662 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of PotsdamDE34 papers
- University of HelsinkiFI26 papers
- Aalto UniversityFI23 papers
- Tampere UniversityFI18 papers
- Centre National de la Recherche ScientifiqueFR17 papers
- Northeastern UniversityUS17 papers
- University of JyväskyläFI14 papers
- Brown UniversityUS13 papers
- Technical University of MunichDE13 papers
- Aarhus UniversityDK12 papers
- Helsinki Institute of PhysicsFI10 papers
- Charles UniversityCZ9 papers
39 papers · 1 filter
Approximate controllability for Navier--Stokes equations in rectangles under Lions boundary conditions
Duy Phan, Sérgio S. Rodrigues
The Navier--Stokes system, under Lions boundary conditions, is proven to be approximately controllable provided a suitable saturating set does exist. An explicit satu…
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…
Towards optical frequency comb generation in continuous-wave pumped titanium indiffused lithium niobate waveguide resonators
Michael Stefszky, Ville Ulvila, Zeina Abdallah +2
Much progress, both experimentally and theoretically, has recently been made towards optical frequency comb generation from continuously pumped second-order nonlinear systems. Here…
Approximate robust output regulation of boundary control systems
Jukka-Pekka Humaloja, Mikael Kurula, Lassi Paunonen
We extend the internal model principle for systems with boundary control and boundary observation, and construct a robust controller for this class of systems. However, as a conseq…
Wirelessly Powered Crowd Sensing: Joint Power Transfer, Sensing, Compression, and Transmission
Xiaoyang Li, Changsheng You, Sergey Andreev +2
Leveraging massive numbers of sensors in user equipment as well as opportunistic human mobility, mobile crowd sensing (MCS) has emerged as a powerful paradigm, where prolonging bat…
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…
Distribution of shape elongations of main belt asteroids derived from Pan-STARRS1 photometry
H. Cibulková, H. Nortunen, J. Ďurech +10
Context. A lot of photometric data is produced by surveys such as Pan-STARRS, LONEOS, WISE or Catalina. These data are a rich source of information about the physical properties of…
Field emission from self-catalyzed GaAs nanowires
Filippo Giubileo, Antonio Di Bartolomeo, Laura Iemmo +5
We report observation of field emission from self-catalyzed GaAs nanowires grown on Si (111). The measurements are realized inside a scanning electron microscope chamber with nano-…
Facebook drives behavior of passive households in stock markets
Milla Siikanen, Kęstutis Baltakys, Juho Kanniainen +3
Recent studies using data on social media and stock markets have mainly focused on predicting stock returns. Instead of predicting stock price movements, we examine the relation be…
Adaptive Nonlinear RF Cancellation for Improved Isolation in Simultaneous Transmit-Receive Systems
Adnan Kiayani, Muhammad Zeeshan Waheed, Lauri Anttila +7
This paper proposes an active radio frequency (RF) cancellation solution to suppress the transmitter (TX) passband leakage signal in radio transceivers supporting simultaneous tran…
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…
Dynamics of Investor Spanning Trees Around Dot-Com Bubble
Sindhuja Ranganathan, Mikko Kivelä, Juho Kanniainen
We identify temporal investor networks for Nokia stock by constructing networks from correlations between investor-specific net-volumes and analyze changes in the networks around d…
Multilayer Aggregation with Statistical Validation: Application to Investor Networks
Kęstutis Baltakys, Juho Kanniainen, Frank Emmert-Streib
Multilayer networks are attracting growing attention in many fields, including finance. In this paper, we develop a new tractable procedure for multilayer aggregation based on stat…
Enhancement of bulk second-harmonic generation from silicon nitride films by material composition
K. Koskinen, R. Czaplicki, A. Slablab +8
We present a comprehensive tensorial characterization of second-harmonic generation from silicon nitride films with varying composition. The samples were fabricated using plasma-en…
Multigrid-based inversion for volumetric radar imaging with asteroid interior reconstruction as a potential application
Mika Takala, Defne Us, Sampsa Pursiainen
This study concentrates on advancing mathematical and computational methodology for radar tomography imaging in which the unknown volumetric velocity distribution of a wave within…
Sustainable computational science: the ReScience initiative
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre +42
Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results, however computational science lags behind. In…
Robust Regulation of Infinite-Dimensional Port-Hamiltonian Systems
Jukka-Pekka Humaloja, Lassi Paunonen
We will give general sufficient conditions under which a controller achieves robust regulation for a boundary control and observation system. Utilizing these conditions we construc…
Estimation and Mitigation of Channel Non-Reciprocity in Massive MIMO
Orod Raeesi, Ahmet Gokceoglu, Mikko Valkama
Time-division duplex (TDD) based massive MIMO systems rely on the reciprocity of the wireless propagation channels when calculating the downlink precoders based on uplink pilots. H…
Quantitative characterization of pore structure of several biochars with 3D imaging
Jari Hyväluoma, Sampo Kulju, Markus Hannula +3
Pore space characteristics of biochars may vary depending on the used raw material and processing technology. Pore structure has significant effects on the water retention properti…
Benchmark Dataset for Mid-Price Forecasting of Limit Order Book Data with Machine Learning Methods
Adamantios Ntakaris, Martin Magris, Juho Kanniainen +2
Managing the prediction of metrics in high-frequency financial markets is a challenging task. An efficient way is by monitoring the dynamics of a limit order book to identify the i…
The effect of hardware-computed travel-time on localization accuracy in the inversion of experimental (acoustic) waveform data
Mika Takala, Timo D. Hämäläinen, Sampsa Pursiainen
This study aims to advance hardware-level computations for travel-time tomography applications in which the wavelength is close to the diameter of the information that has to be re…
Spectroscopic signatures of different symmetries of the superconducting order parameter in metal-decorated graphene
Timo Saari, Jouko Nieminen, Arun Bansil
Motivated by the recent experiments indicating superconductivity in metal-decorated graphene sheets, we investigate their quasi-particle structure within the framework of an effect…