Publications associées à Informatique décisionnelle

End-to-End Task-Oriented Dialog Modeling With Semi-Structured Knowledge Management

Current task-oriented dialog (TOD) systems mostly manage structured knowledge (e.g. databases and tables) to guide the goal-oriented conversations. However, they fall short of handling dialogs which also involve unstructured knowledge (e.g. reviews and doc ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

ECCE: Entity-centric Corpus Exploration Using Contextual Implicit Networks

Maud Ehrmann, Matteo Romanello, Andreas Oliver Spitz

In the Digital Age, the analysis and exploration of unstructured document collections is of central importance to members of investigative professions, whether they might be scholars, journalists, paralegals, or analysts. In many of their domains, entities ...

ACM Digital Press2022

An Integrated Approach to Learning Analytics

Denis Gillet, Juan Carlos Farah, Sandy Ingram

Despite the rise in services generating learning analytics, there is a lack of standard models and guidelines for data integration and aggregation to inform the design choices of applications supporting learning analytics. We propose a bottom-up, user-driv ...

2021

Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network

Silvestro Micera

Loss of stability is a precursor to falling and therefore represents a leading cause of injury, especially in fragile people. Thus, dynamic stability during activities of daily living (ADLs) needs to be considered to assess balance control and fall risk. T ...

2019

Analytics for learning design: A layered framework and tools

Maria Jesus Rodriguez Triana

The field of learning design studies how to support teachers in devising suitable activities for their students to learn. The field of learning analytics explores how data about students' interactions can be used to increase the understanding of learning e ...

2019

Awareness Towards Industry 4.0: Key Enablers and Applications for Internet of Things and Big Data

Christopher Tucci, Myrna Fatima Flores Pineda

The fourth Industrial revolution promises to increase productivity, flexibility and automation of internal business processes integrating value chains and supporting companies to design and offer novel services based on the availability of data enabled by ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

Inequality in energy and climate policies: Assessing distributional impact consideration in UK policy appraisal

Michel Zimmermann

The decarbonisation of the UK economy requires a myriad of policies that inherently produce winners and loser across society. This study investigates how such distributional impacts are considered in the appraisal process for UK energy and climate policies ...

2018

Advancing climate science with knowledge-discovery through data mining

Athanasios Nenes

Global climate change represents one of the greatest challenges facing society and ecosystems today. It impacts key aspects of everyday life and disrupts ecosystem integrity and function. The exponential growth of climate data combined with Knowledge-Disco ...

2018

Squall: Scalable Real-time Analytics using Efficient, Skew-resilient Join Operators

Aleksandar Vitorovic

Squall is a scalable online query engine that runs complex analytics in a cluster using skew-resilient, adaptive operators. Online processing implies that results are incrementally built as the input arrives, and it is ubiquitous for many applications such ...

EPFL2023

Agile in-litero experiments : how can semi-automated information extraction from neuroscientific literature help neuroscience model building?

Renaud Luc Richardet

In neuroscience, as in many other scientific domains, the primary form of knowledge dissemination is through published articles in peer-reviewed journals. One challenge for modern neuroinformatics is to design methods to make the knowledge from the tremend ...

EPFL2016

Agile text mining with Sherlok

Jean-Cédric Chappelier, Sean Lewis Hill, Renaud Luc Richardet

The successful development of an intelligent text mining application requires the collaboration of two main stakeholders: subject matter experts and text miners. In this paper, we describe a new methodology, agile text mining to improve that collaboration. ...

IEEE2015

Analytical modeling of mixed-Mode bending behavior of asymmetric adhesively bonded pultruded GFRP joints

Anastasios Vassilopoulos, Moslem Shahverdi

This paper presents a semi-analytical methodology for the fracture mechanics assessment of asymmetric adhesively bonded composite joints. The method is based on the classical lamination theory, the simple beam theory and the extended global method. Experim ...

Elsevier2015

Towards Ontology-based Context Modeling for Manufacturing Applications

Drazen Nadoveza

Relevant and readily available information is a crucial basis for decision making, problem solving or performing knowledge-intensive work. The motivation for this thesis lays in the fact that in certain situations not all information provided by an applica ...

EPFL2014

Learning Analytics Dashboard Applications

Sten Govaerts

This article introduces learning analytics dashboards that visualize learning traces for learners and teachers. We present a conceptual framework that helps to analyze learning analytics applications for these kinds of users. We then present our own work i ...

Sage Publications Inc2013

Regulatory Uncertainty and Nonmarket Capabilities : An Investigation of the Electricity Generation Sector

Bastian Wolfgang Schwark

In 2005, the Economist Intelligence Unit conducted a survey with Chief Risk Officers worldwide across all industries and asked about the biggest threat to their businesses. Interestingly, regulatory risk ranked first. It dominated all other types of risk, ...

EPFL2011

Effective Metadata Management in Federated Sensor Networks

Karl Aberer, Michael Lehning, Sofiane Sarni, Saket Sathe, Ho Young Jeung, Ioannis Paparrizos

As the Sensor Internet starts to become reality, increasingly heterogeneous sensor networks are becoming interconnected into federated sensor networks and provide huge volumes of sensor data for a variety of applications to large user communities, such as ...

2010

PicShark: Mitigating Metadata Scarcity Through Large-Scale P2P Collaboration

Karl Aberer, Manfred Hauswirth, Philippe Cudré-Mauroux, Adriana Budura

With the commoditization of digital devices, personal information and media sharing is becoming a key application on the pervasive Web. In such a context, data annotation rather than data production is the main bottleneck. Metadata scarcity represents a ma ...

2008

Emergent semantics : rethinking interoperability for large scale decentralized information systems

Philippe Cudré-Mauroux

In the past, the problem of semantic interoperability in information systems was mostly solved by means of centralization, both at a system and at a logical level. This approach has been successful to a certain extent, but offers limited scalability and fl ...

EPFL2007

Interactive semantic fisheye views for information workspaces

Frank Paul Janecek

In this thesis, we investigate the effectiveness of semantic fisheye views for opportunistic search and sensemaking tasks over large collections of annotated images. Semantic fisheye views are interactive visualization techniques that reveal semantic detai ...

EPFL2004

Separating Business Process from User Interaction in Web-Based Information Commerce

Karl Aberer, Anwitaman Datta, Zoran Despotovic

In Web-based information commerce it is diffcult to disentangle presentation from process logic, and sometimes even data is not separate from the presentation. Consequently, it becomes crucial to define an abstract model for business processes and their ma ...

2003