Multiple Model BLE-based Tracking via Validation of RSSI Fluctuations under Different Conditions. - Mohammadamin Atashi; Mohammad Salimibeni; Parvin Malekzadeh; Mihai Barbulescu; Konstantinos N. Plataniotis; Arash Mohammadi 001 (FUSION, 2019)

Belief Condensation Filtering for RSSI-Based State Estimation in Indoor Localization. - Shervin Mehryar; Parvin Malekzadeh; Santiago Mazuelas; Petros Spachos; Konstantinos N. Plataniotis; Arash Mohammadi 001 (ICASSP, 2019)

Gaussian Mixture-based Indoor Localization via Bluetooth Low Energy Sensors. - Parvin Malekzadeh; Mohammad Salimibeni; Mohammadamin Atashi; Mihai Barbulescu; Konstantinos N. Plataniotis; Arash Mohammadi 001 (IEEE SENSORS, 2019)

Event-Triggered Monitoring/Communication of Inertial Measurement Unit for IoT Applications. - Mohammad Salimibeni; Parvin Malekzadeh; Mohammadamin Atashi; Mihai Barbulescu; Konstantinos N. Plataniotis; Arash Mohammadi 001 (IEEE SENSORS, 2019)

STUPEFY: Set-Valued Box Particle Filtering for Bluetooth Low Energy-Based Indoor Localization. - Parvin Malekzadeh; Arash Mohammadi 001; Mihai Barbulescu; Konstantinos N. Plataniotis (IEEE Signal Process. Lett., 2019)

Distributed Hybrid Kalman Temporal Differences for Reinforcement Learning. - Mohammad Salimibeni; Parvin Malekzadeh; Arash Mohammadi 001; Konstantinos N. Plataniotis (ACSSC, 2020)

Orientation-Matched Multiple Modeling for RSSI-based Indoor Localization via BLE Sensors. - Mohammadamin Atashi; Parvin Malekzadeh; Mohammad Salimibeni; Zohreh Hajiakhondi-Meybodi; Konstantinos N. Plataniotis; Arash Mohammadi 001 (EUSIPCO, 2020)

IoT-TD: IoT Dataset for Multiple Model BLE-based Indoor Localization/Tracking. - Mohammad Salimibeni; Zohreh Hajiakhondi-Meybodi; Parvin Malekzadeh; Mohammadamin Atashi; Konstantinos N. Plataniotis; Arash Mohammadi 001 (EUSIPCO, 2020)

Non-Gaussian BLE-Based Indoor Localization Via Gaussian Sum Filtering Coupled with Wasserstein Distance. - Parvin Malekzadeh; Shervin Mehryar; Petros Spachos; Konstantinos N. Plataniotis; Arash Mohammadi 001 (ICASSP, 2020)

MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning. - Parvin Malekzadeh; Mohammad Salimibeni; Arash Mohammadi 001; Akbar Assa; Konstantinos N. Plataniotis (IEEE Access, 2020)

Makf-Sr: Multi-Agent Adaptive Kalman Filtering-Based Successor Representations. - Mohammad Salimibeni; Parvin Malekzadeh; Arash Mohammadi 001; Petros Spachos; Konstantinos N. Plataniotis (ICASSP, 2021)

Combining information-seeking exploration and reward maximization: Unified inference on continuous state and action spaces under partial observability. - Parvin Malekzadeh; Konstantinos N. Plataniotis (CoRR, 2022)

AKF-SR: Adaptive Kalman filtering-based successor representation. - Parvin Malekzadeh; Mohammad Salimibeni; Ming Hou 002; Arash Mohammadi 001; Konstantinos N. Plataniotis (Neurocomputing, 2022)

Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation. - Mohammad Salimibeni; Arash Mohammadi 001; Parvin Malekzadeh; Konstantinos N. Plataniotis (Sensors, 2022)

A Unified Uncertainty-Aware Exploration: Combining Epistemic and Aleatory Uncertainty. - Parvin Malekzadeh; Ming Hou 002; Konstantinos N. Plataniotis (ICASSP, 2023)

Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning☆. - Parvin Malekzadeh; Ming Hou 002; Konstantinos N. Plataniotis (Neurocomputing, 2023)

EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning. - Parvin Malekzadeh; Zissis Poulos; Jacky Chen; Zeyu Wang; Konstantinos N. Plataniotis (ICAIF, 2024)

A Robust Quantile Huber Loss with Interpretable Parameter Adjustment in Distributional Reinforcement Learning. - Parvin Malekzadeh; Konstantinos N. Plataniotis; Zissis Poulos; Zeyu Wang (ICASSP, 2024)

Active Inference and Reinforcement Learning: A Unified Inference on Continuous State and Action Spaces Under Partial Observability. - Parvin Malekzadeh; Konstantinos N. Plataniotis (Neural Comput., 2024)