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Understanding risk for early dislocation resulting in reoperation within 90 days of reverse total shoulder arthroplasty: extreme rare event detection through cost-sensitive machine learning

Autor: Oeding, Jacob F., Lu, Yining, Pareek, Ayoosh, Marigi, Erick M., Okoroha, Kelechi R., Barlow, Jonathan D., Camp, Christopher L., Sanchez-Sotelo, Joaquin

Publikováno v: In Journal of Shoulder and Elbow Surgery September 2023 32(9):e437-e450

Soft Attention Convolutional Neural Networks for Rare Event Detection in Sequences

Autor: Kulkarni, Mandar, Abubakar, Aria

Automated event detection in the sequences is an important aspect of temporal data analytics. The events can be in the form of peaks, changes in data distribution, changes of spectral characteristics etc. In this work, we propose a Soft-Attention Con

Externí odkaz: http://arxiv.org/abs/2011.02338

Low-diffusion Xe-He gas mixtures for rare-event detection: Electroluminescence Yield

Autor: Fernandes, A. F. M., Henriques, C. A. O., Mano, R. D. P., González-Díaz, D., Azevedo, C. D. R., Silva, P. A. O. C., Gómez-Cadenas, J. J., Freitas, E. D. C., Fernandes, L. M. P., Monteiro, C. M. B., Adams, C., Álvarez, V., Arazi, L., Arnquist, I. J., Bailey, K., Ballester, F., Benlloch-Rodríguez, J. M., Borges, F. I. G. M., Byrnes, N., Cárcel, S., Carríon, J. V., Cebrían, S., Church, E., Conde, C. A. N., Contreras, T., Díaz, J., Díaz, G., Diesburg, M., Escada, J., Esteve, R., Felkai, R., Ferrario, P., Ferreira, A. L., Generowicz, J., Ghosh, S., Goldschmidt, A., Guenette, R., Gutiérrez, R. M., Haefner, J., Hafidi, K., Hauptman, J., Morata, J. A. Hernando, Herrero, P., Herrero, V., Ifergan, Y., Johnston, S., Jones, B. J. P., Kekic, M., Labarga, L., Laing, A., Lebrun, P., López-March, N., Losada, M., Martín-Albo, J., Martínez, A., Martínez-Lema, G., McDonald, A. D., Monrabal, F., Mora, F. J., Vidal, J. Muñoz, Novella, P., Nygren, D. R., Palmeiro, B., Para, A., Pérez, J., Psihas, F., Querol, M., Renner, J., Repond, J., Riordan, S., Ripoll, L., García, Y. Rodríguez, Rodríguez, J., Rogers, L., Romeo, B., Romo-Luque, C., Santos, F. P., Santos, J. M. F. dos, Simón, A., Sofka, C., Sorel, M., Stiegler, T., Toledo, J. F., Torrent, J., Usón, A., Veloso, J. F. C. A., Webb, R., Weiss-Babai, R., White, J. T., Woodruff, K., Yahlali, N.

High pressure xenon Time Projection Chambers (TPC) based on secondary scintillation (electroluminescence) signal amplification are being proposed for rare event detection such as directional dark matter, double electron capture and double beta decay

Externí odkaz: http://arxiv.org/abs/1906.03984

Framework for rare event detection using Artificial Neural Network based context free grammar.

Autor: Srinivasan, Palanivel¹ (AUTHOR), Doraipandian, Manivannan¹ (AUTHOR) dmv@cse.sastra.edu, Varadarajan, Vijayakumar (AUTHOR), Kommers, Piet (AUTHOR), Piuri, Vincenzo (AUTHOR), Subramaniyaswamy, V. (AUTHOR)

Publikováno v: Journal of Intelligent & Fuzzy Systems. 2020, Vol. 39 Issue 6, p8463-8475. 13p.