Diyar Altinses

12 papers C 4Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Layer-Specific Lipschitz Modulation for Fault-Tolerant Multimodal Representation Learning.
CoRR
Diyar Altinses, Andreas Schwung
2026 J jnl
Lipschitz-controlled attention fusion for stable multimodal autoencoders in industrial robotics and manufacturing.
Expert Syst. Appl.
Diyar Altinses, Andreas Schwung
2026 J jnl
Non-destructive evaluation of material hardness using micromagnetic sensors and complex neural networks.
Appl. Intell.
Diyar Altinses, David Orlando Salazar Torres, Viktor Holstein, Matthias Hermes, Andreas Schwung
2026 J jnl
Prior-Informed Neural Network Initialization: A Spectral Approach for Function Parameterizing Architectures.
CoRR
David Orlando Salazar Torres, Diyar Altinses, Andreas Schwung
2025 C conf
Bridging the Gap Between Simulations and Reality: A CycleGAN-Based Approach for Drone Landing Systems.
CoDIT
Diyar Altinses, David Orlando Salazar Torres, Andreas Schwung
2025 — conf
Data Imputation Techniques Using the Bag of Functions: Addressing Variable Input Lengths and Missing Data in Time Series Decomposition.
ICIT
David Orlando Salazar Torres, Diyar Altinses, Andreas Schwung
2025 C conf
Enhancing Fault Tolerance in Multimodal Learning: A VAE-Based Approach with Probabilistic Fusion.
CoDIT
Diyar Altinses, Andreas Schwung
2025 — conf
Neural Data Fusion Enhanced PD Control for Precision Drone Landing in Synthetic Environments.
ICM
Diyar Altinses, David Orlando Salazar Torres, Stefan Lier, Andreas Schwung
2025 J jnl
Stabilizing Multimodal Autoencoders: A Theoretical and Empirical Analysis of Fusion Strategies.
CoRR
Diyar Altinses, Andreas Schwung
2025 J jnl
Toward more effective bag-of-functions architectures: Exploring initialization and sparse parameter representation.
Knowl. Based Syst.
David Orlando Salazar Torres, Diyar Altinses, Andreas Schwung
2023 C conf
Deep Multimodal Fusion with Corrupted Spatio-Temporal Data Using Fuzzy Regularization.
IECON
Diyar Altinses, Andreas Schwung
2023 C conf
Multimodal Synthetic Dataset Balancing: a Framework for Realistic and Balanced Training Data Generation in Industrial Settings.
IECON
Diyar Altinses, Andreas Schwung