Publications

Clathrate Hydrates of Natural Gases

Hydrate research has expanded substantially over the past decade, resulting in more than 4,000 hydrate-related publications. Collating this vast amount of information into one s...

EMBOSS: The European Molecular Biology Open Software Suite

Novel methods improve prediction of species’ distributions from occurrence data

Prediction of species’ distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occ...

ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R

Abstract Summary After more than fifteen years of existence, the R package ape has continuously grown its contents, and has been used by a growing community of users. The releas...

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

International audience

Transformers: State-of-the-Art Natural Language Processing

Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patr...

Homo Sacer

One of Italy's most original philosophers aims to connect the problem of pure possibility, potentiality, and power with the problem of political and social ethics in a context w...

The IntCal20 Northern Hemisphere Radiocarbon Age Calibration Curve (0–55 cal kBP)

ABSTRACT Radiocarbon ( 14 C) ages cannot provide absolutely dated chronologies for archaeological or paleoenvironmental studies directly but must be converted to calendar age eq...

The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

Abstract Much of the complexity within cells arises from functional and regulatory interactions among proteins. The core of these interactions is increasingly known, but novel i...

Improving neural networks by preventing co-adaptation of feature detectors

When a large feedforward neural network is trained on a small training set, it typically performs poorly on held-out test data. This "overfitting" is greatly reduced by randomly...

A Design Framework for Instrumenting Analytic Provenance for Problem-Solving Tasks

The online version contains supplementary material available at 10.1007/s11033-025-11160-4.

Dual Attention Network for Scene Segmentation

In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the self-attention mechanism. Unlike previous works that capture context...