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Lawrence J. Mazlack
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2010 – 2019
- 2015
- [j16]Ye Chen, Lawrence J. Mazlack, Ali A. Minai
, Long J. Lu:
Inferring causal networks using fuzzy cognitive maps and evolutionary algorithms with application to gene regulatory network reconstruction. Appl. Soft Comput. 37: 667-679 (2015) - 2012
- [c43]Lawrence J. Mazlack:
Pragmatically Computationally Difficult Pragmatics to Recognize Humour. AAAI Fall Symposium: Artificial Intelligence of Humor 2012 - [c42]Ye Chen, Lawrence J. Mazlack, Long J. Lu:
Inferring Fuzzy Cognitive Map models for Gene Regulatory Networks from gene expression data. BIBM 2012: 1-4 - [c41]Ye Chen, Lawrence J. Mazlack, Long J. Lu:
Learning fuzzy cognitive maps from data by ant colony optimization. GECCO 2012: 9-16 - 2011
- [c40]Lawrence J. Mazlack:
Causal modeling approximations in the medical domain. FUZZ-IEEE 2011: 1822-1829 - [c39]Ethan White, Lawrence J. Mazlack:
Discerning suicide notes causality using fuzzy cognitive maps. FUZZ-IEEE 2011: 2940-2947 - [c38]Ethan White, Lawrence J. Mazlack:
Discovering Causality in Suicide Notes Using Fuzzy Cognitive Maps. MAICS 2011: 54-59 - 2010
- [c37]Lawrence J. Mazlack:
Approximate Representations in the Medical Domain. Web Intelligence 2010: 14-21
2000 – 2009
- 2009
- [c36]Lawrence J. Mazlack:
General Causal Representations in the Medical Domain. BMEI 2009: 1-5 - [c35]Lawrence J. Mazlack, Pavel Klinov:
Ontology Granularity and Rough Equality of Concepts. SMC 2009: 1298-1303 - 2008
- [j15]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 Intell. Agent Syst. 6(2): 157-174 (2008) - [p4]Lawrence J. Mazlack:
Naïve Rules Do Not Consider Underlying Causality. Data Mining: Foundations and Practice 2008: 213-229 - [p3]Lawrence J. Mazlack:
Inexact Multiple-Grained Causal Complexes. Data Mining: Foundations and Practice 2008: 231-249 - 2007
- [c34]Pavel Klinov, Lawrence J. Mazlack:
On Possible Applications of Rough Mereology to Handling Granularity in Ontological Knowledge. AAAI 2007: 1876-1877 - [c33]Julia M. Taylor, Lawrence J. Mazlack:
An Investigation into Computational Recognition of Children's Jokes. AAAI 2007: 1904-1905 - [c32]Pavel Klinov, Lawrence J. Mazlack:
Interval Rough Mereology for Approximating Hierarchical Knowledge. RSFDGrC 2007: 557-564 - [c31]Lawrence J. Mazlack:
General imprecise causal reasoning representations. SMC 2007: 480-485 - [c30]Julia M. Taylor, Lawrence J. Mazlack:
Multiple component computational recognition of children's jokes. SMC 2007: 1194-1199 - 2006
- [c29]Pavel Klinov, Lawrence J. Mazlack:
Granulating semantic web ontologies. GrC 2006: 431-434 - [p2]Lawrence J. Mazlack:
Commonsense Causal Modeling in the Data Mining Context. Foundations and Novel Approaches in Data Mining 2006: 1-22 - 2005
- [j14]Lawrence J. Mazlack, Yaoyao Zhu, Aijing He:
Autonomous granulation using the Mountain Method. Int. J. Intell. Syst. 20(4): 415-432 (2005) - [c28]Bartley Richardson, Lawrence J. Mazlack:
Approximate Metrics for Autonomous Semantic Web Ontology Merging. FUZZ-IEEE 2005: 1014-1019 - [c27]Lawrence J. Mazlack:
Imperfect commonsense granular determinism. GrC 2005: 565-570 - [c26]Lawrence J. Mazlack, Julia M. Taylor:
Focused Statistical Joke Generation. IC-AI 2005: 165-174 - [p1]Lawrence J. Mazlack:
Granular Nested Causal Complexes. Intelligent Data Mining 2005: 23-48 - 2004
- [j13]Lawrence J. Mazlack:
Imperfect Causality. Fundam. Informaticae 59(2-3): 191-201 (2004) - [j12]Lawrence J. Mazlack:
Discovery Of Causality Possibilities. Int. J. Pattern Recognit. Artif. Intell. 18(1): 63-73 (2004) - [c25]Lawrence J. Mazlack:
Imprecise nested granular complexes. FUZZ-IEEE 2004: 91-96 - [c24]Lawrence J. Mazlack:
Using association rules without understanding their underlying causality reduces their decision value. ICMLA 2004: 312-319 - [c23]Sarah Coppock, Lawrence J. Mazlack:
Multi-modal Data Fusion: A Description. KES 2004: 1136-1142 - [c22]Julia M. Taylor, Lawrence J. Mazlack:
Humorous wordplay recognition. SMC (4) 2004: 3306-3311 - 2003
- [c21]Sarah Coppock, Lawrence J. Mazlack:
Soft multi-modal data fusion. FUZZ-IEEE 2003: 636-641 - [c20]Lawrence J. Mazlack:
Causal possibility model structures. FUZZ-IEEE 2003: 684-689 - [c19]Lawrence J. Mazlack:
Imprecise Causality in Mined Rules. RSFDGrC 2003: 581-588 - 2002
- [c18]Lawrence J. Mazlack, Sarah Coppock:
Granulating data on non-scalar attribute values. FUZZ-IEEE 2002: 944-949 - 2001
- [c17]Lawrence J. Mazlack:
Quantification and granulation. SMC 2001: 412-417
1990 – 1999
- 1997
- [j11]Lawrence J. Mazlack:
Approximate reasoning applied to unsupervised database mining. Int. J. Intell. Syst. 12(5): 391-414 (1997) - [c16]Lawrence J. Mazlack:
Autonomous Database Mining and Disorder Measures. ISMIS 1997: 308-317 - [c15]Lawrence J. Mazlack:
Developing a focus in unsupervised database mining. SAC 1997: 187-191 - 1993
- [j10]Lawrence J. Mazlack, Wonboo Lee:
Identifying the most effective reasoning calculi for a knowledge-based system. IEEE Trans. Syst. Man Cybern. 23(5): 1417-1424 (1993) - 1992
- [c14]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
- [j9]Lawrence J. Mazlack:
Satisficing in Knowledge-Based Systems. Data Knowl. Eng. 5: 139-166 (1990)
1980 – 1989
- 1988
- [c13]Lawrence J. Mazlack:
Heuristic Principles Supporting Making Time Critical Decisions in Knowledge-Based Systems. ISMIS 1988: 70-80 - 1987
- [c12]Lawrence J. Mazlack:
Abstract Inference Structures to Support Variable Rule Structures for Expert Systems. ISMIS 1987: 123-130 - 1986
- [c11]Lawrence J. Mazlack:
Taxonomic ambiguities in category variations needed to support machine conceptualization. ISMIS 1986: 325-332 - 1985
- [j8]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) - [c10]M. Samardar, Lawrence J. Mazlack, J. H. Nevin:
An Exercise in Engineering Circuit Design Using an Expert System. CAIA 1985: 281-286 - 1983
- [c9]Lawrence J. Mazlack:
Introducing subprograms as the first control structure in an introductory course. SIGCSE 1983: 265-270 - 1982
- [j7]Lawrence J. Mazlack, Richard A. Feinauer, William Ernest Leigh, Neomi Paz:
A mechanism for natural language access to database systems: U. of Cincinnati. SIGART Newsl. 79: 44-45 (1982) - [c8]Lawrence J. Mazlack, Richard A. Feinauer:
Surface Analysis Of Queries Directed Toward A Database. COLING 1982: 207-214 - 1981
- [j6]Lawrence J. Mazlack:
Natural language symbol string storage. J. Syst. Softw. 2(1): 71-79 (1981) - [c7]Lawrence J. Mazlack:
Using a sales incentive technique in a first course in software engineering. SIGCSE 1981: 37-40 - 1980
- [j5]Lawrence J. Mazlack:
Identifying Potential to Acquire Programming Skill. Commun. ACM 23(1): 14-17 (1980) - [c6]Lawrence J. Mazlack, Richard A. Feinauer:
Establishing a Basis for Mapping Natural-Language Statements Onto a Database Query Language. SIGIR 1980: 192-202
1970 – 1979
- 1979
- [c5]Lawrence J. Mazlack:
The role of computer science education in aiding technology transfer to less developed countries (Panel Discussion). SIGCSE 1979: 214 - [c4]Lawrence J. Mazlack:
An Empirical Comparison: Tree and Lattice Structures for Symbolic Data Bases. SIGIR 1979: 33-40 - 1978
- [j4]Lawrence J. Mazlack:
Predicting Student Success in an Introductory Programming Course. Comput. J. 21(4): 380-384 (1978) - [c3]Lawrence J. Mazlack:
The use of interactive fortran. SIGCSE/CSA 1978: 260-265 - 1977
- [c2]Lawrence J. Mazlack:
Developing computer awareness. SIGCSE-1 1977: 184-187 - 1976
- [j3]Lawrence J. Mazlack:
Computer Construction of Crossword Puzzles Using Precedence Relationships. Artif. Intell. 7(1): 1-19 (1976) - [j2]Lawrence J. Mazlack:
Machine Selection of Elements in Crossword Puzzles: An Application of Computational Linguistics. SIAM J. Comput. 5(1): 51-72 (1976) - [j1]Lawrence J. Mazlack:
Shockwave Rider - Book Review. SIGIR Forum 11(1): 8 (1976) - [c1]Lawrence J. Mazlack:
Does a computer have sexual preferences? SIGCSE-SIGCUE 1976: 74-78
Coauthor Index
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