Introduction I
By R. Perelberg. 2018
Subfields: Evaluation & Benchmarks
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Evaluation & Benchmarks
- Dacheng Tao
- Finale Doshi-Velez
- Yuan Xie
- Praveen Gauravaram
- Yanyun Qu
- Salil S. Kanhere
- Jelle J. Goeman
- Raja Jurdak
Citations in the corpus
- Human-in-the-Loop Interpretability Prior (2018, background): “These proxies include notions of tree depth [24] and sparsity [15, 21].”
- Incorporating Global Englishes into the ELT classroom (2018, unknown): “Despite the example lesson plans and activities provided by Matsuda and Duran (2012) to raise awareness of the diversity of English, little research to date has been conducted on students’ responses to such materials.”
- On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization (2016, methodology): “However, good scores on an internal criterion do not necessarily translate into good effectiveness in an application [32].”
- Knowledge Graph Completion: A Review (2020, background): “Many researchers have also attempted to improve the semantic representation ability of probabilistic graphical models [38].”
- A Survey of Automatic Parameter Tuning Methods for Metaheuristics (2020, unknown): “whether economics, sciences, or engineering [1].”
- Plea for routinely presenting prediction intervals in meta-analysis (2016, background): “For example, in a meta-analysis on sedentary time in adults and the association with diabetes, cardiovascular disease and death, CIs were thought to represent insuf fi ciently the different study populations.”
- Blockchain for IoT security and privacy: The case study of a smart home (2017, methodology): “To add a device to the smart home, the miner generates a genesis transaction by sharing a key with the device using generalized Diffie-Hellman [10].”