Newton Howard

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 31

Top Topics

Sentiment Analysis

Tumor Segmentation

Cognitive Computing

Churn Prediction

Top Venues

Int. J. Cogn. Informatics Nat. Intell.

Publications

Murat Isik, Sols Miziev, Wiktoria Pawlak, Newton Howard
Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units. CoRR (2024)
Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder, Amir Hussain, Lotfollah Najjar, Newton Howard, Soujanya Poria, Alexander F. Gelbukh
WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs. Inf. Fusion 90 (2023)
Erik Cambria, Akshi Kumar, Mahmoud Al-Ayyoub, Newton Howard
Guest Editorial: Explainable artificial intelligence for sentiment analysis. Knowl. Based Syst. 238 (2022)
Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder, Amir Hussain, Lotfollah Najjar, Newton Howard, Soujanya Poria, Alexander F. Gelbukh
WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs. CoRR (2022)
Giuseppe Varone, Zain U. Hussain, Zakariya Sheikh, Adam Howard, Wadii Boulila, Mufti Mahmud, Newton Howard, Francesco Carlo Morabito, Amir Hussain
Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures. Sensors 21 (2) (2021)
Yingxu Wang, Newton Howard, Ming Hou
A Neuroinformatics Theory for Cognitive Neurorehabilitation. SMC (2021)
Newton Howard, Naima Chouikhi, Ahsan Adeel, Katelyn Dial, Adam Howard, Amir Hussain
BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework. Frontiers Comput. Neurosci. 14 (2020)
Yingxu Wang, Kostas N. Plataniotis, Jane Z. Wang, Ming Hou, MengChu Zhou, Newton Howard, Jun Peng, Runhe Huang, Shushma Patel, Du Zhang
The Cognitive and Mathematical Foundations of Analytic Epidemiology. IEEE ICCI*CC (2020)
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
On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence. ICCI*CC (2019)
Newton Howard
The Future of the Brain and Beyond. ICCI*CC (2019)
Mohamed Elgendi, Richard Ribón Fletcher, Yongbo Liang, Newton Howard, Nigel H. Lovell, Derek Abbott, Kenneth Lim, Rabab Ward
The use of photoplethysmography for assessing hypertension. npj Digit. Medicine 2 (2019)
Yingxu Wang, Newton Howard
The Spike Frequency Modulation (SFM) Theory for Neuroinformatics and Cognitive Cybernetics. SMC (2019)
Louis Falissard, Guy Fagherazzi, Newton Howard, Bruno Falissard
Deep clustering of longitudinal data. CoRR (2018)
Yingxu Wang, Newton Howard, Janusz Kacprzyk, Ophir Frieder, Phillip C.-Y. Sheu, Rodolfo A. Fiorini, Marina L. Gavrilova, Shushma Patel, Jun Peng, Bernard Widrow
Cognitive Informatics: Towards Cognitive Machine Learning and Autonomous Knowledge Manipulation. Int. J. Cogn. Informatics Nat. Intell. 12 (1) (2018)
Newton Howard, Amir Hussain
The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry. Cogn. Comput. 10 (3) (2018)
Yingxu Wang, Victor Raskin, Julia Rayz, George Baciu, Aladdin Ayesh, Fumio Mizoguchi, Shusaku Tsumoto, Dilip Patel, Newton Howard
Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems. Int. J. Softw. Sci. Comput. Intell. 10 (1) (2018)
Newton Howard
The Future of the Human Brain. ICCI*CC (2018)
Yingxu Wang, Henry Leung, Marina L. Gavrilova, Omar A. Zatarain, Daniel Graves, Jianhua Lu, Newton Howard, Sam Kwong, Phillip C.-Y. Sheu, Shushma Patel
A Survey and Formal Analyses on Sequence Learning Methodologies and Deep Neural Networks. ICCI*CC (2018)
Jeroen H. M. Bergmann, Joan Fei, David A. Green, Amir Hussain, Newton Howard
A Bayesian Assessment of Real-World Behavior During Multitasking. Cogn. Comput. 9 (6) (2017)
Yingxu Wang, Mehrdad Valipour, Omar A. Zatarain, Marina L. Gavrilova, Amir Hussain, Newton Howard, Shushma Patel
Formal Ontology Generation by deep machine learning. IEEE ICCI*CC (2017)
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
Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering. Int. J. Cogn. Informatics Nat. Intell. 11 (1) (2017)
Ashraya Samba Shiva, Mandar Gogate, Newton Howard, Bruce Graham, Amir Hussain
Complex-valued computational model of hippocampal CA3 recurrent collaterals. IEEE ICCI*CC (2017)
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
Machine learning based computer-aided diagnosis of liver tumours. IEEE ICCI*CC (2017)
Kia Dashtipour, Mandar Gogate, Ahsan Adeel, Abdulrahman Algarafi, Newton Howard, Amir Hussain
Persian Named Entity Recognition. IEEE ICCI*CC (2017)
Soujanya Poria, Haiyun Peng, Amir Hussain, Newton Howard, Erik Cambria
Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. Neurocomputing 261 (2017)
Liaqat Ali, Amir Hussain, Jingpeng Li, Newton Howard, Amir A. Shah, Unnam Sudhakar, Moiz Ali Shah, Zain U. Hussain
A Novel Fully Automated Liver and HCC Tumor Segmentation System Using Morphological Operations. BICS (2016)
Adnan Amin, Sajid Anwar, Awais Adnan, Muhammad Nawaz, Newton Howard, Junaid Qadir, Ahmad Y. A. Hawalah, Amir Hussain
Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study. IEEE Access 4 (2016)
Zeeshan Khawar Malik, Zain U. Hussain, Ziad Kobti, Charlie W. Lees, Newton Howard, Amir Hussain
A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study. CoRR (2016)
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
Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems. Int. J. Cogn. Informatics Nat. Intell. 10 (4) (2016)
Soujanya Poria, Erik Cambria, Newton Howard, Guang-Bin Huang, Amir Hussain
Fusing audio, visual and textual clues for sentiment analysis from multimodal content. Neurocomputing 174 (2016)
Erik Cambria, Newton Howard, Yunqing Xia, Tat-Seng Chua
Computational Intelligence for Big Social Data Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. 11 (3) (2016)
Yingxu Wang, Edmund T. Rolls, Newton Howard, Victor Raskin, Witold Kinsner, Fionn Murtagh, Virendrakumar C. Bhavsar, Shushma Patel, Dilip Patel, Duane F. Shell
Cognitive Informatics and Computational Intelligence: From Information Revolution to Intelligence Revolution. Int. J. Softw. Sci. Comput. Intell. 7 (2) (2015)
Newton Howard
Rethinking Artificial Intelligence. ICCI*CC (2015)
Erik Cambria, Yangqiu Song, Haixun Wang, Newton Howard
Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis. IEEE Intell. Syst. 29 (2) (2014)
Soujanya Poria, Basant Agarwal, Alexander F. Gelbukh, Amir Hussain, Newton Howard
Dependency-Based Semantic Parsing for Concept-Level Text Analysis. CICLing (1) (2014)
Newton Howard, Henry Lieberman
BrainSpace: Relating Neuroscience to Knowledge About Everyday Life. Cogn. Comput. 6 (1) (2014)
Newton Howard, Louis Jehel, Romain Arnal
Towards a differential diagnostic of PTSD using cognitive computing methods. ICCI*CC (2014)
Amir Hussain, Erik Cambria, Björn W. Schuller, Newton Howard
Affective neural networks and cognitive learning systems for big data analysis. Neural Networks 58 (2014)
Ophir Nave, Yair Neuman, Leonid I. Perlovsky, Newton Howard
How much information should we drop to become intelligent? Appl. Math. Comput. 245 (2014)
Erik Cambria, Bebo White, Tariq S. Durrani, Newton Howard
Computational Intelligence for Natural Language Processing [Guest Editorial]. IEEE Comput. Intell. Mag. 9 (1) (2014)
Erik Cambria, Newton Howard
Common and Common-Sense Knowledge Integration for Concept-Level Sentiment Analysis. FLAIRS Conference (2014)
Soujanya Poria, Alexander F. Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard
Erratum: Common Sense Knowledge Based Personality Recognition from Text. MICAI (2) (2013)
Soujanya Poria, Alexander F. Gelbukh, Amir Hussain, Newton Howard, Dipankar Das, Sivaji Bandyopadhyay
Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining. IEEE Intell. Syst. 28 (2) (2013)
Newton Howard
Application of intention awareness and sentic computing for sensemaking in joint-cognitive systems. IEEE IA (2013)
Newton Howard
Toward understanding analogical mapping and ideological cataloguing in the brain: Poster paper. RCIS (2013)
Soujanya Poria, Alexander F. Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard
Common Sense Knowledge Based Personality Recognition from Text. MICAI (2) (2013)
Newton Howard, Ross Pollock, Joe Prinold, Joydeep Sinha, Di Newham, Jeroen H. M. Bergmann
Effect of Impairment on Upper Limb Performance in an Ageing Sample Population. HCI (7) (2013)
Newton Howard, Erik Cambria
Intention awareness: improving upon situation awareness in human-centric environments. Hum. centric Comput. Inf. Sci. 3 (2013)
D. De Boer, O. S. van Rheenen, E. van Zelm, R. P. H. M. Bergmann, Jeroen H. M. Bergmann, Newton Howard
Design considerations for a wearable sensor network that measures accelerations during Water-Ski jumping. BSN (2013)
Erik Cambria, Newton Howard, Jane Yung-jen Hsu, Amir Hussain
Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics. CIHLI (2013)
Newton Howard, Jeroen H. M. Bergmann, Rebecca Howard
Examining Everyday Speech and Motor Symptoms of Parkinson's Disease for Diagnosis and Progression Tracking. MICAI (Special Sessions) (2013)
Soujanya Poria, Alexander F. Gelbukh, Amir Hussain, Sivaji Bandyopadhyay, Newton Howard
Music Genre Classification: A Semi-supervised Approach. MCPR (2013)
Newton Howard
The Twin Hypotheses - Brain Code and the Fundamental Code Unit: Towards Understanding the Computational Primitive Elements of Cortical Computing. MICAI (1) (2013)
Newton Howard
Approach Towards a Natural Language Analysis for Diagnosing Mood Disorders and Comorbid Conditions. MICAI (Special Sessions) (2013)
Lisa Gandy, Nadji Allan, Mark Atallah, Ophir Frieder, Newton Howard, Sergey Kanareykin, Moshe Koppel, Mark Last, Yair Neuman, Shlomo Argamon
Automatic Identification of Conceptual Metaphors With Limited Knowledge. AAAI (2013)
Dan Assaf, Yair Neuman, Yohai Cohen, Shlomo Argamon, Newton Howard, Mark Last, Ophir Frieder, Moshe Koppel
Why "dark thoughts" aren't really dark: A novel algorithm for metaphor identification. CCMB (2013)
David E. A. Johnson, Newton Howard
Network Intelligence: An Emerging Discipline. EISIC (2012)
Newton Howard, Sergey Kanareykin
Intention awareness in cyber security. CyberSec (2012)
Newton Howard
Perception in International Conflict: An Agent-Based Approach. EISIC (2012)
Danny Livshitz, Newton Howard, Yair Neuman
Can Computers Help Us to Better Understand Different Cultures? Toward a Computer-Based CULINT. EISIC (2012)
Newton Howard
Global Defense Policy System of Laws: Graph Theory Approach to Balance of Power Theory. EISIC (2011)