Mush: Multi-stimuli hawkes process based sybil attacker detector for user-review social networks
User-Review Social Networks (URSNs) now become the targets of Sybil attacks, where fake
reviews are posted by attackers to raise the reputation of listed services or products. Unlike …
reviews are posted by attackers to raise the reputation of listed services or products. Unlike …
Mitigating biases in student performance prediction via attention-based personalized federated learning
Traditional learning-based approaches to student modeling generalize poorly to
underrepresented student groups due to biases in data availability. In this paper, we …
underrepresented student groups due to biases in data availability. In this paper, we …
ProActive: Self-attentive temporal point process flows for activity sequences
V Gupta, S Bedathur - Proceedings of the 28th ACM SIGKDD Conference …, 2022 - dl.acm.org
Any human activity can be represented as a temporal sequence of actions performed to
achieve a certain goal. Unlike machine-made time series, these action sequences are highly …
achieve a certain goal. Unlike machine-made time series, these action sequences are highly …
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
Cognitive Diagnosis (CD), which leverages students and exercise data to predict students'
proficiency levels on different knowledge concepts, is one of fundamental components in …
proficiency levels on different knowledge concepts, is one of fundamental components in …
A survey on deep learning techniques for action anticipation
The ability to anticipate possible future human actions is essential for a wide range of
applications, including autonomous driving and human-robot interaction. Consequently …
applications, including autonomous driving and human-robot interaction. Consequently …
[图书][B] Artificial intelligence in education
The 22nd International Conference on Artificial Intelligence in Education (AIED 2021),
originally planned for Utrecht, the Netherlands, was held virtually during June 2021. AIED …
originally planned for Utrecht, the Netherlands, was held virtually during June 2021. AIED …
Curb Your Procrastination: A Study of Academic Procrastination Behaviors vs. A Planning and Time Management App
Procrastination is a major issue faced by students which can lead to negative impacts on
their academic performance and mental health. Productivity tools aim to help individuals to …
their academic performance and mental health. Productivity tools aim to help individuals to …
Multi-layer personalized federated learning for mitigating biases in student predictive analytics
YW Chu, S Hosseinalipour, E Tenorio… - … on Emerging Topics …, 2024 - ieeexplore.ieee.org
Conventional methods for student modeling, which involve predicting grades based on
measured activities, struggle to provide accurate results for minority/underrepresented …
measured activities, struggle to provide accurate results for minority/underrepresented …
Process-BERT: A framework for representation learning on educational process data
Educational process data, ie, logs of detailed student activities in computerized or online
learning platforms, has the potential to offer deep insights into how students learn. One can …
learning platforms, has the potential to offer deep insights into how students learn. One can …
Modeling Time-Series and Spatial Data for Recommendations and Other Applications
V Gupta - arXiv preprint arXiv:2212.13259, 2022 - arxiv.org
With the research directions described in this thesis, we seek to address the critical
challenges in designing recommender systems that can understand the dynamics of …
challenges in designing recommender systems that can understand the dynamics of …