Hojjat Salehinejad

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 65

Top Topics

Annotated Images

Activity Recognition

Differential Evolution

Top Venues

Publications

Elaheh Motamedi, Kian Behzad, Rojin Zandi, Hojjat Salehinejad, Milad Siami
Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments. CoRR (2024)
Hojjat Salehinejad, Radomir Djogo, Navid Hasanzadeh, Shahrokh Valaee
SMCTL: Subcarrier Masking Contrastive Transfer Learning for Human Gesture Recognition with Passive Wi-Fi Sensing. FG (2024)
Radomir Djogo, Hojjat Salehinejad, Navid Hasanzadeh, Shahrokh Valaee
Fresnel Zone-Based Voting With Capsule Networks for Human Activity Recognition From Channel State Information. IEEE Internet Things J. 11 (13) (2024)
Elaheh Motamedi, Kian Behzad, Rojin Zandi, Hojjat Salehinejad, Milad Siami
Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments. ICASSP (2024)
Rojin Zandi, Kian Behzad, Elaheh Motamedi, Hojjat Salehinejad, Milad Siami
Enhancing Robotic Arm Activity Recognition with Vision Transformers and Wavelet-Transformed Channel State Information. CoRR (2024)
Radomir Djogo, Hojjat Salehinejad, Navid Hasanzadeh, Shahrokh Valaee
Dual-Path Model With Fresnel Zone-Based Voting For Human Activity Recognition Using WI-FI. MLSP (2023)
Hojjat Salehinejad, Navid Hasanzadeh, Radomir Djogo, Shahrokh Valaee
Joint Human Orientation-Activity Recognition Using WIFI Signals for Human-Machine Interaction. ICASSP (2023)
Rojin Zandi, Kian Behzad, Elaheh Motamedi, Hojjat Salehinejad, Milad Siami
RoboFiSense: Attention-Based Robotic Arm Activity Recognition with WiFi Sensing. CoRR (2023)
Hojjat Salehinejad, Navid Hasanzadeh, Radomir Djogo, Shahrokh Valaee
Contrastive Representation of Channel State Information for Human Body Orientation Recognition in Interaction with Machines. MLSP (2023)
Alireza Keshavarzian, Hojjat Salehinejad, Shahrokh Valaee
Representation Learning of Clinical Multivariate Time Series with Random Filter Banks. ICASSP (2023)
Rojin Zandi, Hojjat Salehinejad, Kian Behzad, Elaheh Motamedi, Milad Siami
Robot Motion Prediction by Channel State Information. CoRR (2023)
Navid Hasanzadeh, Shahrokh Valaee, Hojjat Salehinejad
Multi-Observation Hidden Semi-Markov Model for Photoplethysmogram Signal Semantic Segmentation. ICASSP (2023)
Feifan Wang, Derick Jones, Laura Walker, Bijan Borah, Hojjat Salehinejad
Partially Observable Markov Decision Process Model for Dynamic Human Activity Recognition Using Radio Frequency Signals. CASE (2023)
Navid Hasanzadeh, Shahrokh Valaee, Hojjat Salehinejad
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals. CoRR (2023)
Navid Hasanzadeh, Radomir Djogo, Hojjat Salehinejad, Shahrokh Valaee
Hand Movement Velocity Estimation From WiFi Channel State Information. CAMSAP (2023)
Navid Hasanzadeh, Shahrokh Valaee, Hojjat Salehinejad
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals. BHI (2023)
Rojin Zandi, Hojjat Salehinejad, Kian Behzad, Elaheh Motamedi, Milad Siami
Robot Motion Prediction by Channel State Information. MLSP (2023)
Hojjat Salehinejad, Navid Hasanzadeh, Radomir Djogo, Shahrokh Valaee
Joint Human Orientation-Activity Recognition Using WiFi Signals for Human-Machine Interaction. CoRR (2022)
Hojjat Salehinejad, Shahrokh Valaee
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Hojjat Salehinejad, Yang Wang, Yuanhao Yu, Jin Tang, Shahrokh Valaee
S-Rocket: Selective Random Convolution Kernels for Time Series Classification. CoRR (2022)
Hojjat Salehinejad, Shahrokh Valaee
LiteHAR: Lightweight Human Activity Recognition from WIFI Signals with Random Convolution Kernels. ICASSP (2022)
Hojjat Salehinejad, Shahrokh Valaee
LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels. CoRR (2022)
Hojjat Salehinejad, Shahrokh Valaee
A Framework for Pruning Deep Neural Networks Using Energy-Based Models. ICASSP (2021)
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, Sadegh Moradian, Ali Mohammadzadeh, Hashem Sharifian, Hassan Hashemi, Kavous Firouznia, Hossein Ghanaati, Masoumeh Gity, Hakan Dogan, Hojjat Salehinejad, Henrique Alves, Jayne Seekins, Nitamar Abdala, Çetin Atasoy, Hamidreza Pouraliakbar, Majid Maleki, S. Simon Wong, Kristen W. Yeom
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT. npj Digit. Medicine 4 (2021)
Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky, Amy Lin, Aditya Bharatha, Suradech Suthiphosuwan, Hui-Ming Lin, Jefferson R. Wilson, Muhammad Mamdani, Errol Colak
A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT. CoRR (2021)
Hojjat Salehinejad, Edward Ho, Hui-Ming Lin, Priscila Crivellaro, Oleksandra Samorodova, Monica Tafur Arciniegas, Zamir Merali, Suradech Suthiphosuwan, Aditya Bharatha, Kristen Yeom, Muhammad Mamdani, Jefferson Wilson, Errol Colak
Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging. ISBI (2021)
Hojjat Salehinejad, Shahrokh Valaee
A Framework For Pruning Deep Neural Networks Using Energy-Based Models. CoRR (2021)
Hojjat Salehinejad, Shahrokh Valaee
Pruning of Convolutional Neural Networks using ising Energy Model. ICASSP (2021)
Hojjat Salehinejad, Shahrokh Valaee
Pruning of Convolutional Neural Networks Using Ising Energy Model. CoRR (2021)
Hojjat Salehinejad, Shahrokh Valaee
A Probabilistic Scheme for Representation Learning with Radial Transform Images. ICASSP (2020)
Hojjat Salehinejad, Shahrokh Valaee
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks. CoRR (2020)
Hojjat Salehinejad, Edward Ho, Hui-Ming Lin, Priscila Crivellaro, Oleksandra Samorodova, Monica Tafur Arciniegas, Zamir Merali, Suradech Suthiphosuwan, Aditya Bharatha, Kristen Yeom, Muhammad Mamdani, Jefferson Wilson, Errol Colak
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging. CoRR (2020)
Hojjat Salehinejad, Zijian Wang, Shahrokh Valaee
Ising Dropout with Node Grouping for Training and Compression of Deep Neural Networks. GlobalSIP (2019)
Yitian Zhang, Hojjat Salehinejad, Joseph Barfett, Errol Colak, Shahrokh Valaee
Privacy Preserving Deep Learning with Distributed Encoders. GlobalSIP (2019)
Hojjat Salehinejad, Errol Colak, Tim Dowdell, Joseph Barfett, Shahrokh Valaee
Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks. IEEE Trans. Medical Imaging 38 (5) (2019)
Elton Figueiredo de S. Soares, Hojjat Salehinejad, Carlos Alberto Vieira Campos, Shahrokh Valaee
Recurrent Neural Networks for Online Travel Mode Detection. GLOBECOM (2019)
Alex Labach, Hojjat Salehinejad, Shahrokh Valaee
Survey of Dropout Methods for Deep Neural Networks. CoRR (2019)
Hojjat Salehinejad, Shahrokh Valaee
Ising-dropout: A Regularization Method for Training and Compression of Deep Neural Networks. ICASSP (2019)
Hojjat Salehinejad, Shahrokh Valaee
Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks. CoRR (2019)
Hojjat Salehinejad, Julianne Baarbe, Sharan Sankar, Joseph Barfett, Errol Colak, Shahrokh Valaee
Recent Advances in Recurrent Neural Networks. CoRR (2018)
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
CenDE: Centroid-Based Differential Evolution. CCECE (2018)
Hojjat Salehinejad, Sumeya Naqvi, Errol Colak, Joseph Barfett, Shahrokh Valaee
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images. CoRR (2018)
Hojjat Salehinejad, Shahrokh Valaee, Tim Dowdell, Joseph Barfett
Image Augmentation Using Radial Transform for Training Deep Neural Networks. ICASSP (2018)
Hojjat Salehinejad, Sumeya Naqvi, Errol Colak, Joseph Barfett, Shahrokh Valaee
Cylindrical Transform: 3D Semantic Segmentation of Kidneys with Limited Annotated Images. GlobalSIP (2018)
Hojjat Salehinejad, Shahrokh Valaee, Tim Dowdell, Errol Colak, Joseph Barfett
Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks. ICASSP (2018)
Hojjat Salehinejad, Sumeya Naqvi, Errol Colak, Joseph Barfett, Shahrokh Valaee
Unsupervised Semantic Segmentation of Kidneys Using Radial Transform Sampling on Limited Images. GlobalSIP (2018)
Hojjat Salehinejad, Joseph Barfett, Parham Aarabi, Shahrokh Valaee, Errol Colak, Bruce Gray, Tim Dowdell
A Convolutional Neural Network for Search Term Detection-A Draft. CoRR (2017)
Hojjat Salehinejad, Joseph Barfett, Parham Aarabi, Shahrokh Valaee, Errol Colak, Bruce Gray, Tim Dowdell
A convolutional neural network for search term detection. PIMRC (2017)
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
Micro-differential evolution: Diversity enhancement and a comparative study. Appl. Soft Comput. 52 (2017)
Hojjat Salehinejad, Joseph Barfett, Shahrokh Valaee, Timothy Dowdell
Training Neural Networks with Very Little Data - A Draft. CoRR (2017)
Hojjat Salehinejad, Shahrokh Valaee, Tim Dowdell, Errol Colak, Joseph Barfett
Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks. CoRR (2017)
Hojjat Salehinejad, Joseph Barfett, Shahrokh Valaee, Errol Colak, Aren Mnatzakanian, Tim Dowdell
Interpretation of Mammogram and Chest Radiograph Reports using Deep Neural Networks - Preliminary Results. CoRR (2017)
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
Opposition-based ensemble micro-differential evolution. SSCI (2017)
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
Opposition based Ensemble Micro Differential Evolution. CoRR (2017)
Hojjat Salehinejad, Shahryar Rahnamayan
Effects of centralized population initialization in differential evolution. SSCI (2016)
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
Exploration enhancement in ensemble micro-differential evolution. CEC (2016)
Hojjat Salehinejad
Internet of Things for Residential Areas: Toward Personalized Energy Management Using Big Data. CoRR (2016)
Hojjat Salehinejad, Shahryar Rahnamayan
Customer shopping pattern prediction: A recurrent neural network approach. SSCI (2016)
Hojjat Salehinejad
Learning Over Long Time Lags. CoRR (2016)
Hojjat Salehinejad, Siamak Talebi, Masoud RashidiNejad
UWB wireless: a scheme for SCADA communications in offshore wind farms. Int. J. Ultra Wideband Commun. Syst. 3 (2) (2015)
Hojjat Salehinejad, Farhad Pouladi, Siamak Talebi
Toward Smart Power Grids: Communication Network Design for Power Grids Synchronization. CoRR (2015)
Farhad Pouladi, Hojjat Salehinejad, Amir Mohammad Gilani
Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics. DeSE (2015)
Hojjat Salehinejad, Hossein Nezamabadi-pour, Saeid Saryazdi, Fereydoun Farrahi Moghaddam
Combined A*-Ants Algorithm: A New Multi-Parameter Vehicle Navigation Scheme. CoRR (2015)
Farhad Pouladi, Hojjat Salehinejad, Amir Mohammad Gilani
Deep Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics. CoRR (2015)
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
Micro-Differential Evolution: Diversity Enhancement and Comparative Study. CoRR (2015)
Hojjat Salehinejad, Robert Zadeh, Ramiro Liscano, Shahryar Rahnamayan
3D localization in large-scale Wireless Sensor Networks: A micro-differential evolution approach. PIMRC (2014)
Farhad Pouladi, Hojjat Salehinejad, Hamid Sanatnama, Siamak Talebi
Optimum communication infrastructure design for power grids synchronisation in smart grids. Int. J. Bio Inspired Comput. 6 (4) (2014)
Shahryar Rahnamayan, Jude Jesuthasan, Farid Bourennani, Greg F. Naterer, Hojjat Salehinejad
Centroid Opposition-Based Differential Evolution. Int. J. Appl. Metaheuristic Comput. 5 (4) (2014)
Shahryar Rahnamayan, Jude Jesuthasan, Farid Bourennani, Hojjat Salehinejad, Greg F. Naterer
Computing opposition by involving entire population. IEEE Congress on Evolutionary Computation (2014)
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
Type-II opposition-based differential evolution. IEEE Congress on Evolutionary Computation (2014)
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh, Stephen Y. Chen
Micro-differential evolution with vectorized random mutation factor. IEEE Congress on Evolutionary Computation (2014)
Farhad Pouladi, Amir Mohammad Gilani, Bahareh Nikpour, Hojjat Salehinejad
Optimum Localization of Wind Turbine Sites Using Opposition Based Ant Colony Optimization. DeSE (2013)
Adel Ahmadi, Siamak Talebi, Hojjat Salehinejad
A subsampling-predictor associated approach for fast global motion estimation. Sci. Iran. 19 (6) (2012)
Hojjat Salehinejad, Siamak Talebi
PAPR Reduction of OFDM Signals by Novel Global Harmony Search in PTS Scheme. Int. J. Digit. Multim. Broadcast. 2012 (2012)
Faroukh Koroupi, Siamak Talebi, Hojjat Salehinejad
Cognitive radio networks spectrum allocation: An ACS perspective. Sci. Iran. 19 (3) (2012)
Hojjat Salehinejad, Farhad Pouladi, Siamak Talebi
Intelligent Navigation of Emergency Vehicles. DeSE (2011)
Emad Meimand Kermani, Hojjat Salehinejad, Siamak Talebi
PAPR reduction of OFDM signals using harmony search algorithm. ICT (2011)
Hojjat Salehinejad, Siamak Talebi
Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System. Appl. Comput. Intell. Soft Comput. 2010 (2010)
Hojjat Salehinejad, Siamak Talebi, Farhad Pouladi
A metaheuristic approach to spectrum assignment for opportunistic spectrum access. ICT (2010)
Adel Ahmadi, Hojjat Salehinejad, Siamak Talebi, Faroukh Koroupi
Improved initial value prediction for global motion estimation. EUSIPCO (2010)
Hojjat Salehinejad, Farhad Pouladi, Siamak Talebi
A New Route Selection System: Multiparameter Ant Algorithm Based Vehicle Navigation Approach. CIMCA/IAWTIC/ISE (2008)
Somaieh Mahdavi-Jafari, Hojjat Salehinejad, Siamak Talebi
A Pistachio Nuts Classification Technique: An ANN Based Signal Processing Scheme. CIMCA/IAWTIC/ISE (2008)