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TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems

Engineering applications of artificial intelligence, 2022-09, Vol.114, p.105095, Article 105095

2022

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Deep learning-based election results prediction using Twitter activity

Soft computing (Berlin, Germany), 2022-08, Vol.26 (16), p.7535-7543

2022

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Relaxed Dijkstra and A with linear complexity for robot path planning problems in large-scale grid environments

Soft computing (Berlin, Germany), 2016-10, Vol.20 (10), p.4149-4171

2016

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Move and Improve: a Market-Based Mechanism for the Multiple Depot Multiple Travelling Salesmen Problem

Journal of intelligent & robotic systems, 2017-02, Vol.85 (2), p.307-330

2017

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On the Adequacy of Tabu Search for Global Robot Path Planning Problem in Grid Environments

Procedia computer science, 2014, Vol.32, p.604-613

2014

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Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH), 2022, p.220-225

2022

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Parking Analytics Framework using Deep Learning

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH), 2022, p.200-205

2022

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A Hybrid Deep Learning Model for UAVs Detection in Day and Night Dual Visions

2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), 2021, p.221-231

2021

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Deep Neural Network based Secured Control of Flying Vehicle in Urban Environment

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH), 2022, p.172-177

2022

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PSO-based analysis of Echo State Network parameters for time series forecasting

Applied soft computing, 2017-06, Vol.55, p.211-225

2017

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Unsupervised Learning in Reservoir Computing for EEG-Based Emotion Recognition

IEEE transactions on affective computing, 2022-04, Vol.13 (2), p.972-984

2022

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The Affective Tutoring System

Expert systems with applications, 2010-04, Vol.37 (4), p.3013-3023

2010

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Existence and Uniqueness of Pseudo Almost-Periodic Solutions of Recurrent Neural Networks With Time-Varying Coefficients and Mixed Delays

IEEE transaction on neural networks and learning systems, 2012-01, Vol.23 (1), p.109-118

2012

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Novel single and multi-layer echo-state recurrent autoencoders for representation learning

Engineering applications of artificial intelligence, 2022-09, Vol.114, p.105051, Article 105051

2022

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Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations

Neurocomputing (Amsterdam), 2019-05, Vol.341, p.195-211

2019

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Multi-agent architecture for Multi‐objective optimization of Flexible Neural Tree

Neurocomputing (Amsterdam), 2016-11, Vol.214, p.307-316

2016

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Optimized Echo State Network with Intrinsic Plasticity for EEG-Based Emotion Recognition

Neural Information Processing, p.718-727

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A MULTI-AGENT BASED SYSTEM FOR SENTIMENT ANALYSIS OF USER-GENERATED CONTENT

International journal on artificial intelligence tools, 2013-04, Vol.22 (2), p.1350004

2013

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Automatic environmental sound concepts discovery for video retrieval

International journal of multimedia information retrieval, 2016-06, Vol.5 (2), p.105-115

2016

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An Approach for Incorporating the Usability Optimization Process into the Model Transformation

Intelligent Systems Design and Applications, 2017, Vol.557, p.879-888

2017

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Recurrent Flexible Neural Tree Model for Time Series Prediction

Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2017, Vol.552, p.58-67

2017

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Learning to Walk Using a Recurrent Neural Network with Time Delay

Artificial Neural Networks and Machine Learning – ICANN 2013, p.511-518

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Biped robot control using particle swarm optimization

2010 IEEE International Conference on Systems, Man and Cybernetics, 2010, p.506-512

2010

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Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays

Artificial Neural Networks and Machine Learning – ICANN 2013, p.74-81

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EEG feature learning with Intrinsic Plasticity based Deep Echo State Network

2020 International Joint Conference on Neural Networks (IJCNN), 2020, p.1-8

2020

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TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems

Deep learning-based election results prediction using Twitter activity

Relaxed Dijkstra and A with linear complexity for robot path planning problems in large-scale grid environments

Move and Improve: a Market-Based Mechanism for the Multiple Depot Multiple Travelling Salesmen Problem

On the Adequacy of Tabu Search for Global Robot Path Planning Problem in Grid Environments

Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach

Parking Analytics Framework using Deep Learning

A Hybrid Deep Learning Model for UAVs Detection in Day and Night Dual Visions

Deep Neural Network based Secured Control of Flying Vehicle in Urban Environment

PSO-based analysis of Echo State Network parameters for time series forecasting

Unsupervised Learning in Reservoir Computing for EEG-Based Emotion Recognition

The Affective Tutoring System

Existence and Uniqueness of Pseudo Almost-Periodic Solutions of Recurrent Neural Networks With Time-Varying Coefficients and Mixed Delays

Novel single and multi-layer echo-state recurrent autoencoders for representation learning

Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations

Multi-agent architecture for Multi‐objective optimization of Flexible Neural Tree

Optimized Echo State Network with Intrinsic Plasticity for EEG-Based Emotion Recognition

A MULTI-AGENT BASED SYSTEM FOR SENTIMENT ANALYSIS OF USER-GENERATED CONTENT

Automatic environmental sound concepts discovery for video retrieval

An Approach for Incorporating the Usability Optimization Process into the Model Transformation

Recurrent Flexible Neural Tree Model for Time Series Prediction

Learning to Walk Using a Recurrent Neural Network with Time Delay

Biped robot control using particle swarm optimization

Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays

EEG feature learning with Intrinsic Plasticity based Deep Echo State Network

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