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Generating the Users Geographic Map Using Mobile Phone Data.

, , , , and . EPIA, volume 13566 of Lecture Notes in Computer Science, page 297-308. Springer, (2022)

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ASAP-II: From the Alignment of Phrases to Textual Similarity., , , and . SemEval@NAACL-HLT, page 184-189. The Association for Computer Linguistics, (2015)POI Mining for Land Use Classification: A Case Study., , and . ISPRS Int. J. Geo Inf., 9 (9): 493 (2020)Identification and Classification of Routine Locations Using Anonymized Mobile Communication Data., , , and . ISPRS Int. J. Geo Inf., 11 (4): 228 (2022)Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data: Analyzing Travel and Behavior during COVID-19., , , and . ISPRS Int. J. Geo Inf., 12 (8): 308 (July 2023)Challenges and Solutions from an Embedded Programming Bootcamp., , , , , , , and . ICPEC, volume 81 of OASIcs, page 2:1-2:11. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)Can Topic Modelling benefit from Word Sense Information?, , , and . LREC, European Language Resources Association (ELRA), (2016)Recognizing Humor in Portuguese: First Steps., , and . EPIA (2), volume 11805 of Lecture Notes in Computer Science, page 744-756. Springer, (2019)Visualizing urban mobility., , , and . SIGGRAPH Posters, page 115. ACM, (2013)Corpora and Baselines for Humour Recognition in Portuguese., , and . LREC, page 1278-1285. European Language Resources Association, (2020)Characterization of Individual Mobility for Non-routine Scenarios from Crowd Sensing and Clustered Data., , , , and . AmI, volume 11912 of Lecture Notes in Computer Science, page 296-310. Springer, (2019)