| Investigation of different CNN-based models for improved bird sound classification J Xie, K Hu, M Zhu, J Yu, Q Zhu IEEE Access 7, 175353-175361, 2019 | 103 | 2019 |
| Handcrafted features and late fusion with deep learning for bird sound classification J Xie, M Zhu Ecological Informatics 52, 74-81, 2019 | 85 | 2019 |
| Using multi-label classification for acoustic pattern detection and assisting bird species surveys L Zhang, M Towsey, J Xie, J Zhang, P Roe Applied Acoustics 110, 91-98, 2016 | 58 | 2016 |
| Driving maneuver classification: A comparison of feature extraction methods J Xie, AR Hilal, D Kulić IEEE Sensors Journal 18 (12), 4777-4784, 2017 | 51 | 2017 |
| Acoustic classification of australian anurans using syllable features J Xie, M Towsey, A Truskinger, P Eichinski, J Zhang, P Roe 2015 IEEE tenth international conference on intelligent sensors, sensor …, 2015 | 51 | 2015 |
| Bioacoustic signal denoising: a review J Xie, JG Colonna, J Zhang Artificial Intelligence Review 54, 3575-3597, 2021 | 46 | 2021 |
| Acoustic classification of Australian frogs based on enhanced features and machine learning algorithms J Xie, M Towsey, J Zhang, P Roe Applied Acoustics 113, 193-201, 2016 | 41 | 2016 |
| Maneuver-based driving behavior classification based on random forest J Xie, M Zhu IEEE Sensors Letters 3 (11), 1-4, 2019 | 39 | 2019 |
| Investigation of acoustic and visual features for acoustic scene classification J Xie, M Zhu Expert Systems with Applications 126, 20-29, 2019 | 39 | 2019 |
| An intelligent system for estimating frog community calling activity and species richness J Xie, M Towsey, M Zhu, J Zhang, P Roe Ecological Indicators 82, 13-22, 2017 | 38 | 2017 |
| CNN-based driving maneuver classification using multi-sliding window fusion J Xie, K Hu, G Li, Y Guo Expert Systems with Applications 169, 114442, 2021 | 34 | 2021 |
| Adaptive frequency scaled wavelet packet decomposition for frog call classification J Xie, M Towsey, J Zhang, P Roe Ecological Informatics 32, 134-144, 2016 | 34 | 2016 |
| Bioacoustic signal classification in continuous recordings: Syllable-segmentation vs sliding-window J Xie, K Hu, M Zhu, Y Guo Expert Systems with Applications 152, 113390, 2020 | 33 | 2020 |
| Frog call classification: a survey J Xie, M Towsey, J Zhang, P Roe Artificial Intelligence Review 49, 375-391, 2018 | 33 | 2018 |
| Investigation of nearby monitoring station for hourly PM2. 5 forecasting using parallel multi-input 1D-CNN-biLSTM M Zhu, J Xie Expert Systems with Applications 211, 118707, 2023 | 31 | 2023 |
| Data-driven analysis of global research trends in bioacoustics and ecoacoustics from 1991 to 2018 J Xie, K Hu, M Zhu, Y Guo Ecological Informatics 57, 101068, 2020 | 27 | 2020 |
| On loss functions and CNNs for improved bioacoustic signal classification J Xie, K Hu, Y Guo, Q Zhu, J Yu Ecological Informatics 64, 101331, 2021 | 25 | 2021 |
| Driver distraction recognition based on smartphone sensor data J Xie, AR Hilal, D Kulic 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 23 | 2018 |
| An adaptive feature selection schema using improved technical indicators for predicting stock price movements G Ji, J Yu, K Hu, J Xie, X Ji Expert Systems with Applications 200, 116941, 2022 | 19 | 2022 |
| Application of image processing techniques for frog call classification J Xie, M Towsey, J Zhang, X Dong, P Roe 2015 IEEE International Conference on Image Processing (ICIP), 4190-4194, 2015 | 19 | 2015 |
Jinglan ZhangSenior Lecturer of Computer Science, Queensland University of TechnologyBestätigte E-Mail-Adresse bei qut.edu.au
