Interative Blind Deconvolution of Extended Objects. - David S. C. Biggs; Mark Andrews (ICIP (2), 1997)

Changing markets, changing relationships: How libraries and vendors respond to the "next generation" challenge. - Mark Andrews (Libr. Hi Tech, 2007)

Abundance guided endmember selection: An algorithm for unmixing hyperspectral data. - Shaun Dowler; Mark Andrews (ICIP, 2010)

The Hidden Markov Topic Model: A Probabilistic Model of Semantic Representation. - Mark Andrews; Gabriella Vigliocco (Top. Cogn. Sci., 2010)

On the Convergence of N-FINDR and Related Algorithms: To Iterate or Not to Iterate? - Shaun Dowler; Mark Andrews (IEEE Geosci. Remote. Sens. Lett., 2011)

And Now for Something Completely Different: Python in Cognitive Science. - Mark Andrews; Jesse Diaz (CogSci, 2012)

Probabilistic Language Modeling with Hidden Stochastic Automata. - Mark Andrews (CogSci, 2013)

Reducing the Complexity of the N-FINDR Algorithm for Hyperspectral Image Analysis. - Shaun Dowler; Reymond Takashima; Mark Andrews (IEEE Trans. Image Process., 2013)

Compressed hyperspectral image recovery via total variation regularization assuming linear mixing. - Duncan T. Eason; Mark Andrews (ICIP, 2014)

Blind spectral unmixing for compressive hyperspectral imaging of highly mixed data. - William Y. L. Lee; Mark Andrews (ICIP, 2014)

Unsupervised image analysis for zebrafish embryogenesis using lab-on-a-chip embryo arrays. - Kevin I-Kai Wang; Mark Andrews; Zoran Salcic; Alice Bates; Travis Scott; Jin Akagi; Donald Wlodkowic (Int. J. Comput. Appl. Technol., 2014)

Reconciling Embodied and Distributional Accounts of Meaning in Language. - Mark Andrews; Stefan L. Frank; Gabriella Vigliocco (Top. Cogn. Sci., 2014)

Shape simplification through polygonal approximation in the Fourier domain. - Mark Andrews; Ramakrishna Kakarala (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2015)

Total Variation Regularization via Continuation to Recover Compressed Hyperspectral Images. - Duncan T. Eason; Mark Andrews (IEEE Trans. Image Process., 2015)

A Bayesian Model of Memory for Text. - Mark Andrews (CogSci, 2017)

Deconstructing transitional probabilities: Bigram frequency and diversity in lexical decision. - Russell Turk; Gary Jones; Duncan Guest; Angela Young; Mark Andrews (CogSci, 2017)

Project Gatekeeper: An Entrance Control System Embedded Radiation Detection Capability for Security Applications. - Peter G. Martin; Yannick Verbelen; Elia Sciama Bandel; Mark Andrews; Thomas B. Scott 001 (Sensors, 2020)

Interoperable Domain Name System (DNS) Server Cookies. - Ondrej Sury; Willem Toorop; Donald E. Eastlake III; Mark Andrews (RFC, 2021)

DNS Glue Requirements in Referral Responses. - Mark Andrews; Shumon Huque; Paul Wouters; Duane Wessels (RFC, 2023)