Search Results - "Flexer, Arthur"

DeepNOG: fast and accurate protein orthologous group assignment by Feldbauer, Roman, Gosch, Lukas, Lüftinger, Lukas, Hyden, Patrick, Flexer, Arthur, Rattei, Thomas

“…Abstract Motivation Protein orthologous group databases are powerful tools for evolutionary analysis, functional annotation or metabolic pathway modeling…”
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Mutual proximity graphs for improved reachability in music recommendation by Flexer, Arthur, Stevens, Jeff

“…This paper is concerned with the impact of hubness, a general problem of machine learning in high-dimensional spaces, on a real-world music recommendation…”
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On End-to-End White-Box Adversarial Attacks in Music Information Retrieval by Prinz, Katharina, Flexer, Arthur, Widmer, Gerhard

“…Small adversarial perturbations of input data can drastically change the performance of machine learning systems, thereby challenging their validity. We…”
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On Evaluation of Inter- and Intra-Rater Agreement in Music Recommendation by Flexer, Arthur, Lallai, Taric, Rašl, Katja

“…Our work is concerned with the subjective perception of music similarity in the context of music recommendation. We present two user studies to explore inter-…”
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A fast audio similarity retrieval method for millions of music tracks by Schnitzer, Dominik, Flexer, Arthur, Widmer, Gerhard

“…We present a filter-and-refine method to speed up nearest neighbor searches with the Kullback–Leibler divergence for multivariate Gaussians. This combination…”
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Effects of Album and Artist Filters in Audio Similarity Computed for Very Large Music Databases by Flexer, Arthur, Schnitzer, Dominik

“…In music information retrieval, one of the central goals is to automatically recommend music to users based on a query song or query artist. In this study, a…”
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A comprehensive empirical comparison of hubness reduction in high-dimensional spaces by Feldbauer, Roman, Flexer, Arthur

“…Hubness is an aspect of the curse of dimensionality related to the distance concentration effect. Hubs occur in high-dimensional data spaces as objects that…”
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The Problem of Limited Inter-rater Agreement in Modelling Music Similarity by Flexer, Arthur, Grill, Thomas

“…One of the central goals of Music Information Retrieval (MIR) is the quantification of similarity between or within pieces of music. These quantitative…”
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Choosing ℓp norms in high-dimensional spaces based on hub analysis by Flexer, Arthur, Schnitzer, Dominik

“…The hubness phenomenon is a recently discovered aspect of the curse of dimensionality. Hub objects have a small distance to an exceptionally large number of…”
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Choosing ℓ p norms in high-dimensional spaces based on hub analysis by Flexer, Arthur, Schnitzer, Dominik

“…The hubness phenomenon is a recently discovered aspect of the curse of dimensionality. Hub objects have a small distance to an exceptionally large number of…”
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The neglected user in music information retrieval research by Schedl, Markus, Flexer, Arthur, Urbano, Julián

“…Personalization and context-awareness are highly important topics in research on Intelligent Information Systems. In the fields of Music Information Retrieval…”
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Constructing adversarial examples to investigate the plausibility of explanations in deep audio and image classifiers by Hoedt, Katharina, Praher, Verena, Flexer, Arthur, Widmer, Gerhard

“…Given the rise of deep learning and its inherent black-box nature, the desire to interpret these systems and explain their behaviour became increasingly more…”
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Charting the Universe of Metal Music Lyrics and Analyzing Their Relation to Perceived Audio Hardness by Isabella Czedik-Eysenberg, Oliver Wieczorek, Arthur Flexer, Christoph Reuter

“…We analyze the relationship between the musical and the lyrical content of metal music by combining automated audio feature extraction and quantitative text…”
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Basic filters for convolutional neural networks applied to music: Training or design? by Dörfler, Monika, Grill, Thomas, Bammer, Roswitha, Flexer, Arthur

“…When convolutional neural networks are used to tackle learning problems based on music or other time series, raw one-dimensional data are commonly preprocessed…”
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scikit-hubness: Hubness Reduction and Approximate Neighbor Search by Feldbauer, Roman, Rattei, Thomas, Flexer, Arthur

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Introduction to the Special Collection “20th Anniversary of ISMIR” by Arthur Flexer, Florence Levé, Geoffroy Peeters, Julián Urbano

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Statistical evaluation of music information retrieval experiments by Flexer, Arthur

“…This work concerns the necessity of statistical evaluation of Music Information Retrieval (MIR) experiments. This necessity is motivated by applying…”
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A reliable probabilistic sleep stager based on a single EEG signal by Flexer, Arthur, Gruber, Georg, Dorffner, Georg

“…Objective: We developed a probabilistic continuous sleep stager based on Hidden Markov models using only a single EEG signal. It offers the advantage of being…”
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Effects of Album and Artist Filters in Audio Similarity Computed for Very Large Music Databases by Flexer, Arthur, Schnitzer, Dominik

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Using ICA for removal of ocular artifacts in EEG recorded from blind subjects by Flexer, Arthur, Bauer, Herbert, Pripfl, Jürgen, Dorffner, Georg

“…One of the standard applications of Independent Component Analysis (ICA) to EEG is removal of artifacts due to movements of the eye bulbs. Short blinks as well…”
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