Daniel Ramos

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
BatFix: Repairing language model-based transpilation.
ACM Trans. Softw. Eng. Methodol., July, 2024

Evaluation of TCP Congestion Control Algorithms with traffic control policies in a PEP-based geosynchronous satellite scenario.
Comput. Networks, February, 2024

A Lightweight Polyglot Code Transformation Language.
Proc. ACM Program. Lang., 2024

Decoding Pedestrian Stress on Urban Streets using Electrodermal Activity Monitoring in Virtual Immersive Reality.
CoRR, 2024

Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration.
CoRR, 2024

2023
MELT: Mining Effective Lightweight Transformations from Pull Requests.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Explainable Artificial Intelligence for Definition of Inputs in Neural Networks and K-nearest Neighbors Forecasting of Electricity Consumption.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm.
Proceedings of the Progress in Artificial Intelligence, 2023

Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periods in an Office Building.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

Spreading the Love for Mathematical Research Data.
Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023

2022
A Contextual Reinforcement Learning Approach for Electricity Consumption Forecasting in Buildings.
IEEE Access, 2022

CPU Computation Influence on Energy Consumption Forecasting Activities of a Building.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts.
Proceedings of the Progress in Artificial Intelligence, 2022

2021
Replication of SOAR: A Synthesis Approach for Data Science API Refactoring.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

SOAR: A Synthesis Approach for Data Science API Refactoring.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach.
Sensors, 2020

UNCHARTIT: An Interactive Framework for Program Recovery from Charts.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019
Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings.
Proceedings of the Progress in Artificial Intelligence, 2019

2015
QD Framework: Using Dynamic Catalogs to Organize Mirror Servers on Scalable and Resilient Service Meshes.
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015

VLibras-BOX: Flexible Portuguese-LIBRAS Translation Server Encapsulation for Distributed, Centralized or Hybrid Scenarios.
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015

MDACCER: Modified Distributed Assessment of the Closeness CEntrality Ranking in Complex Networks for Massively Parallel Environments.
Proceedings of the 2015 International Symposium on Computer Architecture and High Performance Computing Workshops, 2015

2011
Supplemental sonification of a bingo game.
Proceedings of the Foundations of Digital Games, 2011


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