Publications

The Nature of Statistical Learning Theory

ImageNet Large Scale Visual Recognition Challenge

The rise of graphene

Diffusion of Innovations 1

Contents Preface CHAPTER 1. ELEMENTS OF DIFFUSION CHAPTER 2. A HISTORY OF DIFFUSION RESEARCH CHAPTER 3. CONTRIBUTIONS AND CRITICISMS OF DIFFUSION RESEARCH CHAPTER 4. THE GENERAT...

Fully convolutional networks for semantic segmentation

Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, ex...

QIIME allows analysis of high-throughput community sequencing data

The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

A 36-item short-form (SF-36) was constructed to survey health status in the Medical Outcomes Study. The SF-36 was designed for use in clinical practice and research, health poli...

Absorptive Capacity: A New Perspective on Learning and Innovation

In this paper, we argue that the ability of a firm to recognize the value of new, external information, assimilate it, and apply it to commercial ends is critical to its innovat...

SciPy 1.0: fundamental algorithms for scientific computing in Python

Glove: Global Vectors for Word Representation

Recent methods for learning vector space representations of words have succeeded in capturing fine-grained semantic and syntactic regularities using vector arithmetic, but the o...

Electrochemical Photolysis of Water at a Semiconductor Electrode

Clinical Characteristics of Coronavirus Disease 2019 in China

BACKGROUND: Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical charac...