Artifact detection in EEG using machine learning. - Elena Nedelcu; Raluca Portase; Ramona Tolas; Raul Cristian Muresan; Mihaela Dînsoreanu; Rodica Potolea (ICCP, 2017)

A System for Managing and Processing Industrial Sensor Data: SMS. - Codrin-Mihai Chira; Raluca Portase; Ramona Tolas; Camelia Lemnaru; Rodica Potolea (ICCP, 2020)

Modern approaches to preprocessing industrial data. - Eliza Maria Olariu; Ramona Tolas; Raluca Portase; Mihaela Dînsoreanu; Rodica Potolea (ICCP, 2020)

MEDIS: Analysis Methodology for Data with Multiple Complexities. - Raluca Portase; Ramona Tolas; Rodica Potolea (KDIR, 2021)

Periodicity detection algorithm and applications on IoT data. - Ramona Tolas; Raluca Portase; Andrei Iosif; Rodica Potolea (ISPDC, 2021)

Knowledge inference from home appliances data. - Catalin Firte; Loredana Iamnitchi; Raluca Portase; Ramona Tolas; Rodica Potolea; Mihaela Dînsoreanu; Camelia Lemnaru (ICCP, 2022)

Predictive Maintenance - Exploring strategies for Remaining Useful Life (RUL) prediction. - Eliza Maria Olariu; Raluca Portase; Ramona Tolas; Rodica Potolea (ICCP, 2022)

Extracting Appliance Behavior from Heterogeneous Data. - Iulia-Maria Rus; Raluca Portase; Ramona Tolas; Camelia Lemnaru; Mihaela Dînsoreanu; Rodica Potolea (ICCP, 2023)

Unsupervised Clustering and Explainable AI for Unveiling Behavioral Variations Across Time in Home-Appliance Generated Data. - Ramona Tolas; Raluca Portase; Camelia Lemnaru; Mihaela Dînsoreanu; Rodica Potolea (iiWAS, 2023)

Advancements in Household Data Mining: Fine-Tuning of Usage Pattern Inference Pipeline. - Ramona Tolas; Raluca Portase; Rodica Potolea (IoTBDS, 2024)

GeMSyD: Generic Framework for Synthetic Data Generation. - Ramona Tolas; Raluca Portase; Rodica Potolea (Data, 2024)

SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities. - Raluca Portase; Ramona Tolas; Rodica Potolea (Sensors, 2024)