research
∙
06/21/2023
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings
Machine Learning (ML) models struggle with data that changes over time o...
share
research
∙
04/29/2022
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation
Increasing a ML model accuracy is not enough, we must also increase its ...
research
∙
01/03/2022
Orienteering problem with time-windows and updating delay
The Orienteering Problem with Time Window and Delay () is a variant of t...
research
∙
11/04/2021
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging
Machine Learning (ML) is more than just training models, the whole workf...
research
∙
07/17/2019
Online Firefighting on Grids
The Firefighter Problem (FP) is a graph problem originally introduced in...
research
∙
02/06/2019
