Sihem Amer-Yahia

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 166

Top Venues

Publications

Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia
Loss Compensation in Multi-Session Recommendation Under Limited Availability. EDBT (2024)
Antonis Mandamadiotis, Georgia Koutrika, Sihem Amer-Yahia
Guided SQL-Based Data Exploration with User Feedback. ICDE (2024)
Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia
Multi-objective Test Recommendation for Adaptive Learning. Trans. Large Scale Data Knowl. Centered Syst. (2024)
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) (2024)
Yun Wang, Chrysanthi Kosyfaki, Sihem Amer-Yahia, Reynold Cheng
A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs. CoRR (2024)
Stavroula Eleftherakis, Georgia Koutrika, Sihem Amer-Yahia
Optimizing Neighborhoods for Fair Top-N Recommendation. UMAP (2024)
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) (2023)
Nassim Bouarour, Idir Benouaret, Cédric D'Ham, Sihem Amer-Yahia
Adaptive Test Recommendation for Mastery Learning. DataEd@SIGMOD (2023)
Divyakant Agrawal, Sihem Amer-Yahia, K. Selcuk Candan
PACMMOD V1 N1 Editorial - Welcome to PACMMOD. Proc. ACM Manag. Data 1 (1) (2023)
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)
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) (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) (2023)
Divyakant Agrawal, Sihem Amer-Yahia, K. Selçuk Candan, Avrilia Floratou, Hakan Hacigümüs
PACMMOD V1 N2 Editorial. Proc. ACM Manag. Data 1 (2) (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) (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) (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) (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. CoRR (2023)
Sihem Amer-Yahia, Patrick Marcel, Verónika Peralta
Data Narration for the People: Challenges and Opportunities. EDBT (2023)
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) (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) (2022)
Sihem Amer-Yahia
Towards AI-Powered Data-Driven Education. Proc. VLDB Endow. 15 (12) (2022)
Sotirios Tzamaras, Radu Ciucanu, Marta Soare, Sihem Amer-Yahia
FeReD: Federated Reinforcement Learning in the DBMS. CIKM (2022)
Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia
Significance and Coverage in Group Testing on the Social Web. WWW (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) (2022)
Dujian Ding, Sihem Amer-Yahia, Laks V. S. Lakshmanan
On Efficient Approximate Queries over Machine Learning Models. Proc. VLDB Endow. 16 (4) (2022)
Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz
Guided Exploration of Data Summaries. CoRR (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 (2022)
Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia
Learning Diversity Attributes in Multi-Session Recommendations. Big Data (2022)
Behrooz Omidvar-Tehrani, Aurélien Personnaz, Sihem Amer-Yahia
Guided Text-based Item Exploration. CIKM (2022)
Aurélien Personnaz, Brit Youngmann, Sihem Amer-Yahia
EDA4SUM: Guided Exploration of Data Summaries. Proc. VLDB Endow. 15 (12) (2022)
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)
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)
Gael Marcadet, Radu Ciucanu, Pascal Lafourcade, Marta Soare, Sihem Amer-Yahia
Samba: A System for Secure Federated Multi-Armed Bandits. ICDE (2022)
Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz
Guided Exploration of Data Summaries. Proc. VLDB Endow. 15 (9) (2022)
Sepideh Nikookar, Paras Sakharkar, Baljinder Smagh, Sihem Amer-Yahia, Senjuti Basu Roy
Guided Task Planning Under Complex Constraints. ICDE (2022)
Yogendra Patil, Sihem Amer-Yahia, Srividya Subramanian
Designing the evaluation of operator-enabled interactive data exploration in VALIDE. HILDA@SIGMOD (2022)
Radu Ciucanu, Marta Soare, Sihem Amer-Yahia
Implementing Linear Bandits in Off-the-Shelf SQLite. EDBT (2022)
Sihem Amer-Yahia, Arnaud Soulet
Preface. Data Knowl. Eng. 142 (2022)
Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia
SoCRATe: A Recommendation System with Limited-Availability Items. CIKM (2022)
Dujian Ding, Sihem Amer-Yahia, Laks V. S. Lakshmanan
On Efficient Approximate Queries over Machine Learning Models. CoRR (2022)
Sandrine Da Col, Radu Ciucanu, Marta Soare, Nassim Bouarour, Sihem Amer-Yahia
DashBot: An ML-Guided Dashboard Generation System. CIKM (2021)
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)
Sihem Amer-Yahia, Laure Berti-Équille, Abdelouahab Chibah
A Framework for Statistically-Sound Customer Segment Search. DSAA (2021)
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) (2021)
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)
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)
Sihem Amer-Yahia, Senjuti Basu Roy
Data Management to Social Science and Back in the Future of Work. SIGMOD Conference (2021)
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) (2021)
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) (2021)
Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia
User-Driven Geolocated Event Detection in Social Media. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Abdelouahab Chibah, Sihem Amer-Yahia, Laure Berti-Équille
QeNoBi: A System for QuErying and mining BehavIoral Patterns. ICDE (2021)
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 (2021)
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) (2021)
Idir Benouaret, Mohamed Bouadi, Sihem Amer-Yahia
Multi-Objective Recommendations and Promotions at TOTAL. DEXA (2) (2021)
Sihem Amer-Yahia, Shady Elbassuoni, Ahmad Ghizzawi, Anas Hosami
Quantifying and Addressing Ranking Disparity in Human-Powered Data Acquisition. KDD (2021)
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 (2021)
Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia
How Useful is Meta-Recommendation? An Empirical Investigation. IEEE BigData (2021)
Sihem Amer-Yahia, Tova Milo, Brit Youngmann
SubDEx: Exploring Ratings in Subjective Databases. ICDE (2021)
Sihem Amer-Yahia, Tova Milo, Brit Youngmann
Exploring Ratings in Subjective Databases. SIGMOD Conference (2021)
Sihem Amer-Yahia, Georgia Koutrika, Frederic 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 (2021)
Shady Elbassuoni, Sihem Amer-Yahia, Ahmad Ghizzawi
Fairness of Scoring in Online Job Marketplaces. Trans. Data Sci. 1 (4) (2020)
Lei Chen, Sihem Amer-Yahia
VLDB SI survey editorial. VLDB J. 29 (1) (2020)
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) (2020)
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 (2020)
Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan
Cohort analytics: efficiency and applicability. VLDB J. 29 (6) (2020)
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 (2020)
Sihem Amer-Yahia, Jian Pei
VLDB SI 2018 editorial. VLDB J. 29 (2-3) (2020)
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)
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)
Dong Wei, Senjuti Basu Roy, Sihem Amer-Yahia
Recommending Deployment Strategies for Collaborative Tasks. SIGMOD Conference (2020)
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)
Sihem Amer-Yahia, Anh Tho Le, Eric Simon
Data Pipelines for Personalized Exploration of Rated Datasets. BIAS (2020)
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 (2020)
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)
Dong Wei, Senjuti Basu Roy, Sihem Amer-Yahia
Recommending Deployment Strategies for Collaborative Tasks. CoRR (2020)
Idir Benouaret, Sihem Amer-Yahia
A Comparative Evaluation of Top-N Recommendation Algorithms: Case Study with Total Customers. IEEE BigData (2020)
Behrooz Omidvar-Tehrani, Sihem Amer-Yahia
User Group Analytics Survey and Research Opportunities. IEEE Trans. Knowl. Data Eng. 32 (10) (2020)
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) (2020)
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)
Mariia Seleznova, Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Eric Simon
Guided Exploration of User Groups. Proc. VLDB Endow. 13 (9) (2020)
José F. Rodrigues Jr., Bruno Brandoli, Sihem Amer-Yahia
DermaDL: Advanced Convolutional Neural Networks for Automated Melanoma Detection. CBMS (2020)
Dong Wei, Senjuti Basu Roy, Sihem Amer-Yahia
Task Deployment Recommendation with Worker Availability. ICDE (2020)
Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Ria Mae Borromeo
User group analytics: hypothesis generation and exploratory analysis of user data. VLDB J. 28 (2) (2019)
Idir Benouaret, Sihem Amer-Yahia, Senjuti Basu Roy
An Efficient Greedy Algorithm for Sequence Recommendation. DEXA (1) (2019)
Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das
Optimized group formation for solving collaborative tasks. VLDB J. 28 (1) (2019)
Idir Benouaret, Sihem Amer-Yahia, Christiane Kamdem Kengne, Jalil Chagraoui
A Bi-Objective Approach for Product Recommendations. IEEE BigData (2019)
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) (2019)
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)
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) (2019)
José F. Rodrigues Jr., Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls. CoRR (2019)
Behrooz Omidvar-Tehrani, Sihem Amer-Yahia
Data Pipelines for User Group Analytics. SIGMOD Conference (2019)
Sihem Amer-Yahia, Shady Elbassuoni, Behrooz Omidvar-Tehrani, Ria Mae Borromeo, Mehrdad Farokhnejad
GroupTravel: Customizing Travel Packages for Groups. EDBT (2019)
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)
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)
Sihem Amer-Yahia, Lei Chen, Atsuyuki Morishima, Senjuti Basu Roy
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 42 (4) (2019)
Mohammadreza Esfandiari, Dong Wei, Sihem Amer-Yahia, Senjuti Basu Roy
Optimizing Peer Learning in Online Groups with Affinities. KDD (2019)
Sihem Amer-Yahia, Senjuti Basu Roy
The Ever Evolving Online Labor Market: Overview, Challenges and Opportunities. Proc. VLDB Endow. 12 (12) (2019)
Sihem Amer-Yahia, Lei Chen, Renée J. Miller
Thematic issue on data management for graphs. VLDB J. 28 (3) (2019)
Shady Elbassuoni, Sihem Amer-Yahia, Christine El Atie, Ahmad Ghizzawi, Bilel Oualha
Exploring Fairness of Ranking in Online Job Marketplaces. EDBT (2019)
Mohammadreza Esfandiari, Senjuti Basu Roy, Sihem Amer-Yahia
Eliciting Worker Preference for Task Completion. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sihem Amer-Yahia