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Paraskevi Nousi
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2020 – today
- 2024
- [j12]Paraskevi Nousi
, Anastasios Tefas:
Deep label embedding learning for classification. Appl. Soft Comput. 163: 111925 (2024) - [j11]Loukia Avramelou
, Paraskevi Nousi
, Nikolaos Passalis
, Anastasios Tefas
:
Deep reinforcement learning for financial trading using multi-modal features. Expert Syst. Appl. 238(Part C): 121849 (2024) - [j10]Ourania Stentoumi, Paraskevi Nousi, Maria Tzelepi
, Anastasios Tefas:
AnIO: anchored input-output learning for time-series forecasting. Neural Comput. Appl. 36(6): 2683-2693 (2024) - 2023
- [j9]Styliani-Christina Fragkouli
, Paraskevi Nousi
, Nikolaos Passalis, Panagiotis Iosif
, Nikolaos Stergioulas
, Anastasios Tefas:
Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling. Appl. Soft Comput. 147: 110746 (2023) - [c14]Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Stavros Doropoulos, Anastasios Tefas:
Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. ICASSP Workshops 2023: 1-5 - [c13]Maria Tzelepi, Paraskevi Nousi, Anastasios Tefas:
Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method. ICASSP 2023: 1-5 - [c12]Georgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas:
A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading. AIAI (1) 2023: 15-23 - [c11]Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas:
Anchored Input-Output Learning for Electrical Load Demand Forecasting. ISCAS 2023: 1-5 - [c10]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. SSCI 2023: 323-328 - [i11]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. CoRR abs/2302.05914 (2023) - [i10]Maria Tzelepi, Charalampos Symeonidis, Paraskevi Nousi, Efstratios Kakaletsis, Theodoros Manousis, Pavlos Tosidis, Nikos Nikolaidis, Anastasios Tefas:
Deep Learning for Energy Time-Series Analysis and Forecasting. CoRR abs/2306.09129 (2023) - [i9]Paraskevi Nousi, Loukia Avramelou, Georgios Rodinos, Maria Tzelepi, Theodoros Manousis, Konstantinos Tsampazis, Kyriakos Stefanidis, Dimitris Spanos, Emmanouil Kirtas, Pavlos Tosidis, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. CoRR abs/2309.16679 (2023) - 2022
- [j8]Paraskevi Nousi, Styliani-Christina Fragkouli
, Nikolaos Passalis, Panagiotis Iosif
, Theocharis Apostolatos, George Pappas
, Nikolaos Stergioulas
, Anastasios Tefas
:
Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling. Neurocomputing 491: 67-77 (2022) - [c9]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj
, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober
, O. Michel, Nikos Nikolaidis
, Paraskevi Nousi, Roel Pieters
, Maria Tzelepi, Abhinav Valada
, Anastasios Tefas
:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS 2022: 12479-12484 - [i8]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis
, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR abs/2203.00403 (2022) - [i7]Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif
, Nikolaos Stergioulas
, Anastasios Tefas:
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling. CoRR abs/2203.08434 (2022) - [i6]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
, Alexandros Iosifidis:
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images. CoRR abs/2206.02619 (2022) - [i5]Marlin B. Schäfer, Ondrej Zelenka, Alexander H. Nitz, He Wang
, Shichao Wu, Zong-Kuan Guo, Zhoujian Cao, Zhixiang Ren, Paraskevi Nousi, Nikolaos Stergioulas, Panagiotis Iosif, Alexandra E. Koloniari, Anastasios Tefas
, Nikolaos Passalis, Francesco Salemi, Gabriele Vedovato, Sergey Klimenko, Tanmaya Mishra, Bernd Brügmann, Elena Cuoco
, Eliu A. Huerta, Chris Messenger, Frank Ohme:
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. CoRR abs/2209.11146 (2022) - [i4]Paraskevi Nousi, Emmanouil Mpampis, Nikolaos Passalis, Ole Green, Anastasios Tefas
:
A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields. CoRR abs/2209.13202 (2022) - 2021
- [b1]Paraskevi Nousi:
Supervised and unsupervised deep learning methodologies. Aristotle University Of Thessaloniki, Greece, 2021 - [c8]Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis:
Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. EANN 2021: 271-283 - [i3]Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis:
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization. CoRR abs/2106.15409 (2021) - [i2]Paraskevi Nousi, Styliani-Christina Fragkouli
, Nikolaos Passalis, Panagiotis Iosif
, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas
, Anastasios Tefas:
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling. CoRR abs/2107.04312 (2021) - 2020
- [j7]Paraskevi Nousi
, Anastasios Tefas
:
Self-supervised autoencoders for clustering and classification. Evol. Syst. 11(3): 453-466 (2020) - [j6]Paraskevi Nousi, Anastasios Tefas
, Ioannis Pitas:
Dense convolutional feature histograms for robust visual object tracking. Image Vis. Comput. 99: 103933 (2020) - [j5]Paraskevi Nousi, Sotirios Papadopoulos, Anastasios Tefas
, Ioannis Pitas:
Deep autoencoders for attribute preserving face de-identification. Signal Process. Image Commun. 81 (2020) - [j4]Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas
, Ioannis Pitas:
Re-identification framework for long term visual object tracking based on object detection and classification. Signal Process. Image Commun. 88: 115969 (2020) - [c7]Fotini Patrona, Paraskevi Nousi, Ioannis Mademlis
, Anastasios Tefas, Ioannis Pitas:
Visual Object Detection For Autonomous UAV Cinematography. NLDL 2020: 1-6
2010 – 2019
- 2019
- [j3]Paraskevi Nousi
, Avraam Tsantekidis
, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen
, Anastasios Tefas
, Moncef Gabbouj
, Alexandros Iosifidis
:
Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. IEEE Access 7: 64722-64736 (2019) - [c6]Paraskevi Nousi, Anastasios Tefas
, Ioannis Pitas:
Deep Convolutional Feature Histograms for Visual Object Tracking. ICASSP 2019: 8375-8379 - [c5]Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas
, Ioannis Pitas:
Joint Lightweight Object Tracking and Detection for Unmanned Vehicles. ICIP 2019: 160-164 - [c4]Paraskevi Nousi, Ioannis Mademlis
, Iason Karakostas
, Anastasios Tefas
, Ioannis Pitas:
Embedded UAV Real-Time Visual Object Detection and Tracking. RCAR 2019: 708-713 - 2018
- [j2]Danai Triantafyllidou
, Paraskevi Nousi
, Anastasios Tefas
:
Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining. Big Data Res. 11: 65-76 (2018) - [c3]Paraskevi Nousi, Emmanouil Patsiouras, Anastasios Tefas
, Ioannis Pitas:
Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources. ICIP 2018: 321-325 - [i1]Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. CoRR abs/1809.07861 (2018) - 2017
- [j1]Paraskevi Nousi
, Anastasios Tefas
:
Deep learning algorithms for discriminant autoencoding. Neurocomputing 266: 325-335 (2017) - [c2]Paraskevi Nousi, Anastasios Tefas
:
Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition. EANN 2017: 205-215 - [c1]Danai Triantafyllidou, Paraskevi Nousi, Anastasios Tefas
:
Lightweight two-stream convolutional face detection. EUSIPCO 2017: 1190-1194
Coauthor Index
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last updated on 2024-08-07 21:26 CEST by the dblp team
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