Dan Brown

According to our database, Dan Brown authored at least 92 papers between 2000 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models.

Max Peeperkorn, Tom Kouwenhoven, Dan Brown, Anna Jordanous

CoRR, July, 2025

Assessment of AI-Generated Pediatric Rehabilitation SOAP-Note Quality.

Solomon Amenyo, Maura R. Grossman, Daniel G. Brown, Brendan Wylie-Toal

CoRR, March, 2025

Can Large Language Models Outperform Non-Experts in Poetry Evaluation? A Comparative Study Using the Consensual Assessment Technique.

Piotr Sawicki, Marek Grzes, Dan Brown, Fabrício Góes

CoRR, February, 2025

Helping Popular Musicians Learn by Ear: Analyzing Video Lessons to Inform the Design of Memory-Oriented Human-Recording Interactions.

Christopher Liscio, Daniel G. Brown

Proceedings of the Nineteenth International Conference on Tangible, 2025

Self-Disclosure and Beyond: Takeaways from an Online and In-Person Computing Ethics Course.

Helen Weixu Chen, Maura R. Grossman, Daniel G. Brown

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Precarity and Solidarity: Preliminary Results on a Study of Queer and Disabled Fiction Writers' Experiences with Generative AI.

Carolyn Elizabeth Lamb, Daniel G. Brown, Maura R. Grossman

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Opportunities and Limits of Online Video Studies.

Christopher Liscio, Daniel G. Brown

Proceedings of the 2025 ACM Designing Interactive Systems Conference, 2025

2024

Assessing Language Models' Worldview for Fiction Generation.

Aisha Khatun, Daniel G. Brown

CoRR, 2024

Watching Popular Musicians Learn by Ear: A Hypothesis-Generating Study of Human-Recording Interactions in YouTube Videos.

Christopher Liscio, Daniel G. Brown

CoRR, 2024

TruthEval: A Dataset to Evaluate LLM Truthfulness and Reliability.

Aisha Khatun, Daniel G. Brown

CoRR, 2024

A Study on Large Language Models' Limitations in Multiple-Choice Question Answering.

Aisha Khatun, Daniel G. Brown

CoRR, 2024

Creativity as Search for Small and Interesting Programs.

Dan Ventura, Dan Brown

Proceedings of the 15th International Conference on Computational Creativity, 2024

Is Temperature the Creativity Parameter of Large Language Models?

Max Peeperkorn, Tom Kouwenhoven, Dan Brown, Anna Jordanous

Proceedings of the 15th International Conference on Computational Creativity, 2024

Depictions of Jews in Large Generative Models.

Margareta Ackerman, Daniel G. Brown

Proceedings of the 15th International Conference on Computational Creativity, 2024

2023

Reliability Check: An Analysis of GPT-3's Response to Sensitive Topics and Prompt Wording.

Aisha Khatun, Daniel G. Brown

CoRR, 2023

Large Music Recommendation Studies for Small Teams.

Kyle Robinson, Dan Brown

CoRR, 2023

Automated Time-frequency Domain Audio Crossfades using Graph Cuts.

Kyle Robinson, Dan Brown

CoRR, 2023

What Makes Gameplay Creative?

Brad Spendlove, Dan Brown

Proceedings of the 14th International Conference on Computational Creativity, 2023

On the power of special-purpose GPT models to create and evaluate new poetry in old styles.

Piotr Sawicki, Marek Grzes, Fabrício Góes, Anna Jordanous, Dan Brown, Simona Paraskevopoulou, Max Peeperkorn, Aisha Khatun

Proceedings of the 14th International Conference on Computational Creativity, 2023

Bits of Grass: Does GPT already know how to write like Whitman?

Piotr Sawicki, Marek Grzes, Fabrício Góes, Dan Brown, Max Peeperkorn, Aisha Khatun

Proceedings of the 14th International Conference on Computational Creativity, 2023

On Characterizations of Large Language Models and Creativity Evaluation.

Max Peeperkorn, Dan Brown, Anna Jordanous

Proceedings of the 14th International Conference on Computational Creativity, 2023

Should we have seen the coming storm? Transformers, society, and CC.

Carolyn Lamb, Dan Brown

Proceedings of the 14th International Conference on Computational Creativity, 2023

Is GPT-4 Good Enough to Evaluate Jokes?

Fabrício Góes, Piotr Sawicki, Marek Grzes, Marco Volpe, Dan Brown

Proceedings of the 14th International Conference on Computational Creativity, 2023

Reviewing, Creativity, and Algorithmic Information Theory.

Dan Brown, Max Peeperkorn

Proceedings of the 14th International Conference on Computational Creativity, 2023

2022

Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges.

Fabrício Góes, Zisen Zhou, Piotr Sawicki, Marek Grzes, Daniel G. Brown

CoRR, 2022

Training GPT-2 to represent two Romantic-era authors: challenges, evaluations and pitfalls.

Piotr Sawicki, Marek Grzes, Anna Jordanous, Dan Brown, Max Peeperkorn

Proceedings of the 13th International Conference on Computational Creativity, 2022

Ethics, Aesthetics and Computational Creativity.

Daniel G. Brown, Dan Ventura

Proceedings of the 13th International Conference on Computational Creativity, 2022

Is style reproduction a computational creativity task?

Daniel G. Brown, Anna Jordanous

Proceedings of the 13th International Conference on Computational Creativity, 2022

2021

Computational Creativity and Aesthetics with Algorithmic Information Theory.

Tiasa Mondol, Daniel G. Brown

Entropy, 2021

On the Problem of Small Objects.

Daniel G. Brown, Tiasa Mondol

Entropy, 2021

Quantitative User Perceptions of Music Recommendation List Diversity.

Kyle Robinson, Dan Brown

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Incorporating Algorithmic Information Theory into Fundamental Concepts of Computational Creativity.

Tiasa Mondol, Daniel G. Brown

Proceedings of the Twelfth International Conference on Computational Creativity, 2021

Are Machine Learning Corpora "Fair Dealing" under Canadian Law?

Dan Brown, Lauren Byl, Maura R. Grossman

Proceedings of the Twelfth International Conference on Computational Creativity, 2021

2020

User Insights on Diversity in Music Recommendation Lists.

Kyle Robinson, Dan Brown, Markus Schedl

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

Shallow Art: Art Extension Through Simple Machine Learning.

Kyle Robinson, Dan Brown

Proceedings of the Tenth International Conference on Computational Creativity, 2019

TwitSong 3.0: Towards Semantic Revisions in Computational Poetry.

Carolyn Lamb, Daniel G. Brown

Proceedings of the Tenth International Conference on Computational Creativity, 2019

2018

Evaluating Computational Creativity: An Interdisciplinary Tutorial.

Carolyn Lamb, Daniel G. Brown, Charles L. A. Clarke

ACM Comput. Surv., 2018

2017

Incorporating novelty, meaning, reaction and craft into computational poetry: a negative experimental result.

Carolyn Lamb, Daniel G. Brown, Charles L. A. Clarke

Proceedings of the Eighth International Conference on Computational Creativity, 2017

Towards Polyphony Reconstruction Using Multidimensional Multiple Sequence Alignment.

Dimitrios Bountouridis, Frans Wiering, Dan Brown, Remco C. Veltkamp

Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2017

Melody Retrieval and Classification Using Biologically-Inspired Techniques.

Dimitrios Bountouridis, Dan Brown, Hendrik Vincent Koops, Frans Wiering, Remco C. Veltkamp

Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2017

2016

Evaluating digital poetry: Insights from the CAT.

Carolyn Lamb, Daniel G. Brown, Charles L. A. Clarke

Proceedings of the Seventh International Conference on Computational Creativity, 2016

2015

Pollux: platform independent error correction of single and mixed genomes.

Eric Marinier, Daniel G. Brown, Brendan J. McConkey

BMC Bioinform., 2015

Human Competence in Creativity Evaluation.

Carolyn Lamb, Daniel G. Brown, Charles L. A. Clarke

Proceedings of the Sixth International Conference on Computational Creativity, 2015

2014

Effects of rooting via out-groups on in-group topology in phylogeny.

Margareta Ackerman, Daniel G. Brown, David Loker

Int. J. Bioinform. Res. Appl., 2014

Are Poetry and Lyrics All That Different?

Abhishek Singhi, Daniel G. Brown

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

On Cultural, Textual and Experiential Aspects of Music Mood.

Abhishek Singhi, Daniel G. Brown

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

2013

Fast half-sibling population reconstruction: theory and algorithms.

Daniel Dexter, Daniel G. Brown

Algorithms Mol. Biol., 2013

LSHPlace: Fast Phylogenetic Placement Using Locality-Sensitive Hashing.

Daniel G. Brown, Jakub Truszkowski

Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

2012

PANDAseq: paired-end assembler for illumina sequences.

Andre P. Masella, Andrea K. Bartram, Jakub Truszkowski, Daniel Gregory Brown, Josh D. Neufeld

BMC Bioinform., 2012

Towards a practical O(n log n) phylogeny algorithm.

Jakub Truszkowski, Yanqi Hao, Daniel G. Brown

Algorithms Mol. Biol., 2012

Fast Phylogenetic Tree Reconstruction Using Locality-Sensitive Hashing.

Daniel Gregory Brown, Jakub Truszkowski

Proceedings of the Algorithms in Bioinformatics - 12th International Workshop, 2012

SibJoin: A Fast Heuristic for Half-Sibling Reconstruction.

Daniel Gregory Brown, Daniel Dexter

Proceedings of the Algorithms in Bioinformatics - 12th International Workshop, 2012

BLAST for Audio Sequences Alignment: A Fast Scalable Cover Identification Tool.

Benjamin Martin, Daniel G. Brown, Pierre Hanna, Pascal Ferraro

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Effects of rooting via outgroups on ingroup topology in phylogeny.

Margareta Ackerman, Dan Brown, David Loker

Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

2011

FEAST: Sensitive Local Alignment with Multiple Rates of Evolution.

Alexander K. Hudek, Daniel Gregory Brown

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Fast reconstruction of phylogenetic trees using locally-sensitive hashing

Daniel G. Brown, Jakub Truszkowski

CoRR, 2011

More accurate recombination prediction in HIV-1 using a robust decoding algorithm for HMMs.

Jakub Truszkowski, Daniel Gregory Brown

BMC Bioinform., 2011

Towards a Practical O(n logn) Phylogeny Algorithm.

Daniel G. Brown, Jakub Truszkowski

Proceedings of the Algorithms in Bioinformatics - 11th International Workshop, 2011

Invited: Fast and theoretically strong algorithms for kinship discovery.

Daniel G. Brown

Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

Fast Error-Tolerant Quartet Phylogeny Algorithms.

Daniel Gregory Brown, Jakub Truszkowski

Proceedings of the Combinatorial Pattern Matching - 22nd Annual Symposium, 2011

2010

New decoding algorithms for Hidden Markov Models using distance measures on labellings.

Daniel G. Brown, Jakub Truszkowski

BMC Bioinform., 2010

Decoding HMMs using the <i>k </i>best paths: algorithms and applications.

Daniel G. Brown, Daniil Golod

BMC Bioinform., 2010

Discovering Kinship through Small Subsets.

Daniel G. Brown, Tanya Y. Berger-Wolf

Proceedings of the Algorithms in Bioinformatics, 10th International Workshop, 2010

Solving Misheard Lyric Search Queries Using a Probabilistic Model of Speech Sounds.

Hussein Hirjee, Daniel G. Brown

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

2009

A Tutorial of Techniques for Improving Standard Hidden Markov Model Algorithms.

Daniil Golod, Daniel G. Brown

J. Bioinform. Comput. Biol., 2009

Automatic Detection of Internal and Imperfect Rhymes in Rap Lyrics.

Hussein Hirjee, Daniel G. Brown

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Detecting Motifs in a Large Data Set: Applying Probabilistic Insights to Motif Finding.

Christina Boucher, Daniel G. Brown

Proceedings of the Bioinformatics and Computational Biology, 2009

2008

On the Structure of Small Motif Recognition Instances.

Christina Boucher, Daniel G. Brown, Stephane Durocher

Proceedings of the String Processing and Information Retrieval, 2008

2007

The most probable annotation problem in HMMs and its application to bioinformatics.

Brona Brejová, Daniel G. Brown, Tomás Vinar

J. Comput. Syst. Sci., 2007

A Graph Clustering Approach to Weak Motif Recognition.

Christina Boucher, Daniel G. Brown, Paul Church

Proceedings of the Algorithms in Bioinformatics, 7th International Workshop, 2007

Integer Programming Formulations and Computations Solving Phylogenetic and Population Genetic Problems with Missing or Genotypic Data.

Dan Gusfield, Yelena Frid, Daniel G. Brown

Proceedings of the Computing and Combinatorics, 13th Annual International Conference, 2007

2006

Integer Programming Approaches to Haplotype Inference by Pure Parsimony.

Daniel G. Brown, Ian M. Harrower

IEEE ACM Trans. Comput. Biol. Bioinform., 2006

New Bounds for Motif Finding in Strong Instances.

Brona Brejová, Daniel G. Brown, Ian M. Harrower, Tomás Vinar

Proceedings of the Combinatorial Pattern Matching, 17th Annual Symposium, 2006

2005

Optimizing Multiple Seeds for Protein Homology Search.

Daniel G. Brown

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Vector seeds: An extension to spaced seeds.

Brona Brejová, Daniel G. Brown, Tomás Vinar

J. Comput. Syst. Sci., 2005

Ancestral sequence alignment under optimal conditions.

Alexander K. Hudek, Daniel G. Brown

BMC Bioinform., 2005

ExonHunter: a comprehensive approach to gene finding.

Brona Brejová, Daniel G. Brown, Ming Li, Tomás Vinar

Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Sharper Upper and Lower Bounds for an Approximation Scheme for Consensus-Pattern.

Brona Brejová, Daniel G. Brown, Ian M. Harrower, Alejandro López-Ortiz, Tomás Vinar

Proceedings of the Combinatorial Pattern Matching, 16th Annual Symposium, 2005

The use of functional domains to improve transmembrane protein topology prediction.

Emily W. Xu, Daniel G. Brown, Paul Kearney

Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore, 2005

2004

A Tutorial of Recent Developments in the Seeding of Local Alignment.

Daniel G. Brown, Ming Li, Bin Ma

J. Bioinform. Comput. Biol., 2004

Optimal Spaced Seeds for Homologous Coding Regions.

Brona Brejová, Daniel G. Brown, Tomás Vinar

J. Bioinform. Comput. Biol., 2004

New Algorithms for Multiple DNA Sequence Alignment.

Daniel G. Brown, Alexander K. Hudek

Proceedings of the Algorithms in Bioinformatics, 4th International Workshop, 2004

A New Integer Programming Formulation for the Pure Parsimony Problem in Haplotype Analysis.

Daniel G. Brown, Ian M. Harrower

Proceedings of the Algorithms in Bioinformatics, 4th International Workshop, 2004

Multiple Vector Seeds for Protein Alignment.

Daniel G. Brown

Proceedings of the Algorithms in Bioinformatics, 4th International Workshop, 2004

The Most Probable Labeling Problem in HMMs and Its Application to Bioinformatics.

Brona Brejová, Daniel G. Brown, Tomás Vinar

Proceedings of the Algorithms in Bioinformatics, 4th International Workshop, 2004

Optimizing Multiple Spaced Seeds for Homology Search.

Jinbo Xu, Daniel G. Brown, Ming Li, Bin Ma

Proceedings of the Combinatorial Pattern Matching, 15th Annual Symposium, 2004

2003

Optimal DNA Signal Recognition Models with a Fixed Amount of Intrasignal Dependency.

Brona Brejová, Daniel G. Brown, Tomás Vinar

Proceedings of the Algorithms in Bioinformatics, Third International Workshop, 2003

Vector Seeds: An Extension to Spaced Seeds Allows Substantial Improvements in Sensitivity and Specifity.

Brona Brejová, Daniel G. Brown, Tomás Vinar

Proceedings of the Algorithms in Bioinformatics, Third International Workshop, 2003

Optimal Spaced Seeds for Hidden Markov Models, with Application to Homologous Coding Regions.

Brona Brejová, Daniel G. Brown, Tomás Vinar

Proceedings of the Combinatorial Pattern Matching, 14th Annual Symposium, 2003

2001

A probabilistic analysis of a greedy algorithm arising from computational biology.

Daniel G. Brown

Proceedings of the Twelfth Annual Symposium on Discrete Algorithms, 2001

2000

Algorithmic Methods in Genetic Mapping.

Daniel G. Brown

PhD thesis, 2000

Selective mapping: a discrete optimization approach to selecting a population subset for use in a high-density genetic mapping project.

Daniel G. Brown, Todd J. Vision, Steven D. Tanksley

Proceedings of the Eleventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2000