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Dissertations / Theses on the topic 'Mitigation des biais'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

Le, Berre Guillaume. "Vers la mitigation des biais en traitement neuronal des langues." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0074.

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Il est de notoriété que les modèles d'apprentissage profond sont sensibles aux biais qui peuvent être présents dans les données utilisées pour l'apprentissage. Ces biais qui peuvent être définis comme de l'information inutile ou préjudiciable pour la tâche considérée, peuvent être de différentes natures: on peut par exemple trouver des biais dans les styles d'écriture utilisés, mais aussi des biais bien plus problématiques portant sur le sexe ou l'origine ethnique des individus. Ces biais peuvent provenir de différentes sources, comme des annotateurs ayant créé les bases de données, ou bien du

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2

Gadala, M. "Automation bias : exploring causal mechanisms and potential mitigation strategies." Thesis, City, University of London, 2017. http://openaccess.city.ac.uk/17889/.

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Automated decision support tools are designed to aid users and improve their performance in certain tasks by providing advice in the form of prompts, alarms, assessments, or recommendations. However, recent evidence suggests that sometimes use of such tools introduces decision errors that are not made without the tool. We refer to this phenomenon as “automation bias” (AB), resulting in a broader definition of this term than used by many authors. Sometimes, such automation-induced errors can even result in overall performance (in terms of correct decisions) which is actually worse with the tool

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3

Fyrvald, Johanna. "Mitigating algorithmic bias in Artificial Intelligence systems." Thesis, Uppsala universitet, Matematiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388627.

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Artificial Intelligence (AI) systems are increasingly used in society to make decisions that can have direct implications on human lives; credit risk assessments, employment decisions and criminal suspects predictions. As public attention has been drawn towards examples of discriminating and biased AI systems, concerns have been raised about the fairness of these systems. Face recognition systems, in particular, are often trained on non-diverse data sets where certain groups often are underrepresented in the data. The focus of this thesis is to provide insights regarding different aspects that

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4

Salomon, Sophie. "Bias Mitigation Techniques and a Cost-Aware Framework for Boosted Ranking Algorithms." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1586450345426827.

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5

Frick, Eric Christopher. "Mitigation of magnetic interference and compensation of bias drift in inertial sensors." Thesis, University of Iowa, 2015. https://ir.uiowa.edu/etd/5472.

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Magnetic interference in the motion capture environment is caused primarily by ferromagnetic objects and current-carrying devices disturbing the ambient, geomagnetic field. Inertial sensors gather magnetic data to determine and stabilize their global heading estimates, and such magnetic field disturbances alter heading estimates. This decreases orientation accuracy and therefore decreases motion capture accuracy. The often used Kalman Filter approach deals with magnetic interference by ignoring the magnetic data during periods interference is encountered, but this method is only effective when

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6

Taylor, Stephen Luke. "Analyzing methods of mitigating initialization bias in transportation simulation models." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37208.

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All computer simulation models require some form of initialization before their outputs can be considered meaningful. Simulation models are typically initialized in a particular, often "empty" state and therefore must be "warmed-up" for an unknown amount of simulation time before reaching a "quasi-steady-state" representative of the systems' performance. The portion of the output series that is influenced by the arbitrary initialization is referred to as the initial transient and is a widely recognized problem in simulation analysis. Although several methods exist for removing the initial tr

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7

Sweeney, Christopher(Christopher J. ). M. Eng Massachusetts Institute of Technology. "Understanding and mitigating unintended demographic bias in machine learning systems." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123131.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 81-84).<br>Machine Learning is becoming more and more influential in our society. Algorithms that learn from data are streamlining tasks in domains like employment, banking, education, heath care, social media, etc. Unfortunat

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8

Isumbingabo, Emma Francoise. "Evaluation and mitigation of the undesired effect of DC bias on inverter power transformer." Master's thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/5202.

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Inverters have traditionally been used mostly in standalone systems (non-grid connected), Uninterruptible Power Supplies (UPS) and, more recently, in distributed generated systems (DGs). DG systems are based on grid connected inverters and are increasingly being connected to utility grids to convert renewable energy sources to the utility grids. Such sources are likely to have a significant impact in the future in meeting the electricity demands of industry and domestic consumption. Common DGs utilize DC power sources such as fuel cells, batteries, photovoltaic (solar) power, and wind power. M

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9

Ashton, Christie. "A critical review of approaches to mitigating bias in fingerprint identification." Thesis, Ashton, Christie (2018) A critical review of approaches to mitigating bias in fingerprint identification. Masters by Coursework thesis, Murdoch University, 2018. https://researchrepository.murdoch.edu.au/id/eprint/41502/.

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Fingerprint identification is a discipline used within forensic science which assists in criminal investigations1, 2. The process of fingerprint identification involves the comparison of crime scene evidence with known exemplars. This form of examination is heavily reliant on human examiners and their conclusions as to whether there is an identification, exclusion or insufficient information to identify3. This form of forensic identification has become a focus due to concern of the effects of cognitive bias on examiners conclusions. Concerns have prompted research into the area of approaches t

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10

Lowery, Meghan Rachelle. "MITIGATING SEX BIAS IN COMPENSATION DECISIONS: THE ROLE OF COMPARATIVE DATA." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/dissertations/231.

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Gender differences in salaries are prominent in most fields. Several laws exist to decrease the amount of pay discrimination and provide remedies for discriminatory organizational behaviors, yet these laws have proven insufficient to eradicate pay inequities. One source for such discrimination in pay stems from the evaluation of employee performance. Performance appraisal systems can be biased in very small ways that yield larger negative effects on later employment-related decisions, such as compensation. The goal of this study was to examine decision-making processes and conclusions raters m

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11

Hube, Christoph [Verfasser]. "Methods for detecting and mitigating linguistic bias in text corpora / Christoph Hube." Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2020. http://d-nb.info/1212582438/34.

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12

Wu, Lin. "Contribution to spatial bias mitigation in interferometric radiometers devoted to Earth observation : application to the SMOS mission." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/144655.

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This work has been undertaken within the frame of the FPI scholarship BES-2009-028505 of 30/07/2009, by the "Secretario de Estado de Investigación del Ministerio de Ciencia e Innovación", related to the project TEC2008-06764-C02-01 (Universitat Politècnica de Catalunya) titled "Advanced concepts on active and passive microwave remote sensing: technology and applications". In a more general scope, this thesis is related to the Remote Sensing Laboratory (Signal Theory & Communication Department, UPC) on-going activities, within the SMOS (Soil Moisture and Ocean Salinity) mission by the European

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13

Terhörst, Philipp [Verfasser], Arjan [Akademischer Betreuer] Kuijper, Dieter [Akademischer Betreuer] Fellner, and Vitomir [Akademischer Betreuer] Struc. "Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems / Philipp Terhörst ; Arjan Kuijper, Dieter Fellner, Vitomir Struc." Darmstadt : Universitäts- und Landesbibliothek, 2021. http://d-nb.info/1233785060/34.

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14

Bohrer, Shawn A. "Military-media relationships : identifying and mitigating military-media biases to improve future military operations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FBohrer.pdf.

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Thesis (M.S. in Information Systems and Operations)--Naval Postgraduate School, March 2003.<br>Thesis advisor(s): Steven J. Iatrou, Karen Guttieri. Includes bibliographical references (p. 67-68). Also available online.

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15

Dougherty, John Paul. "Three Essays on the Economic Sustainability of Drought Insurance and Soil Investment for Smallholder Farmers in the Developing World." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531672015876609.

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16

"Discovering and Mitigating Social Data Bias." Doctoral diss., 2017. http://hdl.handle.net/2286/R.I.45009.

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abstract: Exabytes of data are created online every day. This deluge of data is no more apparent than it is on social media. Naturally, finding ways to leverage this unprecedented source of human information is an active area of research. Social media platforms have become laboratories for conducting experiments about people at scales thought unimaginable only a few years ago. Researchers and practitioners use social media to extract actionable patterns such as where aid should be distributed in a crisis. However, the validity of these patterns relies on having a representative dataset. As th

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17

LIAO, CHENG-YI, and 廖崢圯. "Cheap Talk on Mitigating Hypothetical Bias in Contingent Valuation." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ssqrfb.

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碩士<br>國立臺北大學<br>自然資源與環境管理研究所<br>107<br>When applying the contingent value method (CVM) to value non-marketed goods (such as wetlands), researchers often face the problem of hypothetical bias (HB) in that respondents’ answered willingness to pay (WTP) is often different from their real WTP. The methods to eliminate HB are divided into ex post calibration and ex ante reminder. The former compare the real market data and questionnaire data to adjust the WTP after the survey undertaken; the latter is to provide some information in questionnaire before inquiring respondents, so that respondents can

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18

Chia, I.-Hsiang, and 賈逸翔. "The Mitigation of Confirmation Bias in Health Information processing: a Comparison between Popular and Expert Opinions." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/q7gc45.

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碩士<br>國立臺灣大學<br>圖書資訊學研究所<br>105<br>Confirmation bias, the preferential seeking of confirmatory information, can become an obstacle for the disseminate of valid health information online and lead to biased decision. Following previous findings, preference-inconsistent recommendation can be used to overcome this bias. We conducted an experiment to study the impact of expert system and popularity system on mitigating confirmation bias, the confirmation bias was measured in the selection phase, the evaluation phase and the final decision phases. 78 participants aged 40-70 were recruited. Participa

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19

Terhörst, Philipp. "Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems." Phd thesis, 2021. https://tuprints.ulb.tu-darmstadt.de/18515/7/Dissertation_Terhoerst_final.pdf.

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Biometric verification refers to the automatic verification of a person’s identity based on their behavioural and biological characteristics. Among various biometric modalities, the face is one of the most widely used since it is easily acquirable in unconstrained environments and provides a strong uniqueness. In recent years, face recognition systems spread world-wide and are increasingly involved in critical decision-making processes such as finance, public security, and forensics. The growing effect of these systems on everybody’s daily life is driven by the strong enhancements in their rec

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20

McCarthy, SL. "Attention bias in social anxiety : are there mitigating effects of self-affirmation?" Thesis, 2014. https://eprints.utas.edu.au/28097/1/McCarthy_whole_thesis.pdf.

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A number of studies have indicated that Self-Affirmation (SA) manipulation plays a role in decreasing an attention bias toward threatening information, especially when there is a threat to the self. Despite this, to date no studies have investigated if SA can mitigate the attention bias toward socially threatening stimuli that is exhibited in individuals high in social anxiety. The aim of the current study is to explore the possible moderating effects of SA manipulation on the attention bias in individuals with high social anxiety. 150 participants completed the study, 8 of which were excluded

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21

Hallihan, Gregory M. "Mitigating Cognitive and Neural Biases in Conceptual Design." Thesis, 2012. http://hdl.handle.net/1807/33234.

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Conceptual design is a series of complex cognitive processing tasks and research seeking to further understand design cognition will benefit by considering literature from the field of psychology. This thesis presents two research projects, which sought to understand and mitigate design biases in conceptual design through the application of theories from biological and cognitive psychology. The first of these puts forward a novel model of design creativity based on connectionist theory and a neurological phenomenon known as long-term potentiation. This model is applied to provide new insights

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