Conference Papers

  1. Ali L, Khelil K, Wajid SK, Hussain ZU, Shah MA, Howard A, Adeel A, Shah AA, Sudhakar U, Howard N, Hussain A: Machine learning based computer-aided diagnosis of liver tumours. in 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)2017. pp. 139-145.
  2. Shiva AS, Gogate M, Howard N, Graham B, Hussain A: Complex-valued computational model of hippocampal CA3 recurrent collaterals. in 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)2017. pp. 161-166
  3. Dashtipour, K., et al. (2017). Persian Named Entity Recognition. 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 79-83.
  4. Wang Y, Valipour M, Zatarain OD, Gavrilova ML, Hussain A, Howard N, Patel S: Formal Ontology Generation by deep machine learning. in 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) 2017. pp. 6-15.
  5. Howard, N., Hussain, A., Cambria, E. (2016). Computational Intelligence for Big Social Data Analysis. WCCI 2016 Special Session. Vancouver, Canada. In preparation.
  6. Howard, N: Rethinking Artificial Intelligence. in 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)2015. pp. 1-2.
  7. Wang, Y., Rolls, E., Howard, N., Raskin, V., Kinsner, W., Murtagh, F., Bhavsar, V., Patel, S., Patel, D., Tsumoto, S., Shell, D. (2015). Cognitive Informatics: From Information Revolution to Intelligence Revolution. In preparation.
  8. Howard, N., Cambria, E., Hussain, A., Poria, S. (2015). Multiple Kernel Learning for Multimodal Emotion and Sentiment Analysis. International Conference on Extreme Learning Machines, December 15-17, 2015. Hangzhou, China. In preparation.
  9. Jehel, L., Pradem, M., Simchowitz, Y., Robert, Y., Howard, N., Messiah, A. (2015). Prendre en Compte la Dimension Transculturelle Dans L’évaluation du Risque Suicidaire et du Psychotraumatisme. 7ème Congrès Français de Psychiatrie, 25 et 28 novembre 2015. Lille, France.
  10. Dunn, J., Heredia, J. B. D., Burke, M., Gandy, L., Kanareykin, S., Kapah, O., Taylor, M., Hines, D., Freieder, O., Grossman, D., Howard, N., Koppel, M., Morris, S., Ortony, A. & Argamon, S. (2014). Language-Independent Ensemble Approaches to Metaphor Identification. CGAHI 2014: AAAI Workshop on Cognitive Computing for Augmented Human Intelligence. Quebec, Canada.
  11. Howard, N., Jehel, L. & Arnal, R. (2014). Towards a Differential Diagnostic of PTSD Using Cognitive Computing Methods. International Conference on Cognitive Informatics and Cognitive Computing ICCI CC. London, UK: IEEE.
  12. Poria, S., Agarwal, B., Gelbukh, A., Hussain, A., & Howard, N. (2014). Dependency-based semantic parsing for concept-level text analysis. In Computational Linguistics and Intelligent Text Processing. CICLing 2014. Lecture Notes in Computer Science, vol 8403, (pp. 113-127). Springer Berlin Heidelberg.
  13. Assaf D, Neuman Y, Cohen Y, Argamon S, Howard N, Last M, Frieder O, Koppel M: Why dark thoughts aren’t really dark: A novel algorithm for metaphor identification. in 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB). Singapore, IEEE; 2013. pp. 60-65.
  14. Cambria E, Howard N, Hsu J, Hussain A: Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics. in 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)2013. pp. 108-117.
  15. Howard, N., Bergmann, J. & Fahlstrom, R. (2013). Exploring the Relationship Between Everyday Speech and Motor Symptoms of Parkinson’s Disease as Prerequisite Analysis for Tool Development. Lecture Notes in Computer Science, MICAI, November 24-30, 2013, Mexico City, Mexico.
  16. Howard, N., Bergmann JHM, Howard R: Examining Everyday Speech and Motor Symptoms of Parkinson’s Disease for Diagnosis and Progression Tracking. in 2013 12th Mexican International Conference on Artificial Intelligence2013. pp. 262-269.
  17. Howard, N. (2013). Approach Towards a Natural Language Analysis for Diagnosing Mood Disorders and Comorbid Conditions. Lecture Notes in Computer Science, MICAI, November 24-30, 2013, Mexico City, Mexico.
  18. Howard, N. & Cambria, E. (2013). Intention awareness: improving upon situation awareness in human-centric environments. Human-centric Computing and Information Sciences, 3;9, 1-17.
  19. Howard, N. (2013). The Twin Hypotheses: Brain Code and the Fundamental Code Unit: Towards Understanding the Computational Primitive Elements of Cortical Computing. Lecture Notes in Artificial Intelligence, MICAI, November 24-30, 2013, Mexico City, Mexico.
  20. Howard, N., Pollock, R., Prinold, J., Sinha, J., Newham, D., Bergmann, J. (2013). Effect of Impairment on upper limb performance in an Ageing Population. The Human Computer Interaction International 2013 Conference (HCI) July 21-26, 2013, Las Vegas, Nevada.
  21. Howard, N. (2013). Toward Understanding Analogical Mapping and Ideological Cataloguing in the Brain. Research Challenges in Information Science Series Conference (RCIS) May 29-31, 2013, Paris, France.
  22. Howard, N: Application of intention awareness and sentic computing for sensemaking in joint-cognitive systems. in 2013 IEEE Symposium on Intelligent Agents (IA)2013. pp. 1-4.
  23. Last, M., Assaf, D., Neuman, Y., Cohen, Y., Argamon, S., Howard, N., Frieder, O., Koppel, M. (2013) Towards Metaphor Analysis for Natural Language Understanding. The 35th Annual Conference on Information Retrieval, March 24-27, 2013, Moscow, Russia.
  24. Bergmann, J., Howard, N. (2013). Design Considerations for a Wearable Sensor Network that Measures Accelerations during Water-Ski Jumping. IEEE Body Sensor Network Conference, May 6-9, 2013, Cambridge, Massachusetts.
  25. Howard, N., Rao, D., Fahlstrom, R. & Stein, J. (2013). The Fundamental Code Unit: A Framework for Biomarker Analysis. . The 2nd Neurological Biomarkers Conference at the 2013 Biomarker Summit. San Francisco, California.
  26. Gandy L, Allan N, Atallah M, Frieder O, Howard N, Kanareykin S, Koppel M, Last M, Neuman Y, Argamon S: Automatic Identification of Conceptual Metaphors with Limited Knowledge. in 27th AAAI Conference on Artificial Intelligence, July 14-18, 2013. Bellevue, Washington, AAAI; 2013.
  27. Howard, N. & Bergmann, J. (2012). Combining Computational Neuroscience and Body Sensor Networks to Investigate Alzheimer’s Disease. Organization for Computational Neurosciences, July 21-26, 2012, Atlanta/Decatur.
  28. Howard, N. (2012). Intention Awareness in Human-Machine Interaction Sensemaking in Joint Cognitive Systems. International Conference on Information Sciences and Interaction Science, June 26-28, 2012, Jeju Island, Korea, 293-299.
  29. Howard N. (2012) Perception in International Conflict: An Agent-Based Approach. in 2012 European Intelligence and Security Informatics Conference2012. pp. 259-262.
  30. Howard N, Kanareykin S: Intention awareness in cyber security. in Proceedings Title: 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic (CyberSec) 2012. pp. 6-11.
  31. Howard, N. (2012) Diplomatic, Information, Military and Economic power (DIME): An effects modeling system. in 2012 National Conference on Computing and Communication Systems. pp. 1-4.
  32. Johnson DEA, Howard N: Network Intelligence: An Emerging Discipline. in 2012 European Intelligence and Security Informatics Conference2012. pp. 287-288.
  33. Howard N. (2012) Digital Crosstalk: Using intention awareness for better battlefield and logistics communications. in National Conference on Computing and Communication Systems. pp. 1-5.
  34. Livshits D, Howard N, Neuman Y. (2012) Can Computers Help Us to Better Understand Different Cultures? Toward a Computer-Based CULINT. in 2012 European Intelligence and Security Informatics Conference. pp. 172-179.
  35. Howard N. (2011) Global Defense Policy System of Laws: Graph Theory Approach to Balance of Power Theory. in 2011 European Intelligence and Security Informatics Conference2011. pp. 248-258.