Journal Articles

  1. 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
  2. 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.
  3. Cambria, E., Howard, N., Song, Y. & Wang, H. (2014). Semantic Multidimensional Scaling for Open Domain Sentiment Analysis. IEEE Intelligent Systems, 29 March/April.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Neuman, Y., Assaf, D., Cohen, Y., Last, M., Argamon, S., Howard, N. & Frieder, O. (2013). Metaphor Identification in Large Texts Corpora. PLoS One, 8.
  10. 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.
  11. 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.
  12. 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.
  13. 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
  14. Bergmann, J. & Howard, N. (2012). Combining Computational Neuroscience and Body Sensor Networks to Investigate Alzheimer’s Disease. BMC Neuroscience, 13(supp),
  15. Howard, N., Lieberman, H. (2012). Brain Space: Relating Neuroscience to Knowledge About Everyday Life. Cognitive Computation, published online August 2012.
  16. Cambria, E., White, B., Durrani, T., & Howard, N. (2012). Computational Intelligence for Natural Language Processing. IEEE Computational Intelligence Magazine, 9(1), 19-63.
  17. Howard, N. (2012). Brain Language: The Fundamental Code Unit. The Brain Sciences Journal, 1(1), 4-45.
  18. Howard, N. (2012). Energy Paradox of the Brain. The Brain Sciences Journal, 1(1), 46-61.
  19. Howard, N., Lieberman, H. (2012). Brain Space: Automated Brain Understanding and Machine Constructed Analytics in Neuroscience. Brain Sciences Journal, 1(1), 85-97.
  20. Howard, N., Guidere, M. (2012). LXIO The Mood Detection Robopsych. The Brain Sciences Journal, 1(1), 98-109.
  21. 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.

IN PREPARATION

  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.