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Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling.

T. Xu, J. Pohjankukka, P. Nevalainen, V. Leppänen, and T. Pahikkala. ICSOFT-EA, page 443-449. SciTePress, (2015)

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Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode.P. Nevalainen, I. Jambor, J. Pohjankukka, J. Heikkonen, and T. Pahikkala. ICPRAM, page 684-692. SciTePress, (2017)Predicting Water Permeability of the Soil Based on Open Data.J. Pohjankukka, P. Nevalainen, T. Pahikkala, E. Hyvönen, P. Hänninen, R. Sutinen, J. Ala-Ilomäki, and J. Heikkonen. AIAI, volume 436 of IFIP Advances in Information and Communication Technology, page 436-446. Springer, (2014)Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling.T. Xu, J. Pohjankukka, P. Nevalainen, V. Leppänen, and T. Pahikkala. ICSOFT-EA, page 443-449. SciTePress, (2015)Analysing and Modelling the On-Chip Traffic of Parallel Applications.T. Xu, J. Pohjankukka, and V. Leppänen. SEAA, page 275-282. IEEE Computer Society, (2016)Real-Time Swimmer Tracking on Sparse Camera Array.P. Nevalainen, M. Haghbayan, A. Kauhanen, J. Pohjankukka, M. Laakso, and J. Heikkonen. ICPRAM (Revised Selected Papers), volume 10163 of Lecture Notes in Computer Science, page 156-174. (2016)The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers.A. Airola, J. Pohjankukka, J. Torppa, M. Middleton, V. Nykänen, J. Heikkonen, and T. Pahikkala. Data Min. Knowl. Discov., 33 (3): 730-747 (2019)Utilizing remote sensing data in forest inventory sampling via Bayesian optimization.J. Pohjankukka, S. Tuominen, and J. Heikkonen. CoRR, (2020)Estimating the prediction performance of spatial models via spatial k-fold cross validation.J. Pohjankukka, T. Pahikkala, P. Nevalainen, and J. Heikkonen. Int. J. Geogr. Inf. Sci., 31 (10): 2001-2019 (2017)Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data.J. Pohjankukka, P. Nevalainen, T. Pahikkala, P. Hänninen, E. Hyvönen, R. Sutinen, and J. Heikkonen. ICPR, page 1822-1827. IEEE Computer Society, (2014)Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland.F. Farahnakian, L. Zelioli, T. Pitkänen, J. Pohjankukka, M. Middleton, S. Tuominen, P. Nevalainen, and J. Heikkonen. FUSION, page 1-8. IEEE, (2023)

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Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling.

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Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling.