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Irida Shallari

Assistant Professor

Mid Sweden University

Sweden

Research Interests

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About

Irida Shallari is an Assistant Professor at Mid Sweden University, Sweden. Her research areas encompass deep learning, LiDAR technology, IoT systems, and autonomous guidance systems, as reflected in her recent publications. Notable works include investigations into advertisement detection using deep learning and the optimization of feature map quantization in deep neural networks.

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SWEDEN

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Consolatina Liguori

University of Salerno

ITALY

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Irida Shallari

Research Interests

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Articles (22)

Robustness Analysis of Vision-Based Depth Measurement Under Mechanical Vibrations

BranchySplit: Runtime-Adaptable Partitioning and Early Exits for Accelerated Edge Inference

CO-NAS: Joint Neural Architecture Search for Compression, Quantization, and Edge–Cloud Model Offloading

Self-Attention Enhanced Student–Teacher Framework for Visual Anomaly Detection in Industrial Images

Perception–Performance Gap in Generative AI: An Exploratory Study Across Two Engineering Education Contexts

A Transfer Learning CNN approach for automated Plant Growth Temporal Labelling: Addressing Class-Based Variability Paradox and introducing novel metrics

AdAPT: Advertisement detector adaptation under newspaper domain shift with null-based pseudo-labeling

TCL: Time-Dependent Clustering Loss for Optimizing Post-Training Feature Map Quantization for Partitioned DNNs

AdVision: An efficient and effective deep learning based advertisement detector for printed media

Cross-Section-Based Method for LiDAR Dataset Generation with Multipath-Resilient Ground Truth

Efficient Inference of parallel partitioned hybrid-Vision Transformers

Quantization Compensator Network: Server-Side Feature Reconstruction in Partitioned IoT Systems

INVITED: Optimizing IoT Node Design for Edge Computing Applications

Addressing Contextual Factors in ArUco Marker-Based Distance Estimation: A Machine Learning Approach

From mAP to Statistical Metrics: A New Paradigm for Evaluating Model Accuracy in Metrology

Model Evaluation and Selection for Robust and Efficient Advertisement Detection in Print Media

Robust Distance Estimation Using LiDAR-Guided Deep Learning for Assistive Mobility

Design and Characterization of a Powered Wheelchair Autonomous Guidance System

A Study on the Correlation between Change in the Geometrical Dimension of a Free-Falling Molten Glass Gob and Its Viscosity

Impact of Input Data on Intelligence Partitioning Decisions for IoT Smart Camera Nodes

Design Space Exploration for an IoT Node: Trade-Offs in Processing and Communication

Communication and computation inter-effects in people counting using intelligence partitioning

Collaborators (9)

Jan Lundgren

Mattias O'Nils

Mazhar Hussain

Axel Jantsch

Silvia Krug

Consolatina Liguori

Gabriele Patrizi

Faisal Z. Qureshi

Lorenzo Ciani

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