15 citations · 47 across the 9 of their papers we have counts for
10 papers
ViSAR: Training-Free Adaptive- Retrieval for Visual Document Question Answering
Adrien Mialland, Marc Plantevit, Julien Gallois +1
Document Visual Question Answering (DocVQA) often leverages Retrieval-Augmented Generation (RAG), where late-interaction encoders are commonly used to identify document pages relev…
On GNN explanability with activation rules
Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner +2
GNNs are powerful models based on node representation learning that perform particularly well in many machine learning problems related to graphs. The major obstacle to the deploym…
Peripheral Nervous System Responses to Food Stimuli: Analysis Using Data Science Approaches
Maelle Moranges, Marc Plantevit, Moustafa Bensafi
In the field of food, as in other fields, the measurement of emotional responses to food and their sensory properties is a major challenge. In the present protocol, we propose a st…
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets
Youcef Remil, Anes Bendimerad, Mathieu Chambard +3
Software applications, especially Enterprise Resource Planning (ERP) systems, are crucial to the day-to-day operations of many industries. Therefore, it is essential to maintain th…
Explicit and implicit measures of emotions: Data-science might help to account for data complexity and heterogeneity
M. Moranges, C. Rouby, M. Plantevit +1
Measuring emotions is a real challenge for fundamental and applied research, especially in ecological contexts. de Wijk and Noldus propose combining two types of measures-explicit…
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery
Youcef Remil, Anes Bendimerad, Marc Plantevit +2
The need of predictive maintenance comes with an increasing number of incidents reported by monitoring systems and equipment/software users. In the front line, on-call engineers (O…