43 citations · 73 across the 13 of their papers we have counts for
13 papers
cardinalR: Generating Interesting High-Dimensional Data Structures
Jayani P. Gamage, Dianne Cook, Paul Harrison +2
Simulated high-dimensional data is useful for testing, validating, and improving algorithms used in dimension reduction, supervised and unsupervised learning. High-dimensional data…
quollr: An R Package for Visualizing 2-D Models from Nonlinear Dimension Reductions in High-Dimensional Space
Jayani P. Gamage, Dianne Cook, Paul Harrison +2
Nonlinear dimension reduction methods provide a low-dimensional representation of high-dimensional data by applying a Nonlinear transformation. However, the complexity of the trans…
Relationship Between Leisure Activities, Stress Management Methods, Study Methods, and Methods of Learning New Things Among First-Year Statistics Students
Thiyanga S. Talagala
The interplay between leisure activities, stress management methods, studying methods, and methods of learning new things is crucial and affects performance in all aspects of life.…
Choosing Better NLDR Layouts by Evaluating the Model in the High-dimensional Data Space
Jayani P. Gamage, Dianne Cook, Paul Harrison +2
Nonlinear dimension reduction (NLDR) techniques such as tSNE, and UMAP provide a low-dimensional representation of high-dimensional data () by applying a nonlinear tran…
tsdataleaks: An R Package to Detect Potential Data Leaks in Forecasting Competitions
Thiyanga S. Talagala
Forecasting competitions are of increasing importance as a means to learn best practices and gain knowledge. Data leakage is one of the most common issues that can often be found i…
ceylon: An R package for plotting the maps of Sri Lanka
Thiyanga S. Talagala
The rapid evolution in the fields of computer science, data science, and artificial intelligence has significantly transformed the utilisation of data for decision-making. Data vis…
scatteR: Generating instance space based on scagnostics
Janith C. Wanniarachchi, Thiyanga S. Talagala
Traditional synthetic data generation methods rely on model-based approaches that tune the parameters of a model rather than focusing on the structure of the data itself. In contra…
Interactive Dashboard to Monitor the COVID-19 Outbreak and Vaccine Administration
Thiyanga S. Talagala, Randi Shashikala
Dashboards are the most common visualization method for displaying COVID-19 data and informing the public. We examined 15 different dashboards to see how various visualization tech…
COVID-19 and Online Learning Tools
Priyanga Dilini Talagala, Thiyanga S. Talagala
Distance education has a long history. However, COVID-19 has created a new era of distance education. Due to the increasing demand, various distance learning solutions have been in…
Hierarchical Forecasting of Dengue Incidence in Sri Lanka
L. S. Madushani, Thiyanga S. Talagala
The recurrent thread of dengue incidence in Sri Lanka is still abundant and it creates a huge burden to the country. Hence, the National Dengue Control Unit of Sri Lanka propose a…
Computer-aided Interpretable Features for Leaf Image Classification
Jayani P. G. Lakshika, Thiyanga S. Talagala
Plant species identification is time consuming, costly, and requires lots of efforts, and expertise knowledge. In recent, many researchers use deep learning methods to classify pla…
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organ…
FFORMPP: Feature-based forecast model performance prediction
Thiyanga S. Talagala, Feng Li, Yanfei Kang
This paper introduces a novel meta-learning algorithm for time series forecast model performance prediction. We model the forecast error as a function of time series features calcu…