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Dat Thanh Tran
Dat Thanh Tran
PhD, Department of Computing Sciences, Tampere University
E-mail confirmado em tuni.fi - Página inicial
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Temporal attention-augmented bilinear network for financial time-series data analysis
DT Tran, A Iosifidis, J Kanniainen, M Gabbouj
IEEE transactions on neural networks and learning systems 30 (5), 1407-1418, 2018
2772018
Tensor representation in high-frequency financial data for price change prediction
DT Tran, M Magris, J Kanniainen, M Gabbouj, A Iosifidis
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017
802017
Heterogeneous multilayer generalized operational perceptron
DT Tran, S Kiranyaz, M Gabbouj, A Iosifidis
IEEE transactions on neural networks and learning systems 31 (3), 710-724, 2019
752019
Improving efficiency in convolutional neural networks with multilinear filters
DT Tran, A Iosifidis, M Gabbouj
Neural Networks 105, 328-339, 2018
542018
Multilinear class-specific discriminant analysis
DT Tran, M Gabbouj, A Iosifidis
Pattern Recognition Letters 100, 131-136, 2017
492017
Progressive Operational Perceptrons with Memory
DT Tran, S Kiranyaz, M Gabbouj, A Iosifidis
Neurocomputing 379, 172-181, 2020
392020
Multilinear compressive learning
DT Tran, M Yamaç, A Degerli, M Gabbouj, A Iosifidis
IEEE transactions on neural networks and learning systems 32 (4), 1512-1524, 2020
302020
Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons
DT Tran, S Kiranyaz, M Gabbouj, A Iosifidis
2019 IEEE International Conference on Image Processing (ICIP), 1168-1172, 2019
302019
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series
DT Tran, J Kanniainen, M Gabbouj, A Iosifidis
2020 25th International Conference on Pattern Recognition (ICPR), 7287-7292, 2021
282021
Data-driven Neural Architecture Learning For Financial Time-series Forecasting
DT Tran, J Kanniainen, M Gabbouj, A Iosifidis
arXiv preprint arXiv:1903.06751, 2019
262019
Learning to Rank: A Progressive Neural Network Learning Approach
DT Tran, A Iosifidis
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
192019
Attention-based neural bag-of-features learning for sequence data
DT Tran, N Passalis, A Tefas, M Gabbouj, A Iosifidis
IEEE Access 10, 45542-45552, 2022
172022
PyGOP: A Python library for Generalized Operational Perceptron algorithms
DT Tran, S Kiranyaz, M Gabbouj, A Iosifidis
Knowledge-Based Systems 182, 104801, 2019
162019
Multi-head temporal attention-augmented bilinear network for financial time series prediction
M Shabani, DT Tran, M Magris, J Kanniainen, A Iosifidis
2022 30th European Signal Processing Conference (EUSIPCO), 1487-1491, 2022
142022
Automatic flower detection and classification system using a light-weight convolutional neural network
J Ärje, D Milioris, DT Tran, JU Jepsen, J Raitoharju, M Gabbouj, A Iosifidis, ...
Proceedings of the EUSIPCO Workshop on Signal Processing, Computer Vision …, 2019
132019
Automatic Flower Detection and Classification System Using a Light-Weight Convolutional Neural Network
J Arje, D Milioris, D T. Tran, J Jepsen, J Raitoharju, M Gabbouj, A Iosifidis, ...
European Conference on Signal Processing, 2019
132019
Automatic Flower and Visitor Detection System
DT Tran, TT Høye, M Gabbouj, A Iosifidis
26th European Signal Processing Conference (EUSIPCO), 405-409, 2018
132018
Augmented bilinear network for incremental multi-stock time-series classification
M Shabani, DT Tran, J Kanniainen, A Iosifidis
Pattern Recognition 141, 109604, 2023
122023
Variational neural networks
I Oleksiienko, DT Tran, A Iosifidis
Procedia Computer Science 222, 104-113, 2023
122023
Multilinear Compressive Learning with Prior Knowledge
DT Tran, M Gabbouj, A Iosifidis
arXiv preprint arXiv:2002.07203, 2020
92020
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