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Yagmur Gizem Cinar
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2020 – today
- 2024
- [c10]Thomas Frick, Cezary Skura, Filip Janicki, Roy Assaf, Niccolo Avogaro, Daniel Caraballo, Yagmur Gizem Cinar, Brown Ebouky, Ioana Giurgiu, Takayuki Katsuki, Piotr Kluska, Cristiano Malossi, Haoxiang Qiu, Tomoya Sakai, Florian Scheidegger, Andrej Simeski, Daniel Yang, Andrea Bartezzaghi, Mattia Rigotti:
Probabilistic Feature Matching for Fast Scalable Visual Prompting. IJCAI 2024: 8648-8652 - 2023
- [j2]Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. ACM Trans. Inf. Syst. 41(3): 73:1-73:35 (2023) - [c9]Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. CORIA-TALN 2023: 213 - 2022
- [c8]Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders:
Listwise Learning to Rank Based on Approximate Rank Indicators. AAAI 2022: 8494-8502 - 2021
- [c7]Johan Chagnon, Diana Nicoleta Popa, Yagmur Gizem Cinar, Éric Gaussier:
Modelling document-query interaction in a hierarchical neural model for IR. CORIA 2021 - [i3]Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders:
SmoothI: Smooth Rank Indicators for Differentiable IR Metrics. CoRR abs/2105.00942 (2021) - [i2]Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Éric Gaussier:
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. CoRR abs/2111.09852 (2021) - 2020
- [c6]Romain Couillet, Yagmur Gizem Cinar, Éric Gaussier, Muhammad Imran:
Word Representations Concentrate and This is Good News! CoNLL 2020: 325-334 - [c5]Yagmur Gizem Cinar, Jean-Michel Renders:
Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Personalized Recommendation. RecSys 2020: 414-419
2010 – 2019
- 2018
- [j1]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir:
Period-aware content attention RNNs for time series forecasting with missing values. Neurocomputing 312: 177-186 (2018) - [c4]Matthieu Caneill, Noel De Palma, Ali Aït-Bachir, Bastien Dine, Rachid Mokhtari, Yagmur Gizem Cinar:
Online metrics prediction in monitoring systems. INFOCOM Workshops 2018: 226-231 - 2017
- [c3]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov:
Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs. ICONIP (5) 2017: 533-544 - [i1]Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov:
Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values. CoRR abs/1703.10089 (2017) - 2015
- [c2]Yagmur Gizem Cinar, Susana Zoghbi, Marie-Francine Moens:
Inferring User Interests on Social Media from Text and Images. ICDM Workshops 2015: 1342-1347 - 2012
- [c1]Yagmur Gizem Cinar, Hatice Çinar Akakin, Metin Nafi Gürcan:
Content-based image retrieval of centroblast cells and noncentroblast cells in Follicular lymphoma. SIU 2012: 1-4
Coauthor Index
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last updated on 2024-10-21 20:28 CEST by the dblp team
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