Multi-class decision procedures for the inspection operation. - Majid Jaraiedi; Richard S. Segall; Venkatramani Rajamohan (Adv. Decis. Sci., 1998)

Web Mining: a Survey of Current Research, Techniques, and Software. - Qingyu Zhang; Richard S. Segall (Int. J. Inf. Technol. Decis. Mak., 2008)

Data mining of environmental stress tolerances on plants. - Richard S. Segall; Gauri S. Guha; Sarath A. Nonis (Kybernetes, 2008)

Web mining technologies for customer and marketing surveys. - Richard S. Segall; Qingyu Zhang (Kybernetes, 2009)

Comparing Four-Selected Data Mining Software. - Richard S. Segall (Encyclopedia of Data Warehousing and Mining, 2009)

Review of data, text and web mining software. - Qingyu Zhang; Richard S. Segall (Kybernetes, 2010)

Commercial Data Mining Software. - Qingyu Zhang; Richard S. Segall (Data Mining and Knowledge Discovery Handbook, 2010)

Linkage in medical records and bioinformatics data. - Shen Lu; Richard S. Segall (Int. J. Inf. Decis. Sci., 2013)

Remote Access Programs to Better Integrate Individuals with Disabilities. - Thomas Hahn; Hidayat Ur Rahman; Richard S. Segall; Christoph Heim; Raphaela Brunson; Ankush Sharma 002; Maryam Aslam; Ana Lara-Rodriguez; Md. Sahidul Islam; Neha Gupta; Charles S. Embry; Patrick Grossmann; et al. (ASSETS, 2016)

Advanced Feature-Driven Disease Named Entity Recognition Using Conditional Random Fields. - Hidayat Rahman; Thomas Hahn; Richard S. Segall (BCB, 2016)

Disease Named Entity Recognition Using NCBI Corpus. - Thomas Hahn; Hidayat Ur Rahman; Richard S. Segall (ICBO/BioCreative, 2016)

Disease Named Entity Recognition Using Conditional Random Fields. - Thomas Hahn; Hidayat Rahman; Richard S. Segall (SMBM, 2016)

Big Data and Its Visualization With Fog Computing. - Richard S. Segall; Gao Niu (Int. J. Fog Comput., 2018)

Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing. - Richard S. Segall; Jeffrey S. Cook; Gao Niu (Int. J. Fog Comput., 2019)

A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities. - Gao Niu; Richard S. Segall; Zichen Zhao; Zhijian Wu (Int. J. Open Source Softw. Process., 2021)

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools. - Richard S. Segall; Vidhya Sankarasubbu (Int. J. Artif. Intell. Mach. Learn., 2022)

Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious Diseases. - Richard S. Segall; Vidhya Sankarasubbu (Int. J. Artif. Intell. Mach. Learn., 2022)

Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods. - Peng-Hung Tsai; Daniel Berleant; Richard S. Segall; Hyacinthe Aboudja; Venkata Jaipal R. Batthula; Sheela Duggirala; Michael Howell (CoRR, 2024)

Image Processing of Big Data for Plant Diseases of Four Different Plant Categories: Represented by Rice, Banana, Sunflower, and Potato. - Richard S. Segall; Prasanna Rajbhandari (Int. J. Comput. Vis. Image Process., 2024)

Big Data Integration in Genomic Analysis: Applications to Genetically Modified Corn (Zea Mays). - Richard S. Segall; Prasanna Rajbhandari (Int. J. Big Data Intell. Appl., 2025)