What's happening in the European labs
: Toulouse, France 8-11 September 2015
, Gabriela Csurka
and Stephane Clinchant
: Evaluating Stacked Marginalised Denoising Autoencoders within Domain Adaptation Methods
: Scott Nowson
, Julien Perez
, Caroline Brun
, Shachar Mirkin, Claude Roux
: XRCE Personal Language Analytics Engine for Multilingual Author Profiling
: 9-11 September 2015, Manchester, UK
, Simon Waddington and Jean-Yves Vion-Dury
: On the Preservation of Evolving Digital Content – The Continuum Approach and Relevant Metadata Models.
conference will be held in Futuroscope/Poitiers in France
, September 8-11, 2015.
: Designing for Inconsistency – The Dependency-based PERICLES Approach
Nancy, France - August 23-26, 2015
: Extracting Structured Data from Unstructured Documents with Incomplete Resources
: 7 - 10 September, Swansea, UK.
and Florent Perronnin: Deep Fishing: Gradient Features from Deep Nets
, Eleonora Vig
: Online domain adaptation for multi-object tracking
21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
, Xerox Research Centre Europe and Matias Tealdi, Universidad Nacional de Cordoba, Reconstructing Textual Documents from n-grams
---THIS PAPER WON THE BEST PAPER AWARD----
and Jean-Yves Vion-Dury
, Semantic Version Management based on Formal Certification
ICSOFT 2015 web site
International Institute for Ethnomethodology and Conversation Analysis - IIEMCA
Thursday August 6th, Panel 'Living the Material World'.
'Workers* material understandings and experiences of globalised digital work.'
Conference on Computational Natural Language Learning, CoNLL,
is organised by ACL Special Interest Group on Natural Language Learning (SIGNLL
Majid Yazdani and James Henderson
presenting 'Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training
Miguel Ballesteros and Xavier Carreras
presenting 'Transition-based Spinal Parsing
Xerox Blogs: Simplify Work article: Taking Bias out of Big Data
and Will Radford
, Xerox data scientists at the Xerox Research Centre Europe, are exploring data’s intersection with social science. The goal of this research is to teach computers how the world works – to create algorithms that recognize human biases.
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