A case for user-level interrupts. - Michael Parker (SIGARCH Comput. Archit. News, 2002)

Protein Secondary Structure Prediction Using Support Vector Machines and a New Feature Representation. - Jayavardhana Gubbi; Daniel T. H. Lai; Marimuthu Palaniswami; Michael Parker (Int. J. Comput. Intell. Appl., 2006)

Real Value Solvent Accessibility Prediction using Adaptive Support Vector Regression. - Jayavardhana Gubbi; Alistair Shilton; Marimuthu Palaniswami; Michael Parker (CIBCB, 2007)

Solving Protein Structures Using Molecular Replacement Via Protein Fragments. - Jayavardhana Gubbi; Michael Parker; Marimuthu Palaniswami (WILF, 2007)

GridJet: An underlying data-transporting protocol for accelerating Web communications. - Frank Zhigang Wang; Na Helian; Sining Wu; Yuhui Deng; Vineet R. Khare; Michael Parker (Comput. Networks, 2007)

Grid-based Data Access to Nucleotide Sequence Database. - Frank Zhigang Wang; Sining Wu; Na Helian; Zhiwei Xu 003; Yuhui Deng; Vineet R. Khare; Chenhan Liao; Christopher P. Thompson; Michael Parker (New Gener. Comput., 2007)

Ethical and Moral Dimensions of e-Research. - Michael Parker (World Wide Research, 2010)

Floating point processing using FPGAs. - Michael Parker (Hot Chips Symposium, 2012)

An FPGA-based digital control development method for power electronics. - Ezana T. Mekonnen; Jason Katcha; Michael Parker (IECON, 2012)

Passive data collection and use in healthcare: A systematic review of ethical issues. - Nicole A. Maher; Joeky Tamba Senders; Alexander F. C. Hulsbergen; Nayan Lamba; Michael Parker; Jukka-Pekka Onnela; Annelien L. Bredenoord; Timothy R. Smith; Marike Lianne Daphne Broekman (Int. J. Medical Informatics, 2019)

Origins of the D programming language. - Walter Bright; Andrei Alexandrescu; Michael Parker (Proc. ACM Program. Lang., 2020)

Embedded Compute Matrix Processing and FFTs using Floating Point FPGAs. - Michael Parker (HPEC, 2021)

Machine Learning at the Edge Using Neural Network Processor. - Edwin Lee; Michael Parker; Michael Cervantes; Ben Plotner (HPEC, 2023)

A Mixture Quantitative Randomized Response Model That Improves Trust in RRT Methodology. - Michael Parker; Sat Gupta; Sadia Khalil (Axioms, 2024)