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Darrell Conklin
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2020 – today
- 2024
- [c31]Darrell Conklin:
Mining Significant Sequential Contrast Patterns. MCM 2024: 387-392
2010 – 2019
- 2019
- [c30]Darrell Conklin:
Music Corpus Analysis Using Unwords. MCM 2019: 338-343 - [c29]Kerstin Neubarth, Darrell Conklin:
Symbolic Music Classification Based on Multiple Sequential Patterns. PKDD/ECML Workshops (2) 2019: 502-508 - [c28]Darrell Conklin:
Sequence Generation Using Unwords. PKDD/ECML Workshops (2) 2019: 524-530 - 2018
- [j15]Víctor Padilla Martín-Caro
, Darrell Conklin:
Generation of Two-Voice Imitative Counterpoint from Statistical Models. Int. J. Interact. Multim. Artif. Intell. 5(3): 22-32 (2018) - 2017
- [c27]Izaro Goienetxea, Darrell Conklin:
Melody Transformation with Semiotic Patterns. CMMR 2017: 477-488 - 2016
- [c26]Daniel Shanahan, Kerstin Neubarth, Darrell Conklin:
Mining Musical Traits of Social Functions in Native American Music. ISMIR 2016: 681-687 - [p2]Kerstin Neubarth, Darrell Conklin:
Contrast Pattern Mining in Folk Music Analysis. Computational Music Analysis 2016: 393-424 - [p1]Darrell Conklin, Stéphanie Weisser:
Pattern and Antipattern Discovery in Ethiopian Bagana Songs. Computational Music Analysis 2016: 425-443 - 2015
- [j14]Dorien Herremans
Generating structured music for bagana using quality metrics based on Markov models. Expert Syst. Appl. 42(21): 7424-7435 (2015) - [c25]Louis Bigo, Darrell Conklin:
A Viewpoint Approach to Symbolic Music Transformation. CMMR 2015: 213-227 - [c24]Raymond Whorley
Improved Iterative Random Walk for Four-Part Harmonization. MCM 2015: 64-70 - 2014
- [c23]Darrell Conklin, Stéphanie Weisser:
Antipattern Discovery in Ethiopian Bagana Songs. Discovery Science 2014: 62-72 - [c22]Dorien Herremans, Kenneth Sörensen, Darrell Conklin:
Sampling the extrema from statistical models of music with variable neighbourhood search. ICMC 2014 - 2013
- [c21]Darrell Conklin, Iratxe Montes, Aitor Albaina, Andone Estonba:
Improved conversion rates for SNP genotyping of nonmodel organisms. IWBBIO 2013: 127-134 - 2012
- [c20]Ruben Hillewaere, Bernard Manderick, Darrell Conklin:
Alignment Methods for Folk Tune Classification. GfKl 2012: 369-377 - [c19]Kerstin Neubarth, Izaro Goienetxea, Colin Johnson, Darrell Conklin:
Association Mining of Folk Music Genres and Toponyms. ISMIR 2012: 7-12 - [c18]Ruben Hillewaere, Bernard Manderick, Darrell Conklin:
String Methods for Folk Tune Genre Classification. ISMIR 2012: 217-222 - 2011
- [c17]Kerstin Neubarth, Mathieu Bergeron, Darrell Conklin:
Associations between Musicology and Music Information Retrieval. ISMIR 2011: 429-434 - [c16]Mathieu Bergeron, Darrell Conklin:
Subsumption of Vertical Viewpoint Patterns. MCM 2011: 1-12 - 2010
- [j13]Darrell Conklin, Christina Anagnostopoulou, Rafael Ramírez
Guest Editorial. Intell. Data Anal. 14(5): 531 (2010) - [j12]Darrell Conklin:
Discovery of distinctive patterns in music. Intell. Data Anal. 14(5): 547-554 (2010) - [c15]Darrell Conklin, Mathieu Bergeron:
Discovery of Contrapuntal Patterns. ISMIR 2010: 201-206 - [c14]Ruben Hillewaere, Bernard Manderick, Darrell Conklin:
String Quartet Classification with Monophonic Models. ISMIR 2010: 537-542 - [c13]Rafael Ramírez
MML 2010: international workshop on machine learning and music. ACM Multimedia 2010: 1733-1734
2000 – 2009
- 2009
- [c12]Ruben Hillewaere, Bernard Manderick, Darrell Conklin:
Global Feature Versus Event Models for Folk Song Classification. ISMIR 2009: 729-734 - 2008
- [j11]Darrell Conklin, Mathieu Bergeron:
Feature Set Patterns in Music. Comput. Music. J. 32(1): 60-70 (2008) - [c11]Mathieu Bergeron, Darrell Conklin:
Structured Polyphonic Patterns. ISMIR 2008: 69-74 - 2006
- [j10]Darrell Conklin, Christina Anagnostopoulou:
Segmental Pattern Discovery in Music. INFORMS J. Comput. 18(3): 285-293 (2006) - [j9]Darrell Conklin:
Melodic analysis with segment classes. Mach. Learn. 65(2-3): 349-360 (2006) - 2005
- [j8]Darrell Conklin, Betty Haldeman, Zeren Gao:
Gene finding for the helical cytokines. Bioinform. 21(9): 1776-1781 (2005) - 2004
- [j7]Darrell Conklin:
Recognition of the Helical Cytokine Fold. J. Comput. Biol. 11(6): 1189-1200 (2004) - [c10]Marcus T. Pearce
Methods for Combining Statistical Models of Music. CMMR 2004: 295-312 - 2002
- [j6]Darrell Conklin, Inge Jonassen
Association of nucleotide patterns with gene function classes: application to human 3' untranslated sequences. Bioinform. 18(1): 182-189 (2002) - [j5]Inge Jonassen
Structure motif discovery and mining the PDB. Bioinform. 18(2): 362-367 (2002) - [c9]Darrell Conklin:
Representation and Discovery of Vertical Patterns in Music. ICMAI 2002: 32-42 - 2001
- [c8]Darrell Conklin, Christina Anagnostopoulou:
Representation and Discovery of Multiple Viewpoint Patterns. ICMC 2001 - 2000
- [j4]Darrell Conklin, David P. Yee, Richard J. Millar, J. Engelbrecht, H. Vissing:
Mining of Assembled Expressed Sequence Tag (EST) Data for Protein Families: Application to the G Protein-coupled Receptor Superfamily. Briefings Bioinform. 1(1): 93-99 (2000) - [c7]Inge Jonassen, Ingvar Eidhammer, Darrell Conklin, William R. Taylor:
Structure Motif Discovery and Mining the PDB. German Conference on Bioinformatics 2000: 175-182
1990 – 1999
- 1998
- [c6]Darrell Conklin, Terry Farrah:
Protein motif recognition in DNA sequences containing indel errors. German Conference on Bioinformatics 1998 - [c5]David P. Yee, Darrell Conklin:
Automated Clustering and Assembly of Large EST Collections. ISMB 1998: 203-211 - 1995
- [j3]Darrell Conklin:
Machine Discovery of Protein Motifs. Mach. Learn. 21(1-2): 125-150 (1995) - [c4]Janice I. Glasgow, Suzanne Fortier, Darrell Conklin:
Knowledge representation tools for molecular scene analysis. HICSS (5) 1995: 217-226 - 1994
- [j2]Darrell Conklin, Ian H. Witten
Complexity-Based Induction. Mach. Learn. 16(3): 203-225 (1994) - [c3]Darrell Conklin, Suzanne Fortier, Janice I. Glasgow:
Knowledge Discovery of Multilevel Protein Motifs. ISMB 1994: 96-102 - 1993
- [j1]Darrell Conklin, Suzanne Fortier, Janice I. Glasgow:
Knowledge Discovery in Molecular Databases. IEEE Trans. Knowl. Data Eng. 5(6): 985-987 (1993) - [c2]Darrell Conklin, Suzanne Fortier, Janice I. Glasgow:
Representation for Discovery of Protein Motifs. ISMB 1993: 101-108 - 1992
- [c1]Darrell Conklin, Janice I. Glasgow:
Spatial Analogy and Subsumption. ML 1992: 111-116
Coauthor Index
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