Daniel G. Brown

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 15

Top Topics

Group Cognition

Algorithmic Information Theory

Top Venues

Publications

Christopher Liscio, Daniel G. Brown
Watching Popular Musicians Learn by Ear: A Hypothesis-Generating Study of Human-Recording Interactions in YouTube Videos. CoRR (2024)
Aisha Khatun, Daniel G. Brown
A Study on Large Language Models' Limitations in Multiple-Choice Question Answering. CoRR (2024)
Aisha Khatun, Daniel G. Brown
TruthEval: A Dataset to Evaluate LLM Truthfulness and Reliability. CoRR (2024)
Aisha Khatun, Daniel G. Brown
Reliability Check: An Analysis of GPT-3's Response to Sensitive Topics and Prompt Wording. CoRR (2023)
Fabricio Goes, Zisen Zhou, Piotr Sawicki, Marek Grzes, Daniel G. Brown
Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges. CoRR (2022)
Tiasa Mondol, Daniel G. Brown
Incorporating Algorithmic Information Theory into Fundamental Concepts of Computational Creativity. ICCC (2021)
Daniel G. Brown, Tiasa Mondol
On the Problem of Small Objects. Entropy 23 (11) (2021)
Tiasa Mondol, Daniel G. Brown
Computational Creativity and Aesthetics with Algorithmic Information Theory. Entropy 23 (12) (2021)
Daniel G. Brown, Lauren Byl, Maura R. Grossman
Are Machine Learning Corpora "Fair Dealing" under Canadian Law? ICCC (2021)
Carolyn Lamb, Daniel G. Brown
TwitSong 3.0: Towards Semantic Revisions in Computational Poetry. ICCC (2019)
Carolyn Lamb, Daniel G. Brown, Charles L. A. Clarke
Evaluating Computational Creativity: An Interdisciplinary Tutorial. ACM Comput. Surv. 51 (2) (2018)
Carolyn Lamb, Daniel G. Brown, Charles L. A. Clarke
Incorporating novelty, meaning, reaction and craft into computational poetry: a negative experimental result. ICCC (2017)
Carolyn Lamb, Daniel G. Brown, Charles L. A. Clarke
Evaluating digital poetry: Insights from the CAT. ICCC (2016)
Carolyn Lamb, Daniel G. Brown, Charles L. A. Clarke
Human Competence in Creativity Evaluation. ICCC (2015)
Eric Marinier, Daniel G. Brown, Brendan J. McConkey
Pollux: platform independent error correction of single and mixed genomes. BMC Bioinform. 16 (2015)
Margareta Ackerman, Daniel G. Brown, David Loker
Effects of rooting via out-groups on in-group topology in phylogeny. Int. J. Bioinform. Res. Appl. 10 (4/5) (2014)
Abhishek Singhi, Daniel G. Brown
On Cultural, Textual and Experiential Aspects of Music Mood. ISMIR (2014)
Abhishek Singhi, Daniel G. Brown
Are Poetry and Lyrics All That Different? ISMIR (2014)
Daniel G. Brown, Jakub Truszkowski
Fast error-tolerant quartet phylogeny algorithms. Theor. Comput. Sci. 483 (2013)
Daniel G. Brown, Jakub Truszkowski
LSHPlace: Fast Phylogenetic Placement Using Locality-Sensitive Hashing. Pacific Symposium on Biocomputing (2013)
Daniel Dexter, Daniel G. Brown
Fast half-sibling population reconstruction: theory and algorithms. Algorithms Mol. Biol. 8 (2013)
Jakub Truszkowski, Yanqi Hao, Daniel G. Brown
Towards a practical O(n log n) phylogeny algorithm. Algorithms Mol. Biol. 7 (2012)
Benjamin Martin, Daniel G. Brown, Pierre Hanna, Pascal Ferraro
BLAST for Audio Sequences Alignment: A Fast Scalable Cover Identification Tool. ISMIR (2012)
Margareta Ackerman, Daniel G. Brown, David Loker
Effects of rooting via outgroups on ingroup topology in phylogeny. ICCABS (2012)
Daniel G. Brown
Invited: Fast and theoretically strong algorithms for kinship discovery. ICCABS (2011)
Daniel G. Brown, Jakub Truszkowski
Fast reconstruction of phylogenetic trees using locally-sensitive hashing CoRR (2011)
Daniel G. Brown, Jakub Truszkowski
Towards a Practical O(n logn) Phylogeny Algorithm. WABI (2011)
Daniel G. Brown, Jakub Truszkowski
New decoding algorithms for Hidden Markov Models using distance measures on labellings. BMC Bioinform. 11 (S-1) (2010)
Daniel G. Brown, Daniil Golod
best paths: algorithms and applications. BMC Bioinform. 11 (S-1) (2010)
Daniel G. Brown, Tanya Y. Berger-Wolf
Discovering Kinship through Small Subsets. WABI (2010)
Hussein Hirjee, Daniel G. Brown
Solving Misheard Lyric Search Queries Using a Probabilistic Model of Speech Sounds. ISMIR (2010)
Christina Boucher, Daniel G. Brown
Detecting Motifs in a Large Data Set: Applying Probabilistic Insights to Motif Finding. BICoB (2009)
Hussein Hirjee, Daniel G. Brown
Automatic Detection of Internal and Imperfect Rhymes in Rap Lyrics. ISMIR (2009)
Daniil Golod, Daniel G. Brown
A Tutorial of Techniques for Improving Standard Hidden Markov Model Algorithms. J. Bioinform. Comput. Biol. 7 (4) (2009)
Christina Boucher, Daniel G. Brown, Stephane Durocher
On the Structure of Small Motif Recognition Instances. SPIRE (2008)
Dan Gusfield, Yelena Frid, Daniel G. Brown
Integer Programming Formulations and Computations Solving Phylogenetic and Population Genetic Problems with Missing or Genotypic Data. COCOON (2007)
Brona Brejová, Daniel G. Brown, Tomás Vinar
The most probable annotation problem in HMMs and its application to bioinformatics. J. Comput. Syst. Sci. 73 (7) (2007)
Christina Boucher, Daniel G. Brown, Paul Church
A Graph Clustering Approach to Weak Motif Recognition. WABI (2007)
Emily W. Xu, Paul Kearney, Daniel G. Brown
The Use of Functional Domains to Improve Transmembrane Protein Topology Prediction. J. Bioinform. Comput. Biol. 4 (1) (2006)
Brona Brejová, Daniel G. Brown, Ian M. Harrower, Tomás Vinar
New Bounds for Motif Finding in Strong Instances. CPM (2006)
Jinbo Xu, Daniel G. Brown, Ming Li, Bin Ma
Optimizing Multiple Spaced Seeds for Homology Search. J. Comput. Biol. 13 (7) (2006)
Daniel G. Brown, Ian M. Harrower
Integer Programming Approaches to Haplotype Inference by Pure Parsimony. IEEE ACM Trans. Comput. Biol. Bioinform. 3 (2) (2006)
Brona Brejová, Daniel G. Brown, Ming Li, Tomás Vinar
ExonHunter: a comprehensive approach to gene finding. ISMB (Supplement of Bioinformatics) (2005)
Brona Brejová, Daniel G. Brown, Ian M. Harrower, Alejandro López-Ortiz, Tomás Vinar
Sharper Upper and Lower Bounds for an Approximation Scheme for Consensus-Pattern. CPM (2005)
Brona Brejová, Daniel G. Brown, Tomás Vinar
Vector seeds: An extension to spaced seeds. J. Comput. Syst. Sci. 70 (3) (2005)
Emily W. Xu, Daniel G. Brown, Paul Kearney
The use of functional domains to improve transmembrane protein topology prediction. APBC (2005)
Daniel G. Brown
Optimizing Multiple Seeds for Protein Homology Search. IEEE ACM Trans. Comput. Biol. Bioinform. 2 (1) (2005)
Alexander K. Hudek, Daniel G. Brown
Ancestral sequence alignment under optimal conditions. BMC Bioinform. 6 (2005)
Jinbo Xu, Daniel G. Brown, Ming Li, Bin Ma
Optimizing Multiple Spaced Seeds for Homology Search. CPM (2004)
Daniel G. Brown, Alexander K. Hudek
New Algorithms for Multiple DNA Sequence Alignment. WABI (2004)
Daniel G. Brown, Ming Li, Bin Ma
A Tutorial of Recent Developments in the Seeding of Local Alignment. J. Bioinform. Comput. Biol. 2 (4) (2004)
Brona Brejová, Daniel G. Brown, Tomás Vinar
The Most Probable Labeling Problem in HMMs and Its Application to Bioinformatics. WABI (2004)
Daniel G. Brown
Multiple Vector Seeds for Protein Alignment. WABI (2004)
Brona Brejová, Daniel G. Brown, Tomás Vinar
Optimal Spaced Seeds for Homologous Coding Regions. J. Bioinform. Comput. Biol. 1 (4) (2004)
Daniel G. Brown, Ian M. Harrower
A New Integer Programming Formulation for the Pure Parsimony Problem in Haplotype Analysis. WABI (2004)
Brona Brejová, Daniel G. Brown, Tomás Vinar
Optimal DNA Signal Recognition Models with a Fixed Amount of Intrasignal Dependency. WABI (2003)
Brona Brejová, Daniel G. Brown, Tomás Vinar
Optimal Spaced Seeds for Hidden Markov Models, with Application to Homologous Coding Regions. CPM (2003)
Brona Brejová, Daniel G. Brown, Tomás Vinar
Vector Seeds: An Extension to Spaced Seeds Allows Substantial Improvements in Sensitivity and Specifity. WABI (2003)
Daniel G. Brown
A probabilistic analysis of a greedy algorithm arising from computational biology. SODA (2001)
Daniel G. Brown, Todd J. Vision, Steven D. Tanksley
Selective mapping: a discrete optimization approach to selecting a population subset for use in a high-density genetic mapping project. SODA (2000)