M. S. Hane Aung

Orcid: 0000-0002-4376-0849

Affiliations:
  • Cornell University, Ithaca, NY, USA
  • University College London, UK


According to our database1, M. S. Hane Aung authored at least 29 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Individual Behavioral Insights in Schizophrenia: A Network Analysis and Mobile Sensing Approach.
CoRR, 2023

Understanding User Preferences for Gaining Trust, When Utilising Conversational Agents for Mental Health Data Disclosures.
Proceedings of the HCI International 2023 Posters, 2023

2020
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019
How Can Affect Be Detected and Represented in Technological Support for Physical Rehabilitation?
ACM Trans. Comput. Hum. Interact., 2019

2018
Predicting Symptom Trajectories of Schizophrenia Using Mobile Sensing.
GetMobile Mob. Comput. Commun., 2018

2017
Towards Health Recommendation Systems: An Approach for Providing Automated Personalized Health Feedback from Mobile Data.
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016
The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset.
IEEE Trans. Affect. Comput., 2016

Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain.
IEEE J. Sel. Top. Signal Process., 2016

Assessing mental health issues on college campuses: preliminary findings from a pilot study.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015
Perception and Automatic Recognition of Laughter from Whole-Body Motion: Continuous and Categorical Perspectives.
IEEE Trans. Affect. Comput., 2015

MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014
Automatic recognition of fear-avoidance behavior in chronic pain physical rehabilitation.
Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, 2014

Bi-Modal Detection of Painful Reaching for Chronic Pain Rehabilitation Systems.
Proceedings of the 16th International Conference on Multimodal Interaction, 2014

2013
Getting RID of pain-related behaviour to improve social and self perception: A technology-based perspective.
Proceedings of the 14th International Workshop on Image Analysis for Multimedia Interactive Services, 2013

Multilinear Multitask Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

MMLI: Multimodal Multiperson Corpus of Laughter in Interaction.
Proceedings of the Human Behavior Understanding - 4th International Workshop, 2013

Transfer learning to account for idiosyncrasy in face and body expressions.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

A One-Vs-One Classifier Ensemble With Majority Voting for Activity Recognition.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Laughter Type Recognition from Whole Body Motion.
Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2010
Automated nonlinear feature generation and classification of foot pressure lesions.
IEEE Trans. Inf. Technol. Biomed., 2010

Spatiotemporal Visualizations for the Measurement of Oropharyngeal Transit Time From Videofluoroscopy.
IEEE Trans. Biomed. Eng., 2010

2009
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination.
IEEE Trans. Neural Networks, 2009

Survival analysis in cancer using a partial logistic neural network model with Bayesian regularisation framework: a validation study.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009

2008
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer.
Neural Networks, 2008

External Validation of a Bayesian Neural Network Model in Survival Analysis.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Double-blind evaluation and benchmarking of survival models in a multi-centre study.
Comput. Biol. Medicine, 2007

Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy.
Proceedings of the Advances in Neural Networks, 2007

Assessing flexible models and rule extraction from censored survival data.
Proceedings of the International Joint Conference on Neural Networks, 2007


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