Computing
By S. Seidman. 2014
138 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Constantinos S. Pattichis
- Douglas B. Kell
- Chris Biemann
- Andreas Holzinger
- Raj Jain
- Nikolas A. Tezak
- Andrew Barto
- Robert S. Smith
In Computational Theory and Mathematics
- Douglas B. Kell
- Raj Jain
- Constantinos S. Pattichis
- Andrew Barto
- Andreas Holzinger
- Robert S. Smith
- Chris Biemann
- William J. Zeng
Citations in the corpus
- What do we need to build explainable AI systems for the medical domain? (2017, background): “…emphasize that successful explainable-AI systems need effective user interfaces, fostering new strategies for presenting human understandable explanations, e.g. explanatory debugging (Kulesza et al., 2015), affective computing (Picard, 1997), sentiment analysis (Maas et al., 2011; Petz et al., 2015).”
- Intrinsic Motivation and Reinforcement Learning (2013, background): “There has been a great increase in interest in affect and emotion in constructing intelligent systems (e.g., Picard 1997, Trappl et al. 1997).”
- Unsupervised Machine Learning on a Hybrid Quantum Computer (2017, methodology): “We implement said algorithm on a 19-qubit computer using a flexible quantum programming platform [16, 17].”
- An Internet of Things Framework for Smart Energy in Buildings: Designs, Prototype, and Experiments (2015, background): “Cloud computing [13] certainly is a very hot topic related to our research.”