Acimovic, J. (2009). Neural networks, cell cultures and some older work on data analysis.. Paper presented at Okinawa Computational Neuroscience Course 2009, Japan.

Aghababaeetafreshi, M., Lehtonen, L. K., Levanen, T., Valkama, M., & Takala, J. (2016). IEEE 802.11ac MIMO Transceiver Baseband Processing on a VLIW Processor. Journal of Signal Processing Systems. https://doi.org/10.1007/s11265-015-1032-2

Ahtiluoto, M., Ellman, A., & Coatanea, E. (2019). Model for evaluating additive manufacturing feasibility in end-use production. Proceedings of the International Conference on Engineering Design, ICED, 1(1), 799-808. https://doi.org/10.1017/dsi.2019.84

Al-Ars, Z., van der Vlugt, S., Jääskeläinen, P., & van der Linden, F. (2019). ALMARVI System Solution for Image and Video Processing in Healthcare, Surveillance and Mobile Applications. Journal of Signal Processing Systems, 91(1), 1-7. https://doi.org/10.1007/s11265-018-1423-2

Altay, G., & Emmert-Streib, F. (2011). Structural influence of gene networks on their inference: Analysis of C3NET. Biology Direct, 6, [31]. https://doi.org/10.1186/1745-6150-6-31

Altay, G., & Emmert-Streib, F. (2010). Inferring the conservative causal core of gene regulatory networks. BMC Systems Biology, 4, [132]. https://doi.org/10.1186/1752-0509-4-132

Bakhouya, M., Chariete, A., Gaber, J., Wack, M., Niar, S., & Coatanea, E. (2012). Performance evaluation of a flow control algorithm for network-on-chip. In Proceedings of the 2012 International Conference on High Performance Computing and Simulation, HPCS 2012 (pp. 281-287). [6266925] https://doi.org/10.1109/HPCSim.2012.6266925

Barford, L., Bhattacharyya, S. S., & Liu, Y. (2017). Data Flow Algorithms for Processors with Vector Extensions: Handling Actors With Internal State. Journal of Signal Processing Systems, 87(1), 21-31. https://doi.org/10.1007/s11265-015-1045-x

Bencheikh, K., & Räsänen, E. (2015). Hermitian one-particle density matrix through a semiclassical gradient expansion. Journal of Physics A: Mathematical and Theoretical, 49(1), [015205]. https://doi.org/10.1088/1751-8113/49/1/015205

Bhattacharyya, S. S., Eker, J., Janneck, J. W., Lucarz, C., Mattavelli, M., & Raulet, M. (2011). Overview of the MPEG reconfigurable video coding framework. Journal of Signal Processing Systems, 63(2), 251-263. https://doi.org/10.1007/s11265-009-0399-3

Blattner, T., Keyrouz, W., Bhattacharyya, S. S., Halem, M., & Brady, M. (2017). A Hybrid Task Graph Scheduler for High Performance Image Processing Workflows. Journal of Signal Processing Systems, 89(3), 457–467. https://doi.org/10.1007/s11265-017-1262-6

Blavatska, V., & Metzler, R. (2015). Conformational properties of complex polymers: Rosette versus star-like structures. Journal of Physics A: Mathematical and Theoretical, 48(13), [135001]. https://doi.org/10.1088/1751-8113/48/13/135001

Borgianni, Y., Lenarduzzi, V., Rotini, F., & Taibi, D. (2018). Bringing stimulated ideation in a web environment: Students’ evaluations of a basic software release. In E. Dekoninck, A. Wodehouse, C. Snider, G. Georgiev, & G. Cascini (Eds.), ICDC 2018 - 5th International Conference on Design Creativity, Conference Proceedings (Proceedings of the International Conference on Engineering Design, ICED). DESIGN SOCIETY.

Boutellier, J., & Silvén, O. (2013). Towards generic embedded multiprocessing for RVC-CAL dataflow programs. Journal of Signal Processing Systems, 73(2), 137-142. https://doi.org/10.1007/s11265-013-0737-3

Boutellier, J., Raulet, M., & Silvén, O. (2013). Automatic hierarchical discovery of quasi-static schedules of RVC-CAL dataflow programs. Journal of Signal Processing Systems, 71(1), 35-40. https://doi.org/10.1007/s11265-012-0676-4

Boutellier, J., Lucarz, C., Lafond, S., Gomez, V. M., & Mattavelli, M. (2011). Quasi-static scheduling of CAL actor networks for reconfigurable video coding. Journal of Signal Processing Systems, 63(2), 191-202. https://doi.org/10.1007/s11265-009-0389-5

Boutellier, J., & Nyländen, T. (2017). Design Flow for GPU and Multicore Execution of Dynamic Dataflow Programs. Journal of Signal Processing Systems, 89(3), 469–478. https://doi.org/10.1007/s11265-017-1260-8

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. In SIMULTECH 2016 - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (pp. 44-55). SCITEPRESS.

Chukhman, I., Jiao, Y., Salem, H. B., & Bhattacharyya, S. S. (2016). Instrumentation-Driven Validation of Dataflow Applications. Journal of Signal Processing Systems, 84(3), 383–397. https://doi.org/10.1007/s11265-015-1073-6

Coatanéa, E., Ritola, T., Tumer, I. Y., & Jensen, D. (2010). A framework for building behavioral models for design-stage failure identification using dimensional analysis. In Proceedings of the ASME Design Engineering Technical Conference (Vol. 5, pp. 591-601). AMER SOC MECHANICAL ENGINEERS. https://doi.org/10.1115/DETC2010-28864

Coatanéa, E., Yannou, B., Honkala, S., Lajunen, A., Saarelainen, T., & Makkonen, P. (2008). Measurement theory and dimensional analysis: Methodological impact on the comparison and evaluation process. In 19th International Conference on Design Theory and Methodology and 1st International Conference on Micro and Nano Systems, presented at - 2007 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2007 (pp. 173-182). AMER SOC MECHANICAL ENGINEERS. https://doi.org/10.1115/DETC2007-34364

Coatanéa, E., Nonsiri, S., Christophe, F., & Mokammel, F. (2014). Graph based representation and analyses for conceptual stages. In 34th Computers and Information in Engineering Conference (Vol. 1A). The American Society of Mechanical Engineers ASME. https://doi.org/10.1115/DETC201435652

Coatanéa, E., Wu, D., Tsarkov, V., Gary Wang, G., Modi, S., & Jafarian, H. (2018). Knowledge-based artificial neural network (KB-ANN) in engineering: Associating functional architecture modeling, dimensional analysis and causal graphs to produce optimized topologies for KB-ANNs. In 38th Computers and Information in Engineering Conference (Vol. 1B-2018). The American Society of Mechanical Engineers ASME. https://doi.org/10.1115/DETC201885895

Dehmer, M., Chen, Z., Emmert-Streib, F., Shi, Y., Tripathi, S., Musa, A., & Mowshowitz, A. (2018). Properties of graph distance measures by means of discrete inequalities. Applied Mathematical Modelling, 59, 739-749. https://doi.org/10.1016/j.apm.2018.01.027

de Matos Simoes, R., Tripathi, S., & Emmert-Streib, F. (2012). Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma. BMC Systems Biology, 6, [38]. https://doi.org/10.1186/1752-0509-6-38

Desnos, K., Pelcat, M., Nezan, J. F., Bhattacharyya, S. S., & Aridhi, S. (2013). PiMM: Parameterized and interfaced dataflow meta-model for MPSoCs runtime reconfiguration. In Proceedings - 2013 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, IC-SAMOS 2013 (pp. 41-48). [6621104] IEEE COMPUTER SOCIETY PRESS. https://doi.org/10.1109/SAMOS.2013.6621104

Di Gironimo, G., Lanzotti, A., Marzullo, D., Esposito, G., Carfora, D., & Siuko, M. (2015). Iterative and Participative Axiomatic Design Process in complex mechanical assemblies: case study on fusion engineering. International Journal on Interactive Design and Manufacturing, 9(4), 325-338. https://doi.org/10.1007/s12008-015-0270-7

Dumitrescu, M., Uusitalo, T., Virtanen, H., Laakso, A., Bardella, P., & Montrosset, I. (2016). Simulation of photon-photon resonance enhanced direct modulation bandwidth of DFB lasers. In 16th International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2016 (pp. 147-148). IEEE. https://doi.org/10.1109/NUSOD.2016.7547075

Elfgen, S., Rasilo, P., & Hameyer, K. (2020). Hysteresis and eddy-current losses in electrical steel utilising edge degradation due to cutting effects. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. https://doi.org/10.1002/jnm.2781

Ellervee, P., & Nurmi, J. (2017). Guest Editorial: Implementation Issues in System-on-Chip. Journal of Signal Processing Systems, 87(3), 269-270. https://doi.org/10.1007/s11265-017-1242-x

Emmert-Streib, F., Tripathi, S., & Matos Simoes, R. D. (2012). Harnessing the complexity of gene expression data from cancer: From single gene to structural pathway methods. Biology Direct, 7, [44]. https://doi.org/10.1186/1745-6150-7-44

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

Emmert-Streib, F., & Dehmer, M. (2011). Networks for systems biology: Conceptual connection of data and function. IET Systems Biology, 5(3), 185-207. https://doi.org/10.1049/iet-syb.2010.0025

Emmert-Streib, F., & Altay, G. (2010). Local network-based measures to assess the inferability of different regulatory networks. IET Systems Biology, 4(4), 277-288. [ISBEAT000004000004000277000001]. https://doi.org/10.1049/iet-syb.2010.0028

Emmert-Streib, F., & Dehmer, M. (2009). Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae. BMC Systems Biology, 3, [76]. https://doi.org/10.1186/1752-0509-3-76

Emmert-Streib, F., & Dehmer, M. (2009). Information processing in the transcriptional regulatory network of yeast: Functional robustness. BMC Systems Biology, 3, [35]. https://doi.org/10.1186/1752-0509-3-35

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

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

Fedorov, S., Orlov, Y., Samuylov, A., Moltchanov, D., Gaidamaka, Y., Samouylov, K., & Shorgin, S. (2017). Sir distribution in D2D environment with non-stationary mobility of users. In Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017 (pp. 720-725). EUROPEAN COUNCIL FOR MODELLING AND SIMULATION. https://doi.org/10.7148/2017-0720

Georgiev, G. Y., Aho, T., Kesseli, J., Yli-Harja, O., & Kauffman, S. A. (2019). Action and power efficiency in self-organization: The case for growth efficiency as a cellular objective in escherichia coli. In C. L. Flores Martinez, G. Y. Georgiev, J. M. Smart, & M. E. Price (Eds.), Evolution, Development and Complexity - Multiscale Evolutionary Models of Complex Adaptive Systems (pp. 229-244). (Springer Proceedings in Complexity). Springer. https://doi.org/10.1007/978-3-030-00075-2_8

Grigore, V., Hatonen, J., Kyyra, J., & Suntio, T. (1998). Dynamics of a buck converter with a constant power load. In PESC 1998 - 29th Annual IEEE Power Electronics Specialists Conference (pp. 72-78). [701881] (PESC Record - IEEE Annual Power Electronics Specialists Conference; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PESC.1998.701881

Gu, R., Janneck, J. W., Raulet, M., & Bhattacharyya, S. S. (2011). Exploiting statically schedulable regions in dataflow programs. Journal of Signal Processing Systems, 63(1), 129-142. https://doi.org/10.1007/s11265-009-0445-1

Halonen, A., Hyrynsalmi, S., Kimppa, K. K., Knuutila, T., Smed, J., & Hakonen, H. (2012). Towards usability heuristics for games utilizing speech recognition. In 4th Asian Conference on Intelligent Games and Simulation, GAME-ON ASIA 2012 - 4th Asian Simulation Technology Conference, ASTEC 2012 (pp. 51-55). EUROSIS.

Hautala, I., Boutellier, J., Nyländen, T., & Silvén, O. (2018). Toward Efficient Execution of RVC-CAL Dataflow Programs on Multicore Platforms. Journal of Signal Processing Systems, 90(11), 1507-1517. https://doi.org/10.1007/s11265-018-1339-x

Hokkanen, L., & Väänänen-Vainio-Mattila, K. (2015). UX work in startups: Current practices and future needs. In Agile Processes in Software Engineering and Extreme Programming: 16th International Conference, XP 2015, Helsinki, Finland, May 25-29, 2015, Proceedings (Vol. 212, pp. 81-92). (Lecture Notes in Business Information Processing; Vol. 212). Springer Verlag. https://doi.org/10.1007/978-3-319-18612-2_7

Hokkanen, L., Kuusinen, K., & Väänänen, K. (2016). Minimum viable user experience: A framework for supporting product design in startups. In Agile Processes, in Software Engineering, and Extreme Programming: 17th International Conference, XP 2016, Edinburgh, UK, May 24-27, 2016, Proceedings (pp. 66-78). (Lecture Notes in Business Information Processing; Vol. 251). Springer Verlag. https://doi.org/10.1007/978-3-319-33515-5_6

Hosseini, S. S. S., Jamali, M. M., Astola, J., & Gorsevski, P. V. (2016). Target tracking via combination of particle filter and optimisation techniques. International Journal of Mathematical Modelling and Numerical Optimization, 7(2), 212-229. https://doi.org/10.1504/IJMMNO.2016.077068

Humaloja, J-P., Ali-Löytty, S., Pohjolainen, S., & Hämäläinen, T. (2017). Independent Loops Search in Flow Networks Aiming for Well-Conditioned System of Equations. In P. Quintela, P. Barral, D. Gómez, F. J. Pena, J. Rodríguez, P. Salgado, & M. E. Vázquez-Mendéz (Eds.), Progress in Industrial Mathematics at ECMI 2016 (Mathematics in industry; Vol. 26). Springer International Publishing. https://doi.org/10.1007/978-3-319-63082-3

Hussain, W., Hoffmann, H., Ahonen, T., & Nurmi, J. (2017). Power Mitigation by Performance Equalization in a Heterogeneous Reconfigurable Multicore Architecture. Journal of Signal Processing Systems, 87(3), 287–297. https://doi.org/10.1007/s11265-016-1142-5

Hyrynsalmi, S., Seppänen, M., Nokkala, T., Suominen, A., & Järvi, A. (2015). Wealthy, healthy and/or happy —what does ‘ecosystem health’ stand for? In 6th International Conference on Software Business, ICSOB 2015; Braga; Portugal; 10 June 2015 through 12 June 2015 (Vol. 210, pp. 272-287). (Lecture Notes in Business Information Processing; Vol. 210). Springer Verlag. https://doi.org/10.1007/978-3-319-19593-3_24

Hyrynsalmi, S., Suominen, A., Mäkilä, T., Järvi, A., & Knuutila, T. (2012). Revenue models of application developers in android market ecosystem. In Software Business - Third International Conference, ICSOB 2012, Proceedings (pp. 209-222). (Lecture Notes in Business Information Processing; Vol. 114). Springer Verlag. https://doi.org/10.1007/978-3-642-30746-1_17

Järvi, A., Taajamaa, V., & Hyrynsalmi, S. (2015). Lean software startup – an experience report from an entrepreneurial software business course. In Software Business - 6th International Conference, ICSOB 2015, Proceedings (Vol. 210, pp. 230-244). (Lecture Notes in Business Information Processing; Vol. 210). Springer Verlag. https://doi.org/10.1007/978-3-319-19593-3_21

Järvinen, H., Honkanen, M., Järvenpää, M., & Peura, P. (2018). Effect of paint baking treatment on the properties of press hardened boron steels. Journal of Materials Processing Technology, 252, 90-104. https://doi.org/10.1016/j.jmatprotec.2017.08.027

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

Kalimeri, M., Constantoudis, V., Papadimitriou, C., Karamanos, K., Diakonos, F. K., & Papageorgiou, H. (2012). Entropy analysis of word-length series of natural language texts: Effects of text language and genre. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 22(9), [1250223]. https://doi.org/10.1142/S0218127412502239

Karamanakos, P., Geyer, T., & Kennel, R. (2015). Computationally efficient optimization algorithms for model predictive control of linear systems with integer inputs. In 2015 54th IEEE Conference on Decision and Control, CDC 2015 (pp. 3663-3668) https://doi.org/10.1109/CDC.2015.7402787

Kee, H., Shen, C. C., Bhattacharyya, S. S., Wong, I., Rao, Y., & Kornerup, J. (2012). Mapping parameterized cyclo-static dataflow graphs onto configurable hardware. Journal of Signal Processing Systems, 66(3), 285-301. https://doi.org/10.1007/s11265-011-0599-5

Khodamoradi, A., Liu, G., Mattavelli, P., Messo, T., & Abedini, H. (2020). PRBS-based loop gain identification and output impedance shaping in DC microgrid power converters. Mathematics and Computers in Simulation. https://doi.org/10.1016/j.matcom.2020.04.017

Kim, S. C., & Bhattacharyya, S. S. (2017). Implementation of a Multirate Resampler for Multi-carrier Systems on GPUs. Journal of Signal Processing Systems, 89(3), 445–455. https://doi.org/10.1007/s11265-017-1239-5

Koivisto, A. J., Aromaa, M., Koponen, I. K., Fransman, W., Jensen, K. A., Mäkelä, J. M., & Hämeri, K. J. (2015). Workplace performance of a loose-fitting powered air purifying respirator during nanoparticle synthesis. Journal of Nanoparticle Research, 17(4). https://doi.org/10.1007/s11051-015-2990-9

Korhonen, H. M. E., Heikkilä, J., & Törnwall, J. M. (2001). A simulation case study of production planning and control in printed wiring board manufacturing. Winter Simulation Conference Proceedings, 2, 844-847.

Korkiakoski, S., Brøndsted, P., Sarlin, E., & Saarela, O. (2016). Influence of specimen type and reinforcement on measured tension-tension fatigue life of unidirectional GFRP laminates. International Journal of Fatigue, 85, 114-129. https://doi.org/10.1016/j.ijfatigue.2015.12.008

Kouhia, R., Tůma, M., Mäkinen, J., Fedoroff, A., & Marjamäki, H. (2012). Implementation of a direct procedure for critical point computations using preconditioned iterative solvers. Computers & Structures, 108-109, 110-117. https://doi.org/10.1016/j.compstruc.2012.02.009

Kovalchukov, R., Moltchanov, D., Begishev, V., Samuylov, A., Andreev, S., Koucheryavy, Y., & Samouylov, K. (2019). Improved Session Continuity in 5G NR with Joint Use of Multi-Connectivity and Guard Bandwidth. In 2018 IEEE Global Communications Conference, GLOBECOM 2018 IEEE. https://doi.org/10.1109/GLOCOM.2018.8647608

Koyama, C., Tahara, S., Kohara, S., Onodera, Y., Småbråten, D. R., Selbach, S. M., ... Sakata, O. (2020). Very sharp diffraction peak in nonglass-forming liquid with the formation of distorted tetraclusters. NPG ASIA MATERIALS, 12(1), [43]. https://doi.org/10.1038/s41427-020-0220-0

Kreutzer, J., Viehrig, M., Pölönen, R. P., Zhao, F., Ojala, M., Aalto-Setälä, K., & Kallio, P. (2019). Pneumatic unidirectional cell stretching device for mechanobiological studies of cardiomyocytes. BIOMECHANICS AND MODELING IN MECHANOBIOLOGY. https://doi.org/10.1007/s10237-019-01211-8

Krogerus, T., Hyvönen, M., & Huhtala, K. (2018). Analysis of common rail pressure signal of dual-fuel large industrial engine for identification of injection duration of pilot diesel injectors. Fuel, 216, 1-9. https://doi.org/10.1016/j.fuel.2017.11.152

Krüsemann, H., Godec, A., & Metzler, R. (2015). Ageing first passage time density in continuous time random walks and quenched energy landscapes. Journal of Physics A: Mathematical and Theoretical, 48(28), [285001]. https://doi.org/10.1088/1751-8113/48/28/285001

Laakom, F., Raitoharju, J., Iosifidis, A., Nikkanen, J., & Gabbouj, M. (2019). Color Constancy Convolutional Autoencoder. In 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019 (pp. 1085-1090). [9002684] IEEE. https://doi.org/10.1109/SSCI44817.2019.9002684

Lavazza, L., Morasca, S., Taibi, D., & Tosi, D. (2010). Applying SCRUM in an OSS development process: An empirical evaluation. In Agile Processes in Software Engineering and Extreme Programming - 11th International Conference, XP 2010, Proceedings (Vol. 48 LNBIP, pp. 147-159). (Lecture Notes in Business Information Processing; Vol. 48 LNBIP). Springer Verlag. https://doi.org/10.1007/978-3-642-13054-0_11

Lavazza, L., Morasca, S., Taibi, D., & Tosi, D. (2011). OP2A: How to improve the quality of the web portal of open source software products. In Web Information Systems and Technologies - 7th International Conference, WEBIST 2011, Revised Selected Papers (pp. 149-162). (Lecture Notes in Business Information Processing; Vol. 101 LNBIP). Springer Verlag. https://doi.org/10.1007/978-3-642-28082-5-11

Lenarduzzi, V., Stan, A. C., Taibi, D., Venters, G., & Windegger, M. (2018). Prioritizing corrective maintenance activities for android applications: An industrial case study on android crash reports. In Software Quality: Methods and Tools for Better Software and Systems - 10th International Conference, SWQD 2018, Proceedings (pp. 133-143). (Lecture Notes in Business Information Processing; Vol. 302). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-319-71440-0_8

Lenarduzzi, V., Lunesu, I., Matta, M., & Taibi, D. (2015). Functional size measures and effort estimation in agile development: A replicated study. In Agile Processes, in Software Engineering, and Extreme Programming - 16th International Conference, XP 2015, Proceedings (Vol. 212, pp. 105-116). (Lecture Notes in Business Information Processing; Vol. 212). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-319-18612-2_9

Levin, M., Rojas, E., Vanhala, E., Vippola, M., Liguori, B., Kling, K. I., ... Jensen, K. A. (2015). Influence of relative humidity and physical load during storage on dustiness of inorganic nanomaterials: implications for testing and risk assessment. Journal of Nanoparticle Research, 17(8), [337]. https://doi.org/10.1007/s11051-015-3139-6

Li, K., Ghazi, A., Tarver, C., Boutellier, J., Abdelaziz, M., Anttila, L., ... Cavallaro, J. R. (2017). Parallel Digital Predistortion Design on Mobile GPU and Embedded Multicore CPU for Mobile Transmitters. Journal of Signal Processing Systems, 89(3), 417–430. https://doi.org/10.1007/s11265-017-1233-y

Lindroos, M., Laukkanen, A., Cailletaud, G., & Kuokkala, V-T. (2017). On the effect of deformation twinning and microstructure to strain hardening of high manganese austenitic steel 3D microstructure aggregates at large strains. International Journal of Solids and Structures, 125, 68-76. https://doi.org/10.1016/j.ijsolstr.2017.07.015

López, M. B., Nieto, A., Silvén, O., Bóutellier, J., & Vilariño, D. L. (2015). Reconfigurable computing for future vision-capable devices. In Proceedings - 2015 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2015 (pp. 34-41). [7363657] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAMOS.2015.7363657

Lu, W., Nummenmaa, J., & Zhang, Z. (2015). Passive condition pre-enforcement for rights exporting. In Perspectives in Business Informatics Research - 14th International Conference, BIR 2015, Proceedings (Vol. 229, pp. 241-254). (Lecture Notes in Business Information Processing; Vol. 229). Springer Verlag. https://doi.org/10.1007/978-3-319-21915-8_16

Lu, W., Zhang, Z., & Nummenmaa, J. (2012). Characterizing trustworthy digital rights exporting. In Perspectives in Business Informatics Research - 11th International Conference, BIR 2012, Proceedings (Vol. 128 LNBIP, pp. 85-95). (Lecture Notes in Business Information Processing; Vol. 128 LNBIP). Springer Verlag. https://doi.org/10.1007/978-3-642-33281-4_7

Mäki-Jaskari, M. A., & Rantala, T. T. (2004). Possible structures of nonstoichiometric tin oxide: The composition Sn 2O3. Modelling and Simulation in Materials Science and Engineering, 12(1), 33-41. https://doi.org/10.1088/0965-0393/12/1/004

Marinho, P., Vermandel, M., Bourgeois, P., Lejeune, J. P., Mordon, S., & Thines, L. (2014). Preoperative simulation for the planning of microsurgical clipping of intracranial aneurysms. SIMULATION IN HEALTHCARE, 9(6), 370-376. https://doi.org/10.1097/SIH.0000000000000056

Matos Simoes, R. D., Dalleau, S., Williamson, K. E., & Emmert-Streib, F. (2015). Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data. BMC Systems Biology, 9, [21]. https://doi.org/10.1186/s12918-015-0165-z

Mattila, K., Puurtinen, T., Hyväluoma, J., Surmas, R., Myllys, M., Turpeinen, T., ... Timonen, J. (2016). A prospect for computing in porous materials research: Very large fluid flow simulations. Journal of Computational Science, 12, 62-76. https://doi.org/10.1016/j.jocs.2015.11.013

Min, J., Xiang, Z., Zhiming, Z., & Tentzeris, M. M. (2012). A hybrid optimization grey model based on segmented gra and multi-strategy contest for short-term power load forecasting. JOURNAL OF GREY SYSTEM, 24(1), 15-28.

Mokammel, F., Coatanea, E., Christophe, F., Ba Khouya, M., & Medyna, G. (2013). Towards an approach for evaluating the quality of requirements. In 33rd Computers and Information in Engineering Conference (Vol. 2 B). [V02BT02A024] American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2013-13708

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

Neri, M., Perttu, L., Alanen, M., Luscietti, D., & Pilotelli, M. (2020). Safety at chimney-roof penetration: A numerical investigation. In G. Pernigotto, F. Patuzzi, A. Prada, V. Corrado, & A. Gasparella (Eds.), Building Simulation Applications, BSA 2019 - 4th IBPSA-Italy Conference (pp. 123-130). (Building Simulation Applications; Vol. 2020-June). Free University of Bozen Bolzano.

Ni, X., & Huttunen, H. (2020). Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification. Journal of Signal Processing Systems. https://doi.org/10.1007/s11265-020-01567-6

Niinimaki, M., Niemi, T., Martin, S., Nummenmaa, J., & Thanisch, P. (2012). Timely report production from WWW data sources. In Workshops on Business Informatics Research, BIR 2011 International Workshops and Doctoral Consortium, Revised Selected Papers (Vol. 106 LNBIP, pp. 184-195). (Lecture Notes in Business Information Processing; Vol. 106 LNBIP). Springer Verlag. https://doi.org/10.1007/978-3-642-29231-6-15

Nix, E., Das, P., Taylor, J., & Davies, M. (2015). Employing a multi-Objective robust optimisation method for healthy and low-energy dwelling design in Delhi, India. In Proceedings of the 2014 Building Simulation and Optimization Conference (pp. 2093-2100)

Nylanden, T., Boutellier, J., Nikunen, K., Hannuksela, J., & Silven, O. (2012). Reconfigurable miniature sensor nodes for condition monitoring. In Proceedings - 2012 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, IC-SAMOS 2012 (pp. 113-119). [6404164] https://doi.org/10.1109/SAMOS.2012.6404164

Ogeya, M. C., Coatanéa, E., & Medyna, G. (2013). Theory driven design and real proto typing of biomass pyrolitic stove. In Proceedings of the International Conference on Engineering Design, ICED (Vol. 9 DS75-09, pp. 69-78)

Orelma, H. (2019). Continuum approach to high-cycle fatigue. The finite life-time case with stochastic stress history. Vestnik Samarskogo Gosudarstvennogo Tekhnicheskogo Universiteta, Seriya Fiziko-Matematicheskie Nauki, 23(3), 452-463. https://doi.org/10.14498/vsgtu1705

Orlov, Y., Zenyuk, D., Samuylov, A., Moltchanov, D., Andreev, S., Romashkova, O., ... Samouylov, K. (2017). Time-dependent SIR modeling for D2D communications in indoor deployments. In Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017 (pp. 726-731). EUROPEAN COUNCIL FOR MODELLING AND SIMULATION.

Ortombina, L., Liegmann, E., Karamanakos, P., Tinazzi, F., Zigliotto, M., & Kennel, R. (2018). Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives. In 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018 [8460173] IEEE. https://doi.org/10.1109/COMPEL.2018.8460173

Ottosen, N. S., Ristinmaa, M., & Kouhia, R. (2018). Enhanced multiaxial fatigue criterion that considers stress gradient effects. International Journal of Fatigue, 116, 128-139. https://doi.org/10.1016/j.ijfatigue.2018.05.024

Palyulin, V. V., Chechkin, A. V., Klages, R., & Metzler, R. (2016). Search reliability and search efficiency of combined Lévy-Brownian motion: Long relocations mingled with thorough local exploration. Journal of Physics A: Mathematical and Theoretical, 49(39), [394002]. https://doi.org/10.1088/1751-8113/49/39/394002

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

Pascual Campo, P., Lampu, V., Meirhaeghe, A., Boutellier, J., Anttila, L., & Valkama, M. (2019). Digital Predistortion for 5G Small Cell: GPU Implementation and RF Measurements. Journal of Signal Processing Systems. https://doi.org/10.1007/s11265-019-01502-4

Pereira, D. G., Rodrigues, P. C., Mejza, S., & Mexia, J. T. (2012). A comparison between joint regression analysis and the AMMI model: A case study with barley. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 82(2), 193-207. https://doi.org/10.1080/00949655.2011.615839

Pertilä, P., & Nikunen, J. (2015). Distant speech separation using predicted time-frequency masks from spatial features. Speech Communication, 68, 97-106. https://doi.org/10.1016/j.specom.2015.01.006

Pohjolainen, S., & Suutala, A. (2016). Acoustic Modelling. In S. Pohjolainen (Ed.), Mathematical Modelling (pp. 185-205). Switzerland: Springer. https://doi.org/10.1007/978-3-319-27836-0_11

Ponomarenko, M., Egiazarian, K., Lukin, V., & Abramova, V. (2018). Structural Similarity Index with Predictability of Image Blocks. In 2018 IEEE 17th International Conference on Mathematical Methods in Electromagnetic Theory, MMET 2018 - Proceedings (Vol. 2018-July, pp. 115-118). [8460285] IEEE COMPUTER SOCIETY PRESS. https://doi.org/10.1109/MMET.2018.8460285

Puonti, M., & Raitalaakso, T. (2019). Data Vault Mappings to Dimensional Model Using Schema Matching. In P. Doucek, J. Basl, A. Pavlicek, A. M. Tjoa, K. Detter, & M. Raffai (Eds.), Research and Practical Issues of Enterprise Information Systems - 13th IFIP WG 8.9 International Conference, CONFENIS 2019, Proceedings (pp. 55-64). (Lecture Notes in Business Information Processing; Vol. 375). Springer. https://doi.org/10.1007/978-3-030-37632-1_5

Raitoharju, J., & Meissner, K. (2019). On Confidences and Their Use in (Semi-)Automatic Multi-Image Taxa Identification. In 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019 (pp. 1338-1343). [9002975] IEEE. https://doi.org/10.1109/SSCI44817.2019.9002975

Räsänen, O., Seshadri, S., Karadayi, J., Riebling, E., Bunce, J., Cristia, A., ... Soderstrom, M. (2019). Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech. Speech Communication, 113, 63-80. https://doi.org/10.1016/j.specom.2019.08.005

Raunio, J-P., & Ritala, R. (2018). Active scanner control on paper machines. Journal of Process Control, 72, 74-90. https://doi.org/10.1016/j.jprocont.2018.09.012

Rodrigues, P. C., & de Carvalho, M. (2013). Spectral modeling of time series with missing data. Applied Mathematical Modelling, 37(7), 4676-4684. https://doi.org/10.1016/j.apm.2012.09.040

Rubel, O., Lukin, V., & Egiazarian, K. (2016). On prediction of DCT-based denoising efficiency under spatially correlated noise conditions. In 2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET) (pp. 750-754). IEEE. https://doi.org/10.1109/TCSET.2016.7452171

Ruohonen, J., Hyrynsalmi, S., & Leppänen, V. (2016). Software vulnerability life cycles and the age of software products: An empirical assertion with operating system products. In Advanced Information Systems Engineering Workshops - CAiSE 2016 International Workshops, Proceedings (pp. 207-218). (Lecture Notes in Business Information Processing; Vol. 249). Springer Verlag. https://doi.org/10.1007/978-3-319-39564-7-20

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

Safdari, H., Cherstvy, A. G., Chechkin, A. V., Thiel, F., Sokolov, I. M., & Metzler, R. (2015). Quantifying the non-ergodicity of scaled Brownian motion. Journal of Physics A: Mathematical and Theoretical, 48(37), [375002]. https://doi.org/10.1088/1751-8113/48/37/375002

Saintsing, C. D., Cook, B. S., & Tentzeris, M. M. (2014). An origami inspired reconfigurable spiral antenna. In 38th Mechanisms and Robotics Conference (Vol. 5B). The American Society of Mechanical Engineers ASME. https://doi.org/10.1115/DETC201435353

Salo, M., Pirkkalainen, H., & Koskelainen, T. (2017). Technostress and social networking services: Uncovering strains and their underlying stressors. In Nordic Contributions in IS Research - 8th Scandinavian Conference on Information Systems, SCIS 2017, Proceedings (pp. 41-53). (Lecture Notes in Business Information Processing; Vol. 294). Springer Verlag. https://doi.org/10.1007/978-3-319-64695-4_4

Samuylov, A., Moltchanov, D., Gaidamaka, Y., Begishev, V., Kovalchukov, R., Abaev, P., & Shorgin, S. (2016). Sir analysis in square-shaped indoor premises. In Proceedings - 30th European Conference on Modelling and Simulation, ECMS 2016 (pp. 692-697). EUROPEAN COUNCIL FOR MODELLING AND SIMULATION. https://doi.org/10.7148/2016-0692

Sandev, T., Iomin, A., Kantz, H., Metzler, R., & Chechkin, A. (2016). Comb Model with Slow and Ultraslow Diffusion. Mathematical Modelling of Natural Phenomena, 11(3), 18-33. https://doi.org/10.1051/mmnp/201611302

Sane, N., Kee, H., Seetharaman, G., & Bhattacharyya, S. S. (2011). Topological patterns for scalable representation and analysis of dataflow graphs. Journal of Signal Processing Systems, 65(2), 229-244. https://doi.org/10.1007/s11265-011-0610-1

Still, K., Seppänen, M., Korhonen, H., Valkokari, K., Suominen, A., & Kumpulainen, M. (2017). Business Model Innovation of Startups Developing Multisided Digital Platforms. In Proceedings - 2017 IEEE 19th Conference on Business Informatics, CBI 2017 (pp. 70-75). IEEE. https://doi.org/10.1109/CBI.2017.86

Stockrahm, A., Lahtinen, V., Kangas, J. J. J., & Kotiuga, P. R. (Accepted/In press). 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

Suominen, A., Hyrynsalmi, S., & Seppänen, M. (2016). Ecosystems Here, There, and Everywhere — A Barometrical Analysis of the Roots of ‘Software Ecosystem’. In Software Business: 7th International Conference, ICSOB 2016, Ljubljana, Slovenia, June 13-14, 2016, Proceedings (pp. 32-46). (Lecture Notes in Business Information Processing; Vol. 240). Springer Verlag. https://doi.org/10.1007/978-3-319-40515-5_3

Suonsyrjä, S. (2017). Eeny, Meeny, Miny, Mo…: A multiple case study on selecting a technique for user-interaction data collecting. In Agile Processes in Software Engineering and Extreme Programming - 18th International Conference, XP 2017, Proceedings (pp. 52-67). (Lecture Notes in Business Information Processing; Vol. 283). Springer Verlag. https://doi.org/10.1007/978-3-319-57633-6_4

Symonds, P., Taylor, J., Chalabi, Z., Mavrogianni, A., Davies, M., Hamilton, I., ... Macintyre, H. (2016). Development of an England-wide indoor overheating and air pollution model using artificial neural networks. JOURNAL OF BUILDING PERFORMANCE SIMULATION, 9(6), 606-619. https://doi.org/10.1080/19401493.2016.1166265

Taibi, D., Lenarduzzi, V., Janes, A., Liukkunen, K., & Ahmad, M. O. (2017). Comparing requirements decomposition within the Scrum, Scrum with Kanban, XP, and Banana development processes. In Agile Processes in Software Engineering and Extreme Programming - 18th International Conference, XP 2017, Proceedings (pp. 68-83). (Lecture Notes in Business Information Processing; Vol. 283). Springer Verlag. https://doi.org/10.1007/978-3-319-57633-6_5

Taibi, D., Janes, A., & Lenarduzzi, V. (2016). Towards a lean approach to reduce code smells injection: An empirical study. In Agile Processes in Software Engineering and Extreme Programming - 17th International Conference, XP 2016, Proceedings (Lecture Notes in Business Information Processing; Vol. 251). Springer Verlag. https://doi.org/10.1007/978-3-319-33515-5_30

Taivalsaari, A., Mikkonen, T., Pautasso, C., & Systä, K. (2019). Client-Side Cornucopia: Comparing the Built-In Application Architecture Models in the Web Browser. In M. J. Escalona, F. Domínguez Mayo, T. A. Majchrzak, & V. Monfort (Eds.), Web Information Systems and Technologies - 14th International Conference, WEBIST 2018, Revised Selected Papers (pp. 1-24). (Lecture Notes in Business Information Processing; Vol. 372). Springer. https://doi.org/10.1007/978-3-030-35330-8_1

Takalo, R., Hytti, H., Ihalainen, H., & Sohlberg, A. (2015). Adaptive autoregressive model for reduction of noise in SPECT. Computational and Mathematical Methods in Medicine, 2015, [494691]. https://doi.org/10.1155/2015/494691

Tauriainen, M., Puttonen, J., Saari, A., Laakso, P., & Forsblom, K. (2015). The assessment of constructability: BIM cases. In eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 10th European Conference on Product and Process Modelling, ECPPM 2014 (pp. 55-61). CRC Press/Balkema.

Tauriainen, M., Mero, A. K., Lemström, A., Puttonen, J., & Saari, A. (2012). The development of constructability using BIM as an intensifying technology. In eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the European Conference on Product and Process Modelling 2012, ECPPM 2012 (pp. 713-716)

Taylor, J., Biddulph, P., Davies, M., Ridley, I., Mavrogianni, A., Oikonomou, E., & Lai, K. M. (2013). Using building simulation to model the drying of flooded building archetypes. JOURNAL OF BUILDING PERFORMANCE SIMULATION, 6(2), 119-140. https://doi.org/10.1080/19401493.2012.703243

Thanisch, P., Niemi, T., Niinimaki, M., & Nummenmaa, J. (2011). Using the entity-attribute-value model for olap cube construction. In Perspectives in Business Informatics Research - 10th International Conference, BIR 2011, Proceedings (Vol. 90 LNBIP, pp. 59-72). (Lecture Notes in Business Information Processing; Vol. 90 LNBIP). Springer Verlag. https://doi.org/10.1007/978-3-642-24511-4_5

Tokola, H., Niemi, E., & Väistö, V. (2016). Lean manufacturing methods in simulation literature: Review and association analysis. In 2015 Winter Simulation Conference (WSC) (pp. 2239-2248) https://doi.org/10.1109/WSC.2015.7408336

Ugalde-Loo, C. E., Acha, E., & Licéaga-Castro, E. (2018). Analysis of the damping characteristics of two power electronics-based devices using ‘individual channel analysis and design’. Applied Mathematical Modelling, 59, 527-545. https://doi.org/10.1016/j.apm.2018.02.008

Uusitalo, T., Virtanen, H., & Dumitrescu, M. (2016). Transverse structure optimization of laterally-coupled ridge waveguide DFB lasers. In 16th International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2016 (pp. 79-80). [7547038] IEEE. https://doi.org/10.1109/NUSOD.2016.7547038

Virtanen, H., Uusitalo, T., & Dumitrescu, M. (2016). Simulation studies of DFB laser longitudinal structures for narrow linewidth emission. In 16th International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2016 (pp. 153-154). IEEE. https://doi.org/10.1109/NUSOD.2016.7547078

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

Wang, L. H., Shen, C. C., Wu, S., & Bhattacharyya, S. S. (2013). Parameterized scheduling of topological patterns in signal processing dataflow graphs. Journal of Signal Processing Systems, 71(3), 275-286. https://doi.org/10.1007/s11265-012-0719-x

Wu, D., Coatanea, E., & Wang, G. G. (2017). Dimension reduction and decomposition using causal graph and qualitative analysis for aircraft concept design optimization. In 43rd Design Automation Conference The American Society of Mechanical Engineers ASME. https://doi.org/10.1115/DETC201767601

Wu, J., Blattner, T., Keyrouz, W., & Bhattacharyya, S. S. (2018). Model-Based Dynamic Scheduling for Multicore Signal Processing. Journal of Signal Processing Systems, 1-14. https://doi.org/10.1007/s11265-018-1412-5

Yli-Kaakinen, J., & Renfors, M. (2016). Optimization of Flexible Filter Banks Based on Fast Convolution. Journal of Signal Processing Systems, 85(1), 101-111. https://doi.org/10.1007/s11265-015-1004-6

Ylinen, A., Mäkinen, J., & Kouhia, R. (2016). Two models for hydraulic cylinders in flexible multibody simulations. In Computational Methods for Solids and Fluids: Multiscale Analysis, Probability Aspects and Model Reduction (pp. 463-493). (Computational Methods in Applied Sciences; Vol. 41). Springer. https://doi.org/10.1007/978-3-319-27996-1_17

Yoo, S. K., Cotton, S. L., Sofotasios, P. C., Matthaiou, M., Valkama, M., & Karagiannidis, G. K. (2017). The Fisher-Snedecor F Distribution: A Simple and Accurate Composite Fading Model. IEEE Communications Letters, 21(7), 1661-1664. https://doi.org/10.1109/LCOMM.2017.2687438

Yoo, S. K., Cotton, S. L., Sofotasios, P. C., Muhaidat, S., Badarneh, O. S., & Karagiannidis, G. K. (2019). Energy Detection-Based Spectrum Sensing over Fisher-Snedecor F Fading Channels. In 2018 IEEE Global Communications Conference [8647778] IEEE. https://doi.org/10.1109/GLOCOM.2018.8647778

Yrjönkoski, K., Helander, N., & Jaakkola, H. (2016). To network or not to network? Analysis of the Finnish software industry-A networking approach. In Software Business: 7th International Conference, ICSOB 2016, Ljubljana, Slovenia, June 13-14, 2016, Proceedings (pp. 124-134). (Lecture Notes in Business Information Processing; Vol. 240). Springer Verlag. https://doi.org/10.1007/978-3-319-40515-5_9

Zaki, G. F., Plishker, W., Bhattacharyya, S. S., Clancy, C., & Kuykendall, J. (2013). Integration of dataflow-based heterogeneous multiprocessor scheduling techniques in GNU radio. Journal of Signal Processing Systems, 70(2), 177-191. https://doi.org/10.1007/s11265-012-0696-0