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Publications

Books

  • Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods, SIAM Publication, Philadelphia, 1994, ISBN: 0-89871-328-5.
  • Understanding Search Engines: Mathematical Modeling and Text Retrieval by M.W. Berry and M. Browne, SIAM Book Series: Software, Environments, and Tools, Second Edition (May 2005), ISBN: 0-89871-581-4.
  • Computational Information Retrieval, Proceedings of CIR’00, SIAM Proceedings in Applied Mathematics, M. Berry (Ed.), SIAM, Philadelphia, 2001, ISBN: 0-89871-500-8, 185 p.
  • Survey of Text Mining: Clustering, Classification, and Retrieval, M. Berry (Ed.), Springer-Verlag, New York, 2003, ISBN: 0-387-95563-1, 270 p.
  • Lecture Notes in Data Mining, M.W. Berry and M. Browne (Eds.), World Scientific, Singapore, 2006, ISBN: 981-256-802-6, 230p.
  • Survey of Text Mining II: Clustering, Classification, and Retrieval, M.W Berry and M. Castellanos (Eds.), Springer, London, 2008, ISBN: 978-1-84800-045-2, 240 p.
  • Text Mining: Applications and Theory, M.W Berry and J. Kogan (Eds.), Wiley, West Sussex, 2010, ISBN: 978-0-470074982-1, 224p.
  • High-Performance Scientific Computing, M.W. Berry, K.A. Gallivan, E. Gallopoulos, A. Grama, B. Philippe, Y. Saad, and F. Saied (Eds.) Springer, London, 2012, ISBN: 978-1-4471-2436-81, 346p.
  • Soft Computing in Data Science, Proceedings of the First International Conference on Soft Computing in Data Science (SCDS), Communications in Computer Science Series (545), M.W. Berry, A.H. Mohamed, and B.W. Yap (Eds.), Springer, Singapore , 2015, ISBN: 978-981-287-935-6, 276p.
  • Soft Computing in Data Science, Proceedings of the Second International Conference on Soft Computing in Data Science (SCDS), Communications in Computer Science Series (545), M.W. Berry, A.H. Mohamed, and B.W. Yap (Eds.), Springer, Singapore , 2016, ISBN: 978-981-10-2777-2, 311p.
  • Soft Computing in Data Science, Proceedings of the Third International Conference on Soft Computing in Data Science (SCDS), Communications in Computer Science Series (545), A.H. Mohamed, M.W. Berry and B.W. Yap (Eds.), Springer, Singapore , 2017, ISBN: 978-981-10-7242-0, 317p.
  • Soft Computing in Data Science, Proceedings of the Fourth International Conference on Soft Computing in Data Science (SCDS), Communications in Computer Science Series (545), B.W. Yap, A.H. Mohamed, and M.W. Berry (Eds.), Springer, Singapore , 2018, ISBN: 978-981-13-3441-2, 404p.
  • Soft Computing in Data Science, Proceedings of the Fifth International Conference on Soft Computing in Data Science (SCDS), Communications in Computer Science Series (545), M.W. Berry, B.W. Yap, A.H. Mohamed, and M. Koeppen (Eds.), Springer, Singapore , 2019, ISBN: 978-981-15-0398-6, 388p.
  • Supervised and Unsupervised Learning for Data Science, Unsupervised and Semi-Supervised Learning Book Series (M. Celebi, Ed.), Springer, Michael W. Berry, Azlinah Hj. Mohamed, and Bee Wah Yap (Eds.), 2020, ISBN: 978-3-30-22475-2.
  • Soft Computing in Data Science, Proceedings of the Sixth International Conference on Soft Computing in Data Science (SCDS), Communications in Computer Science Series (545), A.H. Mohamed, B.W. Yap, J. M. Zain and M.W. Berry (Eds.), Springer, Singapore , 2021, ISBN: 978-981-16-7334-4, 440p.
  • Data Science and Emerging Technologies, Proceedings of the International Conference on Data Science and Emerging Technologies (DaSet 2022), Lecture Notes on Data Engineering and Communications Technologies,  B.W.Yap, M.W. Berry, A.H. Mohamed, and D. Al-Jumeily (Eds.), Springer, Singapore, 2023, ISBN: 978-981-99-0740-3, 548p.
  • Data Science and Emerging Technologies, Proceedings of the International Conference on Data Science and Emerging Technologies (DaSet 2023), Lecture Notes on Data Engineering and Communications Technologies,  B.W.Yap, D. Al-Jumeliy, and M.W. Berry (Eds.), Springer, Singapore, 2024, ISBN: 978-981-97-0292-3, 579p.

Publications by Topic

  • (PDF) — A Comprehensive Whole Genome Bacterial Phylogeny Using Correlated Peptide Motifs Defined in a High Dimensional Vector Space, G.W. Stuart and M.W. Berry, J. of Bioinformatics and Computational Biology 1(3), 2003, pp. 475-493.
  • (PDF) — An SVD-based Comparison of Nine Whole Eukaryotic Genomes Supports a Coelomate rather than Ecdysozoan Lineage, G.W. Stuart and M.W. Berry, BMC Bioinformatics 5(204), 2004.
  • (PDF) — Gene Clustering by Latent Semantic Indexing of MEDLINE Abstracts, R. Homayouni, K. Heinrich, L. Wei, and M.W. Berry, Bioinformatics 21(1), 2005, pp. 104-115.
  • (PDF) — Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature, K.E. Heinrich, M.W. Berry, and R. Homayouni, Computational Intelligence and Neuroscience Vol. 2008, Article ID 276535, 2008, 12 pages. [DOI Link]
  • Bioinformatic Analysis Reveals cRel as a Putative Regulator of a Subset of Interferon Stimulated Genes, L. Wei, L. Xu, K. Heinrich, M.W. Berry, R. Homayouni, and L.M. Pfeffer, Journal of Interferon & Cytokine Research 28(9):541-552, 2008. [DOI Link]
  • Using a Literature-based NMF Model for Discovering Gene Functional Relationship, E. Tjioe, M.W. Berry, and R.Homayouni, Proceedings of the First Workshop on Data Mining in Functional Genomics, IEEE International Conference on Bioinformatics and Biomedicine, Philadelphia, PA, Nov. 3-5, (2008), pp. 185-192. [DOI Link]
  • Discovering Gene Functional Relationships Using FAUN (Feature Annotation Using Nonnegative matrix factorization), Elina Tjioe, Michael W. Berry, and Ramin Homayouni, BMC Bioinformatics 2010 11(Suppl 6):S14. [DOI Link]
  • Functional Cohesion of Gene Sets Determined by Latent Semantic Indexing of PubMed Abstracts, L. Xu, N. Furlotte, E.O. George, K. Heinrich, M.W. Berry, and R. Homayouni, PLoS ONE 6(4):e18851, 2011. [DOI Link]
  • Latent Semantic Indexing of PubMed abstracts for identification of transcription factor candidates from microarray derived gene sets, S. Roy, K. Heinrich, V. Phan, M.W. Berry, and R. Homayouni, BMC Bioinformatics 12(Suppl 10):S19, 2011.
  • PolyLens: Software for Map-based Visualization and Analysis of Genome-scale Polymorphism Data, G.W. Stuart, T. Gao, R. Pathan, and M.W. Berry, Int. J. Comput. Bio. and Drug Design 6(1):93-106, 2013. [DOI Link]
  • Classification of T Cell Movement Tracks Allows for Prediction of Cell Function , R.K. Kelemen, G.F. He, H.L. Woo, T. Lane, C. Rempe, J. Wang, I.A. Cockburn, R. Amino, V.V. Ganusov, and M.W. Berry, Int. J. Comput. Bio. and Drug Design 7(2-3):113-129, 2014.
  • Navigating the Functional Landscape of Transcription Factors via Non-Negative Tensor Factorization Analysis of MEDLINE Abstracts, S. Roy, D. Yun, B. Madahian, M.W. Berry, L.-Y. Deng, D. Goldowitz, and R. Homayouni, Frontiers in Bioengineering and Biotechnology 5, August 28, 2017. [DOI Link]

  • Blocked Data Distribution for the Conjugate Gradient Algorithm on the CRAY T3D. Michael W. Berry, Charles Grassl, and Vijay K. Krishna, 1994. n
  • ut-cs-94-221 — LAPACK Working Note 68: A Parallel Algorithm for the Reduction of a Nonsymmetric Matrix to Block Upper-Hessenberg Form. Michael W. Berry, Jack J. Dongarra, and Youngbae Kim, February 1994. Published in Parallel Computing 21:8 (1995), pp. 1189-1212.
  • ut-cs-94-239 — LAPACK Working Note 76: Algorithmic Bombardment for the Iterative Solution of Linear Systems: A Poly-Iterative Approach. Richard Barrett, Michael Berry, Jack Dongarra, Victor Eijkhout, and Charles Romine, August 1994. Published in the Journal of Computational and Applied Mathematics 74:1-2, (1996), pp. 91-109.
  • (INRIA RR-494) — Parallel Computation of the Singular Value Decomposition, M.W. Berry, D. Mezher, P. Bernard, and A. Sameh. In Handbook of Parallel Computing and Statistics, E. Kontoghiorghes (Ed.), Chapman & Hall/CRC Series: Statistics: A Series of Textbooks and Monographs, Boca Raton, FL, (2005), pp. 117-164.
  • Terrestrial Ecosystem Carbon Modeling. D. Wang, D. Ricciuto, W. Post, and M.W. Berry, In Encyclopedia of Parallel Computing, D. Padua (Ed.), Springer, 2011.

  • Using Linear Algebra for Intelligent Information Retrieval. Michael W. Berry, Susan T. Dumais, and Gavin W. O’Brien, December 1994. Published in SIAM Review 37:4 (1995), pp. 573-595.
  • A Case Study of Latent Semantic Indexing.M.W. Berry, S.T. Dumais, and A.T. Shippy, January 1995.
  • Low-Rank Orthogonal Decompositions for Information Retrieval Applications . M.W. Berry and R.D. Fierro, April 1995. Published Numerical Linear Algebra with Applications 3:4 (1996), pp. 301-328.
  • (Postscript, PDF) — Computational Methods for Intelligent Information Access. M.W. Berry, S.T. Dumais, and T.A. Letsche. Proceedings of Supercomputing’95, San Diego, CA, December 1995.
  • (HTML) — Sparse Matrix Reordering Schemes for Browsing Hypertext. M.W. Berry, B. Hendrickson, and P. Raghavan. Proceedings of the AMS-SIAM Summer Seminar on Mathematics of Numerical Analysis: Real Number Algorithms, Park City, UT, July 17 – August 11, 1995. Published in Lectures in Applied Mathematics (LAM) Vol. 32: The Mathematics of Numerical Analysis, J. Renegar, M. Shub, and S. Smale (eds.), American Mathematical Society, (1996), pp. 99-123.
  • (HTML) — Approximating Dominant Singular Triplets of Large Sparse Matrices via Modified Moments. S. Varadhan, M.W. Berry, and G.H. Golub. Numerical Algorithms 13:1-2 (1996), pp. 123-152.
  • Approximating Dominant Singular Triplets of Large Sparse Matrices via Modified Moments. S. Varadhan, M.W. Berry, and G.H. Golub. Numerical Algorithms 13:1-2 (1996), pp. 123-152.
  • (HTML) — Large-Scale Information Retrieval with Latent Semantic Indexing. T.A. Letsche and M.W. Berry. Information Sciences – Applications 100, (1997), pp. 105-137.
  • (Postscript) — Large-Scale Information Retrieval with Latent Semantic Indexing. T.A. Letsche and M.W. Berry. Information Sciences – Applications 100, (1997), pp. 105-137.
  • (Secured PDF) — Information Filtering Using the Riemannian SVD (R-SVD). E.P. Jiang and M.W. Berry, Proceedings of the Fifth International Symposium on: Solving Irregularly Structured Problems in Parallel, Lecture Notes in Computer Science 1457, A. Ferreira, J. Rolim, H. Simon, and S.-H. Teng (Eds.), Springer-Verlag, (1998), pp. 386-395.
  • (Postscript, PDF, HTML) — Matrices, Vector Spaces, and Information Retrieval. M.W. Berry, Z. Drmac, and E.R. Jessup. SIAM Review 41:2, (1999), pp. 335-362.
  • (HTML) — Results Ranking in Web Search Engines. M.P. Courtois and M.W. Berry. Online 23:3, (1999), pp. 39-46.
  • (PDF) — Mining Consumer Product Data Via Latent Semantic Indexing J. Jiang, M. W. Berry, J. M. Donato, G. Ostrouchov. Intelligent Data Analysis 3:5, (November 1999), pp. 377-398.
  • Solving Total Least Squares Problems in Information Retrieval , E.P. Jiang and M.W. Berry, Linear Algebra and Its Application 316, (2000), pp. 136-157.
  • (PDF) — The Design and Implementation of Web Presence Indexing Software, J. Eblen, B.L. Baker, M.W. Berry, and M. Browne, Online 25:4, (2001), pp. 60-67.
  • Level Search Schemes for Information Filtering and Retrieval, X. Zhang, M.W. Berry, and P. Raghavan, Information Processing & Management 37:2 (2001), pp. 313-334.
  • Efficient Computation of the Riemannian SVD in TLS Problems in Information Retrieval, R.D. Fierro and M.W. Berry, in Total Least Squares and Errors-In-Variables Modeling: Analysis, Algorithms, and Applications, S. van Huffel and P. Lemmerling (Eds.), Kluwer Academic Publishers, Boston, (2002), pp. 349-360.
  • (PDF,HTML) — Mining Longitudinal Web Queries: Trends and Patterns, P. Wang, M.W. Berry, and Y. Yang, J. of the American Society for Information Science and Technology (JASIST) 54(8), (2003), pp. 743-758.
  • (PDF) — GTP (General Text Parser) Software for Text Mining, J.T. Giles, L. Wo, and M.W. Berry, in Statistical Data Mining and Knowledge Discovery, H. Bozdogan (Ed.), CRC Press, Boca Raton, (2003), pp. 455-471.
  • (PDF) — The Semantic Conference Organizer, K. Heinrich, M.W. Berry, J.J. Dongarra, and S. Vadhiyar, in Statistical Data Mining and Knowledge Discovery, H. Bozdogan (Ed.), CRC Press, Boca Raton, (2003), pp. 571-581.
  • (PDF) — Computing Sparse Reduced-Rank Approximations to Sparse Matrices , M.W. Berry, S.A. Pulatova, and G.W. Stewart, Technical Report No. CS-04-525, Department of Computer Science, University of Tennessee, Knoxville, May 2004; ACM Transactions on Mathematical Software 31(2), (2005), pp. 252-269.
  • (PDF) — Email Surveillance Using Nonnegative Matrix Factorization, M.W. Berry and M. Browne, Computational & Mathematical Organization Theory 11, (2005), pp. 249-264.
  • (PDF) — Document Clustering Using Nonnegative Matrix Factorization, F. Shahnaz, M.W. Berry, V. Paul Pauca, and R.J. Plemmons, Information Information Processing & Management 42(2), (2006), pp. 373-386.
  • Principal Component Analysis for Information Retrieval, M.W. Berry and D.I. Martin, in Handbook of Parallel Computing and Statistics, Chapman & Hall/CRC Series: Statistics: A Series of Textbooks and Monographs, E. Kontoghiorghes (Ed.), Boca Raton, FL, (2005), pp. 399-413.
  • Mathematical Foundations Behind Latent Semantic Analysis, D.I. Martin and M.W. Berry, in Handbook of Latent Semantic Analysis, T.K. Landauer, D.S. McNamara, S. Dennis, and W. Kintsch (Eds), Lawrence Erlbaum Associates, (2007), pp. 35-55.
  • Out-of-Core SVD Performance for Document Indexing, D.I. Martin, J.C. Martin, M.W. Berry, and M. Browne, Applied Numerical Mathematics, 57(11-12), (2007), pp. 1230-1239. [DOI link]
  • Algorithms and Applications for Approximate Nonnegative Matrix Factorization M.W. Berry, M. Browne, A.N. Langville, V.P. Pauca, and R.J. Plemmons, Computational Statistics & Data Analysis 52(1), (2007), pp. 155-173. [DOI link]
  • Document Classification Techniques for Automated Technology Readiness Level Analysis, B.L. Britt, M.W. Berry, M. Browne, M.A. Merrell, and J. Kolpack, Journal of the American Society for Information Science and Technology 59(4), (2008), pp. 675-680.
  • Scenario Discovery Using Nonnegative Tensor Factorization, Brett W. Bader, Andrey A. Puretskiy, and Michael W. Berry, in Progress in Pattern Recognition, Image Analysis and Applications, Proceedings of the Thirteenth Iberoamerican Congress on Pattern Recognition, CIARP 2008, Havana, Cuba, Lecture Notes in Computer Science (LNCS) 5197, José Ruiz-Shulcloper and Walter G. Kropatsch (Eds.), Springer-Verlag, Berlin, (2008), pp. 791-805. [DOI link]
  • FutureLens: Software for Text Visualization and Tracking, Gregory L. Shutt, Andrey A. Puretskiy, and Michael W. Berry, Text Mining Workshop, Proceedings of the Ninth SIAM International Conference on Data Mining, Sparks, NV, April 30-May 2, 2009, ISBN: 978-0-898716-82-5.
  • Document Classification Using Nonnegative Matrix Factorization and Underapproximation, Michael W. Berry, Nicolas Gillis, and François Glineur, Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Taipei, Taiwan, May 24-27, 2009, pp. 2782-2785, ISBN: 978-1-4244-3828-0. [pdf from Proceedings CD]
  • Latent Semantic Indexing, Dian I. Martin and Michael W. Berry, in Encyclopedia of Library and Information Sciences (ELIS), Third Edition, Marcia J. Bates and Mary Niles Maack (Eds.), Taylor & Francis, Oxford, (2010), pp. 3195-3204.
  • A Fast Algorithm for Nonnegative Tensor Factorization using Block Coordinate Descent and an Active-set-type method, Krishnakumar Balasubramanian, Jingu Kim, Andrey A. Puretskiy, Michael W. Berry, and Haesun Park, Text Mining Workshop, Proceedings of the Tenth SIAM International Conference on Data Mining, Columbus, OH, April 29-May 1, 2010, pp. 25-34, ISBN: 978-0-898717-03-7.
  • The Use of Text Mining Techniques in Electronic Discovery for Legal Matters, M.W. Berry, R. Esau, and B. Kiefer, in Next Generation Search Engines: Advanced Models for Information Retrieval, C. Jouis and I. Biskri (Eds.), IGI Global, 2011. [Book announcement]
  • The Effects of Tabular-Based Content Extraction on Patent Document Clustering, Denise R. Koessler, Benjamin W. Martin, Bruce E. Kiefer, and Michael W. Berry, Algorithms 5(4):490-505, 2012. [DOI link]
  • Identifying Influential Edges in a Directed Network: Big Events, Upsets and Non-transitivity, Michael W. Berry; Timothy P. Chartier; Kevin R. Hutson; Amy N. Langville, Journal of Complex Networks, 2013, [DOI link]
  • Using Semidiscrete Decomposition and Vector Space Models to Identify Users of Social Networks, Denise K. Gosnell and Michael W. Berry, Numerical Linear Algebra With Applications, 22(5):833-844, 2015, [DOI link]
  • Text Mining, Dian I. Martin and Michael W. Berry, in The Princeton Companion to Applied Mathematics, N. Higham et al. (Eds.), Article VII.24, Princeton University Press, Princeton, NJ, 2015, pp. 887-890.
  • Mining Multimodal Big Data: Tensor Methods and Applications, Sujoy Roy and Michael W. Berry, in Big Data Storage and Visualization Techniques , R.S. Segall, J.S. Cook, and N. Gupta (eds.), IGI Global, 2018, pp. 674-702, [DOI link]

  • The Land-Use Change Analysis System (LUCAS) for Evaluating Landscape Management Decisions. Michael W. Berry, Richard O. Flamm, Brett C. Hazen, and Rhonda M. MacIntyre, July 1994. Also appears as Lucas: A System for Modeling Land-Use Change in IEEE Computational Science & Engineering 3:1 (1996), pp. 24-35.
  • Parallel Models of Animal Migration in Northern Yellowstone National Park. Ember Uziel and Michael W. Berry, November 1994. Published in International Journal of Supercomputer Applications and High Performance Computing 9:4 (1996), pp. 237-255.
  • The Design of the Land-Use Change Analysis System (LUCAS): Part I – Graphical User Interface. R. L. MacIntyre, B. C. Hazen, and M. W. Berry, December 1994.
  • The Design of the Land-Use Change Analysis System (LUCAS): Part II – Parallel and Distributed Implementation. B. C. Hazen and M. W. Berry, August 1995. Published as The Simulation of Land-Cover Change Using a Distributed Computing Environment in Simulation Practice and Theory5:6 (1997), pp. 489-514.
  • (HTML) ut-cs-95-298 — The Design of the Land-Use Change Analysis System (LUCAS): Part II – Parallel and Distributed Implementation. B. C. Hazen and M. W. Berry, August 1995.
  • Computational Models of White-Tailed Deer in the Florida Everglades. C. A. Abbott, M. W. Berry, E. J. Comiskey, J. C. Dempsey, L. J. Gross, and H.-K. Luh, August 1995. Published in IEEE Computational Science and Engineering 4:4, (1997).
  • (HTML) ut-cs-95-296 — Computational Models of White-Tailed Deer in the Florida Everglades. C. A. Abbott, M. W. Berry, E. J. Comiskey, J. C. Dempsey, L. J. Gross, and H.-K. Luh, August 1995. Published in IEEE Computational Science and Engineering 4:4, (1997).
  • Distributed Land-Cover Change Simulation Using Using PVM and MPI. M. W. Berry, and K. S. Minser, February 1997.
  • Parallelization in a Spatially Explicit Individual-Based Model – 1. Spatial Data Interpolation, H.-K. Luh, C. A. Abbott, M. W. Berry, E. J. Comiskey, J. C. Dempsey, and L. J. Gross, Computers & Geosciences 23:3, (1997), pp. 293-304.
  • (HTML) ut-cs-97-356 — Distributed Land-Cover Change Simulation Using Using PVM and MPI. M. W. Berry, and K. S. Minser, February 1997. Submitted to the Land Use Modeling Workshop, USGS EROS Data Center, Sioux Falls, SD, June 5-6, 1997.
  • (PDF, Postscript) — Signal-Transfer Modeling for Regional Assessment of Forest Responses to Enviromental and Land-Use Changes in the Southern United States. R.J. Luxmoore, W.W. Hargrove, M.L. Tharp, W.M. Post, M.W. Berry, K.S. Minser, W.P. Cropper, D.W. Johnson, B. Zeide, R.L. Amateis, H.E. Burkhart, V.C. Baldwin, and K.D. Peterson, Environmental Modeling & Assessment 5 (2000), pp. 125-137.
  • (PDF) — Higher Order Interpolation Using the Modified Shepard Method. M.W. Berry and K.S. Minser, ACM Transactions on Mathematical Software 25:3, (1999), pp. 353-366.
  • (PDF) — Addressing Multi-Use Issues in Sustainable Forest Management With Signal-Transfer Modeling, R.J. Luxmoore, W.W. Hargrove, M.L. Tharp, W.M. Post, M.W. Berry, K.S. Minser, W.P. Cropper, D.W. Johnson, B. Zeide, R.L. Amateis, H.E. Burkhart, V.C. Baldwin, and K.D. Peterson, Forest Ecology and Management 165 (2002), pp. 295-304.
  • (PDF) — Design and Implementation of a Parallel Fish Model for South Florida, D. Wang, E.A. Carr, L.J. Gross, and M.W. Berry, Proceedings of the Thirty-Seventh Hawaii International Conference on System Sciences (HICSS-37), Jan 5-8, Big Island, Hawaii (2004).
  • (RTF) — Analyzing Land-Use Change at Different Scales in Central Georgia, V.H. Dale, D. Druckenbrod, L. Baskaran, C. Garten,L. Olsen, R. Efroymson, and R. Washington-Allen, M. Aldridge, M. Berry, Proceedings of the 4th Southern Forestry and Natural Resource GIS conference. Athens, Georgia, Dec 16-18, 2004, in press.
  • (HTML,PDF) — A Parallel Implementation of ALFISH: Simulating Hydrological Compartmentalization Effects on Fish Dynamics in the Florida Everglades, A. Immanuel, M.W. Berry, L.J. Gross, M. Palmer, and D. Wang, Simulation Practice and Theory 13:1 (2005), pp. 55-76.
  • (PDF) — A Grid Service Module for Natural Resource Management, D. Wang, E. Carr, M. Palmer, M.W. Berry, and L.J. Gross, IEEE Internet Computing 9:1(2005), pp. 35-41.
  • (PDF) — Vehicle Impacts on the Environment at Different Spatial Scales: Observations in West Central Georgia, USA, V. Dale, D. Druckenbrod, L. Baskaran, M. Aldridge, M. Berry, C. Garten, L. Olsen, R. Efroymson, and R. Washingto-Allen, in Journal of Terramechanics 42(2005), pp. 383-402.
  • Planning Transboundary Ecological Risk Assessments at Military Installations, R.A. Efroymson, V.H. Dale, L.M. Baskaran, M.E. Chang, M.L. Aldridge, and M.W. Berry, Human and Ecological Risk Assessment 11, (2005), pp. 1193-1215.
  • Bioregional Planning in Central Georgia, V. Dale, M. Aldridge, R. Auther, L. Baskaran, M. Berry, M. Chang, R. Efroymson, C. Garten, C. Stewart, and R. Washington-Allen, Futures 38(4), (2006), pp. 471-489.
  • A Parallel Fish Landscape Model for Ecosystem Modeling, D. Wang, M.W. Berry, E.A. Carr, and L.J. Gross, Simulation: Simulation Transactions of the Society for Modeling and Simulation International 82(7), (2006), pp. 451-465.
  • On Parallelization of a Spatially-Explicit Structured Ecological Model for Integrated Ecosystem Simulation, D. Wang, M.W. Berry, and L.J. Gross, International Journal of High Performance Computing Applications 20(4), (2006), pp. 571-581.
  • Computational Science for Natural Resource Management, M.M. Fuller, D. Wang, L.J. Gross, and M.W. Berry Computing in Science & Engineering 9(4), (2007), pp. 40-48. [DOI link]
  • Modeling the Effects of Land Use on the Quality of Water, Air, Noise, and Habitat for a Five-County Region in Georgia, V.H. Dale, F. Akhtar, M. Aldridge, L. Baskaran, M. Berry, M. Chang, R. Efroymson, C. Garten, E. Lingerfelt, and C. Stewart, Ecology and Society 13(1):10, (2008).
  • A Framework of Integrating GIS and Parallel Computing for Spatial Control Problems – A Case Study of Wildfire Control, L. Yin, S.-L. Shaw, E. Carr, D. Wang, M.W. Berry, L.J. Gross, and J.Comiskey, International Journal of Geographical Information Science iFirst 2011, 1-21. [DOI Link]
  • On Design of a Coupling Component for Parallel Multimodeling, D. Wang, M. Harmon, M.W. Berry, E. Carr, and L.J. Gross, International Journal of Modeling, Simulation, and Scientific Computing 2(4):445-458, 2011. [DOI Link]

  • Parallelization of the Hoshen-Kopelman Algorithm Using a Finite State Machine. J. M. Constantin, M. W. Berry, and B. T. Vander Zanden, August 1995. Published in International Journal of Supercomputer Applications and High Performance Computing 11:1 (1997), pp. 31-45.
  • Parallelization of the Hoshen-Kopelman Algorithm Using a Finite State Machine. J. M. Constantin, M. W. Berry, and B. T. Vander Zanden, March 1996. Published in International Journal of Supercomputer Applications and High Performance Computing 11:1 (1997), pp. 31-45.
  • Percolation and cluster structure parameters. II. The Enhanced Hoshen-Kopelman algorithm, J. Hoshen, M. W. Berry, and K. S. Minser, Physical Review E 56:2, (1997), pp. 1455-1460.
  • Cluster Form Analysis Techniques for Diabetic Retinopathy, M. W. Berry and D. M. Westerman, Mathematical Models in Medical and Health Sciences, M.A. Horn, G. Simonett, and G. Webb (Eds.), Vanderbilt University Press, (1998).
  • (PDF) — Overcoming the Curse of Dimensionality in Clustering by means of the Wavelet Transform, F. Murtagh, J.-L. Starck, and M. W. Berry, The Computer Journal 43, (2000), pp. 107-120.
  • (PDF) — Using Dendronal Signatures for Feature Extraction and Retrieval , L. Chen, M.W. Berry, and W.W. Hargrove, International Journal of Imaging Systems & Technology 11:4, (2000), pp. 243-253.
  • (PDF)—SHEPPACK: A Fortran 95 Package for Interpolation Using the Modified Shepard Algorithm, M.A. Iyer, L.T. Watson, and M.W. Berry, Proceedings of the Forty-fourth ACM Southeast Conference, Melbourne, FL, March 10-12, (2006), pp. 476-481.
  • (PDF)—A Performance Comparison of Piecewise Linear Estimation Methods, M.A. Iyer, M.M. Harris, L.T. Watson, and M.W. Berry, Processing of the 2008 Spring Simulation Multiconference (SpringSim’08), April 14-17, (2008), Ottawa, Canada, pp. 273-278.
  • Performance of a Finite-State Machine Implementation of Iterative Cluster Labeling on Desktop and Mobile Computing Platforms, M.L. Aldridge and M.W. Berry, IEEE Trans. on Knowledge and Data Engineering 21(11):1604-1616, (2009), online version. [DOI Link]
  • Algorithm 905: SHEPPACK: Modified Shepard Algorithm for Interpolation of Scattered Multivariate Data, William I. Thacker, Jingwei Zhang, Layne T. Watson, Jeffrey B. Birch, Manjula A. Iyer, and Michael W. Berry, ACM Transactions on Mathematical Software 37(3):34:1-34:20, (2010). [DOI Link]

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