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ORCIDHojjat Salehinejad
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2020 – today
- 2024
[j13]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): 23309-23321 (2024)- [j12]Rojin Zandi, Kian Behzad, Elaheh Motamedi, Hojjat Salehinejad, Milad Siami:
RoboFiSense: Attention-Based Robotic Arm Activity Recognition With WiFi Sensing. IEEE J. Sel. Top. Signal Process. 18(3): 396-406 (2024) - [c42]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: 1-5 - [c41]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: 6215-6219 - [i29]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 abs/2401.09606 (2024) - [i28]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 abs/2407.06154 (2024) - [i27]Kian Behzad, Rojin Zandi, Elaheh Motamedi, Hojjat Salehinejad, Milad Siami:
RoboMNIST: A Multimodal Dataset for Multi-Robot Activity Recognition Using WiFi Sensing, Video, and Audio. CoRR abs/2408.16703 (2024) - 2023
- [c40]Navid Hasanzadeh, Shahrokh Valaee, Hojjat Salehinejad:
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals. BHI 2023: 1-4 - [c39]Navid Hasanzadeh, Radomir Djogo, Hojjat Salehinejad, Shahrokh Valaee:
Hand Movement Velocity Estimation From WiFi Channel State Information. CAMSAP 2023: 296-300 - [c38]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: 1-6 - [c37]Navid Hasanzadeh, Shahrokh Valaee, Hojjat Salehinejad:
Multi-Observation Hidden Semi-Markov Model for Photoplethysmogram Signal Semantic Segmentation. ICASSP 2023: 1-5 - [c36]Alireza Keshavarzian, Hojjat Salehinejad, Shahrokh Valaee:
Representation Learning of Clinical Multivariate Time Series with Random Filter Banks. ICASSP 2023: 1-5 - [c35]Hojjat Salehinejad, Navid Hasanzadeh, Radomir Djogo, Shahrokh Valaee:
Joint Human Orientation-Activity Recognition Using WIFI Signals for Human-Machine Interaction. ICASSP 2023: 1-5 - [c34]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: 1-6 - [c33]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: 1-6 - [c32]Rojin Zandi, Hojjat Salehinejad, Kian Behzad, Elaheh Motamedi, Milad Siami:
Robot Motion Prediction by Channel State Information. MLSP 2023: 1-6 - [i26]Rojin Zandi, Hojjat Salehinejad, Kian Behzad, Elaheh Motamedi, Milad Siami:
Robot Motion Prediction by Channel State Information. CoRR abs/2307.03829 (2023) - [i25]Navid Hasanzadeh, Shahrokh Valaee, Hojjat Salehinejad:
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals. CoRR abs/2308.02425 (2023) - [i24]Rojin Zandi, Kian Behzad, Elaheh Motamedi, Hojjat Salehinejad, Milad Siami:
RoboFiSense: Attention-Based Robotic Arm Activity Recognition with WiFi Sensing. CoRR abs/2312.15345 (2023) - 2022
- [j11]Hojjat Salehinejad, Shahrokh Valaee:
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5279-5292 (2022) - [c31]Hojjat Salehinejad, Shahrokh Valaee:
LiteHAR: Lightweight Human Activity Recognition from WIFI Signals with Random Convolution Kernels. ICASSP 2022: 4068-4072 - [i23]Hojjat Salehinejad, Shahrokh Valaee:
LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels. CoRR abs/2201.09310 (2022) - [i22]Hojjat Salehinejad, Yang Wang, Yuanhao Yu, Jin Tang, Shahrokh Valaee:
S-Rocket: Selective Random Convolution Kernels for Time Series Classification. CoRR abs/2203.03445 (2022) - [i21]Hojjat Salehinejad, Navid Hasanzadeh, Radomir Djogo, Shahrokh Valaee:
Joint Human Orientation-Activity Recognition Using WiFi Signals for Human-Machine Interaction. CoRR abs/2210.05078 (2022) - 2021
- [j10]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) - [c30]Hojjat Salehinejad, Shahrokh Valaee:
A Framework for Pruning Deep Neural Networks Using Energy-Based Models. ICASSP 2021: 3920-3924 - [c29]Hojjat Salehinejad, Shahrokh Valaee:
Pruning of Convolutional Neural Networks using ising Energy Model. ICASSP 2021: 3935-3939 - [c28]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, Errol Colak:
Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging. ISBI 2021: 1911-1914 - [i20]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 abs/2102.04869 (2021) - [i19]Hojjat Salehinejad, Shahrokh Valaee:
Pruning of Convolutional Neural Networks Using Ising Energy Model. CoRR abs/2102.05437 (2021) - [i18]Hojjat Salehinejad, Shahrokh Valaee:
A Framework For Pruning Deep Neural Networks Using Energy-Based Models. CoRR abs/2102.13188 (2021) - 2020
- [c27]Hojjat Salehinejad, Shahrokh Valaee:
A Probabilistic Scheme for Representation Learning with Radial Transform Images. ICASSP 2020: 4017-4021 - [i17]Hojjat Salehinejad, Shahrokh Valaee:
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks. CoRR abs/2006.04270 (2020) - [i16]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, Errol Colak:
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging. CoRR abs/2010.13336 (2020)
2010 – 2019
- 2019
- [j9]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): 1197-1206 (2019) - [c26]Hojjat Salehinejad, Zijian Wang, Shahrokh Valaee:
Ising Dropout with Node Grouping for Training and Compression of Deep Neural Networks. GlobalSIP 2019: 1-5 - [c25]Yitian Zhang, Hojjat Salehinejad, Joseph Barfett, Errol Colak, Shahrokh Valaee:
Privacy Preserving Deep Learning with Distributed Encoders. GlobalSIP 2019: 1-5 - [c24]Elton Figueiredo de S. Soares, Hojjat Salehinejad, Carlos Alberto Vieira Campos, Shahrokh Valaee:
Recurrent Neural Networks for Online Travel Mode Detection. GLOBECOM 2019: 1-6 - [c23]Hojjat Salehinejad, Shahrokh Valaee:
Ising-dropout: A Regularization Method for Training and Compression of Deep Neural Networks. ICASSP 2019: 3602-3606 - [i15]Hojjat Salehinejad, Shahrokh Valaee:
Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks. CoRR abs/1902.08673 (2019) - [i14]Alex Labach, Hojjat Salehinejad, Shahrokh Valaee:
Survey of Dropout Methods for Deep Neural Networks. CoRR abs/1904.13310 (2019) - 2018
- [c22]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
CenDE: Centroid-Based Differential Evolution. CCECE 2018: 1-4 - [c21]Hojjat Salehinejad, Sumeya Naqvi, Errol Colak, Joseph Barfett, Shahrokh Valaee:
Unsupervised Semantic Segmentation of Kidneys Using Radial Transform Sampling on Limited Images. GlobalSIP 2018: 519-523 - [c20]Hojjat Salehinejad, Sumeya Naqvi, Errol Colak, Joseph Barfett, Shahrokh Valaee:
Cylindrical Transform: 3D Semantic Segmentation of Kidneys with Limited Annotated Images. GlobalSIP 2018: 539-543 - [c19]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: 990-994 - [c18]Hojjat Salehinejad, Shahrokh Valaee, Tim Dowdell, Joseph Barfett:
Image Augmentation Using Radial Transform for Training Deep Neural Networks. ICASSP 2018: 3016-3020 - [i13]Hojjat Salehinejad, Julianne Baarbe, Sharan Sankar, Joseph Barfett, Errol Colak, Shahrokh Valaee:
Recent Advances in Recurrent Neural Networks. CoRR abs/1801.01078 (2018) - [i12]Hojjat Salehinejad, Sumeya Naqvi, Errol Colak, Joseph Barfett, Shahrokh Valaee:
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images. CoRR abs/1809.10245 (2018) - 2017
- [j8]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Micro-differential evolution: Diversity enhancement and a comparative study. Appl. Soft Comput. 52: 812-833 (2017) - [c17]Hojjat Salehinejad, Joseph Barfett, Parham Aarabi, Shahrokh Valaee, Errol Colak, Bruce Gray, Tim Dowdell:
A convolutional neural network for search term detection. PIMRC 2017: 1-6 - [c16]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Opposition-based ensemble micro-differential evolution. SSCI 2017: 1-8 - [i11]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 abs/1708.02238 (2017) - [i10]Hojjat Salehinejad, Joseph Barfett, Shahrokh Valaee, Timothy Dowdell:
Training Neural Networks with Very Little Data - A Draft. CoRR abs/1708.04347 (2017) - [i9]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 abs/1708.09254 (2017) - [i8]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Opposition based Ensemble Micro Differential Evolution. CoRR abs/1709.06909 (2017) - [i7]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 abs/1712.01636 (2017) - 2016
- [c15]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Exploration enhancement in ensemble micro-differential evolution. CEC 2016: 63-70 - [c14]Hojjat Salehinejad, Shahryar Rahnamayan:
Customer shopping pattern prediction: A recurrent neural network approach. SSCI 2016: 1-6 - [c13]Hojjat Salehinejad, Shahryar Rahnamayan:
Effects of centralized population initialization in differential evolution. SSCI 2016: 1-8 - [i6]Hojjat Salehinejad:
Internet of Things for Residential Areas: Toward Personalized Energy Management Using Big Data. CoRR abs/1601.00360 (2016) - [i5]Hojjat Salehinejad:
Learning Over Long Time Lags. CoRR abs/1602.04335 (2016) - 2015
- [j7]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): 59-67 (2015) - [c12]Farhad Pouladi, Hojjat Salehinejad, Amir Mohammad Gilani:
Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics. DeSE 2015: 225-230 - [i4]Hojjat Salehinejad, Farhad Pouladi, Siamak Talebi:
Toward Smart Power Grids: Communication Network Design for Power Grids Synchronization. CoRR abs/1504.07327 (2015) - [i3]Hojjat Salehinejad, Hossein Nezamabadi-pour, Saeid Saryazdi, Fereydoun Farrahi Moghaddam:
Combined A*-Ants Algorithm: A New Multi-Parameter Vehicle Navigation Scheme. CoRR abs/1504.07329 (2015) - [i2]Farhad Pouladi, Hojjat Salehinejad, Amir Mohammad Gilani:
Deep Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics. CoRR abs/1511.02554 (2015) - [i1]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Micro-Differential Evolution: Diversity Enhancement and Comparative Study. CoRR abs/1512.07980 (2015) - 2014
- [j6]Shahryar Rahnamayan, Jude Jesuthasan, Farid Bourennani, Greg F. Naterer, Hojjat Salehinejad:
Centroid Opposition-Based Differential Evolution. Int. J. Appl. Metaheuristic Comput. 5(4): 1-25 (2014) - [j5]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): 262-274 (2014) - [c11]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Type-II opposition-based differential evolution. IEEE Congress on Evolutionary Computation 2014: 1768-1775 - [c10]Shahryar Rahnamayan, Jude Jesuthasan, Farid Bourennani, Hojjat Salehinejad, Greg F. Naterer:
Computing opposition by involving entire population. IEEE Congress on Evolutionary Computation 2014: 1800-1807 - [c9]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh, Stephen Y. Chen:
Micro-differential evolution with vectorized random mutation factor. IEEE Congress on Evolutionary Computation 2014: 2055-2062 - [c8]Hojjat Salehinejad, Robert Zadeh, Ramiro Liscano, Shahryar Rahnamayan:
3D localization in large-scale Wireless Sensor Networks: A micro-differential evolution approach. PIMRC 2014: 1824-1828 - 2013
- [c7]Farhad Pouladi, Amir Mohammad Gilani, Bahareh Nikpour, Hojjat Salehinejad:
Optimum Localization of Wind Turbine Sites Using Opposition Based Ant Colony Optimization. DeSE 2013: 21-26 - 2012
- [j4]Hojjat Salehinejad, Siamak Talebi:
PAPR Reduction of OFDM Signals by Novel Global Harmony Search in PTS Scheme. Int. J. Digit. Multim. Broadcast. 2012: 940849:1-940849:7 (2012) - [j3]Faroukh Koroupi, Siamak Talebi, Hojjat Salehinejad:
Cognitive radio networks spectrum allocation: An ACS perspective. Sci. Iran. 19(3): 767-773 (2012) - [j2]Adel Ahmadi, Siamak Talebi, Hojjat Salehinejad:
A subsampling-predictor associated approach for fast global motion estimation. Sci. Iran. 19(6): 1746-1753 (2012) - 2011
- [c6]Hojjat Salehinejad, Farhad Pouladi, Siamak Talebi:
Intelligent Navigation of Emergency Vehicles. DeSE 2011: 318-323 - [c5]Emad Meimand Kermani, Hojjat Salehinejad, Siamak Talebi:
PAPR reduction of OFDM signals using harmony search algorithm. ICT 2011: 90-94 - 2010
- [j1]Hojjat Salehinejad, Siamak Talebi:
Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System. Appl. Comput. Intell. Soft Comput. 2010: 428270:1-428270:13 (2010) - [c4]Adel Ahmadi, Hojjat Salehinejad, Siamak Talebi, Faroukh Koroupi:
Improved initial value prediction for global motion estimation. EUSIPCO 2010: 2022-2026 - [c3]Hojjat Salehinejad, Siamak Talebi, Farhad Pouladi:
A metaheuristic approach to spectrum assignment for opportunistic spectrum access. ICT 2010: 234-238
2000 – 2009
- 2008
- [c2]Somaieh Mahdavi-Jafari, Hojjat Salehinejad, Siamak Talebi:
A Pistachio Nuts Classification Technique: An ANN Based Signal Processing Scheme. CIMCA/IAWTIC/ISE 2008: 447-451 - [c1]Hojjat Salehinejad, Farhad Pouladi, Siamak Talebi:
A New Route Selection System: Multiparameter Ant Algorithm Based Vehicle Navigation Approach. CIMCA/IAWTIC/ISE 2008: 1089-1094
Coauthor Index
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