parada; Stefano Tomasin; Michele Zorzi (CoRR, 2017)

Semisupervised, Multilabel, Multi-Instance Learning for Structured Data. - Hossein Soleimani; David J. Miller 001 (Neural Comput., 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)

On vehicular safety message transmissions through LTE-Advanced networks. - Hossein Soleimani; Azzedine Boukerche (Ad Hoc Networks, 2018)

mm-Wave channel estimation with accelerated gradient descent algorithms. - Hossein Soleimani; Danilo De Donno; Stefano Tomasin (EURASIP J. Wirel. Commun. Netw., 2018)

Fast and efficient minutia-based palmprint matching. - Hossein Soleimani; Mohsen Ahmadi (IET Biom., 2018)

Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction. - Hossein Soleimani; James Hensman; Suchi Saria (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Fitting Smooth Manifolds to Point Clouds in a Level Set Formulation. - Hossein Soleimani; George Poothicottu Jacob; Oleg V. Michailovich (ICIAR (1), 2019)

Segmentation of Breast MRI Scans in the Presence of Bias Fields. - Hossein Soleimani; Jose Rincon; Oleg V. Michailovich (ICIAR (1), 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)

Palmprint image registration using convolutional neural networks and Hough transform. - Mohsen Ahmadi; Hossein Soleimani (CoRR, 2019)

Exploiting the value of class labels on high-dimensional feature spaces: topic models for semi-supervised document classification. - Hossein Soleimani; David J. Miller 001 (Pattern Anal. Appl., 2019)

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 (AMIA, 2020)

2D X-Ray Mammogram and 3D Breast MRI Registration. - Hossein Soleimani; Oleg V. Michailovich (MICCAI (6), 2020)

Automatic Breast Tissue Segmentation in MRI Scans. - Hossein Soleimani; Oleg V. Michailovich (SMC, 2020)

On Segmentation of Pectoral Muscle in Digital Mammograms by Means of Deep Learning. - Hossein Soleimani; Oleg V. Michailovich (IEEE Access, 2020)

On segmentation of pectoralis muscle in digital mammograms by means of deep learning. - Hossein Soleimani; Oleg V. Michailovich (CoRR, 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)

Secure hybrid pulse compression as a technique against jamming in radar systems. - Mojtaba Shahrab; Hossein Soleimani (Phys. Commun., 2020)

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)

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

Simultaneous estimation of wall and object parameters in TWR using deep neural network. - Fardin Ghorbani; Hossein Soleimani (CoRR, 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)

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)

Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing. - Ali Ghanbarzade; Hossein Soleimani (CoRR, 2023)

Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification. - Ali Ghanbarzade; Hossein Soleimani (CoRR, 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)

In-Domain Supervised and Contrastive Self-Supervised Representation Learning for Dense Prediction Problems in Remote Sensing Imageries. - Ali Ghanbarzadeh; Hossein Soleimani (IEEE Access, 2024)

Minimizing ISL in DFT-Spread OFDM Radar Using Complementary Overlaying and Greedy-MSA Optimization. - Aata Nokhostin Roohi; Hossein Soleimani; Mohammad Soleimani (IEEE Access, 2024)

The Effect of Antenna Place Codes for Reducing Sidelobes of SIAR and Frequency Diverse Array Sensors. - Pourya Yaghoubi Aliabad; Hossein Soleimani; Mohammad Soleimani (IET Signal Process., 2024)

Alternating MSA and Mo-QEA to Design Slow-Time Coded PRF-Set in Pulse-Doppler Radar. - Aata Nokhostin Roohi; Hossein Soleimani; Mohammad Soleimani (IEEE Access, 2025)

Enhancing Lifetime and Reliability in WSNs: Complementary of Dual-Battery Systems Energy Management Strategy. - Mehrshad Eskandarpour; Hossein Soleimani (Int. J. Distributed Sens. Networks, 2025)

GNSS/GPS Spoofing and Jamming Identification Using Machine Learning and Deep Learning. - Ali Ghanbarzade; Hossein Soleimani (CoRR, 2025)

Energy Efficient Task Offloading in UAV-Enabled MEC Using a Fully Decentralized Deep Reinforcement Learning Approach. - Hamidreza Asadian-Rad; Hossein Soleimani; Shahrokh Farahmand (CoRR, 2025)

Game-Theoretic and Reinforcement Learning-Based Cluster Head Selection for Energy-Efficient Wireless Sensor Network. - Mehrshad Eskandarpour; Saba Pirahmadian; Parham Soltani; Hossein Soleimani (CoRR, 2025)

Adaptive Vision-Based Coverage Optimization in Mobile Wireless Sensor Networks: A Multi-Agent Deep Reinforcement Learning Approach. - Parham Soltani; Mehrshad Eskandarpour; Sina Heidari; Farnaz Alizadeh; Hossein Soleimani (CoRR, 2025)

Energy-Efficient Routing Algorithm for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach. - Parham Soltani; Mehrshad Eskandarpour; Amir Ahmadizad; Hossein Soleimani (CoRR, 2025)