Abstract Generative Artificial Intelligence is set to revolutionize healthcare delivery by
transforming traditional patient care into a more personalized, efficient, and proactive …

Residential energy consumption continues to climb steadily, requiring intelligent energy
management strategies to reduce power system pressures and residential electricity bills …

There has been a rapidly growing interest in Automatic Symptom Detection (ASD) and
Automatic Diagnosis (AD) systems in the machine learning research literature, aiming to …

Automatic diagnosis systems have attracted increasing attention in recent years. The
reinforcement learning (RL) is an attractive technique for building an automatic diagnosis …

Automatic diagnosis has attracted increasing attention but remains challenging due to multi-
step reasoning. Recent works usually address it by reinforcement learning methods …

Abstract Information Pursuit (IP) is a classical active testing algorithm for predicting an output
by sequentially and greedily querying the input in order of information gain. However, IP is …

Accurate artificial intelligence (AI) for disease diagnosis could lower healthcare workloads.
However, when time or financial resources for gathering input data are limited, as in …

Motivation Symptom-based automatic diagnostic system queries the patient's potential
symptoms through continuous interaction with the patient and makes predictions about …

This work focuses on a specific classification problem, where the information about a sample
is not readily available, but has to be acquired for a cost, and there is a per-sample budget …

In this article, we address the problem of early classification (EC) of temporal sequences
with adaptive prediction times. We frame EC as a sequential decision making problem and …