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2020 – today
- 2024
[c35]Murat Isik, Newton Howard, Sols Miziev, Wiktoria Pawlak:
Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units. IJCNN 2024: 1-8- [i4]Murat Isik, Sols Miziev, Wiktoria Pawlak, Newton Howard:
Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units. CoRR abs/2403.11563 (2024) - 2023
- [j23]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: 265-282 (2023) - 2022
- [j22]Erik Cambria, Akshi Kumar, Mahmoud Al-Ayyoub, Newton Howard:
Guest Editorial: Explainable artificial intelligence for sentiment analysis. Knowl. Based Syst. 238: 107920 (2022) - [i3]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 abs/2209.13101 (2022) - 2021
- [j21]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): 637 (2021) - [c34]Yingxu Wang, Newton Howard, Ming Hou:
A Neuroinformatics Theory for Cognitive Neurorehabilitation. SMC 2021: 643-648 - [e5]Yingxu Wang, Jane Z. Wang, Henry Leung, Newton Howard, Paolo Soda, Bernard Widrow, Jerome A. Feldman:
20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2021, Banff, AB, Canada, October 29-31, 2021. IEEE 2021, ISBN 978-1-6654-2119-5 [contents] - 2020
- [j20]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: 16 (2020) - [c33]Yingxu Wang, Kostas N. Plataniotis, Z. Jane 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: 6-14
2010 – 2019
- 2019
- [j19]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) - [c32]Newton Howard:
The Future of the Brain and Beyond. ICCI*CC 2019: 2 - [c31]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: 7-12 - [c30]Yingxu Wang, Newton Howard:
The Spike Frequency Modulation (SFM) Theory for Neuroinformatics and Cognitive Cybernetics. SMC 2019: 2220-2224 - 2018
- [j18]Newton Howard, Amir Hussain:
The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry. Cogn. Comput. 10(3): 426-436 (2018) - [j17]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): 1-13 (2018) - [j16]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): 1-14 (2018) - [c29]Newton Howard:
The Future of the Human Brain. ICCI*CC 2018: 3 - [c28]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: 6-15 - [e4]Yingxu Wang, Sam Kwong, Jerome Feldman, Newton Howard, Phillip C.-Y. Sheu, Bernard Widrow:
17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2018, Berkeley, CA, USA, July 16-18, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-3360-1 [contents] - [i2]Louis Falissard, Guy Fagherazzi, Newton Howard, Bruno Falissard:
Deep clustering of longitudinal data. CoRR abs/1802.03212 (2018) - 2017
- [j15]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): 749-757 (2017) - [j14]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): 1-15 (2017) - [j13]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: 217-230 (2017) - [c27]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: 6-15 - [c26]Kia Dashtipour, Mandar Gogate, Ahsan Adeel, Abdulrahman Algarafi, Newton Howard, Amir Hussain:
Persian Named Entity Recognition. IEEE ICCI*CC 2017: 79-83 - [c25]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: 139-145 - [c24]Ashraya Samba Shiva, Mandar Gogate, Newton Howard, Bruce Graham, Amir Hussain:
Complex-valued computational model of hippocampal CA3 recurrent collaterals. IEEE ICCI*CC 2017: 161-166 - [e3]Newton Howard, Yingxu Wang, Amir Hussain, Freddie Hamdy, Bernard Widrow, Lotfi A. Zadeh:
16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2017, Oxford, United Kingdom, July 26-28, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-0771-8 [contents] - 2016
- [j12]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: 7940-7957 (2016) - [j11]Erik Cambria, Newton Howard, Yunqing Xia, Tat-Seng Chua:
Computational Intelligence for Big Social Data Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. 11(3): 8-9 (2016) - [j10]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): 1-20 (2016) - [j9]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: 50-59 (2016) - [c23]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: 240-250 - [e2]Yingxu Wang, Newton Howard, Bernard Widrow, Konstantinos N. Plataniotis, Lotfi A. Zadeh:
15th IEEE International Conference on Cognitive Informatics & Cognitive Computing ,ICCI*CC 2016, Palo Alto, CA, USA, August 22-23, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-3846-6 [contents] - [i1]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 abs/1612.05794 (2016) - 2015
- [j8]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): 50-69 (2015) - [c22]Newton Howard:
Rethinking Artificial Intelligence. ICCI*CC 2015: 1-2 - [e1]Ning Ge, Jianhua Lu, Yingxu Wang, Newton Howard, Philip Chen, Xiaoming Tao, Bo Zhang, Lotfi A. Zadeh:
14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2015, Beijing, China, July 6-8, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-7290-9 [contents] - 2014
- [j7]Ophir Nave, Yair Neuman, Leonid I. Perlovsky, Newton Howard:
How much information should we drop to become intelligent? Appl. Math. Comput. 245: 261-264 (2014) - [j6]Erik Cambria, Bebo White, Tariq S. Durrani, Newton Howard:
Computational Intelligence for Natural Language Processing [Guest Editorial]. IEEE Comput. Intell. Mag. 9(1): 19-63 (2014) - [j5]Newton Howard, Henry Lieberman:
BrainSpace: Relating Neuroscience to Knowledge About Everyday Life. Cogn. Comput. 6(1): 35-44 (2014) - [j4]Erik Cambria, Yangqiu Song, Haixun Wang, Newton Howard:
Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis. IEEE Intell. Syst. 29(2): 44-51 (2014) - [j3]Amir Hussain, Erik Cambria, Björn W. Schuller, Newton Howard:
Affective neural networks and cognitive learning systems for big data analysis. Neural Networks 58: 1-3 (2014) - [c21]Newton Howard, Louis Jehel, Romain Arnal:
Towards a differential diagnostic of PTSD using cognitive computing methods. ICCI*CC 2014: 9-20 - [c20]Soujanya Poria, Basant Agarwal, Alexander F. Gelbukh, Amir Hussain, Newton Howard:
Dependency-Based Semantic Parsing for Concept-Level Text Analysis. CICLing (1) 2014: 113-127 - [c19]Erik Cambria, Newton Howard:
Common and Common-Sense Knowledge Integration for Concept-Level Sentiment Analysis. FLAIRS 2014 - 2013
- [j2]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): 31-38 (2013) - [j1]Newton Howard, Erik Cambria:
Intention awareness: improving upon situation awareness in human-centric environments. Hum. centric Comput. Inf. Sci. 3: 9 (2013) - [c18]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: 328-334 - [c17]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: 1-5 - [c16]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: 60-65 - [c15]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: 108-117 - [c14]Newton Howard, Ross D. 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: 78-87 - [c13]Newton Howard:
Application of intention awareness and sentic computing for sensemaking in joint-cognitive systems. IEEE IA 2013: 1-4 - [c12]Soujanya Poria, Alexander F. Gelbukh, Amir Hussain, Sivaji Bandyopadhyay, Newton Howard:
Music Genre Classification: A Semi-supervised Approach. MCPR 2013: 254-263 - [c11]Newton Howard:
Approach Towards a Natural Language Analysis for Diagnosing Mood Disorders and Comorbid Conditions. MICAI (Special Sessions) 2013: 234-243 - [c10]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: 262-269 - [c9]Newton Howard:
The Twin Hypotheses - Brain Code and the Fundamental Code Unit: Towards Understanding the Computational Primitive Elements of Cortical Computing. MICAI (1) 2013: 430-463 - [c8]Soujanya Poria, Alexander F. Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard:
Common Sense Knowledge Based Personality Recognition from Text. MICAI (2) 2013: 484-496 - [c7]Soujanya Poria, Alexander F. Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard:
Erratum: Common Sense Knowledge Based Personality Recognition from Text. MICAI (2) 2013 - [c6]Newton Howard:
Toward understanding analogical mapping and ideological cataloguing in the brain: Poster paper. RCIS 2013: 1-2 - 2012
- [c5]Newton Howard, Sergey Kanareykin:
Intention awareness in cyber security. CyberSec 2012: 6-11 - [c4]Danny Livshitz, Newton Howard, Yair Neuman:
Can Computers Help Us to Better Understand Different Cultures? Toward a Computer-Based CULINT. EISIC 2012: 172-179 - [c3]Newton Howard:
Perception in International Conflict: An Agent-Based Approach. EISIC 2012: 259-262 - [c2]David E. A. Johnson, Newton Howard:
Network Intelligence: An Emerging Discipline. EISIC 2012: 287-288 - 2011
- [c1]Newton Howard:
Global Defense Policy System of Laws: Graph Theory Approach to Balance of Power Theory. EISIC 2011: 248-258
Coauthor Index
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last updated on 2024-10-07 21:26 CEST by the dblp team
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