Sample-based regularization for support vector machine classification. - Dat Thanh Tran; Muhammad-Adeel Waris; Moncef Gabbouj; Alexandros Iosifidis (IPTA, 2017)

Tensor representation in high-frequency financial data for price change prediction. - Dat Thanh Tran; Martin Magris; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (SSCI, 2017)

Improving Efficiency in Convolutional Neural Network with Multilinear Filters. - Dat Thanh Tran; Alexandros Iosifidis; Moncef Gabbouj (CoRR, 2017)

Multilinear class-specific discriminant analysis. - Dat Thanh Tran; Moncef Gabbouj; Alexandros Iosifidis (Pattern Recognit. Lett., 2017)

Automatic Flower and Visitor Detection System. - Dat Thanh Tran; Toke Thomas Høye; Moncef Gabbouj; Alexandros Iosifidis (EUSIPCO, 2018)

Acceleration Approaches for Big Data Analysis. - Anton Muravev; Dat Thanh Tran; Moncef Gabbouj; Alexandros Iosifidis; Serkan Kiranyaz (ICIP, 2018)

Heterogeneous Multilayer Generalized Operational Perceptron. - Dat Thanh Tran; Alexandros Iosifidis (CoRR, 2018)

Progressive Operational Perceptron with Memory. - Dat Thanh Tran; Serkan Kiranyaz; Moncef Gabbouj; Alexandros Iosifidis (CoRR, 2018)

Improving efficiency in convolutional neural networks with multilinear filters. - Dat Thanh Tran; Alexandros Iosifidis; Moncef Gabbouj (Neural Networks, 2018)

Learning to Rank: A Progressive Neural Network Learning Approach. - Dat Thanh Tran; Alexandros Iosifidis (ICASSP, 2019)

Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. - Dat Thanh Tran; Serkan Kiranyaz; Moncef Gabbouj; Alexandros Iosifidis (ICIP, 2019)

Data-driven Neural Architecture Learning For Financial Time-series Forecasting. - Dat Thanh Tran; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (CoRR, 2019)

PyGOP: A Python library for Generalized Operational Perceptron algorithms. - Dat Thanh Tran; Serkan Kiranyaz; Moncef Gabbouj; Alexandros Iosifidis (Knowl. Based Syst., 2019)

Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis. - Dat Thanh Tran; Alexandros Iosifidis; Juho Kanniainen; Moncef Gabbouj (IEEE Trans. Neural Networks Learn. Syst., 2019)

Subset Sampling for Progressive Neural Network Learning. - Dat Thanh Tran; Moncef Gabbouj; Alexandros Iosifidis (ICIP, 2020)

Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. - Dat Thanh Tran; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (ICPR, 2020)

Generalized Operational Classifiers for Material Identification. - Xiaoyue Jiang; Ding Wang; Dat Thanh Tran; Serkan Kiranyaz; Moncef Gabbouj; Xiaoyi Feng (MMSP, 2020)

Performance Indicator in Multilinear Compressive Learning. - Dat Thanh Tran; Moncef Gabbouj; Alexandros Iosifidis (SSCI, 2020)

Multilinear Compressive Learning with Prior Knowledge. - Dat Thanh Tran; Moncef Gabbouj; Alexandros Iosifidis (CoRR, 2020)

Progressive Operational Perceptrons with Memory. - Dat Thanh Tran; Serkan Kiranyaz; Moncef Gabbouj; Alexandros Iosifidis (Neurocomputing, 2020)

Heterogeneous Multilayer Generalized Operational Perceptron. - Dat Thanh Tran; Serkan Kiranyaz; Moncef Gabbouj; Alexandros Iosifidis (IEEE Trans. Neural Networks Learn. Syst., 2020)

Knowledge Distillation By Sparse Representation Matching. - Dat Thanh Tran; Moncef Gabbouj; Alexandros Iosifidis (CoRR, 2021)

Bilinear Input Normalization for Neural Networks in Financial Forecasting. - Dat Thanh Tran; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (CoRR, 2021)

Multilinear Compressive Learning. - Dat Thanh Tran; Mehmet Yamaç; Aysen Degerli; Moncef Gabbouj; Alexandros Iosifidis (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. - Mostafa Shabani; Dat Thanh Tran; Martin Magris; Juho Kanniainen; Alexandros Iosifidis (EUSIPCO, 2022)

Attention-Based Neural Bag-of-Features Learning for Sequence Data. - Dat Thanh Tran; Nikolaos Passalis; Anastasios Tefas; Moncef Gabbouj; Alexandros Iosifidis (IEEE Access, 2022)

How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. - Dat Thanh Tran; Juho Kanniainen; Alexandros Iosifidis (CoRR, 2022)

Remote Multilinear Compressive Learning With Adaptive Compression. - Dat Thanh Tran; Moncef Gabbouj; Alexandros Iosifidis (IEEE Internet Things J., 2022)

Efficient Design, Training, and Deployment of Artificial Neural Networks. - Dat Thanh Tran (2022)

Variational Neural Networks implementation in Pytorch and JAX. - Illia Oleksiienko; Dat Thanh Tran; Alexandros Iosifidis (Softw. Impacts, 2022)

Recognition of Defective Mineral Wool Using Pruned ResNet Models. - Mehdi Rafiei; Dat Thanh Tran; Alexandros Iosifidis (INDIN, 2023)

Variational Neural Networks. - Illia Oleksiienko; Dat Thanh Tran; Alexandros Iosifidis (INNS DLIA@IJCNN, 2023)

Cryptocurrency Portfolio Optimization by Neural Networks. - Quoc Minh Nguyen; Dat Thanh Tran; Juho Kanniainen; Alexandros Iosifidis; Moncef Gabbouj (SSCI, 2023)

Seamless Power Management for Decentralized DC Microgrid Under Voltage Sensor Faults. - Dat Thanh Tran; Myungbok Kim; Kyeong-Hwa Kim (IEEE Access, 2023)

Augmented bilinear network for incremental multi-stock time-series classification. - Mostafa Shabani; Dat Thanh Tran; Juho Kanniainen; Alexandros Iosifidis (Pattern Recognit., 2023)