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Goran Banjac
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2020 – today
- 2024
- [j14]Goran Banjac
, Drazen Brdjanin, Danijela Banjac
Automatic conceptual database design based on heterogeneous source artifacts. Comput. Sci. Inf. Syst. 21(4): 1913-1961 (2024) - [c19]Danijela Banjac, Milica Matic, Nedeljko Cvijanovic, Drazen Brdjanin, Goran Banjac, Djordje Stojisavljevic:
Employing Multiple Online Translation Services in a Multilingual Database Design Tool. ADBIS (Short Papers) 2024: 238-249 - 2023
- [c18]Goran Banjac
Towards Automatic Conceptual Database Design Based on Heterogeneous Source Artifacts. ADBIS (Short Papers) 2023: 487-498 - 2022
- [j13]Drazen Brdjanin, Aleksandar Vukotic, Danijela Banjac
Automatic derivation of the initial conceptual database model from a set of business process models. Comput. Sci. Inf. Syst. 19(1): 455-493 (2022) - [j12]Maximilian Schaller
Embedded Code Generation With CVXPY. IEEE Control. Syst. Lett. 6: 2653-2658 (2022) - [j11]Ahmed Aboudonia
Distributed Model Predictive Control With Reconfigurable Terminal Ingredients for Reference Tracking. IEEE Trans. Autom. Control. 67(11): 6263-6270 (2022) - [c17]Ashish Cherukuri, Alireza Zolanvari
Data-driven distributionally robust optimization over a network via distributed semi-infinite programming. CDC 2022: 4771-4775 - [c16]Ahmed Aboudonia
Online Computation of Terminal Ingredients in Distributed Model Predictive Control for Reference Tracking. ECC 2022: 847-852 - [c15]Drazen Brdjanin, Mladen Grumic, Goran Banjac
Towards an Online Multilingual Tool for Automated Conceptual Database Design. IDC 2022: 144-153 - [i5]Angeliki Kamoutsi, Goran Banjac, John Lygeros:
Stochastic convex optimization for provably efficient apprenticeship learning. CoRR abs/2201.00039 (2022) - [i4]Ahmed Aboudonia, Goran Banjac, Annika Eichler, John Lygeros:
Online Computation of Terminal Ingredients in Distributed Model Predictive Control for Reference Tracking. CoRR abs/2207.09216 (2022) - [i3]Ashish Cherukuri, Alireza Zolanvari, Goran Banjac, Ashish R. Hota:
Data-driven distributionally robust optimization over a network via distributed semi-infinite programming. CoRR abs/2208.10321 (2022) - 2021
- [j10]Goran Banjac
On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimization. Optim. Lett. 15(8): 2719-2732 (2021) - [j9]Goran Banjac
On the minimal displacement vector of the Douglas-Rachford operator. Oper. Res. Lett. 49(2): 197-200 (2021) - [j8]Drazen Brdjanin
Automatic derivation of conceptual database models from differently serialized business process models. Softw. Syst. Model. 20(1): 89-115 (2021) - [c14]Angeliki Kamoutsi, Goran Banjac, John Lygeros:
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations. ICML 2021: 5257-5268 - [c13]Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. NeurIPS 2021: 21043-21055 - [i2]Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. CoRR abs/2107.10847 (2021) - [i1]Angeliki Kamoutsi, Goran Banjac, John Lygeros:
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations. CoRR abs/2112.14004 (2021) - 2020
- [j7]Michel Schubiger, Goran Banjac
GPU acceleration of ADMM for large-scale quadratic programming. J. Parallel Distributed Comput. 144: 55-67 (2020) - [j6]Bartolomeo Stellato
OSQP: an operator splitting solver for quadratic programs. Math. Program. Comput. 12(4): 637-672 (2020) - [c12]Drazen Brdjanin, Aleksandar Vukotic, Goran Banjac
Automatic Derivation of Conceptual Database Model from a Set of Business Process Models. INISTA 2020: 1-8 - [c11]Drazen Brdjanin, Dragana Vukovic, Goran Banjac
REDBUL: An Online System for Reverse Engineering of Relational Databases. INISTA 2020: 1-6
2010 – 2019
- 2019
- [j5]Drazen Brdjanin
Automated two-phase business model-driven synthesis of conceptual database models. Comput. Sci. Inf. Syst. 16(2): 657-688 (2019) - [j4]Goran Banjac
Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization. J. Optim. Theory Appl. 183(2): 490-519 (2019) - [j3]Drazen Brdjanin
An experiment in model-driven conceptual database design. Softw. Syst. Model. 18(3): 1859-1883 (2019) - [c10]Goran Banjac
Decentralized Resource Allocation via Dual Consensus ADMM. ACC 2019: 2789-2794 - [c9]Goran Banjac
A Data-Driven Policy Iteration Scheme based on Linear Programming. CDC 2019: 816-821 - [c8]Igor Dujlovic, Nikola Obradovic, Aleksandar Kelec, Drazen Brdjanin
An Approach to Web-based Visualization of Automatically Generated Data Models. EUROCON 2019: 1-6 - 2018
- [j2]Goran Banjac
On the Convergence of a Regularized Jacobi Algorithm for Convex Optimization. IEEE Trans. Autom. Control. 63(4): 1113-1119 (2018) - [j1]Goran Banjac
Tight Global Linear Convergence Rate Bounds for Operator Splitting Methods. IEEE Trans. Autom. Control. 63(12): 4126-4139 (2018) - [c7]Drazen Brdjanin
An Online Business Process Model-driven Generator of the Conceptual Database Model. WIMS 2018: 16:1-16:9 - 2017
- [c6]Drazen Brdjanin
Controlled Experiment in Business Model-Driven Conceptual Database Design. BPMDS/EMMSAD@CAiSE 2017: 289-304 - [c5]Goran Banjac
Embedded code generation using the OSQP solver. CDC 2017: 1906-1911 - [c4]Drazen Brdjanin
An Approach to Automated Two-Phase Business Model-Driven Synthesis of Data Models. MEDI 2017: 57-70 - 2016
- [c3]Goran Banjac
Global linear convergence in operator splitting methods. CDC 2016: 233-238 - [c2]Danijela Banjac
Evaluation of Automatically Generated Conceptual Database Model Based on Business Process Model: Controlled Experiment. ICT Innovations 2016: 134-145 - 2014
- [c1]Drazen Brdjanin
Automated Synthesis of Initial Conceptual Database Model Based on Collaborative Business Process Model. ICT Innovations 2014: 145-156
Coauthor Index
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last updated on 2024-12-26 00:49 CET by the dblp team
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