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ORCIDDaniel Ramos
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Daniel Ramos-Castro
![[0000-0001-5998-1489]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5998-1489")
(aka: Daniel Ramos 0001) — Autonomous University of Madrid, School of Engineering, AUDIAS, Spain - Daniel Ramos 0002 — University of Puerto Rico-Mayagüez, Puerto Rico
- Daniel Ramos 0003 — University of Nevada, Reno, NV, USA
- Daniel Ramos 0004 — Institute of Microelectronics of Madrid, Spain
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Journal Articles
- 2024
[j5]Daniel Ramos, Oscar Esparza, Jorge Mata-Díaz, Juanjo Alins:
Evaluation of TCP Congestion Control Algorithms with traffic control policies in a PEP-based geosynchronous satellite scenario. Comput. Networks 239: 110131 (2024)- [j4]Ameya Ketkar, Daniel Ramos, Lazaro Clapp, Raj Barik, Murali Krishna Ramanathan:
A Lightweight Polyglot Code Transformation Language. Proc. ACM Program. Lang. 8(PLDI): 1288-1312 (2024) - [j3]Daniel Ramos, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
BatFix: Repairing language model-based transpilation. ACM Trans. Softw. Eng. Methodol. 33(6): 161 (2024) - 2022
- [j2]Daniel Ramos, Pedro Faria, Luis Gomes, Zita A. Vale:
A Contextual Reinforcement Learning Approach for Electricity Consumption Forecasting in Buildings. IEEE Access 10: 61366-61374 (2022) - 2020
- [j1]Daniel Ramos, Brigida Teixeira, Pedro Faria, Luis Gomes, Omid Abrishambaf, Zita A. Vale:
Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach. Sensors 20(12): 3524 (2020)
Conference and Workshop Papers
- 2023
- [c16]Tabea Bacher, Christiane Görgen, Tabea Krause, Andreas Matt, Daniel Ramos, Bianca Violet:
Spreading the Love for Mathematical Research Data. CoRDI 2023 - [c15]Daniel Ramos, Pedro Faria, Zita Vale:
Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption. EI.A (2) 2023: 51-62 - [c14]Daniel Ramos, Pedro Faria, Luis Gomes, Zita Vale:
Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periods in an Office Building. EI.A (2) 2023: 83-91 - [c13]Bruno Mota, Daniel Ramos, Pedro Faria, Carlos Ramos:
Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm. EPIA (2) 2023: 182-194 - [c12]Daniel Ramos, Pedro Faria, Zita Vale:
Explainable Artificial Intelligence for Definition of Inputs in Neural Networks and K-nearest Neighbors Forecasting of Electricity Consumption. ISGT EUROPE 2023: 1-5 - [c11]Daniel Ramos, Hailie Mitchell, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
MELT: Mining Effective Lightweight Transformations from Pull Requests. ASE 2023: 1516-1528 - 2022
- [c10]Daniel Ramos, Pedro Faria, Luis Gomes, Pedro Campos, Zita A. Vale:
A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts. EPIA 2022: 271-281 - [c9]Daniel Ramos, Pedro Faria, Luis Gomes, Zita A. Vale:
CPU Computation Influence on Energy Consumption Forecasting Activities of a Building. SOCO 2022: 51-61 - 2021
- [c8]Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
SOAR: A Synthesis Approach for Data Science API Refactoring. ICSE 2021: 112-124 - [c7]Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
Replication of SOAR: A Synthesis Approach for Data Science API Refactoring. ICSE (Companion Volume) 2021: 190-191 - 2020
- [c6]Daniel Ramos, Jorge Pereira, Inês Lynce, Vasco Manquinho, Ruben Martins:
UNCHARTIT: An Interactive Framework for Program Recovery from Charts. ASE 2020: 175-186 - 2019
- [c5]Aria Jozi, Daniel Ramos, Luis Gomes, Pedro Faria, Tiago Pinto, Zita A. Vale:
Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings. EPIA (1) 2019: 462-468 - 2015
- [c4]Frederico Luís Cabral, Carla Osthoff, Daniel Ramos, Rafael Nardes:
MDACCER: Modified Distributed Assessment of the Closeness CEntrality Ranking in Complex Networks for Massively Parallel Environments. SBAC-PAD (Workshops) 2015: 43-48 - [c3]Gutenberg Pessoa Botelho Neto, Daniel Ramos, Rostand Costa, Alexandre Nóbrega Duarte, Jaelson N. Júnior, Francielly Grigório:
QD Framework: Using Dynamic Catalogs to Organize Mirror Servers on Scalable and Resilient Service Meshes. WebMedia 2015: 49-52 - [c2]Francielly Grigório, Jaelson N. Júnior, Alexandre Nóbrega Duarte, Rostand Costa, Daniel Ramos, Gutenberg Pessoa:
VLibras-BOX: Flexible Portuguese-LIBRAS Translation Server Encapsulation for Distributed, Centralized or Hybrid Scenarios. WebMedia 2015: 173-176 - 2011
- [c1]Daniel Ramos, Eelke Folmer:
Supplemental sonification of a bingo game. FDG 2011: 168-173
Informal and Other Publications
- 2024
- [i4]Luciana Ferrer, Daniel Ramos:
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration. CoRR abs/2408.02841 (2024) - [i3]Mohsen Nazemi, Bara Rababah, Daniel Ramos, Tangxu Zhao, Bilal Farooq:
Decoding Pedestrian Stress on Urban Streets using Electrodermal Activity Monitoring in Virtual Immersive Reality. CoRR abs/2408.11769 (2024) - 2023
- [i2]Daniel Ramos, Hailie Mitchell, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
MELT: Mining Effective Lightweight Transformations from Pull Requests. CoRR abs/2308.14687 (2023) - 2021
- [i1]Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
SOAR: A Synthesis Approach for Data Science API Refactoring. CoRR abs/2102.06726 (2021)
Coauthor Index
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last updated on 2024-12-10 21:44 CET by the dblp team
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