{"id":31363,"date":"2021-12-15T14:56:02","date_gmt":"2021-12-15T07:56:02","guid":{"rendered":"https:\/\/testweb.gymadom.com\/nhom-sinh-vien-khoa-cntt-cong-bo-tai-tap-chi-khoa-hoc-quoc-te-uy-tin-duoc-xep-hang-q1-tap-chi-neural-computing-and-applications\/"},"modified":"2023-01-16T11:06:22","modified_gmt":"2023-01-16T04:06:22","slug":"nhom-sinh-vien-khoa-cntt-cong-bo-tai-tap-chi-khoa-hoc-quoc-te-uy-tin-duoc-xep-hang-q1-tap-chi-neural-computing-and-applications","status":"publish","type":"post","link":"https:\/\/gymadom.com\/nhom-sinh-vien-khoa-cntt-cong-bo-tai-tap-chi-khoa-hoc-quoc-te-uy-tin-duoc-xep-hang-q1-tap-chi-neural-computing-and-applications\/","title":{"rendered":"Nh\u00f3m sinh vi\u00ean khoa CNTT c\u00f4ng b\u1ed1 t\u1ea1i t\u1ea1p ch\u00ed khoa h\u1ecdc qu\u1ed1c t\u1ebf uy t\u00edn \u0111\u01b0\u1ee3c x\u1ebfp h\u1ea1ng Q1 – T\u1ea1p ch\u00ed Neural Computing and Applications"},"content":{"rendered":"
<\/span>CH\u00daC M\u1eeaNG NH\u00d3M SINH VI\u00caN TR\u01af\u1edcNG \u0110H KHOA H\u1eccC T\u1ef0 NHI\u00caN V\u1eeaA C\u00d3 C\u00d4NG B\u1ed0 KHOA H\u1eccC TR\u00caN T\u1ea0P CH\u00cd QU\u1ed0C T\u1ebe UY T\u00cdN Q1<\/p>\n <\/span> Hai sinh vi\u00ean Nguy\u1ec5n Duy Kh\u00e1nh v\u00e0 L\u00ea Minh Nh\u1eadt c\u1ee7a Ch\u01b0\u01a1ng tr\u00ecnh C\u1eed nh\u00e2n T\u00e0i n\u0103ng, Khoa C\u00f4ng ngh\u1ec7 Th\u00f4ng tin – Tr\u01b0\u1eddng \u0110H Khoa h\u1ecdc T\u1ef1 nhi\u00ean (\u0110HQG-HCM), \u0111\u00e3 c\u00f3 b\u00e0i b\u00e1o \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 t\u1ea1i T\u1ea1p ch\u00ed Neural Computing and Applications (NXB Springer) v\u1ec1 l\u0129nh v\u1ef1c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 m\u00e1y h\u1ecdc. \u0110\u00e2y l\u00e0 t\u1ea1p ch\u00ed khoa h\u1ecdc qu\u1ed1c t\u1ebf uy t\u00edn \u0111\u01b0\u1ee3c x\u1ebfp h\u1ea1ng Q1 trong danh m\u1ee5c ISI v\u1edbi h\u1ec7 s\u1ed1 \u1ea3nh h\u01b0\u1edfng IF cao 5.606. <\/span>B\u00e0i b\u00e1o mang t\u00ean \u201cGlobal-local attention for emotion recognition\u201d (t\u1ea1m d\u1ecbch: \u201cC\u01a1 ch\u1ebf t\u1eadp trung t\u1ed5ng quan-c\u1ee5c b\u1ed9 cho b\u00e0i to\u00e1n nh\u1eadn di\u1ec7n c\u1ea3m x\u00fac\u201d). \ufe0f<\/p>\n <\/p>\n <\/span>B\u00e0i b\u00e1o nh\u1eb1m gi\u1ea3i quy\u1ebft b\u00e0i to\u00e1n nh\u1eadn di\u1ec7n c\u1ea3m x\u00fac con ng\u01b0\u1eddi t\u1eeb th\u00f4ng tin h\u00ecnh \u1ea3nh, trong \u0111\u00f3 t\u1eadn d\u1ee5ng th\u00f4ng tin bi\u1ec3u c\u1ea3m khu\u00f4n m\u1eb7t \u0111\u1ec3 h\u1ed7 tr\u1ee3 tr\u00edch xu\u1ea5t nh\u1eefng v\u00f9ng b\u1ed1i c\u1ea3nh quan tr\u1ecdng trong vi\u1ec7c d\u1ef1 \u0111o\u00e1n c\u1ea3m x\u00fac s\u1eed d\u1ee5ng c\u01a1 ch\u1ebf t\u1eadp trung (attention mechanism). B\u1eb1ng vi\u1ec7c tr\u00edch xu\u1ea5t v\u00e0 k\u1ebft h\u1ee3p m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3 th\u00f4ng tin t\u1eeb khu\u00f4n m\u1eb7t v\u00e0 b\u1ed1i c\u1ea3nh xung quanh, m\u00f4 h\u00ecnh \u0111\u1ec1 xu\u1ea5t \u0111\u1ea1t \u0111\u01b0\u1ee3c k\u1ebft qu\u1ea3 t\u1ed1t h\u01a1n so v\u1edbi c\u00e1c m\u00f4 h\u00ecnh t\u1ed1t nh\u1ea5t c\u00f4ng b\u1ed1 tr\u01b0\u1edbc \u0111\u00f3 (state-of-the-art), c\u1ea3 v\u1ec1 m\u1eb7t \u0111\u1ecbnh t\u00ednh v\u00e0 \u0111\u1ecbnh l\u01b0\u1ee3ng.<\/p>\n <\/span>C\u00f4ng tr\u00ecnh \u0111\u01b0\u1ee3c s\u1ef1 h\u01b0\u1edbng d\u1eabn c\u1ee7a GS.TS L\u00ea Ho\u00e0i B\u1eafc – Tr\u01b0\u1edfng B\u1ed9 m\u00f4n Khoa h\u1ecdc m\u00e1y t\u00ednh, Khoa C\u00f4ng ngh\u1ec7 th\u00f4ng tin, Tr\u01b0\u1eddng \u0110H Khoa h\u1ecdc t\u1ef1 nhi\u00ean va\u0300 TS. Nguy\u1ec5n Quang Anh – B\u1ed9 m\u00f4n Khoa h\u1ecdc m\u00e1y t\u00ednh, \u0110\u1ea1i h\u1ecdc Liverpool (Anh), c\u1ef1u sinh vi\u00ean Tr\u01b0\u1eddng \u0110H Khoa h\u1ecdc T\u1ef1 nhi\u00ean. T\u1ea1p ch\u00ed Neural Computing and Applications c\u00f4ng b\u1ed1 c\u00e1c c\u00f4ng tr\u00ecnh khoa h\u1ecdc li\u00ean quan \u0111\u1ebfn c\u00e1c ch\u1ee7 \u0111\u1ec1 nh\u01b0 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, m\u00e1y h\u1ecdc, v\u00e0 c\u00e1c h\u1ec7 th\u1ed1ng th\u00f4ng minh. \u0110\u00e2y l\u00e0 t\u1ea1p ch\u00ed qu\u1ed1c t\u1ebf c\u00f3 uy t\u00edn n\u00ean qu\u00e1 tr\u00ecnh x\u00e9t duy\u1ec7t kh\u1eafc khe v\u00e0 ch\u1eb7t ch\u1ebd. \u0110\u1ed1i v\u1edbi b\u00e0i b\u00e1o n\u00e0y, qu\u00e1 tr\u00ecnh x\u00e9t duy\u1ec7t m\u1ea5t 1 n\u0103m, k\u1ec3 t\u1eeb ng\u00e0y n\u1ed9p b\u00e0i \u0111\u1ebfn ng\u00e0y ch\u1ea5p nh\u1eadn \u0111\u0103ng.<\/p>\n