Lawrence J. Mazlack

	2011
43		Lawrence J. Mazlack: Causal modeling approximations in the medical domain. FUZZ-IEEE 2011: 1822-1829
42		Ethan White, Lawrence J. Mazlack: Discerning suicide notes causality using fuzzy cognitive maps. FUZZ-IEEE 2011: 2940-2947
41		Ethan White, Lawrence J. Mazlack: Discovering Causality in Suicide Notes Using Fuzzy Cognitive Maps. MAICS 2011: 54-59
	2010
40		Lawrence J. Mazlack: Approximate Representations in the Medical Domain. Web Intelligence 2010: 14-21
	2009
39		Lawrence J. Mazlack: General Causal Representations in the Medical Domain. BMEI 2009: 1-5
38		Lawrence J. Mazlack, Pavel Klinov: Ontology Granularity and Rough Equality of Concepts. SMC 2009: 1298-1303
	2008
37		Lawrence J. Mazlack: Naïve Rules Do Not Consider Underlying Causality. Data Mining: Foundations and Practice 2008: 213-229
36		Lawrence J. Mazlack: Inexact Multiple-Grained Causal Complexes. Data Mining: Foundations and Practice 2008: 231-249
35		Pavel Klinov, Julia M. Taylor, Lawrence J. Mazlack: Interval rough mereology and description logic: An approach to formal treatment of imprecision in the Semantic Web ontologies. Web Intelligence and Agent Systems 6(2): 157-174 (2008)
	2007
34		Pavel Klinov, Lawrence J. Mazlack: On Possible Applications of Rough Mereology to Handling Granularity in Ontological Knowledge. AAAI 2007: 1876-1877
33		Julia M. Taylor, Lawrence J. Mazlack: An Investigation into Computational Recognition of Children's Jokes. AAAI 2007: 1904-1905
32		Pavel Klinov, Lawrence J. Mazlack: Interval Rough Mereology for Approximating Hierarchical Knowledge. RSFDGrC 2007: 557-564
31		Julia M. Taylor, Lawrence J. Mazlack: Multiple component computational recognition of children's jokes. SMC 2007: 1194-1199
30		Lawrence J. Mazlack: General imprecise causal reasoning representations. SMC 2007: 480-485
	2006
29		Pavel Klinov, Lawrence J. Mazlack: Granulating semantic web ontologies. GrC 2006: 431-434
28		Lawrence J. Mazlack: Commonsense Causal Modeling in the Data Mining Context. Foundations and Novel Approaches in Data Mining 2006: 1-22
	2005
27		Lawrence J. Mazlack: Imperfect commonsense granular determinism. GrC 2005: 565-570
26		Lawrence J. Mazlack, Julia M. Taylor: Focused Statistical Joke Generation. IC-AI 2005: 165-174
25		Lawrence J. Mazlack: Granular Nested Causal Complexes. Intelligent Data Mining 2005: 23-48
24		Lawrence J. Mazlack, Yaoyao Zhu, Aijing He: Autonomous granulation using the Mountain Method. Int. J. Intell. Syst. 20(4): 415-432 (2005)
	2004
23		Lawrence J. Mazlack: Using association rules without understanding their underlying causality reduces their decision value. ICMLA 2004: 312-319
22		Sarah Coppock, Lawrence J. Mazlack: Multi-modal Data Fusion: A Description. KES 2004: 1136-1142
21		Julia M. Taylor, Lawrence J. Mazlack: Humorous wordplay recognition. SMC (4) 2004: 3306-3311
20		Lawrence J. Mazlack: Imperfect Causality. Fundam. Inform. 59(2-3): 191-201 (2004)
19		Lawrence J. Mazlack: Discovery Of Causality Possibilities. IJPRAI 18(1): 63-73 (2004)
	2003
18		Lawrence J. Mazlack: Imprecise Causality in Mined Rules. RSFDGrC 2003: 581-588
	1997
17		Lawrence J. Mazlack: Autonomous Database Mining and Disorder Measures. ISMIS 1997: 308-317
16		Lawrence J. Mazlack: Developing a focus in unsupervised database mining. SAC 1997: 187-191
	1992
15		Lawrence J. Mazlack, Roger Alan Pick, Paul Tudor, Wallace R. Wood: Developing expertise in expert system development by developing prototypes for actual commercial applications. SIGCSE 1992: 81-86
	1990
14		Lawrence J. Mazlack: Satisficing in Knowledge-Based Systems. Data Knowl. Eng. 5: 139-166 (1990)
	1988
13		Lawrence J. Mazlack: Heuristic Principles Supporting Making Time Critical Decisions in Knowledge-Based Systems. ISMIS 1988: 70-80
	1987
12		Lawrence J. Mazlack: Abstract Inference Structures to Support Variable Rule Structures for Expert Systems. ISMIS 1987: 123-130
	1985
11		M. Samardar, Lawrence J. Mazlack, J. H. Nevin: An Exercise in Engineering Circuit Design Using an Expert System. CAIA 1985: 281-286
10		Lawrence J. Mazlack, Jeffrey Bernstein, David Kelley, Greg Vaughn: A Multi-Threshold, Internal Rule Representation Form Used to Support User Modifiable Knowledge-Based Systems. Data Knowl. Eng. 1(4): 327-336 (1985)
	1982
9		Lawrence J. Mazlack, Richard A. Feinauer: Surface Analysis Of Queries Directed Toward A Database. COLING 1982: 207-214
	1981
8		Lawrence J. Mazlack: Natural language symbol string storage. Journal of Systems and Software 2(1): 71-79 (1981)
	1980
7		Lawrence J. Mazlack, Richard A. Feinauer: Establishing a Basis for Mapping Natural-Language Statements Onto a Database Query Language. SIGIR 1980: 192-202
6		Lawrence J. Mazlack: Identifying Potential to Acquire Programming Skill. Commun. ACM 23(1): 14-17 (1980)
	1979
5		Lawrence J. Mazlack: An Empirical Comparison: Tree and Lattice Structures for Symbolic Data Bases. SIGIR 1979: 33-40
	1978
4		Lawrence J. Mazlack: Predicting Student Success in an Introductory Programming Course. Comput. J. 21(4): 380-384 (1978)
	1976
3		Lawrence J. Mazlack: Computer Construction of Crossword Puzzles Using Precedence Relationships. Artif. Intell. 7(1): 1-19 (1976)
2		Lawrence J. Mazlack: Machine Selection of Elements in Crossword Puzzles: An Application of Computational Linguistics. SIAM J. Comput. 5(1): 51-72 (1976)
1		Lawrence J. Mazlack: Shockwave Rider - Book Review. SIGIR Forum 11(1): 8 (1976)

Coauthor Index

1	Jeffrey Bernstein	[10]
2	Sarah Coppock	[22]
3	Richard A. Feinauer	[7] [9]
4	Aijing He	[24]
5	David Kelley	[10]
6	Pavel Klinov	[29] [32] [34] [35] [38]
7	J. H. Nevin	[11]
8	Roger Alan Pick	[15]
9	M. Samardar	[11]
10	Julia M. Taylor	[21] [26] [31] [33] [35]
11	Paul Tudor	[15]
12	Greg Vaughn	[10]
13	Ethan White	[41] [42]
14	Wallace R. Wood	[15]
15	Yaoyao Zhu	[24]

Colors in the list of coauthors

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