Journal Papers

  1. Wassan Hayale, Pooran S. Negi, and Mohammad H. Mahoor, “Deep Siamese Neural Networks for Facial Expression Recognition in the Wild”, in press, IEEE Transactions on Affective Computing.
  2. Rohola Zanide and Mohammad H. Mahoor, “Topical Language Generation using Transformers”, in press, Journal of Natural Language Engineering. The paper can be downloaded from here.
  3. Fahad Alhomayani and Mohammad H. Mahoor, “OutFin, a multi-device and multi-modal dataset for outdoor localization based on the fingerprinting approach”, in press, Scientific Data. The codes are here.
  4. Alireza Taheri, Ali Meghdari, and Mohammad H. Mahoor, “A Close Look at the Imitation Performance of Children with Autism and Typically Developing Children using a Robotic System“, International Journal of Social Robotics, 2020.
  5. Mohsen Sharifi Renani, Casey A. Myers, Rohola Zandie, Mohammad H. Mahoor, Bradley S. Davidson, and Chadd W. Clary, “ Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors“, Sensors, 2020.
  6. Fahad Alhomayani and Mohammad H. Mahoor, “Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review“, Journal of Location Based Services, 2020.
  7. Yishi Lee, Mohammad H. Mahoor, and Wayne Hall, “A 2D Numerical Model of Ultrasonic Wave Propagation in Wooden Utility Poles Using Embedded Waveguide Excitation Technique“, Wood and Fiber Science, 2020.
  8. Diana Mihalache, Huanghao Feng, Farzaneh Askari, Peter Sokol‐Hessner, Eric J Moody, Mohammad H Mahoor, Timothy D Sweeny, “Perceiving gaze from head and eye rotations: An integrative challenge for children and adults“, Developmental Science, 2020.
  9. Hosein M. Golshan, Adam O. Hebb, and Mohammad H. Mahoor, “LFP-Net: A deep learning framework to recognize human behavioral activities using brain STN-LFP signals“, Journal of Neuroscience Methods, 2020.
  10. Behzad Hasani, Pooran S. Negi, and Mohammad H. Mahoor, “BReG-NeXt: Facial affect computing using adaptive residual networks with bounded gradient“, IEEE Transactions on Affective Computing, 2020.
  11. Howard Feng, Hosein Golshan, and Mohammad H. Mahoor, “A wavelet-based feature extraction approach for emotion classification using the EDA signals“, expert systems and applications, vol. 112, pages 77-86, 2018.
  12. Ali Mollahosseini, Hojjat Abdollahi, Timothy Sweeny, Ron Cole, and Mohammad H. Mahoor, “Role of embodiment and presence in human perception of robots’ facial cues”, International Journal of Human-Computer Studies, August 2018.
  13. Hosein Golshan, Adam O. Hebb, Joshua Nedrud, Sara J. Hanarhan, and M.H. Mahoor, “ A Hierarchical Structure for Human Behavior Classification using Local Field Potentials “, Journal of Neuroscience Methods, 2018 Jan 1;293:254-263.
  14. Soroush Niketeghad, Adam O. Hebb, Joshua Nedrud, Sara J. Hanarhan, and M.H. Mahoor, “Motor Task Detection from Human STN using Interhemispheric Connectivity”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018 Jan;26(1):216-223.
  15. Ali Mollahosseini, Behzad Hasani, and Mohammad H. Mahoor, “AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild”, IEEE Transactions on Affective Computing, 2018. PDF

  16. Sara J. Hanrahan, Joshua J. Nedrud, Bradley S. Davidson, Sierra Farris, Monique Giroux, Aaron Haug, “Long-Term Task and Dopamine Dependent Dynamics of Subthalamic Local Field Potentials in Parkinson’s Disease”, Brain Sciences, 2016 Nov 29;6(4). pii: E57.
  17.  M.R.Mohammadi, E. Fatemizadeh, and M.H. Mahoor, “A Bayesian Source Separation Method for Intensity Estimation of Action Units”, IEEE Transactions on Affective Computing, May 2017.
  18. M. R. Mohammadi, E. Fatemizadeh, M.H. Mahoor, “A Joint Dictionary Learning and Regression Model for Intensity Estimation of Facial AUs”, Journal of Visual Communication and Image Representation, Volume 47, August 2017, Pages 1–9.
  19. Hadi Rezaeilouyeh, Ali Mollahosseini, Mohammad H. Mahoor, “Microscopic medical image classification framework via deep learning and shearlet transform,” J. Med. Imag. 3(4), 044501 (2016), doi: 10.1117/1.JMI.3.4.044501
  20. Hadi Rezaeilouyeh and Mohammad H. Mahoor, “Automatic Gleason Grading of Prostate Cancer using Shearlet Transform
    and Multiple Kernel Learning”, Journal of Imaging, September 2016.
  21. Yanzhe Cui, Richard M Voyles, Josh T Lane, Akshay Krishnamoorthy, Mohammad H Mahoor, “A mechanism for real-time decision making and system maintenance for resource constrained robotic systems through ReFrESH“, Autonomous Robots, July 2015.
  22. Xiao Zhang and Mohammad H. Mahoor, “Task-Dependent Multi-task Multiple Kernel Learning for Facial Action Unit Detection“, Pattern Recognition, Volume 51, March 2016, Pages 187–196.
  23. Yongqiang Li, Seyed Mohammad Mavadati, Mohammad H. Mahoor, Yongping Zhao, Qiang Ji, “Measuring the intensity of spontaneous facial action units with dynamic Bayesian network”. Pattern Recognition 48(11): 3417-3427, 2015.
  24. Xiao Zhang, Mohammad H. Mahoor, and S.Mohammad Mavadati, “Facial Expression Recognition Using lp-norm MKL Multiclass-SVM”, Machine Vision and Applications, 26(4), 467-483, 2015.
  25. Mohammad R. Mohammadi, Emad Fatemizadeh, and Mohammad H. Mahoor, “Intensity Estimation of Spontaneous Facial Action Units Based on Their Sparsity Properties”, IEEE Transactions on Cybernetics, April 2015.
  26. M.R. Mohammadi, E. Fatemizadeh, and M.H. Mahoor, “PCA-Based Dictionary Building for Accurate Facial Expression Recognition via Sparse Representation“, Journal of Visual Communication and Image Representation, 25 (5), 1082-1092, 2014.
  27. S. Althloothi, M.H. Mahoor, X. Zhang, R. M. Voyles, “Human Activity Recognition Using Multi-Features and Multiple Kernel Learning”, Journal of Pattern Recognition, Volume 47, Issue 5, Pages 1800–1812, May 2014.
  28. M.R. Mohammadi, E. Fatemizadeh, M.H. Mahoor, “Non-Negative Sparse Decomposition Based on Constrained Smoothed L0 Norm”, Journal of Signal Processing, Volume 100, Pages 42–50, July 2014.
  29. J. M. Girard, J. F. Cohn, M.H. Mahoor, S. M. Mavadati, Z. Hammal, and D.P. Rosenwald, “Social Risk and Depression: Evidence from Nonverbal Behavior Analysis”, Journal of Image and Vision Computing, 32(10): 641-647, 2014 (editor selection of high quality F&G’13 conference papers).
  30. Whitney Ian Mattson, Jeffrey F. Cohn, Mohammad H. Mahoor, Devon Nicole Gangi, and Daniel S. Messinger, “Darwin’s Duchenne: Eye constriction during infant joy and distress“, PLOS-One,  2013.
  31. Adam O. Hebb, Jun Jason Zhang, Mohammad H. Mahoor, Christos Tsiokos, Charles Matlack, Howard Jay Chizeck, Nader Pouratian, “Creating the feedback loop: Signals for Closed Loop Neurostimulation”, Journal of Neurosurgery Clinics of North America, 25(1):187-204, Jan. 2014.
  32. S. Mohammad Mavadati, M. H. Mahoor, K. Bartlett, Jeff Cohn, “DISFA: A Spontaneous Facial Expressions Dataset”, IEEE Transactions on Affective Computing, April-June, vol. 4 no. 2, pp. 151-160, 2013. [PDF]
  33. Salah Althloothi, Mohammad H. Mahoor, Richard M. Voyles, “A Robust Method for Rotation Estimation Using Spherical Harmonics Representation”, IEEE Transactions on Image Processing. pp. 2306-2316, Vol. 22, No.6 June 2013.
  34. S. Althloothi, M. H. Mahoor, and R. M. Voyles, “Fitting distal limb segments for accurate skeletonization in human action recognition”, Journal of Ambient Intelligence and Smart Environments, Volume 4 (2) IOS Press – Jan 1, 2012.
  35. D.S. Messinger, D.S., W.I. Mattson, M.H. Mahoor, and J.F. Cohn, ” The eyes have it: Making positive expressions more positive and negative expressions more negative. Emotion”, June,12(3):430-6, 2012.
  36. M.H. Mahoor, R. Godzdanker, K. Dalamagkidis, K. P. Valavanis, “ Vision-Based Landing of Light Weight Unmanned Helicopters on a Smart landing Platform ”, Journal of Intelligent and Robotic Systems, Vol. 61, Issue 1-4, January, 2011.
  37. D.S.  Messinger,   M.H. Mahoor, S. Chow, and J.F. Cohn, ” Automated Measurement of Facial Expression in Infant-Mother Interaction: A Pilot Study “, Infancy Journal, Vol. 14, 2009.
  38. M.H. Mahoor and M. Abdel-Mottaleb, “Face Recognition Based on 3D Ridge Images Obtained from Range Data”, Pattern Recognition, Vol., 42, No. 3: pp. 445-451, 2009.
  39. A-Nasser Ansari, M. Abdel-Mottaleb and M. H.  Mahoor, “ A Multimodal Approach for 3D Face Modeling and Recognition using 3D Deformable Facial Mask ”, Machine Vision and Applications Journal,  Vol. 20, No. 3, April 2009.
  40. (Selected BMVC’06 Paper) N. Gracias, M. H. Mahoor, S. Negahdaripour, A. Gleason and, “ Fast Image Blending using Watersheds and Graph Cuts ”, Journal of Image and Vision Computing, Vol. 27, No. 27, pp. 597-607, 2009.
  41. M. H. Mahoor and M. Abdel-Mottaleb, “ A Multi-modal Approach for Face Recognition Based on Ridge Images and Attributed Relational Graph ”, IEEE Transactions on Information Forensics and Security, Volume 3, Issue 3, pp.431- 440, Sept. 2008.
  42. (Selected IBC’06 Paper) M. Abdel-Mottaleb and M. H. Mahoor, “ Algorithm for Assessing the Quality of Facial Images ”, IEEE Computational Intelligence Magazine (CIM), Vol. 2, No. 2, pp. 10-17, May 2007.
  43. M. H. Mahoor, M. Abdel-Mottaleb, and N. A-Ansari, “ Improved Active Shape Model for Facial Feature Extraction in Color Images ”, Journal of Multimedia, Vol. 1, No. 4, pp. 21-28, July 2006.
  44. M. H. Mahoor and M. Abdel-Mottaleb, “ Classification and Numbering of Teeth in Bitewing Dental Images ”, Journal of Pattern Recognition, Vol. 38, No. 4, pp. 577-586, April 2005.