Contact
dr. Stevan RudinacAssociate Professor
Artificial Intelligence for Business
University of Amsterdam
Faculty of Economics and Business
Amsterdam Business School
Plantage Muidergracht 12
1018 TV Amsterdam
The Netherlands
Office: M4.01
Phone: +31 (0)20 525 5254
E-mail: s(dot)rudinac(at)uva(dot)nl
Publications (since 2010)
For a more complete list of publications see my DBLP and Google Scholar accounts.
[1]
M. Sukel, S. Rudinac, and M. Worring, “Urban Object Detection Kit: A System for Collection and Analysis of Street-Level Imagery,” in Proceedings of the 2020 International Conference on Multimedia Retrieval, New York, NY, USA, 2020, pp. 509–516, doi: 10.1145/3372278.3390708.
[2]
U. Sharma, S. Rudinac, M. Worring, J. Demmers, and W. van Dolen, Semantic Path-Based Learning for Review Volume Prediction. Cham: Springer International Publishing, 2020.
[3]
O. S. Khan, M. D. Larsen, L. A. S. Poulsen, B. Þ. Jónsson, J. Zahálka, S. Rudinac, D. Koelma, and M. Worring, “Exquisitor at the Lifelog Search Challenge 2020,” in Proceedings of the Third Annual Workshop on Lifelog Search Challenge, New York, NY, USA, 2020, pp. 19–22, doi: 10.1145/3379172.3391718.
[4]
O. S. Khan, B. Þ. Jónsson, S. Rudinac, J. Zahálka, H. Ragnarsdóttir, Þ. Þorleiksdóttir, G. Þ. Guðmundsson, L. Amsaleg, and M. Worring, Interactive Learning for Multimedia at Large. Cham: Springer International Publishing, 2020.
[5]
B. Þ. Jónsson, O. S. Khan, D. C. Koelma, S. Rudinac, M. Worring, and J. Zahálka, “Exquisitor at the Video Browser Showdown 2020,” in MultiMedia Modeling, Cham, 2020, pp. 796–802.
[6]
I. Gornishka, S. Rudinac, and M. Worring, “Interactive Search and Exploration in Discussion Forums Using Multimodal Embeddings,” in MultiMedia Modeling, Cham, 2020, pp. 388–399.
[7]
D. Arya, S. Rudinac, and M. Worring, “Predicting Behavioural Patterns in Discussion Forums using Deep Learning on Hypergraphs,” in 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Sep. 2019, pp. 1–6, doi: 10.1109/CBMI.2019.8877384.
[8]
M. Sukel, S. Rudinac, and M. Worring, “Multimodal Classification of Urban Micro-Events,” in Proceedings of the 27th ACM International Conference on Multimedia, New York, NY, USA, 2019, pp. 1455–1463, doi: 10.1145/3343031.3350967.
[9]
H. Ragnarsdóttir, Þ. Þorleiksdóttir, O. S. Khan, B. Þ. Jónsson, G. Þ. Guðmundsson, J. Zahálka, S. Rudinac, L. Amsaleg, and M. Worring, “Exquisitor: Breaking the Interaction Barrier for Exploration of 100 Million Images,” in Proceedings of the 27th ACM International Conference on Multimedia, New York, NY, USA, 2019, pp. 1029–1031, doi: 10.1145/3343031.3350580.
[10]
O. S. Khan, B. Þ. Jónsson, J. Zahálka, S. Rudinac, and M. Worring, “Exquisitor at the Lifelog Search Challenge 2019,” in Proceedings of the ACM Workshop on Lifelog Search Challenge, New York, NY, USA, 2019, pp. 7–11, doi: 10.1145/3326460.3329156.
[11]
C. Gurrin, B. Þ. Jónsson, R. Péteri, S. Rudinac, S. Marchand-Maillet, G. Quénot, K. McGuinness, G. Þ. Guðmundsson, S. Little, M. Katsurai, and G. Healy, Eds., 2019 International Conference on Content-Based Multimedia Indexing, CBMI 2019, Dublin, Ireland, September 4-6, 2019. IEEE, 2019.
[12]
D. Arya, S. Rudinac, and M. Worring, “HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities,” in Proceedings of the 27th ACM International Conference on Multimedia, New York, NY, USA, 2019, pp. 2245–2253, doi: 10.1145/3343031.3350572.
[13]
J. Zahálka, S. Rudinac, B. T. Jónsson, D. C. Koelma, and M. Worring, “Blackthorn: Large-Scale Interactive Multimodal Learning,” IEEE Transactions on Multimedia, vol. 20, no. 3, pp. 687–698, Mar. 2018, doi: 10.1109/TMM.2017.2755986.
[14]
S. Rudinac, T.-S. Chua, N. Diaz-Ferreyra, G. Friedland, T. Gornostaja, B. Huet, R. Kaptein, K. Lindén, M.-F. Moens, J. Peltonen, M. Redi, M. Schedl, D. A. Shamma, A. Smeaton, and L. Xie, “Rethinking Summarization and Storytelling for Modern Social Multimedia,” in MultiMedia Modeling, Cham, 2018, pp. 632–644.
[15]
S. Rudinac, J. Zahálka, and M. Worring, “Discovering Geographic Regions in the City Using Social Multimedia and Open Data,” in MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017., Cham, 2017, pp. 148–159, doi: 10.1007/978-3-319-51814-5_13.
[16]
S. Rudinac, I. Gornishka, and M. Worring, “Multimodal Classification of Violent Online Political Extremism Content with Graph Convolutional Networks,” Mountain View, CA USA, 2017.
[17]
J. Zahálka, S. Rudinac, B. T. Jónsson, D. C. Koelma, and M. Worring, “Interactive Multimodal Learning on 100 Million Images,” in Proceedings of the 2016 ACM International Conference on Multimedia Retrieval, New York, NY, USA, 2016, pp. 333–337, doi: 10.1145/2911996.2912062.
[18]
J. van den Berg, S. Rudinac, and M. Worring, “Scenemash: Multimodal Route Summarization for City Exploration,” in Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016., Cham, 2016, pp. 833–836, doi: 10.1007/978-3-319-30671-1_75.
[19]
M. Mazloom, R. Rietveld, S. Rudinac, M. Worring, and W. van Dolen, “Multimodal Popularity Prediction of Brand-related Social Media Posts,” in Proceedings of the 2016 ACM Conference on Multimedia, New York, NY, USA, 2016, pp. 197–201, doi: 10.1145/2964284.2967210.
[20]
B. T. Jónsson, M. Worring, J. Zahálka, S. Rudinac, and L. Amsaleg, “Ten Research Questions for Scalable Multimedia Analytics,” in MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016., Cham, 2016, pp. 290–302, doi: 10.1007/978-3-319-27674-8_26.
[21]
J. Boonzajer Flaes, S. Rudinac, and M. Worring, “What Multimedia Sentiment Analysis Says About City Liveability,” in Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016., Cham, 2016, pp. 824–829, doi: 10.1007/978-3-319-30671-1_74.
[22]
J. Zahálka, S. Rudinac, and M. Worring, “Interactive Multimodal Learning for Venue Recommendation,” IEEE Transactions on Multimedia, vol. 17, no. 12, pp. 2235–2244, Dec. 2015, doi: 10.1109/TMM.2015.2480007.
[23]
J. Zahálka, S. Rudinac, and M. Worring, “Analytic Quality: Evaluation of Performance and Insight in Multimedia Collection Analysis,” in Proceedings of the 23rd ACM International Conference on Multimedia, New York, NY, USA, 2015, pp. 231–240, doi: 10.1145/2733373.2806279.
[24]
J. Redi and S. Rudinac, “CrowdMM 2015: Fourth International ACM Workshop on Crowdsourcing for Multimedia,” in Proceedings of the 23rd ACM International Conference on Multimedia, New York, NY, USA, 2015, pp. 1341–1342, doi: 10.1145/2733373.2806411.
[25]
J. Zahálka, S. Rudinac, and M. Worring, “New Yorker Melange: Interactive Brew of Personalized Venue Recommendations,” in Proceedings of the 22nd ACM International Conference on Multimedia, New York, NY, USA, 2014, pp. 205–208, doi: 10.1145/2647868.2656403.
[26]
S. Rudinac and M. Worring, “Making Use of Semantic Concept Detection for Modelling Human Preferences in Visual Summarization,” in Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia, New York, NY, USA, 2014, pp. 41–44, doi: 10.1145/2660114.2660127.
[27]
S. Rudinac, M. Larson, and A. Hanjalic, “Learning Crowdsourced User Preferences for Visual Summarization of Image Collections,” IEEE Transactions on Multimedia, vol. 15, no. 6, pp. 1231–1243, Oct. 2013, doi: 10.1109/TMM.2013.2261481.
[28]
S. Rudinac, A. Hanjalic, and M. Larson, “Generating Visual Summaries of Geographic Areas Using Community-Contributed Images,” IEEE Transactions on Multimedia, vol. 15, no. 4, pp. 921–932, Jun. 2013, doi: 10.1109/TMM.2013.2237896.
[29]
S. Rudinac, “Advancing the Relevance Criteria for Video Search and Visual Summarization,” PhD, Delft University of Technology, Delft, 2013.
[30]
S. Rudinac, M. Larson, and A. Hanjalic, “Leveraging visual concepts and query performance prediction for semantic-theme-based video retrieval,” International Journal of Multimedia Information Retrieval, vol. 1, no. 4, pp. 263–280, 2012, doi: 10.1007/s13735-012-0018-0.
[31]
S. Rudinac, M. Larson, and A. Hanjalic, “TUD-MIR at MediaEval 2011 Genre Tagging Task: Query expansion from a limited number of labeled videos,” 2011.
[32]
S. Rudinac, A. Hanjalic, and M. Larson, “Finding Representative and Diverse Community Contributed Images to Create Visual Summaries of Geographic Areas,” in Proceedings of the 19th ACM International Conference on Multimedia, New York, NY, USA, 2011, pp. 1109–1112, doi: 10.1145/2072298.2071950.
[33]
M. Larson, M. Soleymani, P. Serdyukov, S. Rudinac, C. Wartena, V. Murdock, G. Friedland, R. Ordelman, and G. J. F. Jones, “Automatic Tagging and Geotagging in Video Collections and Communities,” in Proceedings of the 1st ACM International Conference on Multimedia Retrieval, New York, NY, USA, 2011, p. 51:1–51:8, doi: 10.1145/1991996.1992047.
[34]
S. Rudinac, M. Larson, and A. Hanjalic, “Visual Concept-based Selection of Query Expansions for Spoken Content Retrieval,” in Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, NY, USA, 2010, pp. 891–892, doi: 10.1145/1835449.1835668.
[35]
S. Rudinac, M. Larson, and A. Hanjalic, “Exploiting Result Consistency to Select Query Expansions for Spoken Content Retrieval,” in Advances in Information Retrieval, vol. 5993, Springer Berlin Heidelberg, 2010, pp. 645–648.
[36]
S. Rudinac, M. Larson, and A. Hanjalic, “Exploiting Noisy Visual Concept Detection to Improve Spoken Content Based Video Retrieval,” in Proceedings of the International Conference on Multimedia, New York, NY, USA, 2010, pp. 727–730, doi: 10.1145/1873951.1874063.
