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Milan Vukicevic
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2020 – today
- 2020
- [c11]Ana Kovacevic, Milan Vukicevic, Sandro Radovanovic, Boris Delibasic:
CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment - Machine Learning Approach. ADBIS/TPDL/EDA Workshops 2020: 131-144 - [c10]Zorica A. Dodevska, Ana Kovacevic, Milan Vukicevic, Boris Delibasic:
Two Sides of Collective Decision Making - Votes from Crowd and Knowledge from Experts. ICDSST 2020: 3-14
2010 – 2019
- 2019
- [j12]Sandro Radovanovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic:
A Framework for Integrating Domain Knowledge in Logistic Regression with Application to Hospital Readmission Prediction. Int. J. Artif. Intell. Tools 28(6): 1960006:1-1960006:19 (2019) - 2018
- [c9]Vladimir Urosevic, Marina Andric, Milan Vukicevic, Christos Tatsiopoulos:
A Highly Configurable Flexible Analytic Model for MCI/Frailty Risk Detection in Age-friendly Cities. SoftCOM 2018: 1-6 - [c8]Sandro Radovanovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic:
Framework for integration of domain knowledge into logistic regression. WIMS 2018: 24:1-24:8 - 2017
- [c7]Boris Delibasic, Sandro Radovanovic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic:
An Investigation of Human Trajectories in Ski Resorts. ICT Innovations 2017: 130-139 - 2016
- [j11]Milos Jovanovic, Sandro Radovanovic, Milan Vukicevic, Sven Van Poucke, Boris Delibasic:
Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression. Artif. Intell. Medicine 72: 12-21 (2016) - [j10]Milan Vukicevic, Sandro Radovanovic, Boris Delibasic, Milija Suknovic:
Extending meta-learning framework for clustering gene expression data with component-based algorithm design and internal evaluation measures. Int. J. Data Min. Bioinform. 14(2): 101-119 (2016) - [c6]Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic:
Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. AAAI 2016: 1596-1602 - 2015
- [c5]Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic:
Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. AIME 2015: 96-100 - [c4]Milan Vukicevic, Sandro Radovanovic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic:
Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. KMO 2015: 695-706 - [c3]Milan Vukicevic, Sandro Radovanovic, Joaquin Vanschoren, Giulio Napolitano, Boris Delibasic:
Towards a Collaborative Platform for Advanced Meta-Learning in Healthcare Predictive Analytics. MetaSel@PKDD/ECML 2015: 112-114 - 2014
- [j9]Milos Jovanovic, Boris Delibasic, Milan Vukicevic, Milija Suknovic, Milan Martic:
Evolutionary approach for automated component-based decision tree algorithm design. Intell. Data Anal. 18(1): 63-77 (2014) - 2013
- [j8]Milan Vukicevic, Kathrin Kirchner, Boris Delibasic, Milos Jovanovic, Johannes Ruhland, Milija Suknovic:
Finding best algorithmic components for clustering microarray data. Knowl. Inf. Syst. 35(1): 111-130 (2013) - [j7]Boris Delibasic, Milan Vukicevic, Milos Jovanovic, Milija Suknovic:
White-Box or Black-Box Decision Tree Algorithms: Which to Use in Education? IEEE Trans. Educ. 56(3): 287-291 (2013) - 2012
- [j6]Milija Suknovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Dragana Becejski-Vujaklija, Zoran Obradovic:
Reusable components in decision tree induction algorithms. Comput. Stat. 27(1): 127-148 (2012) - [j5]Boris Delibasic, Milan Vukicevic, Milos Jovanovic, Kathrin Kirchner, Johannes Ruhland, Milija Suknovic:
An architecture for component-based design of representative-based clustering algorithms. Data Knowl. Eng. 75: 78-98 (2012) - [j4]Milan Vukicevic, Milos Jovanovic, Boris Delibasic, Sonja Isljamovic, Milija Suknovic:
Reusable Component-Based Architecture for Decision Tree Algorithm Design. Int. J. Artif. Intell. Tools 21(5) (2012) - [j3]Milos Jovanovic, Milan Vukicevic, Milos Milovanovic, Miroslav Minovic:
Using data mining on student behavior and cognitive style data for improving e-learning systems: a case study. Int. J. Comput. Intell. Syst. 5(3): 597-610 (2012) - [c2]Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic:
A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis. CIBCB 2012: 252-259 - 2011
- [j2]Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic, Zoran Obradovic:
Component-based decision trees for classification. Intell. Data Anal. 15(5): 671-693 (2011) - [c1]Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic:
Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data. BIBM 2011: 574-577
2000 – 2009
- 2009
- [j1]Boris Delibasic, Kathrin Kirchner, Johannes Ruhland, Milos Jovanovic, Milan Vukicevic:
Reusable components for partitioning clustering algorithms. Artif. Intell. Rev. 32(1-4): 59-75 (2009)
Coauthor Index
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