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2020 – today
- 2023
[i2]Joze M. Rozanec, Gasper Petelin, João Pita Costa, Blaz Bertalanic, Gregor Cerar, Marko Gucek, Gregor Papa, Dunja Mladenic:
Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach. CoRR abs/2310.08088 (2023)- 2022
- [j21]Gopal Raut
, Anton Biasizzo, Narendra Singh Dhakad, Neha Gupta, Gregor Papa, Santosh Kumar Vishvakarma:
Data multiplexed and hardware reused architecture for deep neural network accelerator. Neurocomputing 486: 147-159 (2022) - [j20]Rok Hribar, Timotej Hrga, Gregor Papa, Gasper Petelin, Janez Povh, Natasa Przulj, Vida Vukasinovic:
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. J. Glob. Optim. 82(2): 283-312 (2022) - [c31]Margarita Antoniou, Gregor Papa:
Evaluation of Parallel Hierarchical Differential Evolution for Min-Max Optimization Problems Using SciPy. BIOMA 2022: 84-98 - [c30]Gasper Petelin, Margarita Antoniou, Gregor Papa:
Dynamic computational resource allocation for CFD simulations based on pareto front optimization. GECCO Companion 2022: 1666-1673 - [c29]Rok Hribar, Gasper Petelin, Margarita Antoniou, Anton Biasizzo, Stanko Ciglaric, Gregor Papa:
On Suitability of the Customized Measuring Device for Electric Motor. IECON 2022: 1-6 - 2021
- [j19]Anton Biasizzo, Barbara Korousic-Seljak, Eva Valencic, Marko Pavlin, Marina Santo Zarnik, Bojan Blazica, Damian O'Kelly, Gregor Papa:
An Open-Source Approach to Solving the Problem of Accurate Food-Intake Monitoring. IEEE Access 9: 162835-162846 (2021) - [j18]Tamara Jakovljevic, Milica M. Jankovic, Andrej M. Savic, Ivan Soldatovic, Petar Todorovic, Tadeja Jere Jakulin, Gregor Papa, Vanja Kovic:
The Sensor Hub for Detecting the Developmental Characteristics in Reading in Children on a White vs. Colored Background/Colored Overlays. Sensors 21(2): 406 (2021) - [j17]Marko Pavlin, Franc Novak, Gregor Papa:
Low Power Contactless Bioimpedance Sensor for Monitoring Breathing Activity. Sensors 21(6): 2081 (2021) - [c28]Margarita Antoniou, Gasper Petelin, Gregor Papa:
Preferred Solutions of the Ground Station Scheduling Problem using NSGA-III with Weighted Reference Points Selection. CEC 2021: 1840-1847 - [c27]Gregor Papa:
Applications of dynamic parameter control in evolutionary computation. GECCO Companion 2021: 1064-1088 - [c26]Jure Vreca, Iva Ivanov, Gregor Papa, Anton Biasizzo:
Detecting Network Intrusion Using Binarized Neural Networks. WF-IoT 2021: 622-627 - 2020
- [j16]Monika Simjanoska, Stefan Kochev, Jovan Tanevski, Ana Madevska Bogdanova, Gregor Papa, Tome Eftimov:
Multi-level information fusion for learning a blood pressure predictive model using sensor data. Inf. Fusion 58: 24-39 (2020) - [c25]Dani Irawan, Margarita Antoniou, Boris Naujoks, Gregor Papa:
Refining the CC-RDG3 Algorithm with Increasing Population Scheme and Persistent Covariance Matrix. BIOMA 2020: 69-83 - [c24]Margarita Antoniou, Gasper Petelin, Gregor Papa:
On Formulating the Ground Scheduling Problem as a Multi-objective Bilevel Problem. BIOMA 2020: 177-188 - [c23]Margarita Antoniou, Gregor Papa:
Solving min-max optimisation problems by means of bilevel evolutionary algorithms: a preliminary study. GECCO Companion 2020: 187-188 - [c22]Gregor Papa, Carola Doerr:
Dynamic control parameter choices in evolutionary computation: GECCO 2020 tutorial. GECCO Companion 2020: 927-956 - [i1]Rok Hribar, Timotej Hrga, Gregor Papa, Gasper Petelin, Janez Povh, Natasa Przulj, Vida Vukasinovic:
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. CoRR abs/2012.05963 (2020)
2010 – 2019
- 2019
- [c21]Monika Simjanoska, Gregor Papa, Barbara Korousic-Seljak, Tome Eftimov:
Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification. BIOSIGNALS 2019: 62-72 - [c20]Monika Simjanoska, Gregor Papa, Barbara Korousic-Seljak, Tome Eftimov:
ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification. BIOSTEC (Selected Papers) 2019: 352-377 - 2018
- [c19]Rok Hribar, Jurij Silc, Gregor Papa:
Construction of Heuristic for Protein Structure Optimization Using Deep Reinforcement Learning. BIOMA 2018: 151-162 - [c18]Michele Albano, Luis Lino Ferreira, Giovanni Di Orio, Pedro Maló, Godfried Webers, Erkki Jantunen, Iosu Gabilondo, Mikel Viguera, Gregor Papa, Franc Novak:
Sensors: The Enablers for Proactive Maintenance in the Real World. CoDIT 2018: 569-574 - [c17]Csaba Hegedüs, Paolo Ciancarini, Attila Franko, Ales Kancilija, István Moldován, Gregor Papa, Spela Poklukar, Mario Riccardi, Alberto Sillitti, Pál Varga:
Proactive Maintenance of Railway Switches. CoDIT 2018: 725-730 - 2015
- [j15]Uros Jovanovic, Ales Stimec, Daniel Vladusic, Gregor Papa, Jurij Silc:
Big-data analytics: a critical review and some future directions. Int. J. Bus. Intell. Data Min. 10(4): 337-355 (2015) - [j14]Uros Bole, Ales Popovic, Jure Zabkar, Gregor Papa, Jurij Jaklic:
A case analysis of embryonic data mining success. Int. J. Inf. Manag. 35(2): 253-259 (2015) - [j13]Polona Tomasic, Gregor Papa, Martin Znidarsic:
Using a Genetic Algorithm to Produce Slogans. Informatica (Slovenia) 39(2) (2015) - [c16]Martin Znidarsic, Polona Tomasic, Gregor Papa:
Case-Based Slogan Production. ICCBR (Workshops) 2015: 123-130 - 2014
- [c15]Polona Tomasic, Martin Znidarsic, Gregor Papa:
Implementation of a Slogan Generator. ICCC 2014: 340-343 - 2013
- [j12]Gregor Papa:
Parameter-less algorithm for evolutionary-based optimization. Comput. Optim. Appl. 56(1): 209-229 (2013) - [j11]Peter Korosec, Uros Bole, Gregor Papa:
A multi-objective approach to the application of real-world production scheduling. Expert Syst. Appl. 40(15): 5839-5853 (2013) - [c14]Gregor Papa, Jurij Silc:
The Parameter-less Evolutionary Search for real-parameter single objective optimization. IEEE Congress on Evolutionary Computation 2013: 1131-1137 - 2012
- [j10]Gregor Papa, Vida Vukasinovic, Peter Korosec:
Guided restarting local search for production planning. Eng. Appl. Artif. Intell. 25(2): 242-253 (2012) - 2011
- [c13]Gregor Papa, Tomasz Garbolino:
Optimal on-line built-in self-test structure for system-reliability improvement. IEEE Congress on Evolutionary Computation 2011: 222-229 - [c12]Gregor Papa:
Combinatorial Implementation of a Parameter-less Evolutionary Algorithm. IJCCI (ECTA-FCTA) 2011: 307-310 - 2010
- [j9]Tomasz Garbolino, Gregor Papa:
Genetic algorithm for test pattern generator design - Automatic evolution of circuits. Appl. Intell. 32(2): 193-204 (2010) - [c11]Vida Vukasinovic, Peter Korosec, Gregor Papa:
Hybrid Parameter-less Evolutionary Algorithm in Production Planning. IJCCI (ICEC) 2010: 231-236
2000 – 2009
- 2009
- [c10]Barbara Korousic-Seljak, Gregor Papa, Barbara Japelj Pavesic:
Mathport - Web Application to Support Enhancement in Elementary Mathematics Pedagogy. CSEDU (1) 2009: 81-88 - 2008
- [j8]Gregor Klajnsek, Borut Zalik, Franc Novak, Gregor Papa:
A Quadtree-based Progressive Lossless Compression Technique for Volumetric Data Sets. J. Inf. Sci. Eng. 24(4): 1187-1195 (2008) - [c9]Gregor Papa, Tomasz Garbolino, Franc Novak:
Deterministic Test Pattern Generator Design. EvoWorkshops 2008: 204-213 - [c8]Gregor Papa:
Parameter-less evolutionary search. GECCO 2008: 1133-1134 - [c7]Tomasz Garbolino, Gregor Papa:
Test Pattern Generator Design Optimization Based on Genetic Algorithm. IEA/AIE 2008: 580-589 - 2007
- [j7]Tea Tusar, Peter Korosec, Gregor Papa, Bogdan Filipic, Jurij Silc:
A comparative study of stochastic optimization methods in electric motor design. Appl. Intell. 27(2): 101-111 (2007) - [j6]Nada Lavrac, Peter Ljubic, Tanja Urbani, Gregor Papa, Mitja Jermol, Stefan Bollhalter:
Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates. IEEE Trans. Syst. Man Cybern. Part C 37(3): 429-439 (2007) - [c6]Drago Torkar, Gregor Papa:
Robot tcp positioning with vision - accuracy estimation of a robot visual control system. ICINCO-RA (1) 2007: 212-215 - 2005
- [j5]Gregor Papa, Barbara Korousic-Seljak:
An artificial intelligence approach to the efficiency improvement of a universal motor. Eng. Appl. Artif. Intell. 18(1): 47-55 (2005) - [c5]Nada Lavrac, Peter Ljubic, Mitja Jermol, Gregor Papa:
A Decision Support Approach to Modeling Trust in Networked Organizations. IEA/AIE 2005: 746-748 - [r1]Barbara Korousic-Seljak, Jurij Silc, Gregor Papa:
An Evolutionary Approach to Problems in Electrical Engineering Design. Handbook of Bioinspired Algorithms and Applications 2005 - 2004
- [j4]Gregor Papa, Jurij Silc:
The parameters tuning for evolutionary synthesis algorithm. Informatica (Slovenia) 28(2): 167-172 (2004) - 2003
- [j3]Gregor Papa, Barbara Korousic-Seljak, Boris Benedicic, Tomaz Kmecl:
Universal motor efficiency improvement using evolutionary optimization. IEEE Trans. Ind. Electron. 50(3): 602-611 (2003) - [c4]Gregor Papa, Jurij Silc:
Concurrent Operation Scheduling and Unit Allocation with an Evolutionary Technique. DSD 2003: 430-433 - 2002
- [j2]Gregor Papa, Jurij Silc:
Automatic large-scale integrated circuit synthesis using allocation-based scheduling algorithm. Microprocess. Microsystems 26(3): 139-147 (2002) - 2001
- [c3]Barbara Korousic-Seljak, Gregor Papa, Boris Benedicic, Tomaz Kmecl:
Improving the Technical Quality of a Universal Motor Using an Evolutionary Approach. EUROMICRO 2001: 287- - 2000
- [j1]Gregor Papa, Jurij Silc:
Linear Algebra in One-Dimensional Systolic Arrays. Informatica (Slovenia) 24(2) (2000) - [c2]Gregor Papa, Jurij Silc:
Multi-Objective Genetic Scheduling Algorithm with Respect to Allocation in High-Level Synthesis. EUROMICRO 2000: 1339-
1990 – 1999
- 1999
- [c1]Gregor Papa, Jurij Silc, Roman Wyrzykowski:
Transformation of the systolic arrays from two-dimensional to linear form. ICECS 1999: 1257-1260
Coauthor Index
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