Transfer learning for activity recognition: a survey von Cook, Diane, Feuz, Kyle D., Krishnan, Narayanan C.

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Collegial activity learning between heterogeneous sensors von Feuz, Kyle D., Cook, Diane J.

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Transfer Learning across Feature-Rich Heterogeneous Feature Spaces via Feature-Space Remapping (FSR) von Feuz, Kyle D, Cook, Diane J

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Automated Detection of Activity Transitions for Prompting von Feuz, Kyle D., Cook, Diane J., Rosasco, Cody, Robertson, Kayela, Schmitter-Edgecombe, Maureen

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Distribution of major health risks: Findings from the global burden of disease study von Rodgers, A, Ezzati, M, Vander Hoorn, S, Lopez, AD, Lin, RB, Murray, CJL, Fishman, S, Caulfield, LE, de Onis, M, Blössner, M, Hyder, AA, Mullany, L, Black, RE, Stoltzfus, RJ, Rice, AJ, West, KP, Lawes, C, Law, M, Elliott, P, MacMahon, S, James, WPT, Ni Mhurchu, C, Kalamara, E, Shayeghi, M, Rigby, NJ, Nishida, C, Lock, K, Pomerleau, J, Causer, L, McKee, M, Bull, FC, Dixon, T, Ham, S, Neiman, A, Pratt, M, Rehm, J, Room, R, Monteiro, M, Gmel, G, Graham, K, Rehn, N, Sempos, CT, Frick, U, Jernigan, D, Degenhardt, L, Hall, W, Warner-Smith, M, Slaymaker, E, Walker, N, Armstrong, T, Collumbien, M, Gerressu, M, Cleland, J, Prüss-Ustun, A, Kay, D, Fewtrell, L, Bartram, J, Cohen, A, Anderson, R, Ostro, B, Dev Pandey, K, Krzyzanowski, M, Künzli, N, Gutschmidt, K, Pope, A, Romieu, I, Samet, J, Smith, K, Smith, KR, Mehta, S, Feuz, M, Landrigan, P, Ayuso, JL, McMichael, A, Campbell-Lendrum, D, Kovats, S, Edwards, S, Wilkinson, P, Tanser, F, Le Sueur, D, Schlesinger, M, Andronova, N, Nicholls, R, Hales, S, Concha, M, Imel Nelson, D, Fingerhut, M, Leigh, J, Corvalan, C, Driscoll, T, Kyle Steenland, N, Punnett, L, Tak, SW, Phillips, S, Hauri, AM, Armstrong, GL, Hutin, YJF, Andrews, Gavin, Slade, Tim, Corry, Justine

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