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D-Index & Metrics

Computer Science

D-Index
45
Citations
11944
World Ranking
7052
National Ranking
155

Overview

Eric Gaussier is affiliated with Grenoble Alpes University in France, contributing to the field of Computer Science with a focus on Artificial Intelligence and related subfields. Their research output includes work in Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics, and Management Science and Operations Research.

The scientist's work encompasses several main topics including:

  • Topic Modeling
  • Bayesian Modeling and Causal Inference
  • Natural Language Processing Techniques
  • Text and Document Classification Technologies
  • Rough Sets and Fuzzy Logic
  • Time Series Analysis and Forecasting
  • Advanced Graph Neural Networks

Among recent publications by Eric Gaussier are the following papers:

  • Survey and Evaluation of Causal Discovery Methods for Time Series, 2022, Journal of Artificial Intelligence Research
  • Deep k-Means: Jointly clustering with k-Means and learning representations, 2020, Pattern Recognition Letters
  • Heavy-tailed Representations, Text Polarity Classification & Data Augmentation, 2020, arXiv (Cornell University)
  • The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval, 2022, ACM Transactions on Information Systems
  • Entropy-Based Discovery of Summary Causal Graphs in Time Series, 2022, Entropy

Eric Gaussier frequently collaborates with other researchers. The most frequent co-authors include:

  • Émilie Devijver
  • Karim ASSAAD
  • Minghan Li
  • Diana Nicoleta Popa
  • Thibaut Thonet

Their work is often published in venues such as:

  • Harvard Dataverse
  • arXiv (Cornell University)
  • Entropy
  • Natural Language Engineering
  • HAL (Le Centre pour la Communication Scientifique Directe)

Best Publications

  • A probabilistic interpretation of precision, recall and F -score, with implication for evaluation

    Cyril Goutte;Eric Gaussier

  • Complex embeddings for simple link prediction

    Théo Trouillon;Johannes Welbl;Sebastian Riedel;Éric Gaussier

  • An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

    George Tsatsaronis;Georgios Balikas;Prodromos Malakasiotis;Ioannis Partalas

  • Relation between PLSA and NMF and implications

    Eric Gaussier;Cyril Goutte

  • Word sequence kernels

    Nicola Cancedda;Eric Gaussier;Cyril Goutte;Jean Michel Renders

  • Towards automatic extraction of monolingual and bilingual terminology

    Béatrice Daille;Éric Gaussier;Jean-Marc Langé

  • Deep k-Means: Jointly clustering with k-Means and learning representations

    Maziar Moradi Fard;Thibaut Thonet;Eric Gaussier

  • Grouping words with equivalent substrings by automatic clustering based on suffix relationships

    Eric Gaussier;Gregory Grefenstette;Jean-Pierre Chanod

  • Knowledge graph completion via complex tensor factorization

    Théo Trouillon;Christopher R. Dance;Éric Gaussier;Johannes Welbl

  • Apparatus and method for information retrieval

    Claude Roux;Denys Proux;Eric Gaussier

  • LSHTC: A Benchmark for Large-Scale Text Classification.

    Ioannis Partalas;Aris Kosmopoulos;Nicolas Baskiotis;Thierry Artières

  • Evaluation measures for hierarchical classification: a unified view and novel approaches

    Aris Kosmopoulos;Ioannis Partalas;Eric Gaussier;Georgios Paliouras

  • Information-based models for ad hoc IR

    Stéphane Clinchant;Eric Gaussier

  • A Geometric View on Bilingual Lexicon Extraction from Comparable Corpora

    Eric Gaussier;J.M. Renders;I. Matveeva;C. Goutte

  • Unsupervised learning of derivational morphology from inflectional lexicons

    Eric Gaussier

  • Method for aligning sentences at the word level enforcing selective contiguity constraints

    Madalina Barbaiani;Nicola Cancedda;Christopher R. Dance;Szilard Zsolt Fazekas

  • An approach based on multilingual thesauri and model combination for bilingual lexicon extraction

    Hervé Déjean;Éric Gaussier;Fatia Sadat

  • Adaptive spam message detector

    Cyril Goutte;Pierre Isabelle;Eric Gaussier;Stephen Kruger

  • Improving backfilling by using machine learning to predict running times

    Eric Gaussier;David Glesser;Valentin Reis;Denis Trystram

  • Improving Corpus Comparability for Bilingual Lexicon Extraction from Comparable Corpora

    Bo Li;Eric Gaussier

  • Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing

    Dan Jurafsky;Eric Gaussier

  • Knowledge Graph Completion via Complex Tensor Factorization

    Théo Trouillon;Christopher R. Dance;Johannes Welbl;Sebastian Riedel

Frequent Co-Authors

Cyril Goutte
Cyril Goutte National Research Council Canada
Gregory Grefenstette
Gregory Grefenstette Florida Institute for Human and Machine Cognition
Ion Androutsopoulos
Ion Androutsopoulos Athens University of Economics and Business
Patrick Gallinari
Patrick Gallinari Sorbonne University
Francine R. Chen
Francine R. Chen FX Palo Alto Laboratory
Sebastian Riedel
Sebastian Riedel University College London
Sihem Amer-Yahia
Sihem Amer-Yahia Grenoble Alpes University
Axel-Cyrille Ngonga Ngomo
Axel-Cyrille Ngonga Ngomo University of Paderborn
Georgios Paliouras
Georgios Paliouras National Centre of Scientific Research Demokritos
George Tsatsaronis
George Tsatsaronis Technical University of Berlin

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