A5100372639- Bayesian Modeling and Causal Inference
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Gaussian Processes and Bayesian Inference
- Bayesian Methods and Mixture Models
- Statistical Methods and Bayesian Inference
- Ethics and Social Impacts of AI
- Explainable Artificial Intelligence (XAI)
- Sports Analytics and Performance
- Machine Learning and Algorithms
- Entrepreneurship Studies and Influences
- Cognitive Abilities and Testing
- Child and Animal Learning Development
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Human Mobility and Location-Based Analysis
- Categorization, perception, and language
- Innovation and Socioeconomic Development
- Data Mining Algorithms and Applications
- Rough Sets and Fuzzy Logic
- Machine Learning and Data Classification
- Computational Drug Discovery Methods
- Law, Economics, and Judicial Systems
- Generative Adversarial Networks and Image Synthesis
- Privacy-Preserving Technologies in Data
University College London
2015-2024
Universidade Federal da Paraíba
2022-2023
Instituto de Estudos Superiores de Fafe LDA
2022
University of Beira Interior
2022
Instituto Nacional de Investigacion y Desarrollo Pesquero
2022
The Alan Turing Institute
2017-2021
Royal Statistical Society
2019
Center for Systems Biology
2011
Harvard University
2011
University of London
2010
Machine learning can impact people with legal or ethical consequences when it is used to automate decisions in areas such as insurance, lending, hiring, and predictive policing. In many of these scenarios, previous have been made that are unfairly biased against certain subpopulations, for example those a particular race, gender, sexual orientation. Since this past data may be biased, machine predictors must account avoid perpetuating creating discriminatory practices. paper, we develop...
Public transportation systems are an essential component of major cities. The widespread use smart cards for automated fare collection in these offers a unique opportunity to understand passenger behavior at massive scale. In this study, we network-wide data obtained from the London transport system predict future traffic volumes, and estimate effects disruptions due unplanned closures stations or lines. Disruptions, shocks, force passengers make different decisions concerning which enter...
Patients with chronic pain commonly believe their is related to the weather. Scientific evidence support beliefs inconclusive, in part due difficulties getting a large dataset of patients frequently recording symptoms during variety weather conditions. Smartphones allow opportunity collect data overcome these difficulties. Our study
The recent development of biological sensors has extended marine plankton studies from conducting laboratory bench work to in vivo and real-time observations. Flow cytometry (FCM) shed new light on microorganisms since the 1980s through its single-cell approach robust detection smallest cells. FCM records valuable optical properties scattering fluorescence cells passing a single file front narrow-collimated source, recording tens thousands within few minutes. Depending instrument settings,...
Purpose This study aims to analyse the influence of pillars (hard and soft skills) digital academic entrepreneurship on students' entrepreneurial intention. Design/methodology/approach was done by adopting a quantitative methodology involving empirical research with sample 761 university students from two countries structural equation analysis validate theoretical model proposed. Findings The results indicate direct between hard skills intention, positive, indirect these intention mediated...
Abstract The polycentric city model has gained popularity in spatial planning policy, since it is believed to overcome some of the problems often present monocentric metropolises, ranging from congestion difficult accessibility jobs and services. However, concept ‘polycentric city’ a fuzzy definition as result, extent which cannot be easily determined. Here, we leverage fine spatio-temporal resolution smart travel card data infer urban polycentricity by examining how departs well-defined...
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. some situations, normative workflow model of such processes is developed, becomes important know if actually being followed by analyzing available activity logs. other scenarios, no and, with purpose evaluating cases or creating new production policies, one interested in learning representation activities. either case, machine tools can mine models are great...
Reliable taxonomy underpins communication in all of biology, not least nature conservation and sustainable use ecosystem resources. The flexibility taxonomic interpretations, however, presents a serious challenge for end-users concepts. Users need standardised continuously harmonised reference systems, as well high-quality complete data sets, but these are generally lacking non-specialists. solution is dynamic, expertly curated web-based tools. Pan-European Species-directories Infrastructure...
Digital transformation (DT) has changed the means and mechanisms for acquiring knowledge, meaning that higher education institutions (HEI) have form of student-lecturer teaching-learning interaction. must a relevant role in building hard skills (HS) necessary academic entrepreneurship, where HS are easily taught measured. This study analyses basis digital answering following research hypothesis: What skills—entrepreneurial education—for entrepreneurship how they formed? An extensive,...
Purpose Digital technology changes the organizational structure of traditional firms, creating opportunities for entrepreneurship. These modifications are known as “digital transformation” (DT). In addition, higher education institutions (HEIs) altering form student–lecturer and teaching–learning interaction, where DT restructures bases soft skills (SS). Since SS difficult to measure, this study aims analyze digital academic entrepreneurship, responding following research question: What...
Some chemicals used in consumer products or manufacturing (eg, plastics, pesticides) have estrogenic activities; these xenoestrogens (XEs) may affect immune responses and recently emerged as a new risk factors for obesity cardiovascular disease. However, the extent impact on health of chronic exposure general population to XEs are still unknown.The objective study was investigate levels plasma adipose tissue (AT) depots sample pre- postmenopausal obese women undergoing bariatric surgery...
The use of fair value to measure the worth biological assets allows discretionary choices when using discounted cash flow in absence an active market, influencing quality accounting information. objective this study was investigate evidence earnings management among Brazilian companies that have adopted based on method. firms were investigated with regard to: a) disclosure discount rate, b) BM&FBovespa corporate governance levels; and c) adherence requirements standard CPC 29 (IAS 41). We...