Paraskevi Nousi

42 papers A 1B 2C 3Misc 2Journal 25Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Comparative Analysis of Image-Based Deep Learning and Genomic Models for Yield and Protein Content Prediction in Winter Wheat. ICCVW Xiaoran Chen, Paraskevi Nousi, Mike Boss, Michele Volpi, Lukas Roth
2025	—	`conf`	Improving Electric Load Demand Forecasting with Hard Representation Regularization. EUSIPCO Paraskevi Nousi, Maria Tzelepi
2025	J	`jnl`	New gravitational wave discoveries enabled by machine learning. Mach. Learn. Sci. Technol. Alexandra E. Koloniari, Evdokia C. Koursoumpa, Paraskevi Nousi, Paraskevas Lampropoulos, Nikolaos Passalis, Anastasios Tefas, Nikolaos Stergioulas
2024	J	`jnl`	AnIO: anchored input-output learning for time-series forecasting. Neural Comput. Appl. Ourania Stentoumi, Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas
2024	J	`jnl`	Deep label embedding learning for classification. Appl. Soft Comput. Paraskevi Nousi, Anastasios Tefas
2024	J	`jnl`	Deep reinforcement learning for financial trading using multi-modal features. Expert Syst. Appl. Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
2024	J	`jnl`	Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Comput. Appl. Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2023	—	`conf`	A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading. AIAI (1) Georgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
2023	C	`conf`	Anchored Input-Output Learning for Electrical Load Demand Forecasting. ISCAS Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas
2023	—	`conf`	Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. ICASSP Workshops Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Stavros Doropoulos, Anastasios Tefas
2023	J	`jnl`	Deep Learning for Energy Time-Series Analysis and Forecasting. CoRR Maria Tzelepi, Charalampos Symeonidis, Paraskevi Nousi, Efstratios Kakaletsis, Theodoros Manousis, Pavlos Tosidis, Nikos Nikolaidis, Anastasios Tefas
2023	J	`jnl`	Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling. Appl. Soft Comput. Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas
2023	Misc	`conf`	Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method. ICASSP Maria Tzelepi, Paraskevi Nousi, Anastasios Tefas
2023	J	`jnl`	Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. CoRR 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
2023	—	`conf`	Variational Voxel Pseudo Image Tracking. SSCI Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2023	J	`jnl`	Variational Voxel Pseudo Image Tracking. CoRR Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2022	J	`jnl`	A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields. CoRR Paraskevi Nousi, Emmanouil Mpampis, Nikolaos Passalis, Ole Green, Anastasios Tefas
2022	J	`jnl`	Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling. Neurocomputing Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas
2022	J	`jnl`	Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling. CoRR Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas
2022	J	`jnl`	MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. CoRR 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
2022	A	`conf`	OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, Ole Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
2022	J	`jnl`	OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, Ole Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
2022	J	`jnl`	VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images. CoRR Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2021	J	`jnl`	Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling. CoRR Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas
2021	C	`conf`	Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. EANN Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis
2021	J	`jnl`	Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization. CoRR Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis
2021	—	`—`	Supervised and unsupervised deep learning methodologies Paraskevi Nousi
2020	J	`jnl`	Deep autoencoders for attribute preserving face de-identification. Signal Process. Image Commun. Paraskevi Nousi, Sotirios Papadopoulos, Anastasios Tefas, Ioannis Pitas
2020	J	`jnl`	Dense convolutional feature histograms for robust visual object tracking. Image Vis. Comput. Paraskevi Nousi, Anastasios Tefas, Ioannis Pitas
2020	J	`jnl`	Re-identification framework for long term visual object tracking based on object detection and classification. Signal Process. Image Commun. Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas, Ioannis Pitas
2020	J	`jnl`	Self-supervised autoencoders for clustering and classification. Evol. Syst. Paraskevi Nousi, Anastasios Tefas
2020	—	`conf`	Visual Object Detection For Autonomous UAV Cinematography. NLDL Fotini Patrona, Paraskevi Nousi, Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas
2019	Misc	`conf`	Deep Convolutional Feature Histograms for Visual Object Tracking. ICASSP Paraskevi Nousi, Anastasios Tefas, Ioannis Pitas
2019	—	`conf`	Embedded UAV Real-Time Visual Object Detection and Tracking. RCAR Paraskevi Nousi, Ioannis Mademlis, Iason Karakostas, Anastasios Tefas, Ioannis Pitas
2019	B	`conf`	Joint Lightweight Object Tracking and Detection for Unmanned Vehicles. ICIP Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas, Ioannis Pitas
2019	J	`jnl`	Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. IEEE Access Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2018	B	`conf`	Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources. ICIP Paraskevi Nousi, Emmanouil Patsiouras, Anastasios Tefas, Ioannis Pitas
2018	J	`jnl`	Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining. Big Data Res. Danai Triantafyllidou, Paraskevi Nousi, Anastasios Tefas
2018	J	`jnl`	Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. CoRR Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2017	J	`jnl`	Deep learning algorithms for discriminant autoencoding. Neurocomputing Paraskevi Nousi, Anastasios Tefas
2017	C	`conf`	Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition. EANN Paraskevi Nousi, Anastasios Tefas
2017	—	`conf`	Lightweight two-stream convolutional face detection. EUSIPCO Danai Triantafyllidou, Paraskevi Nousi, Anastasios Tefas