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LARCA - Relational Algorithmics, Complexity and Learning Laboratory
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Home » Research » Research Groups » LARCA - Relational Algorithmics, Complexity and Learning Laboratory
- ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods
- ARCO - Architectures and Compilers
- CAP - High Performace Computing Group
- CBA - Broadband Communications Systems
- CNDS - Computer Networks and Distributed Systems
- DAMA-UPC - Data Management Group
- DCCG - Research group on discrete, combinatorial and computational geometry
- DMAG - Distributed Multimedia Applications Group
- GESSI - Group of Software and Service Engineering
- GIE - Engineering Informatics Group
- GNOM - Group of Numerical Optimization and Modelling
- GPLN - Natural Language Processing Group
- GRBIO - Biostatistics and Bioinformatics Research Group
- GREC - Knowledge Engineering Research Group
- GRINS - Intelligent Robots and Systems
- KEMLG - Knowledge Engineering and Machine Learning Group
- LARCA - Relational Algorithmics, Complexity and Learning Laboratory
- LOGPROG - Logic and Programming
- MD - Discrete Mathematics
- MPI - Information Modelling & Processing
- SIMCON - Computer Simulation in Condensed Matter Research Group
- SOCO - Soft Computing
- SUSHITOS - Services for Ubiquitous Social and Humanistic Information Technologies and Open Source Research Group
- VIS - Vision and Intelligent Systems
- ViRVIG - Visualisation, Virtual Reality and Graphic Interaction Research Group
The Relational Algorithmics, Complexity and Learning Laboratory (LARCA) is formed by members of the Department of Computer Science.
Their goal is to develop practical solutions from sound principles, using modelling tools and techniques from algorithmics, computational complexity, automata theory, logic, discrete mathematics, statistics, and dynamic systems. Principles lines of research are:
- Data mining and machine learning
- Massive data analysis with emphasis on data streams
- Analysis of structured data
- Mathematical linguistics
Website
http://recerca.upc.edu/larca/en
Scientific Production
Take a look at the Website for the scientific production of UPC researchers: futur.upc.eduFUTUR UPC
Descobreix tota la producció Científica dels investigadors de la FIB al portal FUTUR de la UPC
Treballs de fi de grau i màster dels estudiants
Descobreix al portal de coneixement obert de la UPC els projectes duts a terme per estudiants de la FIB
Estudi bibliomètric elaborat per la Biblioteca Gabriel Ferraté
Estudi comparatiu de la publicació científica en l’àmbit de la informàtica a la UPC vs. altres universitats d’àmbit nacional i internacional
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C/Jordi Girona Salgado,1-3
08034 BARCELONA Spain
Tel: (+34) 93 401 70 00
C/Jordi Girona Salgado,1-3
08034 BARCELONA Spain
Tel: (+34) 93 401 70 00
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