73 citations
- Transylvania University of BrașovRO6 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Nagoya City UniversityJP2 papers
- National Astronomical Observatory of JapanJP2 papers
- Siemens (Romania)RO2 papers
- Université Paris CitéFR2 papers
- Arcetri Astrophysical ObservatoryIT1 paper
- Astrophysique, Instrumentation et ModélisationFR1 paper
- California Polytechnic State UniversityUS1 paper
- CEA Paris-SaclayFR1 paper
- Center for Astrophysics Harvard & SmithsonianUS1 paper
- Chinese Academy of SciencesCN1 paper
6 papers · 1 filter
A Single-chord Stellar Occultation by the Extreme Trans-Neptunian Object (541132) Leleākūhonua
Marc W. Buie, Rodrigo Leiva, John M. Keller +32
A stellar occultation by the extreme large-perihelion trans-Neptunian object (541132) Leleākūhonua (also known by the provisional designation of 2015 TG387) was predicted by the Lu…
Herschel Gould Belt Survey Observations of Dense Cores in the Cepheus Flare Clouds
James Di Francesco, Jared Keown, Cassandra Fallscheer +17
We present Herschel SPIRE and PACS maps of the Cepheus Flare clouds L1157, L1172, L1228, L1241, and L1251, observed by the Herschel Gould Belt Survey (HGBS) of nearby star-forming…
Survey of explainable machine learning with visual and granular methods beyond quasi-explanations
Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, Ankur Teredesai
This paper surveys visual methods of explainability of Machine Learning (ML) with focus on moving from quasi-explanations that dominate in ML to domain-specific explanation support…
Cloud structures in M17 SWex : Possible cloud-cloud collision
Shinichi W. Kinoshita, Fumitaka Nakamura, Quang Nguyen-Luong +11
Using wide-field CO () data taken with the Nobeyama 45-m telescope, we investigate cloud structures of the infrared dark cloud complex in M17 with SCIMES. In total, w…
Weighted Random Search for Hyperparameter Optimization
Adrian-Catalin Florea, Razvan Andonie
We introduce an improved version of Random Search (RS), used here for hyperparameter optimization of machine learning algorithms. Unlike the standard RS, which generates for each t…
Weighted Random Search for CNN Hyperparameter Optimization
Razvan Andonie, Adrian-Catalin Florea
Nearly all model algorithms used in machine learning use two different sets of parameters: the training parameters and the meta-parameters (hyperparameters). While the training par…