1991-present

Journals

1. Sutton, M.A., White, L.J., Mbizo, J., & Stewart, G.L. (2009, in press). Assessment in online programs: Use in strategic planning for faculty/adjunct development and course instruction to improve faculty and student engagement. Accepted to appear in International Journal on E-Learning.

2. Rotunda, R.J., Kass, S.J., Sutton, M.A. & Leon, D.T. (2003). Internet use and misuse: Preliminary findings from a new assessment instrument. Behavior Modification, 27(4), 484-504.

3. Leon, D.T., Rotunda, R.J., Sutton, M.A. & Schlossman, C. (2003). Internet forewarning effects on ratings of attraction. Computers in Human Behavior, 19(1), 39-57.

4. Sentelle, S., Sentelle, C. & Sutton, M.A. (2002). Multiresolution-based segmentation of calcifications for the early detection of breast cancer. Real-Time Imaging: Special Issue on Imaging in Bioinformatics, 8(3), 237-252.

5. Sutton, M.A., Sentelle, S. & Rotunda, R. (2002). A pilot study in the analysis of digitized mammograms: Combining academic and commercial results on a public database. Journal of Women's Imaging, 4(1), 7-12.

6. Sutton, M.A., Stark, L. & Bowyer, K. (1998). Function from visual analysis and physical interaction: A methodology for recognition of generic classes of objects. Image and Vision Computing, 16(11), 745-763.
   [PDF, 19 pages, click here.]
   A summary of this work is also provided in the following dissertation:
   Sutton, M.A.. (1997). Function from Visual Analysis and Physical Interaction: A Methodology for Recognition of Generic Classes of Objects. (Doctoral dissertation, University of South Florida, 1997).
   [PDF, 152 pages, click here.]

7. Sutton, M.A., Stark, L. & Bowyer, K. (1994). GRUFF-3: Generalizing the domain of a function-based recognition system. Pattern Recognition, 27(12), 1743-1766.
   [PDF, 42 pages, click here.]
   This article was awarded an Honorable Mention Pattern Recognition Society Award as an outstanding contribution to Pattern Recognition journal.

Book Chapters

1. El-Sheikh, E.M., Mbizo, J., Stanny, C.J., Stewart, G.L., Sutton, M.A., White, L.J., & Williams, M.H. (2009, in press). Engaging faculty in the assessment process at the University of West Florida. In Maki, P.L. (Editor), Faculty Experiences with and Perspectives on Assessing Student Learning. Sterling, VA: Stylus.

2. Bowyer, K.W., Sutton, M.A., & Stark, L. (2009, in press). Object recognition through reasoning about functionality: A survey of related work. Accepted to appear in Dickinson, S. (Editor), Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press.

3. Sutton, M.A., Mbizo, J., Yoshihashi, A., & Hoyt, R.E. (2009). Imaging and communication in medical and public health informatics: Current issues and emerging trends. In Bankman, I.N. (Editor), Handbook of Medical Image Processing and Analysis, Second edition. Elsevier, Inc., 895-907.

4. Sutton, M.A. (2009). Image segmentation by fuzzy clustering: Methods and issues. In Bankman, I.N. (Editor), Handbook of Medical Image Processing and Analysis, Second edition. Elsevier, Inc., 91-111.

5. Sutton, M.A. & Stark, L. (2008). Function-based reasoning for goal-oriented image segmentation. In E. Rome et al. (Eds.): Affordance-Based Robot Control, Lecture Notes in Computer Science., Germany: Springer Berlin/Heidelberg, 159-172.

6. Sutton, M.A., Stark, L. & Hughes, K. (2002). Exploiting context in function-based reasoning. In G.D. Hager, H.I. Christensen, H. Bunke, and R. Klein (Eds.), Lecture Notes in Computer Science. Germany: Springer-Verlag Heidelberg, 357-373.

7. Sutton, M.A., Bezdek, J.C. & Cahoon, T.C. (2000). Image segmentation by fuzzy clustering: Methods and issues. In I.N. Bankman (Ed.), Handbook of Medical Imaging Processing and Analysis. San Diego, CA: Academic Press, Inc., 87-106.

8. Bezdek, J.C. & Sutton, M.A. (1999). Image processing in medicine. In H.-J. Zimmermann (Ed.), Practical Applications of Fuzzy Technologies. Boston, MA: Kluwer Academic Publishers, 363-416.

9. Sutton, M.A., Stark, L. & Bowyer, K. (1997). Representing and reasoning about object functionality: Towards an integrated approach. In R.C. Bolles, H. Bunke & H. Noltemeier (Eds.), Intelligent Robots: Sensing, Modeling, and Planning. Singapore: World Scientific Publishing, 180-197.
   [PDF, 18 pages, click here.]

10. Sutton, M.A., Stark, L. & Bowyer, K. (1996). Chapter 2: Related work. In L. Stark & K. Bowyer, Generic Object Recognition Using Form and Function. Singapore: World Scientific Publishing, 7-16.

    
    Sutton, M.A., Stark, L. & Bowyer, K. (1996). Chapter 3: The "knowledge primitives." In L. Stark & K. Bowyer, Generic Object Recognition Using Form and Function. Singapore: World Scientific Publishing, 17-26.

    Bennett, N., Sutton, M.A., Stark, L. & Bowyer, K. (1996). Chapter 4: The functional properties. In L. Stark & K. Bowyer, Generic Object Recognition Using Form and Function. Singapore: World Scientific Publishing, 27-32.

    Sutton, M.A., Stark, L. & Bowyer, K. (1996). Chapter 5: The "category definition tree." In L. Stark & K. Bowyer, Generic Object Recognition Using Form and Function. Singapore: World Scientific Publishing, 33-39.

    Sutton, M.A., Stark, L. & Bowyer, K. (1996). Chapter 6: The function-based analysis process. In L. Stark & K. Bowyer, Generic Object Recognition Using Form and Function. Singapore: World Scientific Publishing, 41-59.

    Sutton, M.A., Stark, L. & Bowyer, K. (1996). Chapter 7: Recognition results for complete 3-D shapes. In L. Stark & K. Bowyer, Generic Object Recognition Using Form and Function. Singapore: World Scientific Publishing, 61-66.

11. Sutton, M.A., Stark, L. & Bowyer, K. (1993). Function-based generic recognition for multiple object categories. In A.K. Jain & P.J. Flynn (Eds.), Three-Dimensional Object Recognition Systems. Amsterdam: Elsevier Science Publishers, 447-470.
    [PDF, 22 pages, click here.]

Books/eBooks, Associate Editor

1. Hoyt, R.E., Editor. Medical Informatics: Practical Guide for the Healthcare Professional 2008. (2008). Sutton, M.A. & Yoshihashi, A. (Associate Editors). 2nd Edition, 349 pages, Lulu.com. Sold as a paperback or an eBook. Purchase here. All proceeds donated to the UWF Foundation to promote medical informatics education in the United States and abroad.

2. Hoyt, R.E., Editor. Medical Informatics: Practical Guide for the Healthcare Professional 2007. (2007). Sutton, M.A. & Yoshihashi, A. (Associate Editors). 1st Edition, Lulu.com. Purchase here. All proceeds donated to the UWF Foundation to promote medical informatics education in the United States and abroad.

PhD Dissertation

• Sutton, M.A.. (1997). Function from Visual Analysis and Physical Interaction: A Methodology for Recognition of Generic Classes of Objects. (Doctoral dissertation, University of South Florida, 1997).
  [PDF, 152 pages, click here.]
  A summary of this work is also provided in the following journal article:
  Sutton, M.A., Stark, L. & Bowyer, K. (1998). Function from visual analysis and physical interaction: A methodology for recognition of generic classes of objects. Image and Vision Computing, 16(11), 745-763.

Conferences

1. Wells, D.L. El-Sheikh, E.M., Sutton, M.A., Di Santo, V., & Bennett, W.A. (2009, July 13-16). Automated image processing of X-radiographics of digestion in stingrays. Accepted to appear in Proceedings of the 2009 International Conference on Artificial Intelligence, USA.

2. Sutton, M.A., Deneke, L., Eme, J., Bennett, W. & Wray, F. (2003). Development and assessment of bioinformatics tools for species conservation and habitat management. In Titsworth, F. (Ed.), Proceedings of the 2003 IEEE Bioinformatics Conference, Piscataway, NJ: IEEE, Inc., 654-655.

3. Sentelle, S., Sentelle, C. & Sutton, M.A. (2003). Rapid segmentation of calcification clusters using multi-resolution guided fuzzy c-means and wavelet processing. In Peitgen, H.-O. (Ed.), IWDM 2002 6th International Workshop on Digital Mammography, Germany: Springer-Verlag Heidelberg, 414-416.

4. Sutton, M.A., Marin, A., Sentelle S., Wooldridge, S., Griffith, P. & Dell, C. (2001). Development and assessment of protocols for efficient utilization of large-scale digital mammography databases. In Yaffe, M.J. (Ed.), IWDM 2000 5th International Workshop on Digital Mammography, Madison, WI: Medical Physics Publishing, 777-784.

5. Cahoon, T.C., Sutton, M.A. & Bezdek, J.C. (2000). Breast cancer detection using image processing techniques. In Proceedings of FUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems, Piscataway, NJ: IEEE, Inc., 973-976.

6. Hutcheson, T., Sutton, M.A. & Bezdek, J.C. (1999). Small target classification in LADAR images with fuzzy templates. In Sadjadi, F.A. (Ed.), SPIE Proceedings 3718: Automatic Target Recognition IX. Bellingham, WA: SPIE Press, 172-180.

7. Kuncheva, L., Bezdek, J. & Sutton, M.A. (1998). On combining multiple classifiers by fuzzy templates. In Bezdek, J. & Hall, L.O. (Eds.), Proceedings of the IEEE Conference of the North American Fuzzy Information Processing Society, Piscataway, NJ: IEEE, Inc., 193-197.

8. Sutton, M.A. & Bezdek, J. (1998). Enhancement and analysis of digital mammograms using fuzzy models. In J.M. Selander (Ed.), SPIE Proceedings 3240: 26th Applied Imagery and Pattern Recognition (AIPR) Workshop: Exploiting New Image Sources and Sensors, Bellingham, WA: SPIE Press, 179-190.

9. Sutton, M.A., Bowyer, K. & Stark, L. (1996). Interactive confirmation of object functionality. In McDowell, J.K. (Ed.), Working Notes of the AAAI Workshop on Modeling and Reasoning With Function, Menlo Park, CA: AAAI Press, 117-120.
   [PDF, 4 pages, click here.]

10. Sutton, M.A., Liu, H., Stark, L. & Bowyer, K. (1995). Towards a domain-independent function-based recognition system. In Stewman, J.H. (Ed.), Proceedings of the Florida Artificial Intelligence Research Symposium, St. Petersburg, FL: Florida AI Research Society, 294-298.
    [PDF, 5 pages, click here.]

11. Sutton, M.A., Stark, L. & Bowyer, K. (1992). "We do dishes, but we don't do windows": Function-based modeling and recognition of rigid objects. In Casasent, D.P. (Ed.), Proceedings of the SPIE Workshop on Intelligent Robots and Computer Vision XI: Algorithms, Techniques and Active Vision, Bellingham, WA: SPIE Press, 132-143.

12. Sutton, M.A., Stark, L. & Bowyer, K. (1992). A short survey: What is a "generic" object model for computer vision? In Fishman, M.B. (Ed.), Proceedings of the Florida Artificial Intelligence Research Symposium, St. Petersburg, FL: Florida AI Research Society, 252-256.
    [PDF, 10 pages, click here.]

13. Sutton, M.A., Stark, L. & Bowyer, K. (1991). Capturing function in a generic representation scheme. In Proceedings of the 8th Israeli Symposium on Artificial Intelligence and Computer Vision, Jerusalem: Color Print Press, 97-111.

Presentations

1. Dawson, D., Schwatz, M. & Sutton, M.A. (2009, February 6, Invited). Invited presentation to Techniques for Enhancing Online Teaching and Learning, Center for University Teaching, Learning and Assessment, University of West Florida.

2. Sutton, M.A., Mbizo, J., & Stewart, G.L. (2008, February 29). "A Competency-Based, Online Master of Public Health Program: A Model for Innovative Assessment Strategies". Invited presentation to 2008 UWF Spring Mini-Conference: Best Practices for Assessment and Curricular Reform (in coordination with UWF Articulation Day), Pensacola, FL.

3. Mbizo, J., Sutton, M.A., & Stewart, G.L. (2008, February 8). "Using Second Life as an Extra Credit Engagement Tool for Scavenger Hunts in the Online Master of Public Health Program". Invited presentation to Learn 8 in ’08 – Discover New Ways to Engage Students, Academic Technology Center, University of West Florida.

4. Sutton, M.A. (Spring 2006). “Function-based Reasoning for Goal-Oriented Image Segmentation.” Invitation to present at the International Conference and Research Center for Computer Science in Schloss Dagstuhl, Germany. (One of 40 researchers of international standing in their respective fields invited to participate in Dagstuhl Seminar 06231: Towards Affordance-Based Robot Control.)

Posters

1. Wells, D.L., El-Sheikh, E.M., Sutton, M.A., Di Santo, V., & Bennett, W.A. (2009). An application for automated image processing of stingray digestion X-rays. SEASTARS, College of Arts and Sciences, University of West Florida.

Panelist

1. Dawson, D., Schwartz, M. & Sutton, M.A. (2008, October 3). "Engaging Students in Online Courses”. Invited panel discussion to UWF Mini-Conference on Best Practices for Student Engagement in Face-to-Face and Online Courses, Center for University Teaching, Learning and Assessment, University of West Florida.

2. Sutton, M.A. Invited attendee and panelist (2007, August 2-5). National Science Foundation-Research Experiences for Undergraduates Reunion/Follow-up. Orlando, FL: University of Central Florida.