In this paper we introduce a new, high-quality, dataset of images containing fruits. We also
present the results of some numerical experiment for training a neural network to detect fruits. …

A comparison between four Genetic Programming techniques is presented in this paper.
The compared methods are Multi-Expression Programming, Gene Expression Programming, …

Mera S, Tatulescu D, Cismaru C, Bondor C, Slavcovici A, Zanc V, Carstina D, Oltean M.
Multiplex cytokine profiling in patients with sepsis. APMIS 2010; 119: 155–63. A major goal for …

… Mihai Oltean Department of Computer Science Babes-Bolyai University Kogalniceanu 1
Cluj… [27] Oltean M., Evolving reversible circuits for the even-parity problem, EvoHOT workshop, …

Finding the optimal parameter setting (ie the optimal population size, the optimal mutation
probability, the optimal evolutionary model etc) for an Evolutionary Algorithm (EA) is a difficult …

A new model for evolving Evolutionary Algorithms is proposed in this paper. The model is
based on the Linear Genetic Programming (LGP) technique. Every LGP chromosome encodes …

Background. Solid organ transplant (SOT) recipients may be more vulnerable to coronavirus
disease 2019 (COVID-19). Data on the clinical course of COVID-19 in immunosuppressed …

Full article: Esophageal barrier function and tight junction expression in healthy subjects
and patients with gastroesophageal reflux disease: functionality of esophageal mucosa …

Delayed graft function is a frequent complication following deceased donor renal transplantation,
and is closely related to ischemia–reperfusion injury. Experimental and clinical studies …

Solid organ transplant (SOT) recipients run a high risk for adverse outcomes from COVID-19,
with reported mortality around 19%. We retrospectively reviewed all known Swedish SOT …