Transformation of the systolic arrays from two-dimensional to linear form. - Gregor Papa; Jurij Silc; Roman Wyrzykowski (ICECS, 1999)

Multi-Objective Genetic Scheduling Algorithm with Respect to Allocation in High-Level Synthesis. - Gregor Papa; Jurij Silc (EUROMICRO, 2000)

Linear Algebra in One-Dimensional Systolic Arrays. - Gregor Papa; Jurij Silc (Informatica (Slovenia), 2000)

Improving the Technical Quality of a Universal Motor Using an Evolutionary Approach. - Barbara Korousic-Seljak; Gregor Papa; Boris Benedicic; Tomaz Kmecl (EUROMICRO, 2001)

Automatic large-scale integrated circuit synthesis using allocation-based scheduling algorithm. - Gregor Papa; Jurij Silc (Microprocess. Microsystems, 2002)

Concurrent Operation Scheduling and Unit Allocation with an Evolutionary Technique. - Gregor Papa; Jurij Silc (DSD, 2003)

Universal motor efficiency improvement using evolutionary optimization. - Gregor Papa; Barbara Korousic-Seljak; Boris Benedicic; Tomaz Kmecl (IEEE Trans. Ind. Electron., 2003)

The parameters tuning for evolutionary synthesis algorithm. - Gregor Papa; Jurij Silc (Informatica (Slovenia), 2004)

A Decision Support Approach to Modeling Trust in Networked Organizations. - Nada Lavrac; Peter Ljubic; Mitja Jermol; Gregor Papa (IEA/AIE, 2005)

An artificial intelligence approach to the efficiency improvement of a universal motor. - Gregor Papa; Barbara Korousic-Seljak (Eng. Appl. Artif. Intell., 2005)

An Evolutionary Approach to Problems in Electrical Engineering Design. - Barbara Korousic-Seljak; Jurij Silc; Gregor Papa (Handbook of Bioinspired Algorithms and Applications, 2005)

Robot tcp positioning with vision - accuracy estimation of a robot visual control system. - Drago Torkar; Gregor Papa (ICINCO-RA (1), 2007)

A comparative study of stochastic optimization methods in electric motor design. - Tea Tusar; Peter Korosec; Gregor Papa; Bogdan Filipic; Jurij Silc (Appl. Intell., 2007)

Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates. - Nada Lavrac; Peter Ljubic; Tanja Urbani; Gregor Papa; Mitja Jermol; Stefan Bollhalter (IEEE Trans. Syst. Man Cybern. Part C, 2007)

Deterministic Test Pattern Generator Design. - Gregor Papa; Tomasz Garbolino; Franc Novak (EvoWorkshops, 2008)

Parameter-less evolutionary search. - Gregor Papa (GECCO, 2008)

Test Pattern Generator Design Optimization Based on Genetic Algorithm. - Tomasz Garbolino; Gregor Papa (IEA/AIE, 2008)

A Quadtree-based Progressive Lossless Compression Technique for Volumetric Data Sets. - Gregor Klajnsek; Borut Zalik; Franc Novak; Gregor Papa (J. Inf. Sci. Eng., 2008)

Mathport - Web Application to Support Enhancement in Elementary Mathematics Pedagogy. - Barbara Korousic-Seljak; Gregor Papa; Barbara Japelj Pavesic (CSEDU (1), 2009)

Hybrid Parameter-less Evolutionary Algorithm in Production Planning. - Vida Vukasinovic; Peter Korosec; Gregor Papa (IJCCI (ICEC), 2010)

Genetic algorithm for test pattern generator design - Automatic evolution of circuits. - Tomasz Garbolino; Gregor Papa (Appl. Intell., 2010)

Optimal on-line built-in self-test structure for system-reliability improvement. - Gregor Papa; Tomasz Garbolino (IEEE Congress on Evolutionary Computation, 2011)

Combinatorial Implementation of a Parameter-less Evolutionary Algorithm. - Gregor Papa (IJCCI (ECTA-FCTA), 2011)

Guided restarting local search for production planning. - Gregor Papa; Vida Vukasinovic; Peter Korosec (Eng. Appl. Artif. Intell., 2012)

The Parameter-less Evolutionary Search for real-parameter single objective optimization. - Gregor Papa; Jurij Silc (IEEE Congress on Evolutionary Computation, 2013)

Parameter-less algorithm for evolutionary-based optimization. - Gregor Papa (Comput. Optim. Appl., 2013)

A multi-objective approach to the application of real-world production scheduling. - Peter Korosec; Uros Bole; Gregor Papa (Expert Syst. Appl., 2013)

Implementation of a Slogan Generator. - Polona Tomasic; Martin Znidarsic; Gregor Papa (ICCC, 2014)

Case-Based Slogan Production. - Martin Znidarsic; Polona Tomasic; Gregor Papa (ICCBR (Workshops), 2015)

Big-data analytics: a critical review and some future directions. - Uros Jovanovic; Ales Stimec; Daniel Vladusic; Gregor Papa; Jurij Silc (Int. J. Bus. Intell. Data Min., 2015)

A case analysis of embryonic data mining success. - Uros Bole; Ales Popovic; Jure Zabkar; Gregor Papa; Jurij Jaklic (Int. J. Inf. Manag., 2015)

Using a Genetic Algorithm to Produce Slogans. - Polona Tomasic; Gregor Papa; Martin Znidarsic (Informatica (Slovenia), 2015)

Construction of Heuristic for Protein Structure Optimization Using Deep Reinforcement Learning. - Rok Hribar; Jurij Silc; Gregor Papa (BIOMA, 2018)

Sensors: The Enablers for Proactive Maintenance in the Real World. - Michele Albano; Luis Lino Ferreira; Giovanni Di Orio; Pedro Maló; Godfried Webers; Erkki Jantunen; Iosu Gabilondo; Mikel Viguera; Gregor Papa; Franc Novak (CoDIT, 2018)

Proactive Maintenance of Railway Switches. - Csaba Hegedüs; Paolo Ciancarini; Attila Franko; Ales Kancilija; István Moldován; Gregor Papa; Spela Poklukar; Mario Riccardi; Alberto Sillitti; Pál Varga (CoDIT, 2018)

Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification. - Monika Simjanoska; Gregor Papa; Barbara Korousic-Seljak; Tome Eftimov (BIOSIGNALS, 2019)

ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification. - Monika Simjanoska; Gregor Papa; Barbara Korousic-Seljak; Tome Eftimov (BIOSTEC (Selected Papers), 2019)

On Formulating the Ground Scheduling Problem as a Multi-objective Bilevel Problem. - Margarita Antoniou; Gasper Petelin; Gregor Papa (BIOMA, 2020)

Refining the CC-RDG3 Algorithm with Increasing Population Scheme and Persistent Covariance Matrix. - Dani Irawan; Margarita Antoniou; Boris Naujoks; Gregor Papa (BIOMA, 2020)

Solving min-max optimisation problems by means of bilevel evolutionary algorithms: a preliminary study. - Margarita Antoniou; Gregor Papa (GECCO Companion, 2020)

Dynamic control parameter choices in evolutionary computation: GECCO 2020 tutorial. - Gregor Papa; Carola Doerr (GECCO Companion, 2020)

Multi-level information fusion for learning a blood pressure predictive model using sensor data. - Monika Simjanoska; Stefan Kochev; Jovan Tanevski; Ana Madevska Bogdanova; Gregor Papa; Tome Eftimov (Inf. Fusion, 2020)

Preferred Solutions of the Ground Station Scheduling Problem using NSGA-III with Weighted Reference Points Selection. - Margarita Antoniou; Gasper Petelin; Gregor Papa (CEC, 2021)

Applications of dynamic parameter control in evolutionary computation. - Gregor Papa (GECCO Companion, 2021)

Detecting Network Intrusion Using Binarized Neural Networks. - Jure Vreca; Iva Ivanov; Gregor Papa; Anton Biasizzo (WF-IoT, 2021)

An Open-Source Approach to Solving the Problem of Accurate Food-Intake Monitoring. - Anton Biasizzo; Barbara Korousic-Seljak; Eva Valencic; Marko Pavlin; Marina Santo Zarnik; Bojan Blazica; Damian O'Kelly; Gregor Papa (IEEE Access, 2021)

The Sensor Hub for Detecting the Developmental Characteristics in Reading in Children on a White vs. Colored Background/Colored Overlays. - Tamara Jakovljevic; Milica M. Jankovic; Andrej M. Savic; Ivan Soldatovic; Petar Todorovic; Tadeja Jere Jakulin; Gregor Papa; Vanja Kovic (Sensors, 2021)

Low Power Contactless Bioimpedance Sensor for Monitoring Breathing Activity. - Marko Pavlin; Franc Novak; Gregor Papa (Sensors, 2021)

Evaluation of Parallel Hierarchical Differential Evolution for Min-Max Optimization Problems Using SciPy. - Margarita Antoniou; Gregor Papa (BIOMA, 2022)

Dynamic computational resource allocation for CFD simulations based on pareto front optimization. - Gasper Petelin; Margarita Antoniou; Gregor Papa (GECCO Companion, 2022)

On Suitability of the Customized Measuring Device for Electric Motor. - Rok Hribar; Gasper Petelin; Margarita Antoniou; Anton Biasizzo; Stanko Ciglaric; Gregor Papa (IECON, 2022)

Data multiplexed and hardware reused architecture for deep neural network accelerator. - Gopal Raut; Anton Biasizzo; Narendra Singh Dhakad; Neha Gupta; Gregor Papa; Santosh Kumar Vishvakarma (Neurocomputing, 2022)

Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. - Rok Hribar; Timotej Hrga; Gregor Papa; Gasper Petelin; Janez Povh; Natasa Przulj; Vida Vukasinovic (J. Glob. Optim., 2022)

Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach. - Joze M. Rozanec; Gasper Petelin; João Pita Costa; Blaz Bertalanic; Gregor Cerar; Marko Gucek; Gregor Papa; Dunja Mladenic (CoRR, 2023)

A Study on Optimistic and Pessimistic Pareto-Fronts in Multiobjective Bilevel Optimization via δ-Perturbation. - Margarita Antoniou; Ankur Sinha 001; Gregor Papa (EMO (1), 2025)

Dealing with zero-inflated data: Achieving state-of-the-art with a two-fold machine learning approach. - Joze M. Rozanec; Gasper Petelin; João Pita Costa; Gregor Cerar; Blaz Bertalanic; Marko Gucek; Gregor Papa; Dunja Mladenic (Eng. Appl. Artif. Intell., 2025)