Zobrazeno 1 - 10
of 23 101
pro vyhledávání: '"Aksu, A."'
Time series forecasting aids decision-making, especially for stakeholders who rely on accurate predictions, making it very important to understand and explain these models to ensure informed decisions. Traditional explainable AI (XAI) methods, which
Externí odkaz:
http://arxiv.org/abs/2410.14180
Autor:
Liu, Xu, Liu, Juncheng, Woo, Gerald, Aksu, Taha, Liang, Yuxuan, Zimmermann, Roger, Liu, Chenghao, Savarese, Silvio, Xiong, Caiming, Sahoo, Doyen
Time series foundation models have demonstrated impressive performance as zero-shot forecasters. However, achieving effectively unified training on time series remains an open challenge. Existing approaches introduce some level of model specializatio
Externí odkaz:
http://arxiv.org/abs/2410.10469
Autor:
Aksu, Taha, Woo, Gerald, Liu, Juncheng, Liu, Xu, Liu, Chenghao, Savarese, Silvio, Xiong, Caiming, Sahoo, Doyen
Time series foundation models excel in zero-shot forecasting, handling diverse tasks without explicit training. However, the advancement of these models has been hindered by the lack of comprehensive benchmarks. To address this gap, we introduce the
Externí odkaz:
http://arxiv.org/abs/2410.10393
NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction
Click-through-rate (CTR) prediction plays an important role in online advertising and ad recommender systems. In the past decade, maximizing CTR has been the main focus of model development and solution creation. Therefore, researchers and practition
Externí odkaz:
http://arxiv.org/abs/2409.08703
Autor:
Guarrasi, Valerio, Aksu, Fatih, Caruso, Camillo Maria, Di Feola, Francesco, Rofena, Aurora, Ruffini, Filippo, Soda, Paolo
Deep learning has revolutionized biomedical research by providing sophisticated methods to handle complex, high-dimensional data. Multimodal deep learning (MDL) further enhances this capability by integrating diverse data types such as imaging, textu
Externí odkaz:
http://arxiv.org/abs/2408.02686
Autor:
Aksu, Taha, Chen, Nancy F.
Current metrics for evaluating Dialogue State Tracking (DST) systems exhibit three primary limitations. They: i) erroneously presume a uniform distribution of slots throughout the dialog, ii) neglect to assign partial scores for individual turns, iii
Externí odkaz:
http://arxiv.org/abs/2403.11123
We investigate the structural properties of binary linear codes whose permutation automorphism group has a fixed point free automorphism of order $3$. We prove that up to dimension or codimension $4$, there is no binary linear code whose permutation
Externí odkaz:
http://arxiv.org/abs/2402.10667
Autor:
Le, Nam, Zhang, Honglei, Cricri, Francesco, Youvalari, Ramin G., Tavakoli, Hamed Rezazadegan, Aksu, Emre, Hannuksela, Miska M., Rahtu, Esa
Publikováno v:
IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022, pp. 3411-3415
Image coding for machines (ICM) aims at reducing the bitrate required to represent an image while minimizing the drop in machine vision analysis accuracy. In many use cases, such as surveillance, it is also important that the visual quality is not dr
Externí odkaz:
http://arxiv.org/abs/2401.10732
Autor:
Aksu, Hidayet, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Sealfon, Adam, Varadarajan, Avinash V
The Privacy Sandbox Attribution Reporting API has been recently deployed by Google Chrome to support the basic advertising functionality of attribution reporting (aka conversion measurement) after deprecation of third-party cookies. The API implement
Externí odkaz:
http://arxiv.org/abs/2311.13586
Autor:
Sadigov, A., Ahmadov, F., Ahmadov, G., Aksu, E., Berikov, D., Nuruyev, S., Akbarov, R., Holik, M., Nagiyev, J., Guner, S. Gurbuz, Mammadli, A., Suleymanova, N., Abbasova, C., Melikova, S., Yilmaz, E., Tagiyev, O., Lyubchyk, S., Sadygov, Z.
This paper presents a newly developed plastic scintillator produced in collaboration with Turkiye Energy, Nuclear and Mineral Research Agency (TENMAK). The scintillator is manufactured using thermal polymerization of commercially available styrene mo
Externí odkaz:
http://arxiv.org/abs/2309.06878