Results 41 to 50 of about 16,607,891 (208)

Naive Bayesian classifiers with extreme probability features [PDF]

, 2018
Despite their popularity, naive Bayesian classifiers are not well suited for real-world applications involving extreme probability features. As will be demonstrated in this paper, methods used to forestall the inclusion of zero probability parameters in ...
Decision Support Systems, Sub Decision Support Systems, van der Gaag, L.C., Capotorti, A.   +3 more
core  

From arguments to constraints on a Bayesian network [PDF]

, 2016
In this paper, we propose a way to derive constraints for a Bayesian Network from structured arguments. Argumentation and Bayesian networks can both be considered decision support techniques, but are typically used by experts with different backgrounds ...
Scheffler, Tatjana, Software Production, Renooij, S., Gordon, Thomas F., Stede, Manfred, Decision Support Systems, Sub Decision Support Systems, Bex, F.J., Baroni, Pietro, Sub Software Production   +9 more
core   +1 more source

Reshaping the energy landscape of Crete through renewable energy valleys

Scientific Reports
Renewable energy valleys (REVs) represent a transformative concept poised to reshape global energy landscapes. These comprehensive ecosystems transition regions from conventional energy sources to sustainable, self-reliant hubs for renewable energy ...
Panagiotis Skaloumpakas, Elissaios Sarmas, Michalis Rachmanidis, Vangelis Marinakis   +3 more
doaj   +1 more source

Predicting Ship Main Engine Fuel Oil Consumption Using a Mixture of Experts Approach

IEEE Access
Predicting ship fuel oil consumption is crucial for optimizing fuel efficiency, reducing operational costs, and minimizing environmental impact. Prior work uses either shallow machine learning (ML) algorithms (e.g., AdaBoost, Bagging, ExtraTrees, Random ...
Loukas Ilias, Afroditi Blika, Ariadni Michalitsi-Psarrou, Spiros Mouzakitis, Dimitris Askounis   +4 more
doaj   +1 more source

Evidence‐Informed Multidisciplinary Consensus Guidance for the Psychosocial Care of Adolescents With High‐Risk Cancer: Recommendations From the Italian Association of Pediatric Hematology and Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom, Dorella Scarponi, Giulia Zucchetti, Teresa Perillo, Maria Montanaro, Elisa Marconi, Chiara Rutigliano, Paolo Colavero, Paola Quarello, Marina Bertolotti, Monica Cellini, Carlo Clerici, Maurizio Mascarin, Francesca Bomben, Andrea Ferrari, the expert workgroup   +15 more
wiley   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source

Decision Support Systems [PDF]

, 2018
The current decision-making problems is more complex than it was in the past, prompting the need for decision support. Most real-world decision-making situations are subject to bounded rationality; whereby the technical and economic evaluation of all ...
Samali, Bijan, Rashidi, Maria (R18339), Mohammadi, Masoud (R19518), Ghodrat, Maryam, Mohammadi, Masoud, Rashidi, Maria, Samali, Bijan (R17646), Ghodrat, Maryam (R18544)   +7 more
core   +1 more source

An integrated decision support environment for organisational decision making [PDF]

, 2008
Traditional decision support systems are based on the paradigm of a single decision maker working at a stand-alone computer or terminal who has a specific decision to make with a specific goal in mind.
Whitfield, R.I., Boyle, Iain M., Duffy, Alex H.B., Duffy, A.H.B., Whitfield, Robert Ian, Liu, Shaofeng, Boyle, I.M.   +6 more
core   +3 more sources

Leveraging Graph Analytics for Energy Efficiency Certificates

Energies, 2022
As energy efficiency is becoming a subject of utter importance in today’s societies, the European Union and a vast number of organizations have put a lot of focus on it. As a result, huge amounts of data are generated at an unprecedented rate.
Panagiotis Kapsalis, Giorgos Kormpakis, Konstantinos Alexakis, Dimitrios Askounis   +3 more
doaj   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source