Sreevarsha Sreejith

According to our database, Sreevarsha Sreejith authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring the Universe with SNAD: Anomaly Detection in Astronomy.

Alina A. Volnova, Patrick D. Aleo, Anastasia Lavrukhina, Etienne Russeil, Timofey Semenikhin, Emmanuel Gangler, Emille E. O. Ishida, Matwey V. Kornilov, Vladimir S. Korolev, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Sreevarsha Sreejith

CoRR, 2024

Coniferest: a complete active anomaly detection framework.

Matwey V. Kornilov, Vladimir S. Korolev, Konstantin L. Malanchev, A. D. Lavrukhina, Etienne Russeil, T. A. Semenikhin, Emmanuel Gangler, Emille E. O. Ishida, Maria V. Pruzhinskaya, Alina A. Volnova, Sreevarsha Sreejith

CoRR, 2024

2020

Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients.

Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

Active Anomaly Detection for time-domain discoveries.

Emille E. O. Ishida, Matwey V. Kornilov, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Alina A. Volnova, Vladimir S. Korolev, Florian Mondon, Sreevarsha Sreejith, Anastasia Malancheva, Shubhomoy Das

CoRR, 2019

Realization of Different Techniques for Anomaly Detection in Astronomical Databases.

Konstantin L. Malanchev, Vladimir S. Korolev, Matwey V. Kornilov, Emille E. O. Ishida, Anastasia Malancheva, Florian Mondon, Maria V. Pruzhinskaya, Sreevarsha Sreejith, Alina Volnova

Proceedings of the Data Analytics and Management in Data Intensive Domains, 2019