- LaTeX书写时需要注意希腊符号的写法比如$\Rho$与 $\emptyset$
- 文章中的数组、矩阵都需要加粗表示
- 文章不能够口语化，比如“the first thing that our mind can reach is putting the two penalty items…”，这样的句子就是不能够在文章中出现的
- 不同文章对文中文献引用顺序的要求不同
- 论文要有大背景、论文内容无时无刻都需要与大背景相呼应、实际应用背景要在论文、答辩中重点体现，切忌做没有实际应用场景的论文
- 文章中的所有公式都需要加上序号便于讨论，If all equations were numbered, it would facilitate the discussion…
- 论文从封皮开始到结论正式结束，所以不相关的如：致谢、术语表等需要附加在结论之后
- 论文章节开头需要有一个概括即对该章节做的事情进行一个概述、章节结尾需要对该章节所做事情进行总结、第一章需要对论文组织结构进行叙述
- 论文中各定义、引用应当明确出处
- 单词拼写、英语语法
- 论文内容的完整性、来龙去脉要清楚
- 论文章节的名字是至关重要的，要确定好
- 对于论文中实验进行的次数要说明为什么
- 实验中的图表顺序要一致
- 图表尽最大限度的靠近相应的文字描述
- 关键词要很好的概括整个文章即能够让别人能够查找到你的论文，同时也不是什么词都可以作为关键词的
- PPT中对于被举例的数据集要给出标签，清晰、明确的标明
- PPT中对于最优结果要采用加粗等醒目的方式进行标识
- 论文答辩应该在20min左右
- 算法中非必须情况下不要使用if…else…分支语句
- 每个公式中的符号的解释要和前方一致，不要有重复，更不要漏掉某一符号的解释
- 两种方法进行性能比较，不要仅仅说“很快”、”很少”之类的，最好能够说明是多少倍即最好有个数字比较，会更加的清晰直观
- 论文行文规范要弄好，要说好英语
- Avoid the “we” that gives less credit to yourself for the work. Say something like “the goal of the internship was to combine…”
- Be more confident. If you want, you can say “I have worked on the optimization”. This is your work, you have done a good job and this is normal to be helped by your supervisor. No need to mention it, it gives you less credits.
- Here it looks like you are having a conversation with the reader.
- put the formula closer to the text where is it mentioned. It is weird to have it so far.
- Why is it so obvious
- I don’t see why you speak of fuzzy, then pass to plausibility and come back again of fuzzy.
- Don’t use ‘I’, except if you want in conclusion
- It is very complicated to see examples that are not close to the text. Try to make them appear in the same page
- put a line to differenciate mass with T
- Do not use “we” because this is a previous work not yours.
- It is code and debug not for your master report.
- ref. [1] is incomplete. You should give the publisher (Springer), the address (Compiègne, etc.)
- The English is understandable, but it should be polished.
- “none evidential clustering” -> “no evidential clustering”
- “The evidence theory” -> “Evidence theory”
- “this allows to…” -> “this allows us to…”
- “experimentations” -> “experiments”
- “Obtained results” -> “Our results”
- “The more constrained are added, the better are the performances”.
- “….defined equation…” -> “defined in equation”
- “It can be observed from (5), the three penalty…” -> “…from (5), that the three…”
- In general, number less than 10 must be spelled: “five”, “three”, etc.
- “5 executions” -> “five runs”
- ==A preliminary== evaluation seems to indicate that there could be some benefits from the proposed method.
- that not a more extensive experimentation has been conducted and that the software is missing. As it is now, the results cannot be replicated and the software is missing.
- My main concern about the paper is related to the lack of information about the computational cost of this algorithm.
- In my opinion this is important to know what is the cost to pay in order to get the benefits of this algorithm.
- In the slides, something can not appear before defination
- 标题应体现论文核心工作和主要贡献。“文不对题”是抽检时重点关注问题。
- 关键词按相关度排列，最相关的排在前面。这是遴选抽检专家的依据，否则可能导致专家不对口。
- 摘要中要明确选题背景，意义，以及核心工作。
- 正文加强规范性、严谨性和逻辑性。这是评审专家的第一印象，是影响评分的决定性因素。此方面出问题可能直接导致不及格。（已有先例）
- 目录中各章节标题不能过于简短，需反映本章节主要工作。
- 论文中本人的工作篇幅不宜过短，应30页以上。
- 绪论应首先介绍课题来源，列出受哪些项目资助（脱密）。充分介绍课题的实际需求、学术意义和实用价值。
- 表格三线；图为本人绘制，禁止拷贝；页面不能留白。
- 他人工作需标出文献出处；本人工作应明确写出“本文提出……”。
- 明确给出实验数据来源；算法描述不能过于空泛，需体现工作量。
- 实验不能过于简练，需多组实验。尽量与相关工作比较，体现优势。结果分析充分，评价需客观。
- 结论凝练出本文贡献，指出不足，下一步工作。
- 参考文献中近三年的不低于30%。网址不能列入。
- 作者和导师签名必须是亲笔签名。
- 论文指导教授应避免挂名现象，否则出现论文质量问题责任不清。
