A Pistachio Nuts Classification Technique: An ANN Based Signal Processing Scheme. - Somaieh Mahdavi-Jafari; Hojjat Salehinejad; Siamak Talebi (CIMCA/IAWTIC/ISE, 2008)

A New Route Selection System: Multiparameter Ant Algorithm Based Vehicle Navigation Approach. - Hojjat Salehinejad; Farhad Pouladi; Siamak Talebi (CIMCA/IAWTIC/ISE, 2008)

Improved initial value prediction for global motion estimation. - Adel Ahmadi; Hojjat Salehinejad; Siamak Talebi; Faroukh Koroupi (EUSIPCO, 2010)

A metaheuristic approach to spectrum assignment for opportunistic spectrum access. - Hojjat Salehinejad; Siamak Talebi; Farhad Pouladi (ICT, 2010)

Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System. - Hojjat Salehinejad; Siamak Talebi (Appl. Comput. Intell. Soft Comput., 2010)

Intelligent Navigation of Emergency Vehicles. - Hojjat Salehinejad; Farhad Pouladi; Siamak Talebi (DeSE, 2011)

PAPR reduction of OFDM signals using harmony search algorithm. - Emad Meimand Kermani; Hojjat Salehinejad; Siamak Talebi (ICT, 2011)

PAPR Reduction of OFDM Signals by Novel Global Harmony Search in PTS Scheme. - Hojjat Salehinejad; Siamak Talebi (Int. J. Digit. Multim. Broadcast., 2012)

A subsampling-predictor associated approach for fast global motion estimation. - Adel Ahmadi; Siamak Talebi; Hojjat Salehinejad (Sci. Iran., 2012)

Cognitive radio networks spectrum allocation: An ACS perspective. - Faroukh Koroupi; Siamak Talebi; Hojjat Salehinejad (Sci. Iran., 2012)

Optimum Localization of Wind Turbine Sites Using Opposition Based Ant Colony Optimization. - Farhad Pouladi; Amir Mohammad Gilani; Bahareh Nikpour; Hojjat Salehinejad (DeSE, 2013)

Computing opposition by involving entire population. - Shahryar Rahnamayan; Jude Jesuthasan; Farid Bourennani; Hojjat Salehinejad; Greg F. Naterer (IEEE Congress on Evolutionary Computation, 2014)

Type-II opposition-based differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (IEEE Congress on Evolutionary Computation, 2014)

Micro-differential evolution with vectorized random mutation factor. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh; Stephen Y. Chen (IEEE Congress on Evolutionary Computation, 2014)

3D localization in large-scale Wireless Sensor Networks: A micro-differential evolution approach. - Hojjat Salehinejad; Robert Zadeh; Ramiro Liscano; Shahryar Rahnamayan (PIMRC, 2014)

Centroid Opposition-Based Differential Evolution. - Shahryar Rahnamayan; Jude Jesuthasan; Farid Bourennani; Greg F. Naterer; Hojjat Salehinejad (Int. J. Appl. Metaheuristic Comput., 2014)

Optimum communication infrastructure design for power grids synchronisation in smart grids. - Farhad Pouladi; Hojjat Salehinejad; Hamid Sanatnama; Siamak Talebi (Int. J. Bio Inspired Comput., 2014)

Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics. - Farhad Pouladi; Hojjat Salehinejad; Amir Mohammad Gilani (DeSE, 2015)

Deep Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics. - Farhad Pouladi; Hojjat Salehinejad; Amir Mohammad Gilani (CoRR, 2015)

Combined A*-Ants Algorithm: A New Multi-Parameter Vehicle Navigation Scheme. - Hojjat Salehinejad; Hossein Nezamabadi-pour; Saeid Saryazdi; Fereydoun Farrahi Moghaddam (CoRR, 2015)

Toward Smart Power Grids: Communication Network Design for Power Grids Synchronization. - Hojjat Salehinejad; Farhad Pouladi; Siamak Talebi (CoRR, 2015)

UWB wireless: a scheme for SCADA communications in offshore wind farms. - Hojjat Salehinejad; Siamak Talebi; Masoud RashidiNejad (Int. J. Ultra Wideband Commun. Syst., 2015)

Exploration enhancement in ensemble micro-differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (CEC, 2016)

Customer shopping pattern prediction: A recurrent neural network approach. - Hojjat Salehinejad; Shahryar Rahnamayan (SSCI, 2016)

Effects of centralized population initialization in differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan (SSCI, 2016)

Internet of Things for Residential Areas: Toward Personalized Energy Management Using Big Data. - Hojjat Salehinejad (CoRR, 2016)

Learning Over Long Time Lags. - Hojjat Salehinejad (CoRR, 2016)

A convolutional neural network for search term detection. - Hojjat Salehinejad; Joseph Barfett; Parham Aarabi; Shahrokh Valaee; Errol Colak; Bruce Gray; Tim Dowdell (PIMRC, 2017)

Opposition-based ensemble micro-differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (SSCI, 2017)

Micro-differential evolution: Diversity enhancement and a comparative study. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (Appl. Soft Comput., 2017)

A Convolutional Neural Network for Search Term Detection-A Draft. - Hojjat Salehinejad; Joseph Barfett; Parham Aarabi; Shahrokh Valaee; Errol Colak; Bruce Gray; Tim Dowdell (CoRR, 2017)

Training Neural Networks with Very Little Data - A Draft. - Hojjat Salehinejad; Joseph Barfett; Shahrokh Valaee; Timothy Dowdell (CoRR, 2017)

Interpretation of Mammogram and Chest Radiograph Reports using Deep Neural Networks - Preliminary Results. - Hojjat Salehinejad; Joseph Barfett; Shahrokh Valaee; Errol Colak; Aren Mnatzakanian; Tim Dowdell (CoRR, 2017)

CenDE: Centroid-Based Differential Evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (CCECE, 2018)

Unsupervised Semantic Segmentation of Kidneys Using Radial Transform Sampling on Limited Images. - Hojjat Salehinejad; Sumeya Naqvi; Errol Colak; Joseph Barfett; Shahrokh Valaee (GlobalSIP, 2018)

Cylindrical Transform: 3D Semantic Segmentation of Kidneys with Limited Annotated Images. - Hojjat Salehinejad; Sumeya Naqvi; Errol Colak; Joseph Barfett; Shahrokh Valaee (GlobalSIP, 2018)

Image Augmentation Using Radial Transform for Training Deep Neural Networks. - Hojjat Salehinejad; Shahrokh Valaee; Tim Dowdell; Joseph Barfett (ICASSP, 2018)

Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks. - Hojjat Salehinejad; Shahrokh Valaee; Tim Dowdell; Errol Colak; Joseph Barfett (ICASSP, 2018)

Recent Advances in Recurrent Neural Networks. - Hojjat Salehinejad; Julianne Baarbe; Sharan Sankar; Joseph Barfett; Errol Colak; Shahrokh Valaee (CoRR, 2018)

Ising Dropout with Node Grouping for Training and Compression of Deep Neural Networks. - Hojjat Salehinejad; Zijian Wang; Shahrokh Valaee (GlobalSIP, 2019)

Privacy Preserving Deep Learning with Distributed Encoders. - Yitian Zhang; Hojjat Salehinejad; Joseph Barfett; Errol Colak; Shahrokh Valaee (GlobalSIP, 2019)

Recurrent Neural Networks for Online Travel Mode Detection. - Elton Figueiredo de S. Soares; Hojjat Salehinejad; Carlos Alberto Vieira Campos; Shahrokh Valaee (GLOBECOM, 2019)

Ising-dropout: A Regularization Method for Training and Compression of Deep Neural Networks. - Hojjat Salehinejad; Shahrokh Valaee (ICASSP, 2019)

Survey of Dropout Methods for Deep Neural Networks. - Alex Labach; Hojjat Salehinejad; Shahrokh Valaee (CoRR, 2019)

Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks. - Hojjat Salehinejad; Errol Colak; Tim Dowdell; Joseph Barfett; Shahrokh Valaee (IEEE Trans. Medical Imaging, 2019)

A Probabilistic Scheme for Representation Learning with Radial Transform Images. - Hojjat Salehinejad; Shahrokh Valaee (ICASSP, 2020)

A Framework for Pruning Deep Neural Networks Using Energy-Based Models. - Hojjat Salehinejad; Shahrokh Valaee (ICASSP, 2021)

Pruning of Convolutional Neural Networks using ising Energy Model. - Hojjat Salehinejad; Shahrokh Valaee (ICASSP, 2021)

Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging. - Hojjat Salehinejad; Edward Ho; Hui-Ming Lin; Priscila Crivellaro; Oleksandra Samorodova; Monica Tafur Arciniegas; Zamir Merali; Suradech Suthiphosuwan; Aditya Bharatha; Kristen W. Yeom; Muhammad Mamdani; Jefferson Wilson; et al. (ISBI, 2021)

A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT. - Hojjat Salehinejad; Jumpei Kitamura; Noah Ditkofsky; Amy Lin; Aditya Bharatha; Suradech Suthiphosuwan; Hui-Ming Lin; Jefferson R. Wilson; Muhammad Mamdani; Errol Colak (CoRR, 2021)

Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT. - Edward H. Lee; Jimmy Zheng; Errol Colak; Maryam Mohammadzadeh; Golnaz Houshmand; Nicholas Bevins; Felipe Kitamura; Emre Altinmakas; Eduardo Pontes Reis; Jae-Kwang Kim; Chad Klochko; Michelle Han; et al. (npj Digit. Medicine, 2021)

LiteHAR: Lightweight Human Activity Recognition from WIFI Signals with Random Convolution Kernels. - Hojjat Salehinejad; Shahrokh Valaee (ICASSP, 2022)

S-Rocket: Selective Random Convolution Kernels for Time Series Classification. - Hojjat Salehinejad; Yang Wang 003; Yuanhao Yu; Jin Tang 005; Shahrokh Valaee (CoRR, 2022)

EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks. - Hojjat Salehinejad; Shahrokh Valaee (IEEE Trans. Neural Networks Learn. Syst., 2022)

Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals. - Navid Hasanzadeh; Shahrokh Valaee; Hojjat Salehinejad (BHI, 2023)

Hand Movement Velocity Estimation From WiFi Channel State Information. - Navid Hasanzadeh; Radomir Djogo; Hojjat Salehinejad; Shahrokh Valaee (CAMSAP, 2023)

Partially Observable Markov Decision Process Model for Dynamic Human Activity Recognition Using Radio Frequency Signals. - Feifan Wang; Derick D. Jones; Laura Walker; Bijan Borah; Hojjat Salehinejad (CASE, 2023)

Multi-Observation Hidden Semi-Markov Model for Photoplethysmogram Signal Semantic Segmentation. - Navid Hasanzadeh; Shahrokh Valaee; Hojjat Salehinejad (ICASSP, 2023)

Representation Learning of Clinical Multivariate Time Series with Random Filter Banks. - Alireza Keshavarzian; Hojjat Salehinejad; Shahrokh Valaee (ICASSP, 2023)

Joint Human Orientation-Activity Recognition Using WIFI Signals for Human-Machine Interaction. - Hojjat Salehinejad; Navid Hasanzadeh; Radomir Djogo; Shahrokh Valaee (ICASSP, 2023)

Dual-Path Model With Fresnel Zone-Based Voting For Human Activity Recognition Using WI-FI. - Radomir Djogo; Hojjat Salehinejad; Navid Hasanzadeh; Shahrokh Valaee (MLSP, 2023)

Contrastive Representation of Channel State Information for Human Body Orientation Recognition in Interaction with Machines. - Hojjat Salehinejad; Navid Hasanzadeh; Radomir Djogo; Shahrokh Valaee (MLSP, 2023)

Robot Motion Prediction by Channel State Information. - Rojin Zandi; Hojjat Salehinejad; Kian Behzad; Elaheh Motamedi; Milad Siami (MLSP, 2023)

Graph Representation of Postoperative Patients for Opioids Refill Prediction: A Real-World Case Study. - Ashok Choudhary; Cornelius A. Thiels; Hojjat Salehinejad (EMBC, 2024)

SMCTL: Subcarrier Masking Contrastive Transfer Learning for Human Gesture Recognition with Passive Wi-Fi Sensing. - Hojjat Salehinejad; Radomir Djogo; Navid Hasanzadeh; Shahrokh Valaee (FG, 2024)

Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments. - Elaheh Motamedi; Kian Behzad; Rojin Zandi; Hojjat Salehinejad; Milad Siami (ICASSP, 2024)

Enhancing Robotic Arm Activity Recognition with Vision Transformers and Wavelet-Transformed Channel State Information. - Rojin Zandi; Kian Behzad; Elaheh Motamedi; Hojjat Salehinejad; Milad Siami (PIMRC, 2024)

RoboMNIST: A Multimodal Dataset for Multi-Robot Activity Recognition Using WiFi Sensing, Video, and Audio. - Kian Behzad; Rojin Zandi; Elaheh Motamedi; Hojjat Salehinejad; Milad Siami (CoRR, 2024)

RoboFiSense: Attention-Based Robotic Arm Activity Recognition With WiFi Sensing. - Rojin Zandi; Kian Behzad; Elaheh Motamedi; Hojjat Salehinejad; Milad Siami (IEEE J. Sel. Top. Signal Process., 2024)

Fresnel Zone-Based Voting With Capsule Networks for Human Activity Recognition From Channel State Information. - Radomir Djogo; Hojjat Salehinejad; Navid Hasanzadeh; Shahrokh Valaee (IEEE Internet Things J., 2024)

Deep Learning on Hester Davis Scores for Inpatient Fall Prediction. - Hojjat Salehinejad; Ricky Rojas; Kingsley Iheasirim; Mohammed Yousufuddin; Bijan Borah (CoRR, 2025)

Synthetic Feature Augmentation Improves Generalization Performance of Language Models. - Ashok Choudhary; Cornelius A. Thiels; Hojjat Salehinejad (CoRR, 2025)