Does a computer have sexual preferences? - Lawrence J. Mazlack (SIGCSE-SIGCUE, 1976)

Computer Construction of Crossword Puzzles Using Precedence Relationships. - Lawrence J. Mazlack (Artif. Intell., 1976)

Machine Selection of Elements in Crossword Puzzles: An Application of Computational Linguistics. - Lawrence J. Mazlack (SIAM J. Comput., 1976)

Shockwave Rider - Book Review. - Lawrence J. Mazlack (SIGIR Forum, 1976)

Developing computer awareness. - Lawrence J. Mazlack (SIGCSE-1, 1977)

The use of interactive fortran. - Lawrence J. Mazlack (SIGCSE/CSA, 1978)

Predicting Student Success in an Introductory Programming Course. - Lawrence J. Mazlack (Comput. J., 1978)

The role of computer science education in aiding technology transfer to less developed countries (Panel Discussion). - Lawrence J. Mazlack (SIGCSE, 1979)

An Empirical Comparison: Tree and Lattice Structures for Symbolic Data Bases. - Lawrence J. Mazlack (SIGIR, 1979)

Establishing a Basis for Mapping Natural-Language Statements Onto a Database Query Language. - Lawrence J. Mazlack; Richard A. Feinauer (SIGIR, 1980)

Identifying Potential to Acquire Programming Skill. - Lawrence J. Mazlack (Commun. ACM, 1980)

Using a sales incentive technique in a first course in software engineering. - Lawrence J. Mazlack (SIGCSE, 1981)

Natural language symbol string storage. - Lawrence J. Mazlack (J. Syst. Softw., 1981)

Surface Analysis Of Queries Directed Toward A Database. - Lawrence J. Mazlack; Richard A. Feinauer (COLING, 1982)

A mechanism for natural language access to database systems: U. of Cincinnati. - Lawrence J. Mazlack; Richard A. Feinauer; William Ernest Leigh; Neomi Paz (SIGART Newsl., 1982)

Introducing subprograms as the first control structure in an introductory course. - Lawrence J. Mazlack (SIGCSE, 1983)

An Exercise in Engineering Circuit Design Using an Expert System. - M. Samardar; Lawrence J. Mazlack; J. H. Nevin (CAIA, 1985)

A Multi-Threshold, Internal Rule Representation Form Used to Support User Modifiable Knowledge-Based Systems. - Lawrence J. Mazlack; Jeffrey Bernstein; David Kelley; Greg Vaughn (Data Knowl. Eng., 1985)

Taxonomic ambiguities in category variations needed to support machine conceptualization. - Lawrence J. Mazlack (ISMIS, 1986)

Abstract Inference Structures to Support Variable Rule Structures for Expert Systems. - Lawrence J. Mazlack (ISMIS, 1987)

Heuristic Principles Supporting Making Time Critical Decisions in Knowledge-Based Systems. - Lawrence J. Mazlack (ISMIS, 1988)

Satisficing in Knowledge-Based Systems. - Lawrence J. Mazlack (Data Knowl. Eng., 1990)

Developing expertise in expert system development by developing prototypes for actual commercial applications. - Lawrence J. Mazlack; Roger Alan Pick; Paul Tudor; Wallace R. Wood (SIGCSE, 1992)

Identifying the most effective reasoning calculi for a knowledge-based system. - Lawrence J. Mazlack; Wonboo Lee (IEEE Trans. Syst. Man Cybern., 1993)

Autonomous Database Mining and Disorder Measures. - Lawrence J. Mazlack (ISMIS, 1997)

Developing a focus in unsupervised database mining. - Lawrence J. Mazlack (SAC, 1997)

Approximate reasoning applied to unsupervised database mining. - Lawrence J. Mazlack (Int. J. Intell. Syst., 1997)

Quantification and granulation. - Lawrence J. Mazlack (SMC, 2001)

Granulating data on non-scalar attribute values. - Lawrence J. Mazlack; Sarah Coppock (FUZZ-IEEE, 2002)

Soft multi-modal data fusion. - Sarah Coppock; Lawrence J. Mazlack (FUZZ-IEEE, 2003)

Causal possibility model structures. - Lawrence J. Mazlack (FUZZ-IEEE, 2003)

Imprecise Causality in Mined Rules. - Lawrence J. Mazlack (RSFDGrC, 2003)

Imprecise nested granular complexes. - Lawrence J. Mazlack (FUZZ-IEEE, 2004)

Using association rules without understanding their underlying causality reduces their decision value. - Lawrence J. Mazlack (ICMLA, 2004)

Multi-modal Data Fusion: A Description. - Sarah Coppock; Lawrence J. Mazlack (KES, 2004)

Humorous wordplay recognition. - Julia M. Taylor; Lawrence J. Mazlack (SMC (4), 2004)

Imperfect Causality. - Lawrence J. Mazlack (Fundam. Informaticae, 2004)

Discovery Of Causality Possibilities. - Lawrence J. Mazlack (Int. J. Pattern Recognit. Artif. Intell., 2004)

Approximate Metrics for Autonomous Semantic Web Ontology Merging. - Bartley Richardson; Lawrence J. Mazlack (FUZZ-IEEE, 2005)

Imperfect commonsense granular determinism. - Lawrence J. Mazlack (GrC, 2005)

Focused Statistical Joke Generation. - Lawrence J. Mazlack; Julia M. Taylor (IC-AI, 2005)

Autonomous granulation using the Mountain Method. - Lawrence J. Mazlack; Yaoyao Zhu; Aijing He (Int. J. Intell. Syst., 2005)

Granular Nested Causal Complexes. - Lawrence J. Mazlack (Intelligent Data Mining, 2005)

Granulating semantic web ontologies. - Pavel Klinov; Lawrence J. Mazlack (GrC, 2006)

Commonsense Causal Modeling in the Data Mining Context. - Lawrence J. Mazlack (Foundations and Novel Approaches in Data Mining, 2006)

On Possible Applications of Rough Mereology to Handling Granularity in Ontological Knowledge. - Pavel Klinov; Lawrence J. Mazlack (AAAI, 2007)

An Investigation into Computational Recognition of Children's Jokes. - Julia M. Taylor; Lawrence J. Mazlack (AAAI, 2007)

Interval Rough Mereology for Approximating Hierarchical Knowledge. - Pavel Klinov; Lawrence J. Mazlack (RSFDGrC, 2007)

General imprecise causal reasoning representations. - Lawrence J. Mazlack (SMC, 2007)

Multiple component computational recognition of children's jokes. - Julia M. Taylor; Lawrence J. Mazlack (SMC, 2007)

Interval rough mereology and description logic: An approach to formal treatment of imprecision in the Semantic Web ontologies. - Pavel Klinov; Julia M. Taylor; Lawrence J. Mazlack (Web Intell. Agent Syst., 2008)

Naïve Rules Do Not Consider Underlying Causality. - Lawrence J. Mazlack (Data Mining: Foundations and Practice, 2008)

Inexact Multiple-Grained Causal Complexes. - Lawrence J. Mazlack (Data Mining: Foundations and Practice, 2008)

General Causal Representations in the Medical Domain. - Lawrence J. Mazlack (BMEI, 2009)

Ontology Granularity and Rough Equality of Concepts. - Lawrence J. Mazlack; Pavel Klinov (SMC, 2009)

Approximate Representations in the Medical Domain. - Lawrence J. Mazlack (Web Intelligence, 2010)

Causal modeling approximations in the medical domain. - Lawrence J. Mazlack (FUZZ-IEEE, 2011)

Discerning suicide notes causality using fuzzy cognitive maps. - Ethan White 001; Lawrence J. Mazlack (FUZZ-IEEE, 2011)

Discovering Causality in Suicide Notes Using Fuzzy Cognitive Maps. - Ethan White 001; Lawrence J. Mazlack (MAICS, 2011)

Pragmatically Computationally Difficult Pragmatics to Recognize Humour. - Lawrence J. Mazlack (AAAI Fall Symposium: Artificial Intelligence of Humor, 2012)

Inferring Fuzzy Cognitive Map models for Gene Regulatory Networks from gene expression data. - Ye Chen; Lawrence J. Mazlack; Long J. Lu (BIBM, 2012)

Learning fuzzy cognitive maps from data by ant colony optimization. - Ye Chen; Lawrence J. Mazlack; Long J. Lu (GECCO, 2012)

Inferring causal networks using fuzzy cognitive maps and evolutionary algorithms with application to gene regulatory network reconstruction. - Ye Chen; Lawrence J. Mazlack; Ali A. Minai; Long J. Lu (Appl. Soft Comput., 2015)