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- affiliation: IMAG, Grenoble, France
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2020 – today
- 2025
[e19]Atsuyuki Morishima
, Guoliang Li, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications. DASFAA 2024 International Workshops - BDMS, GDMA, BDQM and ERDSE, Gifu, Japan, July 2-5, 2024, Proceedings. Lecture Notes in Computer Science 14667, Springer 2025, ISBN 978-981-96-0913-0 [contents]- [e18]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14851, Springer 2025, ISBN 978-981-97-5778-7 [contents] - [e17]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14852, Springer 2025, ISBN 978-981-97-5554-7 [contents] - 2024
- [j104]Yun Wang, Chrysanthi Kosyfaki, Sihem Amer-Yahia, Reynold Cheng:
A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs. Proc. VLDB Endow. 17(11): 3192-3200 (2024) - [j103]Sihem Amer-Yahia:
Intelligent Agents for Data Exploration. Proc. VLDB Endow. 17(12): 4521-4530 (2024) - [j102]Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou:
Front Matter. Proc. VLDB Endow. 17(12) (2024) - [j101]Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Jinli Cao, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Stratos Idreos, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Fatma Özcan, Liat Peterfreund, Soror Sahri, Sana Sellami, Roee Shraga, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Genoveva Vargas-Solar, Meihui Zhang, Wenjie Zhang:
Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report. SIGMOD Rec. 53(2): 63-67 (2024) - [j100]Daphne Miedema, Efthimia Aivaloglou, Sihem Amer-Yahia, George Fletcher, Michael Mior, Toni Taipalus:
Report on the Second International Workshop on DataSystems Education (DataEd '23). SIGMOD Rec. 53(3): 35-39 (2024) - [j99]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Multi-objective Test Recommendation for Adaptive Learning. Trans. Large Scale Data Knowl. Centered Syst.: 1-36 (2024) - [c153]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 - [c152]Antonis Mandamadiotis, Georgia Koutrika, Sihem Amer-Yahia:
Guided SQL-Based Data Exploration with User Feedback. ICDE 2024: 4884-4896 - [c151]Stavroula Eleftherakis, Georgia Koutrika, Sihem Amer-Yahia:
Optimizing Neighborhoods for Fair Top-N Recommendation. UMAP 2024: 57-66 - [e16]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14850, Springer 2024, ISBN 978-981-97-5551-6 [contents] - [e15]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14853, Springer 2024, ISBN 978-981-97-5561-5 [contents] - [e14]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14854, Springer 2024, ISBN 978-981-97-5568-4 [contents] - [e13]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14855, Springer 2024, ISBN 978-981-97-5571-4 [contents] - [e12]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14856, Springer 2024, ISBN 978-981-97-5574-5 [contents] - [i20]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
- [j98]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) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [c150]Nassim Bouarour, Idir Benouaret, Cédric D'Ham, Sihem Amer-Yahia:
Adaptive Test Recommendation for Mastery Learning. DataEd@SIGMOD 2023 - [c149]Sihem Amer-Yahia, Patrick Marcel, Verónika Peralta:
Data Narration for the People: Challenges and Opportunities. EDBT 2023: 855-858 - [c148]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 - [e11]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] - [i19]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
- [j90]Sihem Amer-Yahia, Arnaud Soulet:
Preface. Data Knowl. Eng. 142: 102101 (2022) - [j89]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) - [j88]Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz:
Guided Exploration of Data Summaries. Proc. VLDB Endow. 15(9): 1798-1807 (2022) - [j87]Aurélien Personnaz, Brit Youngmann, Sihem Amer-Yahia:
EDA4SUM: Guided Exploration of Data Summaries. Proc. VLDB Endow. 15(12): 3590-3593 (2022) - [j86]Sihem Amer-Yahia:
Towards AI-Powered Data-Driven Education. Proc. VLDB Endow. 15(12): 3798-3806 (2022) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [c147]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Learning Diversity Attributes in Multi-Session Recommendations. IEEE Big Data 2022: 465-474 - [c146]Behrooz Omidvar-Tehrani, Aurélien Personnaz, Sihem Amer-Yahia:
Guided Text-based Item Exploration. CIKM 2022: 3410-3420 - [c145]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 - [c144]Sotirios Tzamaras, Radu Ciucanu, Marta Soare, Sihem Amer-Yahia:
FeReD: Federated Reinforcement Learning in the DBMS. CIKM 2022: 4989-4993 - [c143]Radu Ciucanu, Marta Soare, Sihem Amer-Yahia:
Implementing Linear Bandits in Off-the-Shelf SQLite. EDBT 2022: 2:388-2:392 - [c142]Sepideh Nikookar, Paras Sakharkar, Baljinder Smagh, Sihem Amer-Yahia, Senjuti Basu Roy:
Guided Task Planning Under Complex Constraints. ICDE 2022: 833-845 - [c141]Gaël Marcadet, Radu Ciucanu, Pascal Lafourcade, Marta Soare, Sihem Amer-Yahia:
Samba: A System for Secure Federated Multi-Armed Bandits. ICDE 2022: 3154-3157 - [c140]Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Letizia Tanca, Sihem Amer-Yahia:
SoCRATe: a Framework for Compensating Users Over Time with Limited Availability Recommendations. SEBD 2022: 538-545 - [c139]Yogendra Patil, Sihem Amer-Yahia, Srividya Subramanian:
Designing the evaluation of operator-enabled interactive data exploration in VALIDE. HILDA@SIGMOD 2022: 4:1-4:7 - [c138]Sihem Amer-Yahia, Sourav S. Bhowmick, Xin Luna Dong, Stratos Idreos, Wolfgang Lehner, Divesh Srivastava:
Publication Culture and Review Processes in the Data Management Community: An Open Discussion. SIGMOD Conference 2022: 2501-2502 - [c137]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Significance and Coverage in Group Testing on the Social Web. WWW 2022: 3052-3060 - [e10]Sihem Amer-Yahia, Arnaud Soulet:
Extraction et Gestion des Connaissances, EGC 2022, Blois, France, 24 au 28 janvier 2022. RNTI E-38, Editions RNTI 2022, ISBN 979-10-96289-16-5 [contents] - [i18]Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz:
Guided Exploration of Data Summaries. CoRR abs/2205.13956 (2022) - [i17]Dujian Ding, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
On Efficient Approximate Queries over Machine Learning Models. CoRR abs/2206.02845 (2022) - 2021
- [j81]Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, Sihem Amer-Yahia, José F. Rodrigues Jr.:
DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage. Comput. Electron. Agric. 180: 105906 (2021) - [j80]José F. Rodrigues Jr., Marco A. Gutierrez, Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia:
LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. Inf. Sci. 545: 813-827 (2021) - [j79]Jamil Zaghir, José F. Rodrigues Jr., Lorraine Goeuriot, Sihem Amer-Yahia:
Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts. J. Heal. Informatics Res. 5(4): 474-496 (2021) - [j78]Masaki Matsubara, Ria Mae Borromeo, Sihem Amer-Yahia, Atsuyuki Morishima:
Task Assignment Strategies for Crowd Worker Ability Improvement. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 375:1-375:20 (2021) - [j77]Sihem Amer-Yahia, Georgia Koutrika, Martin Braschler, Diego Calvanese, Davide Lanti, Hendrik Lücke-Tieke, Alessandro Mosca, Tarcisio Mendes de Farias, Dimitris Papadopoulos, Yogendra Patil, Guillem Rull, Ellery Smith, Dimitrios Skoutas, Srividya Subramanian, Kurt Stockinger:
INODE: Building an End-to-End Data Exploration System in Practice. SIGMOD Rec. 50(4): 23-29 (2021) - [j76]Daniel Mario de Lima, José F. Rodrigues Jr., Bruno Brandoli, Lorraine Goeuriot, Sihem Amer-Yahia:
DermaDL: Advanced Convolutional Neural Networks for Computer-Aided Skin-Lesion Classification. SN Comput. Sci. 2(4): 253 (2021) - [j75]Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia:
User-Driven Geolocated Event Detection in Social Media. IEEE Trans. Knowl. Data Eng. 33(2): 796-809 (2021) - [c136]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
How Useful is Meta-Recommendation? An Empirical Investigation. IEEE BigData 2021: 600-606 - [c135]Sandrine Da Col, Radu Ciucanu, Marta Soare, Nassim Bouarour, Sihem Amer-Yahia:
DashBot: An ML-Guided Dashboard Generation System. CIKM 2021: 4696-4700 - [c134]Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Équille, Maximilian Fabricius, Srividya Subramanian:
DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning. CIKM 2021: 4769-4773 - [c133]Idir Benouaret, Mohamed Bouadi, Sihem Amer-Yahia:
Multi-Objective Recommendations and Promotions at TOTAL. DEXA (2) 2021: 270-282 - [c132]Sihem Amer-Yahia, Laure Berti-Équille, Abdelouahab Chibah:
A Framework for Statistically-Sound Customer Segment Search. DSAA 2021: 1-10 - [c131]Sihem Amer-Yahia, Tova Milo, Brit Youngmann:
SubDEx: Exploring Ratings in Subjective Databases. ICDE 2021: 2653-2656 - [c130]Abdelouahab Chibah, Sihem Amer-Yahia, Laure Berti-Équille:
QeNoBi: A System for QuErying and mining BehavIoral Patterns. ICDE 2021: 2673-2676 - [c129]Sihem Amer-Yahia, Shady Elbassuoni, Ahmad Ghizzawi, Anas Hosami:
Quantifying and Addressing Ranking Disparity in Human-Powered Data Acquisition. KDD 2021: 2525-2533 - [c128]Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Équille, Maximilian Fabricius, Srividya Subramanian:
Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning. aiDM@SIGMOD 2021: 16-23 - [c127]Sihem Amer-Yahia, Tova Milo, Brit Youngmann:
Exploring Ratings in Subjective Databases. SIGMOD Conference 2021: 62-75 - [c126]Sihem Amer-Yahia, Senjuti Basu Roy:
Data Management to Social Science and Back in the Future of Work. SIGMOD Conference 2021: 2876-2877 - [c125]Mohammadreza Esfandiari, Ria Mae Borromeo, Sepideh Nikookar, Paras Sakharkar, Sihem Amer-Yahia, Senjuti Basu Roy:
Multi-Session Diversity to Improve User Satisfaction in Web Applications. WWW 2021: 1928-1936 - [i16]Sihem Amer-Yahia, Georgia Koutrika, Frederic B. Bastian, Theofilos Belmpas, Martin Braschler, Ursin Brunner, Diego Calvanese, Maximilian Fabricius, Orest Gkini, Catherine Kosten, Davide Lanti, Antonis Litke, Hendrik Lücke-Tieke, Francesco Alessandro Massucci, Tarcisio Mendes de Farias, Alessandro Mosca, Francesco Multari, Nikolaos Papadakis, Dimitris Papadopoulos, Yogendra Patil, Aurélien Personnaz, Guillem Rull, Ana Claudia Sima, Ellery Smith, Dimitrios Skoutas, Srividya Subramanian, Guohui Xiao, Kurt Stockinger:
INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]. CoRR abs/2104.04194 (2021) - 2020
- [j74]Sihem Amer-Yahia, Reynold Cheng, Mohamed Bouadi, Abdelouahab Chibah, Mohammadreza Esfandiari, Jiangping Zhou, Nan Zhang, Eric Lau, Yuguo Li, Xiaolin Han, Shivansh Mittal:
An ML-Powered Human Behavior Management System. IEEE Data Eng. Bull. 43(3): 53-64 (2020) - [j73]Fabian Colque Zegarra, Juan C. Carbajal Ipenza, Behrooz Omidvar-Tehrani, Viviane P. Moreira, Sihem Amer-Yahia, João Luiz Dihl Comba:
Visual exploration of rating datasets and user groups. Future Gener. Comput. Syst. 105: 547-561 (2020) - [j72]Mariia Seleznova, Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Eric Simon:
Guided Exploration of User Groups. Proc. VLDB Endow. 13(9): 1469-1482 (2020) - [j71]Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida:
Making AI Machines Work for Humans in FoW. SIGMOD Rec. 49(2): 30-35 (2020) - [j70]Shady Elbassuoni, Sihem Amer-Yahia, Ahmad Ghizzawi:
Fairness of Scoring in Online Job Marketplaces. Trans. Data Sci. 1(4): 29:1-29:30 (2020) - [j69]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia:
User Group Analytics Survey and Research Opportunities. IEEE Trans. Knowl. Data Eng. 32(10): 2040-2059 (2020) - [j68]Idir Benouaret, Sihem Amer-Yahia, Senjuti Basu Roy, Christiane Kamdem Kengne, Jalil Chagraoui:
Enabling Decision Support Through Ranking and Summarization of Association Rules for TOTAL Customers. Trans. Large Scale Data Knowl. Centered Syst. 44: 160-193 (2020) - [j67]Lei Chen, Sihem Amer-Yahia:
VLDB SI survey editorial. VLDB J. 29(1): 1-2 (2020) - [j66]Sihem Amer-Yahia, Jian Pei:
VLDB SI 2018 editorial. VLDB J. 29(2-3): 593-594 (2020) - [j65]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
Cohort analytics: efficiency and applicability. VLDB J. 29(6): 1527-1550 (2020) - [c124]Sihem Amer-Yahia, Anh Tho Le, Eric Simon:
Data Pipelines for Personalized Exploration of Rated Datasets. BIAS 2020: 72-78 - [c123]Idir Benouaret, Sihem Amer-Yahia:
A Comparative Evaluation of Top-N Recommendation Algorithms: Case Study with Total Customers. IEEE BigData 2020: 4499-4508 - [c122]José F. Rodrigues Jr., Bruno Brandoli, Sihem Amer-Yahia:
DermaDL: Advanced Convolutional Neural Networks for Automated Melanoma Detection. CBMS 2020: 504-509 - [c121]José F. Rodrigues Jr., Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia:
Lig-Doctor: Real-World Clinical Prognosis using a Bi-Directional Neural Network. CBMS 2020: 569-572 - [c120]Alexander Ylnner Choquenaira Florez, Lucas C. Scabora, Sihem Amer-Yahia, José Fernando Rodrigues Júnior:
Augmentation Techniques for Sequential Clinical Data to Improve Deep Learning Prediction Techniques. CBMS 2020: 597-602 - [c119]José F. Rodrigues Jr., Jean Louis Pépin, Lorraine Goeuriot, Sihem Amer-Yahia:
An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening. CIKM 2020: 2709-2716 - [c118]Sihem Amer-Yahia, Shady Elbassuoni, Ahmad Ghizzawi, Ria Mae Borromeo, Emilie Hoareau, Philippe Mulhem:
Fairness in Online Jobs: A Case Study on TaskRabbit and Google. EDBT 2020: 510-521 - [c117]Dong Wei, Senjuti Basu Roy, Sihem Amer-Yahia:
Task Deployment Recommendation with Worker Availability. ICDE 2020: 1806-1809 - [c116]Sihem Amer-Yahia, Ria Mae Borromeo, Shady Elbassuoni, Behrooz Omidvar-Tehrani, Sruthi Viswanathan:
Interactive Generation and Customization of Travel Packages for Individuals and Groups. IUI Companion 2020: 69-70 - [c115]Dong Wei, Senjuti Basu Roy, Sihem Amer-Yahia:
Recommending Deployment Strategies for Collaborative Tasks. SIGMOD Conference 2020: 3-17 - [i15]Dong Wei, Senjuti Basu Roy, Sihem Amer-Yahia:
Recommending Deployment Strategies for Collaborative Tasks. CoRR abs/2003.06875 (2020) - [i14]Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Sihem Amer-Yahia:
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods. CoRR abs/2009.00453 (2020)
2010 – 2019
- 2019
- [j64]Sihem Amer-Yahia, Lei Chen, Atsuyuki Morishima, Senjuti Basu Roy:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 42(4): 2 (2019) - [j63]Cícero A. L. Pahins, Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Valérie Siroux, Jean Louis Pépin, Jean-Christian Borel, João Comba:
COVIZ: A System for Visual Formation and Exploration of Patient Cohorts. Proc. VLDB Endow. 12(12): 1822-1825 (2019) - [j62]Sihem Amer-Yahia, Senjuti Basu Roy:
The Ever Evolving Online Labor Market: Overview, Challenges and Opportunities. Proc. VLDB Endow. 12(12): 1978-1981 (2019) - [j61]Son T. Mai, Sihem Amer-Yahia, Ira Assent, Mathias Skovgaard Birk, Martin Storgaard Dieu, Jon Jacobsen, Jesper Kristensen:
Scalable Interactive Dynamic Graph Clustering on Multicore CPUs. IEEE Trans. Knowl. Data Eng. 31(7): 1239-1252 (2019) - [j60]Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Optimized group formation for solving collaborative tasks. VLDB J. 28(1): 1-23 (2019) - [j59]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Ria Mae Borromeo:
User group analytics: hypothesis generation and exploratory analysis of user data. VLDB J. 28(2): 243-266 (2019) - [j58]Sihem Amer-Yahia, Lei Chen, Renée J. Miller:
Thematic issue on data management for graphs. VLDB J. 28(3): 293-294 (2019) - [c114]Idir Benouaret, Sihem Amer-Yahia, Christiane Kamdem Kengne, Jalil Chagraoui:
A Bi-Objective Approach for Product Recommendations. IEEE BigData 2019: 2159-2168 - [c113]Idir Benouaret, Sihem Amer-Yahia, Senjuti Basu Roy:
An Efficient Greedy Algorithm for Sequence Recommendation. DEXA (1) 2019: 314-326 - [c112]Sihem Amer-Yahia, Shady Elbassuoni, Behrooz Omidvar-Tehrani, Ria Mae Borromeo, Mehrdad Farokhnejad:
GroupTravel: Customizing Travel Packages for Groups. EDBT 2019: 133-144 - [c111]Ahmad Ghizzawi, Julien Marinescu, Shady Elbassuoni, Sihem Amer-Yahia, Gilles Bisson:
FaiRank: An Interactive System to Explore Fairness of Ranking in Online Job Marketplaces. EDBT 2019: 582-585 - [c110]Shady Elbassuoni, Sihem Amer-Yahia, Christine El Atie, Ahmad Ghizzawi, Bilel Oualha:
Exploring Fairness of Ranking in Online Job Marketplaces. EDBT 2019: 646-649 - [c109]Mohammadreza Esfandiari, Dong Wei, Sihem Amer-Yahia, Senjuti Basu Roy:
Optimizing Peer Learning in Online Groups with Affinities. KDD 2019: 1216-1226 - [c108]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Eric Simon, Fabian Colque Zegarra, João Luiz Dihl Comba, Viviane P. Moreira:
UserDEV: A Mixed-Initiative System for User Group Analytics. HILDA@SIGMOD 2019: 3:1-3:8 - [c107]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia:
Data Pipelines for User Group Analytics. SIGMOD Conference 2019: 2048-2053 - [e9]Sihem Amer-Yahia, Mohammad Mahdian, Ashish Goel, Geert-Jan Houben, Kristina Lerman, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia:
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. ACM 2019, ISBN 978-1-4503-6675-5 [contents] - [i13]José F. Rodrigues Jr., Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia:
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls. CoRR abs/1909.04605 (2019) - [i12]Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima:
Human-in-the-loop Big Data and AI: Connecting Theories and Practices for a Better Future of Work (NII Shonan Meeting 154). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [j57]Son T. Mai, Sihem Amer-Yahia, Sébastien Bailly, Jean Louis Pépin, Ahlame Douzal Chouakria, Ky T. Nguyen, Anh-Duong Nguyen:
Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis. Data Sci. Eng. 3(4): 359-378 (2018) - [j56]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(5): i-vi (2018) - [j55]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(6): i-vi (2018) - [j54]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(7): i-vi (2018) - [j53]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(8): i-vi (2018) - [j52]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(9): i-vi (2018) - [j51]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(10): i-vi (2018) - [j50]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(11): i-vi (2018) - [j49]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(12): i-vi (2018) - [j48]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(13): i-vi (2018) - [j47]Maha Alsayasneh, Sihem Amer-Yahia, Éric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama, Jean-Michel Renders:
Personalized and Diverse Task Composition in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 30(1): 128-141 (2018) - [j46]Sumit Sidana, Sihem Amer-Yahia, Marianne Clausel, Majdeddine Rebai, Son T. Mai, Massih-Reza Amini:
Health Monitoring on Social Media over Time. IEEE Trans. Knowl. Data Eng. 30(8): 1467-1480 (2018) - [c106]Mohammadreza Esfandiari, Senjuti Basu Roy, Sihem Amer-Yahia:
Explicit Preference Elicitation for Task Completion Time. CIKM 2018: 1233-1242 - [c105]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia:
User Group Analytics: Discovery, Exploration and Visualization. CIKM 2018: 2307-2308 - [c104]Son T. Mai, Sihem Amer-Yahia, Ahlame Douzal Chouakria, Ky T. Nguyen, Anh-Duong Nguyen:
Scalable Active Constrained Clustering for Temporal Data. DASFAA (1) 2018: 566-582 - [c103]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
Cohort Representation and Exploration. DSAA 2018: 169-178 - [c102]Son T. Mai, Sihem Amer-Yahia, Ahlame Douzal Chouakria:
Scalable Active Temporal Constrained Clustering. EDBT 2018: 449-452 - [c101]Sihem Amer-Yahia, Senjuti Basu Roy:
Interactive Exploration of Composite Items. EDBT 2018: 513-516 - [c100]Sihem Amer-Yahia:
Human Factors in Data Science. ICDE 2018: 1-12 - [c99]Julien Pilourdault, Sihem Amer-Yahia, Senjuti Basu Roy, Dongwon Lee:
Task Relevance and Diversity as Worker Motivation in Crowdsourcing. ICDE 2018: 365-376 - [c98]Sihem Amer-Yahia, Behrooz Omidvar-Tehrani, João Comba, Viviane P. Moreira, Fabian Colque Zegarra:
Exploration of User Groups in VEXUS. ICDE 2018: 1557-1560 - [c97]Mohammadreza Esfandiari, Kavan Bharat Patel, Sihem Amer-Yahia, Senjuti Basu Roy:
Crowdsourcing Analytics With CrowdCur. SIGMOD Conference 2018: 1701-1704 - [r6]Sihem Amer-Yahia, Sofiane Abbar, Noha Ibrahim:
Text Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - [r5]Sihem Amer-Yahia, Mahashweta Das, Gautam Das, Saravanan Thirumuruganathan, Cong Yu:
Structure Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Sihem Amer-Yahia, Themis Palpanas, Mikalai Tsytsarau, Sofia Kleisarchaki, Ahlame Douzal, Vassilis Christophides:
Temporal Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Sihem Amer-Yahia, Senjuti Basu Roy, Gautam Das, Ioanna Lykourentzou, Habibur Rahman, Saravanan Thirumuruganathan:
Human Factors Modeling in Crowdsourcing. Encyclopedia of Database Systems (2nd ed.) 2018 - [r2]Sihem Amer-Yahia, Alexandre Termier, Behrooz Omidvar-Tehrani:
Interactive Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - [r1]Sihem Amer-Yahia, Alexandre Termier, Behrooz Omidvar-Tehrani:
Social Media Analytics. Encyclopedia of Database Systems (2nd ed.) 2018 - [i11]Mohammadreza Esfandiari, Senjuti Basu Roy, Sihem Amer-Yahia:
Eliciting Worker Preference for Task Completion. CoRR abs/1801.03233 (2018) - 2017
- [j45]Shashwat Mishra, Vincent Leroy, Sihem Amer-Yahia:
Colloquial region discovery for retail products: discovery and application. Int. J. Data Sci. Anal. 4(1): 17-34 (2017) - [j44]Vincent Leroy, Martin Kirchgessner, Alexandre Termier, Sihem Amer-Yahia:
TopPI: An efficient algorithm for item-centric mining. Inf. Syst. 64: 104-118 (2017) - [j43]Ria Mae Borromeo, Thomas Laurent, Motomichi Toyama, Maha Alsayasneh, Sihem Amer-Yahia, Vincent Leroy:
Deployment strategies for crowdsourcing text creation. Inf. Syst. 71: 103-110 (2017) - [j42]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(1): i-vi (2017) - [j41]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(2): i-vi (2017) - [j40]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(3): i-vi (2017) - [j39]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(4): i-vi (2017) - [c96]Sihem Amer-Yahia:
Toward Interactive User Data Analytics. BICOD 2017: 3-6 - [c95]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia:
Online Lattice-Based Abstraction of User Groups. DEXA (1) 2017: 95-110 - [c94]Manish Singh, Ria Mae Borromeo, Anas Hosami, Sihem Amer-Yahia, Shady Elbassuoni:
Customizing Travel Packages with Interactive Composite Items. DSAA 2017: 137-145 - [c93]Julien Pilourdault, Sihem Amer-Yahia, Dongwon Lee, Senjuti Basu Roy:
Motivation-Aware Task Assignment in Crowdsourcing. EDBT 2017: 246-257 - [c92]Ria Mae Borromeo, Maha Alsayasneh, Sihem Amer-Yahia, Vincent Leroy:
Crowdsourcing Strategies for Text Creation Tasks. EDBT 2017: 450-453 - [c91]Ria Mae Borromeo, Thomas Laurent, Motomichi Toyama, Sihem Amer-Yahia:
Fairness and Transparency in Crowdsourcing. EDBT 2017: 466-469 - [c90]Sihem Amer-Yahia, Sofia Kleisarchaki, Naresh Kumar Kolloju, Laks V. S. Lakshmanan, Ruben H. Zamar:
Exploring Rated Datasets with Rating Maps. WWW 2017: 1411-1419 - [i10]Sihem Amer-Yahia, Behrooz Omidvar-Tehrani, João Comba, Viviane P. Moreira, Fabian Colque Zegarra:
Exploration of User Groups in VEXUS. CoRR abs/1712.03529 (2017) - 2016
- [j38]Sihem Amer-Yahia, Senjuti Basu Roy:
Toward Worker-Centric Crowdsourcing. IEEE Data Eng. Bull. 39(4): 3-13 (2016) - [j37]Sihem Amer-Yahia:
Introduction. Ingénierie des Systèmes d Inf. 21(3): 7-10 (2016) - [j36]Kosetsu Ikeda, Atsuyuki Morishima, Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Collaborative Crowdsourcing with Crowd4U. Proc. VLDB Endow. 9(13): 1497-1500 (2016) - [j35]Sihem Amer-Yahia, Senjuti Basu Roy:
Human Factors in Crowdsourcing. Proc. VLDB Endow. 9(13): 1615-1618 (2016) - [j34]Anand Inasu Chittilappilly, Lei Chen, Sihem Amer-Yahia:
A Survey of General-Purpose Crowdsourcing Techniques. IEEE Trans. Knowl. Data Eng. 28(9): 2246-2266 (2016) - [c89]Martin Kirchgessner, Vincent Leroy, Alexandre Termier, Sihem Amer-Yahia, Marie-Christine Rousset:
TopPI: An Efficient Algorithm for Item-Centric Mining. DaWaK 2016: 19-33 - [c88]Sihem Amer-Yahia, Éric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama:
Task Composition in Crowdsourcing. DSAA 2016: 194-203 - [c87]Martin Kirchgessner, Vincent Leroy, Sihem Amer-Yahia, Shashwat Mishra:
Testing Interestingness Measures in Practice: A Large-Scale Analysis of Buying Patterns. DSAA 2016: 547-556 - [c86]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Pierre-François Dutot, Denis Trystram:
Multi-Objective Group Discovery on the Social Web. ECML/PKDD (1) 2016: 296-312 - [c85]Sumit Sidana, Shashwat Mishra, Sihem Amer-Yahia, Marianne Clausel, Massih-Reza Amini:
Health Monitoring on Social Media over Time. SIGIR 2016: 849-852 - [c84]Julien Pilourdault, Vincent Leroy, Sihem Amer-Yahia:
Distributed Evaluation of Top-k Temporal Joins. SIGMOD Conference 2016: 1027-1039 - [c83]Beatrice Valeri, Shady Elbassuoni, Sihem Amer-Yahia:
Crowdsourcing Reliable Ratings for Underexposed Items. WEBIST (2) 2016: 75-86 - [i9]Martin Kirchgessner, Vincent Leroy, Sihem Amer-Yahia, Shashwat Mishra:
Testing Interestingness Measures in Practice: A Large-Scale Analysis of Buying Patterns. CoRR abs/1603.04792 (2016) - [i8]Sofia Kleisarchaki, Sihem Amer-Yahia, Ahlame Douzal Chouakria, Vassilis Christophides:
Querying Temporal Drifts at Multiple Granularities (Technical Report). CoRR abs/1605.02772 (2016) - 2015
- [j33]Maximilien Servajean, Reza Akbarinia, Esther Pacitti, Sihem Amer-Yahia:
Profile Diversity for Query Processing using User Recommendations. Inf. Syst. 48: 44-63 (2015) - [j32]Trong Dinh Thac Do, Alexandre Termier, Anne Laurent, Benjamin Négrevergne, Behrooz Omidvar-Tehrani, Sihem Amer-Yahia:
PGLCM: efficient parallel mining of closed frequent gradual itemsets. Knowl. Inf. Syst. 43(3): 497-527 (2015) - [j31]Habibur Rahman, Saravanan Thirumuruganathan, Senjuti Basu Roy, Sihem Amer-Yahia, Gautam Das:
Worker Skill Estimation in Team-Based Tasks. Proc. VLDB Endow. 8(11): 1142-1153 (2015) - [j30]Maximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-Yahia, Amr El Abbadi:
Increasing Coverage in Distributed Search and Recommendation with Profile Diversity. Trans. Large Scale Data Knowl. Centered Syst. 22: 115-144 (2015) - [j29]Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Task assignment optimization in knowledge-intensive crowdsourcing. VLDB J. 24(4): 467-491 (2015) - [c82]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Alexandre Termier:
Interactive User Group Analysis. CIKM 2015: 403-412 - [c81]Vincent Leroy, Sihem Amer-Yahia, Éric Gaussier, Seyed Hamid Mirisaee:
Building Representative Composite Items. CIKM 2015: 1421-1430 - [c80]Sofia Kleisarchaki, Sihem Amer-Yahia, Ahlame Douzal Chouakria, Vassilis Christophides:
Querying Temporal Drifts at Multiple Granularities. CIKM 2015: 1531-1540 - [c79]Shashwat Mishra, Vincent Leroy, Sihem Amer-Yahia:
Discovering characterizing regions for consumer products. DSAA 2015: 1-10 - [c78]Sihem Amer-Yahia, Behrooz Omidvar-Tehrani, Senjuti Basu Roy, Nafiseh Shabib:
Group Recommendation with Temporal Affinities. EDBT 2015: 421-432 - [c77]Senjuti Basu Roy, Sihem Amer-Yahia, Lucas Joppa:
ECCO- A Framework for Ecological Data Collection and Management Involving Human Workers. EDBT 2015: 677-682 - [c76]Beatrice Valeri, Shady Elbassuoni, Sihem Amer-Yahia:
Acquiring Reliable Ratings from the Crowd. HCOMP 2015: 40-41 - [c75]Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Task Assignment Optimization in Collaborative Crowdsourcing. ICDM 2015: 949-954 - [c74]Sihem Amer-Yahia, Senjuti Basu Roy:
From Complex Object Exploration to Complex Crowdsourcing. WWW (Companion Volume) 2015: 1531-1532 - [i7]Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
"The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing. CoRR abs/1502.05106 (2015) - 2014
- [j28]Sihem Amer-Yahia, Noha Ibrahim, Christiane Kamdem Kengne, Federico Ulliana, Marie-Christine Rousset:
SOCLE: Towards a framework for data preparation in social applications. Ingénierie des Systèmes d Inf. 19(3): 49-72 (2014) - [j27]Imène Saidi, Sihem Amer-Yahia, Safia Nait Bahloul:
Diversité dans la recherche d'entités. Ingénierie des Systèmes d Inf. 19(3): 107-136 (2014) - [j26]Sihem Amer-Yahia, Francesco Bonchi, Carlos Castillo, Esteban Feuerstein, Isabel Méndez-Díaz, Paula Zabala:
Composite Retrieval of Diverse and Complementary Bundles. IEEE Trans. Knowl. Data Eng. 26(11): 2662-2675 (2014) - [j25]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
An expressive framework and efficient algorithms for the analysis of collaborative tagging. VLDB J. 23(2): 201-226 (2014) - [c73]Maximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-Yahia, Amr El Abbadi:
Exploiting Diversification in Gossip-Based Recommendation. Globe 2014: 25-36 - [c72]Atsuyuki Morishima, Sihem Amer-Yahia, Senjuti Basu Roy:
Crowd4U: An Initiative for Constructing an Open Academic Crowdsourcing Network. HCOMP 2014: 50-51 - [c71]Imène Saidi, Sihem Amer-Yahia, Safia Nait Bahloul:
An Approach to Diversify Entity Search Results. ICAASE 2014: 44-51 - [c70]Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Exploiting group recommendation functions for flexible preferences. ICDE 2014: 412-423 - [e8]Sihem Amer-Yahia, Vassilis Christophides, Anastasios Kementsietsidis, Minos N. Garofalakis, Stratos Idreos, Vincent Leroy:
Proceedings of the 17th International Conference on Extending Database Technology, EDBT 2014, Athens, Greece, March 24-28, 2014. OpenProceedings.org 2014 [contents] - [e7]K. Selçuk Candan, Sihem Amer-Yahia, Nicole Schweikardt, Vassilis Christophides, Vincent Leroy:
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), Athens, Greece, March 28, 2014. CEUR Workshop Proceedings 1133, CEUR-WS.org 2014 [contents] - [i6]Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Optimization in Knowledge-Intensive Crowdsourcing. CoRR abs/1401.1302 (2014) - 2013
- [j24]Sihem Amer-Yahia, Stefan Manegold:
Front Matter. Proc. VLDB Endow. 6(8): i-x (2013) - [c69]Julia Stoyanovich, Sihem Amer-Yahia, Susan B. Davidson, Marie Jacob, Tova Milo:
Understanding Local Structure in Ranked Datasets. CIDR 2013 - [c68]Sofiane Abbar, Sihem Amer-Yahia, Piotr Indyk, Sepideh Mahabadi, Kasturi R. Varadarajan:
Diverse near neighbor problem. SoCG 2013: 207-214 - [c67]Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing. DBCrowd 2013: 39-42 - [c66]Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Alexandre Termier, Aurélie Bertaux, Éric Gaussier, Marie-Christine Rousset:
Towards a Framework for Semantic Exploration of Frequent Patterns. IMMoA 2013: 7-14 - [c65]Soudip Roy Chowdhury, Muhammad Imran, Muhammad Rizwan Asghar, Sihem Amer-Yahia, Carlos Castillo:
Tweet4act: Using incident-specific profiles for classifying crisis-related messages. ISCRAM 2013 - [c64]Mikalai Tsytsarau, Sihem Amer-Yahia, Themis Palpanas:
Efficient sentiment correlation for large-scale demographics. SIGMOD Conference 2013: 253-264 - [c63]Sofiane Abbar, Sihem Amer-Yahia, Piotr Indyk, Sepideh Mahabadi:
Real-time recommendation of diverse related articles. WWW 2013: 1-12 - [c62]Sihem Amer-Yahia, Francesco Bonchi, Carlos Castillo, Esteban Feuerstein, Isabel Méndez-Díaz, Paula Zabala:
Complexity and algorithms for composite retrieval. WWW (Companion Volume) 2013: 79-80 - [c61]Maximilien Servajean, Esther Pacitti, Sihem Amer-Yahia, Pascal Neveu:
Profile diversity in search and recommendation. WWW (Companion Volume) 2013: 973-980 - 2012
- [j23]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Who Tags What? An Analysis Framework. Proc. VLDB Endow. 5(11): 1567-1578 (2012) - [j22]Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das, Cong Yu:
MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings. Proc. VLDB Endow. 5(12): 1986-1989 (2012) - [c60]Sihem Amer-Yahia:
User Activity Analytics on the Social Web of News. COMAD 2012: 4 - [c59]Sihem Amer-Yahia, Samreen Anjum, Amira Ghenai, Aysha Siddique, Sofiane Abbar, Sam Madden, Adam Marcus, Mohammed El-Haddad:
MAQSA: a system for social analytics on news. SIGMOD Conference 2012: 653-656 - [c58]Sihem Amer-Yahia:
Crowd Sourcing Literature Review in SUNFLOWER. CrowdSearch 2012: 2 - [e6]Elke A. Rundensteiner, Volker Markl, Ioana Manolescu, Sihem Amer-Yahia, Felix Naumann, Ismail Ari:
15th International Conference on Extending Database Technology, EDBT '12, Berlin, Germany, March 27-30, 2012, Proceedings. ACM 2012, ISBN 978-1-4503-0790-1 [contents] - [i5]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Who Tags What? An Analysis Framework. CoRR abs/1208.0285 (2012) - 2011
- [j21]Sihem Amer-Yahia:
Recommendation Projects at Yahoo! IEEE Data Eng. Bull. 34(2): 69-77 (2011) - [j20]Mahashweta Das, Sihem Amer-Yahia, Gautam Das, Cong Yu:
MRI: Meaningful Interpretations of Collaborative Ratings. Proc. VLDB Endow. 4(11): 1063-1074 (2011) - [c57]Sihem Amer-Yahia:
I am complex: cluster me, don't just rank me. BEWEB 2011: 1 - [c56]Julia Stoyanovich, Sihem Amer-Yahia, Tova Milo:
Making interval-based clustering rank-aware. EDBT 2011: 437-448 - [c55]Senjuti Basu Roy, Gautam Das, Sihem Amer-Yahia, Cong Yu:
Interactive itinerary planning. ICDE 2011: 15-26 - [e5]Anastasia Ailamaki, Sihem Amer-Yahia, Jignesh M. Patel, Tore Risch, Pierre Senellart, Julia Stoyanovich:
EDBT 2011, 14th International Conference on Extending Database Technology, Uppsala, Sweden, March 21-24, 2011, Proceedings. ACM 2011, ISBN 978-1-4503-0528-0 [contents] - 2010
- [j19]Senjuti Basu Roy, Sihem Amer-Yahia, Ashish Chawla, Gautam Das, Cong Yu:
Space efficiency in group recommendation. VLDB J. 19(6): 877-900 (2010) - [c54]Munmun De Choudhury, Moran Feldman, Sihem Amer-Yahia, Nadav Golbandi, Ronny Lempel, Cong Yu:
Automatic construction of travel itineraries using social breadcrumbs. HT 2010: 35-44 - [c53]Fernando Diaz, Donald Metzler, Sihem Amer-Yahia:
Relevance and ranking in online dating systems. SIGIR 2010: 66-73 - [c52]Senjuti Basu Roy, Sihem Amer-Yahia, Ashish Chawla, Gautam Das, Cong Yu:
Constructing and exploring composite items. SIGMOD Conference 2010: 843-854 - [c51]Sihem Amer-Yahia, AnHai Doan, Jon M. Kleinberg, Nick Koudas, Michael J. Franklin:
Crowds, clouds, and algorithms: exploring the human side of "big data" applications. SIGMOD Conference 2010: 1259-1260 - [c50]Munmun De Choudhury, Moran Feldman, Sihem Amer-Yahia, Nadav Golbandi, Ronny Lempel, Cong Yu:
Constructing travel itineraries from tagged geo-temporal breadcrumbs. WWW 2010: 1083-1084
2000 – 2009
- 2009
- [j18]Sihem Amer-Yahia:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 32(2): 2 (2009) - [j17]Sihem Amer-Yahia, Laks V. S. Lakshmanan, Sergei Vassilvitskii, Cong Yu:
Battling Predictability and Overconcentration in Recommender Systems. IEEE Data Eng. Bull. 32(4): 33-40 (2009) - [j16]Erik Vee, Jayavel Shanmugasundaram, Sihem Amer-Yahia:
Efficient Computation of Diverse Query Results. IEEE Data Eng. Bull. 32(4): 57-64 (2009) - [j15]Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawla, Gautam Das, Cong Yu:
Group Recommendation: Semantics and Efficiency. Proc. VLDB Endow. 2(1): 754-765 (2009) - [j14]Sihem Amer-Yahia, Georgia Koutrika:
Third int'l workshop on "personalized access, profile management, and context awareness in databases" (PersDB 2009). SIGMOD Rec. 38(4): 43-45 (2009) - [c49]Sihem Amer-Yahia, Laks V. S. Lakshmanan, Cong Yu:
SocialScope: Enabling Information Discovery on Social Content Sites. CIDR 2009 - [c48]Julia Stoyanovich, Sihem Amer-Yahia:
Rank-aware clustering of structured datasets. CIKM 2009: 1429-1432 - [c47]Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia:
It takes variety to make a world: diversification in recommender systems. EDBT 2009: 368-378 - [c46]Sihem Amer-Yahia, Cong Yu:
Leveraging communities in social content sites. EDBT/ICDT Workshops 2009: 1 - [c45]Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia:
Recommendation Diversification Using Explanations. ICDE 2009: 1299-1302 - [c44]Sihem Amer-Yahia, Jian Huang, Cong Yu:
Jelly: A Language for Building Community-Centric Information Exploration Applications. ICDE 2009: 1588-1594 - [c43]Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Sergei Vassilvitskii, Cong Yu:
Getting recommender systems to think outside the box. RecSys 2009: 285-288 - [c42]Sihem Amer-Yahia, Jian Huang, Cong Yu:
Building community-centric information exploration applications on social content sites. SIGMOD Conference 2009: 947-952 - [i4]Sihem Amer-Yahia, Laks V. S. Lakshmanan, Cong Yu:
SocialScope: Enabling Information Discovery on Social Content Sites. CoRR abs/0909.2058 (2009) - 2008
- [j13]Sihem Amer-Yahia:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 31(2): 2 (2008) - [j12]Sihem Amer-Yahia, Michael Benedikt, Laks V. S. Lakshmanan, Julia Stoyanovich:
Efficient network aware search in collaborative tagging sites. Proc. VLDB Endow. 1(1): 710-721 (2008) - [j11]Lin Guo, Sihem Amer-Yahia, Raghu Ramakrishnan, Jayavel Shanmugasundaram, Utkarsh Srivastava, Erik Vee:
Efficient top-k processing over query-dependent functions. Proc. VLDB Endow. 1(1): 1044-1055 (2008) - [j10]Sihem Amer-Yahia, Djoerd Hiemstra, Thomas Roelleke, Divesh Srivastava, Gerhard Weikum:
DB&IR integration: report on the dagstuhl seminar. SIGIR Forum 42(2): 84-89 (2008) - [j9]Sihem Amer-Yahia, Volker Markl, Alon Y. Halevy, AnHai Doan, Gustavo Alonso, Donald Kossmann, Gerhard Weikum:
Databases and Web 2.0 panel at VLDB 2007. SIGMOD Rec. 37(1): 49-52 (2008) - [j8]Sihem Amer-Yahia, Djoerd Hiemstra, Thomas Roelleke, Divesh Srivastava, Gerhard Weikum:
DB&IR integration: report on the Dagstuhl seminar "ranked XML querying". SIGMOD Rec. 37(3): 46-49 (2008) - [c41]Sihem Amer-Yahia, Andrei Z. Broder, Alban Galland:
Reviewing the Reviewers: Characterizing Biases and Competencies using Socially Meaningful Attributes. AAAI Spring Symposium: Social Information Processing 2008: 1-6 - [c40]Julia Stoyanovich, Sihem Amer-Yahia, Cameron Marlow, Cong Yu:
Leveraging Tagging to Model User Interests in del.icio.us. AAAI Spring Symposium: Social Information Processing 2008: 104-109 - [c39]Erik Vee, Utkarsh Srivastava, Jayavel Shanmugasundaram, Prashant Bhat, Sihem Amer-Yahia:
Efficient Computation of Diverse Query Results. ICDE 2008: 228-236 - [c38]Sihem Amer-Yahia, Alban Galland, Julia Stoyanovich, Cong Yu:
From del.icio.us to x.qui.site: recommendations in social tagging sites. SIGMOD Conference 2008: 1323-1326 - [e4]James G. Shanahan, Sihem Amer-Yahia, Ioana Manolescu, Yi Zhang, David A. Evans, Aleksander Kolcz, Key-Sun Choi, Abdur Chowdhury:
Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008. ACM 2008, ISBN 978-1-59593-991-3 [contents] - [e3]Sihem Amer-Yahia, Divesh Srivastava, Gerhard Weikum:
Ranked XML Querying, 09.03. - 14.03.2008. Dagstuhl Seminar Proceedings 08111, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2008 [contents] - [i3]Sihem Amer-Yahia, Djoerd Hiemstra, Thomas Rölleke, Divesh Srivastava, Gerhard Weikum:
08111 Report - Ranked XML Querying. Ranked XML Querying 2008 - [i2]Sihem Amer-Yahia, Divesh Srivastava, Gerhard Weikum:
08111 Abstracts Collection - Ranked XML Querying. Ranked XML Querying 2008 - [i1]Irini Fundulaki, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
Personalizing XML Full Text Search in PIMENTO. Ranked XML Querying 2008 - 2007
- [j7]Sihem Amer-Yahia, Michael Benedikt, Philip Bohannon:
Challenges in Searching Online Communities. IEEE Data Eng. Bull. 30(2): 23-31 (2007) - [c37]Sihem Amer-Yahia, Irini Fundulaki, Laks V. S. Lakshmanan:
Personalizing XML Search in PIMENTO. ICDE 2007: 906-915 - [c36]Mariano P. Consens, Ricardo A. Baeza-Yates, Mounia Lalmas, Sihem Amer-Yahia:
XML retrieval: db/ir in theory, web in practice. VLDB 2007: 1437-1438 - [c35]Sihem Amer-Yahia, Alon Y. Halevy:
What does Web 2.0 have to do with databases? VLDB 2007: 1443 - [p1]Wendy Hui Wang, Divesh Srivastava, Laks V. S. Lakshmanan, SungRan Cho, Sihem Amer-Yahia:
Optimizing Tree Pattern Queries over Secure XML Databases. Secure Data Management in Decentralized Systems 2007: 127-165 - 2006
- [j6]Sihem Amer-Yahia, Chavdar Botev, Jochen Dörre, Jayavel Shanmugasundaram:
XQuery Full-Text extensions explained. IBM Syst. J. 45(2): 335-352 (2006) - [j5]Sihem Amer-Yahia, Mounia Lalmas:
XML search: languages, INEX and scoring. SIGMOD Rec. 35(4): 16-23 (2006) - [c34]Chavdar Botev, Sihem Amer-Yahia, Jayavel Shanmugasundaram:
Expressiveness and Performance of Full-Text Search Languages. EDBT 2006: 349-367 - [c33]Sihem Amer-Yahia, Emiran Curtmola, Alin Deutsch:
Flexible and efficient XML search with complex full-text predicates. SIGMOD Conference 2006: 575-586 - [c32]Sihem Amer-Yahia:
The power of structured data on the web. WIDM 2006: 1-2 - [e2]Sihem Amer-Yahia, Zohra Bellahsene, Ela Hunt, Rainer Unland, Jeffrey Xu Yu:
Database and XML Technologies, 4th International XML Database Symposium,XSym 2006, Seoul, Korea, September 10-11, 2006, Proceedings. Lecture Notes in Computer Science 4156, Springer 2006, ISBN 3-540-38877-X [contents] - 2005
- [j4]Sihem Amer-Yahia, Pat Case, Thomas Rölleke, Jayavel Shanmugasundaram, Gerhard Weikum:
Report on the DB/IR panel at SIGMOD 2005. SIGMOD Rec. 34(4): 71-74 (2005) - [c31]Amélie Marian, Sihem Amer-Yahia, Nick Koudas, Divesh Srivastava:
Adaptive Processing of Top-K Queries in XML. ICDE 2005: 162-173 - [c30]Sihem Amer-Yahia, Nick Koudas, Amélie Marian, Divesh Srivastava, David Toman:
Structure and Content Scoring for XML. VLDB 2005: 361-372 - [c29]Sihem Amer-Yahia, Irini Fundulaki, Prateek Jain, Laks V. S. Lakshmanan:
Personalizing XML Text Search in PimenT. VLDB 2005: 1310-1313 - [c28]Sihem Amer-Yahia, Jayavel Shanmugasundaram:
XML Full-Text Search: Challenges and Opportunities. VLDB 2005: 1368 - [c27]Emiran Curtmola, Sihem Amer-Yahia, Philip Brown, Mary F. Fernández:
GalaTex: a conformant implementation of the XQuery full-text language. WWW (Special interest tracks and posters) 2005: 1024-1025 - [c26]Emiran Curtmola, Sihem Amer-Yahia, Philip Brown, Mary F. Fernández:
GalaTex: A Conformant Implementation of the XQuery Full-Text Language. XIME-P 2005 - 2004
- [j3]Sihem Amer-Yahia, Divesh Srivastava, Dan Suciu:
Distributed Evaluation of Network Directory Queries. IEEE Trans. Knowl. Data Eng. 16(4): 474-486 (2004) - [j2]Sihem Amer-Yahia, Sophie Cluet:
A declarative approach to optimize bulk loading into databases. ACM Trans. Database Syst. 29(2): 233-281 (2004) - [c25]Sihem Amer-Yahia, Yannis Kotidis:
Web-Services Architecture for Efficient XML Data Exchange. ICDE 2004: 523-534 - [c24]Sihem Amer-Yahia, Laks V. S. Lakshmanan, Shashank Pandit:
FleXPath: Flexible Structure and Full-Text Querying for XML. SIGMOD Conference 2004: 83-94 - [c23]Chavdar Botev, Jayavel Shanmugasundaram, Sihem Amer-Yahia:
A TeXQuery-Based XML Full-Text Search Engine. SIGMOD Conference 2004: 943-944 - [c22]Fang Du, Sihem Amer-Yahia, Juliana Freire:
ShreX: Managing XML Documents in Relational Databases. VLDB 2004: 1297-1300 - [c21]Sihem Amer-Yahia, Fang Du, Juliana Freire:
A comprehensive solution to the XML-to-relational mapping problem. WIDM 2004: 31-38 - [c20]Sihem Amer-Yahia, Chavdar Botev, Jayavel Shanmugasundaram:
Texquery: a full-text search extension to xquery. WWW 2004: 583-594 - [c19]Sihem Amer-Yahia, Yannis Kotidis, Divesh Srivastava:
Teaching Relational Optimizers About XML Processing. XSym 2004: 158-172 - [e1]Sihem Amer-Yahia, Luis Gravano:
Proceedings of the Seventh International Workshop on the Web and Databases, WebDB 2004, June 17-18, 2004, Maison de la Chimie, Paris, France, Colocated with ACM SIGMOD/PODS 2004. ACM 2004 [contents] - 2003
- [c18]Sihem Amer-Yahia, Yannis Kotidis:
Efficient XML Data Exchange from Relations. BDA 2003 - [c17]Sihem Amer-Yahia, Yannis Kotidis, Divesh Srivastava:
XML Publishing: Look at Siblings too! ICDE 2003: 711-713 - [c16]Sihem Amer-Yahia, Mary F. Fernández, Divesh Srivastava, Yu Xu:
PIX: A System for Phrase Matching in XML Documents. ICDE 2003: 768-776 - [c15]Sihem Amer-Yahia, Nick Koudas, Divesh Srivastava:
Approximate Matching in XML. ICDE 2003: 803 - [c14]Sihem Amer-Yahia, Mary F. Fernández, Divesh Srivastava, Yu Xu:
PIX: Exact and Approximate Phrase Matching in XML. SIGMOD Conference 2003: 664 - [c13]SungRan Cho, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Divesh Srivastava:
LockX: A System for Efficiently Querying Secure XML. SIGMOD Conference 2003: 669 - [c12]Sihem Amer-Yahia, Mary F. Fernández, Divesh Srivastava, Yu Xu:
Phrase Matching in XML. VLDB 2003: 177-188 - 2002
- [j1]Sihem Amer-Yahia, SungRan Cho, Laks V. S. Lakshmanan, Divesh Srivastava:
Tree pattern query minimization. VLDB J. 11(4): 315-331 (2002) - [c11]Sihem Amer-Yahia, Mary F. Fernández, Rick Greer, Divesh Srivastava:
Logical and physical support for heterogeneous data. CIKM 2002: 270-281 - [c10]Sihem Amer-Yahia, SungRan Cho, Divesh Srivastava:
Tree Pattern Relaxation. EDBT 2002: 496-513 - [c9]Mary F. Fernández, Sihem Amer-Yahia:
Techniques for Storing XM. ICDE 2002: 323 - [c8]SungRan Cho, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Divesh Srivastava:
Optimizing the Secure Evaluation of Twig Queries. VLDB 2002: 490-501 - [c7]Sihem Amer-Yahia, Divesh Srivastava:
A mapping schema and interface for XML stores. WIDM 2002: 23-30 - 2001
- [c6]Sihem Amer-Yahia, SungRan Cho, Laks V. S. Lakshmanan, Divesh Srivastava:
Minimization of Tree Pattern Queries. SIGMOD Conference 2001: 497-508 - 2000
- [c5]Sihem Amer-Yahia, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava:
On Bounding-Schemas for LDAP Directories. EDBT 2000: 287-301 - [c4]Sihem Amer-Yahia, Theodore Johnson:
Optimizing Queries on Compressed Bitmaps. VLDB 2000: 329-338
1990 – 1999
- 1998
- [c3]Sihem Amer-Yahia, Sophie Cluet, Claude Delobel:
Bulk loading techniques for object databases and an application to relational data. BDA 1998 - [c2]Sihem Amer-Yahia, Sophie Cluet, Claude Delobel:
Bulk-Loading Techniques for Object Databases and an Application to Relational Data. VLDB 1998: 534-545 - 1996
- [c1]Sihem Amer-Yahia, Philippe Brèche, Cássio Souza dos Santos:
Object Views and Updates. BDA 1996: 253-272
Coauthor Index
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