output
20112024
most citedA Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control

67 citations

8 papers

quant-ph2024★ 7 cited

Photon statistics analysis of h-BN quantum emitters with pulsed and continuous-wave excitation

Hamidreza Akbari, Pankaj K. Jha, Kristina Malinowski +2

We report on the quantum photon statistics of hexagonal boron nitride (h-BN) quantum emitters by analyzing the Mandel Q parameter. We have measured the Mandel Q parameter for h-BN…

cs.CL2023

Deep Representations of First-person Pronouns for Prediction of Depression Symptom Severity

Xinyang Ren, Hannah A Burkhardt, Patricia A Areán +2

Prior work has shown that analyzing the use of first-person singular pronouns can provide insight into individuals' mental status, especially depression symptom severity. These fin…

cs.LG2021★ 34 cited

Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients

Joanne Zhou, Bishal Lamichhane, Dror Ben-Zeev +2

We aim to develop clustering models to obtain behavioral representations from continuous multimodal mobile sensing data towards relapse prediction tasks. The identified clusters co…

cs.LG2021★ 67 cited

A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control

Keith D. Humfeld, Dawei Gu, Geoffrey A. Butler +2

For manufacturing of aerospace composites, several parts may be processed simultaneously using convective heating in an autoclave. Due to uncertainties including tool placement, co…

cs.CL2021★ 1 cited

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach

Ashish Sharma, Inna W. Lin, Adam S. Miner +2

Online peer-to-peer support platforms enable conversations between millions of people who seek and provide mental health support. If successful, web-based mental health conversatio…

cs.MA2017★ 1 cited

Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces

Shayegan Omidshafiei, Christopher Amato, Miao Liu +3

This paper presents the first ever approach for solving \emph{continuous-observation} Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) and their semi-Marko…