activity
20162021
most citedPersonalized Course Sequence Recommendations

108 citations · 117 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2021★ 2 cited

Using DeepProbLog to perform Complex Event Processing on an Audio Stream

Marc Roig Vilamala, Tianwei Xing, Harrison Taylor +6

In this paper, we present an approach to Complex Event Processing (CEP) that is based on DeepProbLog. This approach has the following objectives: (i) allowing the use of subsymboli…

cs.AI2020★ 2 cited

An Experimentation Platform for Explainable Coalition Situational Understanding

Katie Barrett-Powell, Jack Furby, Liam Hiley +8

We present an experimentation platform for coalition situational understanding research that highlights capabilities in explainable artificial intelligence/machine learning (AI/ML)…

cs.AI2020★ 1 cited

A Hybrid Neuro-Symbolic Approach for Complex Event Processing

Marc Roig Vilamala, Harrison Taylor, Tianwei Xing +6

Training a model to detect patterns of interrelated events that form situations of interest can be a complex problem: such situations tend to be uncommon, and only sparse data is a…

cs.CV2017★ 4 cited

Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration

Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao +4

State-of-the-art convolutional neural networks are enormously costly in both compute and memory, demanding massively parallel GPUs for execution. Such networks strain the computati…

cs.CY2016★ 108 cited

Personalized Course Sequence Recommendations

Jie Xu, Tianwei Xing, Mihaela van der Schaar

Given the variability in student learning it is becoming increasingly important to tailor courses as well as course sequences to student needs. This paper presents a systematic met…