my thick data analytics research (nserc and mitacs)

describing the notion of thick data analytics?

thick data is a concept that employ heuristics and qualitative data (like observations, feelings, reactions, conversation outcomes) to provide more in depth insights and reveals hidden patterns that can be missed with quantitative techniques. this research is supported by my two nserc (2004, 2020). it has significant impact on data analytics and pattern recognition in the modern conversational and explainable artificial intelligence. thick data analytics aims at discovering the added-value heuristics to answer focused questions that can be missed by the quantitative analytic techniques including machine learning and deep learning.

new ethics approval to apply thick data analytics with tbrhsc

important publications on thick data

1. fiaidhi, j., & mohammed, s. (2019). thick data: a new qualitative analytics for identifying customer insights. ieee it professional, 21(3), 4-13.
https://ieeexplore.ieee.org/abstract/document/8720138

2. fiaidhi, jinan. "envisioning insight-driven learning based on thick data analytics with focus on healthcare." ieee access 8 (2020): 114998-115004.
https://ieeexplore.ieee.org/abstract/document/9104899

3. fiaidhi, jinan, and sabah mohammed. "virtual care for cyber–physical systems (vh_cps): node-red, community of practice and thick data analytics ecosystem." computer communications 170 (2021): 84-94.
https://www.sciencedirect.com/science/article/abs/pii/s0140366421000505

4. fiaidhi, j., and s. mohammed. "prognosis analysis of thick data: clustering heart diseases risk groups case study." computers & electrical engineering 92 (2021): 107187.
https://www.sciencedirect.com/science/article/abs/pii/s0045790621001889

5.fiaidhi, jinan, sabah mohammed, and simon fong. "orchestration of thick data analytics based on conversational workflows in healthcare community of practice." in 2020 ieee international conference on big data (big data), pp. 4859-4865. ieee, 2020.
https://ieeexplore.ieee.org/abstract/document/9377848

6. sawyer, darien, jinan fiaidhi, and sabah mohammed. "few shot learning of covid-19 classification based on sequential and pretrained models: a thick data approach." in 2021 ieee 45th annual computers, software, and applications conference (compsac), pp. 1832-1836. ieee, 2021.
https://ieeexplore.ieee.org/document/9529642

7. wadiwala, tejas, jinan fiaidhi, and sabah mohammed. "thick data analytics through ensemble techniques: identifying personalized eeg biometrics based on eye state prediction." (2020).asia-pacific journal of convergent research interchange,vol. 6, no. 4, 2020
http://fucos.or.kr/journal/apjcri/articles/v6n10/4.pdf

8. trikha, vikas, jinan fiaidhi, and sabah mohammed. "identifying eeg binary limb motor imagery movements using thick data analytics." journal of asia-pacific fusion research exchanges (apjcri) 6, no. 9 (2020): 169-189.
https://web.archive.org/web/20201106004125id_/http://fucos.or.kr/journal...

9. mohammed, sabah, and jinan fiaidhi. "the rise of telehealth, streaming, and thick data analytics.", ijeach, vol 2, no. 3, 2020
https://www.igi-global.com/pdf.aspx?tid%3d271448%26ptid%3d254455%26ctid%...

10. jinan fiaidhi, petros zezos, sabah mohammed, thick data analytics for rating ulcerative colitis severity using small endoscopy image sample, ieee big data 2021, december 15-18, 2021, https://ieeexplore.ieee.org/abstract/document/9671327

11. fiaidhi, jinan, darien sawyer, and sabah mohammed. "thick data analytics for small training samples using siamese neural network and image augmentation." in liss 2021, pp. 57-66. springer, singapore, 2022.

https://link.springer.com/chapter/10.1007/978-981-16-8656-6_6

12. jinan fiaidhi, sabah mohammed and petros zezos, siamese neural network for labeling severity of ulcerative colitis video colonoscopy: a thick data approach, intellisys 2022, amsterdam september 1-2, 2022, proceeding published by springer:

https://link.springer.com/chapter/10.1007/978-3-031-16072-1_9

13. fiaidhi, jinan, sabah mohammed, and petros zezos. "an xai thick data assisted caption generation for labeling severity of ulcerative colitis video colonoscopy." in 2022 ieee 10th international conference on healthcare informatics (ichi), pp. 647-652. ieee, 2022.

https://ieeexplore.ieee.org/abstract/document/9874637

14. fiaidhi, jinan, sabah mohammed, and petros zezos."an investigation into crohn's disease lesions variability sensing using video colonoscopy and machine learning techniques", ieee healthcom 2022, genoa, italy, oct 17-19, 2022

https://ieeexplore.ieee.org/abstract/document/9982753

15. greg roy, jinan fiaidhi and sabah mohammed, multi-timeframe algorithmic trading bots using thick data heuristics with deep reinforcement learning. artificial intelligence evolution journal, 2022 nov. 12 [cited 2022 nov. 21];3(2):107-59.

https://ojs.wiserpub.com/index.php/aie/article/view/1722

16. thick data techniques for identifying abnormality in video frames for wireless capsule endoscopy, jinan fiaidhi, sabah mohammed and petros zezos, ieee big data 2022, dec. 17-20, 2022 osaka, japan.

link to ieee big data 2022:https://bigdataieee.org/bigdata2022/bigdata2022_program.pdf

17. learning cataract severity from small sample of anchor images: a thick data approach, jinan fiaidhi and sabah mohammed, ieee 22nd international conference on cognitive informatics and cognitive computing (icci*cc 2023), standford university, august 19-21, 2023

link to ieee icci*cc2023 standford university: https://www.i2cicc.org/ieee-iccicc23/program-and-keynotes