Juan E. Gilbert’s research while affiliated with University of Florida and other places

... Second, Smarr & Gilbert[60] conducted a systematic literature review examining diversity initiatives geared towards Black students in undergraduate computing contexts, with a particular emphasis on the theoretical frameworks used (or not) to inform these initiatives. In line with the present study, Smarr & Gilbert specifically included studies focused on Black students in undergraduate computing, and excluded those concerned with STEM education in general. ...

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Bolstering the Persistence of Black Students in Undergraduate Computer Science Programs: A Systematic Mapping Study

... Plenty of studies have addressed the existence of unfairness across multiple imaging modalities (MRI 3,4 , X-ray 2,5,6 ) and body parts (brain [7][8][9] , chest 10 , heart 3,4 , skin 11,12 ), and different sensitive attributes (sex 9,13 , age 14,15 , race 16,17 , skin tone 18,19 ). Besides, this issue is also found in other healthcare applications where the inputs to the system are electronic medical records 20,21 or RNA sequences 22 . ...

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Addressing fairness issues in deep learning-based medical image analysis: a systematic review

... These models compete against each other, with the adversarial model challenging the classifier to improve its fairness, resulting in enhanced overall performance (e.g., [41,92,119]). Additionally, others leveraged unlabeled data to learn fair representations, combining techniques like resampling and reweighting (e.g., [15,58,60,89,91]). ...

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A Systematic Review on Human Roles, Solutions, and Methodological Approaches Towards Trustworthy AI

... There are several critical frameworks used to define and understand disability, including autism (Lawson and Beckett, 2021). While these frameworks are ever-evolving, the medical model framework which defines disability as a "disease" is one of the most commonly applied in computer science research when discussing disability in general and autism specifically (Rizvi et al., 2024;Spiel et al., 2019a;Sideraki and Drigas, 2021;Anagnostopoulou et al., 2020;Parsons et al., 2020;Williams et al., 2023;Sum et al., 2022). This framework defines autism as a deficit of skills such as the Theory of Mind, and its applications in technology research largely focus on providing diagnosis and treatment to autistic people (Baron-Cohen, 1997;Begum et al., 2016;Rizvi et al., 2024;Spiel et al., 2019b). ...

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AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context

... A list of Black and Latinx computing doctorate recipients (n = 144) were obtained using prior research on Black faculty in CS research departments [45] and information from the Hispanics in Computing website [46]. Individuals from [45], [46] were solely identified as Black or Latinx computing scholars, so this research retained those labels in the analyses that follow and cannot ascertain if there were any Afro-Latinos in the sample. ...

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Race and Collaboration in Computer Science: A Network Science Approach

... To attain this objective, several BCI applications have been presented in the literature. including character spelling [4,5], word typing [6], controlling a wheelchair [7,8], controlling a robotic/prosthetic limb [9], virtual reality control [10,11], neurorehabilitation [12], controlling a car [13], web browser control [14], Unmanned Aerial Vehicle (UAV) control [15,16], and games [17][18][19]. All these BCIs take commands from the brain and transform them to control signals for the desired application. ...

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A Symbols Based BCI Paradigm for Intelligent Home Control Using P300 Event-Related Potentials

... In this context, even autonomous vehicles (AVs) might improve rural accessibility in the following decades (e.g. Bernhart et al., 2018;Dianin et al., 2021;Imhof et al., 2020;Prioleau et al., 2021). For instance, standard public transport (PT) could profit from driver cost savings and become more frequent and widespread (Mouratidis and Cobeña Serrano, 2021), while on-demand services like shared taxis could become the standard for the most remote and dispersed settlements (von Mörner, 2019). ...

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Individual accessibility impacts of public transport automation on (groups of) rural dwellers

... In case the sentiment and emotion analysis relies upon training data, the data might originate from other domains, may include biases and stereotypes (66,67). Biased or unrepresentative data can lead to inaccurate sentiment analysis and inappropriate responses. ...

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The ethical aspects of integrating sentiment and emotion analysis in chatbots for depression intervention

... • Conducting multiple iterations of the process to achieve saturation (Dinh et al., 2023;Faber et al., 2022;Hegde et al., 2023;Hirzle et al., 2023;Impedovo et al., 2013;Turakhia et al., 2023) • Utilising multiple persons in the process of developing and/or evaluating codes (Çolakoglu et al., 2023;Dinh et al., 2023;Faber et al., 2022;Hegde et al., 2023;Hirzle et al., 2023;Impedovo et al., 2013;Rajaram et al., 2023;Turakhia et al., 2023) A review of 76 papers published between 2019 and 2023 identified in a PRISMA study on XR development strategies and policies did not reveal any codes for developing an XR project. Within these data, the researchers developed codes for the recordings of participants' responses (Williams, 2020), literature on AR use cases, benefits, or obstacles (Nassereddine, 2019), and interview transcripts (Karre et al., 2019). This finding does not prove the nonexistence of specific codes for an XR development strategy given the scope of the PRISMA study. ...

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An Explanation of the Codebook for Analysing Extended Reality Development

... RTM differs from place-based forecasting in that it can identify the environmental risk factors associated with a type of crime and assess their spatial influence on an area's vulnerability to experiencing that type of crime in the future (Davis et al. 2022). Additionally, RTM does not require the inclusion of prior criminal incidents to identify areas spatially vulnerable to crime, which may temper the concern that police officer bias drives crime forecasts. ...

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“Somebody’s Watching Me”: Surveying Police Surveillance of Gangs