Emerging roles of inflammation-mediated endothelial–mesenchymal transition in health and disease
Y Yoshimatsu, T Watabe - Inflammation and Regeneration, 2022 - Springer
Abstract Endothelial–mesenchymal transition (EndoMT), a cellular differentiation process in
which endothelial cells (ECs) lose their properties and differentiate into mesenchymal cells …
which endothelial cells (ECs) lose their properties and differentiate into mesenchymal cells …
[PDF][PDF] An Efficient State-Space Model for Joint Tempo and Meter Tracking.
ABSTRACT Dynamic Bayesian networks (eg, Hidden Markov Models) are popular
frameworks for meter tracking in music because they are able to incorporate prior …
frameworks for meter tracking in music because they are able to incorporate prior …
Corpus COFLA: A research corpus for the computational study of flamenco music
N Kroher, JM Díaz-Báñez, J Mora… - Journal on Computing and …, 2016 - dl.acm.org
Flamenco is a music tradition from Southern Spain that attracts a growing community of
enthusiasts around the world. Its unique melodic and rhythmic elements, the typically …
enthusiasts around the world. Its unique melodic and rhythmic elements, the typically …
Computational similarity of Portuguese folk melodies using hierarchical reduction
N Carvalho, D Diogo, G Bernardes - Proceedings of the 10th …, 2023 - dl.acm.org
We propose a method for computing the similarity of symbolically-encoded Portuguese folk
melodies. The main novelty of our method is the use of a preprocessing melodic reduction at …
melodies. The main novelty of our method is the use of a preprocessing melodic reduction at …
Getting Closer to the Essence of Music: The Con Espressione Manifesto
G Widmer - ACM Transactions on Intelligent Systems and …, 2016 - dl.acm.org
This text offers a personal and very subjective view on the current situation of Music
Information Research (MIR). Motivated by the desire to build systems with a somewhat …
Information Research (MIR). Motivated by the desire to build systems with a somewhat …
Measuring when a music generation algorithm copies too much: The originality report, cardinality score, and symbolic fingerprinting by geometric hashing
Research on automatic music generation lacks consideration of the originality of musical
outputs, creating risks of plagiarism and/or copyright infringement. We present the originality …
outputs, creating risks of plagiarism and/or copyright infringement. We present the originality …
[PDF][PDF] Transcribing Human Piano Performances into Music Notation.
Automatic music transcription aims to transcribe musical performances into music notation.
However, existing transcription systems that have been described in research papers …
However, existing transcription systems that have been described in research papers …
[PDF][PDF] Identifying polyphonic patterns from audio recordings using music segmentation techniques
O Nieto, MM Farbood - Proc. of the 15th International Society for …, 2014 - ccrma.stanford.edu
This paper presents a method for discovering patterns of note collections that repeatedly
occur in a piece of music. We assume occurrences of these patterns must appear at least …
occur in a piece of music. We assume occurrences of these patterns must appear at least …
Key-finding based on a hidden Markov model and key profiles
Musicologists and musicians often would like to search by keys in a digital music library. In
this paper, we introduce a new key-finding algorithm that can be applied to music in both …
this paper, we introduce a new key-finding algorithm that can be applied to music in both …
“A Good Algorithm Does Not Steal–It Imitates”: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much
Research on automatic music generation lacks consideration of the originality of musical
outputs, creating risks of plagiarism and/or copyright infringement. We present the originality …
outputs, creating risks of plagiarism and/or copyright infringement. We present the originality …