Publications related to Document classification

Computing Crowd Consensus with Partial Agreement

Crowdsourcing has been widely established as a means to enable human computation at large-scale, in particular for tasks that require manual labelling of large sets of data items. Answers obtained from heterogeneous crowd workers are aggregated to obtain a ...

2018

Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems

David Atienza Alonso, Amir Aminifar, Dionisije Sopic

A considerable portion of government health-care spending is allocated to the continuous monitoring of patients suffering from cardiovascular diseases, particularly myocardial infarction (MI). Wearable devices present a cost-effective means of monitoring p ...

2018

Taxonomy Induction using Hypernym Subsequences

Karl Aberer, Rémi Philippe Lebret, Hamza Harkous, Amit Gupta

We propose a novel, semi-supervised approach towards domain taxonomy induction from an input vocabulary of seed terms. Unlike all previous approaches, which typically extract direct hypernym edges for terms, our approach utilizes a novel probabilistic fram ...

CIKM2017

Taxonomy Induction Using Hypernym Subsequences

Karl Aberer, Rémi Philippe Lebret, Hamza Harkous, Amit Gupta

We propose a novel, semi-supervised approach towards domain taxonomy induction from an input vocabulary of seed terms. Unlike all previous approaches, which typically extract direct hypernym edges for terms, our approach utilizes a novel probabilistic fram ...

2017

Cross-lingual Transfer for News Article Labeling: Benchmarking Statistical and Neural Models

Andrei Popescu-Belis, Nikolaos Pappas, Khalil Mrini

Cross-lingual transfer has been shown to increase the performance of a text classification model thanks to the use of Multilingual Hierarchical Attention Networks (MHAN), on which this work is based. Firstly, we compared the performance of monolingual and ...

Idiap2017

Argument discovery via crowdsourcing

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

The amount of controversial issues being discussed on the Web has been growing dramatically. In articles, blogs, and wikis, people express their points of view in the form of arguments, i.e., claims that are supported by evidence. Discovery of arguments ha ...

Springer Verlag2017

Measuring Robustness of Classifiers to Geometric Transformations

Can Kanbak

For many classification tasks, the ideal classifier should be invariant to geometric transformations such as changing the view angle. However, this cannot be said decisively for the state-of-the-art image classifiers, such as convolutional neural networks. ...

2017

Solid hydrometeor classification and riming degree estimation from pictures collected with a Multi-Angle Snowflake Camera

Alexis Berne, Christophe Praz

A new method to automatically classify solid hydrometeors based on Multi-Angle Snowflake Camera (MASC) images is presented. For each individual image, the method relies on the calculation of a set of geometric and texture-based descriptors to simultaneousl ...

Copernicus GmbH2017

Object Detection with Active Sample Harvesting

Olivier Canévet

The work presented in this dissertation lies in the domains of image classification, object detection, and machine learning. Whether it is training image classifiers or object detectors, the learning phase consists in finding an optimal boundary between po ...

EPFL2017

Object Detection with Active Sample Harvesting

Olivier Canévet

The work presented in this dissertation lies in the domains of image classification, object detection, and machine learning. Whether it is training image classifiers or object detectors, the learning phase consists in finding an optimal boundary between po ...

École Polytechnique Fédérale de Lausanne2017

Document classification

Computing Crowd Consensus with Partial Agreement

Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems

Taxonomy Induction using Hypernym Subsequences

Taxonomy Induction Using Hypernym Subsequences

Cross-lingual Transfer for News Article Labeling: Benchmarking Statistical and Neural Models

Argument discovery via crowdsourcing

Measuring Robustness of Classifiers to Geometric Transformations

Solid hydrometeor classification and riming degree estimation from pictures collected with a Multi-Angle Snowflake Camera

Object Detection with Active Sample Harvesting

Object Detection with Active Sample Harvesting

Graph Chatbot

Chat with Graph Search

Cross-lingual Transfer for News Article Labeling: Benchmarking Statistical and Neural Models

Object Detection with Active Sample Harvesting

Measuring Robustness of Classifiers to Geometric Transformations

Computing Crowd Consensus with Partial Agreement

Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems

Solid hydrometeor classification and riming degree estimation from pictures collected with a Multi-Angle Snowflake Camera

Object Detection with Active Sample Harvesting

Taxonomy Induction Using Hypernym Subsequences

Taxonomy Induction using Hypernym Subsequences

Argument discovery via crowdsourcing