Seng-Beng Ho

Orcid: 0000-0003-4839-1509

According to our database1, Seng-Beng Ho authored at least 37 papers between 1986 and 2024.

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Bibliography

2024
Joint Weakly Supervised Image Emotion Analysis Based on Interclass Discrimination and Intraclass Correlation.
IEEE Intell. Syst., 2024

DLVS4Audio2Sheet: Deep Learning-Based Vocal Separation for Audio into Music Sheet Conversion.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2024

2023
MiMuSA - mimicking human language understanding for fine-grained multi-class sentiment analysis.
Neural Comput. Appl., July, 2023

Seven Pillars for the Future of Artificial Intelligence.
IEEE Intell. Syst., 2023

Learning-Based Stock Trending Prediction by Incorporating Technical Indicators and Social Media Sentiment.
Cogn. Comput., 2023

Survey on sentiment analysis: evolution of research methods and topics.
Artif. Intell. Rev., 2023

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.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge.
Proceedings of the IEEE International Conference on Data Mining, 2023

Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023

2022
A General Framework for the Representation of Function and Affordance: A Cognitive, Causal, and Grounded Approach, and a Step Toward AGI.
CoRR, 2022

2021
Simultaneous Causal Noise Removal for Causal Rule Discovery and Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Stock Market Trend Forecasting Based on Multiple Textual Features: A Deep Learning Method.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
A review of emotion sensing: categorization models and algorithms.
Multim. Tools Appl., 2020

Multi-Level Fine-Scaled Sentiment Sensing with Ambivalence Handling.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020

Achieving Human Expert Level Time Performance for Atari Games - A Causal Learning Approach.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
Language and Robotics: Complex Sentence Understanding.
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

On Human-Like Performance Artificial Intelligence - A Demonstration Using an Atari Game.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

On True Language Understanding.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

2018
Learning Correlations and Causalities Through an Inductive Bootstrapping Process.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
The Role of Synchronic Causal Conditions in Visual Knowledge Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Principles of Noology: A Theory and Science of Intelligence for Natural and Artificial Intelligence.
Proceedings of the 2017 AAAI Spring Symposia, 2017

On Inductive Learning of Causal Knowledge for Problem Solving.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Causal Learning versus Reinforcement Learning for Knowledge Learning and Problem Solving.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Principled Framework for General Adaptive Social Robotics.
Int. J. Artif. Life Res., 2016

A ground level causal learning algorithm.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Cognitive Architecture for Adaptive Social Robotics.
Proceedings of the Intelligent Robotics and Applications - 9th International Conference, 2016

2014
A rapid learning and problem solving method: Application to the StarCraft game environment.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2014

On Effective Causal Learning.
Proceedings of the Artificial General Intelligence - 7th International Conference, 2014

2013
A grand challenge for computational intelligence a micro-environment benchmark for adaptive autonomous intelligent agents.
Proceedings of the 2013 IEEE Symposium on Intelligent Agents, 2013

The Atoms of Cognition: Action Learning and Problem Solving.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Perception and prediction - A connectionist model.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2013

Knowledge Representation, Learning, and Problem Solving for General Intelligence.
Proceedings of the Artificial General Intelligence - 6th International Conference, 2013

Operational Representation - A Unifying Representation for Activity Learning and Problem Solving.
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012
The Atoms of Cognition: A Theory of Ground Epistemics.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

1986
Shape Smoothing Using Medial Axis Properties.
IEEE Trans. Pattern Anal. Mach. Intell., 1986


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