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Issue DateTitleAuthor(s)
2010-12-21A refinement approach to handling model misfit in semi-supervised learningSu, H; Chen, L; Ye, Y; Sun, Z; Wu, Q
2016-08-01Representative Vector Machines: A Unified Framework for Classical ClassifiersGui, J; Liu, T; Tao, D; Sun, Z; Tan, T
2022-05-31SADnet: Semi-supervised Single Image Dehazing Method Based on an Attention MechanismSun, Z; Zhang, Y; Bao, F; Wang, P; Yao, X; Zhang, C
2020Sclera Segmentation Benchmarking Competition in Cross-resolution EnvironmentDas, A; Pal, U; Blumenstein, M; Wang, C; He, Y; Zhu, Y; Sun, Z
2020-11-10Self-healing efficiency and crack closure of smart cementitious composite with crystalline admixture and structural polyurethaneXue, C; Li, W; Qu, F; Sun, Z; Shah, SP
2014-01-01Shared-aperture dual-band dual-polarization array using sandwiched stacked patchSun, Z; Esselle, KP; Zhong, SS; Guo, YJ
2019-10-01Shear behavior degradation and failure pattern of reinforced concrete beam with chloride-induced stirrup corrosionLu, ZH; Li, H; Li, W; Zhao, YG; Tang, Z; Sun, Z
2018-03-01Supervised Discrete Hashing With RelaxationGui, J; Liu, T; Sun, Z; Tao, D; Tan, T
2022-01-01Temperature‐dependent electromagnetic microwave absorbing characteristics of stretchable polyurethane composite foams with ultra‐wide bandwidthSun, Z; Chen, Y; Zheng, J; Jiang, S; Dong, W; Li, X; Li, Y; Shiju, E
2018-11-01Tools and methods in participatory modeling: Selecting the right tool for the jobVoinov, A; Jenni, K; Gray, S; Kolagani, N; Glynn, PD; Bommel, P; Prell, C; Zellner, M; Paolisso, M; Jordan, R; Sterling, E; Schmitt Olabisi, L; Giabbanelli, PJ; Sun, Z; Le Page, C; Elsawah, S; BenDor, TK; Hubacek, K; Laursen, BK; Jetter, A; Basco-Carrera, L; Singer, A; Young, L; Brunacini, J; Smajgl, A
2020-03-01Tracing geochemical pollutants in stream water and soil from mining activity in an alpine catchmentLi, J; Li, Z; Brandis, KJ; Bu, J; Sun, Z; Yu, Q; Ramp, D
2021-01-04Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.Conti, DV; Darst, BF; Moss, LC; Saunders, EJ; Sheng, X; Chou, A; Schumacher, FR; Olama, AAA; Benlloch, S; Dadaev, T; Brook, MN; Zhang, H-W; Feng, N; Mao, X; Wu, Y; Zhao, S-C; Sun, Z; Thibodeau, SN; McDonnell, SK; Schaid, DJ; West, CML; Sahimi, A; Burnet, N; Barnett, G; Maier, C; Schnoeller, T; Luedeke, M; Kibel, AS; Drake, BF; Cussenot, O; Cancel-Tassin, G; Menegaux, F; Hoffmann, TJ; Truong, T; Koudou, YA; John, EM; Grindedal, EM; Maehle, L; Khaw, K-T; Ingles, SA; Stern, MC; Vega, A; Gómez-Caamaño, A; Takahashi, A; Fachal, L; Rosenstein, BS; Kerns, SL; Ostrer, H; Teixeira, MR; Paulo, P; Brandão, A; Watya, S; Lubwama, A; Bensen, JT; Matsuda, K; Fontham, ETH; Mohler, J; Taylor, JA; Kogevinas, M; Llorca, J; Castaño-Vinyals, G; Cannon-Albright, L; Teerlink, CC; Huff, CD; Strom, SS; Momozawa, Y; Multigner, L; Blanchet, P; Brureau, L; Kaneva, R; Slavov, C; Mitev, V; Leach, RJ; Weaver, B; Brenner, H; Cuk, K; Fujita, M; Holleczek, B; Saum, K-U; Klein, EA; Hsing, AW; Kittles, RA; Murphy, AB; Logothetis, CJ; Kim, J; Neuhausen, SL; Steele, L; Muir, K; Ding, YC; Isaacs, WB; Nemesure, B; Hennis, AJM; Carpten, J; Pandha, H; Michael, A; De Ruyck, K; De Meerleer, G; Ost, P; Lophatananon, A; Xu, J; Razack, A; Lim, J; Teo, S-H; Newcomb, LF; Lin, DW; Fowke, JH; Neslund-Dudas, C; Rybicki, BA; Gamulin, M; Wan, P; Lessel, D; Kulis, T; Usmani, N; Singhal, S; Parliament, M; Claessens, F; Joniau, S; Van den Broeck, T; Gago-Dominguez, M; Castelao, JE; Le Marchand, L; Martinez, ME; Larkin, S; Townsend, PA; Aukim-Hastie, C; Bush, WS; Aldrich, MC; Crawford, DC; Srivastava, S; Cullen, JC; Petrovics, G; Wilkens, LR; Casey, G; Roobol, MJ; Jenster, G; van Schaik, RHN; Hu, JJ; Sanderson, M; Varma, R; McKean-Cowdin, R; Torres, M; Mancuso, N; Stevens, VL; Berndt, SI; Van Den Eeden, SK; Easton, DF; Chanock, SJ; Cook, MB; Wiklund, F; Nakagawa, H; Witte, JS; Eeles, RA; Kote-Jarai, Z; Gapstur, SM; Haiman, CA; Carter, BD; Schleutker, J; Tammela, TLJ; Sipeky, C; Auvinen, A; Giles, GG; Southey, MC; MacInnis, RJ; Cybulski, C; Wokołorczyk, D; Lubiński, J; Neal, DE; Donovan, JL; Hamdy, FC; Martin, RM; Nordestgaard, BG; Nielsen, SF; Weischer, M; Bojesen, SE; Røder, MA; Iversen, P; Batra, J; Chambers, S; Moya, L; Horvath, L; Clements, JA; Tilley, W; Risbridger, GP; Gronberg, H; Aly, M; Szulkin, R; Eklund, M; Nordström, T; Pashayan, N; Dunning, AM; Ghoussaini, M; Travis, RC; Key, TJ; Riboli, E; Park, JY; Sellers, TA; Lin, H-Y; Albanes, D; Weinstein, SJ; Mucci, LA; Giovannucci, E; Lindstrom, S; Kraft, P; Hunter, DJ; Penney, KL; Turman, C; Tangen, CM; Goodman, PJ; Thompson, IM; Hamilton, RJ; Fleshner, NE; Finelli, A; Parent, M-É; Stanford, JL; Ostrander, EA; Geybels, MS; Koutros, S; Freeman, LEB; Stampfer, M; Wolk, A; Håkansson, N; Andriole, GL; Hoover, RN; Machiela, MJ; Sørensen, KD; Borre, M; Blot, WJ; Zheng, W; Yeboah, ED; Mensah, JE; Lu, Y-J
2010-02-17Visual-Context Boosting for Eye DetectionSong, M; Tao, D; Sun, Z; Li, X
2022-01-01Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An ApproachSun, Z; Yao, Y; Wei, XS; Zhang, Y; Shen, F; Wu, J; Zhang, J; Shen, HT
2023-02-27WSDM 2023 Workshop on Interactive Recommender SystemsLiu, Y; Zhang, H; Sun, Z; Wang, S; Zhang, J