KnowledgePit meets BrightBox: A step toward insightful investigation of the results of data science competitions

A Janusz, D Ślęzak - 2022 17th Conference on Computer …, 2022 - ieeexplore.ieee.org
We discuss the benefits of integrating the KnowledgePit data science competition platform
with the BrightBox technology aimed at diagnostics of machine learning models embedded …

Key Factors to Consider when Predicting the Costs of Forwarding Contracts

QH Vu, L Cen, D Ruta, M Liu - 2022 17th Conference on …, 2022 - ieeexplore.ieee.org
Predicting the cost of forwarding contracts is a typical problem that logistics companies need
to solve in order to optimize their business for a better profit. This is the challenge defined in …

IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays

M Wnuk, J Dziuba, A Janusz… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We summarize the results of the IEEE BigData 2023 Cup: Object Recognition with Muon
Tomography using Cosmic Rays-a data mining competition organized at the KnowledgePit …

Considering various aspects of models' quality in the ML pipeline-application in the logistics sector

E Kannout, M Grodzki… - 2022 17th Conference on …, 2022 - ieeexplore.ieee.org
The industrial machine learning applications today involve developing and deploying
MLOps pipelines to ensure the versatile quality of forecasting models over an extended …

IEEE bigdata cup 2022 report privacy-preserving matching of encrypted images

M Szczuka, A Janusz, B Cyganek… - … Conference on Big …, 2022 - ieeexplore.ieee.org
We summarize the results of IEEE BigData 2022 Cup: Privacy-preserving Matching of
Encrypted Images-a data mining challenge organized at the KnowledgePit platform in …

Predicting Frags in Tactic Games at KnowledgePit. ai: ICME 2023 Grand Challenge Report

A Janusz, D Ślęzak - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
We describe a data science competition ICME 2023 Grand Challenge: Predicting Frags in
Tactic Games that was organized in association with the IEEE ICME conference series at the …

Application of diversified ensemble learning in real-life business problems: The case of predicting costs of forwarding contracts

M Trajanoska, P Gjorgovski… - 2022 17th Conference …, 2022 - ieeexplore.ieee.org
Finding an optimal machine learning model that can be applied to a business problem is a
complex challenge that needs to provide a balance between multiple requirements …

[HTML][HTML] Optimization of Recommender Systems Using Particle Swarms

NY Gelvez-García, J Gil-Ruíz, JF Bayona-Navarro - Ingeniería, 2023 - scielo.org.co
Abstract GELVEZ-GARCIA, Nancy Yaneth; GIL-RUIZ, Jesús and BAYONA-NAVARRO, Jhon
Fredy. Optimization of Recommender Systems Using Particle Swarms. ing.[online]. 2023 …

Optimization of Recommender Systems Using Particle Swarms.

N Yaneth Gelvez-García, J Gil-Ruíz… - Ingeniería (0121 …, 2023 - search.ebscohost.com
Background: ecommender systems are one of the most widely used technologies by
electronic businesses and internet applications as part of their strategies to improve …

[PDF][PDF] Machine Learning in Healthcare and Business Analytics-Applications in Gait Analysis, Business Process Management, and Customer Service

A Nguyen - 2023 - opus4.kobv.de
Machine learning (ML) has advanced at impressive speed. The rapid progress can be
explained by the increasing availability of data and access to low-cost and high …