Alkharabsheh, Khalid Alawadi, Sadi Crespo, Yania Taboada, José A.
Repairing code smells detected in the code or design of the system is one of the activities contributing to increasing the software quality. In this study, we investigate the impact of non-numerical information of software, such as project status information combined with machine learning techniques, on improving code smell detection. For this purp...
Murris, Juliette
En oncologie, la rechute de cancer ou encore la progression de la tumeur sont souvent utilisées pour mesurer l’effet d’un traitement ou d’une intervention. Les méthodes classiques visent à modéliser le temps d’apparition de la première rechute, ou de la première progression, comme l’estimateur de Kaplan-Meier ou le modèle de Cox. Or, un événement c...
Mansour Diene, Serigne Diack, Ibrahima Audebert, Alain Roupsard, Olivier Leroux, Louise Aziz Diouf, Abdoul Mbaye, Modou Fernandez, Romain Diallo, Moussa Sarr, Idrissa
...
Enhancing food security in the Sahel through nature-based solutions is urgent given population growth, resource scarcity and climate change. Traditional agroforestry parklands are a farmer-and naturebased widespread form of ecological intensification which randomly integrates trees into crop fields. While most studies estimating crop yields in agro...
Chuor, Porchourng Ittoo, Ashwin Heng, Samedi
peer reviewed / We address the problem of classifying Capability, Task, Hard-goal, and Soft-goal in user stories. Such a classification is essential for generating Rationale Tree. Several articles have attempted to classify different aspects of user stories in the past. However, classifying the Capability, Task, Hard-goal, and Soft-goal class has b...
Tercha, Wassila Tadjer, Sid Ahmed Chekired, Fathia Canale, Laurent
The industrial revolution has led to a rise in energy needs and the demand for better control strategies. Intelligent Energy Management Systems (IEMS) and the Internet of Energy (IoE) offer promising solutions to cut down energy usage in the construction industry. This paper looks at the first step before combining these ideas to address challenges...
beková, linda
Práce se zabývá problémem zpracování SELEX experimentů pomocí hlubokého učení. Součástí práce je užití dopředné neuronové sítě, konvoluční neuronové sítě, obousměrné dlouhé krátkodobé paměti a metody náhodného lesu pomocí programovacího jazyku Python a porovnání jejich schopnosti predikovat výsledky SELEX experimentů. Práce rozšiřuje předchozí výzk...
Murris, Juliette Bouaziz, Olivier Jakubczak, Michal Katsahian, Sandrine Lavenu, Audrey
Random survival forests (RSF) have emerged as valuable tools in medical research. They have shown their utility in modelling complex relationships between predictors and survival outcomes, overcoming linearity or low dimensionality assumptions. Nevertheless, RSF have not been adapted to right-censored data with recurrent events (RE). This work intr...
Kuo, Chao-Yang Yang, Wei-Wen Su, Emily Chia-Yu
Published in
BMC Infectious Diseases
Background Dengue fever is a well-studied vector-borne disease in tropical and subtropical areas of the world. Several methods for predicting the occurrence of dengue fever in Taiwan have been proposed. However, to the best of our knowledge, no study has investigated the relationship between air quality indices (AQIs) and dengue fever in Taiwan. Re...
Xu, Qiuhan Jiang, Sisi Kang, Ruiqing Wang, Yiling Zhang, Baorong Tian, Jun
Published in
Computers in biology and medicine
The COVID-19 pandemic caused by SARS-CoV-2 has led to significant global morbidity and mortality, with potential neurological consequences, such as Parkinson's disease (PD). However, the underlying mechanisms remain elusive. To address this critical question, we conducted an in-depth transcriptome analysis of dopaminergic (DA) neurons in both COVID...
Woods, Taylor Eng, Ken Carlisle, Daren M Cashman, Matthew J Meador, Michael R Ryberg, Karen R Maloney, Kelly O
Published in
The Science of the total environment
In stream systems, disentangling relationships between biology and flow and subsequent prediction of these relationships to unsampled streams is a common objective of large-scale ecological modeling. Often, streamflow metrics are derived from aggregating continuous streamflow records available at a subset of stream gages into long-term flow regime ...
