Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset Based on Active Learning

Nazmus Sakib, G. M. Shahariar, Md. Mohsinul Kabir, Md. Kamrul Hasan 0006, Hasan Mahmud. Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset Based on Active Learning. In Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin, editors, Machine Intelligence and Emerging Technologies - First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II. Volume 491 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 188-203, Springer, 2022. [doi]

@inproceedings{SakibSK0M22,
  title = {Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset Based on Active Learning},
  author = {Nazmus Sakib and G. M. Shahariar and Md. Mohsinul Kabir and Md. Kamrul Hasan 0006 and Hasan Mahmud},
  year = {2022},
  doi = {10.1007/978-3-031-34622-4_15},
  url = {https://doi.org/10.1007/978-3-031-34622-4_15},
  researchr = {https://researchr.org/publication/SakibSK0M22},
  cites = {0},
  citedby = {0},
  pages = {188-203},
  booktitle = {Machine Intelligence and Emerging Technologies - First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II},
  editor = {Md. Shahriare Satu and Mohammad Ali Moni and M. Shamim Kaiser and Mohammad Shamsul Arefin},
  volume = {491},
  series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  publisher = {Springer},
  isbn = {978-3-031-34622-4},
}