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- affiliation: IMAG, Grenoble, France
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2020 – today
- 2023
[j95]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)- [j94]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) - [j93]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) - [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) - [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]Gael 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]