What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Social psychology
Jesse Hoey mostly deals with Dementia, Partially observable Markov decision process, Human–computer interaction, Artificial intelligence and Markov decision process.
His Partially observable Markov decision process research includes elements of Bellman equation, Reinforcement learning and Bayesian inference.
The concepts of his Human–computer interaction study are interwoven with issues in Emotion recognition, Activity recognition and Gesture.
His study in Machine learning extends to Artificial intelligence with its themes.
His Markov decision process research is multidisciplinary, incorporating elements of Mathematical optimization and Markov chain.
His Dynamic programming study in the realm of Mathematical optimization interacts with subjects such as Class, Space and Application domain.
His most cited work include:
- Sensor-Based Activity Recognition (625 citations)
- SPUDD: stochastic planning using decision diagrams (386 citations)
- An analytic solution to discrete Bayesian reinforcement learning (271 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Human–computer interaction, Affect control theory, Partially observable Markov decision process and Markov decision process.
His specific area of interest is Artificial intelligence, where Jesse Hoey studies Hidden Markov model.
His research in Hidden Markov model intersects with topics in Activity recognition, Anomaly detection and Training set.
He connects Human–computer interaction with Dementia in his research.
His Partially observable Markov decision process research incorporates elements of Rehabilitation and Bayesian probability.
His Markov decision process study combines topics from a wide range of disciplines, such as Mathematical optimization and Markov chain.
He most often published in these fields:
- Artificial intelligence (37.82%)
- Human–computer interaction (16.03%)
- Affect control theory (15.38%)
What were the highlights of his more recent work (between 2015-2021)?
- Affect control theory (15.38%)
- Artificial intelligence (37.82%)
- Affect (9.62%)
In recent papers he was focusing on the following fields of study:
Jesse Hoey spends much of his time researching Affect control theory, Artificial intelligence, Affect, Affective computing and Cognitive science.
Other disciplines of study, such as Function and Dementia, are mixed together with his Affect control theory studies.
His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Personality psychology and Natural language processing.
His Affective computing study is related to the wider topic of Human–computer interaction.
His Human–computer interaction study integrates concerns from other disciplines, such as End user and Medical education.
His work in Facial expression addresses issues such as Emotion recognition, which are connected to fields such as Group emotion and Protocol.
Between 2015 and 2021, his most popular works were:
- From individual to group-level emotion recognition: EmotiW 5.0 (129 citations)
- Review of fall detection techniques: a data availability perspective (105 citations)
- EmotiW 2016: video and group-level emotion recognition challenges (99 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Social psychology
His primary areas of study are Affect control theory, Affect, Function, Dementia and Affective computing.
The study incorporates disciplines such as Identity and Cognitive psychology, Set in addition to Affect control theory.
The Set study combines topics in areas such as Developmental psychology, Persona and Activities of daily living.
His Affect research is multidisciplinary, relying on both Emotion recognition, Speech recognition and Facial expression.
His Speech recognition research includes themes of Protocol, Group emotion and Human–computer interaction.
Jesse Hoey combines subjects such as Word, Cognitive science, Natural language and Conversation with his study of Affective computing.
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