Machine learning methods to estimate productivity of harvesters: mechanized timber harvesting in Brazil
The correct capture of forest operations information carried out in forest plantations can help
in the management of mechanized harvesting timber. Proper management must be able to …
in the management of mechanized harvesting timber. Proper management must be able to …
A semantic and service-based approach for adaptive mutli-structured data curation in data lakehouses
Recently, we noticed the emergence of several data management architectures to cope with
the challenges imposed by big data. Among them, data lakehouses are receiving much …
the challenges imposed by big data. Among them, data lakehouses are receiving much …
MiniPFL: Mini federations for hierarchical personalized federated learning
Personalized federated learning trains personalized models tailored to meet individual
client's specific data distributions. However, global models often introduce irrelevant …
client's specific data distributions. However, global models often introduce irrelevant …
Human-AI collaboration to mitigate decision noise in financial underwriting: A study on FinTech innovation in a lending firm
Financial institutions have recognized the value of collaborating human expertise and AI to
create high-performance augmented decision-support systems. Stakeholders at lending …
create high-performance augmented decision-support systems. Stakeholders at lending …
A service-based framework for adaptive data curation in data lakehouses
Data lakehouses are novel data management designs intended to hold disparate batch and
streaming data sources in a single data repository. These data sources could be retrieved …
streaming data sources in a single data repository. These data sources could be retrieved …
A Market Convergence Prediction Framework Based on a Supply Chain Knowledge Graph
S Zhou, Y Liu, Y Liu - Sustainability, 2024 - mdpi.com
Market convergence challenges socially sustainable supply chain management (SSSCM)
due to the increasing competition. Identifying market convergence trends allows companies …
due to the increasing competition. Identifying market convergence trends allows companies …
Rule learning over knowledge graphs with genetic logic programming
Declarative rules such as Prolog and Datalog rules are common formalisms to express
expert knowledge and facts. They play an important role in Knowledge Graph (KG) …
expert knowledge and facts. They play an important role in Knowledge Graph (KG) …
Adventures with Datalog: Walking the Thin Line Between Theory and Practice
G Gottlob - International Conference of the Italian Association for …, 2022 - Springer
This keynote paper features a concise introduction to Datalog, which is followed by an
overview of some theoretical results about the complexity and expressive power of a number …
overview of some theoretical results about the complexity and expressive power of a number …
[PDF][PDF] Logica: Declarative Data Science for Mere Mortals.
E Skvortsov, Y Xia, B Ludäscher - EDBT, 2024 - openproceedings.org
ABSTRACT Logica (= Logic+ aggregation) is a freely available, open-source, feature-
enhanced version of Datalog that automatically compiles logic rules to several SQL …
enhanced version of Datalog that automatically compiles logic rules to several SQL …
When Automatic Filtering Comes to the Rescue: Pre-Computing Company Competitor Pairs in Owler
Competitor data constitutes information significantly valuable for many business
applications. Meltwater provides users with access to a large Company Information System …
applications. Meltwater provides users with access to a large Company Information System …