Dat Thanh Tran

51 papers B 4C 2Misc 1Journal 35Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Corrigendum to "Augmented bilinear network for incremental multi-stock time-series classification" [Pattern Recognit. 141 (2023) 109604]. Pattern Recognit. Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
2025	—	`conf`	Continuous Power Management Strategy of Distributed DC Microgrid Based on Detection of FDI Attack and Sensor Fault Using Kalman Filter. ICECET Hieu Xuan Nguyen, Dat Thanh Tran, Min Kang, Seung-Yong Yeo, Kyeong-Hwa Kim, Myungbok Kim
2025	J	`jnl`	NeuFACO: Neural Focused Ant Colony Optimization for Traveling Salesman Problem. CoRR Dat Thanh Tran, Khai Quang Tran, Khoi Anh Pham, Van Khu Vu, Dong Duc Do
2023	J	`jnl`	Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognit. Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
2023	—	`conf`	Cryptocurrency Portfolio Optimization by Neural Networks. SSCI Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj
2023	J	`jnl`	Cryptocurrency Portfolio Optimization by Neural Networks. CoRR Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj
2023	C	`conf`	Recognition of Defective Mineral Wool Using Pruned ResNet Models. INDIN Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis
2023	J	`jnl`	Seamless Power Management for Decentralized DC Microgrid Under Voltage Sensor Faults. IEEE Access Dat Thanh Tran, Myungbok Kim, Kyeong-Hwa Kim
2023	—	`conf`	Variational Neural Networks. INNS DLIA@IJCNN Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis
2022	J	`jnl`	Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2022	J	`jnl`	Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification. CoRR Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
2022	—	`—`	Efficient Design, Training, and Deployment of Artificial Neural Networks. Dat Thanh Tran
2022	J	`jnl`	How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. CoRR Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
2022	—	`conf`	Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. EUSIPCO Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis
2022	J	`jnl`	Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. CoRR Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis
2022	J	`jnl`	Recognition of Defective Mineral Wool Using Pruned ResNet Models. CoRR Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis
2022	J	`jnl`	Remote Multilinear Compressive Learning With Adaptive Compression. IEEE Internet Things J. Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2022	J	`jnl`	Variational Neural Networks implementation in Pytorch and JAX. Softw. Impacts Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis
2022	J	`jnl`	Variational Neural Networks. CoRR Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis
2021	J	`jnl`	Bilinear Input Normalization for Neural Networks in Financial Forecasting. CoRR Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2021	J	`jnl`	Knowledge Distillation By Sparse Representation Matching. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2021	J	`jnl`	Multilinear Compressive Learning. IEEE Trans. Neural Networks Learn. Syst. Dat Thanh Tran, Mehmet Yamaç, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis
2021	J	`jnl`	Remote Multilinear Compressive Learning with Adaptive Compression. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Attention-based Neural Bag-of-Features Learning for Sequence Data. CoRR Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2020	B	`conf`	Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. ICPR Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. CoRR Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	C	`conf`	Generalized Operational Classifiers for Material Identification. MMSP Xiaoyue Jiang, Ding Wang, Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Xiaoyi Feng
2020	J	`jnl`	Heterogeneous Multilayer Generalized Operational Perceptron. IEEE Trans. Neural Networks Learn. Syst. Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Multilinear Compressive Learning with Prior Knowledge. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2020	—	`conf`	Performance Indicator in Multilinear Compressive Learning. SSCI Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Performance Indicator in Multilinear Compressive Learning. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Progressive Operational Perceptrons with Memory. Neurocomputing Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Subset Sampling For Progressive Neural Network Learning. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2020	B	`conf`	Subset Sampling for Progressive Neural Network Learning. ICIP Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Data-driven Neural Architecture Learning For Financial Time-series Forecasting. CoRR Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	B	`conf`	Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. ICIP Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
2019	Misc	`conf`	Learning to Rank: A Progressive Neural Network Learning Approach. ICASSP Dat Thanh Tran, Alexandros Iosifidis
2019	J	`jnl`	Multilinear Compressive Learning. CoRR Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis. IEEE Trans. Neural Networks Learn. Syst. Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj
2018	B	`conf`	Acceleration Approaches for Big Data Analysis. ICIP Anton Muravev, Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis, Serkan Kiranyaz
2018	—	`conf`	Automatic Flower and Visitor Detection System. EUSIPCO Dat Thanh Tran, Toke Thomas Høye, Moncef Gabbouj, Alexandros Iosifidis
2018	J	`jnl`	Heterogeneous Multilayer Generalized Operational Perceptron. CoRR Dat Thanh Tran, Alexandros Iosifidis
2018	J	`jnl`	Improving efficiency in convolutional neural networks with multilinear filters. Neural Networks Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj
2018	J	`jnl`	Progressive Operational Perceptron with Memory. CoRR Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
2017	J	`jnl`	Improving Efficiency in Convolutional Neural Network with Multilinear Filters. CoRR Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj
2017	J	`jnl`	Multilinear Class-Specific Discriminant Analysis. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2017	J	`jnl`	Multilinear class-specific discriminant analysis. Pattern Recognit. Lett. Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2017	—	`conf`	Sample-based regularization for support vector machine classification. IPTA Dat Thanh Tran, Muhammad-Adeel Waris, Moncef Gabbouj, Alexandros Iosifidis
2017	J	`jnl`	Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis. CoRR Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj
2017	J	`jnl`	Tensor Representation in High-Frequency Financial Data for Price Change Prediction. CoRR Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2017	—	`conf`	Tensor representation in high-frequency financial data for price change prediction. SSCI Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis