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Paraskevi Nousi

swiss federal research station agroscope

14H-index
64Paper Count
627Citation Count
Published Papers 13
Publication Date
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Characterizing yield through wheat's perception of chronological progression: a multi-omics plant time warping approach
errJournal of Experimental Botany
IF5.7
err2026-03-01
err0
PREAI
errRoth, Lukas; Herrera, Juan M.; Levy Haner, Lilia; Pellet, Didier; Fossati, Dario; Boss, Mike; Chen, Xiaoran; Nousi, Paraskevi; Volpi, Michele
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New gravitational wave discoveries enabled by machine learning
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2025-02-27
err0
errOAAI
errKoloniari, Alexandra E.; Koursoumpa, Evdokia C.; Nousi, Paraskevi; Lampropoulos, Paraskevas; Passalis, Nikolaos; Tefas, Anastasios; Stergioulas, Nikolaos
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The FIP 1.0 Data Set: Highly resolved annotated image time series of 4,000 wheat plots grown in 6 years
errGIGASCIENCE
IF3.9
err2025-01-01
err2
errOAAI
errRoth, Lukas; Boss, Mike; Kirchgessner, Norbert; Aasen, Helge; Aguirre-Cuellar, Brenda Patricia; Akiina, Price Pius Atuah; Anderegg, Jonas; Castillo, Joaquin Gajardo; Chen, Xiaoran; Corrado, Simon; Cybulski, Krzysztof; Keller, Beat; Kortstee, Stefan Gobel; Kronenberg, Lukas; Liebisch, Frank; Nousi, Paraskevi; Oppliger, Corina; Perich, Gregor; Pfeifer, Johannes; Yu, Kang; Storni, Nicola; Tschurr, Flavian; Treier, Simon; Volpi, Michele; Zellweger, Hansueli; Zumsteg, Olivia; Hund, Andreas; Walter, Achim
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errSave
Deep label embedding learning for classification
errAPPLIED SOFT COMPUTING
IF6.6
err2024-09-01
err0
PREAI
errNousi, Paraskevi; Tefas, Anastasios
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errSave
Deep reinforcement learning for financial trading using multi-modal features
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-03-01
err2
PREAI
errAvramelou, Loukia; Nousi, Paraskevi; Passalis, Nikolaos; Tefas, Anastasios
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errSave
Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling
errAPPLIED SOFT COMPUTING
IF6.6
err2023-11-01
err0
errOAAI
errFragkouli, Styliani-Christina; Nousi, Paraskevi; Passalis, Nikolaos; Iosif, Panagiotis; Stergioulas, Nikolaos; Tefas, Anastasios
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Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling
errNEUROCOMPUTING
IF6.5
err2022-06-01
err3
errOAAI
errNousi, Paraskevi; Fragkouli, Styliani-Christina; Passalis, Nikolaos; Iosif, Panagiotis; Apostolatos, Theocharis; Pappas, George; Stergioulas, Nikolaos; Tefas, Anastasios
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errSave
Re-identification framework for long term visual object tracking based on object detection and classification
errSIGNAL PROCESSING-IMAGE COMMUNICATION
IF2.7
err2020-10-01
err13
PREAI
errNousi, Paraskevi; Triantafyllidou, Danai; Tefas, Anastasios; Pitas, Ioannis
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errSave
Dense convolutional feature histograms for robust visual object tracking
errIMAGE AND VISION COMPUTING
IF4.2
err2020-07-01
err11
PREAI
errNousi, Paraskevi; Tefas, Anastasios; Pitas, Ioannis
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errSave
Deep autoencoders for attribute preserving face de-identification
errSIGNAL PROCESSING-IMAGE COMMUNICATION
IF2.7
err2020-02-01
err14
PREAI
errNousi, Paraskevi; Papadopoulos, Sotirios; Tefas, Anastasios; Pitas, Ioannis
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errSave
Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data
errIEEE ACCESS
IF3.6
err2019-01-01
err42
errOAAI
errNousi, Paraskevi; Tsantekidis, Avraam; Passalis, Nikolaos; Ntakaris, Adamantios; Kanniainen, Juho; Tefas, Anastasios; Gabbouj, Moncef; Iosifidis, Alexandros
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errSave
Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining
errBIG DATA RESEARCH
IF4.2
err2018-03-01
err44
PREAI
errTriantafyllidou, Danai; Nousi, Paraskevi; Tefas, Anastasios
errShare
errSave
Deep learning algorithms for discriminant autoencoding
errNEUROCOMPUTING
IF6.5
err2017-11-01
err15
PREAI
errNousi, Paraskevi; Tefas, Anastasios
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errSave

Research Directions

The data has not been retrieved yet.
Co-authors
Cooperation Journals
I
Ioannis Pitas
H-index: 74 · Papers: 952
M
Moncef Gabbouj
H-index: 68 · Papers: 1.2K
N
Nikolaos Stergioulas
H-index: 50 · Papers: 271
A
Anastasios Tefas
H-index: 50 · Papers: 611
A
Alexandros Iosifidis
H-index: 42 · Papers: 494
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