Search Results - "Radovanovic, Sandro"
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Distinguishing predictive profiles for patient-based risk assessment and diagnostics of plaque induced, surgically and prosthetically triggered peri-implantitis
Published in Clinical oral implants research (01-10-2016)“…Objective To investigate whether specific predictive profiles for patient‐based risk assessment/diagnostics can be applied in different subtypes of…”
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2
Team-bounded DEA efficiency scores: The case of UEFA Champions League Players
Published in Yugoslav Journal of Operations Research (01-01-2024)“…Measuring the efficiency of a football player is an interesting task. Every player invests time and energy to produce an outcome during the game that can lead…”
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3
FairDEA—Removing disparate impact from efficiency scores
Published in European journal of operational research (16-09-2022)“…•We propose fair data envelopment analysis method.•Additional constraint controls disparate impact in the data envelopment analysis.•As a result, average…”
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FAIR: Fair adversarial instance re-weighting
Published in Neurocomputing (Amsterdam) (01-03-2022)“…•We merge reweighing and adversarial approaches for mitigating bias in machine learning models, while keeping the best from both.•The proposed method can…”
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5
Changing criteria weights to achieve fair VIKOR ranking: a postprocessing reranking approach
Published in Autonomous agents and multi-agent systems (01-06-2023)“…Ranking is a prerequisite for making decisions, and therefore it is a very responsible and frequently applied activity. This study considers fairness issues in…”
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Building interpretable predictive models for pediatric hospital readmission using tree-lasso logistic regression
Published in Artificial intelligence in medicine (01-09-2016)“…Highlights • Integration of domain knowledge (in the form of ICD-9-CM hierarchical nomenclature of diseases) and learning algorithm (Tree-Lasso logistic…”
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7
Machine learning in scientific grant review: algorithmically predicting project efficiency in high energy physics
Published in European journal for philosophy of science (2022)“…As more objections have been raised against grant peer-review for being costly and time-consuming, the legitimate question arises whether machine learning…”
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What drives the performance of tax administrations? Evidence from selected european countries
Published in Economic modelling (01-04-2023)“…An effective, efficient, fair, and trusted tax administration is a top priority for every country in the world; however, tax administration faces many issues,…”
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9
The predictive value of microbiological findings on teeth, internal and external implant portions in clinical decision making
Published in Clinical oral implants research (01-05-2017)“…Aim The primary aim of this study was to evaluate 23 pathogens associated with peri‐implantitis at inner part of implant connections, in peri‐implant and…”
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10
Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks
Published in Applied soft computing (01-01-2023)“…Currently, one of the biggest challenges in modern traffic engineering is related to traffic state estimation (TSE). Although many machine learning and domain…”
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Extracting decision models for ski injury prediction from data
Published in International transactions in operational research (01-11-2023)“…Creating decision models for risk assessment of ski injuries is a challenging task. Ski injuries are rare events, but they carry a high cost, that is, can…”
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12
Enabling Equal Opportunity in Logistic Regression Algorithm
Published in Management (Belgrade University, Faculty of Organizational Sciences) (01-01-2023)“…Research Question: This paper aims at adjusting the logistic regression algorithm to mitigate unwanted discrimination shown towards race, gender, etc…”
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13
When Fairness Meets Consistency in AHP Pairwise Comparisons
Published in Mathematics (Basel) (01-01-2023)“…We propose introducing fairness constraints to one of the most famous multi-criteria decision-making methods, the analytic hierarchy process (AHP). We offer a…”
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14
Optimal research team composition: data envelopment analysis of Fermilab experiments
Published in Scientometrics (01-07-2016)“…We employ data envelopment analysis on a series of experiments performed in Fermilab, one of the major high-energy physics laboratories in the world, in order…”
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15
A fair classifier chain for multi‐label bank marketing strategy classification
Published in International transactions in operational research (01-05-2023)“…Recently, the usage of machine learning algorithms is subject to discussion from a legal and ethical point of view. Unwanted discrimination regarding gender or…”
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16
Resolution of peri‐implant mucositis following standard treatment: A prospective split‐mouth study
Published in Journal of periodontology (1970) (01-09-2024)“…Background Peri‐implant mucositis (PIM) is a pathological precursor of peri‐implantitis, but its pattern of conversion to peri‐implantitis is unclear and…”
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How frequent does peri-implantitis occur? A systematic review and meta-analysis
Published in Clinical oral investigations (01-05-2018)“…Objectives The objective of this study is to estimate the overall prevalence of peri-implantitis (PI) and the effect of different study designs, function…”
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Is the personalized approach the key to improve clinical diagnosis of peri‐implant conditions? The role of bone markers
Published in Journal of periodontology (1970) (01-07-2020)“…Background Study objectives were 1) to estimate diagnostic capacity of clinical parameters, receptor activator of nuclear factor kappa‐B (RANKL) and…”
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Effect of argon plasma abutment activation on soft tissue healing: RCT with histological assessment
Published in Clinical implant dentistry and related research (01-02-2024)“…Objective To assess the peri‐implant soft tissue profiles between argon plasma treatment (PT) and non‐treated (NPT) healing abutments by comparing clinical and…”
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Cloud Based Metalearning System for Predictive Modeling of Biomedical Data
Published in TheScientificWorld (01-01-2014)“…Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. On the other side…”
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