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2020 – today
- 2023
[j12]Dat Thanh Tran
, Myungbok Kim, Kyeong-Hwa Kim:
Seamless Power Management for Decentralized DC Microgrid Under Voltage Sensor Faults. IEEE Access 11: 74627-74640 (2023)- [j11]Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis:
Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognit. 141: 109604 (2023) - [c14]Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis:
Recognition of Defective Mineral Wool Using Pruned ResNet Models. INDIN 2023: 1-6 - [c13]Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks. INNS DLIA@IJCNN 2023: 104-113 - [c12]Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj:
Cryptocurrency Portfolio Optimization by Neural Networks. SSCI 2023: 25-32 - [i22]Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj:
Cryptocurrency Portfolio Optimization by Neural Networks. CoRR abs/2310.01148 (2023) - 2022
- [b1]Dat Thanh Tran:
Efficient Design, Training, and Deployment of Artificial Neural Networks. University of Tampere, Finland, 2022 - [j10]Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access 10: 45542-45552 (2022) - [j9]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Remote Multilinear Compressive Learning With Adaptive Compression. IEEE Internet Things J. 9(9): 6905-6913 (2022) - [j8]Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks implementation in Pytorch and JAX. Softw. Impacts 14: 100431 (2022) - [c11]Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. EUSIPCO 2022: 1487-1491 - [i21]Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. CoRR abs/2201.05459 (2022) - [i20]Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis:
How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. CoRR abs/2203.07922 (2022) - [i19]Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks. CoRR abs/2207.01524 (2022) - [i18]Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis:
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification. CoRR abs/2207.11577 (2022) - [i17]Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis:
Recognition of Defective Mineral Wool Using Pruned ResNet Models. CoRR abs/2211.00466 (2022) - 2021
- [j7]Dat Thanh Tran, Mehmet Yamaç, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Compressive Learning. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1512-1524 (2021) - [i16]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Knowledge Distillation By Sparse Representation Matching. CoRR abs/2103.17012 (2021) - [i15]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Bilinear Input Normalization for Neural Networks in Financial Forecasting. CoRR abs/2109.00983 (2021) - [i14]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Remote Multilinear Compressive Learning with Adaptive Compression. CoRR abs/2109.01184 (2021) - 2020
- [j6]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Progressive Operational Perceptrons with Memory. Neurocomputing 379: 172-181 (2020) - [j5]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Heterogeneous Multilayer Generalized Operational Perceptron. IEEE Trans. Neural Networks Learn. Syst. 31(3): 710-724 (2020) - [c10]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Subset Sampling for Progressive Neural Network Learning. ICIP 2020: 713-717 - [c9]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. ICPR 2020: 7287-7292 - [c8]Xiaoyue Jiang, Ding Wang, Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Xiaoyi Feng:
Generalized Operational Classifiers for Material Identification. MMSP 2020: 1-5 - [c7]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Performance Indicator in Multilinear Compressive Learning. SSCI 2020: 1822-1828 - [i13]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Subset Sampling For Progressive Neural Network Learning. CoRR abs/2002.07141 (2020) - [i12]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Compressive Learning with Prior Knowledge. CoRR abs/2002.07203 (2020) - [i11]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. CoRR abs/2003.00598 (2020) - [i10]Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Attention-based Neural Bag-of-Features Learning for Sequence Data. CoRR abs/2005.12250 (2020) - [i9]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Performance Indicator in Multilinear Compressive Learning. CoRR abs/2009.10456 (2020)
2010 – 2019
- 2019
- [j4]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
PyGOP: A Python library for Generalized Operational Perceptron algorithms. Knowl. Based Syst. 182 (2019) - [j3]Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj:
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1407-1418 (2019) - [c6]Dat Thanh Tran, Alexandros Iosifidis:
Learning to Rank: A Progressive Neural Network Learning Approach. ICASSP 2019: 8355-8359 - [c5]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. ICIP 2019: 1168-1172 - [i8]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data-driven Neural Architecture Learning For Financial Time-series Forecasting. CoRR abs/1903.06751 (2019) - [i7]Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Compressive Learning. CoRR abs/1905.07481 (2019) - 2018
- [j2]Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj:
Improving efficiency in convolutional neural networks with multilinear filters. Neural Networks 105: 328-339 (2018) - [c4]Dat Thanh Tran, Toke Thomas Høye, Moncef Gabbouj, Alexandros Iosifidis:
Automatic Flower and Visitor Detection System. EUSIPCO 2018: 405-409 - [c3]Anton Muravev, Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis, Serkan Kiranyaz:
Acceleration Approaches for Big Data Analysis. ICIP 2018: 311-315 - [i6]Dat Thanh Tran, Alexandros Iosifidis:
Heterogeneous Multilayer Generalized Operational Perceptron. CoRR abs/1804.05093 (2018) - [i5]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Progressive Operational Perceptron with Memory. CoRR abs/1808.06377 (2018) - 2017
- [j1]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear class-specific discriminant analysis. Pattern Recognit. Lett. 100: 131-136 (2017) - [c2]Dat Thanh Tran, Muhammad-Adeel Waris, Moncef Gabbouj, Alexandros Iosifidis:
Sample-based regularization for support vector machine classification. IPTA 2017: 1-6 - [c1]Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Tensor representation in high-frequency financial data for price change prediction. SSCI 2017: 1-7 - [i4]Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Tensor Representation in High-Frequency Financial Data for Price Change Prediction. CoRR abs/1709.01268 (2017) - [i3]Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj:
Improving Efficiency in Convolutional Neural Network with Multilinear Filters. CoRR abs/1709.09902 (2017) - [i2]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Class-Specific Discriminant Analysis. CoRR abs/1710.10695 (2017) - [i1]Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj:
Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis. CoRR abs/1712.00975 (2017)
Coauthor Index
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