Journal Articles

  1. Jehel, L., Howard N., Pradem M., Simchowitz Y., Robert Y., Messiah A. (2015). Prendre en compte la dimension transculturelle dans l’évaluation du risque suicidaire et du psychotraumatisme. European Psychiatry, vol 30, issue 8, page S79.
  2. Poria, S., Agarwal, Basant., Gelbukh, A., Hussain, A., Howard, N. (2014). Dependency-Based Semantic Parsing for Concept-Level Text Analysis. Computational Linguistics and Intelligent Text Processing. Lecture Notes in Computer Science, 8403, 113-127
  3. Hussain, A., Cambria, E., Schuller, B., Howard, N. (2014). Affective Neural Networks and Cognitive Learning Systems for Big Data Analysis, Neural Networks, Special Issue, 58, 1-3.
  4. Cambria, E., Howard, N., Song, Y. & Wang, H. (2014). Semantic Multidimensional Scaling for Open Domain Sentiment Analysis. IEEE Intelligent Systems, 29 March/April.
  5. Bermann, J., Langdon, P., Mayagoita, R. & Howard, N. (2014). Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories. PLoS ONE, 9, e88080.
  6. Nave, O., Neuman, Y., Perlovsky, L. & Howard, N. (2014). How Much Information Should We Drop to Become Intelligent? Applied Mathematics and Computation, 245: 261-264.
  7. Poria, S., Gelbukh, A., Hussain, A., Bandyopadhyay, S. & Howard, N. (2013). Music Genre Classification: A Semi-supervised Approach. Pattern Recognition. Springer Berlin Heidelberg, 7914: 254-263.
  8. Poria, S., Gelbukh, A., Agarwal, B., Cambria, E. & Howard, N. (2013). Common Sense Knowledge Based Personality Recognition from Text. Advances in Soft Computing and Its Applications,. Lecture Notes in Computer Science, Springer, 8266:2013, 484-496.
  9. Cambria, E., Mazzocco, T., Hussain, A., Howard, N. (2013). Sentic Neurons: A Biologically Inspired Cognitive Architecture for Affective Common Sense Reasoning. In Procedia Computer Science, 00, 1-6.
  10. Neuman, Y., Assaf, D., Cohen, Y., Last, M., Argamon, S., Howard, N. & Frieder, O. (2013). Metaphor Identification in Large Texts Corpora. PLoS One, 8.
  11. Howard, N., Bergmann, J. & Stein, J. (2013). Combined Modality of the Brain Code Approach for Early Detection and the Long-term Monitoring of Neurodegenerative Processes. Frontiers Special Issue INCF Course Imaging the Brain at Different Scales.
  12. Bergmann, J., Graham, S., Howard, N. & Mcgregor, A. (2013). Comparison of Median Frequency Between Traditional and Functional Sensor Placements During Activity Monitoring. Measurement, 46, 2193-2200.
  13. Howard, N., Stein, J. & Aziz, T. (2013). Early Detection of Parkinson’s Disease from Speech and Movement Recordings. Oxford Parkinson’s Disease Center Research Day 2013.
  14. Howard, N. & Bergmann, J. (2012). Combining Computational Neuroscience and Body Sensor Networks to Investigate Alzheimer’s Disease. Journal of Functional Neurology, Rehabilitation and Ergonomics, 2(1), 29-38
  15. Bergmann, J. & Howard, N. (2012). Combining Computational Neuroscience and Body Sensor Networks to Investigate Alzheimer’s Disease. BMC Neuroscience, 13(supp),
  16. Howard, N., Lieberman, H. (2012). Brain Space: Relating Neuroscience to Knowledge About Everyday Life. Cognitive Computation, published online August 2012.
  17. Cambria, E., White, B., Durrani, T., & Howard, N. (2012). Computational Intelligence for Natural Language Processing. IEEE Computational Intelligence Magazine, 9(1), 19-63.
  18. Howard, N. (2012). Brain Language: The Fundamental Code Unit. The Brain Sciences Journal, 1(1), 4-45.
  19. Howard, N. (2012). Energy Paradox of the Brain. The Brain Sciences Journal, 1(1), 46-61.
  20. Howard, N., Lieberman, H. (2012). Brain Space: Automated Brain Understanding and Machine Constructed Analytics in Neuroscience. Brain Sciences Journal, 1(1), 85-97.
  21. Howard, N., Guidere, M. (2012). LXIO The Mood Detection Robopsych. The Brain Sciences Journal, 1(1), 98-109.
  22. Howard, N., Kanareykin, S. (2012). Transcranial Ultrasound Application Methods: Low-Frequency Ultrasound as a Treatment for Brain Dysfunction. The Brain Sciences Journal, 1(1), 110-124.


  1. Howard, N., Poria, S., Hussain, A., Cambria, E. (2015). A Common Framework for Multimodal Emotion and Sentiment Analysis. Springer. In preparation.
  2. Howard, N. (2015). The Fundamental Code Unit of the Brain: Deciphering the DNA of Cognition. Frontiers in Systems Neuroscience (Commissioned, In Preparation).
  3. Bergmann, J., Fei, J., Green, D. & Howard, N. (2015). Effect of Everyday Living Behavior on Cognitive Processing. PLOS ONE, In Preparation.
  4. Howard, N. & Stein, J. F. (2015). Mathematical Review for Cortical Computation Proposition for Brain Code Hypothesis. Frontiers Systems Neuroscience. Commissioned, In Preparation.
  5. Howard, N., Rao, D., Fahlstrom, R., Bergmann, J. & Stein, J. (2015). The Fundamental Code Unit- Applying Neural Oscillation Detection Across Clinical Conditions. Frontiers, Commissioned, In Preparation.
  6. Howard, N. & Stein, J. (2015). Potential Neural and Clinical Measures of Parkinson’s Disease. In Preparation
  7. Howard, N. & Stein, J. (2015). Toward a New Diagnostic Approach for Parkinson’s Disease. In Preparation.
  8. Bergmann, J. H. M., Goodier, H., Howard, N. & Mcgreggor, A. (2015). An Integrated Clothing Sensing System for Measuring Knee Joint Stability. In Preparation.


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