Matthew Vowels

Publications | Mémoires et thèses

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26 publications

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 |
Deepfake Detection in Super-Recognizers and Police Officers
Ramon Meike, Vowels Matthew, Groh Matthew, 2024/05. IEEE Security & Privacy, 22 (3) pp. 68-76. Peer-reviewed.
 
Associations between daily positive communication and sexual desire and satisfaction: an approach utilizing traditional analyses and machine learning
Leistner C. E., Vowels L. M., Vowels M. J., Mark K. P., 2023/09/13. Sexual and Relationship Therapy pp. 1-26.
Toward a causal link between attachment styles and mental health during the COVID‐19 pandemic
Vowels L. M., Vowels M. J., Carnelley K. B., Millings A., Gibson-Miller J., 2023/09. British Journal of Clinical Psychology, 62 (3) pp. 605-620.
Emotion dynamic patterns between intimate relationship partners predict their separation two years later: A machine learning approach
Hilpert Peter, Vowels Matthew R., Mestdagh Merijn, Sels Laura, 2023/07/06. PLOS ONE, 18 (7) pp. e0288048.
Misspecification and unreliable interpretations in psychology and social science.
Vowels Matthew J., 2023/06. Psychological Methods, 28 (3) pp. 507-526.
D'ya Like DAGs? A Survey on Structure Learning and Causal Discovery
Vowels Matthew J., Camgoz Necati Cihan, Bowden Richard, 2023/04/30. ACM Computing Surveys, 55 (4) pp. 1-36.
 
A Free Lunch with Influence Functions? An Empirical Evaluation of Influence Functions for Average Treatment Effect Estimation
Vowels Matthew, 2023/04/01. Transactions on Machine Learning Research (TMLR). Peer-reviewed.
 
A Machine Learning Approach to Predicting Perceived Partner Support From Relational and Individual Variables
Vowels L. M., 2023. Social Psychological and Personality Science, 14 (5) pp. 526-538. Peer-reviewed.
Prespecification of Structure for the Optimization of Data Collection and Analysis
Vowels Matthew J., 2023. Collabra: Psychology, 9 (1).
 
Spectral and cross-spectral analysis: A primer for psychologists and social scientists.
Vowels Matthew J., Vowels Laura M., Wood Nathan D., 2023. Psychological Methods, 28 (3) pp. 631-650. Peer-reviewed.
Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of Infidelity.
Vowels L.M., Vowels M.J., Mark K.P., 2022/02. Journal of sex research, 59 (2) pp. 224-237. Peer-reviewed.
Identifying the strongest self-report predictors of sexual satisfaction using machine learning
Vowels Laura M., Vowels Matthew J., Mark Kristen P., 2022/01/11. Journal of Social and Personal Relationships p. 026540752110470. Peer-reviewed.
BERT meets LIWC: Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples' Conflict Interactions
Biggiogera Jacopo, Boateng George, Hilpert Peter, Vowels Matthew, Bodenmann Guy, Neysari Mona, Nussbeck Fridtjof, Kowatsch Tobias, 2021/10/18. Companion Publication of the 2021 International Conference on Multimodal Interaction. Peer-reviewed.
 
Improving Robot Localisation by Ignoring Visual Distraction
Mendez Oscar, Vowels Matthew, Bowden Richard, 2021/09/27. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
 
Targeted VAE: Variational and Targeted Learning for Causal Inference
Vowels Matthew J., Camgoz Necati Cihan, Bowden Richard, 2021/09. 2021 IEEE International Conference on Smart Data Services (SMDS).
Uncovering the Most Important Factors for Predicting Sexual Desire Using Explainable Machine Learning
Vowels Laura M., Vowels Matthew J., Mark Kristen P., 2021/07/01. The Journal of Sexual Medicine.
 
Couple Perceptions as Mediators Between Family Economic Strain and Marital Quality: Evidence From Longitudinal Dyadic Data
Ross Donald Bruce, Gale Jerry, Wickrama Kandauda, Goetz Joseph, Vowels Matthew James, Tang Yabin, 2021/06/01. Journal of Financial Counseling and Planning, 32 (1) pp. 158-172.
 
Shadow-Mapping for Unsupervised Neural Causal Discovery
Vowels Matthew J., Camgoz Necati Cihan, Bowden Richard, 2021/06. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
 
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
Vowels Matthew J., Camgoz Necati Cihan, Bowden Richard, 2021/06. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
 
Uncovering the most important factors for predicting sexual desire using interpretable machine learning
Vowels Laura M., Vowels Matthew J., Mark Kristen P., 2021. Journal of Sexual Medicine, 18 pp. 1198-1216.
 
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement
Vowels Matthew J., Camgoz Necati Cihan, Bowden Richard, 2020/11. 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020).
 
Comparison of Pairwise Dissimilarity and Projective Mapping Tasks With Auditory Stimuli
Vowels M. J., Mason R., 2020/10/07. Journal of the Audio Engineering Society, 68 (9) pp. 638-648.
 
What can be learned from couple research: Examining emotional co-regulation processes in face-to-face interactions.
Hilpert Peter, Brick Timothy R., Flückiger Christoph, Vowels Matthew J., Ceulemans Eva, Kuppens Peter, Sels Laura, 2020/07. Journal of Counseling Psychology, 67 (4) pp. 475-487. Peer-reviewed.
 
NestedVAE: Isolating Common Factors via Weak Supervision
Vowels Matthew J., Cihan Camgoz Necati, Bowden Richard, 2020/06. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
 
The Impact of Family Economic Strain On Work-Family Conflict, Marital Support, Marital Quality, and Marital Stability During the Middle Years.
Ross D.B., Gale J., Wickrama KKAS, Goetz J., Vowels M., 2019. Journal of personal finance, 18 (2) pp. 9-24. Peer-reviewed.
 
Using spectral and cross-spectral analysis to identify patterns and synchrony in couples' sexual desire
Vowels Matthew J., Mark Kristen P., Vowels Laura M., Wood Nathan D., 2018/10/17. PLOS ONE, 13 (10) pp. e0205330.
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