Dat Thanh Tran

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 48

Top Topics

Computational Finance

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj
Cryptocurrency Portfolio Optimization by Neural Networks. CoRR (2023)
Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis
Recognition of Defective Mineral Wool Using Pruned ResNet Models. INDIN (2023)
Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj
Cryptocurrency Portfolio Optimization by Neural Networks. SSCI (2023)
Dat Thanh Tran, Myungbok Kim, Kyeong-Hwa Kim
Seamless Power Management for Decentralized DC Microgrid Under Voltage Sensor Faults. IEEE Access 11 (2023)
Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis
Variational Neural Networks. INNS DLIA@IJCNN (2023)
Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognit. 141 (2023)
Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access 10 (2022)
Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification. CoRR (2022)
Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis
Recognition of Defective Mineral Wool Using Pruned ResNet Models. CoRR (2022)
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)
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Remote Multilinear Compressive Learning With Adaptive Compression. IEEE Internet Things J. 9 (9) (2022)
Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. CoRR (2022)
Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis
Variational Neural Networks. CoRR (2022)
Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis
Variational Neural Networks implementation in Pytorch and JAX. Softw. Impacts 14 (2022)
Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. CoRR (2022)
Dat Thanh Tran, Mehmet Yamaç, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis
Multilinear Compressive Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Knowledge Distillation By Sparse Representation Matching. CoRR (2021)
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Remote Multilinear Compressive Learning with Adaptive Compression. CoRR (2021)
Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Bilinear Input Normalization for Neural Networks in Financial Forecasting. CoRR (2021)
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Multilinear Compressive Learning with Prior Knowledge. CoRR (2020)
Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
Attention-based Neural Bag-of-Features Learning for Sequence Data. CoRR (2020)
Xiaoyue Jiang, Ding Wang, Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Xiaoyi Feng
Generalized Operational Classifiers for Material Identification. MMSP (2020)
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Subset Sampling For Progressive Neural Network Learning. CoRR (2020)
Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
Heterogeneous Multilayer Generalized Operational Perceptron. IEEE Trans. Neural Networks Learn. Syst. 31 (3) (2020)
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Subset Sampling for Progressive Neural Network Learning. ICIP (2020)
Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
Progressive Operational Perceptrons with Memory. Neurocomputing 379 (2020)
Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. CoRR (2020)
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Performance Indicator in Multilinear Compressive Learning. SSCI (2020)
Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. ICPR (2020)
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Performance Indicator in Multilinear Compressive Learning. CoRR (2020)
Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. ICIP (2019)
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) (2019)
Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
: A Python library for Generalized Operational Perceptron algorithms. Knowl. Based Syst. 182 (2019)
Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Data-driven Neural Architecture Learning For Financial Time-series Forecasting. CoRR (2019)
Dat Thanh Tran, Alexandros Iosifidis
Learning to Rank: A Progressive Neural Network Learning Approach. ICASSP (2019)
Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis
Multilinear Compressive Learning. CoRR (2019)
Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj
Improving efficiency in convolutional neural networks with multilinear filters. Neural Networks 105 (2018)
Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
Progressive Operational Perceptron with Memory. CoRR (2018)
Dat Thanh Tran, Alexandros Iosifidis
Heterogeneous Multilayer Generalized Operational Perceptron. CoRR (2018)
Dat Thanh Tran, Toke Thomas Høye, Moncef Gabbouj, Alexandros Iosifidis
Automatic Flower and Visitor Detection System. EUSIPCO (2018)
Anton Muravev, Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis, Serkan Kiranyaz
Acceleration Approaches for Big Data Analysis. ICIP (2018)
Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Tensor Representation in High-Frequency Financial Data for Price Change Prediction. CoRR (2017)
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Multilinear Class-Specific Discriminant Analysis. CoRR (2017)
Dat Thanh Tran, Muhammad-Adeel Waris, Moncef Gabbouj, Alexandros Iosifidis
Sample-based regularization for support vector machine classification. IPTA (2017)
Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj
Improving Efficiency in Convolutional Neural Network with Multilinear Filters. CoRR (2017)
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Multilinear class-specific discriminant analysis. Pattern Recognit. Lett. 100 (2017)
Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj
Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis. CoRR (2017)
Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Tensor representation in high-frequency financial data for price change prediction. SSCI (2017)