1. HRIBAR, Rok. Razvoj modelov za toplotne izgube pri stavbah z namenom napovedovanja porabe zemeljskega plina v Ljubljani : diplomsko delo. Ljubljana: [R. Hribar], 2016. 80 str., ilustr. Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 3006820]

2. HRIBAR, Rok, PAPA, Gregor, ŠILC, Jurij. Prediction of natural gas consumption using empirical models. In: ŽAGAR, Drago (ed.). Proceedings of 2017 International Conference on Smart Systems and Technologies, (SST), Osijek, Croatia, October 18-20, 2017. Danvers: Institute of Electrical and Electronics Engineers = IEEE, 2017. Str. 31-36. ISBN 978-1-5386-3776-0. [COBISS.SI-ID 30938407]

3. HRIBAR, Rok, ŠILC, Jurij, PAPA, Gregor. Construction of Heuristic for Protein Structure Optimization using deep reinforcement learning. In: KOROŠEC, Peter (ed.), MELAB, Nouredine (ed.), TALBI, El-Ghazali (ed.). Bioinspired optimization methods and their applications : 8th International Conference, BIOMA 2018 Paris, France, May 16-18, 2018 : proceedings. Cham: Springer, 2018. Lncs 10835, str. 151-162. Lecture notes in computer science, LNCS 10835. ISBN 978-3-319-91640-8, ISBN 978-3-319-91641-5. ISSN 0302-9743. DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije. [COBISS.SI-ID 31416103]

4. HRIBAR, Rok. Evolucijski operaterji v memetskem algoritmu za problem matrične tri-faktorizacije. In: FILIPIČ, Bogdan (ed.), MERNIK, Marjan (ed.), PAPA, Gregor (ed.). Zbornik povzetkov slovenskih delavnic "Algoritmi po vzorih iz narave" v študijskem letu 2017/2018. Ljubljana: Institut "Jožef Stefan", 2018. Str. 16. [COBISS.SI-ID 31615015]

5. HRIBAR, Rok, PETELIN, Gašper, ŠILC, Jurij, PAPA, Gregor, VUKAŠINOVIĆ, Vida. Evolutionary operators in memetic algorithm for matrix tri-factorization problem. In: Proceedings of META' 2018. 7th International Conference on Metaheuristics and Nature Inspired Computing, Oct. 27th - 31, 2018, Marrakech, Morocco. Lille: Université de Lille, 2018. Str. 426-434. https://meta2018.sciencesconf.org/data/pages/book_meta2018_en.pdf. [COBISS.SI-ID 31890727]

6. HRIBAR, Rok. Protein structure prediction using deep reinforcement learning. In: FILIPIČ, Bogdan (ed.), MERNIK, Marjan (ed.), PAPA, Gregor (ed.). Zbornik povzetkov slovenskih delavnic "Algoritmi po vzorih iz narave" v študijskem letu 2017/2018. Ljubljana: Institut "Jožef Stefan", 2018. Str. 8. [COBISS.SI-ID 31614247]

7. HRIBAR, Rok, POTOČNIK, Primož, ŠILC, Jurij, PAPA, Gregor. A comparison of models for forecasting the residential natural gas demand of an urban area. Energy. Jan. 2019, vol. 167, str. 511-522, ilustr. ISSN 0360-5442. https://www.sciencedirect.com/science/article/pii/S0360544218321728?via%3Dihub, Repozitorij Univerze v Ljubljani – RUL, DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije, DOI: 10.1016/j.energy.2018.10.175. [COBISS.SI-ID 31841575]

8. EFTIMOV, Tome, HRIBAR, Rok, KOROŠEC, Peter. Deep statistics : next generation statistics for optimization algorithms. In: 2019 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2019, December 6-9, 2019, Xiamen, China. Danvers: IEEE = Institute of Electrical and Electronics Engineers, 2019. Str. 35. http://ssci2019.org/usr/uploads/2019/11/1018992627.pdf. [COBISS.SI-ID 32931367]

9. EFTIMOV, Tome, PETELIN, Gašper, HRIBAR, Rok, POPOVSKI, Gorjan, ŠKVORC, Urban, KOROŠEC, Peter. Deep statistics : more robust performance statistics for single-objective optimization benchmarking. In: GECCO '20 Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, July 2020, Cancún, Mexico. New York: ACM = Association for Computing Machinery, 2020. Str. 5-6. ISBN 978-1-4503-7127-8. https://dl.acm.org/doi/pdf/10.1145/3377929.3398183. [COBISS.SI-ID 22078211]

10. POVH, Janez, HRIBAR, Rok, PAPA, Gregor. Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. In: ČEH ČASNI, Anita (ed.), ARNERIĆ, Josip (ed.). Book of abstracts. 18th International Conference on Operational Research, KOI 2020, Šibenik, Croatia, 23-25 September, 2020. Zagreb: Croatian Operational Research Society: University, Faculty of Economics and Business, 2020. Str. 17-18. Book of abstracts (International Conference on Operational Research). ISSN 1849-5141. http://hdoi.hr/wp-content/uploads/2020/10/KOI-2020-BoA.zip. [COBISS.SI-ID 125008131]

11. EFTIMOV, Tome, HRIBAR, Rok, ŠKVORC, Urban, POPOVSKI, Gorjan, PETELIN, Gašper, KOROŠEC, Peter. PerformViz : a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. In: GECCO '20 Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, July 2020, Cancún, Mexico. New York: ACM = Association for Computing Machinery, 2020. Str. 7-8. ISBN 978-1-4503-7127-8. https://dl.acm.org/doi/pdf/10.1145/3377929.3398182. [COBISS.SI-ID 22080771]

12. KASTRIN, Andrej, HRIBAR, Rok, PAPA, Gregor, POVH, Janez. Bibliographic data clustering based on symmetric non-negative matrix tri-factorization. In: DROBNE, Samo (ed.), et al. SOR '21 proceedings : the 16th International Symposium on Operational Research in Slovenia : September 22 - 24, 2021, online. Ljubljana: Slovenian Society Informatika, Section for Operational Research, 2021. Str. 194-199, ilustr. ISBN 978-961-6165-57-0. [COBISS.SI-ID 83669763]

13. HRIBAR, Rok, KASTRIN, Andrej, PAPA, Gregor, POVH, Janez, VUKAŠINOVIĆ, Vida. Clustering scientific bibliographic data with symmetric orthogonal matrix tri-factorization. In: KREK, Janez (ed.). Austrian-Slovenian HPC Meeting 2021 - ASHPC21 : online Meeting, May 31st - June 2nd, 2021. Ljubljana: Faculty of Mechanical Engineering; Maribor: Institute of Information Science, 2021. Str. 36. ISBN 978-961-6980-77-7, ISBN 978-961-6133-48-7. https://ashpc.eu/event/17/attachments/6/40/BOOKLET_ASHPC21.pdf. [COBISS.SI-ID 95173379]

14. HRIBAR, Rok, SANTO-ZARNIK, Marina. Izvedba izobraževalne delavnice Keras in globoko učenje skozi zglede : projekt TETRAMAX, Obzorje 2020 : spletna delavnica 14. 1. 2021 : pogodba 761349,. 2021. IJS delovno poročilo, 13443. [COBISS.SI-ID 50056195]

15. HRIBAR, Rok, SANTO-ZARNIK, Marina. Izvedba izobraževalne delavnice TensorFlow: onkraj globokega učenja : spletna delavnica dne 27. 1. 2021 : projekt TETRAMAX, Obzorje 2020 : pogodba 761349. 2021. IJS delovno poročilo, 13444. [COBISS.SI-ID 50057731]

16. HRIBAR, Rok, PETELIN, Gašper, ŠILC, Jurij, PAPA, Gregor, VUKAŠINOVIĆ, Vida. Memetic algorithm and evolutionary operators for multi-objective matrix tri-factorization problem. In: YALAOUI, Farouk (ed.), AMODEO, Lionel (ed.), TALBI, El-Ghazali (ed.). Heuristics for optimization and learning. Cham: Springer, 2021. Str. 286-298. Studies in computational intelligence, volume 906. ISBN 978-3030-5-8930-1, ISBN 3030-5-8930-7. ISSN 1860-949X. DOI: 10.1007/978-3-030-58930-1_19. [COBISS.SI-ID 55493379]

17. ANTONIOU, Margarita, HRIBAR, Rok, PAPA, Gregor. Parameter control in evolutionary optimisation. In: VASILE, Massimiliano (ed.). Optimization under uncertainty with applications to aerospace engineering. 1st ed. Cham: Springer, 2021. Str. 357-385. ISBN 978-3-030-60165-2, ISBN 978-3-030-60166-9. DOI: 10.1007/978-3-030-60166-9_11. [COBISS.SI-ID 55309571]

18. HRIBAR, Rok, SANTO-ZARNIK, Marina. Umetne nevronske mreže v praksi : izvedba izobraževalne delavnice : spletna delavnica dne 3. 11. 2021 : projekt TETRAMAX, Obzorja 2020, Pogodba št. 761349. 2021. IJS delovno poročilo, 13671. [COBISS.SI-ID 89792771]

19. HRIBAR, Rok, HRGA, Timotej, PAPA, Gregor, PETELIN, Gašper, POVH, Janez, PRŽULJ, Nataša, VUKAŠINOVIĆ, Vida. Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. Journal of global optimization. 2022, vol. 82, str. 283-312, ilustr. ISSN 0925-5001. https://link.springer.com/article/10.1007%2Fs10898-021-01074-3, Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1007/s10898-021-01074-3. [COBISS.SI-ID 75116803]

20. HRIBAR, Rok, PETELIN, Gašper, ANTONIOU, Margarita, BIASIZZO, Anton, CIGLARIČ, Stane, PAPA, Gregor. On suitability of the customized measuring device for electric motor. In: Annual Conference of Industrial Electronics Society : IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society : 17-20 Oct. 2022, Brussels, Belgium. New York: 2022. 2022, 6 str., ilustr. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9968876&tag=1, DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije. [COBISS.SI-ID 133664771]

21. PETELIN, Gašper, HRIBAR, Rok, PAPA, Gregor. Models for forecasting the traffic flow within the city of Ljubljana. European transport research review. [Online ed.]. 2023, vol. 15, article no. 30, str. 1-20, ilustr. ISSN 1866-8887. https://etrr.springeropen.com/articles/10.1186/s12544-023-00600-6, DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije, DOI: 10.1186/s12544-023-00600-6. [COBISS.SI-ID 163745027]