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Fair Performance Metric Elicitation [article]

Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo
2020 arXiv   pre-print
The use of metric elicitation enables a practitioner to tune the performance and fairness metrics to the task, context, and population at hand.  ...  We consider the choice of fairness metrics through the lens of metric elicitation -- a principled framework for selecting performance metrics that best reflect implicit preferences.  ...  Linear Performance Metric Elicitation -Warmup We revisit the Linear Performance Metric Elicitation (LPME) procedure from [21] , which we will use as as a subroutine to elicit fair performance metrics.  ... 
arXiv:2006.12732v3 fatcat:74dfxqqdn5butnw3nbxx3iyzca

Quadratic Metric Elicitation for Fairness and Beyond [article]

Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
2021 arXiv   pre-print
Metric elicitation is a recent framework for eliciting performance metrics that best reflect implicit user preferences based on the application and context.  ...  We further extend this strategy to eliciting polynomial metrics -- thus broadening the use cases for metric elicitation.  ...  Quadratic Metric Elicitation We now present our procedure for Quadratic Performance Metric Elicitation (QPME).  ... 
arXiv:2011.01516v2 fatcat:ew2rk6u4jzbhzcwxr6sj2677ma

Tagging the Neuronal Entrainment to Beat and Meter

S. Nozaradan, I. Peretz, M. Missal, A. Mouraux
2011 Journal of Neuroscience  
Most importantly, we found that meter imagery elicits an additional frequency tuned to the corresponding metric interpretation of this beat.  ...  We found that the beat elicits a sustained periodic EEG response tuned to the beat frequency.  ...  During the second condition, participants performed the binary meter imagery task. They were asked to imagine a binary metric structure onto the perceived beat ( f/2 ϭ 1.2 Hz).  ... 
doi:10.1523/jneurosci.0411-11.2011 pmid:21753000 pmcid:PMC6623069 fatcat:agsyi4gz3raabeaubp436xyziy

Gesture Agreement Assessment Using Description Vectors [article]

Naveen Madapana, Glebys Gonzalez, Juan Wachs
2019 arXiv   pre-print
In addition, we performed computational experiments to study the behavior of our partial agreement formula and mathematically show that existing agreement metrics are a special case of our approach.  ...  In this work, we represent the gestures using binary description vectors to allow them to be partially similar.  ...  This involved forming binary gesture description vectors of dimension d = 55 for each of the gesture proposals elicited by the S subjects.  ... 
arXiv:1910.10140v1 fatcat:vldzzicjdnfmfegdcxth6yy62m

Performance Metric Elicitation from Pairwise Classifier Comparisons [article]

Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo
2019 arXiv   pre-print
Given a binary prediction problem, which performance metric should the classifier optimize? We address this question by formalizing the problem of Metric Elicitation.  ...  In particular, we focus on eliciting binary classification performance metrics from pairwise feedback, where a practitioner is queried to provide relative preference between two classifiers.  ...  introduce a framework, metric elicitation (ME), for determining the binary classification performance metric from user feedback.  ... 
arXiv:1806.01827v2 fatcat:d2jguj5qhndrjkmjinge2vnnuq

Body Movement Selectively Shapes the Neural Representation of Musical Rhythms

Baptiste Chemin, André Mouraux, Sylvie Nozaradan
2014 Psychological Science  
In contrast, these SSEPs were not enhanced after body-movement training using a binary-metric interpretation.  ...  Finally, the relative discomfort reported by participants when performing the binary-movement training could have contributed to the difference between the effects of binary-and ternarymovement priming  ...  Testing and data collection were performed by B. Chemin and S. Nozaradan. B. Chemin and S. Nozaradan analyzed the data. All authors interpreted the results and wrote the manuscript.  ... 
doi:10.1177/0956797614551161 pmid:25344346 fatcat:m5yxhry2bvcrvgbr6avt5sr7n4

Challenges and lessons for measuring soil metrics in household surveys

Frédéric Kosmowski, Ayale Abebe, Daglar Ozkan
2020 Geoderma  
With the exception of soil particle sizes, we find that soil parameters captured through farmer's elicitation do not converge with objective metrics.  ...  Here, we firstly explore soil data requirements for a set of objectives that include identifying a soil constraint, improving recommendation domain studies and capturing soil metrics as covariates, or  ...  These different objectives call for different metrics and precision levels. When identifying a soil constraint (a), the relevant metric is a binary variable (ex: acidic soil vs non acidic soil).  ... 
doi:10.1016/j.geoderma.2020.114500 pmid:33012838 pmcid:PMC7386900 fatcat:wb2q6jxmunb4fita7cl4dnmh64

Partial Multi-Label Learning via Credible Label Elicitation

Jun-Peng Fang, Min-Ling Zhang
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Extensive experiments on synthetic as well as real-world data sets clearly validate the effectiveness of credible label elicitation in learning from PML examples.  ...  In light of this major difficulty, a novel two-stage PML approach is proposed which works by eliciting credible labels from the candidate label set for model induction.  ...  On each data set, five-fold cross-validation is performed where the mean metric value as well as standard deviation are recorded for each comparing approach.  ... 
doi:10.1609/aaai.v33i01.33013518 fatcat:edp3usvzmbagfl6te2b2pgkzuq

Methodologies for developing knowledge management systems: an evaluation framework

Razieh Dehghani, Raman Ramsin
2015 Journal of Knowledge Management  
Design/methodology/approach -The evaluation criteria have been elicited based on the features expected from a successful KMS.  ...  evaluation criteria on KM performance metrics.  ...  Resulting in KMS development methodologies which improve KM performance: As satisfying the elicited criteria (constituents of the proposed framework) has a positive effect on KM performance metrics, the  ... 
doi:10.1108/jkm-10-2014-0438 fatcat:i5zd26spb5a4pppeyp4aaefdtq

Rating Elicitation Strategies for Collaborative Filtering [chapter]

Mehdi Elahi, Valdemaras Repsys, Francesco Ricci
2011 Lecture Notes in Business Information Processing  
strategy that can achieve an excellent overall performance.  ...  In general, the more ratings are elicited from the users, the more effective the recommendations are.  ...  We have also proposed a voting strategy combining six different strategies which shows very good performances for several evaluation metrics (MAE, NDCG, precision, coverage).  ... 
doi:10.1007/978-3-642-23014-1_14 fatcat:fzqzdxvyabhozlcoy5m3cwvm2e

The "Ticktock" of Our Internal Clock

Renaud Brochard, Donna Abecasis, Doug Potter, Richard Ragot, Carolyn Drake
2003 Psychological Science  
Significant differences in a late parietal (P3-like) ERP component were found between the responses elicited on odd-numbered versus evennumbered positions, suggesting that a default binary metric structure  ...  In the second (control) analysis, performed on averaged consecutive positions, no such significant differences were found, suggesting that the differences found in the first analysis were due to a metrical  ...  The sequences had a variable number of events so as not to favor any particular (binary or ternary) metrical pattern. The interonset interval (IOI) within each sequence was 600 ms.  ... 
doi:10.1111/1467-9280.24441 pmid:12807411 fatcat:dgxr63qlj5gfjcotyveqajir2a

Gamma-band activity reflects the metric structure of rhythmic tone sequences

Joel S. Snyder, Edward W. Large
2005 Cognitive Brain Research  
The binary control condition consisted of alternating loud and soft tones, designed to elicit a duple meter perception (B).  ...  A recent study used an oddball paradigm to show that metrically strong beats in a sequence elicit a larger late response (~500 ms) possibly reflecting greater post-stimulus attention allocation [3] .  ... 
doi:10.1016/j.cogbrainres.2004.12.014 pmid:15922164 fatcat:iujk54f4pvgjhlmn2wl7ycrxhm

A machine learning approach to predict emotional arousal and valence from gaze extracted features

Vasileios Skaramagkas, Emmanouil Ktistakis, Dimitris Manousos, Nikolaos S. Tachos, Eleni Kazantzaki, Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis
2021 Zenodo  
For this reason, we performed an experimental study where the participants watched emotion-eliciting videos and self-assessed their emotions, while their eye movements were being recorded.  ...  However, eye related features have proven to be very helpful and easy to use metrics, especially pupil size and blink activity.  ...  ., high arousal) elicited by a stimulus [3] . Physiological signals combined with eye-related metrics are the most commonly used modality in order to estimate one's emotional state [4] .  ... 
doi:10.5281/zenodo.5705039 fatcat:bypkby6fb5cjxjw6asoyomwm7u

Fear Recognition for Women Using a Reduced Set of Physiological Signals

Jose A. Miranda, Manuel F. Canabal, Laura Gutiérrez-Martín, Jose M. Lanza-Gutierrez, Marta Portela-García, Celia López-Ongil
2021 Sensors  
As expected, these systems should be trained and customized for each user to ensure the best possible performance, which undoubtedly requires a gender perspective.  ...  Moreover, a binary fear mapping strategy between dimensional and discrete emotional information based on emotional self-report data is implemented to avoid emotional bias.  ...  This makes the selection of general stimuli which elicit fear difficult. The asymmetry observed also affected the performance metrics to be considered.  ... 
doi:10.3390/s21051587 pmid:33668745 pmcid:PMC7956215 fatcat:hykmabkepjegni6dg2fxvvxyk4

Neural Entrainment to Auditory Imagery of Rhythms

Haruki Okawa, Kaori Suefusa, Toshihisa Tanaka
2017 Frontiers in Human Neuroscience  
It has been reported that a periodic electroencephalogram (EEG) response is elicited while a human imagines a binary or ternary meter on a musical beat.  ...  These results suggest that auditory imagery of meter elicits a periodic EEG response that changes at the imagined beat and meter frequency even in the fully imagined conditions.  ...  Moreover, the amplitude at 1.6 Hz elicited by the ternary meter imagery was significantly greater than that elicited by the binary meter imagery ( Table 2) .  ... 
doi:10.3389/fnhum.2017.00493 pmid:29081742 pmcid:PMC5645537 fatcat:3lin4ykkv5bwdpb3i4gjea5rwq
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