249 citations · 1.5k across the 70 of their papers we have counts for
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Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis
Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen +1
Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market. In the High-Frequency Trading (HFT), fore…
Multilinear Class-Specific Discriminant Analysis
Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
There has been a great effort to transfer linear discriminant techniques that operate on vector data to high-order data, generally referred to as Multilinear Discriminant Analysis…
Improving Efficiency in Convolutional Neural Network with Multilinear Filters
Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj
The excellent performance of deep neural networks has enabled us to solve several automatization problems, opening an era of autonomous devices. However, current deep net architect…
Tensor Representation in High-Frequency Financial Data for Price Change Prediction
Dat Thanh Tran, Martin Magris, Juho Kanniainen +2
Nowadays, with the availability of massive amount of trade data collected, the dynamics of the financial markets pose both a challenge and an opportunity for high frequency traders…
Neural Class-Specific Regression for face verification
Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj
Face verification is a problem approached in the literature mainly using nonlinear class-specific subspace learning techniques. While it has been shown that kernel-based Class-Spec…
Human experts vs. machines in taxa recognition
Johanna Ärje, Jenni Raitoharju, Alexandros Iosifidis +5
The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is s…
INTEL-TUT Dataset for Camera Invariant Color Constancy Research
Caglar Aytekin, Jarno Nikkanen, Moncef Gabbouj
In this paper, we provide a novel dataset designed for camera invariant color constancy research. Camera invariance corresponds to the robustness of an algorithm's performance when…