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Machine learning (ML) depends on data to train and verify models. Very often, organizations outsource processes related to data work (i.e., generating and annotating data and evaluating outputs) through business process outsourcing (BPO) companies and ...
Touchscreens have become the primary input devices for smartphones, tablet computers, and other intelligent devices over the past decades. While for the most pervasive commercial devices, only 2D touch positions on the screen are utilized as ...
Reinforcement learning has been widely studied for controlling Heating, Ventilation, and Air conditioning (HVAC) systems. Most of the existing works are focused on Model-Free Reinforcement Learning (MFRL), which learns an agent by extensively trial-and-...
Distributed solar energy resources (DSERs) in smart grid systems are rapidly increasing due to the steep decline in solar module prices. This DSER penetration has prompted utilities to balance the real-time supply and demand of electricity proactively. ...
Residential homes represent approximately 22 % of global energy use and a large proportion of this is due to space heating. The thermal efficiency of a building is typically evaluated manually via surveys, or via intrusive measurements requiring homes ...
Urban air pollution has been linked to various human health considerations, including cardiopulmonary diseases. Communities who suffer from poor air quality often rely on experts to identify pollution sources due to the lack of accessible tools. Taking ...
There are very few works about explaining content-based recommendations of images in the artistic domain. Current works do not provide a perspective of the many variables involved in the user perception of several aspects of the system such as domain ...
Modeling user interests helps to improve system support or refine recommendations in Interactive Information Retrieval. The aim of this study is to identify user interests in different parts of an online collection and investigate the related search ...
News editors need to find the photos that best illustrate a news piece and fulfill news-media quality standards, while being pressed to also find the most recent photos of live events. Recently, it became common to use social-media content in the ...
Online A/B testing evaluates the impact of a new technology by running it in a real production environment and testing its performance on a subset of the users of the platform. It is a well-known practice to run a preliminary offline evaluation on ...
This paper proposes a generic formulation that significantly expedites the training and deployment of image classification models, particularly under the scenarios of many image categories and high feature dimensions. As the core idea, our method ...
Emotion labeling is a central component of automatic emotion recognition. Evaluators are asked to estimate the emotion label given a set of cues, produced either by themselves (self-report label) or others (perceived label). This process is complicated ...
We present a general probabilistic framework for predicting the outcome of pairwise matchups (e.g. two-player sport matches) and pairwise preferences (e.g. product preferences), both of which have widespread applications ranging from matchmaking in ...
The Atlanta Fire Rescue Department (AFRD), like many municipal fire departments, actively works to reduce fire risk by inspecting commercial properties for potential hazards and fire code violations. However, AFRD's fire inspection practices relied on ...