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2020 – today
- 2024
[j3]Ramona Tolas
, Raluca Portase, Rodica Potolea:
GeMSyD: Generic Framework for Synthetic Data Generation. Data 9(1): 14 (2024)- [j2]Raluca Portase, Ramona Tolas, Rodica Potolea:
SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities. Sensors 24(7): 2159 (2024) - [j1]Radu-Marian Portase, Raluca Portase, Adrian Colesa, Gheorghe Sebestyen:
LEDA - Layered Event-Based Malware Detection Architecture. Sensors 24(19): 6393 (2024) - [c13]Raluca-Laura Portase, Alcorina-Madalina Dragotoniu, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea:
Advancing IoT Data Utilization: Generating and Evaluating Synthetic Time Series Data. ICCP 2024: 1-8 - [c12]Iulia Iarina Ungureanu, Raluca-Laura Portase, Mihaela Dînsoreanu, Camelia Lemnaru, Rodica Potolea:
Hybrid Statistical and AI Methods for Synthetic Time Series Generation in Practical Applications. ICCP 2024: 1-8 - [c11]Ramona Tolas, Raluca Portase, Rodica Potolea:
Advancements in Household Data Mining: Fine-Tuning of Usage Pattern Inference Pipeline. IoTBDS 2024: 53-61 - 2023
- [c10]Iulia-Maria Rus, Raluca Portase, Ramona Tolas, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea:
Extracting Appliance Behavior from Heterogeneous Data. ICCP 2023: 87-92 - [c9]Ramona Tolas, Raluca Portase, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea:
Unsupervised Clustering and Explainable AI for Unveiling Behavioral Variations Across Time in Home-Appliance Generated Data. iiWAS 2023: 147-161 - 2022
- [c8]Eliza Maria Olariu, Raluca Portase, Ramona Tolas, Rodica Potolea:
Predictive Maintenance - Exploring strategies for Remaining Useful Life (RUL) prediction. ICCP 2022: 3-8 - [c7]Catalin Firte, Loredana Iamnitchi, Raluca Portase, Ramona Tolas, Rodica Potolea, Mihaela Dînsoreanu, Camelia Lemnaru:
Knowledge inference from home appliances data. ICCP 2022: 237-243 - 2021
- [c6]Raluca Portase, Ramona Tolas, Rodica Potolea:
MEDIS: Analysis Methodology for Data with Multiple Complexities. KDIR 2021: 191-198 - [c5]Ramona Tolas, Raluca Portase, Andrei Iosif, Rodica Potolea:
Periodicity detection algorithm and applications on IoT data. ISPDC 2021: 81-88 - 2020
- [c4]Codrin-Mihai Chira, Raluca Portase, Ramona Tolas, Camelia Lemnaru, Rodica Potolea:
A System for Managing and Processing Industrial Sensor Data: SMS. ICCP 2020: 213-220 - [c3]Eliza Maria Olariu, Ramona Tolas, Raluca Portase, Mihaela Dînsoreanu, Rodica Potolea:
Modern approaches to preprocessing industrial data. ICCP 2020: 221-226 - [c2]Raluca Portase, Bora Uçar:
Matrix symmetrization and sparse direct solvers. CSC 2020: 128-137
2010 – 2019
- 2017
- [c1]Elena Nedelcu, Raluca Portase, Ramona Tolas, Raul Cristian Muresan, Mihaela Dînsoreanu, Rodica Potolea:
Artifact detection in EEG using machine learning. ICCP 2017: 77-83
Coauthor Index
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