Latest articles
Classification of business documents to aid extraction: the use of typed and weighted lexical-semantic relations
I’ve been a member of the Berger-Levrault research team since 2020. I’m working on a CIFRE thesis on methods and models for the automated construction of multi-domain ontology databases, in collaboration with the Montpellier Laboratory of Computer Science, Robotics and Microelectronics (LIRMM). This work was presented at the PFIA (Plate-forme Intelligence Artificielle) 2023 in Strasbourg last July. Legend has it that it all began with the story of BerLo, a
Active learning for intelligent document processing
Data is a key component of decision making. Today, companies deploy complex processes to automate the collection, storage and processing of large amounts of data.
What are Emergent Software Systems about?
Nowadays, due to the constant evolution of the software systems’ operating environment, modern software systems become increasingly complex and larger which makes their management and
BL.Assistant: Towards an Human-AI Teaming Platform
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Towards measuring energy consumption of infrastructure architectural choices of web applications
Reducing our environmental footprint became a priority to save the planet. According to a recent Green IT study, the global environmental footprint of digital technology
BL.OptiMAS: a Multi-Agent System-based model towards resolution of Routing and Scheduling Problem under uncertainties
Home care aims to provide appropriate health services to patients in the comfort of their home. This kind of services must be provided on a
Visualize your codebase with Moose
Developing an application is teamwork. It requires complementary skills to make it run smoothly. Though, bugs happened frequently and it’s not easy to read the
[FR] Discover what are Graph Neural Network (GNN) in comic
RPA to automatically collect contacts over the web
There is no excerpt because this is a protected post.
A Federated Learning Framework for IoT
There are thousands of institutions like hospitals collecting private and sensitive data, which mean they can not be transferred to be used. Though federated learning
BL.Predict, the clairvoyant of maintenance for Le Havre city
Imagine you won the lottery (yes, we all dream about it) and bought Versailles castle. You can not remember if you closed the bathroom tap
32nd ACM International Conference on Information and Knowledge Management (Birmingham – UK)
10th European Conference on Healthcare Engineering (Paris)
IDEAS 2023 – 27th International Database Engineered Applications Symposium (Grèce)
International Conference on Information Visualization for Industrial Process Monitoring (Greece)
On May 6, in the city of Heraklion (Greece), on the occasion of IDEAS 2023, the 27th International Symposium on Database Engineering Applications, Elodie Toufaili
Some benefits of BL.Predict for you… and for us!
Because we are all concerned by the Energy Sobriety Plan and the Decarbonization Strategy, it seemed natural to us to extend the deployment of our
Balancing the satisfaction of stakeholders in home health care coordination: a novel OptaPlanner CSP model
As part of the development of the innovative BL.Optim solution, we questioned the concept of route optimization for home health care coordination. We are pleased
The National Interconnected Forum, an opportunity to move together towards energy sobriety in buildings
The National Interconnected Forum is a two-day event where experts and start-ups will exchange ideas and discuss the challenges facing their territories. This year, join
BL.Predict at Global Industrie 2023
Meet Carl Berger-Levrault at Global Industry 2023, the international meeting place for industrial innovations! Visit us on the AFIM booth, Hall 2 – Maintenance Forum:
Urgency of energy sobriety: our contribution through digital technologies
Urgency of energy sobriety is at the heart of Berger-Levrault’s concerns!So, how do we act ? Thank you all for your commitment: together we will
Guest of honor on the Seminar about exploitation of software traces
Analysing log traces to understand users’ behavior on software User activity traces are a set of structured and time-stamped data, generated directly by a software.
# 3rd place at the ESUG innovation award
BL Research team has participated in the European Smalltalk User Group conference in Serbia from 22.8.2022. to 26.8.2022. About scientific progresses in model driven engineering
