Ibrahim Delibasoglu

18 papers A* 1C 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies. AAAI Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz, Mattias Tiger
2026	J	`jnl`	Scaling transformers for time series forecasting: do pretrained large models outperform small-scale alternatives? Artif. Intell. Rev. Sanjay Chakraborty, Ibrahim Delibasoglu, Fredrik Heintz
2026	J	`jnl`	Spectral Manifold Regularization for Stable and Modular Routing in Deep MoE Architectures. CoRR Ibrahim Delibasoglu
2025	J	`jnl`	Learning Temporal Saliency for Time Series Forecasting with Cross-Scale Attention. CoRR Ibrahim Delibasoglu, Fredrik Heintz
2025	J	`jnl`	Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? CoRR Sanjay Chakraborty, Ibrahim Delibasoglu, Fredrik Heintz
2024	J	`jnl`	EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions. CoRR Sanjay Chakraborty, Ibrahim Delibasoglu, Fredrik Heintz
2024	J	`jnl`	LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting. CoRR Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz
2024	J	`jnl`	Motion-aware object tracking for aerial images with deep features and discriminative correlation filter. Multim. Tools Appl. Ibrahim Delibasoglu
2024	C	`conf`	Time Series Anomaly Detection Leveraging MSE Feedback with AutoEncoder and RNN. TIME Ibrahim Delibasoglu, Fredrik Heintz
2023	J	`jnl`	Moving object detection method with motion regions tracking in background subtraction. Signal Image Video Process. Ibrahim Delibasoglu
2022	J	`jnl`	Motion detection in moving camera videos using background modeling and FlowNet. J. Vis. Commun. Image Represent. Ibrahim Delibasoglu, Irfan Kösesoy, Muhammed Kotan, Feyza Selamet
2022	—	`conf`	PESMOD: Small Moving Object Detection Benchmark Dataset for Moving Cameras. ICFSP Ibrahim Delibasoglu
2021	J	`jnl`	INCSA-UNET INCSA-UNET: Spatial Attention Inception UNET for Aerial Images Segmentation. Comput. Informatics Ibrahim Delibasoglu
2021	J	`jnl`	Real-time motion detection with candidate masks and region growing for moving cameras. J. Electronic Imaging Ibrahim Delibasoglu
2021	J	`jnl`	UAV Images Dataset for Moving Object Detection from Moving Cameras. CoRR Ibrahim Delibasoglu
2020	—	`conf`	Building segmentation with Inception-Unet and classical methods. SIU Ibrahim Delibasoglu, Müfit Çetin
2020	—	`—`	U-net tabanlı evrişimli sinir ağı ile uzaktan algılanmış görüntülerden otomatik bina tespiti (Automatic building detection from remotely sensed images with u-net based convolutional neural network) Ibrahim Delibasoglu
2011	—	`conf`	ECG based sleep apnea detection using wavelet analysis of instantaneous heart rates. ISABEL Ibrahim Delibasoglu, Cafer Avci, Ahmet Akbas