^Colin, et al. What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. NIPS 2022.
The methods come with their own set of challenges such as the variation in the training data provided by the human and test-time distributions, the cost involved to keep the human in the loop during the long training phase and the imperfection of the human to deal with unforeseen ...
work with bigdata, which are described by two terms: Human-in- the-Loop Methods and Future of Work. Human-in-the-Loop is a term focusing on the employer's viewpoint while Future of Work focuses more on worker's viewpoint, in both of which the division of labor among humans and machi...
2. Methods In this section, the underlying research questions, methodological framework, and coding and data analysis protocol are described. 2.1. Research questions We seek to examine. 2.2. Theoretical framework In this work, we employ the basic structure of the Entity-Relationship or ER framework...
methods in this growing field. Nevertheless, we have sought to make this survey as comprehensive as possible. To help with this goal, we researched and analyzed a good many related references and documents. In addition, we also tried a variety of classification methods to divide the article ...
8 Dec 2023·Gustavo Perez,Daniel Sheldon,Grant van Horn,Subhransu Maji· Computer vision-based re-identification (Re-ID) systems are increasingly being deployed for estimating population size in large image collections. However, the estimated size can be significantly inaccurate when the task is chall...
3. 我们对不同的方法进行了定性评估和比较,来一致地评估他们。(We also conducted qualitative evaluations and comparisons between different methods to evaluate them consistently.)这将帮助读者决定哪种方法适合手头的问题; 4. 我们还确定了在这一领域的一系列重要里程碑; ...
Traditional methods often struggle to capture the nuanced variations within patient populations, leading to compromised prognostic predictions. HuLP imputes missing covariates based on imaging features, aligning more closely with clinician workflows and enhancing reliability. We conduct our experiments on two...
According to principles described herein, unsupervised statistical models, semi-supervised data models, and HITL methods are combined to create a text norm... I Beaver 被引量: 0发表: 2020年 HUMAN-IN-THE-LOOP INTERACTIVE MODEL TRAINING A method is described for training a predictive model which ...
In this Perspective, we describe methods for applying human-in-the-loop optimization to new human–robot interaction problems, addressing each key decision in a variety of contexts. We also identify opportunities to develop new optimization techniques and answer underlying scientific questions. We ...