Search Results

A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks

by Al-Kaabi, Karrar, Monsefi, Reza, Zabihzadeh, Davood
Published 2021

A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory

by Abbasi, R., Ackermann, M., Adams, J., Aguilar, J. A., Ahlers, M., Ahrens, M., Alispach, C., Alves Jr., A. A., Amin, N. M., An, R., Andeen, K., Anderson, T., Ansseau, I., Anton, G., Argüelles, C., Axani, S., Bai, X., V., A. Balagopal, Barbano, A., Barwick, S. W., Bastian, B., Basu, V., Baum, V., Baur, S., Bay, R., Beatty, J. J., Becker, K. -H., Tjus, J. Becker, Bellenghi, C., BenZvi, S., Berley, D., Bernardini, E., Besson, D. Z., Binder, G., Bindig, D., Blaufuss, E., Blot, S., Böser, S., Botner, O., Böttcher, J., Bourbeau, E., Bourbeau, J., Bradascio, F., Braun, J., Bron, S., Brostean-Kaiser, J., Burgman, A., Busse, R. S., Campana, M. A., Chen, C., Chirkin, D., Choi, S., Clark, B. A., Clark, K., Classen, L., Coleman, A., Collin, G. H., Conrad, J. M., Coppin, P., Correa, P., Cowen, D. F., Cross, R., Dave, P., De Clercq, C., DeLaunay, J. J., Dembinski, H., Deoskar, K., De Ridder, S., Desai, A., Desiati, P., de Vries, K. D., de Wasseige, G., de With, M., DeYoung, T., Dharani, S., Diaz, A., Díaz-Vélez, J. C., Dujmovic, H., Dunkman, M., DuVernois, M. A., Dvorak, E., Ehrhardt, T., Eller, P., Engel, R., Evans, J., Evenson, P. A., Fahey, S., Fazely, A. R., Fiedlschuster, S., Fienberg, A. T., Filimonov, K., Finley, C., Fischer, L., Fox, D., Franckowiak, A., Friedman, E., Fritz, A., Fürst, P., Gaisser, T. K., Gallagher, J., Ganster, E., Garrappa, S., Gerhardt, L., Ghadimi, A., Glaser, C., Glauch, T., Glüsenkamp, T., Goldschmidt, A., Gonzalez, J. G., Goswami, S., Grant, D., Grégoire, T., Griffith, Z., Griswold, S., Gündüz, M., Haack, C., Hallgren, A., Halliday, R., Halve, L., Halzen, F., Minh, M. Ha, Hanson, K., Hardin, J., Harnisch, A. A., Haungs, A., Hauser, S., Hebecker, D., Helbing, K., Henningsen, F., Hettinger, E. C., Hickford, S., Hignight, J., Hill, C., Hill, G. C., Hoffman, K. D., Hoffmann, R., Hoinka, T., Hokanson-Fasig, B., Hoshina, K., Huang, F., Huber, M., Huber, T., Hultqvist, K., Hünnefeld, M., Hussain, R., In, S., Iovine, N., Ishihara, A., Jansson, M., Japaridze, G. S., Jeong, M., Jones, B. J. P., Joppe, R., Kang, D., Kang, W., Kang, X., Kappes, A., Kappesser, D., Karg, T., Karl, M., Karle, A., Katz, U., Kauer, M., Kellermann, M., Kelley, J. L., Kheirandish, A., Kim, J., Kin, K., Kintscher, T., Kiryluk, J., Klein, S. R., Koirala, R., Kolanoski, H., Köpke, L., Kopper, C., Kopper, S., Koskinen, D. J., Koundal, P., Kovacevich, M., Kowalski, M., Krings, K., Krückl, G., Kurahashi, N., Kyriacou, A., Gualda, C. Lagunas, Lanfranchi, J. L., Larson, M. J., Lauber, F., Lazar, J. P., Leonard, K., Leszczyńska, A., Li, Y., Liu, Q. R., Lohfink, E., Mariscal, C. J. Lozano, Lu, L., Lucarelli, F., Ludwig, A., Luszczak, W., Lyu, Y., Ma, W. Y., Madsen, J., Mahn, K. B. M., Makino, Y., Mallik, P., Mancina, S., Mari{ş}, I. C., Maruyama, R., Mase, K., McNally, F., Meagher, K., Medina, A., Meier, M., Meighen-Berger, S., Merz, J., Micallef, J., Mockler, D., Momenté, G., Montaruli, T., Moore, R. W., Morik, K., Morse, R., Moulai, M., Naab, R., Nagai, R., Naumann, U., Necker, J., Nguy{\~{ê}}n, L. V., Niederhausen, H., Nisa, M. U., Nowicki, S. C., Nygren, D. R., Pollmann, A. Obertacke, Oehler, M., Olivas, A., O'Sullivan, E., Pandya, H., Pankova, D. V., Park, N., Parker, G. K., Paudel, E. N., Peiffer, P., Heros, C. Pérez de los, Philippen, S., Pieloth, D., Pieper, S., Pizzuto, A., Plum, M., Popovych, Y., Porcelli, A., Rodriguez, M. Prado, Price, P. B., Pries, B., Przybylski, G. T., Raab, C., Raissi, A., Rameez, M., Rawlins, K., Rea, I. C., Rehman, A., Reimann, R., Renschler, M., Renzi, G., Resconi, E., Reusch, S., Rhode, W., Richman, M., Riedel, B., Robertson, S., Roellinghoff, G., Rongen, M., Rott, C., Ruhe, T., Ryckbosch, D., Cantu, D. Rysewyk, Safa, I., Herrera, S. E. Sanchez, Sandrock, A., Sandroos, J., Santander, M., Sarkar, S., Satalecka, K., Scharf, M., Schaufel, M., Schieler, H., Schlunder, P., Schmidt, T., Schneider, A., Schneider, J., Schröder, F. G., Schumacher, L., Sclafani, S., Seckel, D., Seunarine, S., Sharma, A., Shefali, S., Silva, M., Skrzypek, B., Smithers, B., Snihur, R., Soedingrekso, J., Soldin, D., Spiczak, G. M., Spiering, C., Stachurska, J., Stamatikos, M., Stanev, T., Stein, R., Stettner, J., Steuer, A., Stezelberger, T., Stokstad, R. G., Stürwald, T., Stuttard, T., Sullivan, G. W., Taboada, I., Tenholt, F., Ter-Antonyan, S., Tilav, S., Tischbein, F., Tollefson, K., Tomankova, L., Tönnis, C., Toscano, S., Tosi, D., Trettin, A., Tselengidou, M., Tung, C. F., Turcati, A., Turcotte, R., Turley, C. F., Twagirayezu, J. P., Ty, B., Elorrieta, M. A. Unland, Valtonen-Mattila, N., Vandenbroucke, J., van Eijk, D., van Eijndhoven, N., Vannerom, D., van Santen, J., Verpoest, S., Vraeghe, M., Walck, C., Wallace, A., Watson, T. B., Weaver, C., Weindl, A., Weiss, M. J., Weldert, J., Wendt, C., Werthebach, J., Weyrauch, M., Whelan, B. J., Whitehorn, N., Wiebe, K., Wiebusch, C. H., Williams, D. R., Wolf, M., Woschnagg, K., Wrede, G., Wulff, J., Xu, X. W., Xu, Y., Yanez, J. P., Yoshida, S., Yuan, T., Zhang, Z.
Published in Journal of Instrumentation (2021)

Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network

by Dorian, Cazau, Lefort, Riwal, Bonnel, Julien, Zarader, Jean-Luc, Adam, Olivier
Published 2017

The Preliminary Results on Analysis of TAIGA-IACT Images Using Convolutional Neural Networks

by Gres, Elizaveta, Kryukov, and Alexander
Published in Proceedings of The 5th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2021) (2021)

Signal recognition and background suppression by matched filters and neural networks for Tunka-Rex

by Shipilov, D., Bezyazeekov, P. A., Budnev, N. M., Chernykh, D., Fedorov, O., Gress, O. A., Haungs, A., Hiller, R., Huege, T., Kazarina, Y., Kleifges, M., Korosteleva, E. E., Kostunin, D., Kuzmichev, L. A., Lenok, V., Lubsandorzhiev, N., Marshalkina, T., Monkhoev, R., Osipova, E., Pakhorukov, A., Pankov, L., Prosin, V. V., Schröder, F. G., Zagorodnikov, A.
Published in EPJ Web of Conferences (2018)

Learning the spatio-temporal relationship between wind and significant wave height using deep learning

by Obakrim, Said, Monbet, Valérie, Raillard, Nicolas, Ailliot, Pierre
Published 2022

Operator Guidance Informed by AI-Augmented Simulations

by Edwards, Samuel J., Levine, Michael
Published 2023

EchoVPR: Echo State Networks for Visual Place Recognition

by Ozdemir, Anil, Scerri, Mark, Barron, Andrew B., Philippides, Andrew, Mangan, Michael, Vasilaki, Eleni, Manneschi, Luca
Published in IEEE Robotics and Automation Letters (2021)

Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning

by Zhang, Chenkang, Luo, Lei, Gu, Bin
Published 2022

Deep Learning Models for River Classification at Sub-Meter Resolutions from Multispectral and Panchromatic Commercial Satellite Imagery

by Moortgat, Joachim, Li, Ziwei, Durand, Michael, Howat, Ian, Yadav, Bidhyananda, Dai, Chunli
Published in Remote Sensing of Environment (2022)

Deep learning for Aerosol Forecasting

by Hoyne, Caleb, Mukkavilli, S. Karthik, Meger, David
Published 2019

Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference

by Brinkerhoff, Douglas, Aschwanden, Andy, Fahnestock, Mark
Published in Journal of Glaciology (2020)

Heterogeneous Multi-task Metric Learning across Multiple Domains

by Luo, Yong, Wen, Yonggang, Tao, Dacheng
Published in IEEE Transactions on Neural Networks and Learning Systems (2019)

Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach

by Bose, Rikhi, Pintar, Adam, Simiu, Emil
Published 2021

Predicting ice flow using machine learning

by Min, Yimeng, Mukkavilli, S. Karthik, Bengio, Yoshua
Published 2019