Completed Students
Masters by Research
- Guohang Zeng (2022).
Generating Deep Network Explanations with Robust Attribution Alignment.
- Sukarna Barua (2019).
Towards improving the network architecture of GANs and their evaluation methods.
- Zakaria Mhammedi (2017).
Efficient orthogonal parametrisation of recurrent neural networks using householder reflections.
- Kushani Perera (2015).
User Centric Cellular Trajectory Inference with Partial Knowledge.
- Mei Ma (2010).
Multi-Resolution Indexing Method for Time
Series.
- Roger Ming Hieng Ting (2007). Minimal Minimal Contrast Subgraph Patterns.
- Zhou Zhu (2005). Fast Computation of
Interesting Collections of Web Services.
- Thomas Manoukian (2004). High Performance Algorithms
for Discovering Emerging Patterns.
PhD
- Daniel Gould (2024): Optimising Preoperative Decision-Making in Total Knee Arthroplasty Using a Machine Learning Approach
- Mahtab Mirmomeni (2023):
Detection of Repeating Activities Recorded by Sensors in the Absence of Labeled Data.
- Jiabo He (2022): Towards Robust Medical Machine Learning.
- Anam Khan (2022):
Gaze and Voice Assisted Note-taking: Towards Improved Digital Text Comprehension.
- Sadaf Afrashteh (2022): The Role of Explanations in Enhancing Algorithmic Fairness Perceptions.
- Sadia Nawaz (2021):
Learning Analytics: Towards Identifying Students' Confusion and Task Difficulties.
- Namrata Srivastava (2021):
Towards Sensor-based Learning
Analytics: A Contactless Approach.
- Tahrima Hashem (2021):
Towards Developing Theoretical Foundations for Personalisation: Local
Intrinsic Dimensionality Perspective.
-
Ziad Al Bkhetan (2021):
Optimisation of phasing: towards
improved haplotype-based genetic
investigations
- Donia Malekian (2020):
Temporal Analytics for Understanding Students' Study Behaviours in Digital Educational Environments.
- Yunzhe Jia (2020): Pattern Aided Explainable Machine Learning.
- Somayeh Naderivesal (2019):
Effective, Efficient and Private Similarity Search in Spatiotemporal Trajectory Datasets.
-
Yali Zhao (2020):
Profit Optimization of Resource Management
for Big Data Analytics-as-a-Service Platforms
in Cloud Computing Environments.
- Shuo Zhou (2019):
On Dynamic Tensor Decompositions
- Florin Schimbinschi (2019): Autoregressive Generative Models and
Multi-Task Learning
with
Convolutional Neural Networks
- Xingjun Ma (2019): Machine Learning with Adversarial Perturbations and Noisy Labels
- Mohadeseh Ganji (2018): Semi-supervised community detection and clustering.
- Yamuna Kankanige (2018): Building better predictive models for health-related outcomes.
- Jiazhen He (2017):
Machine Learning for Feedback in Massive Open Online Courses.
- Yang Lei (2016):
Cluster Validation and Discovery of Multiple Clusterings.
- Elham Naghizadeh (2016):
Utility-aware Protection of Trajectory Privacy.
- Simone Romano (2016): Design and Adjustment of Dependency Measures.
- Tanusri Bhattacharya (2016):
Ubiquitous Point of Interest Mining through Smartphone Sensors.
- Sergey Demyanov (2015):
Regularization methods for neural networks and related models.
- Yun Zhou (2015): Real-time Feedback for Surgical Simulation Using Data Mining.
- Yuxuan Li (2015):
Mining Gap-Constrained Sequential Patterns in Certain and Uncertain Databases.
- Goce Ristanoski (2014):
Distribution enhanced data mining methods for time series forecasting.
- Andrey Kan (2013):
Automated Analysis of Time Lapse Microscopy Images.
- Raj Kumar Gaire (2012):
Effective Integration of Diverse Biological Datasets for Better Understanding of Cancer.
- Jan Schroder (2012): Analysis and Correction of Short Read Data.
- Geoffrey MacIntyre (2011):
Computational methods for
understanding the molecular
mechanisms governing
transcriptional regulation in humans.
- Bader Nasser Aljaber (2011): Investigating the power of citation contexts for document retrieval
and classification.
- Maruf Hossain (2009): Using ROC Curves to Improve Classification with Applications to
Gene Expression Data.
- Jeffrey Chan (2009):
Discovering Regions of Correlated Change in Dynamic Graphs.
- Elsa Loekito (2009): Mining Simple and Complex Patterns Efficiently Using
Binary Decision Diagrams.
-
Eric Bae (2009): On Clustering Comparison and Alternate Clustering Generation.
-
Xiaonan Ji (2008):
Constraint Based Sequential Pattern Mining and its Applications.
- Ce Dong (2007): Optimisation and Analysis of XML Transformations.