
PASI FRäNTI
Professori
Yhteystiedot
Organisaatio
Luonnontieteiden ja metsätieteiden tiedekunta, Tietojenkäsittelytieteen laitos
Sähköposti
pasi.franti@uef.fi
Puhelin
050 442 2265
Avainsanat
koneoppiminen
kuvien tiivistäminen
paikkatietojärjestelmät
ryhmittelyanalyysi
tekoäly
tiedonlouhinta
Tutkimusryhmät - UEF
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Machine Learning
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Parempi tietopohja ja palvelujen optimointi sosiaali- ja terveydenhuollon palvelurakenneuudistuksen tueksi (IMPRO)
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Vaikuttavuuden talo
Julkaisut
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Fränti, Pasi; Mariescu-Istodor, Radu. 2021. Averaging GPS segments competition 2019 Pattern recognition 112: 107730. 2021
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Sieranoja, Sami; Fränti, Pasi. 2021. Adapting k-means for graph clustering Knowledge and information systems 2022; 64 1: 115-142. 2021
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Image Segmentation by Pairwise Nearest Neighbor Using Mumford-Shah Model. Shah, Nilima; Patel, Dhanesh; Fränti, Pasi / Proceedings of CECNet 2021. 2021. 2021
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Yang, Jiawei; Rahardja, Susanto; Fränti, Pasi. 2021. Mean-shift outlier detection and filtering Pattern recognition 115: 107874. 2021
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WebRank: Language-Independent Extraction of Keywords from Webpages. Shah, Himat; Mariescu-Istodor, Radu; Fränti, Pasi / 2021 IEEE International Conference on Progress in Informatics and Computing (PIC). 2021. 2021
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Using Open Street Map for Content Creation in Location-Based Games. Fazal, Nancy; Mariescu-Istodor, Radu; Franti, Pasi / Proceedings of The 29th Conference of Open Innovations Association FRUCT Tampere, Finland 12-14 May 2021. 2021. 2021
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Zhou, Chengmin; Huang, Bingding; Fränti, Pasi. 2021. A review of motion planning algorithms for intelligent robots Journal of intelligent manufacturing 2022; 33 2: 387-424. 2021
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Shah, Nilima; Patel, Dhanesh; Fränti, Pasi. 2021. k-Means image segmentation using Mumford-Shah model Journal of electronic imaging 30 6: 063029. 2021
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Shah, Nilima; Patel, Dhanesh; Fränti, Pasi. 2021. Fast Mumford-Shah Two-Phase Image Segmentation Using Proximal Splitting Scheme Journal of applied mathematics 2021: 6618505. 2021
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Sengupta, Lahari; Fränti, Pasi. 2021. Comparison of eleven measures for estimating difficulty of open-loop TSP instances Applied computational intelligence and soft computing 1 1: 1-30. 2021