:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Barašin, Irina, Bertalanič, Blaž, Mohorčič, Mihael, Fortuna, Carolina
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2411.14904
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Kolmogorov–Arnold Networks for Interpretable Time Series Classification
by: Irina Barašin, et al.
Published: (2025)

A Network Science Approach to Granular Time Series Segmentation
by: Kesić, Ivana, et al.
Published: (2025)

Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances
by: Pirnat, Anže, et al.
Published: (2023)

Data Model Design for Explainable Machine Learning-based Electricity Applications
by: Fortuna, Carolina, et al.
Published: (2025)

XAI for Self-supervised Clustering of Wireless Spectrum Activity
by: Milosheski, Ljupcho, et al.
Published: (2023)

Deep Feature Learning for Wireless Spectrum Data
by: Milosheski, Ljupcho, et al.
Published: (2023)

Self-supervised Learning for Clustering of Wireless Spectrum Activity
by: Milosheski, Ljupcho, et al.
Published: (2022)

Automated Modeling Method for Pathloss Model Discovery
by: Anaqreh, Ahmad, et al.
Published: (2025)

Graph Neural Networks Based Anomalous RSSI Detection
by: Bertalanič, Blaž, et al.
Published: (2025)

Towards Data-Driven Electricity Management: Multi-Region Harmonized Data and Knowledge Graph
by: Hanžel, Vid, et al.
Published: (2024)

A Configuration-First Framework for Reproducible, Low-Code Localization
by: Strnad, Tim, et al.
Published: (2025)

Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin
by: Fortuna, Carolina, et al.
Published: (2024)

JaGuard: Position Error Correction of GNSS Jamming with Deep Temporal Graphs
by: Kesić, Ivana, et al.
Published: (2025)

MRM3: Machine Readable ML Model Metadata
by: Čop, Andrej, et al.
Published: (2025)

The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks
by: Chou, Shih-Kai, et al.
Published: (2024)

A Representation Learning Approach to Feature Drift Detection in Wireless Networks
by: Tziouvaras, Athanasios, et al.
Published: (2025)

The Cost of Consensus: Isolated Self-Correction Prevails Over Unguided Homogeneous Multi-Agent Debate
by: Bertalanič, Blaž, et al.
Published: (2026)

Towards Reliable AI in 6G: Detecting Concept Drift in Wireless Network
by: Tziouvaras, Athanasios, et al.
Published: (2025)

An Overview and Solution for Democratizing AI Workflows at the Network Edge
by: Čop, Andrej, et al.
Published: (2024)

Spectrum Sensing with Deep Clustering: Label-Free Radio Access Technology Recognition
by: Milosheski, Ljupcho, et al.
Published: (2025)

Interpretable Clinical Classification with Kolmogorov-Arnold Networks
by: Almodóvar, Alejandro, et al.
Published: (2025)

Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability
by: Xu, Kunpeng, et al.
Published: (2024)

iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
by: Liang, Ziran, et al.
Published: (2025)

Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
by: Dong, Chang, et al.
Published: (2024)

Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimation
by: Milosheski, Ljupcho, et al.
Published: (2026)

Design Principles of Zero-Shot Self-Supervised Unknown Emitter Detectors
by: Krasnov, Mikhail, et al.
Published: (2025)

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
by: Vaca-Rubio, Cristian J., et al.
Published: (2024)

Kolmogorov-Arnold Networks for Time Series Granger Causality Inference
by: Liu, Meiliang, et al.
Published: (2025)

Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks
by: Bhattacharya, Abhiroop, et al.
Published: (2024)

SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series
by: Inzirillo, Hugo, et al.
Published: (2024)

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
by: Zhou, Quan, et al.
Published: (2024)

A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting
by: Genet, Remi, et al.
Published: (2024)

TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting
by: Hong, Young-Chae, et al.
Published: (2025)

Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation
by: Tran, Van Duy, et al.
Published: (2024)

Probabilistic Kolmogorov-Arnold Network
by: Polar, Andrew, et al.
Published: (2021)

Variational Kolmogorov-Arnold Network
by: Alesiani, Francesco, et al.
Published: (2025)

A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
by: Vaca-Rubio, Cristian J., et al.
Published: (2025)

Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks
by: Zu, Gen, et al.
Published: (2026)

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification
by: Cruz, Gonçalo Granjal, et al.
Published: (2025)

Multifidelity Kolmogorov-Arnold Networks
by: Howard, Amanda A., et al.
Published: (2024)