Arash Mohammadi

Orcid: 0000-0003-1972-7923

Affiliations:
  • Concordia University, Montreal, QC, Canada
  • University of Toronto, ON, Canada (PhD 2015)
  • Amirkabir University of Technology, Tehran, Iran (former)


According to our database1, Arash Mohammadi authored at least 212 papers between 2008 and 2024.

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Bibliography

2024
Spatial-Temporal Data-Driven Model for Load Altering Attack Detection in Smart Power Distribution Networks.
IEEE Trans. Ind. Informatics, May, 2024

CLSA: Contrastive-Learning-Based Survival Analysis for Popularity Prediction in MEC Networks.
IEEE Internet Things J., February, 2024

Enhancing security for physical layer communication in RIS-aided MIMO-NOMA systems in the presence of an eavesdropper.
Phys. Commun., 2024

BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation.
CoRR, 2024

Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model.
CoRR, 2024

Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks.
CoRR, 2024

ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance.
CoRR, 2024

Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection.
CoRR, 2024

Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks.
CoRR, 2024

TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing.
CoRR, 2024

KnFu: Effective Knowledge Fusion.
CoRR, 2024

FH-TabNet: Multi-Class Familial Hypercholesterolemia Detection via a Multi-Stage Tabular Deep Learning.
CoRR, 2024

HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images.
CoRR, 2024

FedD2S: Personalized Data-Free Federated Knowledge Distillation.
CoRR, 2024

NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction.
CoRR, 2024

Multi-content time-series popularity prediction with Multiple-model Transformers in MEC networks.
Ad Hoc Networks, 2024

MoFLeuR: Motion-based Federated Learning Gesture Recognition.
Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024

Digital AirComp-Assisted Federated Edge Learning with Adaptive Quantization.
Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024

KnFu: Effective Knowledge Fusion.
Proceedings of the 27th International Conference on Information Fusion, 2024

FH-TabNet: Multi-Class Familial Hypercholesterolemia Detection via a Multi-Stage Tabular Deep Learning Network.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis.
Neural Comput. Appl., October, 2023

TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor Contact Tracing in Epidemic Control.
IEEE Internet Things J., April, 2023

Light-Weight CNN-Attention Based Architecture Trained with a Hybrid Objective Function for EMG-Based Human Machine Interfaces.
Trans. Comput. Sci., 2023

AVCA: Autonomous Virtual Cognitive Assessment.
Trans. Comput. Sci., 2023

Secure dynamic event-triggering control for consensus under asynchronous denial of service.
Frontiers Comput. Sci., 2023

Security of Wide-Area Monitoring, Protection, and Control (WAMPAC) Systems of the Smart Grid: A Survey on Challenges and Opportunities.
IEEE Commun. Surv. Tutorials, 2023

A Hybrid VLC/RF Parking Automation System.
IEEE Access, 2023

Spiking Neural Networks for sEMG-Based Hand Gesture Recognition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Detection of Cyber Attacks on Synchro-Phasor Network Targeting Topology Detection Application of Power Distribution Grids.
Proceedings of the IEEE International Conference on Communications, 2023

A Resilience Quantitative Framework for Wide Area Damping Control Against Cyberattacks.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Cross Attention-based Fusion of Deep and Radiomics Features for Lung Nodule Invasiveness Prediction.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

CoPo: Self-supervised Contrastive Learning for Popularity Prediction in MEC Networks.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Light-Weight CNN-Attention Based Architecture for Hand Gesture Recognition Via Electromyography.
Proceedings of the IEEE International Conference on Acoustics, 2023

RL-IFF: Indoor Localization via Reinforcement Learning-Based Information Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2023

HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information.
Proceedings of the IEEE International Conference on Acoustics, 2023

Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023

ViT-Cat: Parallel Vision Transformers With Cross Attention Fusion for Popularity Prediction in MEC Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Model Federated Learning Optimization Based on Multi-Agent Reinforcement Learning.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Online Dynamic Window (ODW) Assisted Two-Stage LSTM Frameworks For Indoor Localization.
J. Signal Process. Syst., 2022

DQLEL: Deep Q-Learning for Energy-Optimized LoS/NLoS UWB Node Selection.
IEEE Trans. Signal Process., 2022

Secure Sampled-Data Observer-Based Control for Wind Turbine Oscillation Under Cyber Attacks.
IEEE Trans. Smart Grid, 2022

A Unified Optimization for Resilient Dynamic Event-Triggering Consensus Under Denial of Service.
IEEE Trans. Cybern., 2022

Fault-Tolerant Periodic Event-Triggered Consensus Under Communication Delay and Multiple Attacks.
IEEE Syst. J., 2022

Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation.
Sensors, 2022

DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis.
Sensors, 2022

Joint Transmission Scheme and Coded Content Placement in Cluster-Centric UAV-Aided Cellular Networks.
IEEE Internet Things J., 2022

AKF-SR: Adaptive Kalman filtering-based successor representation.
Neurocomputing, 2022

COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction.
Expert Syst. Appl., 2022

Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains.
CoRR, 2022

Hybrid Indoor Localization via Reinforcement Learning-based Information Fusion.
CoRR, 2022

Light-weighted CNN-Attention based architecture for Hand Gesture Recognition via ElectroMyography.
CoRR, 2022

TraHGR: Transformer for Hand Gesture Recognition via ElectroMyography.
CoRR, 2022

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark.
CoRR, 2022

BP-Net: Cuff-less and non-invasive blood pressure estimation via a generic deep convolutional architecture.
Biomed. Signal Process. Control., 2022

A Trustworthy Blockchain-Enabled System for Indoor Contact Tracing in Epidemic Control.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Real-Time Co-simulation Platform for Security Analysis of Distribution Automation Systems.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

A Cyber-Physical Resilience-Based Survivability Metric against Topological Cyberattacks.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Content Placement in a Cluster-Centric Mobile Edge Caching Network.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks.
Proceedings of the IEEE International Conference on Communications, 2022

Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2022

Data Shapley Value for Handling Noisy Labels: An Application in Screening Covid-19 Pneumonia from Chest CT Scans.
Proceedings of the IEEE International Conference on Acoustics, 2022

JUNO: Jump-Start Reinforcement Learning-based Node Selection for UWB Indoor Localization.
Proceedings of the IEEE Global Communications Conference, 2022

ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Autonomous Virtual Cognitive Assessment via NLP and Hand Gesture Recognition.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

RQ-CEASE: A Resilient Quantized Collaborative Event-Triggered Average-Consensus Sampled-Data Framework Under Denial of Service Attack.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Sampled-Data Dynamic Event-Triggering Control for Networked Systems Subject to DoS Attacks.
IEEE Trans. Netw. Sci. Eng., 2021

Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications.
IEEE Signal Process. Mag., 2021

Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors].
IEEE Signal Process. Mag., 2021

MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction.
Pattern Recognit., 2021

COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans.
Frontiers Artif. Intell., 2021

BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture.
CoRR, 2021

CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans.
CoRR, 2021

Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis.
CoRR, 2021

TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition.
CoRR, 2021

Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans.
CoRR, 2021

TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor COVID-19 Contact Tracing.
CoRR, 2021

COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans.
CoRR, 2021

Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network.
CoRR, 2021

Joint Transmission Scheme and Coded Content Placement in Cluster-centric UAV-aided Cellular Networks.
CoRR, 2021

Deep Reinforcement Learning for Trustworthy and Time-Varying Connection Scheduling in a Coupled UAV-Based Femtocaching Architecture.
IEEE Access, 2021

Streaming Compression Multimedia Data over WMSNs based on Fairness Cluster-based Routing Protocol.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

SepUnet: Depthwise Separable Convolution Integrated U-Net For MRI Reconstruction.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Makf-Sr: Multi-Agent Adaptive Kalman Filtering-Based Successor Representations.
Proceedings of the IEEE International Conference on Acoustics, 2021

Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Bluetooth Low Energy and CNN-Based Angle of Arrival Localization in Presence of Rayleigh Fading.
Proceedings of the IEEE International Conference on Acoustics, 2021

Online Dynamic Window (ODW) Assisted 2-Stage LSTM Indoor Localization for Smart Phones.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Mobility-Aware Femtocaching Algorithm in D2D Networks Based on Handover.
IEEE Trans. Veh. Technol., 2020

BayesCap: A Bayesian Approach to Brain Tumor Classification Using Capsule Networks.
IEEE Signal Process. Lett., 2020

COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images.
Pattern Recognit. Lett., 2020

Surface EMG-Based Hand Gesture Recognition via Hybrid and Dilated Deep Neural Network Architectures for Neurorobotic Prostheses.
J. Medical Robotics Res., 2020

Formation-containment control using dynamic event-triggering mechanism for multi-agent systems.
IEEE CAA J. Autom. Sinica, 2020

Improving performance of indoor localization using compressive sensing and normal hedge algorithm.
Turkish J. Electr. Eng. Comput. Sci., 2020

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications.
CoRR, 2020

FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography.
CoRR, 2020

COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning.
CoRR, 2020

MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning.
IEEE Access, 2020

A Tripartite Theory of Trustworthiness for Autonomous Systems.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Bluetooth Low Energy-based Angle of Arrival Estimation in Presence of Rayleigh Fading.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

FDIA Detection through an Adaptive Multi-Level Features Classification in Smart Grids.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Multipath Parallel Hybrid Deep Neural Networks Framework for Remaining Useful Life Estimation.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

XceptionTime: Independent Time-Window Xceptiontime Architecture for Hand Gesture Classification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Non-Gaussian BLE-Based Indoor Localization Via Gaussian Sum Filtering Coupled with Wasserstein Distance.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

ND-SMPF: A Noisy Deep Neural Network Fusion Framework for Stock Price Movement Prediction.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Bluetooth Low Energy-based Angle of Arrival Estimation via Switch Antenna Array for Indoor Localization.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

IoT-TD: IoT Dataset for Multiple Model BLE-based Indoor Localization/Tracking.
Proceedings of the 28th European Signal Processing Conference, 2020

Deep Video Canonical Correlation Analysis for Steady State motion Visual Evoked Potential Feature Extraction.
Proceedings of the 28th European Signal Processing Conference, 2020

Orientation-Matched Multiple Modeling for RSSI-based Indoor Localization via BLE Sensors.
Proceedings of the 28th European Signal Processing Conference, 2020

Siamese Neural Networks for EEG-based Brain-computer Interfaces.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

BoostCaps: A Boosted Capsule Network for Brain Tumor Classification.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Dynamic Event-triggered Formation Control for Multi-agent Systems: A Co-design Optimization Approach.
Proceedings of the 2020 American Control Conference, 2020

Distributed Hybrid Kalman Temporal Differences for Reinforcement Learning.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Hybrid Deep Neural Networks for Sparse Surface EMG-Based Hand Gesture Recognition.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student Competition [SP Competitions].
IEEE Signal Process. Mag., 2019

From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and opportunities.
IEEE Signal Process. Mag., 2019

STUPEFY: Set-Valued Box Particle Filtering for Bluetooth Low Energy-Based Indoor Localization.
IEEE Signal Process. Lett., 2019

HMFP-DBRNN: Real-Time Hand Motion Filtering and Prediction via Deep Bidirectional RNN.
IEEE Robotics Autom. Lett., 2019

A performance guaranteed sampled-data event-triggered consensus approach for linear multi-agent systems.
Inf. Sci., 2019

XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification.
CoRR, 2019

A multimodal and hybrid deep neural network model for Remaining Useful Life estimation.
Comput. Ind., 2019

WAKE: Wavelet decomposition coupled with adaptive Kalman filtering for pathological tremor extraction.
Biomed. Signal Process. Control., 2019

Event-Triggered Monitoring/Communication of Inertial Measurement Unit for IoT Applications.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Gaussian Mixture-based Indoor Localization via Bluetooth Low Energy Sensors.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Capsule Networks' Interpretability for Brain Tumor Classification Via Radiomics Analyses.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Belief Condensation Filtering for RSSI-Based State Estimation in Indoor Localization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Quantized Event-triggered Sampled-data Average Consensus with Guaranteed Rate of Convergence.
Proceedings of the IEEE International Conference on Acoustics, 2019

Hybrid Deep Neural Network Model for Remaining Useful Life Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Capsule Networks for Brain Tumor Classification Based on MRI Images and Coarse Tumor Boundaries.
Proceedings of the IEEE International Conference on Acoustics, 2019

Training of Deep Bidirectional Rnns for Hand Motion Filtering Via Multimodal Data Fusion.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Semg-Based Hand Gesture Recognition Via Dilated Convolutional Neural Networks.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Adaptive Subject-Specific Bayesian Spectral Filtering for Single Trial Eeg Classification.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Study on Novel Designs with Reduced Fatigue for Steady State Motion Visual Evoked Potentials.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Multiple Model BLE-based Tracking via Validation of RSSI Fluctuations under Different Conditions.
Proceedings of the 22th International Conference on Information Fusion, 2019

Feature Space Reduction for Single Trial EEG Classification based on Wavelet Decomposition.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Resilient Event-triggered Average Consensus Under Denial of Service Attack and Uncertain Network.
Proceedings of the 6th International Conference on Control, 2019

Performance Constrained Distributed Event-triggered Consensus in Multi-agent Systems.
Proceedings of the 2019 American Control Conference, 2019

2018
CEASE: A Collaborative Event-Triggered Average-Consensus Sampled-Data Framework With Performance Guarantees for Multi-Agent Systems.
IEEE Trans. Signal Process., 2018

Distributed-Graph-Based Statistical Approach for Intrusion Detection in Cyber-Physical Systems.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Guest Editorial Distributed Signal Processing for Security and Privacy in Networked Cyber-Physical Systems.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Iterative Graph-Based Filtering for Image Abstraction and Stylization.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

Ternary-Event-Based State Estimation With Joint Point, Quantized, and Set-Valued Measurements.
IEEE Signal Process. Lett., 2018

Noncircular Attacks on Phasor Measurement Units for State Estimation in Smart Grid.
IEEE J. Sel. Top. Signal Process., 2018

Capsule Networks for Brain Tumor Classification based on MRI Images and Course Tumor Boundaries.
CoRR, 2018

From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities.
CoRR, 2018

Improved Explainability of Capsule Networks: Relevance Path by Agreement.
CoRR, 2018

Attack Detection/Isolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems.
Complex., 2018

Designing Optimal Thresholds for Ternary Event-based State Estimation via Multi Objective Particle Swarm Optimizer.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Analyzing the Effect of Bluetooth Low Energy (BLE) with Randomized MAC Addresses in IoT Applications.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

CARISI: Convolutional Autoencoder-Based Inter-Slice Interpolation of Brain Tumor Volumetric Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Brain Tumor Type Classification via Capsule Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Bayesian Framework to Optimize Double Band Spectra Spatial Filters for Motor Imagery Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

WAKE-BPAT: Wavelet-Based Adaptive Kalman Filtering for Blood Pressure Estimation Via Fusion of Pulse Arrival Times.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multiple-Model and Reduced-Order Kalman Filtering for Pathological Hand Tremor Extraction.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Event-Triggered Particle Filtering Via Diffusion Strategies for Distributed Estimation in Autonomous Systems.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Robust Event-Triggered Consensus Strategy for Linear Multi-Agent Systems with Uncertain Network Topology.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

An Event-Triggered Average Consensus Algorithm with Performance Guarantees for Distributed Sensor Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Improved Explainability of Capsule Networks: Relevance Path by Agreement.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Improving the Performance of Motor Imagery EEG-Based BCIS via an Adaptive Epoch Trimming Mechanism.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Graph-based Dimensionality Reduction of EEG Signals via Functional Clustering and Total Variation Measure for BCI Systems.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Resilient Event-Triggered Consensus with Exponential Convergence in Multi-agent Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Event-Based Estimation With Information-Based Triggering and Adaptive Update.
IEEE Trans. Signal Process., 2017

Multi-Objective Event-triggered Consensus of Linear Multi-agent Systems.
CoRR, 2017

Ternary ECOC classifiers coupled with optimized spatio-spectral patterns for multiclass motor imagery classification.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A late adaptive graph-based edge-aware filtering with iterative weight updating process.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Progressive fusion of multi-rate motor imagery classification for brain computer interfaces.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Real-time and event-triggered object detection, recognition, and tracking.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Data-adaptive color image denoising and enhancement using graph-based filtering.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Event-based consensus for a class of heterogeneous multi-agent systems: An LMI approach.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A multi-rate and auto-adjustable wavelet decomposition framework for pathological hand tremor extraction.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Adaptive dimensionality reduction method using graph-based spectral decomposition for motor imagery-based brain-computer interfaces.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Dynamic estimation strategy for E-BMFLC filters in analyzing pathological hand tremors.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

A guaranteed cost LMI-based approach for event-triggered average consensus in multi-agent networks.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Interactive Gaussian-sum filtering for estimating systematic risk in financial econometrics.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Error correction output codding coupled with the CSP for motor imagery BCI systems.
Proceedings of the 25th European Signal Processing Conference, 2017

Event-based particle filtering with point and set-valued measurements.
Proceedings of the 25th European Signal Processing Conference, 2017

Multi-sensor and Information-Based Event Triggered Distributed Estimation.
Proceedings of the 13th International Conference on Distributed Computing in Sensor Systems, 2017

Data-driven image stylization using graph-based filtering.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
Improper Complex-Valued Bhattacharyya Distance.
IEEE Trans. Neural Networks Learn. Syst., 2016

Multi-Sensor Fusion with Interaction Multiple Model and Chi-Square Test Tolerant Filter.
Sensors, 2016

Secure estimation against complex-valued attacks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Widely-linear Gaussian sum filter.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Diffusive particle filtering for distributed multisensor estimation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Improper Complex-Valued Multiple-Model Adaptive Estimation.
IEEE Trans. Signal Process., 2015

Distributed Consensus + Innovation Particle Filtering for Bearing/Range Tracking With Communication Constraints.
IEEE Trans. Signal Process., 2015

Distributed Widely Linear Multiple-Model Adaptive Estimation.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Complex-Valued Gaussian Sum Filter for Nonlinear Filtering of Non-Gaussian/Non-Circular Noise.
IEEE Signal Process. Lett., 2015

Structure-Induced Complex Kalman Filter for Decentralized Sequential Bayesian Estimation.
IEEE Signal Process. Lett., 2015

A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network.
Signal Process., 2015

Consensus-based distributed dynamic sensor selection in decentralised sensor networks using the posterior Cramér-Rao lower bound.
Signal Process., 2015

2014
Full- and reduced-order distributed Bayesian estimation analytical performance bounds.
IEEE Trans. Aerosp. Electron. Syst., 2014

A distributed particle filter for acoustic source tracking using an acoustic vector sensor network.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

A distributed consensus plus innovation particle filter for networks with communication constraints.
Proceedings of the IEEE International Conference on Acoustics, 2014

Reduced order distributed particle filter for electric power grids.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Distributed Particle Filter Implementation With Intermittent/Irregular Consensus Convergence.
IEEE Trans. Signal Process., 2013

Decentralized Conditional Posterior Cramér-Rao Lower Bound for Nonlinear Distributed Estimation.
IEEE Signal Process. Lett., 2013

Distributed Computation of the Conditional PCRLB for Quantized Decentralized Particle Filters.
CoRR, 2013

Full order nonlinear distributed estimation in intermittently connected networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Decentralized computation of the conditional posterior Cramér-Rao lower bound: Application to adaptive sensor selection.
Proceedings of the IEEE International Conference on Acoustics, 2013

Acoustic source tracking in a reverberant environment using a pairwise synchronous microphone network.
Proceedings of the 16th International Conference on Information Fusion, 2013

Decentralized Bayesian Estimation with Quantized Observations: Theoretical Performance Bounds.
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2013

2012
Full order distributed particle filters for intermittent connections: Feedback from fusion filters to local filters improves performance.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Distributed state estimation for large-scale nonlinear systems: A reduced order particle filter implementation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Distributed posterior Cramér-Rao lower bound for nonlinear sequential Bayesian estimation.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

A constraint sufficient statistics based distributed particle filter for bearing only tracking.
Proceedings of IEEE International Conference on Communications, 2012

Theoretical performance bounds for reduced-order linear and nonlinear distributed estimation.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

Decentralized sensor selection based on the distributed posterior Cramér-Rao lower bound.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Reconstruction of missing features by means of multivariate Laplace distribution (MLD) for noise robust speech recognition.
Expert Syst. Appl., 2011

A consensus/fusion based distributed implementation of the particle filter.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2008
Design of a chaotic neural network by using chaotic nodes and NDRAM network.
Proceedings of the International Joint Conference on Neural Networks, 2008


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