Artificial Intelligence as a Way of Overcoming Visual Disorders: Damages Related to Visual Cortex, Optic Nerves and Eyes. - Niloufar Shoeibi; Farrokh Karimi; Juan Manuel Corchado (DCAI (Special Sessions), 2019)

Future of Smart Parking: Automated Valet Parking Using Deep Q-Learning. - Nastaran Shoeibi; Niloufar Shoeibi (DCAI (Special Sessions), 2019)

Data Augmentation Using Gaussian Mixture Model on CSV Files. - Ashish Arora; Niloufar Shoeibi; Vishwani Sati; Alfonso González-Briones; Pablo Chamoso; Emilio Corchado (DCAI, 2020)

An Energy-Aware Dynamic Resource Management Technique Using Deep Q-Learning Algorithm and Joint VM and Container Consolidation Approach for Green Computing in Cloud Data Centers. - Niloofar Gholipour; Niloufar Shoeibi; Ehsan Arianyan (DCAI (Special Sessions), 2020)

Analysis of Self-presentation and Self-verification of the Users on Twitter. - Niloufar Shoeibi (DCAI (Special Sessions), 2020)

A Feature Based Approach on Behavior Analysis of the Users on Twitter: A Case Study of AusOpen Tennis Championship. - Niloufar Shoeibi; Alberto Martín Mateos; Alberto Rivas Camacho; Juan M. Corchado (DCAI, 2020)

Face Detection and Recognition, Face Emotion Recognition Through NVIDIA Jetson Nano. - Vishwani Sati; Sergio Márquez Sánchez; Niloufar Shoeibi; Ashish Arora; Juan M. Corchado (ISAmI, 2020)

"Cooperative Deeptech Platform" for Innovation-Hub Members of DISRUPTIVE. - Niloufar Shoeibi (ISAmI, 2020)

Edge Computing Driven Smart Personal Protective System Deployed on NVIDIA Jetson and Integrated with ROS. - Sergio Márquez Sánchez; Francisco Lecumberri; Vishwani Sati; Ashish Arora; Niloufar Shoeibi; Sara Rodríguez 001; Juan M. Corchado Rodríguez (PAAMS (Workshops), 2020)

Distributed Platform for the Extraction and Analysis of Information. - Francisco Pinto-Santos; Niloufar Shoeibi; Alberto Rivas; Guillermo Hernández 001; Pablo Chamoso; Fernando De la Prieta (SSCT, 2021)

Smart Cyber Victimization Discovery on Twitter. - Niloufar Shoeibi; Nastaran Shoeibi; Vicente Julián; Sascha Ossowski; Angélica González Arrieta; Pablo Chamoso (SSCT, 2021)

Quantifying Fairness Disparities in Graph-Based Neural Network Recommender Systems for Protected Groups. - Nikzad Chizari; Keywan Tajfar; Niloufar Shoeibi; María N. Moreno García (WEBIST, 2023)

A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems. - Nikzad Chizari; Niloufar Shoeibi; María N. Moreno García (CoRR, 2023)

Measuring Fairness in AI Explanations with LEADR: Local Explanation Amplification Disparity Ratio. - Niloufar Shoeibi; Jonathan DeGange; Nastaran Shoeibi; Ali Shoeibi (PAAMS, 2024)