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ORCIDRichard S. Segall
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Journal Articles
- 2024
[j12]Richard S. Segall
, Prasanna Rajbhandari:
Image Processing of Big Data for Plant Diseases of Four Different Plant Categories: Represented by Rice, Banana, Sunflower, and Potato. Int. J. Comput. Vis. Image Process. 14(1): 1-32 (2024)- 2022
- [j11]Richard S. Segall, Vidhya Sankarasubbu:
Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools. Int. J. Artif. Intell. Mach. Learn. 12(1): 1-28 (2022) - [j10]Richard S. Segall, Vidhya Sankarasubbu:
Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious Diseases. Int. J. Artif. Intell. Mach. Learn. 12(2): 1-30 (2022) - 2021
- [j9]Gao Niu, Richard S. Segall, Zichen Zhao, Zhijian Wu:
A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities. Int. J. Open Source Softw. Process. 12(1): 1-20 (2021) - 2019
- [j8]Richard S. Segall, Jeffrey S. Cook, Gao Niu:
Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing. Int. J. Fog Comput. 2(1): 74-113 (2019) - 2018
- [j7]Richard S. Segall, Gao Niu:
Big Data and Its Visualization With Fog Computing. Int. J. Fog Comput. 1(2): 51-82 (2018) - 2013
- [j6]Shen Lu, Richard S. Segall:
Linkage in medical records and bioinformatics data. Int. J. Inf. Decis. Sci. 5(2): 169-187 (2013) - 2010
- [j5]Qingyu Zhang, Richard S. Segall:
Review of data, text and web mining software. Kybernetes 39(4): 625-655 (2010) - 2009
- [j4]Richard S. Segall, Qingyu Zhang:
Web mining technologies for customer and marketing surveys. Kybernetes 38(6): 925-949 (2009) - 2008
- [j3]Qingyu Zhang, Richard S. Segall:
Web Mining: a Survey of Current Research, Techniques, and Software. Int. J. Inf. Technol. Decis. Mak. 7(4): 683-720 (2008) - [j2]Richard S. Segall, Gauri S. Guha, Sarath A. Nonis:
Data mining of environmental stress tolerances on plants. Kybernetes 37(1): 127-148 (2008) - 1998
- [j1]Majid Jaraiedi, Richard S. Segall, Venkatramani Rajamohan:
Multi-class decision procedures for the inspection operation. Adv. Decis. Sci. 2(2): 159-175 (1998)
Conference and Workshop Papers
- 2016
- [c4]Thomas Hahn, Hidayat Ur Rahman, Richard S. Segall, Christoph Heim, Raphaela Brunson, Ankush Sharma, Maryam Aslam, Ana Lara-Rodriguez, Md. Sahidul Islam, Neha Gupta, Charles S. Embry, Patrick Grossmann, Shahrukh Babar, Gregory A. Skibinski, Fusheng Tang:
Remote Access Programs to Better Integrate Individuals with Disabilities. ASSETS 2016: 245-250 - [c3]Hidayat Rahman, Thomas Hahn, Richard S. Segall:
Advanced Feature-Driven Disease Named Entity Recognition Using Conditional Random Fields. BCB 2016: 469 - [c2]Thomas Hahn, Hidayat Ur Rahman, Richard S. Segall:
Disease Named Entity Recognition Using NCBI Corpus. ICBO/BioCreative 2016 - [c1]Thomas Hahn, Hidayat Rahman, Richard S. Segall:
Disease Named Entity Recognition Using Conditional Random Fields. SMBM 2016: 37-41
Parts in Books or Collections
- 2010
- [p1]Qingyu Zhang, Richard S. Segall:
Commercial Data Mining Software. Data Mining and Knowledge Discovery Handbook 2010: 1245-1268
Reference Works
- 2009
- [r1]Richard S. Segall:
Comparing Four-Selected Data Mining Software. Encyclopedia of Data Warehousing and Mining 2009: 269-277
Informal and Other Publications
- 2024
- [i1]Peng-Hung Tsai, Daniel Berleant, Richard S. Segall, Hyacinthe Aboudja, Venkata Jaipal R. Batthula, Sheela Duggirala, Michael Howell:
Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods. CoRR abs/2401.02549 (2024)
Coauthor Index
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