Adriana Arza

12 papers Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2022 J jnl
Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With Drones.
IEEE J. Biomed. Health Informatics
Fabio Dell'Agnola, Ping-Keng Jao, Adriana Arza, Ricardo Chavarriaga, José del R. Millán, Dario Floreano, David Atienza
2022 J jnl
Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices.
IEEE Trans. Biomed. Eng.
Renato Zanetti, Adriana Arza, Amir Aminifar, David Atienza
2021 J jnl
EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping Tasks.
IEEE Trans. Hum. Mach. Syst.
Ping-Keng Jao, Ricardo Chavarriaga, Fabio Dell'Agnola, Adriana Arza, David Atienza, José del R. Millán
2021 J jnl
MBioTracker: Multimodal Self-Aware Bio-Monitoring Wearable System for Online Workload Detection.
IEEE Trans. Biomed. Circuits Syst.
Fabio Dell'Agnola, Una Pale, Rodrigo Marino, Adriana Arza, David Atienza
2021 — conf
ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm.
EMBC
Una Pale, Nathan Müller, Adriana Arza, David Atienza
2021 — conf
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals
EMBC
Arman Iranfar, Adriana Arza, David Atienza
2021 J jnl
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals.
CoRR
Arman Iranfar, Adriana Arza, David Atienza
2020 — conf
Cognitive Workload Monitoring in Virtual Reality Based Rescue Missions with Drones.
HCI (10)
Fabio Dell'Agnola, Niloofar Momeni, Adriana Arza, David Atienza
2020 J jnl
Self-Aware Machine Learning for Multimodal Workload Monitoring during Manual Labor on Edge Wearable Sensors.
IEEE Des. Test
Giulio Masinelli, Farnaz Forooghifar, Adriana Arza, David Atienza, Amir Aminifar
2019 — conf
Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices.
EMBC
Victoriano Montesinos, Fabio Dell'Agnola, Adriana Arza, Amir Aminifar, David Atienza
2019 — conf
REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm.
EMBC
Lara Orlandic, Elisabetta De Giovanni, Adriana Arza, Sasan Yazdani, Jean-Marc Vesin, David Atienza
2019 — conf
Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue Missions.
EMBC
Niloofar Momeni, Fabio Dell'Agnola, Adriana Arza, David Atienza