Saki Gerassis
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View article: Introducing AutoML and the noisy-average probabilistic independence of causal influence (PICI) model for the prediction of ornamental stone quality
Introducing AutoML and the noisy-average probabilistic independence of causal influence (PICI) model for the prediction of ornamental stone quality Open
The application of machine learning techniques to analyze large datasets enables mining companies to identify risks and allocate resources effectively, maintaining their competitive advantage. Specifically, software designed to predict the…
View article: Enhancing water quality prediction for fluctuating missing data scenarios: A dynamic Bayesian network-based processing system to monitor cyanobacteria proliferation
Enhancing water quality prediction for fluctuating missing data scenarios: A dynamic Bayesian network-based processing system to monitor cyanobacteria proliferation Open
Tackling the impact of missing data in water management is crucial to ensure the reliability of scientific research that informs decision-making processes in public health. The goal of this study is to ascertain the root causes associated …
View article: Unpacking Occupational Health Data in the Service Sector: From Bayesian Networking and Spatial Clustering to Policy-Making
Unpacking Occupational Health Data in the Service Sector: From Bayesian Networking and Spatial Clustering to Policy-Making Open
View article: Bayesian Machine Learning and Functional Data Analysis as a Two-Fold Approach for the Study of Acid Mine Drainage Events
Bayesian Machine Learning and Functional Data Analysis as a Two-Fold Approach for the Study of Acid Mine Drainage Events Open
Acid mine drainage events have a negative influence on the water quality of fluvial systems affected by coal mining activities. This research focuses on the analysis of these events, revealing hidden correlations among potential factors th…
View article: Modeling Bitcoin plus Ethereum as an Open System of Systems of Public Blockchains to Improve Their Resilience against Intentional Risk
Modeling Bitcoin plus Ethereum as an Open System of Systems of Public Blockchains to Improve Their Resilience against Intentional Risk Open
In this article, we model the two most market-capitalised public, open and permissionless blockchain implementations, Bitcoin (BTC) and Ethereum (ETH), as a System of Systems (SoS) of public blockchains. We study the concepts of blockchain…
View article: Prediction scenarios of past, present, and future environmental suitability for the Mediterranean species Arbutus unedo L.
Prediction scenarios of past, present, and future environmental suitability for the Mediterranean species Arbutus unedo L. Open
Climate change is a challenge for forests in the coming decades, with a major impact on species adaptation and distribution. The Mediterranean Basin is one of the most vulnerable hotspots for biodiversity conservation under climate change …
View article: AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling
AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling Open
Mining engineers and environmental experts around the world still identify and evaluate environmental risks associated with mining activities using field-based, basic qualitative methods The main objective is to introduce an innovative AI-…
View article: Species Ecological Envelopes under Climate Change Scenarios: A Case Study for the Main Two Wood-Production Forest Species in Portugal
Species Ecological Envelopes under Climate Change Scenarios: A Case Study for the Main Two Wood-Production Forest Species in Portugal Open
Species ecological envelope maps were obtained for the two main Portuguese wood-production species (Eucalyptus globulus Labill. and Pinus pinaster Aiton) and projected future climate change scenarios. A machine learning approach was used t…
View article: Mapping occupational health risk factors in the primary sector—A novel supervised machine learning and Area-to-Point Poisson kriging approach
Mapping occupational health risk factors in the primary sector—A novel supervised machine learning and Area-to-Point Poisson kriging approach Open
View article: Differentiating between fatal and non-fatal mining accidents using artificial intelligence techniques
Differentiating between fatal and non-fatal mining accidents using artificial intelligence techniques Open
Using statistical methods for categorical data analysis, namely multiple correspondence analysis and Artificial Intelligence through Bayesian networks, we analysed a database of occupational mining accidents for Spain for the period 2004–2…
View article: A comparative analysis of health surveillance strategies for administrative video display terminal employees
A comparative analysis of health surveillance strategies for administrative video display terminal employees Open
Background The objective of this study was to develop a strategy to optimize medical health surveillance protocols for administrative employees using video display terminals (VDTs). A total of 2453 medical examinations were analysed for VD…
View article: Understanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering
Understanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering Open
View article: Local versus Regional Soil Screening Levels to Identify Potentially Polluted Areas
Local versus Regional Soil Screening Levels to Identify Potentially Polluted Areas Open
View article: Bioclimatic modeling in the Last Glacial Maximum, Mid-Holocene and facing future climatic changes in the strawberry tree (Arbutus unedo L.)
Bioclimatic modeling in the Last Glacial Maximum, Mid-Holocene and facing future climatic changes in the strawberry tree (Arbutus unedo L.) Open
Increasing forest wildfires in Portugal remain a growing concern since forests in the Mediterranean region are vulnerable to recent global warming and reduction of precipitation. Therefore, a long-term negative effect is expected on the ve…
View article: Roofing tiles or slates? A network analysis of factors influencing architect choice
Roofing tiles or slates? A network analysis of factors influencing architect choice Open
Tiles and slates are the two most commonly used roofing materials worldwide, yet many customers and construction professionals are frequently unsure about which product to choose. In this article, a network analysis based on a Bayesian mac…
View article: A coupled multivariate statistics, geostatistical and machine-learning approach to address soil pollution in a prototypical Hg-mining site in a natural reserve
A coupled multivariate statistics, geostatistical and machine-learning approach to address soil pollution in a prototypical Hg-mining site in a natural reserve Open
View article: The Impact of Renewable Energy for Occupational Health in the Smart Grid Era
The Impact of Renewable Energy for Occupational Health in the Smart Grid Era Open
View article: Combining raw and compositional data to determine the spatial patterns of Potentially Toxic Elements in soils
Combining raw and compositional data to determine the spatial patterns of Potentially Toxic Elements in soils Open
View article: Bayesian network analysis of accident risk in information-deficient scenarios
Bayesian network analysis of accident risk in information-deficient scenarios Open
"A nalysis of accidents using Bayesian networks links certain predictor factors with other target factors representing types of accidents under study . D atabases of real accident reports are typically used for both designing and training …
View article: Developing a new Bayesian Risk Index for risk evaluation of soil contamination
Developing a new Bayesian Risk Index for risk evaluation of soil contamination Open
Industrial and agricultural activities heavily constrain soil quality. Potentially Toxic Elements (PTEs) are a threat to public health and the environment alike. In this regard, the identification of areas that require remediation is cruci…
View article: Análisis bayesiano de factores de riesgo de accidente en trabajos de movimientos de tierras
Análisis bayesiano de factores de riesgo de accidente en trabajos de movimientos de tierras Open
En este trabajo se analizan características de distintas obras en las que se ejecutaban trabajos de movimiento de tierras y tuvo lugar un accidente. Aplicando redes bayesianas se identifican los factores de mayor potencial predictivo de la…