A novel approach for accurate 2D-gel image segmentation
(2015)
Presentation / Conference Contribution
Outputs (302)
SpotDSQ: A 2D-Gel Image Analysis Tool for Protein Spot Detection, Segmentation and Quantification (2019)
Presentation / Conference Contribution
SNPs-based Hypertension Disease Detection via Machine Learning Techniques (2018)
Presentation / Conference Contribution
What Should be Considered in Group Formation for Open-end Tasks? (2020)
Presentation / Conference Contribution
In this paper, we analyze learner data of 157 students in a cooperative learning course. The relation between learner attributes of the group member and group cooperative learning performance are explored. The analysis results suggest that the group... Read More about What Should be Considered in Group Formation for Open-end Tasks?.
Perceptual video quality evaluation by means of physiological signals (2017)
Presentation / Conference Contribution
Enhancing the performance of a microarray gridding algorithm via GPU computing techniques (2013)
Presentation / Conference Contribution
Contourlet Transform and Support Vector Machines for Image Analysis and Processing (2010)
Presentation / Conference Contribution
On using EEG signals for emotion modeling and biometrics (2019)
Presentation / Conference Contribution
ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems (2019)
Presentation / Conference Contribution
Affect Detection for Human-Horse Interaction (2018)
Presentation / Conference Contribution
A GPU vs CPU performance evaluation of an experimental video compression algorithm (2015)
Presentation / Conference Contribution
A contourlet transform based algorithm for real-time video encoding (2012)
Presentation / Conference Contribution
A Generative Bayesian Graph Attention Network for Semi-supervised Classification on Scarce Data (2021)
Presentation / Conference Contribution
This research focuses on semi-supervised classification tasks, specifically for graph-structured data under datascarce situations. It is known that the performance of conventional supervised graph convolutional models is mediocre at classification ta... Read More about A Generative Bayesian Graph Attention Network for Semi-supervised Classification on Scarce Data.
Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation (2018)
Presentation / Conference Contribution
This paper discusses about learning methods to overcome stress or pressure. We had an experiment in which learners were given a quiz game for each learner to need responsibility for their team. Each learner was also given learning time for the game s... Read More about Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation.
Early Predictor for Student Success Based on Behavioural and Demographical Indicators (2021)
Presentation / Conference Contribution
As the largest distance learning university in the UK, the Open University has more than 250,000 students enrolled, making it also the largest academic institute in the UK. However, many students end up failing or withdrawing from online courses, whi... Read More about Early Predictor for Student Success Based on Behavioural and Demographical Indicators.
A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns (2021)
Presentation / Conference Contribution
Recently, methods enabling humans and Artificial Intelligent (AI) agents to collaborate towards improving the efficiency of Reinforcement Learning - also called Collaborative Reinforcement Learning (CRL) - have been receiving increasing attention. In... Read More about A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns.
Automatic Subject-based Contextualisation of Programming Assignment Lists (2020)
Presentation / Conference Contribution
As programming must be learned by doing, introductory programming course learners need to solve many problems, e.g., on systems such as ’Online Judges’. However, as such courses are often compulsory for non-Computer Science (nonCS) undergraduates, th... Read More about Automatic Subject-based Contextualisation of Programming Assignment Lists.
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums (2021)
Presentation / Conference Contribution
Massive Open Online Courses (MOOCs) have become a popular choice for e-learning thanks to their great flexibility. However, due to large numbers of learners and their diverse backgrounds, it is taxing to offer real-time support. Learners may post the... Read More about Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.
The Critical Role of Profiles in Social E-Learning Design (2014)
Presentation / Conference Contribution
Evidence points to the fact that the integration of Social Networking Sites (SNS) features, into e-learning environments has been highly accepted by students, because of its benefits of improving the learning experience. Yet, not enough attention has... Read More about The Critical Role of Profiles in Social E-Learning Design.
A Taxonomy-Based Evaluation of Personalized E-Advertisement (2015)
Presentation / Conference Contribution
The art of personalized e-advertising relies in attracting a user attention to the recommended product, as it relates to their taste, interest and data. Whilst in practice, companies attempt various forms of personalization, research of e-advertising... Read More about A Taxonomy-Based Evaluation of Personalized E-Advertisement.