Seng-Beng Ho

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 30

Top Topics

Artificial Intelligence

Inductive Learning

Sentiment Analysis

Causal Dependencies

Top Venues

Publications

Nicole Anne Teo Huiying, Zhaoxia Wang, Ezekiel En Zhe Ghe, Yee Sen Tan, Kevan Oktavio, Alexander Vincent Lewi, Allyne Zhang, Seng-Beng Ho
DLVS4Audio2Sheet: Deep Learning-Based Vocal Separation for Audio into Music Sheet Conversion. PAKDD (Workshops) (2024)
Seng-Beng Ho, Zhaoxia Wang, Boon-Kiat Quek, Erik Cambria
Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication. BICS (2023)
Zhaoxia Wang, Zhenda Hu, Fang Li, Seng-Beng Ho, Erik Cambria
Learning-Based Stock Trending Prediction by Incorporating Technical Indicators and Social Media Sentiment. Cogn. Comput. 15 (3) (2023)
Seng-Beng Ho
Why is That a Good or Not a Good Frying Pan? - Knowledge Representation for Functions of Objects and Tools for Design Understanding, Improvement, and Generation for Design Understanding, Improvement, and Generation. CoRR (2023)
Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho
Seven Pillars for the Future of Artificial Intelligence. IEEE Intell. Syst. 38 (6) (2023)
Zhaoxia Wang, Zhenda Hu, Seng-Beng Ho, Erik Cambria, Ah-Hwee Tan
MiMuSA - mimicking human language understanding for fine-grained multi-class sentiment analysis. Neural Comput. Appl. 35 (21) (2023)
Seng-Beng Ho
Why is that a Good or Not a Good Frying Pan? - Knowledge Representation for Functions of Objects and Tools for Design Understanding, Improvement, and Generation. SSCI (2023)
Autumn Teo, Zhaoxia Wang, Haibo Pen, Budhitama Subagdja, Seng-Beng Ho, Boon-Kiat Quek
Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge. ICDM (Workshops) (2023)
Jingfeng Cui, Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
Survey on sentiment analysis: evolution of research methods and topics. Artif. Intell. Rev. 56 (8) (2023)
Seng-Beng Ho
A General Framework for the Representation of Function and Affordance: A Cognitive, Causal, and Grounded Approach, and a Step Toward AGI. CoRR (2022)
Seng-Beng Ho, Zhaoxia Wang, Boon-Kiat Quek, Erik Cambria
Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication. CoRR (2022)
Zhenda Hu, Zhaoxia Wang, Seng-Beng Ho, Ah-Hwee Tan
Stock Market Trend Forecasting Based on Multiple Textual Features: A Deep Learning Method. ICTAI (2021)
Xiwen Yang, Seng-Beng Ho
Simultaneous Causal Noise Removal for Causal Rule Discovery and Learning. SSCI (2021)
Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
A review of emotion sensing: categorization models and algorithms. Multim. Tools Appl. 79 (47) (2020)
Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
Multi-Level Fine-Scaled Sentiment Sensing with Ambivalence Handling. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28 (4) (2020)
Seng-Beng Ho, Mark Edmonds, Song-Chun Zhu
Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics. SSCI (2020)
Seng-Beng Ho, Xiwen Yang, Therese Quieta
Achieving Human Expert Level Time Performance for Atari Games - A Causal Learning Approach. SSCI (2020)
Seng-Beng Ho, Xiwen Yang, Therese Quieta, Gangeshwar Krishnamurthy, Fiona Liausvia
On Human-like Performance Artificial Intelligence: A Demonstration Using an Atari Game. CVPR Workshops (2019)
Seng-Beng Ho, Zhaoxia Wang
Language and Robotics: Complex Sentence Understanding. ICIRA (6) (2019)
Seng-Beng Ho, Xiwen Yang, Therese Quieta, Gangeshwar Krishnamurthy, Fiona Liausvia
On Human-Like Performance Artificial Intelligence - A Demonstration Using an Atari Game. ICAIS (2) (2019)
Seng-Beng Ho, Zhaoxia Wang
On True Language Understanding. ICAIS (2) (2019)
Zhaoxia Wang, Seng-Beng Ho, Zhiping Lin
Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment. ICDM Workshops (2018)
Xiwen Yang, Seng-Beng Ho
Learning Correlations and Causalities Through an Inductive Bootstrapping Process. SSCI (2018)
Seng-Beng Ho
Causal Learning versus Reinforcement Learning for Knowledge Learning and Problem Solving. AAAI Workshops (2017)
Seng-Beng Ho, Fiona Liausvia
On Inductive Learning of Causal Knowledge for Problem Solving. AAAI Workshops (2017)
Seng-Beng Ho
The Role of Synchronic Causal Conditions in Visual Knowledge Learning. CVPR Workshops (2017)
Seng-Beng Ho
Principles of Noology: A Theory and Science of Intelligence for Natural and Artificial Intelligence. AAAI Spring Symposia (2017)
Seng-Beng Ho
A Principled Framework for General Adaptive Social Robotics. Int. J. Artif. Life Res. 6 (2) (2016)
Seng-Beng Ho
Cognitive Architecture for Adaptive Social Robotics. ICIRA (1) (2016)
Seng-Beng Ho, Fiona Liausvia
A ground level causal learning algorithm. SSCI (2016)
Seng-Beng Ho, Fiona Liausvia
A rapid learning and problem solving method: Application to the StarCraft game environment. CIHLI (2014)
Seng-Beng Ho
On Effective Causal Learning. AGI (2014)
Seng-Beng Ho
Operational Representation - A Unifying Representation for Activity Learning and Problem Solving. AAAI Fall Symposia (2013)
Laxmi R. Iyer, Seng-Beng Ho
Perception and prediction - A connectionist model. CIHLI (2013)
Seng-Beng Ho
A grand challenge for computational intelligence a micro-environment benchmark for adaptive autonomous intelligent agents. IEEE IA (2013)
Seng-Beng Ho
The Atoms of Cognition: Action Learning and Problem Solving. CogSci (2013)
Seng-Beng Ho, Fiona Liausvia
Knowledge Representation, Learning, and Problem Solving for General Intelligence. AGI (2013)
Seng-Beng Ho
The Atoms of Cognition: A Theory of Ground Epistemics. CogSci (2012)
Seng-Beng Ho, Charles R. Dyer
Shape Smoothing Using Medial Axis Properties. IEEE Trans. Pattern Anal. Mach. Intell. 8 (4) (1986)