Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Nousi, P."'
Autor:
Koloniari, Alexandra E., Koursoumpa, Evdokia C., Nousi, Paraskevi, Lampropoulos, Paraskevas, Passalis, Nikolaos, Tefas, Anastasios, Stergioulas, Nikolaos
The detection of gravitational waves has revolutionized our understanding of the universe, offering unprecedented insights into its dynamics. A major goal of gravitational wave data analysis is to speed up the detection and parameter estimation proce
Externí odkaz:
http://arxiv.org/abs/2407.07820
Autor:
Nousi, Paraskevi, Avramelou, Loukia, Rodinos, Georgios, Tzelepi, Maria, Manousis, Theodoros, Tsampazis, Konstantinos, Stefanidis, Kyriakos, Spanos, Dimitris, Kirtas, Manos, Tosidis, Pavlos, Tsantekidis, Avraam, Passalis, Nikolaos, Tefas, Anastasios
Financial portfolio management describes the task of distributing funds and conducting trading operations on a set of financial assets, such as stocks, index funds, foreign exchange or cryptocurrencies, aiming to maximize the profit while minimizing
Externí odkaz:
http://arxiv.org/abs/2309.16679
Autor:
Tzelepi, Maria, Symeonidis, Charalampos, Nousi, Paraskevi, Kakaletsis, Efstratios, Manousis, Theodoros, Tosidis, Pavlos, Nikolaidis, Nikos, Tefas, Anastasios
Energy time-series analysis describes the process of analyzing past energy observations and possibly external factors so as to predict the future. Different tasks are involved in the general field of energy time-series analysis and forecasting, with
Externí odkaz:
http://arxiv.org/abs/2306.09129
Autor:
Oleksiienko, Illia, Nousi, Paraskevi, Passalis, Nikolaos, Tefas, Anastasios, Iosifidis, Alexandros
Uncertainty estimation is an important task for critical problems, such as robotics and autonomous driving, because it allows creating statistically better perception models and signaling the model's certainty in its predictions to the decision metho
Externí odkaz:
http://arxiv.org/abs/2302.05914
Autor:
Nousi, Paraskevi, Koloniari, Alexandra E., Passalis, Nikolaos, Iosif, Panagiotis, Stergioulas, Nikolaos, Tefas, Anastasios
Traditionally, gravitational waves are detected with techniques such as matched filtering or unmodeled searches based on wavelets. However, in the case of generic black hole binaries with non-aligned spins, if one wants to explore the whole parameter
Externí odkaz:
http://arxiv.org/abs/2211.01520
In this paper we evaluate the impact of domain shift on human detection models trained on well known object detection datasets when deployed on data outside the distribution of the training set, as well as propose methods to alleviate such phenomena
Externí odkaz:
http://arxiv.org/abs/2209.13202
Autor:
Schäfer, Marlin B., Zelenka, Ondřej, Nitz, Alexander H., Wang, He, Wu, Shichao, Guo, Zong-Kuan, Cao, Zhoujian, Ren, Zhixiang, Nousi, Paraskevi, Stergioulas, Nikolaos, Iosif, Panagiotis, Koloniari, Alexandra E., Tefas, Anastasios, Passalis, Nikolaos, Salemi, Francesco, Vedovato, Gabriele, Klimenko, Sergey, Mishra, Tanmaya, Brügmann, Bernd, Cuoco, Elena, Huerta, E. A., Messenger, Chris, Ohme, Frank
We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitational-wave signals from binary black hole mergers of increasing complexity
Externí odkaz:
http://arxiv.org/abs/2209.11146
Autor:
Oleksiienko, Illia, Nousi, Paraskevi, Passalis, Nikolaos, Tefas, Anastasios, Iosifidis, Alexandros
In this paper, we propose a novel voxel-based 3D single object tracking (3D SOT) method called Voxel Pseudo Image Tracking (VPIT). VPIT is the first method that uses voxel pseudo images for 3D SOT. The input point cloud is structured by pillar-based
Externí odkaz:
http://arxiv.org/abs/2206.02619
Autor:
Fragkouli, Styliani-Christina, Nousi, Paraskevi, Passalis, Nikolaos, Iosif, Panagiotis, Stergioulas, Nikolaos, Tefas, Anastasios
Publikováno v:
j.asoc.2023.110746
Deep learning methods have been employed in gravitational-wave astronomy to accelerate the construction of surrogate waveforms for the inspiral of spin-aligned black hole binaries, among other applications. We face the challenge of modeling the resid
Externí odkaz:
http://arxiv.org/abs/2203.08434
Autor:
Passalis, N., Pedrazzi, S., Babuska, R., Burgard, W., Dias, D., Ferro, F., Gabbouj, M., Green, O., Iosifidis, A., Kayacan, E., Kober, J., Michel, O., Nikolaidis, N., Nousi, P., Pieters, R., Tzelepi, M., Valada, A., Tefas, A.
Existing Deep Learning (DL) frameworks typically do not provide ready-to-use solutions for robotics, where very specific learning, reasoning, and embodiment problems exist. Their relatively steep learning curve and the different methodologies employe
Externí odkaz:
http://arxiv.org/abs/2203.00403