Results 51 to 60 of about 16,607,891 (208)

Entropy-based Pruning for Learning Bayesian Networks using BIC [PDF]

, 2018
For decomposable score-based structure learning of Bayesian networks, existing approaches first compute a collection of candidate parent sets for each variable and then optimize over this collection by choosing one parent set for each variable without ...
Scanagatta, Mauro, Cassio P. de Campos, Giorgio Corani, Decision Support Systems, de Campos, Cassio, Zaffalon, Marco, Sub Decision Support Systems, Marco Zaffalon, Corani, Giorgio, Mauro Scanagatta   +9 more
core   +2 more sources

AI4EF: Artificial Intelligence for Energy Efficiency in the building sector

SoftwareX
AI4EF (Artificial Intelligence for Energy Efficiency) is an advanced, user-centric tool designed to support decision-making in building energy retrofitting and efficiency optimization.
Alexandros Menelaos Tzortzis, Georgios Kormpakis, Sotiris Pelekis, Ariadni Michalitsi-Psarrou, Evangelos Karakolis, Christos Ntanos, Dimitris Askounis   +6 more
doaj   +1 more source

Development of a stress-free algorithm for controlling active running platforms [PDF]

ITM Web of Conferences
The problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies,
Obukhov Artem, Karpushkin Sergey, Siukhin Aleksandr, Patutin Kirill, Averin Yaroslav   +4 more
doaj   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

Evidence evaluation: a study of likelihoods and independence [PDF]

, 2016
In the context of evidence evaluation, where the probability of evidence given a certain hypothesis is considered, different pieces of evidence are often combined in a naive way by assuming conditional independence.
Antonucci, Alessandro, Renooij, S., Decision Support Systems, Campos, Cassio Polpo, Sub Decision Support Systems, Corani, Giorgio   +5 more
core  

Neural sentence embedding models for semantic similarity estimation in the biomedical domain

BMC Bioinformatics, 2019
Background Neural network based embedding models are receiving significant attention in the field of natural language processing due to their capability to effectively capture semantic information representing words, sentences or even larger text ...
Kathrin Blagec, Hong Xu, Asan Agibetov, Matthias Samwald   +3 more
doaj   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

Residential Energy Dataset with Electric Vehicles, Photovoltaic Generation and Tariff Variability in Ireland

Scientific Data
Household energy demand data are essential for designing load-shifting strategies, storage solutions and demand response programs. This is the first publicly available dataset that integrates multiple household-level energy and mobility metrics.
Dimitris Avgoloupis, Vasilis Michalakopoulos, Elissaios Sarmas, Vangelis Marinakis, Mario Couto, Alessio Coccia, Mariana Jimenez   +6 more
doaj   +1 more source

Brainstorming Will Never Be the Same Again—A Human Group Supported by Artificial Intelligence

Machine Learning and Knowledge Extraction, 2023
A modification of the brainstorming process by the application of artificial intelligence (AI) was proposed. Here, we describe the design of the software system “kresilnik”, which enables hybrid work between a human group and AI.
Franc Lavrič, Andrej Škraba
doaj   +1 more source