Relevant bibliographies by topics / From experts

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Academic literature on the topic 'From experts'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "From experts"

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Reynoso, Diego. "Autoposicionamiento ideológico y distorsiones idiosincráticas en los estudios basados en juicios de expertos mexicanos." Revista Mexicana de Análisis Político y Administración Pública 8, no. 15 (2019): 5–17. http://dx.doi.org/10.15174/remap.v8i15.331.

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Aunque se critica el uso de juicios de expertos para realizar estimaciones y comparaciones, cada vez es más aceptado en la comunidad académica su utilización para estimar fenómenos que no tienen medidas objetivas. Pero la heterogeneidad de la información recuperada de los expertos podría introducir algún sesgo en las estimaciones que los académicos utilizan para hacer comparaciones y probar hipótesis. Mi propuesta es aplicar el procedimiento de escalado de Aldrich & McKelvey y la generalización de Poole & Palfrey, para mostrar la relación entre el autoposicionamiento ideológico del experto, la posición “verdadera ideológica” de los expertos y su nivel de información política. Para mostrar esto, pruebo tres hipótesis alternativas sobre “ideología e información” en una muestra de expertos subnacionales mexicanos. Los expertos subnacionales mexicanos tienen un nivel heterogéneo de información política, pero en general es alto. Sin embargo, una fracción de los expertos tiene bajos niveles de información política y se correlacionan con posiciones moderadas del espacio político. Por el contrario, los expertos extremistas muestran altos niveles de información política. Palabras clave: Juicios de expertos, Ideología, izquierda-derecha, autoposicionamiento ideológico, política subnacionalAbstractAlthough the use of expert judgment to make estimates and comparisons is criticized, it is becoming ever more widely accepted in the academic community for estimating phenomena that have no objective measures. But the heterogeneity of the information recovered from experts could introduce some bias in the estimates that scholars use to make comparisons and to test hypothesis. My proposal is to apply the Aldrich & McKelvey scaling procedure and the Poole & Palfrey generalization, to show the relationship between the ideological expert autopositioning, the “true ideological” position of the experts and their level of political information. To show this I test three alternative hypothesis on “ideology and information” in a sample of mexican subnational experts. Mexican subnational experts have heterogeneous level of political information, but in general it is high. However a fraction of experts have low levels of political information and correlate with moderate positions of the political space. In contrast, extremist experts show high levels of political information.Key Words: Experts´ Judgement, Ideology, Left-Right, Ideological self-positioning, subnational politics
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Seidel, M., C. Breslin, R. M. Christley, G. Gettinby, S. W. J. Reid, and C. W. Revie. "Comparing diagnoses from expert systems and human experts." Agricultural Systems 76, no. 2 (2003): 527–38. http://dx.doi.org/10.1016/s0308-521x(02)00035-5.

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Mata, Christian, Paul Walker, Arnau Oliver, Joan Martí, and Alain Lalande. "Usefulness of Collaborative Work in the Evaluation of Prostate Cancer from MRI." Clinics and Practice 12, no. 3 (2022): 350–62. http://dx.doi.org/10.3390/clinpract12030040.

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The aim of this study is to show the usefulness of collaborative work in the evaluation of prostate cancer from T2-weighted MRI using a dedicated software tool. The variability of annotations on images of the prostate gland (central and peripheral zones as well as tumour) by two independent experts was firstly evaluated, and secondly compared with a consensus between these two experts. Using a prostate MRI database, experts drew regions of interest (ROIs) corresponding to healthy prostate (peripheral and central zones) and cancer. One of the experts then drew the ROI with knowledge of the other expert’s ROI. The surface area of each ROI was used to measure the Hausdorff distance and the Dice coefficient was measured from the respective contours. They were evaluated between the different experiments, taking the annotations of the second expert as the reference. The results showed that the significant differences between the two experts disappeared with collaborative work. To conclude, this study shows that collaborative work with a dedicated tool allows consensus between expertise in the evaluation of prostate cancer from T2-weighted MRI.
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Wright, Nicole S., and Sudip Bhattacharjee. "Auditors' Use of Formal Advice from Internal Firm Subject Matter Experts: The Impact of Advice Quality and Advice Awareness on Auditors' Judgments." Current Issues in Auditing 14, no. 2 (2020): P31—P39. http://dx.doi.org/10.2308/ciia-2019-510.

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SUMMARY When subject matter experts are consulted during an audit, the quality of the expert's advice depends upon their ability to fully understand and incorporate client-specific facts into their advice. PCAOB inspection reports suggest that auditors are neglecting to perform the required work to assess the quality of experts' recommendations. This article summarizes a recent study by Wright and Bhattacharjee (2018) examining how receiving expert advice of different levels of quality and the timing of communication making auditors aware of the eventual use an expert, impact auditors' judgments. Auditors who were aware that an expert was going to be used put forth more effort before receiving the expert's advice, and were less in agreement with management's position, than auditors who were unaware. Upon receiving the advice, aware auditors were more discerning and accurate than unaware auditors, providing that the timing and communication of consulting decisions affect auditors' assessments of expert advice.
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Xie, Zhitian, Yinger Zhang, Chenyi Zhuang, et al. "MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 14 (2024): 16067–75. http://dx.doi.org/10.1609/aaai.v38i14.29539.

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The application of mixture-of-experts (MoE) is gaining popularity due to its ability to improve model's performance. In an MoE structure, the gate layer plays a significant role in distinguishing and routing input features to different experts. This enables each expert to specialize in processing their corresponding sub-tasks. However, the gate's routing mechanism also gives rise to "narrow vision": the individual MoE's expert fails to use more samples in learning the allocated subtask, which in turn limits the MoE to further improve its generalization ability. To effectively address this, we propose a method called Mixture-of-Distilled-Expert (MoDE), which applies moderate mutual distillation among experts to enable each expert to pick up more features learned by other experts and gain more accurate perceptions on their allocated sub-tasks. We conduct plenty experiments including tabular, NLP and CV datasets, which shows MoDE's effectiveness, universality and robustness. Furthermore, we develop a parallel study through innovatively constructing "expert probing", to experimentally prove why MoDE works: moderate distilling knowledge from other experts can improve each individual expert's test performances on their assigned tasks, leading to MoE's overall performance improvement.
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Graefe, Andreas. "Predicting elections: Experts, polls, and fundamentals." Judgment and Decision Making 13, no. 4 (2018): 334–44. http://dx.doi.org/10.1017/s1930297500009219.

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AbstractThis study analyzes the relative accuracy of experts, polls, and the so-called ‘fundamentals’ in predicting the popular vote in the four U.S. presidential elections from 2004 to 2016. Although the majority (62%) of 452 expert forecasts correctly predicted the directional error of polls, the typical expert’s vote share forecast was 7% (of the error) less accurate than a simple polling average from the same day. The results further suggest that experts follow the polls and do not sufficiently harness information incorporated in the fundamentals. Combining expert forecasts and polls with a fundamentals-based reference class forecast reduced the error of experts and polls by 24% and 19%, respectively. The findings demonstrate the benefits of combining forecasts and the effectiveness of taking the outside view for debiasing expert judgment.
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&NA;. "FROM THE EXPERTS???" Advances in Skin & Wound Care 19, no. 5 (2006): 237. http://dx.doi.org/10.1097/00129334-200606000-00004.

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&NA;. "FROM THE EXPERTS???" Advances in Skin & Wound Care 19, no. 6 (2006): 292. http://dx.doi.org/10.1097/00129334-200607000-00003.

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&NA;. "FROM THE EXPERTS." Advances in Skin & Wound Care 20, no. 1 (2007): 13–15. http://dx.doi.org/10.1097/00129334-200701000-00003.

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&NA;. "FROM THE EXPERTS." Advances in Skin & Wound Care 20, no. 3 (2007): 135–36. http://dx.doi.org/10.1097/01.asw.0000262722.10421.df.

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Dissertations / Theses on the topic "From experts"

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Wisse, Bram Willem. "On taking a moment to learn from experts." Thesis, University of Strathclyde, 2012. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=18244.

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Subject matter experts have become increasingly important as sources of valuable information in the support of decision making for the Dutch Defence. Yet, the Defence methodology toolbox is lacking a methodology for dealing with quantitative subject matter expert judgements. In this thesis we evaluate a methodology that reflects the discrete character of quantitative expert judgements and is flexible in the amount of detail that can both be specified by the experts and is needed for the decision problem at hand: the Bates linear methodology. This entails that the methodology can be applied within a relatively short time frame, leading to a short response time. The methodology evaluated in this thesis also provides a vehicle to gradually switch from expert judgement to actually observed data when this becomes available. To date little guidance is available as to how to obtain the assessments from experts necessary to poulate a Bayes linear model. In this thesis we have evaluated (a b ivariate extension of) the extended Pearson-Tukey method for the derivation of the second order moment assessment needed to quantify a Bayes linear model, by evaluating its performance for a wide variety of bivariate distributions. We found this method to perform very well when variables are not strongly skewed. By means of simulation studies we show that the Bayes linear adjustment of moments can be inaccurate for not joint Normally distributed variables. Yet, we find that the use of higher order moment information can greatly increase the accuracy. For the distributions considered in this thesis the increase is between five and eleven orders of magnitude when third and fourth ordermoment information is used as well in the adjustment. For distribution with a poor performance of the regular adjustment of moments this increase in accuracy is sustained when this higher order moment information is to be obtained from expert assessments, leading to increased accuracy between one and t wo orders of magnitude. Finally we develop a performance based method to combine sets of (product) moment assessments from different experts into one set of assessments that represents a rational consensus of the experts' assessments, so that multiple experts can be consulted for a Bayes linear study. Based on the results presented in this thesis we strongly advise to complement the Defence methodology toolbox with the Bayes linear methodology.
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David, Madden K. "From experts to social scientists : the American antrhopologists, 1929-1963." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1176220500.

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Madden, David K. "From experts to social scientists : the American anthropologists, 1929-1963 /." Connect to resource, 1998. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1176220500.

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Coderre, Sylvain Paul. "Scheme utilization by medical students and experts, from theoretical to clinical advantages." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ64947.pdf.

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Wikberg, Per. "Eliciting Knowledge from Experts in Modeling of Complex Systems : Managing Variation and Interactions." Doctoral thesis, Linköping : Department of Computer and Information Science, Linköping University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10111.

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Bartova, Zdenka. "Learning from the experts: Qualitative study of the lived experience of mental illness." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2014. https://ro.ecu.edu.au/theses/1412.

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Severe mental illness has a profound effect on the affected individuals yet it does not necessarily prevent them from leading a meaningful and fulfilling life, and therefore recovering. Recovery has received a great interest in clinical and consumer research yet little is known about how those individuals who do not primarily identify with recovery respond to the concept and come to accept it as something that is personally meaningful. Using a qualitative approach following the principles of Gadamer’s (1975) hermeneutics, the present study explored people’s subjective experience of mental illness with the aim of identifying factors related to their views of mental illness, their adaptation, coping and recovery, and the subjective meanings they gave to the phenomenon. In Phase I, 25 adults diagnosed with mental illness participated in unstructured, confidential interviews at the end of which they completed the Recovery Assessment Scale-Revised (RAS-R) (Corrigan et al., 1999). The study identified six main themes related to person-centred and social/relational factors that played a role in the persons’ life with mental illness: (a) mental illness as a journey, (b) personal conceptualisations of mental illness, (c) illness management and coping, (d) losses and gains, (e) professional help, and (f) the role of others. Phase II was completed by 18 participants from the original sample who were provided with feedback on their respective RAS-R (Corrigan et al., 1999) results and who in turn provided their feedback on the scale and their experience of completing it; this was followed by a discussion of recovery. The participant narratives suggested that recovery was conceptualised in two broad ways: as a return to baseline following crisis and as living as best as one can given personal circumstances. The findings further indicated that recovery as a concept had the potential to remain abstract and lack in meaning unless the person’s biases and perceptions were explored in an opened, non-directive conversation. Both the initial interview and the follow-up session were audiotaped, transcribed and consequently subjected to thematic content analysis. Following the analysis, the participants were invited for a third interview during which they were asked to provide feedback on the analysis and add further information. This represented Phase III, which was completed by 10 participants from the original sample; this phase also served as a reflection on the experience of research participation. Findings indicated that research participation was generally seen as a positive experience that could have potentially therapeutic benefits. The process involved active engagement for both the participants and the researcher, which may have helped foster closeness but that also raised a number of ethical dilemmas, primarily in terms of dual roles and researcher self-disclosure. Overall, the studies highlighted the complex interplay of both clinical and non-clinical factors that the individuals took into account as they were making sense of their experience. The studies have a number of clinical implications, specifically addressing the role of hospitals in treatment, the relationship between mental illness and trauma, participatory assessment of recovery, and the role of clinical psychology in the treatment of severe mental illness. Furthermore, the studies point out the potential benefits of supplementing clinical work, whether in research or in treatment, with the methods and processes of Gadamerian hermeneutics. The core principles of the Gadamerian approach (the fusion of the horizons of meaning, the hermeneutic circle and the dialogue) promote viewing of a phenomenon as a contextually embedded experience that is interpreted through the person’s pre-existing views and his/her present range of vision. The approach conceptualises interactions between two parties as opened conversations that aim at shared understanding, rather than objective truth. Such conversations are characterised by a back-and-forth movement between the whole and its parts, which eventually leads to improved understanding. Therefore greater appreciation of contextual information and meaning-making processes; treating both sources of expertise (consumer and professional) as equally important; viewing psychopathology as only one part of mental illness and mental illness as one part of the person’s life; and finally approaching clinical and research interactions as relational endeavours that test the underlying assumptions of both parties could help influence the way mental health professionals work with individuals with severe mental illness.
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Brown, Gordon Lindal. "Assessment of crop losses from ozone using biomonitor plants and risk estimates by experts." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/30601.

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Environmental policy makers are required to make decisions under uncertainty regarding the benefits and costs of specific regulatory action. Uncertainty is a phenomenon that cannot be avoided in the assessment of environmental impacts, due to the inherent stochasticity of environmental systems, as well as a lack of adequate empirical data related to specific cause and effect relationships. A primary constraint associated with generation of adequate data from experiments is that environmental research is expensive, and conclusive results may take several years to obtain. In the meantime, significant impacts could be occurring, virtually undetected. A high degree of uncertainty exists in the assessment of the potential effects of ozone (O₃) pollution on agricultural crop yield. Thus, the purpose of this research was to provide information related to the potential impacts of O₃ pollution on crops in the Fraser Valley east of Vancouver, British Columbia, Canada. Two alternate methods were utilized: (i) biomonitoring with Bel W-3 tobacco, a plant variety that is very sensitive to O₃, and (ii) expert judgments of the risks of crop losses from O₃. The biomonitor survey was conducted over three growing seasons (1985 - 1987), in which ambient O₃ pollution conditions were atypically low, limiting the injury response data obtained. However, a correlation was established between biomonitor injury response and ambient O₃ levels, demonstrating that phytotoxic pollution conditions occurred during these years. Calibration of biomonitor injury response with crop yield losses revealed the following: (i) yield losses due to O₃ exposure are likely in the event that biomonitor plants exhibit O₃-induced injury symptoms, and (ii) the absence of biomonitor injury does not preclude the possibility of crop loss, since the O₃ exposure threshold for biomonitor injury may exceed that for loss of certain crops. Although experts are commonly used to provide judgments of potential impacts under uncertainty, there is a paucity of information regarding the desirable attributes of expertise. Selection of experts is largely an ambiguous task, and choices of experts by different persons are likely to be inconsistent. Prior to selection of experts for this project, a comprehensive survey was conducted of over 200 environmental professionals to determine the characteristics of an expert in O₃ effects on crops. It was shown that expertise in this area involves a considerable number of attributes. These were grouped, using factor analysis, into seven independent dimensions: education, type of career experience, length of career experience, cognitive skills, personal qualities related to credibility, scientific recognition and involvement in the scientific community. In general, there was agreement between different groups (e.g., research scientists and members of conservation groups) regarding the relative importance of the various dimensions of expertise. Nine crop loss experts were selected, based on nomination by a large group (166) of their scientific peers. It was demonstrated with regression analysis that nominated experts exhibited the attributes identified in the survey. Logit models were estimated that predict an individual's degree of expertise in O₃ effects on crops, based on specific attributes possessed by that individual. Independent judgments were then obtained from the nine experts regarding probable crop losses under typical O₃ pollution conditions in the Fraser Valley. Probabilistic judgments of crop losses were generally similar among experts and approximated the level of crop losses predicted from the biomonitor survey. Limited empirical exposure-response information for Fraser Valley crops indicated that some cultivars may be more sensitive than assumed by the experts. Additional exposure-response experiments will be required to determine the source of this inconsistency.<br>Science, Faculty of<br>Resources, Environment and Sustainability (IRES), Institute for<br>Graduate
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Reyes, Felipe Alejandro. "Are all new market entry strategic dimensions equally relevant?: insights from some chilean experts?" reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/15135.

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Submitted by Daniele Santos (danielesantos.htl@gmail.com) on 2015-12-22T14:14:41Z No. of bitstreams: 1 Felipe.pdf: 2884908 bytes, checksum: fd9bfa679fe21d998b708516dec44d99 (MD5)<br>Approved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2016-01-27T16:22:48Z (GMT) No. of bitstreams: 1 Felipe.pdf: 2884908 bytes, checksum: fd9bfa679fe21d998b708516dec44d99 (MD5)<br>Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2016-02-01T13:46:12Z (GMT) No. of bitstreams: 1 Felipe.pdf: 2884908 bytes, checksum: fd9bfa679fe21d998b708516dec44d99 (MD5)<br>Made available in DSpace on 2016-02-01T13:46:25Z (GMT). No. of bitstreams: 1 Felipe.pdf: 2884908 bytes, checksum: fd9bfa679fe21d998b708516dec44d99 (MD5) Previous issue date: 2015-10-27<br>This thesis looks into the strategic dimensions that Multi-National Companies (MNC) consider when they start the operation in a new country in Latin America and if all have the same weight or relevance when doing the strategic decisions as a guide to land onto a new country. Understanding the weight that MNCs gives to them can prompt to understand the reasons behind the success stories, the struggles - and even failures - that some companies had in the aforementioned region. The approach was via an initial analysis of the scholar bibliography in order to define three main dimensions in the models or frameworks that deal with the strategy used to land. After this, and through interviews, was found out how relevant are each of them for their companies, how they weight them and if there were other dimensions considered. The question that this thesis contributes to understand is if all new market strategic dimensions are equally relevant for a MNC when arriving to Latin America. The results show a predominance of the cultural aspect and in second place, the considered entry strategy (alliances, speed, size, etc.).
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De, santiago Kylliann. "From stratification to prediction : multimodal machine learning with latent block models and mixtures of experts." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASM001.

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Cette thèse explore l'application de méthodes d'apprentissage automatique multimodales pour l'analyse de données médicales, en mettant l'accent sur la stratification des patients et la prédiction de la récupération auditive après un traumatisme sonore aigu. L'étude repose sur des données hétérogènes (audiologiques, génomiques et protéomiques) collectées à différents moments après le traumatisme. L'objectif principal est d'extraire des caractéristiques pertinentes en combinant ces données multimodales, afin de permettre une analyse plus précise du comportement individuel des patients et des tendances globales. Dans un premier temps, les problématiques de l'apprentissage multimodal et les particularités de la fusion des données sont abordées. Ensuite, un modèle de fusion tardive basé sur les modèles à blocs stochastiques est développé. Ce modèle permet de caractériser la redondance et la complémentarité de l'information disponible : (i) en regroupant les différentes sources en composantes, (ii) en maintenant une stratification globale des individus, permettant ainsi la définition de communautés. Par ailleurs, l'utilisation de l'approche bayésienne permet de mettre en œuvre une méthode de sélection de modèle. Enfin, un modèle de fusion intermédiaire est proposé, étendant le cadre des Mixture of Experts en intégrant une modélisation par modèle à blocs latents conditionnels des entrées. L'objectif est de réduire la complexité algorithmique en résumant les variables par composantes, tout en préservant l'interprétabilité et en assurant de bonnes performances de prédiction<br>This thesis explores the application of multimodal machine learning techniques for the analysis of medical data, with a focus on patient stratification and the prediction of hearing recovery after acute sound trauma. The study relies on heterogeneous data (audiological, genomic, and proteomic) collected at various time points following the trauma. The main objective is to extract relevant features by combining these multimodal data, thus enabling a more accurate analysis of individual patient behavior and global trends. First, the challenges of multimodal learning and the specificities of data fusion are addressed. Next, a late fusion model based on stochastic block models is developed. This model allows the characterization of redundancy and complementarity of the available information by (i) grouping the different sources into components, and (ii) maintaining a global stratification of individuals, thereby defining communities. Moreover, the use of a Bayesian approach enables the implementation of a model selection method. Finally, an intermediate fusion model is proposed, extending the Mixture of Experts framework by incorporating conditional latent block modeling of the inputs. The objective is to reduce algorithmic complexity by summarizing variables into components while preserving interpretability and ensuring good predictive performance
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Mohanty, Pooja. "Knowledge aggregation from experts and customers: A contribution to new product innovation with artificial intelligence techniques." Doctoral thesis, Universitat Ramon Llull, 2021. http://hdl.handle.net/10803/672428.

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La innovació de nous productes amb la participació del client, ha ajudat a reforçar el canvi de paradigma de les organitzacions cap a una lògica centrada en el client. Els beneficis de participar en la co-creació de nous productes són especialment prolífics per als clients, donant lloc al fenomen de crowdsourcing amb tornejos, retransmissions i concursos. No obstant això, amb una major participació, les empreses s'enfronten a un nou repte: aprendre a filtrar les millors solucions o idees per als seus problemes. Per a això, proposem un enfoc basat en el nivell d'adopció de clients. Primer, identifiquem 72 articles que examinen l'adopció de la innovació per part dels clients en una revisió sistemàtica de la literatura durant 30 anys, en múltiples disciplines. Sintetitzar el coneixement existent ens ha permès dibuixar un marc conceptual que relaciona el segment de clients innovadors (IG) amb el rendiment de nous productes. A l'igual que els usuaris principals, el paper dels Innovadors és crucial en el procés de desenvolupament de nous productes (NPD). roposem formes per identificar aquests clients i vincular-los al procés de desenvolupament de nous productes mitjançant la utilització dels seus coneixements i preferències, la generació d'idees o la difusió i promoció dels nous llançaments. Tot i la seva contribució en el procés d'innovació, identificar els clients més innovadors (també anomenats early adopters) no ha estat sistemàtica. Investigacions anteriors inclouen tècniques de netnografia, piramidación i detecció combinades amb enquestes per capturar el potencial IG. No obstant això, segueix existint una bretxa en la forma sistemàtica d'identificar aquests clients. Per tancar la bretxa, explorem formes específiques de selecció de clients de Big-Data i així mitigar les limitacions del crowdsourcing en el procés de co-creació. Desenvolupem un sistema intel·ligent combinant el coneixement d'experts i la informació comportamental de la base de dades de clients existent. A l'emprar models d'aprenentatge automàtic supervisats, ajudem a identificar i predir quins són els primers clients (de tota la base de dades de l'empresa) que adoptaran / adquiriran abans el nou producte. Al fer-ho, mostrem als directius que poden desenvolupar models d'Intel·ligència Artificial (IA) que els permet identificar els seus early adopters de la Big-Data existent a l'empresa. Acadèmicament, mostrem que combinant el coneixement dels experts en matèria d'identificació de early adopters i llançaments de productes, amb la informació emmagatzemada sobre clients a la base de dades de l'empresa, i analitzant aquest coneixement amb tècniques d'IA, es pot identificar millor als IGs que amb els mètodes existents. També avancem en el coneixement dels factors clau que més afecten als IGs en les seves decisions d'adquisició de nous productes. Teòricament, contribuïm a la literatura de classificació de clients i NPD amb algoritmes d'aprenentatge automàtic aplicats. A més, proporcionem coneixements i suggerim línies futures per avançar en la investigación de la investigació de la co-creació i el crowdsourcing.<br>La innovación de nuevos productos con la participación del cliente, ha ayudado a reforzar el cambio de paradigma de las organizaciones hacia una lógica centrada en el cliente. Los beneficios de participar en la cocreación de nuevos productos son especialmente prolíficos para los clientes, dando lugar al fenómeno de crowdsourcing con torneos, retransmisiones y concursos. Sin embargo, con una mayor participación, las empresas se enfrentan a un nuevo reto: aprender a filtrar las mejores soluciones o ideas para sus problemas. Para ello, proponemos un enfoque basado en el nivel de adopción del cliente. Primero, identificamos 72 artículos que examinan la adopción de la innovación por parte de los clientes en una revisión sistemática de la literatura durante 30 años, en múltiples disciplinas. Sintetizar el conocimiento existente nos ha permitido dibujar un marco conceptual que relaciona el segmento de clientes innovadores (IG) con el rendimiento de nuevos productos. Al igual que los usuarios principales, el papel de los Innovadores es crucial en el proceso de desarrollo de nuevos productos (NPD). Proponemos formas para identificar a estos clientes y vincularlos al proceso de desarrollo de nuevos productos mediante la utilización de sus conocimientos y preferencias, la generación de ideas o la difusión y promoción de los nuevos lanzamientos. A pesar de su contribución en el proceso de innovación, identificar los clientes más innovadores (early adopters) no ha sido sistemática. Investigaciones anteriores incluyen técnicas de netnografía, piramidación y detección combinadas con encuestas para capturar el potencial IG. Sin embargo, sigue existiendo una brecha en la forma sistemática de identificar a estos clientes. Para cerrar la brecha, exploramos formas específicas de selección de clientes de Big-Data y así mitigar las limitaciones del crowdsourcing en el proceso de cocreación. Desarrollamos un sistema inteligente combinando el conocimiento de expertos y la información comportamental de la base de datos de clientes existente. Al emplear modelos de aprendizaje automático supervisados, ayudamos a identificar y predecir cuáles son los primeros clientes (de toda la base de datos de la empresa) que adoptarán/adquirirán antes el nuevo producto. Al hacerlo, mostramos a los directivos que pueden desarrollar modelos de Inteligencia Artificial (IA) que les permite identificar sus early adopters de la Big-Data existente en la empresa. Académicamente, mostramos que combinando el conocimiento de los expertos en materia de identificación de early adopters y lanzamientos de productos con la información almacenada sobre clientes en la base de datos de la empresa, y analizando este conocimiento con técnicas de IA, se puede identificar mejor a los early adopters que con los métodos existentes. También avanzamos en el conocimiento de los factores clave que más afectan a los IGs en sus decisiones de adopción de nuevos productos. Teóricamente, contribuimos a la literatura de clasificación de clientes y NPD con algoritmos de aprendizaje automático aplicados. Además, proporcionamos conocimientos y sugerimos direcciones futuras para avanzar en la investigación de la cocreación y el crowdsourcing.<br>New product innovation with customer participation has helped reinforce the paradigm shift from organisation to customer centric logic. The benefits of customers’ participation for cocreation in new products are specifically prolific, giving rise to interesting phenomenon of crowdsourcing with tournaments, broadcasting and contests. However, with increased participation, firms face challenges in filtering the best solutions or ideas for their problems. Acknowledging these facts, we employ a customer-adoption perspective to investigate the problem. First, we identify 72 articles that examine customer adoption of innovation in a systematic literature review of 30 years across multiple disciplines. By synthesising the existing knowledge, we propose a conceptual framework linking Innovator Group (IG) customers to new product performance. Similar to lead users, the role of IG customers is crucial in New Product Development (NPD) process, and we propose ways to identify these customers and link them to new product performance by utilize their knowledge for preference dissemination, idea generation or new product information diffusion. Despite their contribution and usage in the innovation process, identification of these early adopters has remained unsystematic. Prior research has included netnography, pyramiding and screening techniques with surveys to capture the potential IG. However, there remains a gap in the systematic way to identify these customers. To bridge the gap, we explore specific ways to select these customers from Big-Data for mitigating the challenges of overcrowding in cocreation process. We developed an intelligent system framework by combining knowledge from experts and knowledge on customer behavioural information. By employing supervised machine learning models, we help identify and predict the early adopters from the firm’s database. By doing so, we show managers that they can develop Artificial Intelligence (AI) models to utilise the Big-Data they have on customers for early adopter identification. For academia, we show with knowledge aggregation from experts and customers, AI techniques perform in identification better than the existing methods. We also advance the knowledge on the key factors that affect the early adopters the most in their new product adoption decisions. Theoretically, we contribute to the NPD and customer classification literatures with applied machine learning algorithms. We also provide insights and suggest future directions for advancing knowledge in the cocreation and crowdsourcing research.
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Books on the topic "From experts"

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Books, Time-Life, Eastman Kodak Company, and Mitchell Beazley Ltd, eds. Learning from the experts. Time-Life Books in association with Kodak, 1985.

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Books, Time-Life, Eastman Kodak Company, and Mitchell Beazley Ltd, eds. Learning from the experts. Time-Life Books in association with Kodak, 1985.

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American Bar Association. Tort and Insurance Practice Section., American Bar Association. Tort and Insurance Practice Section. Meeting, and American Bar Association. Tort and Insurance Practice Section. Committee on Trial Techniques., eds. Trial tips from the experts. American Bar Association, 1994.

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Marietta, Whittlesey, ed. Dressage insights: Excerpts from experts. Half Halt Press, 1994.

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Team, West Region DPE, ed. Community sampler: Excerpts from the experts. Pearson Education, 2006.

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Littlejohn, Shinder Debra, ed. Windows XP: Answers from the experts. McGraw-Hill/Osborne, 2005.

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Oliva, Lawrence M. Information technology security: Advice from experts. CyberTech Pub., 2004.

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Martin, Laura C. Texas gardening: Answers from the experts. Taylor Pub. Co., 1998.

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(Firm), Strawberry Software, ed. Accessing C: Tips from the experts. 2nd ed. Van Nostrand Reinhold, 1989.

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1951-, Khosrowpour Mehdi, ed. E-commerce security: Advice from experts. CyberTech Pub., 2004.

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Book chapters on the topic "From experts"

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Engel, Barak. "Advice from Experts." In The Security Hippie. CRC Press, 2022. http://dx.doi.org/10.1201/9781003133308-6.

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Miller, Scott D., Mark A. Hubble, and Daryl Chow. "Learning from the experts on expertise." In Better results: Using deliberate practice to improve therapeutic effectiveness. American Psychological Association, 2020. http://dx.doi.org/10.1037/0000191-003.

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Eagan, Owen. "Insights from the Experts." In Oscar Buzz and the Influence of Word of Mouth on Movie Success. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41180-0_9.

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Krell, Elena Elías. "From Innocents to Experts." In The Routledge Handbook of Gender and Communication. Routledge, 2020. http://dx.doi.org/10.4324/9780429448317-35.

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Hornikx, Jos. "On the Conditional Acceptance of Arguments from Expert Opinion." In The Pandemic of Argumentation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91017-4_18.

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AbstractDuring the COVID-19 pandemic, people around the world were bombarded by new information, often provided by experts, such as epidemiologists, virologists, or intensive care specialists. These experts have struggled at convincing the general public to behave in ways that make a way out of the pandemic possible. In this chapter, it is argued that audience acceptance of appeals to experts is conditional in two ways. First, acceptance of expert opinions is conditional upon the degree to which appeals to expert opinions respect critical questions regarding the evaluation of these appeals. Second, acceptance of expert opinions is conditional upon the audience’s prior belief in the claims. It is argued that the most likely factor that has played a role in the lack of influence of experts is the weak consensus between experts when it comes to issues regarding the COVID-19 pandemic.
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Wilson, Kevin J., and Malcolm Farrow. "Combining Judgements from Correlated Experts." In Elicitation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65052-4_9.

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Tod, David. "Top Tips from the Experts." In Conducting Systematic Reviews in Sport, Exercise, and Physical Activity. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12263-8_13.

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Feltz, Adam, and Edward T. Cokely. "Philosophical Expertise." In Diversity and Disagreement. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61935-9_5.

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AbstractIn this chapter we directly address one of the prominent objections to generalizing studies done on non-professional philosophers to experts in philosophy. The Expertise Defense holds that because of the special training, knowledge, or skills of professional philosophers, the potentially problematic biases found in non-professional philosophers will not likely be found in expert philosophers. To assess this argument, we provide a substantial discussion on how expertise is acquired. We focus on the facts that experts are always made and not born, general intelligence cannot explain all there is to expertise, and experts have different knowledge and skills than non-experts. We then use these general points to argue that philosophers are not likely to have the relevant kinds of learning environments, skills, or knowledge that prevents them from being biased in potentially problematic ways. We report results directly testing whether extraversion predicts compatibilist judgments about freedom and moral responsibility in philosophical experts, finding that indeed expert philosophers tend to be biased by their heritable personality traits. We conclude that without further evidence, we do not have reason to think that philosophical expertise will eliminate potentially problematic biases in philosophically relevant judgments.
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Hiltunen, Turo. "Chapter 8. “The job requires considerable expertise”." In Exploring Language and Society with Big Data. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/scl.111.08hil.

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While clearly important in decision-making in democratic societies, the authority of science and expertise in public forums is nowadays increasingly challenged by different advocacy groups and crowd-based politics. Using the Hansard Corpus, this chapter explores how experts and expert knowledge are referred to in the British parliamentary record from 1800 to 2005, focusing on how frequently members of parliament (MPs) refer to different kinds of experts and their expertise in parliamentary debates, and whether diachronic changes can be linked to historical events and cultural and intellectual changes. The quantitative analysis is complemented with a qualitative investigation of how experts and expert knowledge are framed in parliamentary debates. The analysis shows that overall the references to experts have increased in the twentieth century and especially after the 1950s. Yet variation among individual terms and discourse contexts is evident, indicating that cultural explanations of corpus data should be approached with caution.
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Miettinen, O. S. "More on Garnering Experts’ Tacit Knowledge." In Up from Clinical Epidemiology & EBM. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9501-5_23.

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Conference papers on the topic "From experts"

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Dromgool, Mark B. "When Technical Expertise Turns to Advocacy Dueling Technical Experts – Part II." In CORROSION 2013. NACE International, 2013. https://doi.org/10.5006/c2013-02859.

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Abstract How can two or more experienced coatings or corrosion industry practitioners – having vast amounts of knowledge in their specialist field and with a history of obedience to the scientific doctrine of being fact-finders and fact-interpreters – look forensically at the same evidence connected, for example, with a coatings or lining failure, and then stand up in court as expert witnesses to become active campaigners for their client’s position and present totally different causes, mechanisms or consequences? The dueling between expert witnesses in litigation diminishes the ethical standing of true technical experts, whose duty – as articulated in what is known as a Code of Conduct for Expert Witnesses in most legal jurisdictions – is to provide expertise, knowledge and independent evidence of facts and opinion to the court that it does not have of itself. This paper presents some examples of the sort of dueling that technical experts in disputes can resort to as they transform from technical experts into advocates. Part I of this paper (NACE 2009, Paper 090381) provided advice to technical experts in their field who may be called as expert witnesses in dispute or court proceedings. It also described the process by which expert witnesses may provide evidence in a typical court situation.
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Maathuis, Clara, and Dragos Datcu. "Transparency of AI-XR Systems: Insights from Experts." In 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR). IEEE, 2025. https://doi.org/10.1109/aixvr63409.2025.00058.

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Vlachos, Anastasios, Anastasios Tsiamis, Aren Karapetyan, Efe C. Balta, and John Lygeros. "Online Residual Learning from Offline Experts for Pedestrian Tracking." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886314.

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Antapurkar, Shreya, Jayesh Karadkhele, S. R. Kokane, and Amit Kadam. "Enhancing Agriculture: Implementing Web Application for Agriculture Solutions from Experts." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10774833.

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Zhu, Tong, Xiaoye Qu, Daize Dong, et al. "LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.890.

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Ansari, Faizanuddin, Agnish Bhattacharya, Biswajit Saha, and Swagatam Das. "Mo2E: Mixture of Two Experts for Class-Imbalanced Learning from Medical Images." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635212.

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Calvarano, Mara, Domenico Condanni, and Bruno Bazzoni. "“Corrosion Intelligence”: An Application to Oil and Gas Pipelines." In CORROSION 1997. NACE International, 1997. https://doi.org/10.5006/c1997-97324.

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Abstract The transfer of sound corrosion knowledge from human experts to dedicated software tools has been individuated as a strategic activity, and, accordingly, a number of applications have been developed in recent years. This approach to corrosion, which represents a new phase, coming after those of corrosion science and corrosion engineering, has been labelled “corrosion intelligence”(1), and it matches several needs of an oil company, as: standardisation of design procedures; “capitalization” of available knowledge in programs easy to update; decentralisation of the expertise. The paper illustrates an expert system dealing with all aspects related to oil and gas pipeline corrosion, including: internal and external corrosion; material selection and corrosion control requirements; internal corrosion monitoring; coatings; cathodic protection; corrosion in transient phases; intelligent pig inspection; costs comparison. In particular, the modules for internal and external corrosion assessment are described. The general architecture of the application, based on independent expert modules, is discussed in detail and examples of results, with relevant interfaces, are shown. The expert system is also evaluated with respect to another software application for the assessment of corrosion risks.
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Petre, Marian. "Lessons from Experts." In ITiCSE '19: Innovation and Technology in Computer Science Education. ACM, 2019. http://dx.doi.org/10.1145/3304221.3325602.

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Wodin, Jesse. "Thoughts from a GPS Non-expert: With Input from GPS Experts." In 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017). Institute of Navigation, 2017. http://dx.doi.org/10.33012/2017.15276.

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Noll, Michael G., Ching-man Au Yeung, Nicholas Gibbins, Christoph Meinel, and Nigel Shadbolt. "Telling experts from spammers." In the 32nd international ACM SIGIR conference. ACM Press, 2009. http://dx.doi.org/10.1145/1571941.1572046.

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Reports on the topic "From experts"

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McDonald, James B. Eliciting Knowledge from Military Experts: An Associative Network Approach. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada238832.

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Au, Hubert, Mona Elswah, Sebastián Valenzuela, Wendy Hui Kyong Chun, Young Mie Kim, and Philip N. Howard. Expert Survey on the Global Information Environment 2023: Lessons for Technology Policy and Design. Edited by Frank Esser and Daniel Pemstein. International Panel on the Information Environment (IPIE), 2023. https://doi.org/10.61452/rjlv4135.

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The global information environment is impacted by both technology design and public policy. This Summary for Policymakers summarizes Trends in the Global Information Environment: 2023 Expert Survey Results (SR2023.3). How do technology experts around the world perceive the varied features of, and threats to, the information environment in their countries of expertise? The IPIE surveyed 289 scientists—researchers who had authored a relevant, peer-reviewed journal article—over a four-week period in the spring of 2023. This large-scale expert survey was offered in Arabic, Chinese, English, French and Spanish, and experts from around the world reported on the trends in 54 countries.
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Andrews, Rodney, Trevon Logan, and Michael Sinkey. Identifying Confirmatory Bias in the Field: Evidence from a Poll of Experts. National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w18064.

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Guzman, Andres Felipe, and Juan Nicolas Gonzalez. Evaluating Airport Location Sustainability Performance: A Methodology from Experts and Contextual Perspective. King Abdullah Petroleum Studies and Research Center, 2025. https://doi.org/10.30573/ks--2025-mp01.

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This paper presents a methodology to evaluate the sustainable performance of an airport location. The approach integrates multiple criteria, including transport requirements, environmental impacts, accessibility, economic potential, social impacts, and regulatory acceptability. The methodology consists of three steps: (1) defining location scenarios and setting Key Performance Indicators (KPIs); (2) expert weighting of criteria, incorporating contextual sensitivity to allow for adjustments based on regional factors; and (3) quantifying location performance. This methodology emphasizes the importance of sustainability, ensuring that the chosen airport location provides both immediate and long-term benefits. The goal is to ensure that decisions are tailored to local needs within an international context while maintaining compliance with various factors to ensure long-term success and minimal adverse impacts.
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Au, Hubert, Mona Elswah, Sebastián Valenzuela, Wendy Hui Kyong Chun, Young Mie Kim, and Philip N. Howard. Trends in the Global Information Environment: 2023 Expert Survey Results. Edited by Frank Esser and Daniel Pemstein. International Panel on the Information Environment (IPIE), 2023. https://doi.org/10.61452/benz7498.

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The information environment is rapidly evolving, with algorithmic bias, manipulation and misinformation having a significant impact on public life. The global network of researchers is an important source of knowledge about the prospects for building a more healthy and resilient information environment. How do technology experts around the world perceive the varied features of, and threats to, the information environment in their countries of expertise? The IPIE surveyed 289 scientists—researchers who had authored a relevant, peer-reviewed journal article—over a four-week period in the spring of 2023. This large-scale expert survey was offered in Arabic, Chinese, English, French and Spanish, and experts from around the world reported on the trends in 54 countries.
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Borchmann, Daniel, Felix Distel, and Francesco Kriegel. Axiomatization of General Concept Inclusions from Finite Interpretations. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.219.

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Description logic knowledge bases can be used to represent knowledge about a particular domain in a formal and unambiguous manner. Their practical relevance has been shown in many research areas, especially in biology and the semantic web. However, the tasks of constructing knowledge bases itself, often performed by human experts, is difficult, time-consuming and expensive. In particular the synthesis of terminological knowledge is a challenge every expert has to face. Because human experts cannot be omitted completely from the construction of knowledge bases, it would therefore be desirable to at least get some support from machines during this process. To this end, we shall investigate in this work an approach which shall allow us to extract terminological knowledge in the form of general concept inclusions from factual data, where the data is given in the form of vertex and edge labeled graphs. As such graphs appear naturally within the scope of the Semantic Web in the form of sets of RDF triples, the presented approach opens up the possibility to extract terminological knowledge from the Linked Open Data Cloud. We shall also present first experimental results showing that our approach has the potential to be useful for practical applications.
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Germano, J. D., and D. A. Carey. Measuring Rates and Effects of Dredging-Induced Sedimentation: Results From a Survey of Experts. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada426379.

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Browne, Daniel. From Access to Equity: Making Out-of-School-Time Spaces Meaningful for Teens From Marginalized Communities. The Wallace Foundation, 2022. http://dx.doi.org/10.59656/yd-os7176.002.

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To develop meaningful out-of-school-time programming for young people from marginalized communities, experts suggest that programs introduce practices that foster “a genuine sense of dignity and belonging for youth” and improve working conditions for program staffers.
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Albornoz, Facundo, Guillermo Cruces, and María Lombardi. Trusting Covid-19 recommendations: The role of experts, markets and governments. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005097.

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Do individuals trust experts' advice? Does the sector represented by these experts matter for trust and compliance? Do individuals prefer the public or the private sector for large-scale responses to events such as the pandemic? We answer these questions by means of a large-scale survey on a representative sample of 9,444 respondents from Argentina, Bolivia, Colombia, Ecuador, Mexico, Peru and Uruguay. We study if opinions on risk-mitigating actions against Covid-19 are shaped by expert recommendations and the sectors they represent. We identify a backlash against experts' recommendations that is robust across expert sectors and countries, and more pronounced for recommendations that require more effort to implement. We also find that, even for individuals with a low level of trust in the public sector, there is widespread agreement that governments should be preferred over the private sector to lead the production and distribution of vaccines. Most respondents, even those expressing distrust in governments, believe that governments should get involved in producing the vaccine for Covid-19, either exclusively or in a partnership with the private sector. This result is stronger for the distribution of the vaccine than for its production.
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Czajkowski, Jeffrey, and Tyler Leverty. Pandemic business interruption insurance coverage: Insights from WSB [Wisconsin School of Business] survey of insurance experts. Center for Insurance Policy and Research, 2020. http://dx.doi.org/10.52227/21112.2020.

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As businesses across the country (and the globe) have been forced to shut down to contain the spread of COVID-19, many have turned to their insurance policies for indemnification of their losses through business interruption (BI) insurance coverage. However, only about 40% of small businesses in the U.S. purchase BI coverage, and for many policies in place, pandemics are excluded or not explicitly covered. As a consequence of this significant coverage gap, there have been state and federal legislative proposals to either: i) retroactively provide coverage regardless of policy existing policy language; or ii) create a government-backed pandemic insurance program to provide BI coverage for pandemics moving forward. The Wisconsin School of Business (WSB) Insurance Experts Panel explores the extent to which insurance experts agree or disagree on major public policy issues affecting the insurance industry. We turned to the more than 50 insurance experts on the WSB Insurance Experts Panel to obtain their insights on this significant BI coverage issue.
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