Detecting transient gravitational waves in non-Gaussian noise with partially redundant analysis methods od Biswas, Rahul, Brady, Patrick R., Burguet-Castell, Jordi, Cannon, K. C., Clayton, Jessica, Dietz, Alexander, Fotopoulos, Nickolas, Goggin, Lisa M., Keppel, D. G., Pankow, Chris, Price, Larry R., Vaulin, Ruslan

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Likelihood-ratio ranking of gravitational-wave candidates in a non-Gaussian background od Biswas, Rahul, Brady, Patrick R., Burguet-Castell, Jordi, Cannon, K. C., Clayton, Jessica, Dietz, Alexander, Fotopoulos, Nickolas, Goggin, Lisa M., Keppel, D. G., Pankow, Chris, Price, Larry R., Vaulin, Ruslan

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Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data od Biswas, Rahul, Blackburn, Lindy L., Cao, Junwei, Hodge, K. A., Katsavounidis, Erotokritos, Kim, Kyungmin, Kim, Young-Min, Le Bigot, Eric-Olivier, Lee, Chang-Hwan, Oh, John J., Oh, Sang Hoon, Son, Edwin J., Vaulin, Ruslan, Wang, Xiaoge, Essick, Reed Clasey, Tao, Ye

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Searching for gravitational waves from binary coalescence od Vaulin, Ruslan, Babak, S., Biswas, Rahul, Brady, Patrick R., Brown, D. A., Cannon, K. C., Capano, C. D., Cokelaer, T., Creighton, J. D. E., Dent, T., Dietz, A., Fairhurst, S., Fotopoulos, Nickolas, González, G., Hanna, C., Harry, I. W., Jones, G., Keppel, D. G., McKechan, D. J. A., Pekowsky, L., Privitera, S., Robinson, C., Rodriguez, A. C., Sathyaprakash, B. S., Sengupta, A. S., Vallisneri, M., Vaulin, R., Weinstein, A. J.

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