Matthew S. Gerber
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View article: Sensus: A Cross-Platform, General-Purpose System for Mobile Crowdsensing in Human-Subject Studies
Sensus: A Cross-Platform, General-Purpose System for Mobile Crowdsensing in Human-Subject Studies Open
The burden of entry into mobile crowdsensing (MCS) is prohibitively high for human-subject researchers who lack a technical orientation. As a result, the benefits of MCS remain beyond the reach of research communities (e.g., psychologists)…
View article: Reward Shaping for Human Learning via Inverse Reinforcement Learning
Reward Shaping for Human Learning via Inverse Reinforcement Learning Open
Humans are spectacular reinforcement learners, constantly learning from and adjusting to experience and feedback. Unfortunately, this doesn't necessarily mean humans are fast learners. When tasks are challenging, learning can become unacce…
View article: Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning.
Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning. Open
It has been well demonstrated that inverse reinforcement learning (IRL) is an effective technique for teaching machines to perform tasks at human skill levels given human demonstrations (i.e., human to machine apprenticeship learning). Thi…
View article: Spatial crime distribution and prediction for sporting events using social media
Spatial crime distribution and prediction for sporting events using social media Open
Sporting events attract high volumes of people, which in turn leads to increased use of social media. In addition, research shows that sporting events may trigger violent behavior that can lead to crime. This study analyses the spatial rel…
View article: Use of Mental Health Apps by Patients With Breast Cancer in the United States: Pilot Pre-Post Study
Use of Mental Health Apps by Patients With Breast Cancer in the United States: Pilot Pre-Post Study Open
Background Nearly half of the patients with breast cancer experience clinically significant mental distress within the first year of receiving their cancer diagnosis. There is an urgent need to identify scalable and cost-efficient ways of …
View article: Use of Mental Health Apps by Patients With Breast Cancer in the United States: Pilot Pre-Post Study (Preprint)
Use of Mental Health Apps by Patients With Breast Cancer in the United States: Pilot Pre-Post Study (Preprint) Open
BACKGROUND Nearly half of the patients with breast cancer experience clinically significant mental distress within the first year of receiving their cancer diagnosis. There is an urgent need to identify scalable and cost-efficient ways of…
View article: The Performance of Patient-Worn Actigraphy Devices to Measure Recovery after Breast Reconstruction
The Performance of Patient-Worn Actigraphy Devices to Measure Recovery after Breast Reconstruction Open
Introduction: Annually, over 250,000 women are diagnosed with breast cancer with over one-third undergoing mastectomy and contemplating reconstruction. Surgical breast reconstructive options vary in post-operative recovery, yet with a pauc…
View article: Use of Mental Health Apps by Breast Cancer Patients and Their Caregivers in the United States: Protocol for a Pilot Pre-Post Study
Use of Mental Health Apps by Breast Cancer Patients and Their Caregivers in the United States: Protocol for a Pilot Pre-Post Study Open
DERR1-10.2196/11452.
View article: State affect recognition using smartphone sensing data
State affect recognition using smartphone sensing data Open
Momentary experiences of positive and negative emotionality--- also referred to as state affect---are core components of well-being and performance. The ability to unobtrusively monitor state affect could raise individuals' awareness of th…
View article: Use of Mental Health Apps by Breast Cancer Patients and Their Caregivers in the United States: Protocol for a Pilot Pre-Post Study (Preprint)
Use of Mental Health Apps by Breast Cancer Patients and Their Caregivers in the United States: Protocol for a Pilot Pre-Post Study (Preprint) Open
BACKGROUND Over one-third of cancer patients experience clinically significant mental distress, and distress in caregivers can exceed that of the cancer patients for whom they care. There is an urgent need to identify scalable and cost-ef…
View article: Web of Science Dataset
Web of Science Dataset Open
Copyright (c) 2017 Kamran Kowsari Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the "Dataset"), to deal in the dataset without restriction, including withou…
View article: Assessment of Circulating Tumor Cells as a Predictive Biomarker of Histology in Women With Suspected Ovarian Cancer
Assessment of Circulating Tumor Cells as a Predictive Biomarker of Histology in Women With Suspected Ovarian Cancer Open
CTCs were more prevalent in patients with metastases to the ovary than in primary ovarian carcinomas.
View article: HDLTex: Hierarchical Deep Learning for Text Classification
HDLTex: Hierarchical Deep Learning for Text Classification Open
The continually increasing number of documents produced each year\nnecessitates ever improving information processing methods for searching,\nretrieving, and organizing text. Central to these information processing\nmethods is document cla…
View article: Sensus
Sensus Open
The burden of entry into mobile crowdsensing (MCS) is prohibitively high for human-subject researchers who lack a technical orientation. As a result, the benefits of MCS remain beyond the reach of research communities (e.g., psychologists)…
View article: Model Adaptation for Personalized Opinion Analysis
Model Adaptation for Personalized Opinion Analysis Open
Mohammad Al Boni, Keira Zhou, Hongning Wang, Matthew S. Gerber. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Sh…