7 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Ai Corporation (United Kingdom)GB1 paper
- Ambedkar University DelhiIN1 paper
- American UniversityUS1 paper
- Budapest University of Economics and BusinessHU1 paper
- Chinese University of Hong KongHK1 paper
- Chulalongkorn UniversityTH1 paper
- Delft University of TechnologyNL1 paper
- Dharma Gate Buddhist CollegeHU1 paper
- East–West CenterUS1 paper
- Eindhoven University of TechnologyNL1 paper
- Erasmus University RotterdamNL1 paper
- European UnionBE1 paper
6 papers
Multifidelity sensor placement in Bayesian state estimation problems
Gabriela Ramon, Geena Sarnoski, Vasishta Tumuluri +2
We study optimal sensor placement for Bayesian state estimation problems in which sensors vary in cost and fidelity, resulting in a budget-constrained multifidelity optimal experim…
From an attention economy to an ecology of attending. A manifesto
Gunter Bombaerts, Tom Hannes, Martin Adam +52
As the signatories of this manifesto, we denounce the attention economy as inhumane and a threat to our sociopolitical and ecological well-being. We endorse policymakers' efforts t…
Differentially Processed Optimized Collaborative Rich Text Editor
Nishtha Jatana, Mansehej Singh, Charu Gupta +5
A collaborative real-time text editor is an application that allows multiple users to edit a document simultaneously and merge their contributions automatically. It can be made col…
Piloting a Game Jam in Nigeria to Support Empathy and Compassion
Karen Schrier, Eugene Ohu, Ikeola Bodunde +3
While games may help to support skills practice and attitudinal change, the game creation process itself may also be effective in enhancing empathy and compassion for other people.…
Detecting Compromised Implicit Association Test Results Using Supervised Learning
Brendon Boldt, Zack While, Eric Breimer
An implicit association test is a human psychological test used to measure subconscious associations. While widely recognized by psychologists as an effective tool in measuring att…
Using LSTMs to Model the Java Programming Language
Brendon Boldt
Recurrent neural networks (RNNs), specifically long-short term memory networks (LSTMs), can model natural language effectively. This research investigates the ability for these sam…