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

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski