Searched for: +
(1 - 19 of 19)
document
Hutiri, Wiebke (author)
From smart phones to speakers and watches, Edge Al is deployed on billions of devices to process large volumes of personal data efficiently, privately and in real-time. While Edge Al applications are promising, many recent incidents of bias in Al systems caution that Edge Al too, may systematically discriminate against groups of people based on...
doctoral thesis 2023
document
Feng, S. (author), Halpern, B.M. (author), Kudina, O. (author), Scharenborg, O.E. (author)
Practice and recent evidence show that state-of-the-art (SotA) automatic speech recognition (ASR) systems do not perform equally well for all speaker groups. Many factors can cause this bias against different speaker groups. This paper, for the first time, systematically quantifies and finds speech recognition bias against gender, age, regional...
journal article 2023
document
Draws, T.A. (author), Roy, N. (author), Inel, Oana (author), Rieger, A. (author), Hada, Rishav (author), Yalcin, Mehmet Orcun (author), Timmermans, Benjamin (author), Tintarev, N. (author)
Adverse phenomena such as the search engine manipulation effect (SEME), where web search users change their attitude on a topic following whatever most highly-ranked search results promote, represent crucial challenges for research and industry. However, the current lack of automatic methods to comprehensively measure or increase viewpoint...
conference paper 2023
document
Hutiri, Wiebke (author), Ding, Aaron Yi (author), Kawsar, Fahim (author), Mathur, Akhil (author)
Billions of distributed, heterogeneous, and resource constrained IoT devices deploy on-device machine learning (ML) for private, fast, and offline inference on personal data. On-device ML is highly context dependent and sensitive to user, usage, hardware, and environment attributes. This sensitivity and the propensity toward bias in ML makes...
journal article 2023
document
Masoumian, S. (author), Maes, Roel (author), Wang, Rui (author), Yerriswamy, Karthik Keni (author), Schrijen, Geert-Jan (author), Hamdioui, S. (author), Taouil, M. (author)
SRAM Physical Unclonable Functions (PUFs) are one of the popular forms of PUFs that can be used to generate unique identifiers and randomness for security purposes. Hence, their resilience to attacks is crucial. The probability of attacks increases when the SRAM PUF start-up values follow a predictable pattern which we refer to as bias. In this...
conference paper 2023
document
de Boer, Maaike H.T. (author), Vethman, Steven (author), Bakker, R.M.B. (author), Adhikari, Ajaya (author), Marcus, Michiel (author), de Greeff, Joachim (author), van der Waa, J.S. (author), van Zoelen, E.M. (author), Kamphorst, Bart (author)
The goal of the FATE system is decision support with use of state-of-the-art human-AI co-learning, explainable AI and fair, secure and privacy-preserving usage of data. This AI-based support system is a general system, in which the modules can be tuned to specific use cases. The FATE system is designed to address different user roles, such as...
journal article 2022
document
Draws, T.A. (author), La Barbera, David (author), Soprano, Michael (author), Roitero, Kevin (author), Ceolin, Davide (author), Checco, Alessandro (author), Mizzaro, Stefano (author)
Due to the increasing amount of information shared online every day, the need for sound and reliable ways of distinguishing between trustworthy and non-trustworthy information is as present as ever. One technique for performing fact-checking at scale is to employ human intelligence in the form of crowd workers. Although earlier work has...
conference paper 2022
document
Balayn, A.M.A. (author), Yang, J. (author), Szlávik, Zoltán (author), Bozzon, A. (author)
The automatic detection of conflictual languages (harmful, aggressive, abusive, and offensive languages) is essential to provide a healthy conversation environment on the Web. To design and develop detection systems that are capable of achieving satisfactory performance, a thorough understanding of the nature and properties of the targeted type...
journal article 2021
document
Vilasboas-Ribeiro, Iva (author), Curto, Sergio (author), van Rhoon, G.C. (author), Franckena, Martine (author), Paulides, Margarethus M. (author)
The efficacy of a hyperthermia treatment depends on the delivery of well-controlled heating; hence, accurate temperature monitoring is essential for ensuring effective treatment. For deep pelvic hyperthermia, there are no comprehensive and systematic reports on MR thermometry. Moreover, data inclusion generally lacks objective selection...
journal article 2021
document
de Winter, J.C.F. (author), Dodou, D. (author)
This article highlights four common pitfalls in the use of statistics in the area of traffic psychology. Through computer simulations of scenarios that are typical in the field, it is first shown that a statistically significant P-value does not prove that the effect is true, especially when the effect is surprising and the P-value barely...
book chapter 2021
document
Price, R.A. (author), Lloyd, P.A. (author)
The formulation of questions in processes of design is an activity affected by cognitive biases inherent to humans. Cognitive biases, developed through gaining experience, influence how decisions are made during problem solving. When an outcome is predictable, experience provides mental shortcuts or heuristics to enable the problem solver to act...
book chapter 2021
document
Hiemstra, Annemarie M.F. (author), Cassel, Tatjana (author), Born, Marise Ph (author), Liem, C.C.S. (author)
In this article, we describe the implementation of algorithms based on machine learning for personnel selection procedures and how this data-driven approach corresponds to and differentiates from classical psychological assessment. We discuss if, and in what way, bias and discrimination occur when using algorithms based on machine learning...
journal article 2020
document
Mastrantonas, Nikolaos (author), Bhattacharya, Biswa (author), Shibuo, Yoshihiro (author), Rasmy, Mohamed (author), Espinoza-Dávalos, Gonzalo (author), Solomatine, D.P. (author)
After the launch of the Global Precipitation Measurement (GPM) mission in 2014, many satellite precipitation products (SPPs) are available at finer spatiotemporal resolution and/or with reduced latency, potentially increasing the applicability of SPPs for near-real-time (NRT) applications. Therefore, there is a need to evaluate the NRT SPPs...
journal article 2019
document
Visser, P.N.A.M. (author)
A method for validating the calibration parameters of the six accelerometers on board the Gravity field and steady-state Ocean Circulation Explorer (GOCE) from star tracker observations that was originally tested by an end-to-end simulation, has been updated and applied to real data from GOCE. It is shown that the method provides estimates of...
journal article 2017
document
Teunissen, P.J.G. (author)
The DIA method for the detection, identification and adaptation of model misspecifications combines estimation with testing. The aim of the present contribution is to introduce a unifying framework for the rigorous capture of this combination. By using a canonical model formulation and a partitioning of misclosure space, we show that the...
journal article 2017
document
Teunissen, P.J.G. (author), Imparato, D. (author), Tiberius, C.C.J.M. (author)
As the navigation solution of exclusion-based RAIM follows from a combination of least-squares estimation and a statistically based exclusion-process, the computation of the integrity of the navigation solution has to take the propagated uncertainty of the combined estimation-testing procedure into account. In this contribution, we analyse,...
journal article 2017
document
Seeber, Marco (author), Bacchelli, A. (author)
Several fields of research are characterized by the coexistence of two different peer review modes to select quality contributions for scientific venues, namely double blind (DBR) and single blind (SBR) peer review. In the first, the identities of both authors and reviewers are not known to each other, whereas in the latter the authors’...
journal article 2017
document
Visser, P.N.A.M. (author)
A method has been implemented and tested for estimating bias and scale factor parameters for all six individual accelerometers that will fly on-board of GOCE and together form the so-called gradiometer. The method is based on inclusion of the individual accelerometer observations in precise orbit determinations, opposed to the baseline method...
journal article 2008
document
Visser, P.N.A.M. (author)
A method has been developed and tested for estimating calibration parameters for the six accelerometers on board the Gravity field and steady-state Ocean Circulation Explorer (GOCE) from star tracker observations. These six accelerometers are part of the gradiometer, which is the prime instrument on board GOCE. It will be shown that by taking...
journal article 2008
Searched for: +
(1 - 19 of 19)