Content-based image retrieval of centroblast cells and noncentroblast cells in Follicular lymphoma. - Yagmur Gizem Cinar; Hatice Çinar Akakin; Metin Nafi Gürcan (SIU, 2012)

Inferring User Interests on Social Media from Text and Images. - Yagmur Gizem Cinar; Susana Zoghbi; Marie-Francine Moens (ICDM Workshops, 2015)

Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs. - Yagmur Gizem Cinar; Hamid Mirisaee; Parantapa Goswami; Éric Gaussier; Ali Aït-Bachir; Vadim V. Strijov (ICONIP (5), 2017)

Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values. - Yagmur Gizem Cinar; Hamid Mirisaee; Parantapa Goswami; Éric Gaussier; Ali Aït-Bachir; Vadim V. Strijov (CoRR, 2017)

Online metrics prediction in monitoring systems. - Matthieu Caneill; Noel De Palma; Ali Aït-Bachir; Bastien Dine; Rachid Mokhtari; Yagmur Gizem Cinar (INFOCOM Workshops, 2018)

Period-aware content attention RNNs for time series forecasting with missing values. - Yagmur Gizem Cinar; Hamid Mirisaee; Parantapa Goswami; Éric Gaussier; Ali Aït-Bachir (Neurocomputing, 2018)

Word Representations Concentrate and This is Good News! - Romain Couillet; Yagmur Gizem Cinar; Éric Gaussier; Muhammad Imran (CoNLL, 2020)

Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Personalized Recommendation. - Yagmur Gizem Cinar; Jean-Michel Renders (RecSys, 2020)

Modelling document-query interaction in a hierarchical neural model for IR. - Johan Chagnon; Diana Nicoleta Popa; Yagmur Gizem Cinar; Éric Gaussier (CORIA, 2021)

SmoothI: Smooth Rank Indicators for Differentiable IR Metrics. - Thibaut Thonet; Yagmur Gizem Cinar; Éric Gaussier; Minghan Li 003; Jean-Michel Renders (CoRR, 2021)

Listwise Learning to Rank Based on Approximate Rank Indicators. - Thibaut Thonet; Yagmur Gizem Cinar; Éric Gaussier; Minghan Li 003; Jean-Michel Renders (AAAI, 2022)

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. - Minghan Li 003; Diana Nicoleta Popa; Johan Chagnon; Yagmur Gizem Cinar; Éric Gaussier (ACM Trans. Inf. Syst., 2023)

Probabilistic Feature Matching for Fast Scalable Visual Prompting. - Thomas Frick; Cezary Skura; Filip Janicki; Roy Assaf; Niccolò Avogaro; Daniel Caraballo; Yagmur Gizem Cinar; Brown Ebouky; Ioana Giurgiu; Takayuki Katsuki; Piotr Kluska; Cristiano Malossi; et al. (IJCAI, 2024)

VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation. - Niccolò Avogaro; Thomas Frick; Yagmur Gizem Cinar; Daniel Caraballo; Cezary Skura; Filip Janicki; Piotr Kluska; Brown Ebouky; Nicola Farronato; Florian Scheidegger; Cristiano Malossi; Konrad Schindler; et al. (CoRR, 2025)