Luc Lamontagne

Luc Lamontagne

Université Laval

H-index: 19

North America-Canada

About Luc Lamontagne

Luc Lamontagne, With an exceptional h-index of 19 and a recent h-index of 10 (since 2020), a distinguished researcher at Université Laval, specializes in the field of Artificial Intelligence, Case-Based Reasoning, Natural Language processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A representation-learning approach for insurance pricing with images

De la ouananiche (Salmo salar) dans une rivière en milieu agricole près de chez vous: le cas de la Petite rivière Eusèbe au Saguenay–Lac-Saint-Jean

Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation

A case-based reasoning tool to recommend drinking water source protection actions

Preventing RNN from Using Sequence Length as a Feature

Reducing Sequence Length Learning Impacts on Transformer Models

A case-based reasoning system to recommend solutions for source water protection: knowledge acquisition and modelling

Evaluating legal accuracy of neural generators on the generation of criminal court dockets description

Luc Lamontagne Information

University

Position

Professor of Computer Science and Software Engineering

Citations(all)

1206

Citations(since 2020)

481

Cited By

907

hIndex(all)

19

hIndex(since 2020)

10

i10Index(all)

39

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Luc Lamontagne Skills & Research Interests

Artificial Intelligence

Case-Based Reasoning

Natural Language processing

Machine Learning

Top articles of Luc Lamontagne

A representation-learning approach for insurance pricing with images

ASTIN Bulletin: The Journal of the IAA

2024/5

De la ouananiche (Salmo salar) dans une rivière en milieu agricole près de chez vous: le cas de la Petite rivière Eusèbe au Saguenay–Lac-Saint-Jean

Le Naturaliste canadien

2024

Luc Lamontagne
Luc Lamontagne

H-Index: 9

Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation

2023/9

Nicolas Garneau
Nicolas Garneau

H-Index: 2

Luc Lamontagne
Luc Lamontagne

H-Index: 9

A case-based reasoning tool to recommend drinking water source protection actions

Journal of Environmental Management

2023/4/1

Preventing RNN from Using Sequence Length as a Feature

2022/12/16

Jean-Thomas Baillargeon
Jean-Thomas Baillargeon

H-Index: 1

Luc Lamontagne
Luc Lamontagne

H-Index: 9

Reducing Sequence Length Learning Impacts on Transformer Models

arXiv preprint arXiv:2212.08399

2022/12/16

Jean-Thomas Baillargeon
Jean-Thomas Baillargeon

H-Index: 1

Luc Lamontagne
Luc Lamontagne

H-Index: 9

A case-based reasoning system to recommend solutions for source water protection: knowledge acquisition and modelling

Knowledge Management Research & Practice

2022/11/2

Evaluating legal accuracy of neural generators on the generation of criminal court dockets description

2022/7

Nicolas Garneau
Nicolas Garneau

H-Index: 2

Luc Lamontagne
Luc Lamontagne

H-Index: 9

Geographic ratemaking with spatial embeddings

ASTIN Bulletin: The Journal of the IAA

2022/1

Multinational Address Parsing: A Zero-Shot Evaluation

arXiv preprint arXiv:2112.04008

2021/12/7

Trainable ranking models to evaluate the semantic accuracy of data-to-text neural generator

2021/11

Nicolas Garneau
Nicolas Garneau

H-Index: 2

Luc Lamontagne
Luc Lamontagne

H-Index: 9

Shared task in evaluating accuracy: Leveraging pre-annotations in the validation process

2021/8

Nicolas Garneau
Nicolas Garneau

H-Index: 2

Luc Lamontagne
Luc Lamontagne

H-Index: 9

Criminelbart: a French Canadian legal language model specialized in criminal law

2021/6/21

Nicolas Garneau
Nicolas Garneau

H-Index: 2

Luc Lamontagne
Luc Lamontagne

H-Index: 9

Plum2Text: a french plumitifs-descriptions data-to-text dataset for natural language generation

2021/6/21

Nicolas Garneau
Nicolas Garneau

H-Index: 2

Luc Lamontagne
Luc Lamontagne

H-Index: 9

Leveraging subword embeddings for multinational address parsing

2021/6/5

Rethinking representations in P&C actuarial science with deep neural networks

arXiv preprint arXiv:2102.05784

2021/2/11

Machine learning in P&C insurance: A review for pricing and reserving

2020/12/23

Generating intelligible plumitifs descriptions: Use case application with ethical considerations

arXiv preprint arXiv:2011.12183

2020/11/24

Machine Learning in Property and Casualty Insurance: A Review for Pricing and Reserving

2020/11/2

Encoding neighbor information into geographical embeddings using convolutional neural networks

2020/5/5

See List of Professors in Luc Lamontagne University(Université Laval)

Co-Authors

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