Layout Inference and Table Detection in Spreadsheet Documents
Layout Inference and Table Detection in Spreadsheet Documents Dissertation submitted April 20, 2020 by M.Sc. Elvis Koci born May 09, 1987 in Sarande, Albania at Technische Universität Dresden and Universitat Politècnica de Catalunya Supervisors: Prof. Dr.-Ing. Wolfgang Lehner Assoc. Prof. Dr. Oscar Romero IT BI D C 2 THESIS DETAILS Thesis Title: Layout Inference and Table Detection in Spreadsheet Documents Ph.D. Student: Elvis Koci Supervisors: Prof. Dr.-Ing. Wolfgang Lehner, Technische Universität Dresden Assoc. Prof. Dr. Oscar Romero, Universitat Politècnica de Catalunya The main body of this thesis consists of the following peer-reviewed publications: 1. Elvis Koci, Maik Thiele, Oscar Romero, and Wolfgang Lehner. A machine learning approach for layout inference in spreadsheets. In IC3K 2016: The 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Man- agement: volume 1: KDIR, pages 77–88. SciTePress, 2016 2. Elvis Koci, Maik Thiele, Oscar Romero, and Wolfgang Lehner. Cell classification for layout recognition in spreadsheets. In Ana Fred, Jan Dietz, David Aveiro, Kecheng Liu, Jorge Bernardino, and Joaquim Filipe, editors, Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K ‘16: Revised Selected Papers), volume 914 of Communications in Computer and Information Science, pages 78–100. Springer, Cham, 2019 3. Elvis Koci, Maik Thiele, Oscar Romero, and Wolfgang Lehner. Table identification and reconstruction in spreadsheets. In the International Conference on Advanced Infor- mation Systems Engineering (CAiSE), pages 527–541. Springer, 2017 4. Elvis Koci, Maik Thiele, Wolfgang Lehner, and Oscar Romero. Table recognition in spreadsheets via a graph representation. In the 13th IAPR International Workshop on Document Analysis Systems (DAS), pages 139–144.
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