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Hojjat Salehinejad
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2020 – today
- 2024
- [j12]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) - [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 - [i28]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) - [i27]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) - 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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last updated on 2024-08-13 20:46 CEST by the dblp team
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