Bahareh Nakisa

According to our database, Bahareh Nakisa authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Driver stress levels detection system using hyperparameter optimization.

Mohammad Naim Rastgoo, Bahareh Nakisa, Andry Rakotonirainy, Frédéric Maire, Vinod Chandran

J. Intell. Transp. Syst., July, 2024

AI Apology: A Critical Review of Apology in AI Systems.

Hadassah Harland, Richard Dazeley, Hashini Senaratne, Peter Vamplew, Francisco Cruz, Bahareh Nakisa

CoRR, 2024

VR Based Emotion Recognition Using Deep Multimodal Fusion With Biosignals Across Multiple Anatomical Domains.

Pubudu L. Indrasiri, Bipasha Kashyap, Chandima Kolambahewage, Bahareh Nakisa, Kiran Ijaz, Pubudu N. Pathirana

CoRR, 2024

Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI.

Hadassah Harland, Richard Dazeley, Peter Vamplew, Hashini Senaratne, Bahareh Nakisa, Francisco Cruz

CoRR, 2024

A BERT-Based Summarization approach for depression detection.

Hossein Salahshoor Gavalan, Mohammad Naim Rastgoo, Bahareh Nakisa

CoRR, 2024

Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review.

Javad Hassannataj Joloudari, Mohammad Maftoun, Bahareh Nakisa, Roohallah Alizadehsani, Meisam Yadollahzadeh Tabari

CoRR, 2024

IReCa: Intrinsic Reward-enhanced Context-aware Reinforcement Learning for Human-AI Coordination.

Xin Hao, Bahareh Nakisa, Mohammad Naim Rastgoo, Richard Dazeley

CoRR, 2024

Indoor PM2.5 forecasting and the association with outdoor air pollution: a modelling study based on sensor data in Australia.

Wenhua Yu, Bahareh Nakisa, Seng W. Loke, Svetlana Stevanovic, Yuming Guo, Mohammad Naim Rastgoo

CoRR, 2024

LightPRA: A Lightweight Temporal Convolutional Network for Automatic Physical Rehabilitation Exercise Assessment.

Sara Sardari, Sara Sharifzadeh, Alireza Daneshkhah, Seng W. Loke, Vasile Palade, Michael Duncan, Bahareh Nakisa

Comput. Biol. Medicine, 2024

Innovative Approaches to Gender Classification through Unsupervised Machine Learning and Multi-Activity Fusion.

Himesh Kahanda Koralege, Thang Ngo, Pubudu N. Pathirana, Bahareh Nakisa

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

AI apology: interactive multi-objective reinforcement learning for human-aligned AI.

Hadassah Harland, Richard Dazeley, Bahareh Nakisa, Francisco Cruz, Peter Vamplew

Neural Comput. Appl., August, 2023

Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review.

Sara Sardari, Sara Sharifzadeh, Alireza Daneshkhah, Bahareh Nakisa, Seng W. Loke, Vasile Palade, Michael Duncan

Comput. Biol. Medicine, May, 2023

Driver Emotion Recognition With a Hybrid Attentional Multimodal Fusion Framework.

Luntian Mou, Yiyuan Zhao, Chao Zhou, Bahareh Nakisa, Mohammad Naim Rastgoo, Lei Ma, Tiejun Huang, Baocai Yin, Ramesh C. Jain, Wen Gao

IEEE Trans. Affect. Comput., 2023

Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features.

Angus Maiden, Bahareh Nakisa

CoRR, 2023

A Wearable Multi-Sensor Fusion Approach for Gender Recognition based on Deep Learning.

Supriya Roy, Bahareh Nakisa, Pubudu N. Pathirana, Richard Dazeley

Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

A Multi-Activity Fusion Approach for Gender Recognition based on Human Activity.

Himesh Kahanda Koralege, Thang Ngo, Pubudu N. Pathirana, Bahareh Nakisa

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Audio based depression detection using Convolutional Autoencoder.

Sara Sardari, Bahareh Nakisa, Mohammad Naim Rastgoo, Peter W. Eklund

Expert Syst. Appl., 2022

Technology Acceptance Model: A Case Study of Palm Vein Authentication Technology.

Bahareh Nakisa, Fatemeh Ansarizadeh, Prem Oommen, Sandeep Shrestha

IEEE Access, 2022

2021

Driver stress detection via multimodal fusion using attention-based CNN-LSTM.

Luntian Mou, Chao Zhou, Pengfei Zhao, Bahareh Nakisa, Mohammad Naim Rastgoo, Ramesh C. Jain, Wen Gao

Expert Syst. Appl., 2021

ECG-Based Driver Stress Levels Detection System Using Hyperparameter Optimization.

Mohammad Naim Rastgoo, Bahareh Nakisa, Andry Rakotonirainy, Frédéric Maire, Vinod Chandran

CoRR, 2021

2020

Automatic Emotion Recognition Using Temporal Multimodal Deep Learning.

Bahareh Nakisa, Mohammad Naim Rastgoo, Andry Rakotonirainy, Frédéric Maire, Vinod Chandran

IEEE Access, 2020

2019

Automatic driver stress level classification using multimodal deep learning.

Mohammad Naim Rastgoo, Bahareh Nakisa, Frédéric Maire, Andry Rakotonirainy, Vinod Chandran

Expert Syst. Appl., 2019

A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements.

Mohammad Naim Rastgoo, Bahareh Nakisa, Andry Rakotonirainy, Vinod Chandran, Dian Tjondronegoro

ACM Comput. Surv., 2019

2018

Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors.

Bahareh Nakisa, Mohammad Naim Rastgoo, Dian Tjondronegoro, Vinod Chandran

Expert Syst. Appl., 2018

Long Short Term Memory Hyperparameter Optimization for a Neural Network Based Emotion Recognition Framework.

Bahareh Nakisa, Mohammad Naim Rastgoo, Andry Rakotonirainy, Frédéric Maire, Vinod Chandran

IEEE Access, 2018

2014

A Survey: Particle Swarm Optimization based Algorithms to solve premature convergence Problem.

Bahareh Nakisa, Mohd Zakree Ahmad Nazri, Mohammad Naim Rastgoo, Salwani Abdullah

J. Comput. Sci., 2014