What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Operating system
- The Internet
Nuria Oliver mostly deals with Artificial intelligence, Machine learning, Hidden Markov model, Computer vision and Recommender system.
Her Artificial intelligence study frequently intersects with other fields, such as Quality.
Her work carried out in the field of Machine learning brings together such families of science as Preprocessor, Data mining and Bayesian probability.
Her Bayesian probability study integrates concerns from other disciplines, such as Dynamic time warping and Human behavior.
Her Hidden Markov model research integrates issues from Inference, Face, Probabilistic logic, Granularity and Robustness.
Her study looks at the relationship between Computer vision and fields such as Facial expression, as well as how they intersect with chemical problems.
Her most cited work include:
- A Bayesian computer vision system for modeling human interactions (1497 citations)
- Image analogies (1331 citations)
- Coupled hidden Markov models for complex action recognition (956 citations)
What are the main themes of her work throughout her whole career to date?
Artificial intelligence, Mobile phone, Multimedia, Human–computer interaction and World Wide Web are her primary areas of study.
Her Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Computer vision.
In her study, which falls under the umbrella issue of Mobile phone, Mobile broadband, Order and Scale is strongly linked to Internet privacy.
Nuria Oliver has included themes like Mobile device, Information retrieval, Focus and Set in her Multimedia study.
Nuria Oliver combines subjects such as User interface and User modeling with her study of Human–computer interaction.
Nuria Oliver works mostly in the field of World Wide Web, limiting it down to concerns involving Mobile computing and, occasionally, Data science.
She most often published in these fields:
- Artificial intelligence (26.76%)
- Mobile phone (15.96%)
- Multimedia (15.02%)
What were the highlights of her more recent work (between 2015-2021)?
- Internet privacy (11.27%)
- Mobile phone (15.96%)
- Data science (9.39%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Internet privacy, Mobile phone, Data science, Scale and Pandemic.
Her Internet privacy research is multidisciplinary, relying on both Space, Order and World Wide Web.
Her research integrates issues of Personalization, Service, Personally identifiable information and Profiling in her study of Mobile phone.
Her Data science study also includes fields such as
- Mobile computing that connect with fields like Urbanism and Set,
- Big data that connect with fields like Similarity, Leverage, Computational sociology and Machine learning,
- Data analysis, which have a strong connection to Mobile search and Human dynamics.
Her Machine learning study frequently draws connections between related disciplines such as Artificial intelligence.
Nuria Oliver has researched Artificial intelligence in several fields, including Provisioning and Working group.
Between 2015 and 2021, her most popular works were:
- Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. (172 citations)
- Fair, Transparent, and Accountable Algorithmic Decision-making Processes: The Premise, the Proposed Solutions, and the Open Challenges (137 citations)
- Beyond Interruptibility: Predicting Opportune Moments to Engage Mobile Phone Users (60 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- The Internet
Her primary areas of study are Mobile phone, Pandemic, Public relations, Internet privacy and Computational sociology.
Her Mobile phone research incorporates elements of Field, Service and Push technology, World Wide Web, Mobile device.
She interconnects Phase, Order and Data collection in the investigation of issues within Internet privacy.
Her Order study incorporates themes from Control and Scale.
Her Control study combines topics from a wide range of disciplines, such as Cellular network and Service.
Her studies in Computational sociology integrate themes in fields like Human behavior, Simulation and Living lab.
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