Publications*

2025

• Journal articles
  • Aafjes van Doorn, K., Cicconet, M., Cohn, J. F., & Aafjes, M. (2025). Predicting working alliance in psychotherapy: A multi-modal machine learning approach Psychotherapy Research. https://doi.org/10.1080/10503307.2024.2428702
  • Aafjes van Doorn, K., Cicconet, M., Bate, J., Cohn, J. F., & Aafjes, M. (2025). Development of an AI-based measure of therapists’ skills: A multi-modal proof of concept. Psychotherapy.
  • Auerbach, R. P., Bloom, P. A., Pagliaccio, D., Ranqing Lan, M., Galfalvy, H., Bitran, A., Durham, K., Crowley, R., Joyce W, K., Blanchard, A., Chernick, L. S., Dayan, P. S., Greenblatt, J., Kahn, L. E., Porta, G., Tse, T. C., Cohn, J. F., Morency, L.-P., Brent, D. A., & Allen, N. B. (2025). Using smartphone-derived GPS data to improve the short-term prediction of suicidal thoughts and behaviors in high-risk adolescents. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2024.56429
  • Provenza, N., Rajesh, S., Reyes, G., katlowitz, K., Pugalenthi, L., Pugalenthi, L., Bechtold, R., Diab, N., Reddy, S., Allam, A., Gandhi, A., Kabotyanski, K., Mansourian, K., Bentley, J., Altman, J., Hinduja, S., Giridharan, N., Banks, G., Shofty, B.,…Sheth, S. (2025 (in press)). High beta power in the ventrolateral prefrontal cortex indexes human approach behavior: A case study. Journal of Neuroscience. https://10.1523/JNEUROSCI.1321-24.2025
• Published Conference Proceedings and Reports

2024

• Journal articles
  • Ahn, Y. A., Ertuğrul, I. Ö., Chow, S.-M., Cohn, J. F., & Messinger, D. S. (2024). How still? Parent-infant interaction during the still-face and later infant attachment. Infant Behavior & Development. https://doi.org/10.1002/icd.2492

  • Allawala, A. B., Bijanki, K. R., Adkinson, J., Oswalt, D., Tsolaki, E., Mathew, S., Mathura, R. K., Bartoli, E., Provenza, N., Watrous, A., Xiao, J., Pirtle, V., Mocchi, M. M., Rajesh, S., Diab, N., Cohn, J. F., Borton, D. A. P., Goodman, W. K., Pouratian, N., & Sheth, S. A. (2024). Stereo-Electroencephalography–Guided Network Neuromodulation for Psychiatric Disorders: The Neurophysiology Monitoring Unit. Operative Neurosurgery.  https:/10.1227/ons.0000000000001122

  • Cariola, L. A., Sheeber, L. B., Allen, N., Bilalpur, M., Bird, T., Hinduja, S., Morency, L.P., & Cohn, J. F. (2024). Language use in depressed and non-depressed mothers and their adolescent offspring. Journal of Affective Disorders. https://10.1109/acii55700.2022.9953886

  • Hinduja, S., Darzi, A., Ertugral, I. O., Provenza, N., Gadot, R., Storch, E. A., Sheth, S., Goodman, W. K., & Cohn, J. F. (2024). Multimodal prediction of obsessive-compulsive disorder, comorbid depression, and energy of deep brain stimulation. IEEE Transactions on Affective Computing.  PMID: 39687201; PMCID: PMC11649003

  • Hinduja, S., Nourivandi, T., Cohn, J. F., & Canavan, S. (2024). Time to retire F1 binary score for action unit detection. Pattern Recognition Letters, 1-8.

  • Sheth, S. A., Shofty, B., Allawala, A., Xiao, J., Adkinson, J. A., Mathura, R. K., Pirtle, V., Myers, J., Oswalt, D., Provenza, N. R., Giridharan, N., Noecker, A. M., Banks, G. P., Gadot, R., Najera, R. A., Anand, A., Devara, E., Dang, H., Bartoli, E., . . . Pouratian, N. (2024). Stereo-EEG-guided network modulation for psychiatric disorders: Surgical considerations. Brain Stimulation, 16(6), 1792-1798.
• Published Conference Proceedings and Reports
  • Bilalpur, M., Inan, M., Zeinali, D., Cohn, J. F., & Alikhani, M. (2024). Learning to generate context-sensitive backchannel smiles for embodied AI agents with applications in mental health dialogues.  Thirty-Eighth AAAI Conference on Artificial Intelligence: Workshops, 1-11. Vancouver, Canada.
  • Ertugrul, I. O., Hinduja, S., Bilalpur, M., Messinger, D. S., & Cohn, J. F. (2024). Expanding PyAFAR: A novel privacy-preserving infant AU detector. IEEE International Conference on Automatic Face and Gesture Recognition, Istanbul, Turkey.
  • Nourivandi, T., Hinduja, S., Srivastava, S., Cohn, J.F., & Canavan, S. (2024). Mitigating class imbalance for facial expression recognition using SMOTE on deep features. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognitiion, 1-5.
  • Wortwein, T., Allen, N. B., Cohn, J. F., & Morency, L.P. (2024). SMURF: Statistical modality uniqueness and redundancy factorization. Proceedings of the ACM International Conference on Multimodal Interaction, 26.

2023

• Journal articles
  • Ahn, A., Chow, S.-M., Ertugrul, I. O., Cohn, J. F., & Messinger, D. (2023). Automated measurement of infant and mother Duchenne facial expressions in the Face-to-Face/Still-Face. Infancy, 28(5), 910-929. 
  • Alghowinem, S., Gedeon, T., Goecke, R., Cohn, J.F., & Parker, G. (2023). Depression detection model interpretation via feature selection methods. IEEE Transactions on Affective Computing, 14(3) 133-152.
  • Auerbach, R. P., Lan, R., Galfalvy, H., Alqueza, K., Cohn, J. F., Crowley, R., Durham, K., Good, K., Kahn, L., Kamath, R., Morency, L.P., Porta, G., Zelazny, J., Brent, D. A., & Allen, N. B. (2023). Intensive longitudinal assessment of adolescents to predict suicidal thoughts and behaviors. Journal of the American Academy of Child And Adolescent Psychiatry.
  • Demchenko, I., Desai, N., Iwasa, S. N., Nezhad, F. G., Zariffa, J., Kennedy, S. H., Rule, N. O., Cohn, J. F., Popovic, M. R., Mulsant, B. H., & Bhat, V. (2023). Manipulating facial musculature with functional electrical stimulation as an intervention for major depressive disorder: A focused search of literature for a proposal. Journal of NeuroEngineering and Rehabilitation, 20(64). 
  • Li, X., Zhang, Z., Zhang, X., Wang, T., Li, Z., Yang, H., Ciftci, U., Ji, Q., Cohn, J. F., & Yin, L. (2023). Disagreement matters: Exploring internal diversification for redundant attention in generic facial action analysis. IEEE Transactions on Affective Computing.
  • Swartz, H. A., Bylsma, L. M., Fournier, J. C., Cohn, J. F., Girard, J. M., Spotts, C., & Morency, L.P. (2023). Randomized trial of brief interpersonal psychotherapy and cognitive behavioral therapy for depression delivered both in-person and by telehealth. Journal of Affective Disorders.
• Published Conference Proceedings and Reports
  • Bilalpur, M., Cariola, L., Hinduja, S., Sheeber, L., Allen, N. B., Morency, L.-P., & Cohn, J. F. (2023). SHAP-based prediction of mother’s history of depression to understand the influence on child behavior. Proceedings of the ACM International Conference on Multimodal Interaction, Paris, France.
  • Bilalpur, M., Hinduja, S., Cariola, L., Sheeber, L., Allen, N., Morency, L.P., Jeni, L. A., & Cohn, J. F. (2023). Detecting history of depression in mother-adolescent child interaction from multimodal feature selection. IEEE International Conference on Automatic Face and Gesture Recognition, Waikoloa, HI.
  • Hinduja, S., Ertugrul, I.O., & Cohn, J.F. (2023). PyAFAR: Python-based automated facial action recognition for use in infants and adults.  Demo. Proceedings Affective Computing and Intelligent Interaction, Boston, MA.
  • Ning, M., Ertugrul, I. O., Messinger, D., Cohn, J. F., & Salah, A. A. (2023). Automated emotional valence estimation in infants with stochastic and strided temporal sampling. Proceedings, Affective Computing & Intelligent Interaction, Boston, MA.
  • Vail, A., Girard, J. M., Bylsma, L. M., Fournier, J. P., Swartz, H., Cohn, J. F., & Morency, L.-P. (2023). Representation learning for interpersonal and multimodal behavior dynamics: A multiview extension of latent change score models. ACM International Conference for Multimodal Interaction, Paris, France.
  • Wortwein, T., Allen, N. B., Sheeber, L., Auerbach, R. P., Coh, J. F., & Morency, L.-P. (2023). Neural mixed effects for nonlinear personalized predictions. ACM International Conference on Multimodal Interaction, Paris, France.

2022

• Journal articles
  • Ertugrul, I. O., Ahn, Y. A., Bilalpur, M., Messinger, D. S., Speltz, M. L., & Cohn, J. F. (2022). Infant AFAR: Automated facial action recognition in infants. Behavior Research Methods.
  • Niinuma, K., Ertugrul, I. O., Cohn, J. F., & Jeni, L. A. (2022). Facial expression manipulation for personalized facial action estimation. Frontiers in Signal Processing. 
  • Sheth, S., Bijanki, K., Metzger, B., Allawala, A., Pirtle, V., Adkinson, J., Myers, J., Mathura, R., Oswalt, D., Tsolaki, E., Xiao, J., Noecker, A., Strutt, A., Cohn, J. F., McIntyre, C., Mathew, S., Borton, D., Goodman, W., & Pouratian, N. (2022). Deep brain stimulation for depression informed by intracranial recordings. Biological Psychiatry, 92, 246-251.
• Published Conference Proceedings and Reports  

• Published Abstracts
  • Ahn, Y.A., Onal Itrugrul, I., Chow, S.M., Cohn, J.F., & Messinger, D.S. (2022), Automated measurement of infant and mother duchenne facial expressions in the Face-to-Face/Still-Face. In New Direction in Face-to-Face Communication, International Conference on Infant Studies. Ottawa.
  • Cicconet, M., Jones, J., Barone, B., Kellogg, L., Aafjes-van Doorn, K., Cohn, J.F., & Aafjes, M. (February 2022). Depression ClinRO inference using momentary multimodal behavioral and physiological digital biomarkers from decentralized data collection. International Society Conference for CNS Clinical Trials and Methodology, Washington, DC.  Distinguished Paper Awardee.
  • Cohn, J.F. (March 2022). Behavioral outputs of brain activity. NIH Brain Behavior Quantification and Synchronization Workshop. 
  • Darzi, A., Hinduja, S., Provenza, N. R., Jeni, L. A., Borton, D. A., Gadot, R., Sheth, S. A., Goodman, W. K., & Cohn, J. F. (June 2022). Behavioral biomarkers of OCD symptom severity and DBS energy. 8th Annual BRAIN Investigator’s Meeting, Washington, DC.
  • Jones, J., Aafjes-van Doorn, K., Cohn, J. F., & Aafjes, M. (October 2022). Real-time AI-rater monitoring to improve CLINROs (clinician reported outcomes). International Conference on CNS Clinical Trials and Methodology, Boston.

2021

• Journal articles
  • Allawala, A. B., Bijanki, K. R., Goodman, W., Cohn, J. F., Viswanathan, A., Yoshor, D., Borton, D. A., Pouratian, N., & Sheth, S. A. (2021). A novel framework for network-targeted neuropsychiatric deep brain stimulation. Neurosurgery.
  • Niinuma, K., Jeni, L. A., Ertugrul, I. O., & Cohn, J. F. (2021). Systematic evaluation of design choices for deep facial action coding across pose. Frontiers in Computer Science. 
  • Provenza, N. R., Sheth, S. A., Rijn, E. M. D.-v., Mathura, R. K., Ding, Y., Vogt, G. S., Avendano-Ortega, M., Ramakrishnan, N., Peled, N., Gelin, L. F. F., Xing, D., Jeni, L. A., Ertugrul, I. O., Barrios-Anderson, A., Matteson, E., Wiese, A. D., Xu, J., Viswanathan, A., Bijanki, K., Storch, E. A., Cohn, J. F., Goodman, W. K., & Borton, D. A. (2021). Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in Obsessive-Compulsive Disorder. Nature Medicine.
• Published Conference Proceedings and Reports
  • Darzi, A., Provenza, N. R., Jeni, L. A., Borton, D. A., Sheth, S. A., Goodman, W. K., & Cohn, J. F. (2021). Facial action units and head dynamics in longitudinal interviews reveal OCD. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, 1-6.
  • Niinuma, K., Jeni, L. A., Erturgrul, I. O., & Cohn, J. F. (2021). Synthetic expressions are better than real for learning to detect facial actions. Proceedings of the IEEE WACV 2021: Workshop on Applications of Computer Vision, Waikoloa, Hawaii.
  • Rudovic, O., Tobis, N., Kaltwang, S., Schuller, B., Rueckert, D., Cohn, J. F., & Picard, R. W. (2021). Personalized federated deep learning for pain estimation from face images. ArXiv 2101.04800.
  • Vail, A. K., Girard, J., Bylsma, L., Cohn, J. F., Fournier, J., Swartz, H., & Morency, L.-P. (2021). Goals, tasks, and bonds: Toward the computational assessment of therapist versus client perception of working alliance. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, 1-8.
  • Wortwein, T., Sheeber, L. B., Allen, N., Cohn, J. F., & Morency, L.-P. (2021). Human-guided modality importance for affective states ACM International Conference on Multimodal Interaction, Montreal.
• Published Abstracts
  • Ahn, Y. A., Ertugrul, I. O., Chow, S.-M., Cohn, J. F., & Messinger, D. S. (2021). Is mother-infant face-to-face responsivity affective? Society for Affective Science, Virtual.
  • Bylsma, L.M., Swartz, H.A., Fournier, J.C., Morency, L., Girard, J.M., Cohn, J.F. (2021). Feasibility and Acceptability of IPT-B and Brief CBT for Depression Delivered In-Person and via Telehealth. In H.A. Swartz (chair), Evidence-Based Approaches to Teletherapy: What Do We Know About Remote Delivery of IPT and Related Therapies? Symposium to be presented virtually at the Biennial Conference of the International Society of Interpersonal Psychotherapy (ISIPT).
  • Elliott, B. T., Girard, J. M., Bylsma, L. M., Cohn, J. F., Fournier, J. C., Morency, L.-P., & Swartz, H. A. (2021). Observing changes in pathological personality traits and interpersonal problems over the course of brief psychotherapy for depression. Poster presented at the 24th Annual Meeting of the Society for Interpersonal Theory and Research.           
  • Johnson, E. N., Elliott, B. T., Girard, J. M., Bylsma, L. M., Cohn, J. F., Fournier, J. C., Morency, L.-P., & Swartz, H. A. (2021). Predicting working alliance during depression psychotherapy treatment from personality and interpersonal style. Poster presented at the 24th Annual Meeting of the Society for Interpersonal Theory and Research.
  • Sheth, S. A., Bijanki, K. R., Metzger, B., Allawala, A., Pirtle, V., Adkinson, J. A., Myers, J., Mathura, R. K., Oswalt, D., Tsolaki, E., Xiao, J., Noecker, A., Cohn, J. F., McIntyre, C. C., Mathew, S. J., Borton, D., Goodman, W., & Pouratian, N. (2021). Deep brain stimulation for treatment-resistant depression informed by intracranial sEEG UH3 NS103549 Brain Initiative, Virtual.
  • Yeojin Ahn, Martin, K., Prince, E., Chow, S.-M., Cohn, J., Wang, J., . . . Messinger, D. (2021). Not-so-still interaction: Parent-infant interaction during the still-face and later infant attachment. Society for Research in Child Development.

2020

• Journal articles
  • Ertuğrul, I. Ö., Cohn, J. F., Jeni, L. A., Zhang, Z., Yin, L., & Ji, Q. (2020). Crossing domains for AU Coding: Perspectives, approaches, and measures. IEEE Transactions on Biometrics, Behavior, and Identity Science.
  • Chen, M., Chow, S.-M., Hammal, Z., Messinger, D. S., & Cohn, J. F. (2020). A person- and time-varying autoregressive model to capture interactive infant-mother head movement dynamics. Multivariate Behavioral Research.
  • Girard, J. M., Cohn, J. F., Yin, L., & Morency, L.P. (2020). Reconsidering the Duchenne smile: Examining the relationships between the Duchenne marker, smile intensity, and positive emotion. Affective Science.
  • Goodman, W. K., Storch, E. A., Cohn, J. F., & Sheth, S. A. (2020). Deep brain stimulation for intractable obsessive-compulsive disorder: Progress and opportunities. American Journal of Psychiatry.
• Published Conference Proceedings and Reports

  • Ding, Y., Ertugrul, I. O., Jeni, L., Provenza, N. R., Cohn, J. F., Borton, D., & Goodman, W. (2020). Automated Detection of Optimal DBS Device Settings. Companion Publication of the 2020 International Conference on Multimodal Interaction.

  • Hurst, N., Baynes, R., Mitroff, D., Clabaugh, C., Cohn, J., & Scherer, S. (2020). Social and emotional skills training with embodied moxie. arXiv preprint arXiv:2004.12962v1 [cs.RO], 1-16. https://arxiv.org/abs/2004.12962

• Chapters
  • Girard, J. M., & Cohn, J. F. (2020). Afterword: Generalizability of automated AU detection. In P. Ekman & E. Rosenberg (Eds.), What the face reveals (3rd ed.). NY: Oxford.
  • Girard, J. M., & Cohn, J. F. (2020). Afterword:  Automated Analysis of Depressed Behavior. In P. Ekman & E. Rosenberg (Eds.), What the face reveals (3rd ed.). NY: Oxford.
  • Girard, J.M. & Cohn, J.F. Jeni, L.A., Sayette, M.A., & De la Torre, F. (2020). Spontaneous facial expression in unscripted social interactions can be measured automatically.  In P. Ekman & E. Rosenberg (Eds.), What the face reveals (3rd ed.). NY: Oxford.
  • Schmidt, K.L., Cohn, J.F., & Tian, T. (2020). Signal characteristics of spontaneous facial expressions: Automatic movement in solitary and social smiles.  In P. Ekman & E. Rosenberg (Eds.), What the face reveals (3rd ed.). NY: Oxford.

2019

• Journal articles
  • Chu, W-S., Cohn, J. F., & Torre, F. D. (2019). Learning facial action units with spatiotemporal cues and multi- label sampling. Image and Vision Computing, 81, 1-14. pdf
  • Hammal, Z., Wallace, E., Speltz, M. L., Heike, C. L., Birgfeld, C. B., & Cohn, J. F. (2019). Dynamics of face and head movement in infants with and without craniofacial microsomia. Plastic and Reconstructive Surgery Global Open, 7(1) p e2081.
  • Ertugral, I. O., Yang, L., Jeni, L. A., & Cohn, J. F. (2019). D-PAttNet: Dynamic patch-attentive deep network for action unit detection. Frontiers in Computer Science.
  • Provenza, N. R., Matteson, E. R., Allawala, A. B., Barrios-Anderson, A., Sheth, S. A., Viswanathan, A., McIngvale, E., Storch, E. A., Frank, M. J., McLaughlin, N.C.R., Cohn, J.F., Goodman, W.K., & Borton, D. A. (2019). The case for responsive neuromodulation to treat severe intractable mental disorders. Frontiers in Neuroscience: Neuroprosthetics.
• Published Conference Proceedings
  • Pillai, R. K., Jeni, L. A., Yang, H., Zhang, Z., Yin, L., & Cohn, J. F. (2019). 2nd 3D Face Alignment in the Wild Challenge (3DFAW-Video): Dense reconstruction from video. Proceedings of the International Conference on Computer Vision, Seoul, Korea.
  • Bhatia, S., Hammal, Z., Cohn, J. F., & Goecke, R. (2019). Automated measurement of head movement synchrony during dyadic depression severity interviews. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, Lille, France,  1-8.
  • Du, W., Morency, L.-P., Cohn, J. F., & Black, A. W. (in press). Bag-of-acoustic-words for mental health assessment: A deep autoencoding approach. Proceedings of Interspeech, Graz, Austria,  1-8.
  • Ertugrul, I. O., Cohn, J. F., Jeni, L., Zhang, X., Ji, Q., & Yin, L. (in press). Cross-domain AU detection: domains, learning approaches, and measures. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition,  1-8.
  • Ertugral, I. O., Jeni, L. A., & Cohn, J. F. (2019). PAttNet: Patch-attentive deep network for action unit detection. Proceedings of the British Machine Vision Conference, 1-13.
  • Erturgrul, I. O., Jeni, L. A., Ding, W., & Cohn, J. F. (2019). AFAR: A Deep learning based tool for automated facial affect recognition. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, Lille, France.
  • Girard, J.M., Gayatri, S., Zhun, L., Cohn, J.F., Yin, L., & Morency, L.P. (2019). Reconsidering the Duchenne Smile: An observational investigation of the prototypical expression of positive emotion. International Conference on Affective Computing and Intelligent Interaction. Cambridge, UK, 1-8.
  • Ogihara, M., Ren, G., Martin, K. B., Cohn, J. F., Cassell, J., Hammal, Z., & Messinger, D. S. (2019). Categorical timeline allocation for diagnostic head movement tracking feature analysis. Proceedings of the IEEE CVPR Workshop: Face and Gesture Analysis for Human Bioinformatics, Long Beach, CA.
  • Niinuma, K., Jeni, L.A., & Ertugrul, I. O., & Cohn, J. F. (in press). Unmasking the devil in the details: What works for deep facial action coding? Proceedings of the British Machine Vision Conference, 1-12.
  • Pillai, R. K., Jeni, L. A., Yang, H., Zhang, Z., Yin, L., & Cohn, J. F. (2019). The 2nd3D Face Alignment in the Wild Challenge (3DFAW-Video): Dense reconstruction from video. Proceedings of the International Conference on Computer Vision, 1-8. Seoul, Korea.
  • Schulc, A., Cohn, J. F., Shen, J., & Pantic, M. (2019). Automatic measurement of visual attention to video content using deep learning. Proceedings of the International Conference on Machine Vision Applications, Tokyo, Japan.
  • Yang, L., Ertugrul, I.O., Cohn, J.F., Hammal, Z., Jiang, D., & Sahli, H. (2019). FACS3D-Net: 3D convolution based spatiotemporal representation for action unit detection. International Conference on Affective Computing and Intelligent Interaction. Cambridge, UK, 1-8.
• Chapters
  • Cohn, J. F., Onal, I., Girard, J. M., Jeni, L. A., & Hammal, Z. (2019). Affective facial computing: Generalizability across domains. In X. Alameda-Pineda, E. Ricci & N. Sebe (Eds.), Multi-modal behavioral analysis in the wild: Advances and challenges.NY, (pp. 407-442). NY: Elsevier.
  • Cohn, J. F., Cummins, N., Epps, J., Goecke, R., Joshi, J., & Scherer, S. (2019). Multimodal assessment of depression and related disorders based on behavioral signals. In Handbook of multi-modal multi-sensor interfaces:  Signal processing, architectures, and detection of emotion and cognition (Vol. 2, pp. 375-418). Morgan and Claypool. https://doi.org/10.1145/3015783

2018

•  Journal articles
  • Dibeklioglu, H., Hammal, Z., & Cohn, J. F. (2018). Dynamic multimodal measurement of depression severity using deep autoencoding. IEEE Journal of Biomedical and Health Informatics, 22(2), 525-536.
  • Escalera, S., Baro, X., Guyon, I., Escalante, H.J., Tzimiropoulos, G., Valstar, M., Pantic, M., Cohn, J.F., & Kanade, T. (2018, in press). Guest editorial: The computational face. IEEE Transactions on Pattern Analysis and Machine Learning, X(x), xxx-xxx.
  • Hammal, Z., Cohn, J. F., Wallace, E. R., Heike, C. L., Birgfeld, C. B., Oster, H., & Speltz, M. L. (2018). Facial expressiveness in infants with and without craniofacial microsomia: Preliminary findings.  Cleft Palate-Craniofacial Journal.
  • Martin, K. B., Hammal, Z., Ren, G., Cohn, J. F., Cassell, J., Ogihara, M., . . . Messinger, D. S. (2018). Objective measurement of head movement differences in children with and without autism spectrum disorder. Molecular Autism, 9(14).
• Published Conference Proceedings

  • Cohn, J. F., Jeni, L., Onal, I., Malone, D., Okun, M., Borton, D., & Goodman, W. (2018). Automated multimodal measurement of behavioral response to deep brain stimulation in obsessive-compulsive disorder: A pilot study. Proceedings of the ACM International Conference on Multimodal Interfaces, Boulder, CO.

  • Ertugrul, I.O., Jeni, L.A., & Cohn, J.F. (2018). FACSCaps: Pose-independent facial action coding with capsules. 8th IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), pp. 1-10. Salt Lake City, NV.

  • Kacem, A., Hammal, Z., Cohn, J.F. & Daoudi, M.  (2018). Detecting depression severity by interpretable representations of motion dynamics.  IEEE International Conference on Automatic Face and Gesture Recognition, Xi’an, China.
• Chapters
  • Cohn, J. F., Goecke, R., Scherer, S., & Cummins, N. (2018). Multimodal assessment of depression and related disorders based on behavioral signals.  In S. Oviatt, B. Schuller, P. Cohen, D. Sonntag, S. Brewster, A. Krueger & G. Potamianos (Eds.), Handbook of multimodal-multisensor interfaces (2: pp. 375-418).New York, NY: ACM.
  • Hammal, Z., & Cohn, J. F. (2018). Automatic, objective, and efficient measurement of pain using automated face analysis. In T. Vervoort, K. Karos, Z. Trost, & K. Prkachin (Eds.), Social and interpersonal processes in pain.  (pp. 121-146).  Springer.

2017 

•    Journal articles 
  •  Chu, W.S., De la Torre, F., Cohn, J. F., & Messinger, D. S. (2017). A branch-and-bound framework for unsupervised common event discovery. International Journal of Computer Vision.
  • Chu, W.S., De la Torre, F., & Cohn, J.F. (2017). Selective transfer machine for personalized facial expression analysis. IEEE Transactions on Pattern Recognition and Machine Intelligence, 39(3), 529-545. DOI:10.1109/TPAMI.2016.2547397
  • Tulyakov, S., Jeni, L. A., Sebe, N., & Cohn, J. F. (2017, in press). Viewpoint-consistent 3D face alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence.
  • Szirtes, G., Orozco, J., Petras, I., Szolgay, D., Utasi, A., & Cohn, J. F. (In press). Behavioral cues help predict impact of advertising on future sales. Image and Vision Computing.
•     Published conference proceedings
  • Chu, W.S., De la Torre, F., & Cohn, J. F. (In press) Learning spatial and temporal cues for multi-label facial action unit detection. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, Washington, DC.
  • Girard, J. M., Chu, W.-S., Jeni, L. A., Cohn, J. F., De la Torre, F., & Sayette, M. A. (In press). Sayette Group Formation Task (GFT) spontaneous facial expression database. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition.
  • Hammal, Z., Chu, W-S., Cohn, J.F., Heike, C. L., & Speltz, M. L. (2017). Automatic AU detection in infants using convolutional neural network. Proceedings of the International Conference on Affective Computing and Intelligent Interaction, San Antonio, TX.
  • Valstar, M. F., Sanchez-Lozano, E., Cohn, J. F., Jeni, L. A., Girard, J. M., Zhang, Z., Yin, L., & Pantic, M. (2017). FERA 2017 – Addressing head pose in the third Facial Expression Recognition and Analysis Challenge. Proceedings of the International Conference on Automatic Face and Gesture Recognition, Washington, DC.

  2016

•     Journal articles
  • Corneanu, C., Oliu, M., Cohn, J. F., & Escalera, S. (2016). Survey on RGB, thermal, and multimodal approaches for facial expression analysis: History, trends, and affect-related applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(8), 1548 – 1568.
  • Ding, X., Chu, W.S., De la Torre, F., & Cohn, J. F. (2016). Facial action unit event detection by cascade of tasks. Image and Vision Computing Journal.
  • Girard, J.M. & Cohn, J.F. (2016). A primer on observational measurement. Assessment, 23(4). 404-413.
  • Jeni, L. A., Cohn, J. F., & Kanade, T. (2016). Dense 3d face alignment from 2d videos in real-time. Computer Vision and Image Understanding, 58, 13-24. pdf
  • Zafeirioud, S., Zhao, G., Kotsia, I., Pietikainen, M., Cohn, J., & Chellappa, R. (2016). Editorial of special issue on spontaneous facial behaviour analysis. Computer Vision and Image Understanding, (147), 50-51.
  • Zeng, J., Chu, W.-S., De la Torre, F., Cohn, J. F., & Xiong, Z. (2016). Confidence preserving machine for facial action unit detection. IEEE Transactions on Image Processing.
  • Zhao, K., Chu, W.-S., Torre, F. D. l., Cohn, J. F., & Zhang, H. (2016). Joint patch and multi-label learning for facial action unit detection. IEEE Transactions on Image Processing, 25(8), 3931-3946.
•    Published conference proceedings
  • Alghowinem, S., Goecke, R., Epps, J., Wagner, M., & Cohn, J. F. (2016). Cross-cultural depression recognition from vocal biomarkers. Interspeech, 1-5, San Francisco, CA.
  • Chetouani, M., Cohn, J. F., & Salah, A. A. (2016). Seventh International Workshop on Human Behavior Understanding. Proceedings of the ACM International Conference on Multimedia, Amsterdam, The Netherlands.
  • Corneanu, C., Simon, M., O., Jeni, L.A., Cohn, J.F., & Escalera, S. (2016). Continuous supervised descent method for facial landmark localization. Asian Conference on Computer Vision, Taipei, Taiwan.
  • Jeni, L., & Cohn, J. F. (2016). Person-independent 3d gaze estimation using face frontalization. Proceedings of the ChaLearn Looking at People and Faces of the World: Face Analysis CVPR Workshop and Challenge 2016, Las Vegas, NV.
  • Jeni, L.A., Tulyakov, S., Yin, L., Sebe, N., & Cohn, J. F. (2016). First 3d face alignment in the wild (3DFAW) challenge. Proceedings of the European Conference on Computer Vision Workshops, Amsterdam, the Netherlands.
  • Toser, Z., Jeni, L. A., Lorincz, A., & Cohn, J. F. (2016). Deep learning for facial action unit detection under large head poses. Proceedings of the European Conference on Computer Vision ChaLearn Workshop, Amsterdam, the Netherlands.
  • Tulyakov, S., Alameda-Pineda, X., Ricci, E., Yin, L., Cohn, J. F., & Sebe, N. (2016). Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions. Proceedings of the IEEE International Conference on Computer Vision, Las Vegas, Nevada.
  • Walecki, R., Rudovic, O., Pantic, M., Pavlovic, V., & Cohn, J. F. (2016). A framework for joint estimation and guided annotation of facial action unit intensity. Proceedings of the CBAR 2016 CFP: 4th International Workshop on Context Based Affect Recognition, Las Vegas, NV.
  • Zhang, X., Yin, L., Cohn, J. F., & Girard, J. M. (2016). Multimodal spontaneous human emotion corpus for human behavior analysis. Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Las Vegas, NV.
•    Chapters
  • Chetouani, M., Cohn, J., & Salah, A. A. (Eds.). (2016). Human behavior understanding: Proceedings of the 7th International Workshop, HBU 2016, Amsterdam, The Netherlands (Vol. 9997): Springer International.

2015

•    Journal articles
  • Cohn, Jeffrey F., & De la Torre, Fernando. (2015). Automated face analysis for affective computing. In R. A. Calvo, S. K. D’Mello, J. Gratch & A. Kappas (Eds.), Handbook of affective computing (pp. 131-150). New York, NY: Oxford.
  • Fairbairn, C. E., Sayette, M. A., Amole, M., Dimoff, J. D., & Cohn, J. F. (2015). Speech Volume Indexes Gender Differences in the Social-Emotional Effects of Alcohol. Experimental and Clinical Psychopharmacology, 23(4), 255. doi: 10.1037/pha0000021. PMCID: PMC4555987
  • Fairbairn, C. E., Sayette, M. A., Wright, A. G. C., Levine, J. M., & Cohn, J. F. (2015). Extraversion and the rewarding effects of alcohol in a social context. Journal of Abnormal Psychology, 124(3), 660. PMCID: PMC4595151
  • Girard, J. M., & Cohn, J.F. (2015). Automated audiovisual depression analysis. Current Opinion in Psychology, 4, 75-79. doi:10.1016/j.copsyc.2014.12.010 PMCID: PMC4539261
  • Girard, J. M., Cohn, J. F., & De la Torre, F. (2014). Estimating smile intensity: A better way. Pattern Recognition Letters, 66, 13-21. doi:10.1016/j.patrec.2014.10.004.
  • Girard, J. M., Cohn, J. F., Sayette, M. A., Jeni, L., & De la Torre, F. (2014). Spontaneous facial expression in unscripted interactions can be measured automatically. Behavior Research Methods, 47(4), 1136-1147. Doi:10.3758/s13428-014-0536-1. PMID: 25488104
  • Hammal, Z., Cohn, J. F., Heike, C., & Speltz, M. L. (2015). Automatic measurement of head and facial movement for analysis and detection of infant positive and negative affect. Frontiers in ICT, 2, 21.
  • Hammal, Z., Cohn, J. F., & Messinger, D. S. (2015). Head movement dynamics during play and perturbed mother-infant interaction. IEEE Transactions on Affective Computing, 6(4), 361-370.
  • Vinciarelli, A., Esposito, A., André, E., Bonin, F., Chetouani, M., Cohn, J. F., … & Heylen, D. (2015). Open challenges in modeling, analysis and synthesis of human behavior in human-human and human-machine interactions. Cognitive Computation, 7(4), 397-413.
•    Published conference proceedings
  • Alghowinem, S., Goecke, R., Cohn, J. F., Wagner, M., Parker, G., & Breakspear, M. (2015). Cross-cultural detection of depression from nonverbal behavior. Proceedings of the IEEE International Conference on Automatic Face and Gesture Detection, Ljubljana, Slovenia.
  • Chu, W.S., Zeng, J., De la Torre, F., Cohn, J. F., & Messinger, D. S. (2015). Unsupervised synchrony discovery in human interaction. Proceedings of the IEEE International Conference on Computer Vision, Santiago, Chile.
  • De la Torre, F., Chu, W.S., Xiong, X., Vicentey, F., Dingy, X., & Cohn, J. F. (2015). IntraFace. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, Slovenia.
  • Dibeklioglu, H., Hammal, Z., Yang, Y., & Cohn, J. F. (2015). Multimodal detection of depression in clinical interviews. Proceedings of the ACM International Conference on Multimodal Interaction, Seattle, Washington.
  • Girard, J. M., Cohn, J. F., Sayette, M. A., Jeni, L. A., & De la Torre, F. (2015). How much training data for facial action unit detection? Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, Ljubljana, Slovenia.
  • Hammal, Z., Cohn, J.F., Heike, C. & Speltz, M.L. (2015). What can head and facial movements convey about positive and negative affect? Proceedings of the International Conference on Affective Computing. Xian, China, 2015.
  • Jeni, L. A., Cohn, J. F., & Kanade, T. (2015). Dense 3D face alignment from 2d videos in real-time. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, Ljubljana, Slovenia.  FG2015 Best Paper Award
  • Trutoiu, Pollard, N., Cohn, J.F., & Hodgins, J. (2015). Data-driven model for spontaneous smiles. Computer Animation and Social Agents, Proceedings of the 28th Annual Conference on Computer Animation and Social Agents, Singapore.
  • Valstar, M. F., Almaev, T., Girard, J. M., McKeown, G., Mehu, M., Yin, L., . . . Cohn, J. F. (2015). FERA 2015 – Second facial expression recognition and analysis challenge. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, Ljubljana, Slovenia.
  • Zeng, J., Chu, W.S., Cohn, J. F., & De la Torre, F. (2015). Confidence preserving machine for facial action unit detection. Proceedings of the IEEE International Conference on Computer Vision, Santiago, Chile.
  • Zhang, X., Yin, L., & Cohn, J. F. (2015). Three dimensional binary edge feature representation for pain expression analysis. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, Ljubljana, Slovenia.
  • Zhao, K., Chu, W.-S., Torre, F. D. l., Cohn, J. F., & Zhang, H. (2015). Joint patch and multi-label learning for facial action unit detection. Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Boston, MA.
•    Chapters
  • Chow, S-M., Lu, O. , Cohn, J. F., & S., Messinger D. (2015). Representing self-organization and non-stationarities in dyadic [s1] interaction processes using dynamic systems modeling techniques. In A. Von Davier & P. Kyllonen (Eds.), Innovative Assessment of Collaboration.
  • Cohn, Jeffrey F., & De la Torre, Fernando. (2015). Automated face analysis for affective computing. In R. A. Calvo, S. K. D’Mello, J. Gratch & A. Kappas (Eds.), Handbook of affective computing (pp. 131-150). New York, NY: Oxford.

2014

•    Journal articles
  • Girard, J. M., Cohn, J. F., Mahoor, M. H., Mavadati, S. M., Hammal, Z., & Rosenwald, D. P. (2014). Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses. Image and Vision Computing, 32(10), 641-647.
  • Hammal, Z., Cohn, J. F., & George, D. T. (2014). Interpersonal Coordination of HeadMotion in Distressed Couples. IEEE Transactions on Affective Computing, 5(2), 155-167.
  • McDuff, D., El Kaliouby, R., Cohn, J. F., & Picard, R. W. (2015). Predicting ad liking and purchase intent: Large-scale analysis of facial responses to ads. IEEE Transactions on Affective Computing, 6(3), 223-235.
  • Messinger, D. S., Mahoor, M., Chow, S. M., Haltigan, J. D., Cadavid, S., & Cohn, J. F. (2014). Early emotional communication: Novel approaches to interaction. In J. Gratch & S. Marsella (Eds.), Social emotions in nature and artifact: Emotions in human and human-computer interaction, pp. 162-180. NY: Oxford.
  • Trutoiu, L. C., Carter, E. J., Pollard, N., Cohn, J. F., & Hodgins, J. K. (2014). Spatial and temporal linearities in posed and spontaneous smiles. ACM Transactions on Applied Perception, 11(3), 12.
  • Zhang, X., Yin, L., Cohn, J. F., Canavan, S., Reale, M., Horowitz, A., … & Girard, J. M. (2014). Bp4d-spontaneous: A high-resolution spontaneous 3d dynamic facial expression database. Image and Vision Computing, 32(10), 692-706.
• Published conference proceedings
  • Hammal, Z. & Cohn, J.F. (2014). Intra- and interpersonal functions of head motion in emotion communication. Proceedings of the 2014 Workshop on Road-mapping the Future of Multimodal Interaction Research including Business Opportunities and Challenges. Istanbul, Turkey.
  • Hammal, Z. & Cohn, J.F. (2014). Towards multimodal pain assessment for research and clinical use. Proceedings of the 2014 Workshop on Road-mapping the Future of Multimodal Interaction Research including Business Opportunities and Challenges. Istanbul, Turkey.
  • Jeni, L., Andras, L., Zoltan, S., Cohn, J. F., & Kanade, T. (2014). Spatio-temporal event classification using time-series kernel based structured sparsity. Proceedings of the IEEE European Conference on Computer Vision, Zurich, Switzerland.
  • Scherer, S., Hammal, Z., Yang, Y., Morency, L.-P., & Cohn, J. F. (2014). Dyadic behavior analysis in depression severity assessment interviews. Proceedings of the ACM International Conference on Multimodal Interaction, Istanbul, Turkey.
  • Trutoiu, L., Carter, E., Pollard, N., Cohn, J. F., & Hodgins, J. (2014). Spatial and temporal linearities in posed and spontaneous smiles. Proceedings of the ACM Symposium on Applied Perception, Vancouver, Canada.
  • Zaker, N., Mahoor, M. H., Messinger, D. S., & Cohn, J. F. (2014). Jointly detecting infants’ multiple facial action units expressed during spontaneous face-to-face communication. Proceedings of the International Conference on Image Processing, Paris, France.
•    Chapters
  • Burrows, A., & Cohn, J. F. (2014). Comparative anatomy of the face. In S. Z. Li (Ed.), Handbook of biometrics (2nd ed.), (pp. 1-10). Berlin Heidelberg: Springer.
  • Messinger, D. S., Mahoor, M., Chow, S. M., Haltigan, J. D., Cadavid, S., & Cohn, J. F. (2014). Early emotional communication: Novel approaches to interaction. In J. Gratch & S. Marsella (Eds.), Social emotions in nature and artifact: Emotions in human and human-computer interaction, pp. 162-180. NY: Oxford.

2013

•    Journal articles
  • Fairbairn, C. E., Sayette, M., Creswell, K. G., Cohn, J. F., & Levine, J. M. (2013). The effects of alcohol on the emotional displays of Whites in interracial groups. Emotion, 13(3), 468-477. PMID: 23356562
  • Mattson, W. I., Cohn, J. F., Mohammad, M. H., & Messinger, D. S. (2013). Darwin’s Duchenne: Eye constriction during infant joy and distress. PLOS ONE, 8(11). doi: 10.1371/journal.pone.0080161. PMID: 24278255
  • Mavadati, S. M., Mahoor, M. H., Bartlett, K., Trinh, P., & Cohn, J. F.  (2013). DISFA: A spontaneous facial action intensity database. IEEE Transactions on Affective Computing, 4(2), 151-160.
  • Moore, G. A., Powers, C. J., Bass, A. J., Cohn, J. F., Propper, C. B., Allen, N. B., & Lewinsohn, P. M. (2013). Dyadic interaction: greater than the sum of its parts?. Infancy, 18(4), 490-515. PMCID: PMC3811963
  • Rahu, Mamoona Arif, Grap, Mary Jo, Cohn, J. F., Munro, C. L., Lyon, D. E., & Sessler, C. N. (2013). Facial expression as an indicator of pain in critically ill intubated adults during endotracheal suctioning. American Journal of Critical Care, 22(5), 412-422. PMCID: PMC3913066
  •  Yang, Y., Fairbairn, C., & Cohn, J.F. (2013). Detecting depression severity from intra- and interpersonal vocal prosody.IEEE Transactions on Affective Computing,4(2), 142-150.
• Published conference proceedings
  • Chu, Wen-Sheng, De la Torre, Fernando, & Cohn, Jeffrey F. (2013). Selective transfer machine for personalized facial action unit detection.Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, pages 3515-3522.Portland, OR.
  • Ding, X., Chu, W.-S., De la Torre, F., Cohn, J. F., & Wang, Q. (2013). Facial action unit event detection by cascade of tasks, Proceedings of the IEEE International Conference on Computer Vision(pp. 2400-2407). Los Alamitos, CA: IEEE Computer Society.
  • Girard, J. M., Cohn, J. F., Mahoor, M. H., Mavadati, S. M., Rosenwald, D., & Torre, F. D. l. (2013). Manual and automatic analysis of facial affective reactivity in major depressive disorder.Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition,(pp. 1-8). Shanghai, China. Los Alamitos, CA: IEEE Computer Society.
  • Hammal, Z., & Cohn, J. F. (2013). Temporal coordination of head motion in couples with history of interpersonal violence. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, (pp. 1-8). Shanghai, China. Los Alamitos, CA: IEEE Computer Society.
  • Hammal, Z., Cohn, J. F, & Messinger, D. S. (2013). Head movement dynamics during normal and perturbed parent-infant interaction.Proceedings of the Affective Computing and Intelligent Interaction, (pp. 1-7). Geneva, Switzerland. Los Alamitos, CA: IEEE Computer Society.
  • Jeni, L., Lorincz, A., Szabo, Z., Cohn, J. F., & Kanade, T. (2013). Emotion expression classification using time-series kernels. Proceedings of the Fifth IEEE International Workshop on Analysis and Modeling of Faces and Gestures, Portland, OR. Los Alamitos, CA: IEEE Computer Society.
  • Jeni, L., Torre, F. D. l., Girard, J., & Cohn, J. F. (2013). Continuous AU intensity estimation using localized, sparse facial feature space.Proceedings of the 2nd International Workshop on Emotion Representation, Analysis and Synthesis in Continuous Time and Space, Shanghai, China. Los Alamitos, CA: IEEE Computer Society.
  • Jeni, Laszlo, Cohn, Jeffrey F, & De la Torre, Fernando. (2013). Facing imbalanced data recommendations for the use of performance metrics. Proceedings of the Affective Computing and Intelligent Interaction, Geneva, Switzerland. Los Alamitos, CA: IEEE Computer Society.
  • Joshi, Jyoti, Goecke, Roland, Braeaksp, Michael, Breakspear, Michael, & Cohn, Jeffrey F. (2013). Relative body parts movement for automatic depression analysis. Proceedings of the Affective Computing and Intelligent Interaction, Geneva. Los Alamitos, CA: IEEE Computer Society.
  • Lorincz, A., Molnar, G., Jeni, L., Toser, Z., Rausch, A., Cohn, J. F., & Csapo, B. (2013). Towards entertaining and efficient educational games.Proceedings of the NIPS Data Driven Education Workshop. Lake Tahoe, NV.
  • McDuff, D., Kaliouby, R. El, Senechal, T., Amr, M., Cohn, J. F, & Picard, R.. (2013). AMFED facial expression dataset: Naturalistic and spontaneous facial expressions collected “in-the-wild”. Proceedings of the Fifth IEEE International Workshop on Analysis and Modeling of Faces and Gestures. Los Alamitos, CA: IEEE Computer Society.
  • Trutoiu, L., Cohn, J. F., & Hodgins, J. (2013). The temporal coordination between smiles and blinks. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition.  Los Alamitos, CA: IEEE Computer Society.
  • Zaker, N., Mohammad, M. H., Cohn, J. F., Mattson, W., & Messinger, D. S. (2013). A comparison of alternative classifiers for detecting occurrence and intensity in spontaneous facial expression of infants with their mothers. Proceedings of the IEEE International Conference Automatic Face and Gesture Recognition. Los Alamitos, CA: IEEE Computer Society.
  • Zhang, X., Yin, L., Cohn, J.F., Horowitz, A., Reale, M., Canavan, S., Liu, P., et al. (2013 ).A 3D spontaneous dynamic facial expression database. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, Shanghai, China. Los Alamitos, CA: IEEE Computer Society.

Selected publications from prior to 2013. For more, please see Google Scholar, CV,or PubMed

• • Ambadar, Z., Cohn, J. F., & Reed, L. I. (2009). All smiles are not created equal: Morphology and timing of smiles perceived as amused, polite, and embarrassed/nervous. Journal of Nonverbal Behavior, 33(1), 17-34.
  • Ambadar, Z., Schooler, J. W., & Cohn, J. F. (2005). Deciphering the enigmatic face: The importance of facial dynamics to interpreting subtle facial expressions. Psychological Science, 16, 403-410.
  • Boker, S. M., Cohn, J. F., Theobald, B. J., Matthews, I., Spies, J., & Brick, T. (2009). Effects of damping head movement and facial expression in dyadic conversation using real-time facial expression tracking and synthesized avatars. Philosophical Transactions B of the Royal Society, 364, 3485–3495. 
  • Boker SM, Cohn JF, Theobald BJ, et al. Something in the way we move: Motion, not perceived sex, influences nods in conversation. Journal of Experimental Psychology: Human Perception and Performance. 2011;37(3):874-891.
  • Cohn, J. F., Ambadar, Z., & Ekman, P. (2007). Observer-based measurement of facial expression with the Facial Action Coding System. In J. A. Coan & J. J. B. Allen (Eds.), Handbook of emotion elicitation and assessment. Oxford University Press Series in Affective Science (pp. 203-221). New York, NY: Oxford University.
  • Cohn, J. F., Campbell, S. B., & Ross, S. (1991). Infant response in the still-face paradigm at 6 months predicts avoidant and secure attachment at 12 months. Development and Psychopathology, 3, 367-376.

  • Cohn, J. F., & Elmore, M. (1988). Effects of contingent changes in mothers’ affective expression on the organization of behavior in 3-month old infants. Infants Behavior and Development, 11, 493-505. https://doi.org/10.1016/0163-6383(88)90008-2

  • Cohn, J. F., & Schmidt, K. L. (2004). The timing of facial motion in posed and spontaneous smiles. International Journal of Wavelets, Multiresolution and Information Processing, 2, 1-12.
  • Cohn, J. F., Simon Kreuz, T., Matthews, I., Yang, Y., Nguyen, M. H., Tejera Padilla, M., . . . Torre, F. D. l. (2009). Detecting depression from facial actions and vocal prosody. Affective Computing and Intelligent Interaction (ACII 2009), 1-7.
  • Cohn, J. F., & Tronick, E. Z. (1983). Three month old infants’ reaction to simulated maternal depression. Child Development, 54, 185-193.
  • Cohn, J. F., & Tronick, E. (1988). Mother-Infant face-to-face interaction: Influence is bidirectional and unrelated to periodic cycles in either partner’s behavior. Developmental Psychology, 34(3), 386-392.
  • Cohn, J. F., & Tronick, E. (1989). Specificity of infants’ response to mothers’ affective behavior. Journal of the American Academy of Child And Adolescent Psychiatry, 28, 242-248.
  • Moore, C. A., Cohn, J. F., & Katz, G. S. (1994). Quantitative description and differentiation of fundamental frequency contours. Computer Speech and Language, 8, 385-404.
  • Katz, G. S., Cohn, J. F., & Moore, C. A. (1996). A combination of vocal fo dynamic and summary features discriminates between three pragmatic categories of infant-directed speech. Child Development, 67(1), 205-217. 

  • Matias, R., Cohn, J. F., & Ross, S. (1989). A comparison of two systems that code infant affective expression. Developmental Psychology, 25(4), 483-489.

  • Moore, G. A., Cohn, J. F., & Campbell, S. B. (1997). Mothers’ affective behavior with infant siblings: Stability and change. Developmental Psychology, 33, 856-860.

  • Moore, C. A., Cohn, J. F., & Katz, G. S. (1994). Quantitative description and differentiation of fundamental frequency contours. Computer Speech and Language, 8(4), 385-404.

  • Pollak, S. D., Messner, M., Kistler, D. J., & Cohn, J. F. (2009). Development of perceptual expertise in emotion recognition. Cognition, 110(2), 242-247.
  • Schmidt, K. L., & Cohn, J. F. (2001). Human facial expressions as adaptations: Evolutionary perspectives in facial expression research. Yearbook of Physical Anthropology, 116, 8-24. doi:10.1002/ajpa.2001
  • Tronick, E. Z., & Cohn, J. F. (1989). Infant-mother face-to-face interaction: Age and gender differences in coordination and the occurrence of miscoordination. Child Development, 60, 85-92.
  • Tronick, E. Z., Ricks, M., & Cohn, J. F. (1982). Maternal and infant affective exchange: Patterns of adaptation. In T. Field & A. Fogel (Eds.), Emotion and interaction: Normal and high risk infants (pp. 83-100). Lawrence Erlbaum Associates.

  • Van Swearingen, J. M., Cohn, J. F., & Bajaj-Luthra, A. (1999). Specific impairment of smiling increases the severity of depressive symptoms in patients with facial neuromuscular disorders. Aesthetic and Plastic Surgery, 23, 416-423.

  • VanSwearingen, J. M., Cohn, J. F., Turnbull, J., Mrzai, T., & Johnson, P. (1998). Psychological distress: Linking impairment with disability in facial neuromotor disorders. Otolaryngology–Head and Neck Surgery, 790-796.
  • Zlochower, A. J., & Cohn, J. F. (1996). Vocal timing in face-to-face interaction of clinically depressed and nondepressed mothers and their 4-month-old infants. Infant Behavior and Development, 19, 373-376.

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