Denizhan Kara
Orcid: 0009-0006-2520-4941
According to our database1,
Denizhan Kara
authored at least 18 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
The bottlenecks of AI: challenges for embedded and real-time research in a data-centric age.
Real Time Syst., June, 2025
OpenMAE: Efficient Masked Autoencoder for Vibration Sensing with Open-domain Data Enrichment.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., June, 2025
SPAR: Self-supervised Placement-Aware Representation Learning for Multi-Node IoT Systems.
CoRR, May, 2025
InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals.
Proceedings of the ACM on Web Conference 2025, 2025
DynaGen: Conditional Diffusion Models for Enhancing Acoustic and Seismic-Based Vehicle Detection.
Proceedings of the IEEE INFOCOM 2025, 2025
Perturbation-Based Graph Active Learning for Semi-Supervised Belief Representation Learning.
Proceedings of the 34th International Conference on Computer Communications and Networks, 2025
The Irrational LLM: Implementing Cognitive Agents with Weighted Retrieval-Augmented Generation.
Proceedings of the 34th International Conference on Computer Communications and Networks, 2025
Proceedings of the 34th International Conference on Computer Communications and Networks, 2025
2024
Requiem for a drone: a machine-learning based framework for stealthy attacks against unmanned autonomous vehicles.
CoRR, 2024
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024
Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024
2023
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023
2022
The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example.
Proceedings of the IEEE Military Communications Conference, 2022