Irida Shallari

37 papers B 5C 1Journal 9Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BranchySplit: Runtime-Adaptable Partitioning and Early Exits for Accelerated Edge Inference. IEEE Access Oscar Artur Bernd Berg, Eiraj Saqib, Axel Jantsch, Isaac Sánchez Leal, Irida Shallari, Silvia Krug, Mattias O'Nils
2026	—	`conf`	Empowering International Students' Listening and Speaking Skills via AI-Driven Audio in NotebookLM: Reflections Across Disciplines. HICSS Xin Zhao, Xuanning Chen, Marco Carratù, Irida Shallari, Minna Rollins
2026	—	`conf`	Introduction to the Minitrack on Generative Artificial Intelligence in Higher Education. HICSS Irida Shallari, Minna Rollins, Xin Zhao, Marco Carratù
2026	J	`jnl`	Self-Attention Enhanced Student-Teacher Framework for Visual Anomaly Detection in Industrial Images. IEEE Access Hafiz A. Amjad, Irida Shallari, Mattias O'Nils, Faisal Z. Qureshi
2025	—	`conf`	Addressing Contextual Factors in ArUco Marker-Based Distance Estimation: A Machine Learning Approach. I2MTC Seyed Jalaleddin Mousavirad, Vincenzo Gallo, Irida Shallari, Mattias O'Nils
2025	C	`conf`	Efficient Edge Inference via Entropy and Magnitude-Aware Feature Map Pruning in Partitioned CNNs. ICMLA Eiraj Saqib, Oscar Artur Bernd Berg, Isaac Sánchez Leal, Irida Shallari, Silvia Krug, Axel Jantsch, Mattias O'Nils
2025	—	`conf`	Efficient Inference of parallel partitioned hybrid-Vision Transformers. RAGE@SenSys Oscar Artur Bernd Berg, Eiraj Saqib, Axel Jantsch, Mattias O'Nils, Silvia Krug, Irida Shallari, Isaac Sánchez Leal
2025	—	`conf`	From mAP to Statistical Metrics: A New Paradigm for Evaluating Model Accuracy in Metrology. I2MTC Astile Peter, Irida Shallari, Marco Carratu, Jan Lundgren
2025	—	`conf`	INVITED: Optimizing IoT Node Design for Edge Computing Applications. RAGE@SenSys Irida Shallari
2025	—	`conf`	Introduction to the Minitrack on Generative Artificial Intelligence in Higher Education. HICSS Xin Zhao, Marco Carratù, Irida Shallari, Minna Rollins
2025	B	`conf`	Neural Network-Based Sensor-Guided Exposure Control Eliminating Multi-Frame Input. SAS Ash Ziqin Tang, Irida Shallari, Seyed Jalaleddin Mousavirad, Mattias O'Nils
2025	J	`jnl`	Quantization Compensator Network: Server-Side Feature Reconstruction in Partitioned IoT Systems. IEEE Access Isaac Sánchez Leal, Oscar Artur Bernd Berg, Silvia Krug, Eiraj Saqib, Irida Shallari, Axel Jantsch, Mattias O'Nils, Tomas Nordström
2025	—	`conf`	Quantization-Aware Training for Autoencoder-Based Partitioning of CNNs. PerCom Workshops Oscar Artur Bernd Berg, Eiraj Saqib, Axel Jantsch, Mattias O'Nils, Irida Shallari, Isaac Sánchez Leal, Silvia Krug
2025	—	`conf`	Students' Use and Attitudes Toward Generative Artificial Intelligence: A Comparative Study Between the UK and China. HICSS Xin Zhao, Xuanning Chen, Lei Vincent Huang, Minna Rollins, Marco Carratù, Irida Shallari
2025	J	`jnl`	TCL: Time-Dependent Clustering Loss for Optimizing Post-Training Feature Map Quantization for Partitioned DNNs. IEEE Access Oscar Artur Bernd Berg, Eiraj Saqib, Axel Jantsch, Irida Shallari, Silvia Krug, Isaac Sánchez Leal, Mattias O'Nils
2025	B	`conf`	Temporal Image Sequence Fusion with PSO-Optimised CNN Transfer Learning for Plant Temporal State Categorisation. CEC Seyed Jalaleddin Mousavirad, Irida Shallari, Mattias O'Nils
2024	B	`conf`	An Evolutionary Compact Deep Transfer Learning with CNN for Hyper-Parameter Tuning in Temporal Sorting of Plant Growth. CEC Seyed Jalaleddin Mousavirad, Irida Shallari, Mattias O'Nils
2024	—	`conf`	Assignments in the ChatGPT-era: Case Study on Plagiarism in Digital Systems Design Courses. HICSS Irida Shallari, Mazhar Hussain
2024	J	`jnl`	Design and Characterization of a Powered Wheelchair Autonomous Guidance System. Sensors Vincenzo Gallo, Irida Shallari, Marco Carratù, Valter Laino, Consolatina Liguori
2024	—	`conf`	Design and Evaluation of a Soft Sensor for Snow Weight Measurement. I2MTC Marco Carratù, Vincenzo Gallo, Consolatina Liguori, Irida Shallari, Jan Lundgren, Mattias O'Nils
2024	—	`conf`	Earthquake Magnitude Estimation with Single Seismic Station using Deep Learning. M&N Marco Carratù, Vincenzo Gallo, Valter Laino, Vincenzo Paciello, António Espírito-Santo, Irida Shallari
2024	—	`conf`	Method for Capturing Measured LiDAR Data with Ground Truth for Generation of Big Real LiDAR Data Sets. I2MTC Ola Gatner, Irida Shallari, Yali Nie, Mattias O'Nils, Muhammad Imran
2024	—	`conf`	Model Evaluation and Selection for Robust and Efficient Advertisement Detection in Print Media. ICACDS Faeze Zakaryapour Sayyad, Irida Shallari, Seyed Jalaleddin Mousavirad, Mattias O'Nils
2024	—	`conf`	Multi-Path Interference Denoising of LiDAR Data Using a Deep Learning Based on U-Net Model. I2MTC Yali Nie, Mattias O'Nils, Ola Gatner, Muhammad Imran, Irida Shallari
2023	—	`conf`	Metrological Characterization of a Clip Fastener assembly fault detection system based on Deep Learning. I2MTC Vincenzo Gallo, Irida Shallari, Marco Carratu, Mattias O'Nils
2023	B	`conf`	Optimizing the IoT Performance: A Case Study on Pruning a Distributed CNN. SAS Eiraj Saqib, Isaac Sánchez Leal, Irida Shallari, Axel Jantsch, Silvia Krug, Mattias O'Nils
2023	—	`conf`	Waist Tightening of CNNs: A Case study on Tiny YOLOv3 for Distributed IoT Implementations. CPS-IoT Week Workshops Isaac Sánchez Leal, Eiraj Saqib, Irida Shallari, Axel Jantsch, Silvia Krug, Mattias O'Nils
2022	J	`jnl`	A Study on the Correlation between Change in the Geometrical Dimension of a Free-Falling Molten Glass Gob and Its Viscosity. Sensors Mazhar Hussain, Mattias O'Nils, Jan Lundgren, Irida Shallari
2022	—	`conf`	Image Scaling Effects on Deep Learning Based Applications. M&N Irida Shallari, Vincenzo Gallo, Marco Carratu, Mattias O'Nils, Consolatina Liguori, Mazhar Hussain
2022	B	`conf`	Selection of optimal parameters to predict fuel consumption of city buses using data fusion. SAS Mazhar Hussain, Mattias O'Nils, Jan Lundgren, Marco Carratù, Irida Shallari
2021	J	`jnl`	Design Space Exploration for an IoT Node: Trade-Offs in Processing and Communication. IEEE Access Irida Shallari, Isaac Sánchez Leal, Silvia Krug, Axel Jantsch, Mattias O'Nils
2020	J	`jnl`	Communication and computation inter-effects in people counting using intelligence partitioning. J. Real Time Image Process. Irida Shallari, Silvia Krug, Mattias O'Nils
2019	—	`conf`	A Case Study on Energy Overhead of Different IoT Network Stacks. WF-IoT Silvia Krug, Irida Shallari, Mattias O'Nils
2019	J	`jnl`	From the Sensor to the Cloud: Intelligence Partitioning for Smart Camera Applications. Sensors Irida Shallari, Mattias O'Nils
2018	—	`conf`	Architectural evaluation of node: server partitioning for people counting. ICDSC Irida Shallari, Silvia Krug, Mattias O'Nils
2017	—	`conf`	Background modelling, analysis and implementation for thermographic images. IPTA Irida Shallari, Qaiser Anwar, Muhammad Imran, Mattias O'Nils
2017	—	`conf`	Evaluating Pre-Processing Pipelines for Thermal-Visual Smart Camera. ICDSC Irida Shallari, Muhammad Imran, Najeem Lawal, Mattias O'Nils