Global Defense Policy System of Laws: Graph Theory Approach to Balance of Power Theory. - Newton Howard (EISIC, 2011)

Intention awareness in cyber security. - Newton Howard; Sergey Kanareykin (CyberSec, 2012)

Perception in International Conflict: An Agent-Based Approach. - Newton Howard (EISIC, 2012)

Network Intelligence: An Emerging Discipline. - David E. A. Johnson; Newton Howard (EISIC, 2012)

Can Computers Help Us to Better Understand Different Cultures? Toward a Computer-Based CULINT. - Danny Livshitz; Newton Howard; Yair Neuman (EISIC, 2012)

Automatic Identification of Conceptual Metaphors With Limited Knowledge. - Lisa Gandy; Nadji Allan; Mark Atallah; Ophir Frieder; Newton Howard; Sergey Kanareykin; Moshe Koppel; Mark Last; Yair Neuman; Shlomo Argamon (AAAI, 2013)

Design considerations for a wearable sensor network that measures accelerations during Water-Ski jumping. - D. De Boer; O. S. van Rheenen; E. van Zelm; R. P. H. M. Bergmann; Jeroen H. M. Bergmann; Newton Howard (BSN, 2013)

Why "dark thoughts" aren't really dark: A novel algorithm for metaphor identification. - Dan Assaf; Yair Neuman; Yohai Cohen; Shlomo Argamon; Newton Howard; Mark Last; Ophir Frieder; Moshe Koppel (CCMB, 2013)

Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics. - Erik Cambria; Newton Howard; Jane Yung-jen Hsu; Amir Hussain 001 (CIHLI, 2013)

Effect of Impairment on Upper Limb Performance in an Ageing Sample Population. - Newton Howard; Ross D. Pollock; Joe Prinold; Joydeep Sinha; Di Newham; Jeroen H. M. Bergmann (HCI (7), 2013)

Application of intention awareness and sentic computing for sensemaking in joint-cognitive systems. - Newton Howard (IEEE IA, 2013)

Music Genre Classification: A Semi-supervised Approach. - Soujanya Poria; Alexander F. Gelbukh; Amir Hussain 001; Sivaji Bandyopadhyay; Newton Howard (MCPR, 2013)

The Twin Hypotheses - Brain Code and the Fundamental Code Unit: Towards Understanding the Computational Primitive Elements of Cortical Computing. - Newton Howard (MICAI (1), 2013)

Approach Towards a Natural Language Analysis for Diagnosing Mood Disorders and Comorbid Conditions. - Newton Howard (MICAI (Special Sessions), 2013)

Examining Everyday Speech and Motor Symptoms of Parkinson's Disease for Diagnosis and Progression Tracking. - Newton Howard; Jeroen H. M. Bergmann; Rebecca Howard (MICAI (Special Sessions), 2013)

Common Sense Knowledge Based Personality Recognition from Text. - Soujanya Poria; Alexander F. Gelbukh; Basant Agarwal; Erik Cambria; Newton Howard (MICAI (2), 2013)

Erratum: Common Sense Knowledge Based Personality Recognition from Text. - Soujanya Poria; Alexander F. Gelbukh; Basant Agarwal; Erik Cambria; Newton Howard (MICAI (2), 2013)

Toward understanding analogical mapping and ideological cataloguing in the brain: Poster paper. - Newton Howard (RCIS, 2013)

Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining. - Soujanya Poria; Alexander F. Gelbukh; Amir Hussain 001; Newton Howard; Dipankar Das 001; Sivaji Bandyopadhyay (IEEE Intell. Syst., 2013)

Intention awareness: improving upon situation awareness in human-centric environments. - Newton Howard; Erik Cambria (Hum. centric Comput. Inf. Sci., 2013)

Towards a differential diagnostic of PTSD using cognitive computing methods. - Newton Howard; Louis Jehel; Romain Arnal (ICCI*CC, 2014)

Dependency-Based Semantic Parsing for Concept-Level Text Analysis. - Soujanya Poria; Basant Agarwal; Alexander F. Gelbukh; Amir Hussain 001; Newton Howard (CICLing (1), 2014)

Common and Common-Sense Knowledge Integration for Concept-Level Sentiment Analysis. - Erik Cambria; Newton Howard (FLAIRS, 2014)

How much information should we drop to become intelligent? - Ophir Nave; Yair Neuman; Leonid I. Perlovsky; Newton Howard (Appl. Math. Comput., 2014)

Computational Intelligence for Natural Language Processing [Guest Editorial]. - Erik Cambria; Bebo White; Tariq S. Durrani; Newton Howard (IEEE Comput. Intell. Mag., 2014)

BrainSpace: Relating Neuroscience to Knowledge About Everyday Life. - Newton Howard; Henry Lieberman (Cogn. Comput., 2014)

Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis. - Erik Cambria; Yangqiu Song; Haixun Wang; Newton Howard (IEEE Intell. Syst., 2014)

Affective neural networks and cognitive learning systems for big data analysis. - Amir Hussain 001; Erik Cambria; Björn W. Schuller; Newton Howard (Neural Networks, 2014)

Rethinking Artificial Intelligence. - Newton Howard (ICCI*CC, 2015)

Cognitive Informatics and Computational Intelligence: From Information Revolution to Intelligence Revolution. - Yingxu Wang 001; Edmund T. Rolls; Newton Howard; Victor Raskin; Witold Kinsner; Fionn Murtagh; Virendrakumar C. Bhavsar; Shushma Patel; Dilip Patel; Duane F. Shell (Int. J. Softw. Sci. Comput. Intell., 2015)

A Novel Fully Automated Liver and HCC Tumor Segmentation System Using Morphological Operations. - Liaqat Ali; Amir Hussain 001; Jingpeng Li 001; Newton Howard; Amir A. Shah; Unnam Sudhakar; Moiz Ali Shah; Zain U. Hussain (BICS, 2016)

Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study. - Adnan Amin; Sajid Anwar; Awais Adnan; Muhammad Nawaz; Newton Howard; Junaid Qadir 001; Ahmad Y. A. Hawalah; Amir Hussain 001 (IEEE Access, 2016)

Computational Intelligence for Big Social Data Analysis [Guest Editorial]. - Erik Cambria; Newton Howard; Yunqing Xia; Tat-Seng Chua (IEEE Comput. Intell. Mag., 2016)

A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study. - Zeeshan Khawar Malik; Zain U. Hussain; Ziad Kobti; Charlie W. Lees; Newton Howard; Amir Hussain 001 (CoRR, 2016)

Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems. - Yingxu Wang 001; Bernard Widrow; Lotfi A. Zadeh; Newton Howard; Sally L. Wood; Virendrakumar C. Bhavsar; Gerhard Budin; Christine W. Chan; Rodolfo A. Fiorini; Marina L. Gavrilova; Duane F. Shell (Int. J. Cogn. Informatics Nat. Intell., 2016)

Fusing audio, visual and textual clues for sentiment analysis from multimodal content. - Soujanya Poria; Erik Cambria; Newton Howard; Guang-Bin Huang; Amir Hussain 001 (Neurocomputing, 2016)

Machine learning based computer-aided diagnosis of liver tumours. - Liaqat Ali; Khaled Khelil; Summrina Kanwal Wajid; Zain U. Hussain; Moiz Ali Shah; Adam Howard; Ahsan Adeel; Amir A. Shah; Unnam Sudhakar; Newton Howard; Amir Hussain 001 (IEEE ICCI*CC, 2017)

Persian Named Entity Recognition. - Kia Dashtipour; Mandar Gogate; Ahsan Adeel; Abdulrahman Algarafi; Newton Howard; Amir Hussain 001 (IEEE ICCI*CC, 2017)

Complex-valued computational model of hippocampal CA3 recurrent collaterals. - Ashraya Samba Shiva; Mandar Gogate; Newton Howard; Bruce Graham; Amir Hussain 001 (IEEE ICCI*CC, 2017)

Formal Ontology Generation by deep machine learning. - Yingxu Wang 001; Mehrdad Valipour; Omar A. Zatarain; Marina L. Gavrilova; Amir Hussain 001; Newton Howard; Shushma Patel (IEEE ICCI*CC, 2017)

A Bayesian Assessment of Real-World Behavior During Multitasking. - Jeroen H. M. Bergmann; Joan Fei; David A. Green; Amir Hussain 001; Newton Howard (Cogn. Comput., 2017)

Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering. - Yingxu Wang 001; Lotfi A. Zadeh; Bernard Widrow; Newton Howard; Françoise Beaufays; George Baciu; D. Frank Hsu; Guiming Luo; Fumio Mizoguchi; Shushma Patel; Victor Raskin; Shusaku Tsumoto; et al. (Int. J. Cogn. Informatics Nat. Intell., 2017)

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. - Soujanya Poria; Haiyun Peng; Amir Hussain 001; Newton Howard; Erik Cambria (Neurocomputing, 2017)

The Future of the Human Brain. - Newton Howard (ICCI*CC, 2018)

A Survey and Formal Analyses on Sequence Learning Methodologies and Deep Neural Networks. - Yingxu Wang 001; Henry Leung; Marina L. Gavrilova; Omar A. Zatarain; Daniel Graves; Jianhua Lu; Newton Howard; Sam Kwong; Phillip C.-Y. Sheu; Shushma Patel (ICCI*CC, 2018)

The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry. - Newton Howard; Amir Hussain 001 (Cogn. Comput., 2018)

Deep clustering of longitudinal data. - Louis Falissard; Guy Fagherazzi; Newton Howard; Bruno Falissard (CoRR, 2018)

Cognitive Informatics: Towards Cognitive Machine Learning and Autonomous Knowledge Manipulation. - Yingxu Wang 001; Newton Howard; Janusz Kacprzyk; Ophir Frieder; Phillip C.-Y. Sheu; Rodolfo A. Fiorini; Marina L. Gavrilova; Shushma Patel; Jun Peng; Bernard Widrow (Int. J. Cogn. Informatics Nat. Intell., 2018)

Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems. - Yingxu Wang 001; Victor Raskin; Julia Rayz; George Baciu; Aladdin Ayesh; Fumio Mizoguchi; Shusaku Tsumoto; Dilip Patel; Newton Howard (Int. J. Softw. Sci. Comput. Intell., 2018)

The Future of the Brain and Beyond. - Newton Howard (ICCI*CC, 2019)

On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence. - Yingxu Wang 001; Konstantinos N. Plataniotis; Sam Kwong; Henry Leung; Svetlana N. Yanushkevich; Fakhri Karray; Ming Hou 002; Newton Howard; Rodolfo A. Fiorini; Paolo Soda; Edward W. Tunstel; Jianmin Wang 001; et al. (ICCI*CC, 2019)

The Spike Frequency Modulation (SFM) Theory for Neuroinformatics and Cognitive Cybernetics. - Yingxu Wang 001; Newton Howard (SMC, 2019)

The use of photoplethysmography for assessing hypertension. - Mohamed Elgendi; Richard Ribón Fletcher; Yongbo Liang; Newton Howard; Nigel H. Lovell; Derek Abbott; Kenneth Lim; Rabab Ward (npj Digit. Medicine, 2019)

The Cognitive and Mathematical Foundations of Analytic Epidemiology. - Yingxu Wang 001; Kostas N. Plataniotis; Z. Jane Wang 001; Ming Hou 002; MengChu Zhou; Newton Howard; Jun Peng; Runhe Huang; Shushma Patel; Du Zhang (IEEE ICCI*CC, 2020)

BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework. - Newton Howard; Naima Chouikhi; Ahsan Adeel; Katelyn Dial; Adam Howard; Amir Hussain 001 (Frontiers Comput. Neurosci., 2020)

A Neuroinformatics Theory for Cognitive Neurorehabilitation. - Yingxu Wang 001; Newton Howard; Ming Hou 002 (SMC, 2021)

Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures. - Giuseppe Varone; Zain U. Hussain; Zakariya Sheikh; Adam Howard; Wadii Boulila; Mufti Mahmud; Newton Howard; Francesco Carlo Morabito; Amir Hussain 001 (Sensors, 2021)

Guest Editorial: Explainable artificial intelligence for sentiment analysis. - Erik Cambria; Akshi Kumar 001; Mahmoud Al-Ayyoub; Newton Howard (Knowl. Based Syst., 2022)

WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs. - Hoang Thang Ta; Abu Bakar Siddiqur Rahman; Navonil Majumder; Amir Hussain 001; Lotfollah Najjar; Newton Howard; Soujanya Poria; Alexander F. Gelbukh (Inf. Fusion, 2023)

Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units. - Murat Isik; Newton Howard; Sols Miziev; Wiktoria Pawlak (IJCNN, 2024)