| 查看: 5649 | 回复: 15 | |||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | |||
[交流]
【2023-09-15】【Scopus WoS】第三十九届 ACM Symposium on Applied Computing - GMLR
|
|||
|
会议城市 阿维拉，西班牙 收录 scopus，acm，wos 收录 截稿日期 2023年9月15日 https://phuselab.di.unimi.it/gmlr2024 2024年第三十九届 acm symposium on applied computing (sac 2024) graph models for learning and recognition (gmrl) track 将于2024年4月8日至12日在西班牙阿维拉市召开。 会议主题 the acm symposium on applied computing (sac 2024) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. sac 2024 is sponsored by the acm special interest group on applied computing (sigapp), and will be held in avila, spain. the technical track on graph models for learning and recognition (gmlr) is the third edition and is organized within sac 2024. graphs have gained a lot of attention in the pattern recognition community thanks to their ability to encode both topological and semantic information. despite their invaluable descriptive power, their arbitrarily complex structured nature poses serious challenges when they are involved in learning systems. some (but not all) of challenging concerns are: a non-unique representation of data, heterogeneous attributes (symbolic, numeric, etc.), and so on. in recent years, due to their widespread applications, graph-based learning algorithms have gained much research interest. encouraged by the success of cnns, a wide variety of methods have redefined the notion of convolution and related operations on graphs. these new approaches have in general enabled effective training and achieved in many cases better performances than competitors, though at the detriment of computational costs. typical examples of applications dealing with graph-based representation are: scene graph generation, point clouds classification, and action recognition in computer vision; text classification, inter-relations of documents or words to infer document labels in natural language processing; forecasting traffic speed, volume or the density of roads in traffic networks, whereas in chemistry researchers apply graph-based algorithms to study the graph structure of molecules/compounds. this track intends to focus on all aspects of graph-based representations and models for learning and recognition tasks. gmlr spans, but is not limited to, the following topics: ● graph neural networks: theory and applications ● deep learning on graphs ● graph or knowledge representational learning ● graphs in pattern recognition ● graph databases and linked data in ai ● benchmarks for gnn ● dynamic, spatial and temporal graphs ● graph methods in computer vision ● human behavior and scene understanding ● social networks analysis ● data fusion methods in gnn ● efficient and parallel computation for graph learning algorithms ● reasoning over knowledge-graphs ● interactivity, explainability and trust in graph-based learning ● probabilistic graphical models ● biomedical data analytics on graphs the track committee is working to organize a journal special issue, to which the authors of selected top papers of this track will be invited for an extended version. 程序委员会主席 alessandro d'amelio (university of milan) giuliano grossi (university of milan) raffaella lanzarotti (university of milan) jianyi lin (università cattolica del sacro cuore) 程序委员 laura-bianca bilius (university of suceava) sathya bursic (university of milano-bicocca) antonella carbonaro (university of bologna) vittorio cuculo (university of modena and reggio emilia) samuel feng (sorbonne university abu dhabi) gabriele gianini (university of milan) francesco isgrò (university of naples federico ii) sotirios kentros (salem state university) giosuè lo bosco (university of palermo) maurice pagnucco (university of new south wales) sabrina patania (university of milan) alessandro provetti (birkbeck university of london) jean-yves ramel (university of tours) ryan a. rossi (adobe research) alessandro sperduti (university of padua) (others to be confirmed) 征文要求 邀请作者提交未发表的原创研究论文和应用论文。论文正文不能包含作者姓名或地址，以便于双盲审查。投稿撰写论文必需是英语。 需要了解提交程序的更多信息，请查询会议网站。 sac报告缺席政策：录用并完成注册的全文和张贴将收录到会议论文集。如果本人无法参加，需请其他同事代做报告，否则全文不能被收入acm数字图书馆。 主要日期 论文全文截稿期已延长至 ：2023年9月15日 录用通知期 ：2023年10月30日 录用论文camera-ready （终稿版）提交日期: 2023年11月30日 sac大会日期: 2024年4月8日至12日 论文投稿网站: https://www.sigapp.org/sac/sac2024/submission.php 征文启事pdf英文版: https://tiny.cc/gmlr2024-cfp 截稿日期延长 论文全文截稿期已延长至 ：2023年9月29日 征文启事pdf英文版: https://tiny.cc/GMLR2024-CfP-2 [ Last edited by giannilin on 2023-9-18 at 05:44 ] |
回复此楼» 猜你喜欢
售SCI一区文章，我:8.O.551.O.5.4,科目全,可伽急
已经有6人回复
-
售SCI一区T0P文章，我:8.O.55.1.O.5.4,科目全,可+急
已经有7人回复
-
售SCI一区文章，我:8.O.55.1.O.54,科目齐全,可伽急
已经有12人回复
-
售SCI一区T0P文章，我:8.O55.1.O.54,科目全,可十急
已经有7人回复
-
售SCI一区T0P文章，我:8.O55.1.O.54,科目全,可十急
已经有14人回复
-
面上意见出来了
已经有18人回复
-
有多少人是今天查系统知道结果的？
已经有19人回复
-
能否申诉？
已经有4人回复
-
找导师
已经有7人回复
-
售SCI文章，我:8O5.5.1.O.54,科目齐全,可+急
已经有4人回复
» 抢金币啦！回帖就可以得到:
-
云南大学丁军桥团队2027年博士招生
+1/1984
-
面上中了，散金币。
+5/1730
-
八年奋战，面上中了，同时一个读了8年的博士（中途接手）答辩通过了，都是涉险过关
+2/432
-
散金币祈福
+5/343
-
货币银行学通俗教材版（一部超越哈耶克的经济学）
+1/249
-
【毕业前夕，畅谈科研】文集
+1/163
-
今日少年明日老。
+1/99
-
很认可这句话
+1/99
-
原子层沉积（ALD）磁控溅射PECVD等微纳代工服务：18817872921
+1/94
-
厦门大学崔明旭课题组招收2027届推免硕士/直博与申请考核博士生（金属有机、高分子）
+1/33
-
招收CSC博士生（2027年9月入学）
+1/8
-
香港科技大学(广州) 强化学习、机器人、具身智能方向等方向硕博-27 spring fall
+1/7
-
南京航空航天大学激光焊接与再制造技术研究所招收2027年博士研究生
+1/6
-
2026年工程管理与智慧城市国际会议 (EMSC 2026)
+1/4
-
项目助理招聘启事
+1/2
-
天津大学李轶：氢键有机框架：无贵金属原位产双氧水，实现自供电污水深度净化
+1/2
-
寻求合作【出版代理】兼职推广｜无需坐班｜一单5000元
+1/2
-
专利审查意见答复，是AI辅助生成中很难的一个功能...
+1/2
-
寻求合作【大学教师】兼职出版顾问｜无需坐班｜一单5000元
+1/1
-
厦大化院海优团队招收2027级【博士】和【推免硕士】研究生各2名
+1/1
★
giannilin(金币+2): 谢谢参与
giannilin(金币+2): 谢谢参与
|
本帖内容被屏蔽 |
4楼2023-07-19 05:04:30
chenhuanlong
禁虫 (文学泰斗)
★
giannilin(金币+2): 谢谢参与
giannilin(金币+2): 谢谢参与
|
本帖内容被屏蔽 |
5楼2023-07-19 09:21:26
9楼2023-08-27 07:21:27
12楼2026-08-04 13:39:21
简单回复
nono20098楼
2023-08-22 23:15
回复
giannilin(金币+2): 谢谢参与
。 发自小木虫Android客户端
2023-07-17 19:10
回复
giannilin(金币+2): 谢谢参与
l 发自小木虫IOS客户端
2023-07-19 22:00
回复
tzynew2楼
2023-07-17 18:52
回复
giannilin(金币+2): 谢谢参与
j 发自小木虫Android客户端
