| Name | Abs no. | Title |
|---|
| Aisha Alowais | 713 | Neural Networks for Meteorite and
Meteor Recognition |
| Amelia Yu | 1360 | Deep learning proves to be an effective
tool for detecting previously undiscovered exoplanets in Kepler data |
| Anupam Bhardwaj | 760 | Predicting Physical Parameters of
Cepheid and RR Lyrae variables in an Instant with Machine Learning |
| Atila Poro | 2845 | Investigation of the orbital period
and mass relations for W UMa-type contact systems |
| Atrideb Chatterjee | 1529 | ANN based MCMC pipeline for
constraining cosmological and astrophysical parameters using EoR
observations |
| Connor Bottrell | 1921 | Unraveling galaxy merger
histories with deep learning |
| Dominic Adams | 2801 | Combining citizen science and
machine learning strategies to enable Galaxy Zoo: Clump Scout
science |
| Dongjin Lee | 2605 | How and why TDA improves CNN:
Transient vs Bogus classifications |
| Eunsu Park | 2553 | Application of image translation
methods based on deep learning to denoising solar magnetograms |
| Garreth Martin | 2514 | Versatile morphological
classification for the next generation of large surveys |
| Gor Mikayelyan | 888 | Astronomical objects classification
based on the Digitized First Byurakan Survey low-dispersion spectra |
| Guillermo Torralba Elipe | 1676 | A Machine Learning-based
DPAC algorithm for Gaia RVS spectra parameterization |
| Hanwool Koo | 334 | Bayesian vs frequentist: comparing
Bayesian model selection with a frequentist approach using the iterative
smoothing method |
| Jaehan Bae | 670 | KPSFinder: a machine learning-based
exoplanet searching tool |
| Jinkoo Yim | 2549 | 3-day Forecasting of Global TEC Maps
Using a Deep Learning Model |
| Joeri Van Leeuwen | 2470 | CORTEX - the Center for
Optimal, Real-Time Machine Studies of the Explosive Universe |
| Johan Knapen | 2784 | Deep Learning and numerical
simulations to infer the evolution of MaNGA galaxies |
| John Eduard Martínez Fernández | 3162 | Clustering
analysis with stellar photometric data |
| John Hefele | 3283 | Machine Learning for Hazardous Small
Solar System Body Detection |
| Josef Durech | 2415 | Machine-learning detection of
false-positive solutions in the inversion of asteroid sparse-in time
photometry |
| Kakeru Fukumitsu | 3306 | Image Restoration based on Deep
Learning for High-Resolution Solar Images |
| Krisztián Vida | 1260 | Flare detection with different
machine learning methods |
| Kyungmin Kim | 557 | Deep Learning-based Search for Lensed
Gravitational-Wave Signals from Binary Black Hole Events in GWTC-1 and
-2 |
| Laurent Eyer | 2489 | Revealing celestial variable sources
with Gaia DR3 |
| Marco Álvarez | 1730 | Unsupervised clustering
visualisation tool for Gaia DR3 |
| Marc Huertas-Company | 2857 | Unveiling the morphologies
of z>3 with JWST and self-supervised learning |
| Margherita Grespan | 1299 | A study on representation of
Gravitational Waves Data for Convolutional Neural Network |
| Maria Luisa Buzzo | 1405 | A survey of stellar populations
in Ultra-Diffuse Galaxies (UDGs) in the era of LSST and JWST: the role of
machine learning in finding and characterising UDGs. |
| Marian Douspis | 2053 | Retrieving cosmological
information from clusters and hot diffuse gas in CMB small scales using
machine learning emulator of power spectrum |
| Mark Birkinshaw | 2276 | Radio image segmentation with
variational autoencoders: application to SKA Data Challenge 1 |
| Michel Cure | 1678 | Bayesian deconvolution of a rotating
spectral line profile to a non-rotating one |
| Monika Soraisam | 2563 | A classification algorithm for
time-domain novelties in preparation for LSST alerts |
| Médéric Boquien | 1551 | Accelerating spectro-photometric
modeling for next-generation massive surveys |
| Nahathai Tanakul | 2637 | Searching for Globular Cluster
Candidates around M81, M82, NGC3077 Using Machine Learning
Techniques |
| Nahathai Tanakul | 1177 | Features Selection and Imbalance
Learning in Automatic Variable Star Classification |
| Nicolás Vásquez | 998 | Computational techniques for high
energy astrophysics and medical image processing |
| Oliver Boersma | 1701 | Efficient neural network emulation
of complex physical models for gamma-ray burst afterglows |
| Pablo Manuel Sánchez Alarcón | 2643 | Fully Adaptive
Bayesian Algorithm for Data Analysis. FABADA |
| Rodrigo Calderon | 2580 | Joint reconstructions of growth
and expansion histories with Gaussian Processes: Dark Energy beyond
Λ |
| Ryohtaroh Ishikawa | 2614 | Multi-scale deep learning for
estimating horizontal velocity fields on the solar surface |
| SYED NAJAMUL HASAN | 1692 | Is GMM effective in membership
determination of Open Clusters? |
| Sandor Pinter | 2250 | High-redshift galaxy cluster
candidates from Subaru HSC photometric redshifts |
| Sandor Pinter | 2248 | Can the distance of GRBs be
estimated using machine learning? |
| SangHoon Oh | 3384 | Deep Learning Classification of Noise
Transients using Multi-Scale Neural Networks applied to LIGO’s Auxiliary
Channel Data |
| Satadru Bag | 3265 | Detecting Strong Lensed Quasars and
Measuring their Time Delays from the Unresolved Light Curves |
| Se Yeon Hwang | 3055 | Deep Learning Approaches to Large
Scale Structure Cosmology |
| Seong-Heon Lee | 2670 | CNN-TDA Net : Focus adjustment
toward persistent topological signal of point-source. |
| Sergen Ozdemir | 3161 | Searching for similar stars in
large spectroscopic datasets with machine learning |
| Simon Anghel | 1437 | Machine Learning Tools Applied to
All-Sky Astroclimate Analysis in Romania |
| Sirinrat Sithajan | 912 | Applied Machine Learning Models
for Identifying Spectral Sub-Types of M Dwarfs from Photometric
Surveys |
| Suk Kim | 3307 | Development of an image similarity
retrieval engine using Convolutional Neural Network for automating galaxy
morphology classification |
| Sumi Kim | 1380 | Cosmological Information from Higher
Order Clustering Statistics |
| Tomasz Różański | 2348 | Stellar spectra classification
and clustering using deep learning |
| Vitor Cernic | 1043 | Stellar Population Photometric
Synthesis with AI of S-PLUS galaxies |
| William Pearson | 2124 | Data pre-extraction for better
classification of galaxy mergers |
| Wuhyun Sohn | 2582 | Reconstructing the early universe
using CMB temperature and polarization |
