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  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: Dr Primoz Skraba

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Alonso ÁJ, Kerber M, Skraba P ( 2024 ) . Probabilistic Analysis of Multiparameter Persistence Decompositions into Intervals . Leibniz International Proceedings in Informatics, LIPIcs . vol. 293 ,
Skraba P, Yogeshwaran D ( 2024 ) . Central limit theorem for euclidean minimal spanning acycles . Journal of Topology and Analysis1 - 37 .
Bobrowski O, Skraba P ( 2023 ) . Cluster Persistence for Weighted Graphs . Entropy vol. 25 , ( 12 )
Bobrowski O, Skraba P ( 2023 ) . A universal null-distribution for topological data analysis . Scientific Reports vol. 13 , ( 1 )
Beltramo G, Skraba P ( 2022 ) . Persistent homology in ℓ<inf>∞</inf> metric . Computational Geometry: Theory and Applications vol. 101 ,
Beltramo G, Skraba P, Andreeva R, Sarkar R, Giarratano Y, Bernabeu MO ( 2022 ) . Euler characteristic surfaces . Foundations of Data Science vol. 4 , ( 4 ) 505 - 536 .
Carlsson G, Hess K, Mémoli F, Rabadan R, Skraba P ( 2022 ) . Preface . Foundations of Data Science vol. 4 , ( 4 ) i - i .
Wang B, Bujack R, Rosen P, Skraba P, Bhatia H, Hagen H ( 2020 ) . Interpreting Galilean Invariant Vector Field Analysis via Extended Robustness . Topological Methods in Data Analysis and Visualization V , Springer Nature
Skraba P, Bobrowski O ( 2020 ) . Homological Percolation: The Formation of Giant k-Cycles . International Mathematics Research Notices vol. 2022 , ( 8 ) Article 6019979 , 6186 - 6213 .
Brüel-Gabrielsson R, Ganapathi-Subramanian V, Skraba P, Guibas LJ ( 2020 ) . Topology-Aware Surface Reconstruction for Point Clouds . Computer Graphics Forum: the international journal of the Eurographics Association vol. 39 , ( 5 ) 197 - 207 .
Skraba P, Thoppe G, Yogeshwaran D ( 2020 ) . Randomly weighted d-complexes: Minimal spanning acycles and Persistence diagrams . The Electronic Journal of Combinatorics vol. 27 , ( 2 )
Bobrowski O, Skraba P ( 2020 ) . Homological percolation and the Euler characteristic . Physical Review E vol. 101 , ( 3 )
Brüel-Gabrielsson R, Nelson BJ, Dwaraknath A, Skraba P, Guibas LJ, Carlsson G ( 2020 ) . A Topology Layer for Machine Learning . Proceedings of Machine Learning Research . vol. 108 , 1553 - 1563 .
Senozetnik M, Bradesko L, Subic T, Herga Z, Urbancic J, Skraba P, Mladenic D ( 2019 ) . Estimating point-of-interest rating based on visitors geospatial behaviour . South African Computer Journal vol. 16 , ( 1 ) 131 - 154 .
Govc D, Skraba P ( 2018 ) . An Approximate Nerve Theorem . Foundations of Computational Mathematics vol. 18 , ( 5 ) 1245 - 1297 .
Poulenard A, Skraba P, Ovsjanikov M ( 2018 ) . Topological Function Optimization for Continuous Shape Matching . Computer Graphics Forum vol. 37 , ( 5 ) 13 - 25 .
Stopar L, Skraba P, Grobelnik M, Mladenic D ( 2018 ) . StreamStory: Exploring Multivariate Time Series on Multiple Scales . IEEE Transactions on Visualization and Computer Graphics vol. 25 , ( 4 ) 1788 - 1802 .
Škraba P ( 2018 ) . Persistent homology and machine learning . Informatica (Slovenia) vol. 42 , ( 2 ) 253 - 258 .
Kazic B, Rupnik J, Skraba P, Bradesko L, Mladenic D ( 2017 ) . Predicting Users’ Mobility Using Monte Carlo Simulations . IEEE Access vol. 5 , 27400 - 27420 .
Šoberl D, Kosta NM, Škraba P ( 2017 ) . Decentralized Computation of Homology in Wireless Sensor Networks Using Spanning Trees . Lecture Notes in Computer Science . vol. 10410 , 25 - 40 .
Bobrowski O, Kahle M, Skraba P ( 2017 ) . Maximally persistent cycles in random geometric complexes . The Annals of Applied Probability vol. 27 , ( 4 ) 2032 - 2060 .
Mole M, Wang L, Stanič S, Bergant K, Eichinger WE, Ocaña F, Strajnar B, Škraba P et al. ( 2017 ) . Lidar measurements of Bora wind effects on aerosol loading . Journal of Quantitative Spectroscopy and Radiative Transfer vol. 188 , 39 - 45 .
Kudryavtseva G, Škraba P ( 2016 ) . The principal bundles over an inverse semigroup . Semigroup Forum vol. 94 , ( 3 ) 674 - 695 .
Skraba P, Rosen P, Wang B, Chen G, Bhatia H, Pascucci V ( 2016 ) . Critical Point Cancellation in 3D Vector Fields: Robustness and Discussion . IEEE Trans Vis Comput Graph vol. 22 , ( 6 ) 1683 - 1693 .
Vejdemo-Johansson M, Skraba P ( 2016 ) . Topology, Big Data and Optimization . Big Data Optimization: Recent Developments and Challenges , vol. 18 , Springer Nature
Fortuna C, De Poorter E, Škraba P, Moerman I ( 2016 ) . Data Driven Wireless Network Design: A Multi-level Modeling Approach . Wireless Personal Communications vol. 88 , ( 1 ) 63 - 77 .
Rupnik J, Muhic A, Leban G, Skraba P, Fortuna B, Grobelnik M ( 2016 ) . News Across Languages - Cross-Lingual Document Similarity and Event Tracking . Journal of Artificial Intelligence Research vol. 55 , 283 - 316 .
Kerber M, Sheehy DR, Skraba P ( 2016 ) . Persistent Homology and Nested Dissection . Conference: Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms1234 - 1245 .
Skraba P, Wang B, Chen G, Rosen P ( 2015 ) . Robustness-Based Simplification of 2D Steady and Unsteady Vector Fields . IEEE Transactions on Visualization and Computer Graphics vol. 21 , ( 8 ) 930 - 944 .
Vejdemo-Johansson M, Pokorny FT, Skraba P, Kragic D ( 2015 ) . Cohomological learning of periodic motion . Applicable Algebra in Engineering, Communication and Computing vol. 26 , ( 1-2 ) 5 - 26 .
Skraba P, Wang B ( 2014 ) . Interpreting Feature Tracking Through the Lens of Robustness . Topological Methods in Data Analysis and Visualization III , Springer Nature
Skraba P, Wang B, Chen G, Rosen P ( 2014 ) . 2D Vector Field Simplification Based on Robustness . Conference: 2014 IEEE Pacific Visualization Symposium49 - 56 .
Chazal F, Guibas LJ, Oudot SY, Skraba P ( 2009 ) . Analysis of Scalar Fields over Point Cloud Data . Conference: Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms1021 - 1030 .
Skraba P, Wang B ( 2014 ) . Approximating Local Homology from Samples . Conference: Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms174 - 192 .
Chazal F, Guibas LJ, Oudot SY, Skraba P ( 2013 ) . Persistence-Based Clustering in Riemannian Manifolds . Journal of the ACM vol. 60 , ( 6 ) 1 - 38 .
Wang B, Rosen P, Skraba P, Bhatia H, Pascucci V ( 2013 ) . Visualizing Robustness of Critical Points for 2D Time‐Varying Vector Fields . Computer Graphics Forum vol. 32 , ( 3pt2 ) 221 - 230 .
Muhic A, Rupnik J, Skraba P ( 2012 ) . Cross-lingual document similarity . Proceedings of the International Conference on Information Technology Interfaces, ITI . 387 - 392 .
Chazal F, Skraba P, Patel A ( 2012 ) . Computing well diagrams for vector fields on Rn . Applied Mathematics Letters vol. 25 , ( 11 ) 1725 - 1728 .
Chazal F, Guibas LJ, Oudot SY, Skraba P ( 2011 ) . Persistence-based clustering in riemannian manifolds . Conference: Proceedings of the twenty-seventh annual symposium on Computational geometry97 - 106 .
Milosavljević N, Morozov D, Skraba P ( 2011 ) . Zigzag persistent homology in matrix multiplication time . Conference: Proceedings of the twenty-seventh annual symposium on Computational geometry216 - 225 .
Chazal F, Guibas LJ, Oudot SY, Skraba P ( 2011 ) . Scalar Field Analysis over Point Cloud Data . Discrete & Computational Geometry vol. 46 , ( 4 )
Skraba P, Ovsjanikov M, Chazal F, Guibas L ( 2010 ) . Persistence-based Segmentation of Deformable Shapes . Conference: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops45 - 52 .
Motskin A, Roughgarden T, Skraba P, Guibas L ( 2009 ) . Lightweight Coloring and Desynchronization for Networks . Conference: IEEE INFOCOM 20092383 - 2391 .
Skraba P, Guibas L ( 2007 ) . Energy Efficient Intrusion Detection in Camera Sensor Networks . Lecture Notes in Computer Science . vol. 4549 , 309 - 323 .
Skraba P, Fang Q, Nguyen A, Guibas L ( 2006 ) . Sweeps over wireless sensor networks . Conference: Proceedings of the fifth international conference on Information processing in sensor networks - IPSN '06143 - 151 .
Skraba P, Fang Q, Nguyen A, Guibas L ( 2006 ) . Sweeps Over Wireless Sensor Networks . Conference: 2006 5th International Conference on Information Processing in Sensor Networks143 - 151 .
Škraba P, Aghajan H, Bahai A ( 2004 ) . Cross-Layer Optimization for High Density Sensor Networks: Distributed Passive Routing Decisions . Lecture Notes in Computer Science . vol. 3158 , 266 - 279 .
Škraba P, Aghajan H, Bahai A ( 2004 ) . Distributed Passive Routing Decisions in Mobile Ad-Hoc Networks . Conference: IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 vol. 4 , 2814 - 2818 .
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