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Ylinen A, Mäkinen J, Kouhia R. Two models for hydraulic cylinders in flexible multibody simulations. julkaisussa Computational Methods for Solids and Fluids: Multiscale Analysis, Probability Aspects and Model Reduction. Springer. 2016. s. 463-493. (Computational Methods in Applied Sciences). https://doi.org/10.1007/978-3-319-27996-1_17

Yin Q, Wang Z, Xia C, Dehmer M, Emmert-Streib F, Jin Z. A novel epidemic model considering demographics and intercity commuting on complex dynamical networks. Applied Mathematics and Computation. 2020;386. 125517. https://doi.org/10.1016/j.amc.2020.125517

Yang D, Qian Y, Cai D, Yan S, Kämäräinen J-K, Chen K. Visibility-Aware Part Coding for Vehicle Viewing Angle Estimation. julkaisussa 9th International Conference on Information Science and Technology, ICIST 2019. IEEE. 2019. s. 65-70 https://doi.org/10.1109/ICIST.2019.8836907

Wang J, Ray AK. A full-potential linearized augmented plane wave study of the interaction of CO2 with α-Pu (020) surface nanolayers. Journal of Computational and Theoretical Nanoscience. 2014;11(7):1710-1717. https://doi.org/10.1166/jctn.2014.3555

Wan P, Tu J, Dehmer M, Zhang S, Emmert-Streib F. Graph entropy based on the number of spanning forests of c-cyclic graphs. Applied Mathematics and Computation. 2019 joulu 15;363. 124616. https://doi.org/10.1016/j.amc.2019.124616

Vuojamo V, Eriksson S-L. Integral kernels for k-hypermonogenic functions. Complex Variables and Elliptic Equations. 2017;62(9):1-12. https://doi.org/10.1080/17476933.2016.1250402

Valkealahti S, Manninen M. Melting of copper clusters. Computational Materials Science. 1993 tammi 1;1(2):123-134. https://doi.org/10.1016/0927-0256(93)90003-6

Uusitalo MA, Peltonen J, Ryhänen T. Machine learning: How it can help nanocomputing. Journal of Computational and Theoretical Nanoscience. 2011 elo;8(8):1347-1363. https://doi.org/10.1166/jctn.2011.1821

Tripathi S, Dehmer M, Emmert-Streib F. NetBioV: An R package for visualizing large network data in biology and medicine. Bioinformatics. 2014 huhti 2;30(19):2834-2836. https://doi.org/10.1093/bioinformatics/btu384

Stupnikov A, Tripathi S, De Matos Simoes R, McArt D, Salto-Tellez M, Glazko G et al. SamExploreR: Exploring reproducibility and robustness of RNA-seq results based on SAM files. Bioinformatics. 2016 marras 1;32(21):3345-3347. https://doi.org/10.1093/bioinformatics/btw475

Stockrahm A, Lahtinen V, Kangas JJJ, Kotiuga PR. Cuts for 3-D magnetic scalar potentials: Visualizing unintuitive surfaces arising from trivial knots. Computers and Mathematics with Applications. 2019. https://doi.org/10.1016/j.camwa.2019.05.023

Singh AK, Ahonen A, Ghabcheloo R, Mueller A. Introducing Multi-Convexity in Path Constrained Trajectory Optimization for Mobile Manipulators. julkaisussa European Control Conference 2020, ECC 2020. IEEE. 2020. s. 1178-1185

Rodrigues PC, Monteiro A, Lourenço VM. A robust AMMI model for the analysis of genotype-by-environment data. Bioinformatics. 2015 heinä 1;32(1):58-66. https://doi.org/10.1093/bioinformatics/btv533

Rahmatallah Y, Emmert-Streib F, Glazko G. Gene Sets Net Correlations Analysis (GSNCA): A multivariate differential coexpression test for gene sets. Bioinformatics. 2014 helmi 1;30(3):360-368. https://doi.org/10.1093/bioinformatics/btt687

Rahmatallah Y, Emmert-Streib F, Glazko G. Gene set analysis for self-contained tests: Complex null and specific alternative hypotheses. Bioinformatics. 2012 joulu;28(23):3073-3080. https://doi.org/10.1093/bioinformatics/bts579

Orelma H, Vieira N. Homogeneous (α,k)-Polynomial Solutions of the Fractional Riesz System in Hyperbolic Space. Complex Analysis and Operator Theory. 2017;11(5):1253–1267. https://doi.org/10.1007/s11785-017-0666-4

Mesaros A, Diment A, Elizalde B, Heittola T, Vincent E, Raj B et al. Sound Event Detection in the DCASE 2017 Challenge. IEEE/ACM Transactions on Audio Speech and Language Processing. 2019 kesä 1;27(6):992-1006. https://doi.org/10.1109/TASLP.2019.2907016

Martins L, Neeli-Venkata R, Oliveira SMD, Häkkinen A, Ribeiro AS, Fonseca JM. SCIP: a single-cell image processor toolbox. Bioinformatics. 2018 joulu 15;34(24):4318-4320. https://doi.org/10.1093/bioinformatics/bty505

Ma L, Ray AK. Growth behavior and magnetic properties of spherical uranium oxide nanoclusters. Journal of Computational and Theoretical Nanoscience. 2013 helmi;10(2):334-340. https://doi.org/10.1166/jctn.2013.2701

Ma L, Wang J, Hao Y, Wang G. Density functional theory study of FePdn (n = 2-14) clusters and interactions with small molecules. Computational Materials Science. 2013 helmi;68:166-173. https://doi.org/10.1016/j.commatsci.2012.10.014

Ma S, Ukkonen L, Sydänheimo L, Björninen T. Comparison of Human Head Phantoms with Different Complexities for Implantable Antenna Development. julkaisussa 2018 International Applied Computational Electromagnetics Society (ACES) Symposium: 29 July-1 Aug. 2018, China. IEEE. 2019 https://doi.org/10.23919/ACESS.2018.8669363

Luukko PJJ, Helske J, Räsänen E. Introducing libeemd: a program package for performing the ensemble empirical mode decomposition. Computational Statistics. 2016 kesä 1;31(2):545-557. https://doi.org/10.1007/s00180-015-0603-9

Levämäki H, Tian L-Y, Vitos L, Ropo M. An automated algorithm for reliable equation of state fitting of magnetic systems. Computational Materials Science. 2019;156:121-128. https://doi.org/10.1016/j.commatsci.2018.09.026

Kuva J, Voutilainen M, Mattila K. Modeling mass transfer in fracture flows with the time domain-random walk method. COMPUTATIONAL GEOSCIENCES. 2019. https://doi.org/10.1007/s10596-019-09852-5

Kuang Y, Ma S, Ukkonen L, Virkki J, Björninen T. Circularly Polarized Textile Tag Antenna for Wearable Passive UHF RFID Systems. julkaisussa 2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018. IEEE. 2019 https://doi.org/10.23919/ACESS.2018.8669314

Kartasalo K, Latonen L, Vihinen J, Visakorpi T, Nykter M, Ruusuvuori P. Comparative analysis of tissue reconstruction algorithms for 3D histology. Bioinformatics. 2018 syys 1;34(17):3013-3021. https://doi.org/10.1093/bioinformatics/bty210

Karilainen T, Cramariuc O, Kuisma M, Tappura K, Hukka TI. Van der Waals interactions are critical in Car-Parrinello molecular dynamics simulations of porphyrin-fullerene dyads. Journal of Computational Chemistry. 2015;36(9):612-621. https://doi.org/10.1002/jcc.23834

Hella L, Kuusisto A, Meier A, Vollmer H. Satisfiability of modal inclusion logic: Lax and strict semantics. ACM TRANSACTIONS ON COMPUTATIONAL LOGIC. 2019 loka 1;21(1). 7. https://doi.org/10.1145/3356043

Häkkinen A, Ribeiro AS. Estimation of GFP-tagged RNA numbers from temporal fluorescence intensity data. Bioinformatics. 2015 tammi 1;31(1):69-75. https://doi.org/10.1093/bioinformatics/btu592

Häkkinen A, Ribeiro AS. Characterizing rate limiting steps in transcription from RNA production times in live cells. Bioinformatics. 2016 touko 1;32(9):1346-1352. https://doi.org/10.1093/bioinformatics/btv744

Guzmán Adán A, Orelma H, Sommen F. Hypermonogenic solutions and plane waves of the Dirac operator in Rp×Rq. Applied Mathematics and Computation. 2019 huhti 1;346:1-14. https://doi.org/10.1016/j.amc.2018.09.058

Gusrialdi A, Xu Y, Qu Z, Simaan MA. Resilient Cooperative Voltage Control for Distribution Network with High Penetration Distributed Energy Resources. julkaisussa European Control Conference 2020, ECC 2020. IEEE. 2020. s. 1533-1539

Glazko GV, Emmert-Streib F. Unite and conquer: Univariate and multivariate approaches for finding differentially expressed gene sets. Bioinformatics. 2009 syys;25(18):2348-2354. https://doi.org/10.1093/bioinformatics/btp406

Ghorbani M, Dehmer M, Maimani H, Maddah S, Roozbayani M, Emmert-Streib F. The watching system as a generalization of identifying code. Applied Mathematics and Computation. 2020;380. 125302. https://doi.org/10.1016/j.amc.2020.125302

Eriksson S-L, Orelma H. On k-Hypermonogenic Functions and Their Mean Value Properties. Complex Analysis and Operator Theory. 2016;10(2):311-325. https://doi.org/10.1007/s11785-015-0445-z

Eriksson SL, Orelma H, Vieira N. Hypermonogenic Functions of Two Vector Variables. Complex Analysis and Operator Theory. 2018;12(2):555–570. https://doi.org/10.1007/s11785-017-0728-7

Enkavi G, Li J, Wen P, Thangapandian S, Moradi M, Jiang T et al. A microscopic view of the mechanisms of active transport across the cellular membrane. Annual Reports in Computational Chemistry. 2014;10:77-125. https://doi.org/10.1016/B978-0-444-63378-1.00004-5

Emmert-Streib F. Universal construction mechanism for networks from one-dimensional symbol sequences. Applied Mathematics and Computation. 2012 loka 15;219(3):1020-1030. https://doi.org/10.1016/j.amc.2012.07.006

Emmert-Streib F. Evolutionary dynamics of the spatial Prisoner's Dilemma with self-inhibition. Applied Mathematics and Computation. 2012 helmi 5;218(11):6482-6488. https://doi.org/10.1016/j.amc.2011.12.018

Emmert-Streib F, Dehmer M. Topological mappings between graphs, trees and generalized trees. Applied Mathematics and Computation. 2007 maalis 15;186(2):1326-1333. https://doi.org/10.1016/j.amc.2006.07.162

Emmert-Streib F, Dehmer M. Information theoretic measures of UHG graphs with low computational complexity. Applied Mathematics and Computation. 2007 heinä 15;190(2):1783-1794. https://doi.org/10.1016/j.amc.2007.02.095

Emmert-Streib F. Algorithmic computation of knot polynomials of secondary structure elements of proteins. Journal of Computational Biology. 2006 loka 1;13(8):1503-1512. https://doi.org/10.1089/cmb.2006.13.1503

Dumitrescu B, Şicleru BC, Avram F. Modeling probability densities with sums of exponentials via polynomial approximation. Journal of Computational and Applied Mathematics. 2016;292:513–525. https://doi.org/10.1016/j.cam.2015.07.032

Dong G, Shen Y, He H, Virkki J, Hu S. Chipless graphene tag and dual-CP reader for Internet of Things. julkaisussa 2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017. IEEE. 2017

Dehmer M, Emmert-Streib F, Shi Y. Graph distance measures based on topological indices revisited. Applied Mathematics and Computation. 2015 kesä 18;266:623-633. https://doi.org/10.1016/j.amc.2015.05.072

Dehmer M, Emmert-Streib F, Gesell T. A comparative analysis of multidimensional features of objects resembling sets of graphs. Applied Mathematics and Computation. 2008 helmi 15;196(1):221-235. https://doi.org/10.1016/j.amc.2007.05.058

Dehmer M, Grabner M, Mowshowitz A, Emmert-Streib F. An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants. Advances in Computational Mathematics. 2013 elo;39(2):311-325. https://doi.org/10.1007/s10444-012-9281-0

Dehmer M, Emmert-Streib F. Structural similarity of directed universal hierarchical graphs: A low computational complexity approach. Applied Mathematics and Computation. 2007 joulu 1;194(1):7-20. https://doi.org/10.1016/j.amc.2007.04.006

Dehmer M, Emmert-Streib F. Comparing large graphs efficiently by margins of feature vectors. Applied Mathematics and Computation. 2007 touko 15;188(2):1699-1710. https://doi.org/10.1016/j.amc.2006.11.185

Dehmer M, Emmert-Streib F, Kilian J. A similarity measure for graphs with low computational complexity. Applied Mathematics and Computation. 2006 marras 1;182(1):447-459. https://doi.org/10.1016/j.amc.2006.04.006

Dehmer M, Chen Z, Shi Y, Zhang Y, Tripathi S, Ghorbani M et al. On efficient network similarity measures. Applied Mathematics and Computation. 2019 joulu 1;362. 124521. https://doi.org/10.1016/j.amc.2019.06.035

Dehmer M, Emmert-Streib F, Mowshowitz A, Ilić A, Chen Z, Yu G et al. Relations and bounds for the zeros of graph polynomials using vertex orbits. Applied Mathematics and Computation. 2020 syys 1;380. 125239. https://doi.org/10.1016/j.amc.2020.125239

Chen Z, Dehmer M, Emmert-Streib F, Shi Y. Entropy bounds for dendrimers. Applied Mathematics and Computation. 2014 syys 1;242:462-472. https://doi.org/10.1016/j.amc.2014.05.105

Carabias Orti JJ, Nikunen J, Virtanen T, Vera-Candeas P. Multichannel Blind Sound Source Separation using Spatial Covariance Model with Level and Time Differences and Non-Negative Matrix Factorization. IEEE/ACM Transactions on Audio Speech and Language Processing. 2018 syys;26(9):1512-1527. https://doi.org/10.1109/TASLP.2018.2830105

Belahcen A, Kouhia R, Fonteyn K. The different levels of magneto-mechanical coupling in energy conversion machines and devices. julkaisussa Proceedings of the 4th International Conference on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2011. 2011. s. 472-483

Batty C, Paunonen L, Seifert D. Optimal energy decay for the wave-heat system on a rectangular domain. SIAM JOURNAL ON MATHEMATICAL ANALYSIS. 2019;51(2):808-819. https://doi.org/10.1137/18M1195796

Altay G, Emmert-Streib F. Revealing differences in gene network inference algorithms on the network level by ensemble methods. Bioinformatics. 2010 touko 25;26(14):1738-1744. btq259. https://doi.org/10.1093/bioinformatics/btq259

Airiskallio E, Nurmi E, Väyrynen IJ, Kokko K, Ropo M, Punkkinen MPJ et al. Magnetic origin of the chemical balance in alloyed Fe-Cr stainless steels: First-principles and Ising model study. Computational Materials Science. 2014;92:135-140. https://doi.org/10.1016/j.commatsci.2014.05.036