output
20052026
most citedDermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

176 citations

23 papers

cs.CV2026

Can Unsupervised Methods Outperform Supervised Deep Learning When Ground Truth Is Sparse? A Case Study of Bronchovascular Bundle Segmentation in Low-Dose CT

Anna Mrukwa, Marek Socha, Aleksandra Suwalska +9

Background Lung cancer remains the deadliest cancer worldwide because it is often diagnosed too late. Effective treatment depends on detection at an early screening stage. However,…

cs.AI2026

Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis

Rafał Buler, Jakub Buler, Maciej Bobowicz +1

Relational inductive biases are essential for capturing structural dependencies among data. This study investigates a dual-level relational framework for image classification, brid…

cs.AI2026

Engineering Reasoning and Instruction (ERI) Benchmark: A Large Taxonomy-driven Dataset for Foundation Models and Agents

MZ Naser, Ahmad Bani Awwad, Zoie McCreery +8

The Engineering Reasoning and Instruction (ERI) benchmark is a taxonomy-driven instruction dataset designed to train and evaluate engineering-capable large language models (LLMs) a…

eess.SP2025

Surface EMG Profiling in Parkinson's Disease: Advancing Severity Assessment with GCN-SVM

Daniel Cieślak, Barbara Szyca, Weronika Bajko +10

Parkinson's disease (PD) poses challenges in diagnosis and monitoring due to its progressive nature and complex symptoms. This study introduces a novel approach utilizing surface e…

eess.SP2025

Multitaper-Based Post-Processing of Compact Antenna Responses Obtained in Non-Anechoic Conditions

Mariusz Dzwonkowski, Adrian Bekasiewicz, Slawomir Koziel

The process of developing antenna structures typically involves prototype measurements. While accurate validation of far-field performance can be performed in dedicated facilities…

math.NA2025★ 5 cited

Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure

Adrian Bekasiewicz, Mariusz Dzwonkowski, Tom Dhaene +1

Design of antennas for modern applications is a challenging task that combines cognition-driven development of topology intertwined with tuning of its parameters using rigorous num…