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- Sihem Amer-Yahia
IMAG, Grenoble, France
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Publication search results
found 286 matches
- 2024
- Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia:
Loss Compensation in Multi-Session Recommendation Under Limited Availability. EDBT 2024: 522-533 - Yun Wang, Chrysanthi Kosyfaki, Sihem Amer-Yahia, Reynold Cheng:
A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs. CoRR abs/2403.13286 (2024) - 2023
- Anis El Rabaa, Shady Elbassuoni, Jihad Hanna, Amer E. Mouawad, Ayham Olleik, Sihem Amer-Yahia:
A Framework to Maximize Group Fairness for Workers on Online Labor Platforms. Data Sci. Eng. 8(2): 146-176 (2023) - Divyakant Agrawal, Sihem Amer-Yahia, K. Selcuk Candan:
PACMMOD V1 N1 Editorial - Welcome to PACMMOD. Proc. ACM Manag. Data 1(1): 1:1-1:8 (2023) - Divyakant Agrawal, Sihem Amer-Yahia, K. Selçuk Candan, Avrilia Floratou, Hakan Hacigümüs:
PACMMOD V1 N2 Editorial. Proc. ACM Manag. Data 1(2): 112:1-112:2 (2023) - Vicente Nejar de Almeida, Eduardo Ribeiro, Nassim Bouarour, João Luiz Dihl Comba, Sihem Amer-Yahia:
SHEVA: A Visual Analytics System for Statistical Hypothesis Exploration. Proc. VLDB Endow. 16(12): 4102-4105 (2023) - Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Gillian Dobbie, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang:
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. 52(2): 38-42 (2023) - Sihem Amer-Yahia, Angela Bonifati, Lei Chen, Guoliang Li, Kyuseok Shim, Jianliang Xu, Xiaochun Yang:
From Large Language Models to Databases and Back: A Discussion on Research and Education. SIGMOD Rec. 52(3): 49-56 (2023) - Md Mouinul Islam, Mahsa Asadi, Sihem Amer-Yahia, Senjuti Basu Roy:
A generic framework for efficient computation of top-k diverse results. VLDB J. 32(4): 737-761 (2023) - Sepideh Nikookar, Mohammadreza Esfandiari, Ria Mae Borromeo, Paras Sakharkar, Sihem Amer-Yahia, Senjuti Basu Roy:
Diversifying recommendations on sequences of sets. VLDB J. 32(2): 283-304 (2023) - Sihem Amer-Yahia, Patrick Marcel, Verónika Peralta:
Data Narration for the People: Challenges and Opportunities. EDBT 2023: 855-858 - Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - Sudipto Das, Ippokratis Pandis, K. Selçuk Candan, Sihem Amer-Yahia:
Companion of the 2023 International Conference on Management of Data, SIGMOD/PODS 2023, Seattle, WA, USA, June 18-23, 2023. ACM 2023, ISBN 978-1-4503-9507-6 [contents] - Sihem Amer-Yahia, Angela Bonifati, Lei Chen, Guoliang Li, Kyuseok Shim, Jianliang Xu, Xiaochun Yang:
From Large Language Models to Databases and Back: A discussion on research and education. CoRR abs/2306.01388 (2023) - 2022
- Sihem Amer-Yahia, Arnaud Soulet:
Preface. Data Knowl. Eng. 142: 102101 (2022) - Son T. Mai, Jon Jacobsen, Sihem Amer-Yahia, Ivor T. A. Spence, Nhat-Phuong Tran, Ira Assent, Quoc Viet Hung Nguyen:
Incremental Density-Based Clustering on Multicore Processors. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1338-1356 (2022) - Sihem Amer-Yahia:
Towards AI-Powered Data-Driven Education. Proc. VLDB Endow. 15(12): 3798-3806 (2022) - Dujian Ding, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
On Efficient Approximate Queries over Machine Learning Models. Proc. VLDB Endow. 16(4): 918-931 (2022) - Aurélien Personnaz, Brit Youngmann, Sihem Amer-Yahia:
EDA4SUM: Guided Exploration of Data Summaries. Proc. VLDB Endow. 15(12): 3590-3593 (2022) - Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz:
Guided Exploration of Data Summaries. Proc. VLDB Endow. 15(9): 1798-1807 (2022) - Sihem Amer-Yahia, Angela Bonifati, Cécile Favre, Élisa Fromont, Nicolas Labroche, Guy Melançon, Florence Sèdes, Arnaud Soulet, Alexandre Termier:
Diversity and Inclusion Activities in EGC - A 2022 Report. SIGKDD Explor. 24(1): 52-56 (2022) - Sihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-Gajic, Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Meihui Zhang:
Diversity and Inclusion Activities in Database Conferences: A 2021 Report. SIGMOD Rec. 51(2): 69-73 (2022) - Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Optimizing Data Coverage and Significance in Multiple Hypothesis Testing on User Groups. Trans. Large Scale Data Knowl. Centered Syst. 51: 64-96 (2022) - Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Learning Diversity Attributes in Multi-Session Recommendations. IEEE Big Data 2022: 465-474 - Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia:
SoCRATe: A Recommendation System with Limited-Availability Items. CIKM 2022: 4793-4797 - Behrooz Omidvar-Tehrani, Aurélien Personnaz, Sihem Amer-Yahia:
Guided Text-based Item Exploration. CIKM 2022: 3410-3420 - Sotirios Tzamaras, Radu Ciucanu, Marta Soare, Sihem Amer-Yahia:
FeReD: Federated Reinforcement Learning in the DBMS. CIKM 2022: 4989-4993 - Radu Ciucanu, Marta Soare, Sihem Amer-Yahia:
Implementing Linear Bandits in Off-the-Shelf SQLite. EDBT 2022: 2:388-2:392 - Gaël Marcadet, Radu Ciucanu, Pascal Lafourcade, Marta Soare, Sihem Amer-Yahia:
Samba: A System for Secure Federated Multi-Armed Bandits. ICDE 2022: 3154-3157 - Sepideh Nikookar, Paras Sakharkar, Baljinder Smagh, Sihem Amer-Yahia, Senjuti Basu Roy:
Guided Task Planning Under Complex Constraints. ICDE 2022: 833-845
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