Hojjat Salehinejad

Orcid: 0000-0002-9636-863X

According to our database1, Hojjat Salehinejad authored at least 65 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments.
CoRR, 2024

2023
RoboFiSense: Attention-Based Robotic Arm Activity Recognition with WiFi Sensing.
CoRR, 2023

Robot Motion Prediction by Channel State Information.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Contrastive Representation of Channel State Information for Human Body Orientation Recognition in Interaction with Machines.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Dual-Path Model With Fresnel Zone-Based Voting For Human Activity Recognition Using WI-FI.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Joint Human Orientation-Activity Recognition Using WIFI Signals for Human-Machine Interaction.
Proceedings of the IEEE International Conference on Acoustics, 2023

Representation Learning of Clinical Multivariate Time Series with Random Filter Banks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Observation Hidden Semi-Markov Model for Photoplethysmogram Signal Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Partially Observable Markov Decision Process Model for Dynamic Human Activity Recognition Using Radio Frequency Signals.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Hand Movement Velocity Estimation From WiFi Channel State Information.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

S-Rocket: Selective Random Convolution Kernels for Time Series Classification.
CoRR, 2022

LiteHAR: Lightweight Human Activity Recognition from WIFI Signals with Random Convolution Kernels.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT.
npj Digit. Medicine, 2021

A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT.
CoRR, 2021

Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Pruning of Convolutional Neural Networks using ising Energy Model.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Framework for Pruning Deep Neural Networks Using Energy-Based Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Probabilistic Scheme for Representation Learning with Radial Transform Images.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2019

Survey of Dropout Methods for Deep Neural Networks.
CoRR, 2019

Ising-dropout: A Regularization Method for Training and Compression of Deep Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Recurrent Neural Networks for Online Travel Mode Detection.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Privacy Preserving Deep Learning with Distributed Encoders.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Ising Dropout with Node Grouping for Training and Compression of Deep Neural Networks.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Recent Advances in Recurrent Neural Networks.
CoRR, 2018

Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Image Augmentation Using Radial Transform for Training Deep Neural Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Cylindrical Transform: 3D Semantic Segmentation of Kidneys with Limited Annotated Images.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Unsupervised Semantic Segmentation of Kidneys Using Radial Transform Sampling on Limited Images.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

CenDE: Centroid-Based Differential Evolution.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2017
Interpretation of Mammogram and Chest Radiograph Reports using Deep Neural Networks - Preliminary Results.
CoRR, 2017

Training Neural Networks with Very Little Data - A Draft.
CoRR, 2017

A Convolutional Neural Network for Search Term Detection-A Draft.
CoRR, 2017

Micro-differential evolution: Diversity enhancement and a comparative study.
Appl. Soft Comput., 2017

Opposition-based ensemble micro-differential evolution.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A convolutional neural network for search term detection.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

2016
Learning Over Long Time Lags.
CoRR, 2016

Internet of Things for Residential Areas: Toward Personalized Energy Management Using Big Data.
CoRR, 2016

Effects of centralized population initialization in differential evolution.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Customer shopping pattern prediction: A recurrent neural network approach.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Exploration enhancement in ensemble micro-differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
UWB wireless: a scheme for SCADA communications in offshore wind farms.
Int. J. Ultra Wideband Commun. Syst., 2015

Toward Smart Power Grids: Communication Network Design for Power Grids Synchronization.
CoRR, 2015

Combined A*-Ants Algorithm: A New Multi-Parameter Vehicle Navigation Scheme.
CoRR, 2015

Deep Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics.
CoRR, 2015

Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015

2014
Optimum communication infrastructure design for power grids synchronisation in smart grids.
Int. J. Bio Inspired Comput., 2014

Centroid Opposition-Based Differential Evolution.
Int. J. Appl. Metaheuristic Comput., 2014

3D localization in large-scale Wireless Sensor Networks: A micro-differential evolution approach.
Proceedings of the 25th IEEE Annual International Symposium on Personal, 2014

Micro-differential evolution with vectorized random mutation factor.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Type-II opposition-based differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Computing opposition by involving entire population.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Optimum Localization of Wind Turbine Sites Using Opposition Based Ant Colony Optimization.
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013

2012
Cognitive radio networks spectrum allocation: An ACS perspective.
Sci. Iran., 2012

A subsampling-predictor associated approach for fast global motion estimation.
Sci. Iran., 2012

PAPR Reduction of OFDM Signals by Novel Global Harmony Search in PTS Scheme.
Int. J. Digit. Multim. Broadcast., 2012

2011
PAPR reduction of OFDM signals using harmony search algorithm.
Proceedings of the 18th International Conference on Telecommunications, 2011

Intelligent Navigation of Emergency Vehicles.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

2010
Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System.
Appl. Comput. Intell. Soft Comput., 2010

A metaheuristic approach to spectrum assignment for opportunistic spectrum access.
Proceedings of the 17th International Conference on Telecommunications, 2010

Improved initial value prediction for global motion estimation.
Proceedings of the 18th European Signal Processing Conference, 2010

2008
A New Route Selection System: Multiparameter Ant Algorithm Based Vehicle Navigation Approach.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

A Pistachio Nuts Classification Technique: An ANN Based Signal Processing Scheme.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008


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