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

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

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

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

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

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 Aug;39(2):311-325. https://doi.org/10.1007/s10444-012-9281-0

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

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

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

Yu G, Zhang B, Bova GS, Xu J, Shih IM, Wang Y. BACOM: In silico detection of genomic deletion types and correction of normal cell contamination in copy number data. Bioinformatics. 2011 Jun;27(11):1473-1480. btr183. https://doi.org/10.1093/bioinformatics/btr183

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

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

Kuang Y, Ma S, Ukkonen L, Virkki J, Björninen T. Circularly Polarized Textile Tag Antenna for Wearable Passive UHF RFID Systems. In 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 Sep 1;34(17):3013-3021. https://doi.org/10.1093/bioinformatics/bty210

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

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

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

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 Feb;68:166-173. https://doi.org/10.1016/j.commatsci.2012.10.014

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

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

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

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

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

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

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 Dec 15;363. 124616. https://doi.org/10.1016/j.amc.2019.124616

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

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

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

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

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

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

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

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

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

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

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

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

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

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 Sep;26(9):1512-1527. https://doi.org/10.1109/TASLP.2018.2830105

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

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

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

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

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 Sep 1;380. 125239. https://doi.org/10.1016/j.amc.2020.125239

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

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

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 Nov 1;32(21):3345-3347. https://doi.org/10.1093/bioinformatics/btw475

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

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

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 Jun 1;27(6):992-1006. https://doi.org/10.1109/TASLP.2019.2907016

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

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

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

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

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

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

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

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

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