Nikolaos Nikolaou
Nikolaos Nikolaou
Other namesNikos Nikolaou, Nikos Nikolau
Lecturer in Data Intensive Sciences, UCL
Verified email at - Homepage
Cited by
Cited by
Cost-sensitive boosting algorithms: Do we really need them?
N Nikolaou, N Edakunni, M Kull, P Flach, G Brown
Machine Learning 104, 359-384, 2016
Ariel: Enabling planetary science across light-years
G Tinetti, P Eccleston, C Haswell, PO Lagage, J Leconte, T Lüftinger, ...
arXiv preprint arXiv:2104.04824, 2021
Information theoretic feature selection in multi-label data through composite likelihood
K Sechidis, N Nikolaou, G Brown
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2014
Peeking inside the black box: Interpreting deep-learning models for exoplanet atmospheric retrievals
KH Yip, Q Changeat, N Nikolaou, M Morvan, B Edwards, IP Waldmann, ...
The Astronomical Journal 162 (5), 195, 2021
Detrending Exoplanetary Transit Light Curves with Long Short-term Memory Networks
M Morvan, N Nikolaou, A Tsiaras, IP Waldmann
The Astronomical Journal 159 (3), 109, 2020
PyLightcurve-torch: a transit modeling package for deep learning applications in PyTorch
M Morvan, A Tsiaras, N Nikolaou, IP Waldmann
Publications of the Astronomical Society of the Pacific 133 (1021), 034505, 2021
Lessons learned from the 1st Ariel Machine Learning Challenge: Correcting transiting exoplanet light curves for stellar spots
N Nikolaou, IP Waldmann, A Tsiaras, M Morvan, B Edwards, KH Yip, ...
RAS Techniques and Instruments 2 (1), 695-709, 2023
Calibrating AdaBoost for asymmetric learning
N Nikolaou, G Brown
Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg …, 2015
Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning
KH Yip, N Nikolaou, P Coronica, A Tsiaras, B Edwards, Q Changeat, ...
In Proc. of Machine Learning and Knowledge Discovery in Databases, ECML PKDD …, 2019
Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer
M Morvan, N Nikolaou, KH Yip, I Waldmann
arXiv preprint arXiv:2207.02777, 2022
Cost-Sensitive Boosting: A Unified Approach
N Nikolaou
University of Manchester, 2016
Music emotion classification
N Nikolaou
Dissertation for the Diploma of Electronic and Computer Engineering …, 2011
Margin maximization as lossless maximal compression
N Nikolaou, H Reeve, G Brown
arXiv preprint arXiv:2001.10318, 2020
Autoencoder-based multimodal prediction of non-small cell lung cancer survival
JG Ellen, E Jacob, N Nikolaou, N Markuzon
Scientific Reports 13 (1), 15761, 2023
Fast optimization of non-convex Machine Learning objectives
N Nikolaou
M.Sc. Dissertation, 2012
ESA-Ariel Data Challenge NeurIPS 2022: Inferring Physical Properties of Exoplanets From Next-Generation Telescopes
KH Yip, IP Waldmann, Q Changeat, M Morvan, AF Al-Refaie, B Edwards, ...
arXiv preprint arXiv:2206.14642, 2022
Fast regression of the tritium breeding ratio in fusion reactors
P Mánek, G Van Goffrier, V Gopakumar, N Nikolaou, J Shimwell, ...
Machine Learning: Science and Technology 4 (1), 015008, 2023
Mapping mineralogical distributions on Mars with unsupervised machine learning
M Hipperson, I Waldmann, P Grindrod, N Nikolaou
EPSC2020, 2020
Gradient boosting models for photovoltaic power estimation under partial shading conditions
N Nikolaou, E Batzelis, G Brown
Data Analytics for Renewable Energy Integration: Informing the Generation …, 2017
Statistical Analysis of Solar Irradiance Variability
AR Nikolopoulos, EI Batzelis, P Lewin, N Nikolaou
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