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2020 – today
- 2024
[j14]Sara Sardari, Sara Sharifzadeh, Alireza Daneshkhah, Seng W. Loke, Vasile Palade, Michael Duncan, Bahareh Nakisa:
LightPRA: A Lightweight Temporal Convolutional Network for Automatic Physical Rehabilitation Exercise Assessment. Comput. Biol. Medicine 173: 108382 (2024)- [j13]Mohammad Naim Rastgoo, Bahareh Nakisa, Andry Rakotonirainy
, Frédéric Maire, Vinod Chandran:
Driver stress levels detection system using hyperparameter optimization. J. Intell. Transp. Syst. 28(4): 443-458 (2024) - [i6]Wenhua Yu, Bahareh Nakisa, Seng W. Loke, Svetlana Stevanovic, Yuming Guo, Mohammad Naim Rastgoo:
Indoor PM2.5 forecasting and the association with outdoor air pollution: a modelling study based on sensor data in Australia. CoRR abs/2405.07404 (2024) - [i5]Xin Hao, Bahareh Nakisa, Mohammad Naim Rastgoo, Richard Dazeley:
IReCa: Intrinsic Reward-enhanced Context-aware Reinforcement Learning for Human-AI Coordination. CoRR abs/2408.07877 (2024) - [i4]Javad Hassannataj Joloudari, Mohammad Maftoun, Bahareh Nakisa, Roohallah Alizadehsani, Meisam Yadollahzadeh Tabari:
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review. CoRR abs/2409.07493 (2024) - [i3]Hossein Salahshoor Gavalan, Mohammad Naim Rastgoo, Bahareh Nakisa:
A BERT-Based Summarization approach for depression detection. CoRR abs/2409.08483 (2024) - 2023
- [j12]Sara Sardari, Sara Sharifzadeh, Alireza Daneshkhah, Bahareh Nakisa, Seng W. Loke, Vasile Palade, Michael Duncan:
Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review. Comput. Biol. Medicine 158: 106835 (2023) - [j11]Hadassah Harland, Richard Dazeley, Bahareh Nakisa, Francisco Cruz, Peter Vamplew:
AI apology: interactive multi-objective reinforcement learning for human-aligned AI. Neural Comput. Appl. 35(23): 16917-16930 (2023) - [j10]Luntian Mou, Yiyuan Zhao, Chao Zhou, Bahareh Nakisa, Mohammad Naim Rastgoo, Lei Ma, Tiejun Huang, Baocai Yin, Ramesh C. Jain, Wen Gao:
Driver Emotion Recognition With a Hybrid Attentional Multimodal Fusion Framework. IEEE Trans. Affect. Comput. 14(4): 2970-2981 (2023) - [c2]Himesh Kahanda Koralege, Thang Ngo, Pubudu N. Pathirana, Bahareh Nakisa:
A Multi-Activity Fusion Approach for Gender Recognition based on Human Activity. EMBC 2023: 1-4 - [c1]Supriya Roy, Bahareh Nakisa, Pubudu N. Pathirana, Richard Dazeley:
A Wearable Multi-Sensor Fusion Approach for Gender Recognition based on Deep Learning. ICBRA 2023: 114-119 - [i2]Angus Maiden, Bahareh Nakisa:
Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features. CoRR abs/2308.06197 (2023) - 2022
- [j9]Bahareh Nakisa, Fatemeh Ansarizadeh, Prem Oommen, Sandeep Shrestha:
Technology Acceptance Model: A Case Study of Palm Vein Authentication Technology. IEEE Access 10: 120436-120449 (2022) - [j8]Sara Sardari, Bahareh Nakisa, Mohammad Naim Rastgoo, Peter W. Eklund:
Audio based depression detection using Convolutional Autoencoder. Expert Syst. Appl. 189: 116076 (2022) - 2021
- [j7]Luntian Mou, Chao Zhou, Pengfei Zhao, Bahareh Nakisa, Mohammad Naim Rastgoo, Ramesh C. Jain, Wen Gao:
Driver stress detection via multimodal fusion using attention-based CNN-LSTM. Expert Syst. Appl. 173: 114693 (2021) - [i1]Mohammad Naim Rastgoo, Bahareh Nakisa, Andry Rakotonirainy, Frédéric Maire, Vinod Chandran:
ECG-Based Driver Stress Levels Detection System Using Hyperparameter Optimization. CoRR abs/2101.00165 (2021) - 2020
- [j6]Bahareh Nakisa, Mohammad Naim Rastgoo, Andry Rakotonirainy, Frédéric Maire, Vinod Chandran:
Automatic Emotion Recognition Using Temporal Multimodal Deep Learning. IEEE Access 8: 225463-225474 (2020)
2010 – 2019
- 2019
- [j5]Mohammad Naim Rastgoo, Bahareh Nakisa, Andry Rakotonirainy, Vinod Chandran, Dian Tjondronegoro:
A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements. ACM Comput. Surv. 51(5): 88:1-88:35 (2019) - [j4]Mohammad Naim Rastgoo, Bahareh Nakisa, Frédéric Maire, Andry Rakotonirainy, Vinod Chandran:
Automatic driver stress level classification using multimodal deep learning. Expert Syst. Appl. 138 (2019) - 2018
- [j3]Bahareh Nakisa, Mohammad Naim Rastgoo, Andry Rakotonirainy, Frédéric Maire, Vinod Chandran:
Long Short Term Memory Hyperparameter Optimization for a Neural Network Based Emotion Recognition Framework. IEEE Access 6: 49325-49338 (2018) - [j2]Bahareh Nakisa, Mohammad Naim Rastgoo, Dian Tjondronegoro, Vinod Chandran:
Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors. Expert Syst. Appl. 93: 143-155 (2018) - 2014
- [j1]Bahareh Nakisa, Mohd Zakree Ahmad Nazri, Mohammad Naim Rastgoo, Salwani Abdullah:
A Survey: Particle Swarm Optimization based Algorithms to solve premature convergence Problem. J. Comput. Sci. 10(9): 1758-1765 (2014)
Coauthor Index
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last updated on 2024-10-22 21:16 CEST by the dblp team
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