Graph data are of growing importance in many recent applications. There are many systems proposed in the last decade for graph processing and analysis. Unfortunately, with the exception of RDF stores, every system uses different datasets and queries to assess its scalability and efficiency. This makes it challenging (and sometimes impossible) to conduct a meaningful comparison. Our aim is to cl...

The ALTA shared task ran for the third time in 2012, with the aim of bringing research students together to work on the same task and data set, and compare their methods in a current research problem. The task was based on a recent study to build classifiers for automatically labeling sentences to a pre-defined set of categories, in the domain of Evidence Based Medicine (EBM). The partaking gro...

Metamodeling, i.e. building surrogate models to expensive blackbox functions, is an interesting way to reduce the computational burden for optimization purpose. Kriging is a popular metamodel based on Gaussian Process theory, whose statistical properties have been exploited to build efficient global optimization algorithms. Single and multi-objective extensions have been proposed to deal with c...

Being able to assess the scalability of Web and e-commerce sites is a challenge. The Transaction Processing Council (TPC) recently released a benchmark for e-commerce sites. This benchmark, called TPC-W, measures a system under test using Web Interactions per Second (WIPS) as its primary metric. This paper describes the benchmark's main features, the authors’ experience in building a TPC-W comp...

The development of robust and accurate methods for automatic building detection and regularisation using multisource data continues to be a challenge due to point cloud sparsity, high spectral variability, urban objects differences, surrounding complexity, and data misalignment. To address these challenges, constraints on object’s size, height, area, and orientation are generally benefited whic...

Code understanding is an increasingly important application of Artificial Intelligence. A fundamental aspect code text about code, e.g., documentation and forum discussions. Pre-trained language models (e.g., BERT) are a popular approach for various NLP tasks, there now variety benchmarks, such as GLUE, to help improve the development natural understanding. However, little known how well work o...

In this study, a market trading rulebase is optimised using genetic programming (GP). The rulebase is comprised of simple relationships between technical indicators, and generates signals to buy, sell short, and remain inactive. The methodology is applied to prediction of the Standard & Poor’s composite index (02-Jan-1990 to 18-Oct-2001). Two potential market systems are inferred: a simple syst...

Benchmark open-source Wi-Fi fingerprinting datasets for indoor positioning studies are still hard to find in the current literature and existing public repositories. This is unlike other research fields, such as the image processing field, where benchmark test images such as the Lenna image or Face Recognition Technology (FERET) databases exist, or the machine learning field, where huge dataset...

This paper addresses the issue of Quality of Service (QoS) Routing to improve energy consumption in wireless sensor networks (WSNs). Building upon a previously proposed QoS provisioning benchmark model, we formulate the problem of routing sensed information in a WSN network as a path-based energy minimization problem subject to QoS routing constraints expressed in terms of reliability, delay an...