Object Views and Updates. - Sihem Amer-Yahia; Philippe Brèche; Cássio Souza dos Santos (BDA, 1996)

Bulk-Loading Techniques for Object Databases and an Application to Relational Data. - Sihem Amer-Yahia; Sophie Cluet; Claude Delobel (VLDB, 1998)

On Bounding-Schemas for LDAP Directories. - Sihem Amer-Yahia; H. V. Jagadish; Laks V. S. Lakshmanan; Divesh Srivastava (EDBT, 2000)

Optimizing Queries on Compressed Bitmaps. - Sihem Amer-Yahia; Theodore Johnson (VLDB, 2000)

Minimization of Tree Pattern Queries. - Sihem Amer-Yahia; SungRan Cho; Laks V. S. Lakshmanan; Divesh Srivastava (SIGMOD Conference, 2001)

Logical and physical support for heterogeneous data. - Sihem Amer-Yahia; Mary F. Fernández; Rick Greer; Divesh Srivastava (CIKM, 2002)

Tree Pattern Relaxation. - Sihem Amer-Yahia; SungRan Cho; Divesh Srivastava (EDBT, 2002)

Techniques for Storing XM. - Mary F. Fernández; Sihem Amer-Yahia (ICDE, 2002)

Optimizing the Secure Evaluation of Twig Queries. - SungRan Cho; Sihem Amer-Yahia; Laks V. S. Lakshmanan; Divesh Srivastava (VLDB, 2002)

A mapping schema and interface for XML stores. - Sihem Amer-Yahia; Divesh Srivastava (WIDM, 2002)

Tree pattern query minimization. - Sihem Amer-Yahia; SungRan Cho; Laks V. S. Lakshmanan; Divesh Srivastava (VLDB J., 2002)

Efficient XML Data Exchange from Relations. - Sihem Amer-Yahia; Yannis Kotidis (BDA, 2003)

PIX: A System for Phrase Matching in XML Documents. - Sihem Amer-Yahia; Mary F. Fernández; Divesh Srivastava; Yu Xu (ICDE, 2003)

XML Publishing: Look at Siblings too! - Sihem Amer-Yahia; Yannis Kotidis; Divesh Srivastava (ICDE, 2003)

Approximate Matching in XML. - Sihem Amer-Yahia; Nick Koudas; Divesh Srivastava (ICDE, 2003)

PIX: Exact and Approximate Phrase Matching in XML. - Sihem Amer-Yahia; Mary F. Fernández; Divesh Srivastava; Yu Xu (SIGMOD Conference, 2003)

LockX: A System for Efficiently Querying Secure XML. - SungRan Cho; Sihem Amer-Yahia; Laks V. S. Lakshmanan; Divesh Srivastava (SIGMOD Conference, 2003)

Phrase Matching in XML. - Sihem Amer-Yahia; Mary F. Fernández; Divesh Srivastava; Yu Xu (VLDB, 2003)

Web-Services Architecture for Efficient XML Data Exchange. - Sihem Amer-Yahia; Yannis Kotidis (ICDE, 2004)

FleXPath: Flexible Structure and Full-Text Querying for XML. - Sihem Amer-Yahia; Laks V. S. Lakshmanan; Shashank Pandit (SIGMOD Conference, 2004)

A TeXQuery-Based XML Full-Text Search Engine. - Chavdar Botev; Jayavel Shanmugasundaram; Sihem Amer-Yahia (SIGMOD Conference, 2004)

ShreX: Managing XML Documents in Relational Databases. - Fang Du; Sihem Amer-Yahia; Juliana Freire (VLDB, 2004)

A comprehensive solution to the XML-to-relational mapping problem. - Sihem Amer-Yahia; Fang Du; Juliana Freire (WIDM, 2004)

Texquery: a full-text search extension to xquery. - Sihem Amer-Yahia; Chavdar Botev; Jayavel Shanmugasundaram (WWW, 2004)

Teaching Relational Optimizers About XML Processing. - Sihem Amer-Yahia; Yannis Kotidis; Divesh Srivastava (XSym, 2004)

Distributed Evaluation of Network Directory Queries. - Sihem Amer-Yahia; Divesh Srivastava; Dan Suciu (IEEE Trans. Knowl. Data Eng., 2004)

A declarative approach to optimize bulk loading into databases. - Sihem Amer-Yahia; Sophie Cluet (ACM Trans. Database Syst., 2004)

Adaptive Processing of Top-K Queries in XML. - Amélie Marian; Sihem Amer-Yahia; Nick Koudas; Divesh Srivastava (ICDE, 2005)

Personalizing XML Text Search in PimenT. - Sihem Amer-Yahia; Irini Fundulaki; Prateek Jain 003; Laks V. S. Lakshmanan (VLDB, 2005)

Structure and Content Scoring for XML. - Sihem Amer-Yahia; Nick Koudas; Amélie Marian; Divesh Srivastava; David Toman 001 (VLDB, 2005)

XML Full-Text Search: Challenges and Opportunities. - Sihem Amer-Yahia; Jayavel Shanmugasundaram (VLDB, 2005)

GalaTex: a conformant implementation of the XQuery full-text language. - Emiran Curtmola; Sihem Amer-Yahia; Philip Brown; Mary F. Fernández (WWW (Special interest tracks and posters), 2005)

Report on the DB/IR panel at SIGMOD 2005. - Sihem Amer-Yahia; Pat Case; Thomas Rölleke; Jayavel Shanmugasundaram; Gerhard Weikum (SIGMOD Rec., 2005)

Expressiveness and Performance of Full-Text Search Languages. - Chavdar Botev; Sihem Amer-Yahia; Jayavel Shanmugasundaram (EDBT, 2006)

Flexible and efficient XML search with complex full-text predicates. - Sihem Amer-Yahia; Emiran Curtmola; Alin Deutsch (SIGMOD Conference, 2006)

The power of structured data on the web. - Sihem Amer-Yahia (WIDM, 2006)

XQuery Full-Text extensions explained. - Sihem Amer-Yahia; Chavdar Botev; Jochen Dörre; Jayavel Shanmugasundaram (IBM Syst. J., 2006)

XML search: languages, INEX and scoring. - Sihem Amer-Yahia; Mounia Lalmas (SIGMOD Rec., 2006)

Personalizing XML Search in PIMENTO. - Sihem Amer-Yahia; Irini Fundulaki; Laks V. S. Lakshmanan (ICDE, 2007)

What does Web 2.0 have to do with databases? - Sihem Amer-Yahia; Alon Y. Halevy (VLDB, 2007)

XML retrieval: db/ir in theory, web in practice. - Mariano P. Consens; Ricardo A. Baeza-Yates; Mounia Lalmas; Sihem Amer-Yahia (VLDB, 2007)

Challenges in Searching Online Communities. - Sihem Amer-Yahia; Michael Benedikt; Philip Bohannon (IEEE Data Eng. Bull., 2007)

Optimizing Tree Pattern Queries over Secure XML Databases. - Wendy Hui Wang; Divesh Srivastava; Laks V. S. Lakshmanan; SungRan Cho; Sihem Amer-Yahia (Secure Data Management in Decentralized Systems, 2007)

Reviewing the Reviewers: Characterizing Biases and Competencies using Socially Meaningful Attributes. - Sihem Amer-Yahia; Andrei Z. Broder; Alban Galland (AAAI Spring Symposium: Social Information Processing, 2008)

Leveraging Tagging to Model User Interests in del.icio.us. - Julia Stoyanovich; Sihem Amer-Yahia; Cameron Marlow; Cong Yu 001 (AAAI Spring Symposium: Social Information Processing, 2008)

08111 Report - Ranked XML Querying. - Sihem Amer-Yahia; Djoerd Hiemstra; Thomas Rölleke; Divesh Srivastava; Gerhard Weikum (Ranked XML Querying, 2008)

08111 Abstracts Collection - Ranked XML Querying. - Sihem Amer-Yahia; Divesh Srivastava; Gerhard Weikum (Ranked XML Querying, 2008)

Personalizing XML Full Text Search in PIMENTO. - Irini Fundulaki; Sihem Amer-Yahia; Laks V. S. Lakshmanan (Ranked XML Querying, 2008)

Efficient Computation of Diverse Query Results. - Erik Vee; Utkarsh Srivastava; Jayavel Shanmugasundaram; Prashant Bhat; Sihem Amer-Yahia (ICDE, 2008)

From del.icio.us to x.qui.site: recommendations in social tagging sites. - Sihem Amer-Yahia; Alban Galland; Julia Stoyanovich; Cong Yu 001 (SIGMOD Conference, 2008)

Efficient network aware search in collaborative tagging sites. - Sihem Amer-Yahia; Michael Benedikt; Laks V. S. Lakshmanan; Julia Stoyanovich (Proc. VLDB Endow., 2008)

Efficient top-k processing over query-dependent functions. - Lin Guo; Sihem Amer-Yahia; Raghu Ramakrishnan 001; Jayavel Shanmugasundaram; Utkarsh Srivastava; Erik Vee (Proc. VLDB Endow., 2008)

DB&IR integration: report on the dagstuhl seminar. - Sihem Amer-Yahia; Djoerd Hiemstra; Thomas Roelleke; Divesh Srivastava; Gerhard Weikum (SIGIR Forum, 2008)

DB&IR integration: report on the Dagstuhl seminar "ranked XML querying". - Sihem Amer-Yahia; Djoerd Hiemstra; Thomas Roelleke; Divesh Srivastava; Gerhard Weikum (SIGMOD Rec., 2008)

Databases and Web 2.0 panel at VLDB 2007. - Sihem Amer-Yahia; Volker Markl; Alon Y. Halevy; AnHai Doan; Gustavo Alonso; Donald Kossmann; Gerhard Weikum (SIGMOD Rec., 2008)

SocialScope: Enabling Information Discovery on Social Content Sites. - Sihem Amer-Yahia; Laks V. S. Lakshmanan; Cong Yu 001 (CIDR, 2009)

Rank-aware clustering of structured datasets. - Julia Stoyanovich; Sihem Amer-Yahia (CIKM, 2009)

It takes variety to make a world: diversification in recommender systems. - Cong Yu 001; Laks V. S. Lakshmanan; Sihem Amer-Yahia (EDBT, 2009)

Leveraging communities in social content sites. - Sihem Amer-Yahia; Cong Yu 001 (EDBT/ICDT Workshops, 2009)

Jelly: A Language for Building Community-Centric Information Exploration Applications. - Sihem Amer-Yahia; Jian Huang; Cong Yu 001 (ICDE, 2009)

Recommendation Diversification Using Explanations. - Cong Yu 001; Laks V. S. Lakshmanan; Sihem Amer-Yahia (ICDE, 2009)

Getting recommender systems to think outside the box. - Zeinab Abbassi; Sihem Amer-Yahia; Laks V. S. Lakshmanan; Sergei Vassilvitskii; Cong Yu 001 (RecSys, 2009)

Building community-centric information exploration applications on social content sites. - Sihem Amer-Yahia; Jian Huang; Cong Yu 001 (SIGMOD Conference, 2009)

Letter from the Special Issue Editor. - Sihem Amer-Yahia (IEEE Data Eng. Bull., 2009)

Battling Predictability and Overconcentration in Recommender Systems. - Sihem Amer-Yahia; Laks V. S. Lakshmanan; Sergei Vassilvitskii; Cong Yu 001 (IEEE Data Eng. Bull., 2009)

Efficient Computation of Diverse Query Results. - Erik Vee; Jayavel Shanmugasundaram; Sihem Amer-Yahia (IEEE Data Eng. Bull., 2009)

Group Recommendation: Semantics and Efficiency. - Sihem Amer-Yahia; Senjuti Basu Roy; Ashish Chawla; Gautam Das 001; Cong Yu 001 (Proc. VLDB Endow., 2009)

Third int'l workshop on "personalized access, profile management, and context awareness in databases" (PersDB 2009). - Sihem Amer-Yahia; Georgia Koutrika (SIGMOD Rec., 2009)

Automatic construction of travel itineraries using social breadcrumbs. - Munmun De Choudhury; Moran Feldman; Sihem Amer-Yahia; Nadav Golbandi; Ronny Lempel; Cong Yu 001 (HT, 2010)

Relevance and ranking in online dating systems. - Fernando Diaz 001; Donald Metzler; Sihem Amer-Yahia (SIGIR, 2010)

Crowds, clouds, and algorithms: exploring the human side of "big data" applications. - Sihem Amer-Yahia; AnHai Doan; Jon M. Kleinberg; Nick Koudas; Michael J. Franklin (SIGMOD Conference, 2010)

Constructing and exploring composite items. - Senjuti Basu Roy; Sihem Amer-Yahia; Ashish Chawla; Gautam Das 001; Cong Yu 001 (SIGMOD Conference, 2010)

Constructing travel itineraries from tagged geo-temporal breadcrumbs. - Munmun De Choudhury; Moran Feldman; Sihem Amer-Yahia; Nadav Golbandi; Ronny Lempel; Cong Yu 001 (WWW, 2010)

Space efficiency in group recommendation. - Senjuti Basu Roy; Sihem Amer-Yahia; Ashish Chawla; Gautam Das 001; Cong Yu 001 (VLDB J., 2010)

I am complex: cluster me, don't just rank me. - Sihem Amer-Yahia (BEWEB, 2011)

Making interval-based clustering rank-aware. - Julia Stoyanovich; Sihem Amer-Yahia; Tova Milo (EDBT, 2011)

Interactive itinerary planning. - Senjuti Basu Roy; Gautam Das 001; Sihem Amer-Yahia; Cong Yu 001 (ICDE, 2011)

Recommendation Projects at Yahoo! - Sihem Amer-Yahia (IEEE Data Eng. Bull., 2011)

MRI: Meaningful Interpretations of Collaborative Ratings. - Mahashweta Das; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (Proc. VLDB Endow., 2011)

User Activity Analytics on the Social Web of News. - Sihem Amer-Yahia (COMAD, 2012)

MAQSA: a system for social analytics on news. - Sihem Amer-Yahia; Samreen Anjum; Amira Ghenai; Aysha Siddique; Sofiane Abbar; Sam Madden 001; Adam Marcus 002; Mohammed El-Haddad (SIGMOD Conference, 2012)

Crowd Sourcing Literature Review in SUNFLOWER. - Sihem Amer-Yahia (CrowdSearch, 2012)

Who Tags What? An Analysis Framework. - Mahashweta Das; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (Proc. VLDB Endow., 2012)

MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings. - Saravanan Thirumuruganathan; Mahashweta Das; Shrikant Desai; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (Proc. VLDB Endow., 2012)

Understanding Local Structure in Ranked Datasets. - Julia Stoyanovich; Sihem Amer-Yahia; Susan B. Davidson; Marie Jacob; Tova Milo (CIDR, 2013)

Diverse near neighbor problem. - Sofiane Abbar; Sihem Amer-Yahia; Piotr Indyk; Sepideh Mahabadi; Kasturi R. Varadarajan (SoCG, 2013)

Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing. - Senjuti Basu Roy; Ioanna Lykourentzou; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (DBCrowd, 2013)

Towards a Framework for Semantic Exploration of Frequent Patterns. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia; Alexandre Termier; Aurélie Bertaux; Éric Gaussier; Marie-Christine Rousset (IMMoA, 2013)

Tweet4act: Using incident-specific profiles for classifying crisis-related messages. - Soudip Roy Chowdhury; Muhammad Imran 002; Muhammad Rizwan Asghar; Sihem Amer-Yahia; Carlos Castillo 001 (ISCRAM, 2013)

Efficient sentiment correlation for large-scale demographics. - Mikalai Tsytsarau; Sihem Amer-Yahia; Themis Palpanas (SIGMOD Conference, 2013)

Real-time recommendation of diverse related articles. - Sofiane Abbar; Sihem Amer-Yahia; Piotr Indyk; Sepideh Mahabadi (WWW, 2013)

Complexity and algorithms for composite retrieval. - Sihem Amer-Yahia; Francesco Bonchi; Carlos Castillo 001; Esteban Feuerstein; Isabel Méndez-Díaz; Paula Zabala (WWW (Companion Volume), 2013)

Profile diversity in search and recommendation. - Maximilien Servajean; Esther Pacitti; Sihem Amer-Yahia; Pascal Neveu (WWW (Companion Volume), 2013)

Front Matter. - Sihem Amer-Yahia; Stefan Manegold (Proc. VLDB Endow., 2013)

Exploiting Diversification in Gossip-Based Recommendation. - Maximilien Servajean; Esther Pacitti; Miguel Liroz-Gistau; Sihem Amer-Yahia; Amr El Abbadi (Globe, 2014)

Crowd4U: An Initiative for Constructing an Open Academic Crowdsourcing Network. - Atsuyuki Morishima; Sihem Amer-Yahia; Senjuti Basu Roy (HCOMP, 2014)

An Approach to Diversify Entity Search Results. - Imène Saidi; Sihem Amer-Yahia; Safia Nait Bahloul (ICAASE, 2014)

Exploiting group recommendation functions for flexible preferences. - Senjuti Basu Roy; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (ICDE, 2014)

Optimization in Knowledge-Intensive Crowdsourcing. - Senjuti Basu Roy; Ioanna Lykourentzou; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (CoRR, 2014)

SOCLE: Towards a framework for data preparation in social applications. - Sihem Amer-Yahia; Noha Ibrahim; Christiane Kamdem Kengne; Federico Ulliana; Marie-Christine Rousset (Ingénierie des Systèmes d Inf., 2014)

Diversité dans la recherche d'entités. - Imène Saidi; Sihem Amer-Yahia; Safia Nait Bahloul (Ingénierie des Systèmes d Inf., 2014)

Composite Retrieval of Diverse and Complementary Bundles. - Sihem Amer-Yahia; Francesco Bonchi; Carlos Castillo 001; Esteban Feuerstein; Isabel Méndez-Díaz; Paula Zabala (IEEE Trans. Knowl. Data Eng., 2014)

An expressive framework and efficient algorithms for the analysis of collaborative tagging. - Mahashweta Das; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001; Cong Yu 001 (VLDB J., 2014)

Querying Temporal Drifts at Multiple Granularities. - Sofia Kleisarchaki; Sihem Amer-Yahia; Ahlame Douzal Chouakria; Vassilis Christophides (CIKM, 2015)

Building Representative Composite Items. - Vincent Leroy 001; Sihem Amer-Yahia; Éric Gaussier; Seyed Hamid Mirisaee (CIKM, 2015)

Interactive User Group Analysis. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia; Alexandre Termier (CIKM, 2015)

Discovering characterizing regions for consumer products. - Shashwat Mishra; Vincent Leroy 001; Sihem Amer-Yahia (DSAA, 2015)

Group Recommendation with Temporal Affinities. - Sihem Amer-Yahia; Behrooz Omidvar-Tehrani; Senjuti Basu Roy; Nafiseh Shabib (EDBT, 2015)

ECCO- A Framework for Ecological Data Collection and Management Involving Human Workers. - Senjuti Basu Roy; Sihem Amer-Yahia; Lucas Joppa (EDBT, 2015)

Acquiring Reliable Ratings from the Crowd. - Beatrice Valeri; Shady Elbassuoni; Sihem Amer-Yahia (HCOMP, 2015)

Task Assignment Optimization in Collaborative Crowdsourcing. - Habibur Rahman 001; Senjuti Basu Roy; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (ICDM, 2015)

From Complex Object Exploration to Complex Crowdsourcing. - Sihem Amer-Yahia; Senjuti Basu Roy (WWW (Companion Volume), 2015)

"The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing. - Habibur Rahman 001; Senjuti Basu Roy; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (CoRR, 2015)

Profile Diversity for Query Processing using User Recommendations. - Maximilien Servajean; Reza Akbarinia; Esther Pacitti; Sihem Amer-Yahia (Inf. Syst., 2015)

PGLCM: efficient parallel mining of closed frequent gradual itemsets. - Trong Dinh Thac Do; Alexandre Termier; Anne Laurent; Benjamin Négrevergne; Behrooz Omidvar-Tehrani; Sihem Amer-Yahia (Knowl. Inf. Syst., 2015)

Worker Skill Estimation in Team-Based Tasks. - Habibur Rahman 001; Saravanan Thirumuruganathan; Senjuti Basu Roy; Sihem Amer-Yahia; Gautam Das 001 (Proc. VLDB Endow., 2015)

Increasing Coverage in Distributed Search and Recommendation with Profile Diversity. - Maximilien Servajean; Esther Pacitti; Miguel Liroz-Gistau; Sihem Amer-Yahia; Amr El Abbadi (Trans. Large Scale Data Knowl. Centered Syst., 2015)

Task assignment optimization in knowledge-intensive crowdsourcing. - Senjuti Basu Roy; Ioanna Lykourentzou; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (VLDB J., 2015)

TopPI: An Efficient Algorithm for Item-Centric Mining. - Martin Kirchgessner; Vincent Leroy 001; Alexandre Termier; Sihem Amer-Yahia; Marie-Christine Rousset (DaWaK, 2016)

Task Composition in Crowdsourcing. - Sihem Amer-Yahia; Éric Gaussier; Vincent Leroy 001; Julien Pilourdault; Ria Mae Borromeo; Motomichi Toyama (DSAA, 2016)

Testing Interestingness Measures in Practice: A Large-Scale Analysis of Buying Patterns. - Martin Kirchgessner; Vincent Leroy 001; Sihem Amer-Yahia; Shashwat Mishra (DSAA, 2016)

Multi-Objective Group Discovery on the Social Web. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia; Pierre-François Dutot; Denis Trystram (ECML/PKDD (1), 2016)

Health Monitoring on Social Media over Time. - Sumit Sidana; Shashwat Mishra; Sihem Amer-Yahia; Marianne Clausel; Massih-Reza Amini (SIGIR, 2016)

Distributed Evaluation of Top-k Temporal Joins. - Julien Pilourdault; Vincent Leroy 001; Sihem Amer-Yahia (SIGMOD Conference, 2016)

Crowdsourcing Reliable Ratings for Underexposed Items. - Beatrice Valeri; Shady Elbassuoni; Sihem Amer-Yahia (WEBIST (2), 2016)

Querying Temporal Drifts at Multiple Granularities (Technical Report). - Sofia Kleisarchaki; Sihem Amer-Yahia; Ahlame Douzal Chouakria; Vassilis Christophides (CoRR, 2016)

Toward Worker-Centric Crowdsourcing. - Sihem Amer-Yahia; Senjuti Basu Roy (IEEE Data Eng. Bull., 2016)

Introduction. - Sihem Amer-Yahia (Ingénierie des Systèmes d Inf., 2016)

Human Factors in Crowdsourcing. - Sihem Amer-Yahia; Senjuti Basu Roy (Proc. VLDB Endow., 2016)

Collaborative Crowdsourcing with Crowd4U. - Kosetsu Ikeda; Atsuyuki Morishima; Habibur Rahman 001; Senjuti Basu Roy; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (Proc. VLDB Endow., 2016)

A Survey of General-Purpose Crowdsourcing Techniques. - Anand Inasu Chittilappilly; Lei Chen 002; Sihem Amer-Yahia (IEEE Trans. Knowl. Data Eng., 2016)

Toward Interactive User Data Analytics. - Sihem Amer-Yahia (BICOD, 2017)

Online Lattice-Based Abstraction of User Groups. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia (DEXA (1), 2017)

Customizing Travel Packages with Interactive Composite Items. - Manish Singh 002; Ria Mae Borromeo; Anas Hosami; Sihem Amer-Yahia; Shady Elbassuoni (DSAA, 2017)

Crowdsourcing Strategies for Text Creation Tasks. - Ria Mae Borromeo; Maha Alsayasneh; Sihem Amer-Yahia; Vincent Leroy 001 (EDBT, 2017)

Fairness and Transparency in Crowdsourcing. - Ria Mae Borromeo; Thomas Laurent 003; Motomichi Toyama; Sihem Amer-Yahia (EDBT, 2017)

Motivation-Aware Task Assignment in Crowdsourcing. - Julien Pilourdault; Sihem Amer-Yahia; Dongwon Lee 001; Senjuti Basu Roy (EDBT, 2017)

Exploring Rated Datasets with Rating Maps. - Sihem Amer-Yahia; Sofia Kleisarchaki; Naresh Kumar Kolloju; Laks V. S. Lakshmanan; Ruben H. Zamar (WWW, 2017)

Colloquial region discovery for retail products: discovery and application. - Shashwat Mishra; Vincent Leroy 001; Sihem Amer-Yahia (Int. J. Data Sci. Anal., 2017)

Deployment strategies for crowdsourcing text creation. - Ria Mae Borromeo; Thomas Laurent 003; Motomichi Toyama; Maha Alsayasneh; Sihem Amer-Yahia; Vincent Leroy 001 (Inf. Syst., 2017)

TopPI: An efficient algorithm for item-centric mining. - Vincent Leroy 001; Martin Kirchgessner; Alexandre Termier; Sihem Amer-Yahia (Inf. Syst., 2017)

Explicit Preference Elicitation for Task Completion Time. - Mohammadreza Esfandiari; Senjuti Basu Roy; Sihem Amer-Yahia (CIKM, 2018)

User Group Analytics: Discovery, Exploration and Visualization. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia (CIKM, 2018)

Scalable Active Constrained Clustering for Temporal Data. - Son T. Mai; Sihem Amer-Yahia; Ahlame Douzal Chouakria; Ky T. Nguyen; Anh-Duong Nguyen (DASFAA (1), 2018)

Cohort Representation and Exploration. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia; Laks V. S. Lakshmanan (DSAA, 2018)

Interactive Exploration of Composite Items. - Sihem Amer-Yahia; Senjuti Basu Roy (EDBT, 2018)

Scalable Active Temporal Constrained Clustering. - Son T. Mai; Sihem Amer-Yahia; Ahlame Douzal Chouakria (EDBT, 2018)

Human Factors in Data Science. - Sihem Amer-Yahia (ICDE, 2018)

Exploration of User Groups in VEXUS. - Sihem Amer-Yahia; Behrooz Omidvar-Tehrani; João Comba; Viviane P. Moreira; Fabian Colque Zegarra (ICDE, 2018)

Task Relevance and Diversity as Worker Motivation in Crowdsourcing. - Julien Pilourdault; Sihem Amer-Yahia; Senjuti Basu Roy; Dongwon Lee 001 (ICDE, 2018)

Crowdsourcing Analytics With CrowdCur. - Mohammadreza Esfandiari; Kavan Bharat Patel; Sihem Amer-Yahia; Senjuti Basu Roy (SIGMOD Conference, 2018)

Eliciting Worker Preference for Task Completion. - Mohammadreza Esfandiari; Senjuti Basu Roy; Sihem Amer-Yahia (CoRR, 2018)

Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis. - Son T. Mai; Sihem Amer-Yahia; Sébastien Bailly; Jean Louis Pépin; Ahlame Douzal Chouakria; Ky T. Nguyen; Anh-Duong Nguyen (Data Sci. Eng., 2018)

Front Matter. - Sihem Amer-Yahia; Jian Pei 001 (Proc. VLDB Endow., 2018)

Personalized and Diverse Task Composition in Crowdsourcing. - Maha Alsayasneh; Sihem Amer-Yahia; Éric Gaussier; Vincent Leroy 001; Julien Pilourdault; Ria Mae Borromeo; Motomichi Toyama; Jean-Michel Renders (IEEE Trans. Knowl. Data Eng., 2018)

Health Monitoring on Social Media over Time. - Sumit Sidana; Sihem Amer-Yahia; Marianne Clausel; Majdeddine Rebai; Son T. Mai; Massih-Reza Amini (IEEE Trans. Knowl. Data Eng., 2018)

Text Analytics in Social Media. - Sihem Amer-Yahia; Sofiane Abbar; Noha Ibrahim (Encyclopedia of Database Systems (2nd ed.), 2018)

Structure Analytics in Social Media. - Sihem Amer-Yahia; Mahashweta Das; Gautam Das 001; Saravanan Thirumuruganathan; Cong Yu 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Temporal Analytics in Social Media. - Sihem Amer-Yahia; Themis Palpanas; Mikalai Tsytsarau; Sofia Kleisarchaki; Ahlame Douzal; Vassilis Christophides (Encyclopedia of Database Systems (2nd ed.), 2018)

Human Factors Modeling in Crowdsourcing. - Sihem Amer-Yahia; Senjuti Basu Roy; Gautam Das 001; Ioanna Lykourentzou; Habibur Rahman 001; Saravanan Thirumuruganathan (Encyclopedia of Database Systems (2nd ed.), 2018)

Interactive Analytics in Social Media. - Sihem Amer-Yahia; Alexandre Termier; Behrooz Omidvar-Tehrani (Encyclopedia of Database Systems (2nd ed.), 2018)

Social Media Analytics. - Sihem Amer-Yahia; Alexandre Termier; Behrooz Omidvar-Tehrani (Encyclopedia of Database Systems (2nd ed.), 2018)

A Bi-Objective Approach for Product Recommendations. - Idir Benouaret; Sihem Amer-Yahia; Christiane Kamdem Kengne; Jalil Chagraoui (IEEE BigData, 2019)

An Efficient Greedy Algorithm for Sequence Recommendation. - Idir Benouaret; Sihem Amer-Yahia; Senjuti Basu Roy (DEXA (1), 2019)

GroupTravel: Customizing Travel Packages for Groups. - Sihem Amer-Yahia; Shady Elbassuoni; Behrooz Omidvar-Tehrani; Ria Mae Borromeo; Mehrdad Farokhnejad (EDBT, 2019)

Exploring Fairness of Ranking in Online Job Marketplaces. - Shady Elbassuoni; Sihem Amer-Yahia; Christine El Atie; Ahmad Ghizzawi; Bilel Oualha (EDBT, 2019)

FaiRank: An Interactive System to Explore Fairness of Ranking in Online Job Marketplaces. - Ahmad Ghizzawi; Julien Marinescu; Shady Elbassuoni; Sihem Amer-Yahia; Gilles Bisson (EDBT, 2019)

Optimizing Peer Learning in Online Groups with Affinities. - Mohammadreza Esfandiari; Dong Wei 001; Sihem Amer-Yahia; Senjuti Basu Roy (KDD, 2019)

Data Pipelines for User Group Analytics. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia (SIGMOD Conference, 2019)

UserDEV: A Mixed-Initiative System for User Group Analytics. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia; Eric Simon; Fabian Colque Zegarra; João Luiz Dihl Comba; Viviane P. Moreira (HILDA@SIGMOD, 2019)

Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls. - José F. Rodrigues Jr.; Gabriel Spadon; Bruno Brandoli; Sihem Amer-Yahia (CoRR, 2019)

Letter from the Special Issue Editor. - Sihem Amer-Yahia; Lei Chen 002; Atsuyuki Morishima; Senjuti Basu Roy (IEEE Data Eng. Bull., 2019)

The Ever Evolving Online Labor Market: Overview, Challenges and Opportunities. - Sihem Amer-Yahia; Senjuti Basu Roy (Proc. VLDB Endow., 2019)

COVIZ: A System for Visual Formation and Exploration of Patient Cohorts. - Cícero A. L. Pahins; Behrooz Omidvar-Tehrani; Sihem Amer-Yahia; Valérie Siroux; Jean Louis Pépin; Jean-Christian Borel; João Comba (Proc. VLDB Endow., 2019)

Human-in-the-loop Big Data and AI: Connecting Theories and Practices for a Better Future of Work (NII Shonan Meeting 154). - Sihem Amer-Yahia; Senjuti Basu Roy; Lei Chen 002; Atsuyuki Morishima (NII Shonan Meet. Rep., 2019)

Scalable Interactive Dynamic Graph Clustering on Multicore CPUs. - Son T. Mai; Sihem Amer-Yahia; Ira Assent; Mathias Skovgaard Birk; Martin Storgaard Dieu; Jon Jacobsen; Jesper Kristensen (IEEE Trans. Knowl. Data Eng., 2019)

Thematic issue on data management for graphs. - Sihem Amer-Yahia; Lei Chen 002; Renée J. Miller (VLDB J., 2019)

User group analytics: hypothesis generation and exploratory analysis of user data. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia; Ria Mae Borromeo (VLDB J., 2019)

Optimized group formation for solving collaborative tasks. - Habibur Rahman 001; Senjuti Basu Roy; Saravanan Thirumuruganathan; Sihem Amer-Yahia; Gautam Das 001 (VLDB J., 2019)

Data Pipelines for Personalized Exploration of Rated Datasets. - Sihem Amer-Yahia; Anh Tho Le; Eric Simon (BIAS, 2020)

A Comparative Evaluation of Top-N Recommendation Algorithms: Case Study with Total Customers. - Idir Benouaret; Sihem Amer-Yahia (IEEE BigData, 2020)

Augmentation Techniques for Sequential Clinical Data to Improve Deep Learning Prediction Techniques. - Alexander Ylnner Choquenaira Florez; Lucas C. Scabora; Sihem Amer-Yahia; José Fernando Rodrigues Júnior (CBMS, 2020)

DermaDL: Advanced Convolutional Neural Networks for Automated Melanoma Detection. - José F. Rodrigues Jr.; Bruno Brandoli; Sihem Amer-Yahia (CBMS, 2020)

Lig-Doctor: Real-World Clinical Prognosis using a Bi-Directional Neural Network. - José F. Rodrigues Jr.; Gabriel Spadon; Bruno Brandoli; Sihem Amer-Yahia (CBMS, 2020)

An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening. - José F. Rodrigues Jr.; Jean Louis Pépin; Lorraine Goeuriot; Sihem Amer-Yahia (CIKM, 2020)

Fairness in Online Jobs: A Case Study on TaskRabbit and Google. - Sihem Amer-Yahia; Shady Elbassuoni; Ahmad Ghizzawi; Ria Mae Borromeo; Emilie Hoareau; Philippe Mulhem (EDBT, 2020)

Task Deployment Recommendation with Worker Availability. - Dong Wei 001; Senjuti Basu Roy; Sihem Amer-Yahia (ICDE, 2020)

Interactive Generation and Customization of Travel Packages for Individuals and Groups. - Sihem Amer-Yahia; Ria Mae Borromeo; Shady Elbassuoni; Behrooz Omidvar-Tehrani; Sruthi Viswanathan (IUI Companion, 2020)

Recommending Deployment Strategies for Collaborative Tasks. - Dong Wei 001; Senjuti Basu Roy; Sihem Amer-Yahia (SIGMOD Conference, 2020)

DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods. - Bruno Brandoli; Gabriel Spadon; Travis J. Esau; Patrick Hennessy; André C. P. L. F. de Carvalho; José F. Rodrigues Jr.; Sihem Amer-Yahia (CoRR, 2020)

An ML-Powered Human Behavior Management System. - Sihem Amer-Yahia; Reynold Cheng; Mohamed Bouadi; Abdelouahab Chibah; Mohammadreza Esfandiari; Jiangping Zhou; Nan Zhang; Eric Lau; Yuguo Li; Xiaolin Han 002; Shivansh Mittal (IEEE Data Eng. Bull., 2020)

Visual exploration of rating datasets and user groups. - Fabian Colque Zegarra; Juan C. Carbajal Ipenza; Behrooz Omidvar-Tehrani; Viviane P. Moreira; Sihem Amer-Yahia; João Luiz Dihl Comba (Future Gener. Comput. Syst., 2020)

Guided Exploration of User Groups. - Mariia Seleznova; Behrooz Omidvar-Tehrani; Sihem Amer-Yahia; Eric Simon (Proc. VLDB Endow., 2020)

Making AI Machines Work for Humans in FoW. - Sihem Amer-Yahia; Senjuti Basu Roy; Lei Chen 002; Atsuyuki Morishima; James Abello Monedero; Pierre Bourhis; François Charoy; Marina Danilevsky; Gautam Das 001; Gianluca Demartini; Shady Elbassuoni; David Gross-Amblard; et al. (SIGMOD Rec., 2020)

Fairness of Scoring in Online Job Marketplaces. - Shady Elbassuoni; Sihem Amer-Yahia; Ahmad Ghizzawi (Trans. Data Sci., 2020)

User Group Analytics Survey and Research Opportunities. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia (IEEE Trans. Knowl. Data Eng., 2020)

Enabling Decision Support Through Ranking and Summarization of Association Rules for TOTAL Customers. - Idir Benouaret; Sihem Amer-Yahia; Senjuti Basu Roy; Christiane Kamdem Kengne; Jalil Chagraoui (Trans. Large Scale Data Knowl. Centered Syst., 2020)

VLDB SI 2018 editorial. - Sihem Amer-Yahia; Jian Pei 001 (VLDB J., 2020)

VLDB SI survey editorial. - Lei Chen 002; Sihem Amer-Yahia (VLDB J., 2020)

Cohort analytics: efficiency and applicability. - Behrooz Omidvar-Tehrani; Sihem Amer-Yahia; Laks V. S. Lakshmanan (VLDB J., 2020)

How Useful is Meta-Recommendation? An Empirical Investigation. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (IEEE BigData, 2021)

DashBot: An ML-Guided Dashboard Generation System. - Sandrine Da Col; Radu Ciucanu; Marta Soare; Nassim Bouarour; Sihem Amer-Yahia (CIKM, 2021)

DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning. - Aurélien Personnaz; Sihem Amer-Yahia; Laure Berti-Équille; Maximilian Fabricius; Srividya Subramanian (CIKM, 2021)

Multi-Objective Recommendations and Promotions at TOTAL. - Idir Benouaret; Mohamed Bouadi; Sihem Amer-Yahia (DEXA (2), 2021)

A Framework for Statistically-Sound Customer Segment Search. - Sihem Amer-Yahia; Laure Berti-Équille; Abdelouahab Chibah (DSAA, 2021)

SubDEx: Exploring Ratings in Subjective Databases. - Sihem Amer-Yahia; Tova Milo; Brit Youngmann (ICDE, 2021)

QeNoBi: A System for QuErying and mining BehavIoral Patterns. - Abdelouahab Chibah; Sihem Amer-Yahia; Laure Berti-Équille (ICDE, 2021)

Quantifying and Addressing Ranking Disparity in Human-Powered Data Acquisition. - Sihem Amer-Yahia; Shady Elbassuoni; Ahmad Ghizzawi; Anas Hosami (KDD, 2021)

Exploring Ratings in Subjective Databases. - Sihem Amer-Yahia; Tova Milo; Brit Youngmann (SIGMOD Conference, 2021)

Data Management to Social Science and Back in the Future of Work. - Sihem Amer-Yahia; Senjuti Basu Roy (SIGMOD Conference, 2021)

Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning. - Aurélien Personnaz; Sihem Amer-Yahia; Laure Berti-Équille; Maximilian Fabricius; Srividya Subramanian (aiDM@SIGMOD, 2021)

Multi-Session Diversity to Improve User Satisfaction in Web Applications. - Mohammadreza Esfandiari; Ria Mae Borromeo; Sepideh Nikookar; Paras Sakharkar; Sihem Amer-Yahia; Senjuti Basu Roy (WWW, 2021)

DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage. - Bruno Brandoli; Gabriel Spadon; Travis J. Esau; Patrick Hennessy; André C. P. L. F. de Carvalho; Sihem Amer-Yahia; José F. Rodrigues Jr. (Comput. Electron. Agric., 2021)

INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]. - 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; et al. (CoRR, 2021)

LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. - José F. Rodrigues Jr.; Marco A. Gutierrez 001; Gabriel Spadon; Bruno Brandoli; Sihem Amer-Yahia (Inf. Sci., 2021)

Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts. - Jamil Zaghir; José F. Rodrigues Jr.; Lorraine Goeuriot; Sihem Amer-Yahia (J. Heal. Informatics Res., 2021)

Task Assignment Strategies for Crowd Worker Ability Improvement. - Masaki Matsubara; Ria Mae Borromeo; Sihem Amer-Yahia; Atsuyuki Morishima (Proc. ACM Hum. Comput. Interact., 2021)

INODE: Building an End-to-End Data Exploration System in Practice. - Sihem Amer-Yahia; Georgia Koutrika; Martin Braschler; Diego Calvanese; Davide Lanti; Hendrik Lücke-Tieke; Alessandro Mosca 001; Tarcisio Mendes de Farias; Dimitris Papadopoulos; Yogendra Patil; Guillem Rull; Ellery Smith; et al. (SIGMOD Rec., 2021)

DermaDL: Advanced Convolutional Neural Networks for Computer-Aided Skin-Lesion Classification. - Daniel Mario de Lima; José F. Rodrigues Jr.; Bruno Brandoli; Lorraine Goeuriot; Sihem Amer-Yahia (SN Comput. Sci., 2021)

User-Driven Geolocated Event Detection in Social Media. - Anes Bendimerad; Marc Plantevit; Céline Robardet; Sihem Amer-Yahia (IEEE Trans. Knowl. Data Eng., 2021)

Learning Diversity Attributes in Multi-Session Recommendations. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (IEEE Big Data, 2022)

SoCRATe: A Recommendation System with Limited-Availability Items. - Davide Azzalini; Fabio Azzalini; Chiara Criscuolo; Tommaso Dolci; Davide Martinenghi; Sihem Amer-Yahia (CIKM, 2022)

Guided Text-based Item Exploration. - Behrooz Omidvar-Tehrani; Aurélien Personnaz; Sihem Amer-Yahia (CIKM, 2022)

FeReD: Federated Reinforcement Learning in the DBMS. - Sotirios Tzamaras; Radu Ciucanu; Marta Soare; Sihem Amer-Yahia (CIKM, 2022)

Implementing Linear Bandits in Off-the-Shelf SQLite. - Radu Ciucanu; Marta Soare; Sihem Amer-Yahia (EDBT, 2022)

Samba: A System for Secure Federated Multi-Armed Bandits. - Gaël Marcadet; Radu Ciucanu; Pascal Lafourcade 001; Marta Soare; Sihem Amer-Yahia (ICDE, 2022)

Guided Task Planning Under Complex Constraints. - Sepideh Nikookar; Paras Sakharkar; Baljinder Smagh; Sihem Amer-Yahia; Senjuti Basu Roy (ICDE, 2022)

SoCRATe: a Framework for Compensating Users Over Time with Limited Availability Recommendations. - Davide Azzalini; Fabio Azzalini; Chiara Criscuolo; Tommaso Dolci; Davide Martinenghi; Letizia Tanca; Sihem Amer-Yahia (SEBD, 2022)

Publication Culture and Review Processes in the Data Management Community: An Open Discussion. - Sihem Amer-Yahia; Sourav S. Bhowmick; Xin Luna Dong; Stratos Idreos; Wolfgang Lehner; Divesh Srivastava (SIGMOD Conference, 2022)

Designing the evaluation of operator-enabled interactive data exploration in VALIDE. - Yogendra Patil; Sihem Amer-Yahia; Srividya Subramanian (HILDA@SIGMOD, 2022)

Significance and Coverage in Group Testing on the Social Web. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (WWW, 2022)

Preface. - Sihem Amer-Yahia; Arnaud Soulet (Data Knowl. Eng., 2022)

Incremental Density-Based Clustering on Multicore Processors. - Son T. Mai; Jon Jacobsen; Sihem Amer-Yahia; Ivor T. A. Spence; Nhat-Phuong Tran; Ira Assent; Quoc Viet Hung Nguyen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Towards AI-Powered Data-Driven Education. - Sihem Amer-Yahia (Proc. VLDB Endow., 2022)

On Efficient Approximate Queries over Machine Learning Models. - Dujian Ding; Sihem Amer-Yahia; Laks V. S. Lakshmanan (Proc. VLDB Endow., 2022)

EDA4SUM: Guided Exploration of Data Summaries. - Aurélien Personnaz; Brit Youngmann; Sihem Amer-Yahia (Proc. VLDB Endow., 2022)

Guided Exploration of Data Summaries. - Brit Youngmann; Sihem Amer-Yahia; Aurélien Personnaz (Proc. VLDB Endow., 2022)

Diversity and Inclusion Activities in EGC - A 2022 Report. - Sihem Amer-Yahia; Angela Bonifati; Cécile Favre; Élisa Fromont; Nicolas Labroche; Guy Melançon; Florence Sèdes; Arnaud Soulet; Alexandre Termier (SIGKDD Explor., 2022)

Diversity and Inclusion Activities in Database Conferences: A 2021 Report. - 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; et al. (SIGMOD Rec., 2022)

Optimizing Data Coverage and Significance in Multiple Hypothesis Testing on User Groups. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (Trans. Large Scale Data Knowl. Centered Syst., 2022)

Adaptive Test Recommendation for Mastery Learning. - Nassim Bouarour; Idir Benouaret; Cédric D'Ham; Sihem Amer-Yahia (DataEd@SIGMOD, 2023)

Data Narration for the People: Challenges and Opportunities. - Sihem Amer-Yahia; Patrick Marcel; Verónika Peralta (EDBT, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

PACMMOD V1 N1 Editorial - Welcome to PACMMOD. - Divyakant Agrawal; Sihem Amer-Yahia; K. Selcuk Candan (Proc. ACM Manag. Data, 2023)

PACMMOD V1 N2 Editorial. - Divyakant Agrawal; Sihem Amer-Yahia; K. Selçuk Candan; Avrilia Floratou; Hakan Hacigümüs (Proc. ACM Manag. Data, 2023)

SHEVA: A Visual Analytics System for Statistical Hypothesis Exploration. - Vicente Nejar de Almeida; Eduardo Ferreira Ribeiro; Nassim Bouarour; João Luiz Dihl Comba; Sihem Amer-Yahia (Proc. VLDB Endow., 2023)

Diversifying recommendations on sequences of sets. - Sepideh Nikookar; Mohammadreza Esfandiari; Ria Mae Borromeo; Paras Sakharkar; Sihem Amer-Yahia; Senjuti Basu Roy (VLDB J., 2023)

A Framework to Maximize Group Fairness for Workers on Online Labor Platforms. - Anis El Rabaa; Shady Elbassuoni; Jihad Hanna; Amer E. Mouawad; Ayham Olleik; Sihem Amer-Yahia (Data Sci. Eng., 2023)

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. - 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; et al. (SIGMOD Rec., 2023)

A generic framework for efficient computation of top-k diverse results. - Md Mouinul Islam; Mahsa Asadi; Sihem Amer-Yahia; Senjuti Basu Roy (VLDB J., 2023)

From Large Language Models to Databases and Back: A Discussion on Research and Education. - Sihem Amer-Yahia; Angela Bonifati; Lei Chen 002; Guoliang Li 001; Kyuseok Shim; Jianliang Xu; Xiaochun Yang 001 (SIGMOD Rec., 2023)

Loss Compensation in Multi-Session Recommendation Under Limited Availability. - Davide Azzalini; Fabio Azzalini; Chiara Criscuolo; Tommaso Dolci; Davide Martinenghi; Sihem Amer-Yahia (EDBT, 2024)

Guided SQL-Based Data Exploration with User Feedback. - Antonis Mandamadiotis; Georgia Koutrika; Sihem Amer-Yahia (ICDE, 2024)

Optimizing Neighborhoods for Fair Top-N Recommendation. - Stavroula Eleftherakis; Georgia Koutrika; Sihem Amer-Yahia (UMAP, 2024)

Multi-objective Test Recommendation for Adaptive Learning. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (Trans. Large Scale Data Knowl. Centered Syst., 2024)

Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report. - 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; et al. (SIGMOD Rec., 2024)

A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs. - Yun Wang; Chrysanthi Kosyfaki; Sihem Amer-Yahia; Reynold Cheng (Proc. VLDB Endow., 2024)

Intelligent Agents for Data Exploration. - Sihem Amer-Yahia (Proc. VLDB Endow., 2024)

Front Matter. - Meihui Zhang 001; Cyrus Shahabi; Ju Fan; Yang Cao 011; Xiaoou Ding; Divesh Srivastava; Nesime Tatbul; Sihem Amer-Yahia; Yongxin Tong; Yuncheng Wu; Li Xiong 001; Torsten Grust; et al. (Proc. VLDB Endow., 2024)

Report on the Second International Workshop on DataSystems Education (DataEd '23). - Daphne Miedema; Efthimia Aivaloglou; Sihem Amer-Yahia; George Fletcher 001; Michael Mior; Toni Taipalus (SIGMOD Rec., 2024)

R-Fairness: Assessing Fairness of Ranking in Subjective Data. - Lorenzo Balzotti; Donatella Firmani; Jerin George Mathew; Riccardo Torlone; Sihem Amer-Yahia (ACL (1), 2025)

Classifying Students' Meta-cognitive Comments. - Christian Hoffmann; Madou Koné; Nassim Bouarour; Sihem Amer-Yahia (EC-TEL (2), 2025)

Towards Reliable Conversational Data Analytics. - Sihem Amer-Yahia; Jasmina Bogojeska; Roberta Facchinetti; Valeria Franceschi; Aristides Gionis; Katja Hose; Georgia Koutrika; Roger Kouyos; Matteo Lissandrini; Silviu Maniu; Katsiaryna Mirylenka; Davide Mottin; et al. (EDBT, 2025)

Personalized Top-k Set Queries Over Predicted Scores. - Sohrab Namazi Nia; Subhodeep Ghosh; Senjuti Basu Roy; Sihem Amer-Yahia (CoRR, 2025)

On Aggregation Queries over Predicted Nearest Neighbors. - Carrie Wang; Sihem Amer-Yahia; Laks V. S. Lakshmanan; Reynold Cheng (CoRR, 2025)

The Cambridge Report on Database Research. - Anastasia Ailamaki; Samuel Madden 001; Daniel Abadi; Gustavo Alonso; Sihem Amer-Yahia; Magdalena Balazinska; Philip A. Bernstein; Peter A. Boncz; Michael J. Cafarella; Surajit Chaudhuri; Susan B. Davidson; David J. DeWitt; et al. (CoRR, 2025)

Producer-Fairness in Sequential Bundle Recommendation. - Alexandre Rio; Marta Soare; Sihem Amer-Yahia (CoRR, 2025)

On Nurturing Doubt and Intuition. - Sihem Amer-Yahia (SIGMOD Rec., 2025)

Model reusability in Reinforcement Learning. - Sepideh Nikookar; Sohrab Namazi Nia; Senjuti Basu Roy; Sihem Amer-Yahia; Behrooz Omidvar-Tehrani (VLDB J., 2025)