2023
Augmented bilinear network for incremental multi-stock time-series classification.
Pattern Recognit., September, 2023
Seamless Power Management for Decentralized DC Microgrid Under Voltage Sensor Faults.
IEEE Access, 2023
Cryptocurrency Portfolio Optimization by Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Variational Neural Networks.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023
Recognition of Defective Mineral Wool Using Pruned ResNet Models.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023
2022
Variational Neural Networks implementation in Pytorch and JAX.
Softw. Impacts, December, 2022
Efficient Design, Training, and Deployment of Artificial Neural Networks.
PhD thesis, 2022
Remote Multilinear Compressive Learning With Adaptive Compression.
IEEE Internet Things J., 2022
How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective.
CoRR, 2022
Attention-Based Neural Bag-of-Features Learning for Sequence Data.
IEEE Access, 2022
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction.
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Multilinear Compressive Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021
Bilinear Input Normalization for Neural Networks in Financial Forecasting.
CoRR, 2021
Knowledge Distillation By Sparse Representation Matching.
CoRR, 2021
2020
Heterogeneous Multilayer Generalized Operational Perceptron.
IEEE Trans. Neural Networks Learn. Syst., 2020
Progressive Operational Perceptrons with Memory.
Neurocomputing, 2020
Multilinear Compressive Learning with Prior Knowledge.
CoRR, 2020
Performance Indicator in Multilinear Compressive Learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Generalized Operational Classifiers for Material Identification.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Subset Sampling for Progressive Neural Network Learning.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2019
<i>PyGOP</i>: A Python library for Generalized Operational Perceptron algorithms.
Knowl. Based Syst., 2019
Data-driven Neural Architecture Learning For Financial Time-series Forecasting.
CoRR, 2019
Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Learning to Rank: A Progressive Neural Network Learning Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Improving efficiency in convolutional neural networks with multilinear filters.
Neural Networks, 2018
Progressive Operational Perceptron with Memory.
CoRR, 2018
Heterogeneous Multilayer Generalized Operational Perceptron.
CoRR, 2018
Acceleration Approaches for Big Data Analysis.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Automatic Flower and Visitor Detection System.
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Multilinear class-specific discriminant analysis.
Pattern Recognit. Lett., 2017
Improving Efficiency in Convolutional Neural Network with Multilinear Filters.
CoRR, 2017
Tensor representation in high-frequency financial data for price change prediction.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Sample-based regularization for support vector machine classification.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017