Lawrence J. Mazlack - researchr alias

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2015

Inferring causal networks using fuzzy cognitive maps and evolutionary algorithms with application to gene regulatory network reconstructionYe Chen, Lawrence J. Mazlack, Ali A. Minai, Long J. Lu. asc, 37:667-679, 2015. [doi]

2012

Inferring Fuzzy Cognitive Map models for Gene Regulatory Networks from gene expression dataYe Chen, Lawrence J. Mazlack, Long J. Lu. bibm 2012: 1-4 [doi]

Learning fuzzy cognitive maps from data by ant colony optimizationYe Chen, Lawrence J. Mazlack, Long J. Lu. gecco 2012: 9-16 [doi]

Pragmatically Computationally Difficult Pragmatics to Recognize HumourLawrence J. Mazlack. aaaifs 2012: [doi]

2011

Causal modeling approximations in the medical domainLawrence J. Mazlack. fuzzIEEE 2011: 1822-1829 [doi]

Discerning suicide notes causality using fuzzy cognitive mapsEthan White, Lawrence J. Mazlack. fuzzIEEE 2011: 2940-2947 [doi]

Discovering Causality in Suicide Notes Using Fuzzy Cognitive MapsEthan White, Lawrence J. Mazlack. maics 2011: 54-59 [doi]

2010

Approximate Representations in the Medical DomainLawrence J. Mazlack. webi 2010: 14-21 [doi]

2009

General Causal Representations in the Medical DomainLawrence J. Mazlack. bmei 2009: 1-5 [doi]

Ontology Granularity and Rough Equality of ConceptsLawrence J. Mazlack, Pavel Klinov. SMC 2009: 1298-1303 [doi]

2008

Interval rough mereology and description logic: An approach to formal treatment of imprecision in the Semantic Web ontologiesPavel Klinov, Julia M. Taylor, Lawrence J. Mazlack. wias, 6(2):157-174, 2008. [doi]

Inexact Multiple-Grained Causal ComplexesLawrence J. Mazlack. In Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau, editors, Data Mining: Foundations and Practice. Volume 118 of Studies in Computational Intelligence, pages 231-249, Springer, 2008. [doi]

Naïve Rules Do Not Consider Underlying CausalityLawrence J. Mazlack. In Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau, editors, Data Mining: Foundations and Practice. Volume 118 of Studies in Computational Intelligence, pages 213-229, Springer, 2008. [doi]

2007

2006

Granulating semantic web ontologiesPavel Klinov, Lawrence J. Mazlack. grc 2006: 431-434 [doi]

Commonsense Causal Modeling in the Data Mining ContextLawrence J. Mazlack. In Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu, editors, Foundations and Novel Approaches in Data Mining. Volume 9 of Studies in Computational Intelligence, pages 1-22, Springer, 2006. [doi]

2005

Granular Nested Causal ComplexesLawrence J. Mazlack. In Da Ruan, Guoqing Chen, Etienne E. Kerre, Geert Wets, editors, Intelligent Data Mining: Techniques and Applications. Volume 5 of Studies in Computational Intelligence, pages 23-48, Springer, 2005. [doi]

Focused Statistical Joke GenerationLawrence J. Mazlack, Julia M. Taylor. icai 2005: 165-174

Imperfect commonsense granular determinismLawrence J. Mazlack. grc 2005: 565-570 [doi]

Autonomous granulation using the Mountain MethodLawrence J. Mazlack, Yaoyao Zhu, Aijing He. ijis, 20(4):415-432, 2005. [doi]

Approximate Metrics for Autonomous Semantic Web Ontology MergingBartley Richardson, Lawrence J. Mazlack. fuzzIEEE 2005: 1014-1019 [doi]

2004

2003

Soft multi-modal data fusionSarah Coppock, Lawrence J. Mazlack. fuzzIEEE 2003: 636-641 [doi]

Imprecise Causality in Mined RulesLawrence J. Mazlack. rsfdgrc 2003: 581-588 [doi]

Causal possibility model structuresLawrence J. Mazlack. fuzzIEEE 2003: 684-689 [doi]

2002

Granulating data on non-scalar attribute valuesLawrence J. Mazlack, Sarah Coppock. fuzzIEEE 2002: 944-949 [doi]

2001

Quantification and granulationLawrence J. Mazlack. SMC 2001: 412-417 [doi]

1997

Autonomous Database Mining and Disorder MeasuresLawrence J. Mazlack. ismis 1997: 308-317

Developing a focus in unsupervised database miningLawrence J. Mazlack. SAC 1997: 187-191 [doi]

Approximate reasoning applied to unsupervised database miningLawrence J. Mazlack. ijis, 12(5):391-414, 1997. [doi]

1993

Identifying the most effective reasoning calculi for a knowledge-based systemLawrence J. Mazlack, Wonboo Lee. tsmc, 23(5):1417-1424, 1993. [doi]

1992

Developing expertise in expert system development by developing prototypes for actual commercial applicationsLawrence J. Mazlack, Roger Alan Pick, Paul Tudor, Wallace R. Wood. sigcse 1992: 81-86 [doi]

1990

Satisficing in Knowledge-Based SystemsLawrence J. Mazlack. DKE, 5:139-166, 1990.

1988

Heuristic Principles Supporting Making Time Critical Decisions in Knowledge-Based SystemsLawrence J. Mazlack. ismis 1988: 70-80

1987

Abstract Inference Structures to Support Variable Rule Structures for Expert SystemsLawrence J. Mazlack. ismis 1987: 123-130

1986

Taxonomic ambiguities in category variations needed to support machine conceptualizationLawrence J. Mazlack. ismis 1986: 325-332 [doi]

1985

A Multi-Threshold, Internal Rule Representation Form Used to Support User Modifiable Knowledge-Based SystemsLawrence J. Mazlack, Jeffrey Bernstein, David Kelley, Greg Vaughn. DKE, 1(4):327-336, 1985.

An Exercise in Engineering Circuit Design Using an Expert SystemM. Samardar, Lawrence J. Mazlack, J. H. Nevin. caia 1985: 281-286

1983

Introducing subprograms as the first control structure in an introductory courseLawrence J. Mazlack. sigcse 1983: 265-270 [doi]

1982

Surface Analysis Of Queries Directed Toward A DatabaseLawrence J. Mazlack, Richard A. Feinauer. COLING 1982: 207-214 [doi]

A mechanism for natural language access to database systems: U. of CincinnatiLawrence J. Mazlack, Richard A. Feinauer, William Ernest Leigh, Neomi Paz. sigart, 79:44-45, 1982. [doi]

1981

Natural language symbol string storageLawrence J. Mazlack. jss, 2(1):71-79, 1981. [doi]

Using a sales incentive technique in a first course in software engineeringLawrence J. Mazlack. sigcse 1981: 37-40 [doi]

1980

Establishing a Basis for Mapping Natural-Language Statements Onto a Database Query LanguageLawrence J. Mazlack, Richard A. Feinauer. sigir 1980: 192-202 [doi]

Identifying Potential to Acquire Programming SkillLawrence J. Mazlack. CACM, 23(1):14-17, 1980.

1979

An Empirical Comparison: Tree and Lattice Structures for Symbolic Data BasesLawrence J. Mazlack. sigir 1979: 33-40 [doi]

The role of computer science education in aiding technology transfer to less developed countries (Panel Discussion)Lawrence J. Mazlack. sigcse 1979: 214 [doi]

1978

Predicting Student Success in an Introductory Programming CourseLawrence J. Mazlack. cj, 21(4):380-384, 1978.

The use of interactive fortranLawrence J. Mazlack. sigcse 1978: 260-265 [doi]

1977

Developing computer awarenessLawrence J. Mazlack. sigcse 1977: 184-187 [doi]

1976

Machine Selection of Elements in Crossword Puzzles: An Application of Computational LinguisticsLawrence J. Mazlack. SICOMP, 5(1):51-72, 1976.

Shockwave Rider - Book ReviewLawrence J. Mazlack. sigir, 11(1):8, 1976. [doi]

Computer Construction of Crossword Puzzles Using Precedence RelationshipsLawrence J. Mazlack. ai, 7(1):1-19, 1976.

Does a computer have sexual preferences?Lawrence J. Mazlack. sigcse 1976: 74-78 [doi]

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