Detecting ongoing events using contextual word and sentence embeddings von Maisonnave, Mariano, Delbianco, Fernando, Tohmé, Fernando, Maguitman, Ana, Milios, Evangelos

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Combinators as presheaves von Gangle, Rocco, Tohmé, Fernando, Caterina, Gianluca

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Judgement aggregation in multi-agent argumentation von Awad, Edmond, Booth, Richard, Tohmé, Fernando, Rahwan, Iyad

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Learning causality structures from electricity demand data von Maisonnave, Mariano, Delbianco, Fernando, Tohmé, Fernando, Milios, Evangelos, Maguitman, Ana

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Industry 4.0: Smart Scheduling von Rossit, Daniel Alejandro, Tohmé, Fernando, Frutos, Mariano

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Causal graph extraction from news: a comparative study of time-series causality learning techniques von Maisonnave, Mariano, Delbianco, Fernando, Tohme, Fernando, Milios, Evangelos, Maguitman, Ana G

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Fuzzy group identification problems von Fioravanti, Federico, Tohmé, Fernando

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The Non-Permutation Flow-Shop scheduling problem: A literature review von Rossit, Daniel Alejandro, Tohmé, Fernando, Frutos, Mariano

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A Decision Support Tool for Urban Freight Transport Planning Based on a Multi-Objective Evolutionary Algorithm von Miguel, Fabio, Frutos, Mariano, Tohme, Fernando, Babey, Maximo Mendez

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Superrational types von Tohmé, Fernando A, Viglizzo, Ignacio D

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The scope of provability von Peralta, Esteban, Tohmé, Fernando

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knowledge representation in Industry 4.0 scheduling problems von Rossit, Daniel A., Tohmé, Fernando

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An Industry 4.0 approach to assembly line resequencing von Rossit, Daniel Alejandro, Tohmé, Fernando, Frutos, Mariano

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Tampering with inflation data: A Benford law-based analysis of national statistics in Argentina von Miranda-Zanetti, Maximilano, Delbianco, Fernando, Tohmé, Fernando

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Production planning and scheduling in Cyber-Physical Production Systems: a review von Rossit, Daniel Alejandro, Tohmé, Fernando, Frutos, Mariano

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Alternative Axioms in Group Identification Problems von Fioravanti, Federico, Tohmé, Fernando

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Beyond admissibility: accepting cycles in argumentation with game protocols for cogency criteria von Bodanza, Gustavo A., Tohmé, Fernando A., Simari, Guillermo R.

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Mass customized/personalized manufacturing in Industry 4.0 and blockchain: Research challenges, main problems, and the design of an information architecture von Espinoza Pérez, Andrea Teresa, Rossit, Daniel Alejandro, Tohmé, Fernando, Vásquez, Óscar C.

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A category theory approach to the semiotics of machine learning von Tohmé, Fernando, Gangle, Rocco, Caterina, Gianluca

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A data-driven scheduling approach to smart manufacturing von Rossit, Daniel Alejandro, Tohmé, Fernando, Frutos, Mariano

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