Search Results for author: Cristian Grozea

Found 12 papers, 2 papers with code

Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets

no code implementations WS 2018 Mariana Neves, Antonio Jimeno Yepes, Aur{\'e}lie N{\'e}v{\'e}ol, Cristian Grozea, Amy Siu, Madeleine Kittner, Karin Verspoor

Machine translation enables the automatic translation of textual documents between languages and can facilitate access to information only available in a given language for non-speakers of this language, e. g. research results presented in scientific publications.

Machine Translation Translation

Subject independent EEG-based BCI decoding

no code implementations NeurIPS 2009 Siamac Fazli, Cristian Grozea, Marton Danoczy, Benjamin Blankertz, Florin Popescu, Klaus-Robert Müller

In the quest to make Brain Computer Interfacing (BCI) more usable, dry electrodes have emerged that get rid of the initial 30 minutes required for placing an electrode cap.

EEG Electroencephalogram (EEG)

System Description: The Submission of FOKUS to the WMT 19 Robustness Task

no code implementations WS 2019 Cristian Grozea

This paper describes the systems of Fraunhofer FOKUS for the WMT 2019 machine translation robustness task.

Machine Translation Translation

Solving the Extended Job Shop Scheduling Problem with AGVs -- Classical and Quantum Approaches

no code implementations10 Sep 2021 Marc Geitz, Cristian Grozea, Wolfgang Steigerwald, Robin Stöhr, Armin Wolf

The subject of Job Scheduling Optimisation (JSO) deals with the scheduling of jobs in an organization, so that the single working steps are optimally organized regarding the postulated targets.

Job Shop Scheduling Scheduling

Optimising Rolling Stock Planning including Maintenance with Constraint Programming and Quantum Annealing

no code implementations15 Sep 2021 Patricia Bickert, Cristian Grozea, Ronny Hans, Matthias Koch, Christina Riehn, Armin Wolf

We propose and compare Constraint Programming (CP) and Quantum Annealing (QA) approaches for rolling stock assignment optimisation considering necessary maintenance tasks.

Automatic Conversion of MiniZinc Programs to QUBO

no code implementations19 Jul 2023 Armin Wolf, Cristian Grozea

Obtaining Quadratic Unconstrained Binary Optimisation models for various optimisation problems, in order to solve those on physical quantum computers (such as the the DWave annealers) is nowadays a lengthy and tedious process that requires one to remodel all problem variables as binary variables and squeeze the target function and the constraints into a single quadratic polynomial into these new variables.

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