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Mile Sikic
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2020 – today
- 2024
- [j12]Josip Maric, Kresimir Krizanovic, Sylvain Riondet, Niranjan Nagarajan, Mile Sikic:
Comparative analysis of metagenomic classifiers for long-read sequencing datasets. BMC Bioinform. 25(1): 15 (2024) - [c14]Ivan Vujaklija, Sinisa Bidin, Mile Sikic:
Comparative Analysis of Nanopore-based Unsupervised Learning Methods in Epitranscriptomics. MIPRO 2024: 1173-1176 - [i15]Rafael Josip Penic, Tin Vlasic, Roland G. Huber, Yue Wan, Mile Sikic:
RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks. CoRR abs/2403.00043 (2024) - 2023
- [c13]Filip Bosnic
, Mile Sikic
:
Finding Hamiltonian Cycles with Graph Neural Networks. ISPA 2023: 1-6 - [c12]Marijo Simunovic, Lovro Vrcek, Mile Sikic:
Graph Neural Network Meets de Bruijn Genome Assembly. ISPA 2023: 1-6 - [c11]Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic:
Reconstruction of short genomic sequences with graph convolutional networks. MIPRO 2023: 403-409 - [i14]Filip Bosnic, Mile Sikic:
Finding Hamiltonian cycles with graph neural networks. CoRR abs/2306.06523 (2023) - 2022
- [i13]Lovro Vrcek, Xavier Bresson, Thomas Laurent, Martin Schmitz, Mile Sikic:
Learning to Untangle Genome Assembly with Graph Convolutional Networks. CoRR abs/2206.00668 (2022) - 2021
- [j11]Robert Vaser
, Mile Sikic
:
Time- and memory-efficient genome assembly with Raven. Nat. Comput. Sci. 1(5): 332-336 (2021) - 2020
- [i12]Lovro Vrcek, Petar Velickovic, Mile Sikic:
A step towards neural genome assembly. CoRR abs/2011.05013 (2020)
2010 – 2019
- 2019
- [j10]Matija Piskorec
, Tomislav Smuc
, Mile Sikic:
Disentangling Sources of Influence in Online Social Networks. IEEE Access 7: 131692-131704 (2019) - [c10]Robert Vaser, Mile Sikic:
Yet another de novo genome assembler. ISPA 2019: 147-151 - [c9]Josip Maric, Mile Sikic:
Approaches to metagenomic classification and assembly. MIPRO 2019: 348-356 - [i11]Neven Miculinic, Marko Ratkovic, Mile Sikic:
MinCall - MinION end2end convolutional deep learning basecaller. CoRR abs/1904.10337 (2019) - [i10]Tomislav Sebrek, Jan Tomljanovic, Josip Krapac, Mile Sikic:
Read classification using semi-supervised deep learning. CoRR abs/1904.10353 (2019) - 2018
- [j9]Kresimir Krizanovic, Amina Echchiki, Julien Roux, Mile Sikic:
Evaluation of tools for long read RNA-seq splice-aware alignment. Bioinform. 34(5): 748-754 (2018) - [c8]Filip Pavetic, Ivan Katanic, Gustav Matula, Goran Zuzic, Mile Sikic:
Fast and Simple Algorithms for Computing both LCSk and LCSk+. Stringology 2018: 50-62 - [i9]Matija Piskorec, Tomislav Smuc, Mile Sikic:
Disentangling sources of influence in online social networks. CoRR abs/1811.10372 (2018) - 2017
- [j8]Martin Sosic, Mile Sikic:
Edlib: a C/C ++ library for fast, exact sequence alignment using edit distance. Bioinform. 33(9): 1394-1395 (2017) - [c7]Matija Piskorec
, Nino Antulov-Fantulin, Iva Miholic, Tomislav Smuc, Mile Sikic:
Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia. COMPLEX NETWORKS 2017: 1015-1027 - [c6]Jan Tomljanovic, Tomislav Sebrek, Mile Sikic:
Unsupervised Learning of Sequencing Read Types. ICCBB 2017: 12-17 - [c5]Strahil Ristov, Robert Vaser, Mile Sikic:
Trade-offs in Query and Target Indexing for the Selection of Candidates in Protein Homology Searches. Stringology 2017: 118-125 - [i8]Filip Pavetic, Ivan Katanic, Gustav Matula, Goran Zuzic, Mile Sikic:
Fast and simple algorithms for computing both $LCS_{k}$ and $LCS_{k+}$. CoRR abs/1705.07279 (2017) - 2016
- [j7]Robert Vaser, Dario Pavlovic, Mile Sikic:
SWORD - a highly efficient protein database search. Bioinform. 32(17): 680-684 (2016) - [j6]Ivan Sovic, Kresimir Krizanovic, Karolj Skala, Mile Sikic:
Evaluation of hybrid and non-hybrid methods for de novo assembly of nanopore reads. Bioinform. 32(17): 2582-2589 (2016) - [i7]Matija Piskorec, Nino Antulov-Fantulin, Iva Miholic, Tomislav Smuc, Mile Sikic:
Modeling peer and external influence in online social networks. CoRR abs/1610.08262 (2016) - 2015
- [c4]Andrej Novák, Kresimir Krizanovic, Alen Lancic, Mile Sikic
:
Some new results on assessment of Q-gram filter efficiency. ISPA 2015: 294-297 - 2014
- [j5]Aik Aun Khoo, Mario Ogrizek-Tomas, Ana Bulovic, Matija Korpar, Ece Gürler, Ivan Slijepcevic, Mile Sikic
, Ivana Mihalek:
ExoLocator - an online view into genetic makeup of vertebrate proteins. Nucleic Acids Res. 42(Database-Issue): 879-881 (2014) - [c3]Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic
, Tomislav Smuc:
Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures. SASO Workshops 2014: 78-83 - [i6]Nino Antulov-Fantulin, Alen Lancic, Tomislav Smuc, Hrvoje Stefancic, Mile Sikic:
Detectability limits of epidemic sources in networks. CoRR abs/1406.2909 (2014) - [i5]Filip Pavetic, Goran Zuzic, Mile Sikic:
$LCSk$++: Practical similarity metric for long strings. CoRR abs/1407.2407 (2014) - 2013
- [j4]Matija Korpar, Mile Sikic
:
SW#-GPU-enabled exact alignments on genome scale. Bioinform. 29(19): 2494-2495 (2013) - [j3]Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic
:
FastSIR algorithm: A fast algorithm for the simulation of the epidemic spread in large networks by using the susceptible-infected-recovered compartment model. Inf. Sci. 239: 226-240 (2013) - [i4]Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic, Tomislav Smuc:
Statistical inference framework for source detection of contagion processes on arbitrary network structures. CoRR abs/1304.0018 (2013) - [i3]Matija Korpar, Mile Sikic:
SW# - GPU enabled exact alignments on genome scale. CoRR abs/1304.5966 (2013) - 2012
- [j2]Alan Tus, Alen Rakipovic, Goran Peretin, Sanja Tomic
, Mile Sikic
:
BioMe: biologically relevant metals. Nucleic Acids Res. 40(Web-Server-Issue): 352-357 (2012) - [c2]Matija Sosic, Mile Sikic:
CUDA implementation of the algorithm for simulating the epidemic spreading over large networks. MIPRO 2012: 1807-1810 - [i2]Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic:
FastSIR Algorithm: A Fast Algorithm for simulation of epidemic spread in large networks by using SIR compartment model. CoRR abs/1202.1639 (2012) - 2011
- [i1]Mile Sikic, Alen Lancic, Nino Antulov-Fantulin, Hrvoje Stefancic:
Epidemic centrality and the underestimated epidemic impact on network peripheral nodes. CoRR abs/1110.2558 (2011)
2000 – 2009
- 2009
- [j1]Mile Sikic
, Sanja Tomic
, Kristian Vlahovicek
:
Prediction of Protein-Protein Interaction Sites in Sequences and 3D Structures by Random Forests. PLoS Comput. Biol. 5(1) (2009) - 2008
- [c1]Mladen Stanke, Mile Sikic
:
Comparison of the RADIUS and Diameter protocols. ITI 2008: 893-898
Coauthor Index
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