dr. Domen Mongus [29243]

1. MONGUS, Domen, ŽALIK, Borut. Computationally efficient method for the generation of a digital terrain model from airborne LiDAR data using connected operators. IEEE journal of selected topics in applied earth observations and remote sensing. Jan. 2014, vol. 7, no. 1, str. 340-351. ISSN 1939-1404. DOI: 10.1109/JSTARS.2013.2262996. [COBISS.SI-ID 16937494]

2. MONGUS, Domen, TRIGLAV ČEKADA, Mihaela, ŽALIK, Borut. Analiza samodejne metode za generiranje digitalnih modelov reliefa iz podatkov lidar na območju Slovenije = The analysis of an automatic method for digital terrain model generation from lidar data on Slovenian test cases. Geodetski vestnik : glasilo Zveze geodetov Slovenije. [Tiskana izd.]. 2013, letn. 57, št. 2, str. 245-258. ISSN 0351-0271. https://dk.um.si/IzpisGradiva.php?id=56246, http://www.dlib.si/details/URN:NBN:SI:DOC-WTQZTPKL. [COBISS.SI-ID 16961046]

3. PEČNIK, Sašo, MONGUS, Domen, ŽALIK, Borut. Evaluation of optimized visualization of LiDAR point clouds, based on visual perception. V: HOLZINGER, Andreas (ur.), PASI, Gabriella (ur.). Human-computer interaction and knowledge discovery in complex, unstructured, big data : proceedings. Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Maribor, Slovenia, July 1-3, 2013. Berlin; Heidelberg: Springer, 2013. Str. 366-385. Lecture notes in computer science, Lecture notes in artificial intelligence, vol. 7947. ISBN 978-3-642-39145-3. ISSN 0302-9743. [COBISS.SI-ID 16991510]

4. HORVAT, Denis, ŽALIK, Borut, RUPNIK, Marjan, MONGUS, Domen. Visualising the attributes of biological cells, based on human perception. V: HOLZINGER, Andreas (ur.), PASI, Gabriella (ur.). Human-computer interaction and knowledge discovery in complex, unstructured, big data : proceedings. Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Maribor, Slovenia, July 1-3, 2013. Berlin; Heidelberg: Springer, 2013. Str. 386-399. Lecture notes in computer science, Lecture notes in artificial intelligence, vol. 7947. ISBN 978-3-642-39145-3. ISSN 0302-9743. [COBISS.SI-ID 16992022]

5. ŠKRABAN, Jure, DŽEROSKI, Sašo, ŽENKO, Bernard, MONGUS, Domen, GANGL, Simon, RUPNIK, Maja. Gut microbiota patterns associated with colonization of different clostridium difficile ribotypes. PloS one. 2013, vol. 8, iss. 2, str. e58005-1-e58005-13. ISSN 1932-6203. https://dk.um.si/IzpisGradiva.php?id=66277, DOI: 10.1371/journal.pone.0058005. [COBISS.SI-ID 16731158]

6. MONGUS, Domen, REPNIK, Blaž, MERNIK, Marjan, ŽALIK, Borut. A hybrid evolutionary algorithm for tuning a cloth-simulation model. Applied soft computing. [Print ed.]. Jan. 2012, vol. 12, iss. 1, str. 266-273. ISSN 1568-4946. DOI: 10.1016/j.asoc.2011.08.047. [COBISS.SI-ID 15310102]

7. MONGUS, Domen, ŽALIK, Borut. Parameter-free ground filtering of LiDAR data for automatic DTM generation. ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing. [Print ed.]. Jan. 2012, vol. 67, str. 1-12, ilustr. ISSN 0924-2716. DOI: 10.1016/j.isprsjprs.2011.10.002. [COBISS.SI-ID 15485718]

8. MONGUS, Domen, ŽALIK, Borut. Efficient method for lossless LIDAR data compression. International journal of remote sensing. [Print ed.]. 2011, vol. 32, no. 9, str. 2507-2518. ISSN 0143-1161. DOI: 10.1080/01431161003698385. [COBISS.SI-ID 14953494]

9. MONGUS, Domen, LUKAČ, Niko, OBRUL, Denis, ŽALIK, Borut. Detection of planar points for building extraction from lidar data based on differential morphological and attribute profiles. V: SOHN, G. (ur.), ROTTENSTEINER, F. (ur.), WEGNER, J. D. (ur.). VCM 2013. ISPRS Workshop on 3D Virtual City Modeling 28 May 2013, Regina, Canada. [Göttingen: Copernicus Publications, 2013]. Str. 21-26. ISPRS Annals, Vol. II-3 (2013). ISSN 2194-9042. http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W1/21/2013/isprsannals-II-3-W1-21-2013.pdf, https://dk.um.si/IzpisGradiva.php?id=50439. [COBISS.SI-ID 17007638]

10. MONGUS, Domen, ŽALIK, Borut. A method and apparatus for LiDAR data compression and decompression : U. S. Patent and trademark office, U. S. Department of commerce, Appl. no.: 61410522, EFS ID: 8778528, confirmation number: 7349. [S. l.: s. n.], 2010. [37] f., ilustr. [COBISS.SI-ID 14709270]