Newton Howard

According to our database, Newton Howard authored at least 60 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2024

Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units.

Murat Isik, Newton Howard, Sols Miziev, Wiktoria Pawlak

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs.

Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder, Amir Hussain, Lotfollah Najjar, Newton Howard, Soujanya Poria, Alexander F. Gelbukh

Inf. Fusion, 2023

2022

Guest Editorial: Explainable artificial intelligence for sentiment analysis.

Erik Cambria, Akshi Kumar, Mahmoud Al-Ayyoub, Newton Howard

Knowl. Based Syst., 2022

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

Sensors, 2021

A Neuroinformatics Theory for Cognitive Neurorehabilitation.

Yingxu Wang, Newton Howard, Ming Hou

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020

BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework.

Newton Howard, Naima Chouikhi, Ahsan Adeel, Katelyn Dial, Adam Howard, Amir Hussain

Frontiers Comput. Neurosci., 2020

The Cognitive and Mathematical Foundations of Analytic Epidemiology.

Yingxu Wang, Kostas N. Plataniotis, Z. Jane Wang, Ming Hou, MengChu Zhou, Newton Howard, Jun Peng, Runhe Huang, Shushma Patel, Du Zhang

Proceedings of the 19th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2020

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 Spike Frequency Modulation (SFM) Theory for Neuroinformatics and Cognitive Cybernetics.

Yingxu Wang, Newton Howard

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence.

Yingxu Wang, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Svetlana N. Yanushkevich, Fakhri Karray, Ming Hou, Newton Howard, Rodolfo A. Fiorini, Paolo Soda, Edward W. Tunstel, Jianmin Wang, Shushma Patel

Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

The Future of the Brain and Beyond.

Newton Howard

Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

2018

Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems.

Yingxu Wang, Victor Raskin, Julia Rayz, George Baciu, Aladdin Ayesh, Fumio Mizoguchi, Shusaku Tsumoto, Dilip Patel, Newton Howard

Int. J. Softw. Sci. Comput. Intell., 2018

Cognitive Informatics: Towards Cognitive Machine Learning and Autonomous Knowledge Manipulation.

Yingxu Wang, 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

Deep clustering of longitudinal data.

Louis Falissard, Guy Fagherazzi, Newton Howard, Bruno Falissard

CoRR, 2018

The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry.

Newton Howard, Amir Hussain

Cogn. Comput., 2018

A Survey and Formal Analyses on Sequence Learning Methodologies and Deep Neural Networks.

Yingxu Wang, Henry Leung, Marina L. Gavrilova, Omar A. Zatarain, Daniel Graves, Jianhua Lu, Newton Howard, Sam Kwong, Phillip C.-Y. Sheu, Shushma Patel

Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

The Future of the Human Brain.

Newton Howard

Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

2017

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis.

Soujanya Poria, Haiyun Peng, Amir Hussain, Newton Howard, Erik Cambria

Neurocomputing, 2017

Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering.

Yingxu Wang, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu, D. Frank Hsu, Guiming Luo, Fumio Mizoguchi, Shushma Patel, Victor Raskin, Shusaku Tsumoto, Wei Wei, Du Zhang

Int. J. Cogn. Informatics Nat. Intell., 2017

A Bayesian Assessment of Real-World Behavior During Multitasking.

Jeroen H. M. Bergmann, Joan Fei, David A. Green, Amir Hussain, Newton Howard

Cogn. Comput., 2017

Formal Ontology Generation by deep machine learning.

Yingxu Wang, Mehrdad Valipour, Omar A. Zatarain, Marina L. Gavrilova, Amir Hussain, Newton Howard, Shushma Patel

Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

Complex-valued computational model of hippocampal CA3 recurrent collaterals.

Ashraya Samba Shiva, Mandar Gogate, Newton Howard, Bruce Graham, Amir Hussain

Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

Persian Named Entity Recognition.

Kia Dashtipour, Mandar Gogate, Ahsan Adeel, Abdulrahman Algarafi, Newton Howard, Amir Hussain

Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

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

Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

2016

Fusing audio, visual and textual clues for sentiment analysis from multimodal content.

Soujanya Poria, Erik Cambria, Newton Howard, Guang-Bin Huang, Amir Hussain

Neurocomputing, 2016

Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems.

Yingxu Wang, 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

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

CoRR, 2016

Computational Intelligence for Big Social Data Analysis [Guest Editorial].

Erik Cambria, Newton Howard, Yunqing Xia, Tat-Seng Chua

IEEE Comput. Intell. Mag., 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, Ahmad Y. A. Hawalah, Amir Hussain

IEEE Access, 2016

A Novel Fully Automated Liver and HCC Tumor Segmentation System Using Morphological Operations.

Liaqat Ali, Amir Hussain, Jingpeng Li, Newton Howard, Amir A. Shah, Unnam Sudhakar, Moiz Ali Shah, Zain U. Hussain

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2015

Cognitive Informatics and Computational Intelligence: From Information Revolution to Intelligence Revolution.

Yingxu Wang, 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

Rethinking Artificial Intelligence.

Newton Howard

Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

2014

Affective neural networks and cognitive learning systems for big data analysis.

Amir Hussain, Erik Cambria, Björn W. Schuller, Newton Howard

Neural Networks, 2014

Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis.

Erik Cambria, Yangqiu Song, Haixun Wang, Newton Howard

IEEE Intell. Syst., 2014

BrainSpace: Relating Neuroscience to Knowledge About Everyday Life.

Newton Howard, Henry Lieberman

Cogn. Comput., 2014

Computational Intelligence for Natural Language Processing [Guest Editorial].

Erik Cambria, Bebo White, Tariq S. Durrani, Newton Howard

IEEE Comput. Intell. Mag., 2014

How much information should we drop to become intelligent?

Ophir Nave, Yair Neuman, Leonid I. Perlovsky, Newton Howard

Appl. Math. Comput., 2014

Common and Common-Sense Knowledge Integration for Concept-Level Sentiment Analysis.

Erik Cambria, Newton Howard

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Dependency-Based Semantic Parsing for Concept-Level Text Analysis.

Soujanya Poria, Basant Agarwal, Alexander F. Gelbukh, Amir Hussain, Newton Howard

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

Towards a differential diagnostic of PTSD using cognitive computing methods.

Newton Howard, Louis Jehel, Romain Arnal

Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014

2013

Intention awareness: improving upon situation awareness in human-centric environments.

Newton Howard, Erik Cambria

Hum. centric Comput. Inf. Sci., 2013

Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining.

Soujanya Poria, Alexander F. Gelbukh, Amir Hussain, Newton Howard, Dipankar Das, Sivaji Bandyopadhyay

IEEE Intell. Syst., 2013

Toward understanding analogical mapping and ideological cataloguing in the brain: Poster paper.

Newton Howard

Proceedings of the IEEE 7th International Conference on Research Challenges in Information Science, 2013

Erratum: Common Sense Knowledge Based Personality Recognition from Text.

Soujanya Poria, Alexander F. Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard

Proceedings of the Advances in Soft Computing and Its Applications, 2013

Common Sense Knowledge Based Personality Recognition from Text.

Soujanya Poria, Alexander F. Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard

Proceedings of the Advances in Soft Computing and Its Applications, 2013

Examining Everyday Speech and Motor Symptoms of Parkinson's Disease for Diagnosis and Progression Tracking.

Newton Howard, Jeroen H. M. Bergmann, Rebecca Howard

Proceedings of the 12th Mexican International Conference on Artificial Intelligence, 2013

Approach Towards a Natural Language Analysis for Diagnosing Mood Disorders and Comorbid Conditions.

Newton Howard

Proceedings of the 12th Mexican International Conference on Artificial Intelligence, 2013

The Twin Hypotheses - Brain Code and the Fundamental Code Unit: Towards Understanding the Computational Primitive Elements of Cortical Computing.

Newton Howard

Proceedings of the Advances in Artificial Intelligence and Its Applications, 2013

Music Genre Classification: A Semi-supervised Approach.

Soujanya Poria, Alexander F. Gelbukh, Amir Hussain, Sivaji Bandyopadhyay, Newton Howard

Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013

Application of intention awareness and sentic computing for sensemaking in joint-cognitive systems.

Newton Howard

Proceedings of the 2013 IEEE Symposium on Intelligent Agents, 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

Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2013

Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics.

Erik Cambria, Newton Howard, Jane Yung-jen Hsu, Amir Hussain

Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 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

Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 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

Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

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

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Can Computers Help Us to Better Understand Different Cultures? Toward a Computer-Based CULINT.

Danny Livshitz, Newton Howard, Yair Neuman

Proceedings of the 2012 European Intelligence and Security Informatics Conference, 2012

Network Intelligence: An Emerging Discipline.

David E. A. Johnson, Newton Howard

Proceedings of the 2012 European Intelligence and Security Informatics Conference, 2012

Perception in International Conflict: An Agent-Based Approach.

Newton Howard

Proceedings of the 2012 European Intelligence and Security Informatics Conference, 2012

Intention awareness in cyber security.

Newton Howard, Sergey Kanareykin

Proceedings of the 2012 International Conference on Cyber Security, 2012

2011

Global Defense Policy System of Laws: Graph Theory Approach to Balance of Power Theory.

Newton Howard

Proceedings of the European Intelligence and Security Informatics Conference, 2011