Haukkanen, P., Mattila, M., & Mäntysalo, J. (2020). Studying the inertias of LCM matrices and revisiting the Bourque-Ligh conjecture. Journal of Combinatorial Theory. Series A, 171, [105161]. https://doi.org/10.1016/j.jcta.2019.105161

Li, M., Alhussein, O., Sofotasios, P. C., Muhaidat, S., Yoo, P. D., Liang, J., & Wang, A. (2020). Censor-Based Cooperative Multi-Antenna Spectrum Sensing with Imperfect Reporting Channels. IEEE Transactions on Sustainable Computing, 5(1), 48-60. https://doi.org/10.1109/TSUSC.2019.2896667

Nanni, L., Maguolo, G., & Paci, M. (2020). Data augmentation approaches for improving animal audio classification. Ecological Informatics, 57, [101084]. https://doi.org/10.1016/j.ecoinf.2020.101084

Goranko, V., Kuusisto, A., & Rönnholm, R. (2020). Game-theoretic semantics for ATL+ with applications to model checking. Information and Computation, [104554]. https://doi.org/10.1016/j.ic.2020.104554

Hella, L. T., & Vilander, M. S. (2019). Formula size games for modal logic and mu-calculus. JOURNAL OF LOGIC AND COMPUTATION, [exz025]. https://doi.org/10.1093/logcom/exz025

Heljakka, K., Ihamaki, P., Tuomi, P., & Saarikoski, P. (2019). Gamified coding: Toy robots and playful learning in early education. teoksessa Proceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019 (Sivut 800-805). [9071010] IEEE. https://doi.org/10.1109/CSCI49370.2019.00152

Qian, Y., Chen, K., & Yu, H. (2019). Fast fourier color constancy and grayness index for ISPA illumination estimation challenge. teoksessa S. Loncaric, R. Bregovic, M. Carli, & M. Subasic (Toimittajat), ISPA 2019 - 11th International Symposium on Image and Signal Processing and Analysis (Sivut 352-354). (International Symposium on Image and Signal Processing and Analysis, ISPA; Vuosikerta 2019-September). IEEE. https://doi.org/10.1109/ISPA.2019.8868451

Vilander, M., & Lück, M. (2019). On the Succinctness of Atoms of Dependency. Logical Methods in Computer Science, 15(3), 17:1-17:28.

Robertsén, F., Mattila, K., & Westerholm, J. (2019). High-performance SIMD implementation of the lattice-Boltzmann method on the Xeon Phi processor. Concurrency Computation, 31(13), [e5072]. https://doi.org/10.1002/cpe.5072

Javanainen, M., Enkavi, G., Guixà-Gonzaléz, R., Kulig, W., Martinez-Seara, H., Levental, I., & Vattulainen, I. (2019). Reduced level of docosahexaenoic acid shifts GPCR neuroreceptors to less ordered membrane regions. PLoS Computational Biology, 15(5), [e1007033]. https://doi.org/10.1371/journal.pcbi.1007033

De Biasi, M., & Lauri, J. (2019). On the complexity of restoring corrupted colorings. Journal of Combinatorial Optimization, 37(4), 1150-1169. https://doi.org/10.1007/s10878-018-0342-2

Stockrahm, A., Lahtinen, V., Kangas, J. J. J., & Kotiuga, P. R. (Hyväksytty/painossa). Cuts for 3-D magnetic scalar potentials: Visualizing unintuitive surfaces arising from trivial knots. Computers and Mathematics with Applications. https://doi.org/10.1016/j.camwa.2019.05.023

Kuusisto, A., & Reiter, F. (2019). Emptiness problems for distributed automata. Information and Computation, [104503]. https://doi.org/10.1016/j.ic.2019.104503

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

Martins, L., Neeli-Venkata, R., Oliveira, S. M. D., Häkkinen, A., Ribeiro, A. S., & Fonseca, J. M. (2018). SCIP: a single-cell image processor toolbox. Bioinformatics, 34(24), 4318-4320. https://doi.org/10.1093/bioinformatics/bty505

Pantsar, T., Rissanen, S., Dauch, D., Laitinen, T., Vattulainen, I., & Poso, A. (2018). Assessment of mutation probabilities of KRAS G12 missense mutants and their long-timescale dynamics by atomistic molecular simulations and Markov state modeling. PLoS Computational Biology, 14(9), [e1006458]. https://doi.org/10.1371/journal.pcbi.1006458

Petrov, V., Moltchanov, D., Koucheryavy, Y., & Jornet, J. M. (2018). The effect of small-scale mobility on terahertz band communications. teoksessa Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2018 ACM. https://doi.org/10.1145/3233188.3242902

Adonias, G. L., Barros, M. T., Doyle, L., & Balasubramaniam, S. (2018). Utilising EEG signals for modulating neural molecular communications. teoksessa Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2018 Association for Computing Machinery, Inc. https://doi.org/10.1145/3233188.3236333

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

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

Ito, I., & Egiazarian, K. (2017). Full search equivalent fast block matching using orthonormal tree-structured haar transform. teoksessa ISPA 2017 - 10th International Symposium on Image and Signal Processing and Analysis (Sivut 177-182). IEEE COMPUTER SOCIETY PRESS. https://doi.org/10.1109/ISPA.2017.8073591

Enkavi, G., Mikkolainen, H., Güngör, B., Ikonen, E., & Vattulainen, I. (2017). Concerted regulation of npc2 binding to endosomal/lysosomal membranes by bis(monoacylglycero)phosphate and sphingomyelin. PLoS Computational Biology, 13(10), [e1005831]. https://doi.org/10.1371/journal.pcbi.1005831

Leppänen, L., Leinonen, J., Ihantola, P., & Hellas, A. (2017). Predicting academic success based on learning material usage. teoksessa SIGITE 2017 - Proceedings of the 18th Annual Conference on Information Technology Education (Sivut 13-18). ACM. https://doi.org/10.1145/3125659.3125695

Leinonen, J., Leppänen, L., Ihantola, P., & Hellas, A. (2017). Comparison of time metrics in programming. teoksessa ICER 2017 - Proceedings of the 2017 ACM Conference on International Computing Education Research (Sivut 200-208). ACM. https://doi.org/10.1145/3105726.3106181

Vuorio, J., Vattulainen, I., & Martinez-Seara, H. (2017). Atomistic fingerprint of hyaluronan–CD44 binding. PLoS Computational Biology, 13(7), [e1005663]. https://doi.org/10.1371/journal.pcbi.1005663

Masek, P., Mokrov, E., Pyattaev, A., Zeman, K., Ponomarenko-Timofeev, A., Samuylov, A., ... Samouylov, K. (2017). Experimental evaluation of dynamic licensed shared access operation in live 3GPP LTE system. teoksessa 2016 IEEE Global Communications Conference (GLOBECOM) IEEE. https://doi.org/10.1109/GLOCOM.2016.7841826

Siiskonen, A., & Priimägi, A. (2017). Benchmarking DFT methods with small basis sets for the calculation of halogen-bond strengths. Journal of Molecular Modeling, 23(2), [50]. https://doi.org/10.1007/s00894-017-3212-4

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

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

Gupta, J. P., Menon, K., Kärkkäinen, H., Huhtamäki, J., Mukkamala, R. R., Hussain, A., ... Pirkkalainen, H. (2016). Identifying weak ties from publicly available social media data in an event. teoksessa AcademicMindtrek '16 Proceedings of the 20th International Academic Mindtrek Conference (Sivut 11-19). ACM. https://doi.org/10.1145/2994310.2994354

Devillers, R., Valmari, A., & Penczek, W. (2016). Application and theory of Petri nets and other models of concurrency: Special issue of selected papers from Petri Nets 2015. Fundamenta Informaticae, 146(1), v-vi. https://doi.org/10.3233/FI-2016-1373

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

Piipponen, A., & Valmari, A. (2016). Constructing Minimal Coverability Sets. Fundamenta Informaticae, 143(3-4), 393-414. https://doi.org/10.3233/FI-2016-1319

Park, Y., Alam, M. H., Ryu, W. J., & Lee, S. (2016). BL-LDA: Bringing bigram to supervised topic model. teoksessa Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015 (Sivut 83-88). [7424068] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI.2015.146

Hosseinzadeh, S., Hyrynsalmi, S., Conti, M., & Leppänen, V. (2016). Security and privacy in cloud computing via obfuscation and diversification: A survey. teoksessa Proceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015 (Sivut 529-535). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CloudCom.2015.29

Canelas, P., Martins, L., Mora, A., S. Ribeiro, A., & Fonseca, J. (2016). An image generator platform to improve cell tracking algorithms simulation of objects of various morphologies, kinetics and clustering. teoksessa SIMULTECH 2016 - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (Sivut 44-55). SCITEPRESS.

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

Martin, F., Singh, D., Belahcen, A., Rasilo, P., Haavisto, A., & Arkkio, A. (2015). Analytical model for magnetic anisotropy of non-oriented steel sheets. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 34(5), 1475-1488. https://doi.org/10.1108/COMPEL-02-2015-0076

Shah, S. B., Rasilo, P., Belahcen, A., & Arkkio, A. (2015). Estimation of additional losses due to random contacts at the edges of stator of an electrical machine. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 34(5), 1501-1510. https://doi.org/10.1108/COMPEL-02-2015-0083

Ruohonen, J., Hyrynsalmi, S., & Leppänen, V. (2015). Software evolution and time series volatility: An empirical exploration. teoksessa 14th International Workshop on Principles of Software Evolution, IWPSE 2015 - Proceedings (Vuosikerta 30-Aug-2015, Sivut 56-65). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/2804360.2804367

Ahmadi, R., Leino, K. R. M., & Nummenmaa, J. (2015). Automatic verification of Dafny programs with traits. teoksessa Proceedings for the 17th Workshop on Formal Techniques for Java-like Programs, FTfJP 2015: co-located with ECOOP 2015 [a4] Association for Computing Machinery, Inc. https://doi.org/10.1145/2786536.2786542

Rodrigues, P. C., Monteiro, A., & Lourenço, V. M. (2015). A robust AMMI model for the analysis of genotype-by-environment data. Bioinformatics, 32(1), 58-66. https://doi.org/10.1093/bioinformatics/btv533

Liang, Y., Ma, L., Wang, J., & Wang, G. (2015). Multistep reactions of water with small Pdn clusters: A first principles study. Journal of Theoretical and Computational Chemistry, 14(3), [1550017]. https://doi.org/10.1142/S0219633615500170

Moradi, E., Koski, K., Hasani, M., Rahmat-Samii, Y., & Ukkonen, L. (2015). Antenna design considerations for far field and near field wireless body-centric systems. teoksessa ICCEM 2015 - 2015 IEEE International Conference on Computational Electromagnetics (Sivut 59-60). [7052555] The Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/COMPEM.2015.7052555

Mygdalis, V., Iosifidis, A., Tefas, A., & Pitas, I. (2015). Video summarization based on Subclass Support Vector Data Description. teoksessa IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIES 2014: 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, Proceedings (Sivut 183-187). The Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/CIES.2014.7011849

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

Belahcen, A., Rasilo, P., Nguyen, T. T., & Clénet, S. (2015). Uncertainty propagation of iron loss from characterization measurements to computation of electrical machines. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 34(3), 624-636. https://doi.org/10.1108/COMPEL-10-2014-0271

Wang, J., Ma, L., Liang, Y., Gao, M., & Wang, G. (2014). Density functional theory study of transition metals doped B80 fullerene. Journal of Theoretical and Computational Chemistry, 13(6), [1450050]. https://doi.org/10.1142/S0219633614500503

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

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

Iosifidis, A., Tefas, A., & Pitas, I. (2014). Exploiting local class information in extreme learning machine. teoksessa NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications (Sivut 49-55). INSTICC PRESS.

Kong, L., Aho, K. L., Granberg, K., Roos, C., & Autio, R. (2013). DBComposer: An R package for integrative analysis and management of gene expression microarray data. teoksessa 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2013 - Proceedings (Sivut 92-93). [6735944] https://doi.org/10.1109/GENSIPS.2013.6735944

Belahcen, A., Fonteyn, K., Kouhia, R., Rasilo, P., & Arkkio, A. (2013). Magnetomechanical coupled FE simulations of rotating electrical machines. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 32(5), 1484-1499. [17095978]. https://doi.org/10.1108/COMPEL-04-2013-0109

Iosifidis, A., Tefas, A., & Pitas, I. (2013). Multidimensional sequence classification based on fuzzy distances and discriminant analysis. IEEE Transactions on Knowledge and Data Engineering, 25(11), 2564-2575. https://doi.org/10.1109/TKDE.2012.223

Iosifidis, A., Tefas, A., & Pitas, I. (2013). Person identification from actions based on Artificial Neural Networks. teoksessa IEEE Workshop on Computational Intelligence in Biometrics and Identity Management, CIBIM (Sivut 7-13) https://doi.org/10.1109/CIBIM.2013.6607907

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

Ma, L., Atta-Fynn, R., & Ray, A. K. (2012). Elemental and mixed actinide dioxides: An ab initio study. Journal of Theoretical and Computational Chemistry, 11(3), 611-629. https://doi.org/10.1142/S021963361250040X

Karavirta, V., Helminen, J., & Ihantola, P. (2012). A Mobile learning application for parsons problems with automatic feedback. teoksessa Proceedings - 12th Koli Calling International Conference on Computing Education Research, Koli Calling 2012 (Sivut 11-18) https://doi.org/10.1145/2401796.2401798

Phan, D. H., Suzuki, J., Carroll, R., Balasubramaniam, S., Donnelly, W., & Botvich, D. (2012). Evolutionary multiobjective optimization for Green clouds. teoksessa GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion (Sivut 19-26) https://doi.org/10.1145/2330784.2330788

Karamanakos, P., Papafotiou, G., & Manias, S. N. (2011). Model predictive control of the interleaved dc-dc boost converter. teoksessa 15th International Conference on System Theory, Control and Computing, ICSTCC 2011

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

Emmert-Streib, F., & Glazko, G. V. (2011). Pathway analysis of expression data: Deciphering functional building blocks of complex diseases. PLoS Computational Biology, 7(5), [e1002053]. https://doi.org/10.1371/journal.pcbi.1002053

Wu, H. H., Shen, C. C., Sane, N., Plishker, W., & Bhattacharyya, S. S. (2011). A model-based schedule representation for heterogeneous mapping of dataflow graphs. teoksessa 2011 IEEE International Symposium on Parallel and Distributed Processing, Workshops and Phd Forum, IPDPSW 2011 (Sivut 70-81). [6008822] https://doi.org/10.1109/IPDPS.2011.128

Bulling, A., Duchowski, A. T., & Majaranta, P. (2011). PETMEI 2011: The 1st international workshop on pervasive eye tracking and mobile eye-based interaction. teoksessa UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing (Sivut 627-628) https://doi.org/10.1145/2030112.2030248

Khan, S. A., Saastamoinen, J., Tiensyrjä, K., & Nurmi, J. (2011). System level performance simulation of distributed GENESYS applications on multi-core platforms. teoksessa Proceedings - IEEE 9th International Conference on Dependable, Autonomic and Secure Computing, DASC 2011 (Sivut 313-320) https://doi.org/10.1109/DASC.2011.70

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

Brumley, B. B., & Jarvinen, K. U. (2010). Conversion algorithms and implementations for koblitz curve cryptography. IEEE Transactions on Computers, 59(1), 81-92. [5255226]. https://doi.org/10.1109/TC.2009.132

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

Koskinen, J. A., & Kelo, T. O. (2009). Pure e-learning course in information security. teoksessa A. Elci (Toimittaja), Proceedings of SIN'09, Second International Conference on Security of Information and Networks, Famagusta, North Cypros, October 6-10, 2009 (Sivut 8-13). [1626200] https://doi.org/10.1145/1626195.1626200

Emmert-Streib, F., & Dehmer, M. (2008). Robustness in scale-free networks: Comparing directed and undirected networks. International Journal of Modern Physics C, 19(5), 717-726. https://doi.org/10.1142/S0129183108012510

Emmert-Streib, F., & Dehmer, M. (2007). Nonlinear time series prediction based on a power-law noise model. International Journal of Modern Physics C, 18(12), 1839-1852. https://doi.org/10.1142/S0129183107011765

Emmert-Streib, F., & Dehmer, M. (2007). Global information processing in gene networks: Fault tolerance. teoksessa Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007 (Sivut 326-329). [4610138] https://doi.org/10.1109/BIMNICS.2007.4610138

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

Emmert-Streib, F. (2006). A heterosynaptic learning rule for neural networks. International Journal of Modern Physics C, 17(10), 1501-1520. https://doi.org/10.1142/S0129183106009916

Emmert-Streib, F. (2005). Stochastic Sznajd Model in open community. International Journal of Modern Physics C, 16(11), 1693-1699. https://doi.org/10.1142/S0129183105008217

Koskinen, J. A. (2001). Non-injective knapsack public-key cryptosystems. Theoretical Computer Science, 255(1-2), 401-422. https://doi.org/10.1016/S0304-3975(99)00297-2