Jarek Szlichta

According to our database, Jarek Szlichta authored at least 75 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Discovering approximate implicit domain orders through order dependencies.

Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

VLDB J., September, 2024

Db2une: Tuning Under Pressure via Deep Learning.

Alexander Bianchi, Andrew Chai, Vincent Corvinelli, Parke Godfrey, Jarek Szlichta, Calisto Zuzarte

Proc. VLDB Endow., August, 2024

A Variational Neural Architecture for Skill-based Team Formation.

Radin Hamidi Rad, Hossein Fani, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

ACM Trans. Inf. Syst., January, 2024

Explaining Expert Search and Team Formation Systems with ExES.

Kiarash Golzadeh, Lukasz Golab, Jaroslaw Szlichta

CoRR, 2024

Exploring the Space of Model Comparisons.

Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

CAMO: Explaining Consensus Across MOdels.

Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Towards Explainability in Retrieval-Augmented LLMs.

Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

RAGE Against the Machine: Retrieval-Augmented LLM Explanations.

Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Explaining Expert Search Systems with ExES.

Kiarash Golzadeh, Lukasz Golab, Jaroslaw Szlichta

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

On Integrating the Data-Science and Machine-Learning Pipelines for Responsible AI.

Armin Esmaeilzadeh, Joel Rorseth, Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Kazem Taghva

Proceedings of the Conference on Governance, 2024

2023

Learning heterogeneous subgraph representations for team discovery.

Radin Hamidi Rad, Hoang Nguyen, Feras N. Al-Obeidat, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Fattane Zarrinkalam

Inf. Retr. J., June, 2023

CREDENCE: Counterfactual Explanations for Document Ranking.

Joel Rorseth, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

BLUTune: Tuning Up IBM Db2 with ML.

Connor Henderson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

iORDER: Mining Implicit Domain Orders.

Alexander Bianchi, Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

EAGER: Explainable Question Answering Using Knowledge Graphs.

Andrew Chai, Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat

Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2023

ML4DM '23: The Third Workshop on the Emerging Applications of Machine Learning in Modern Data Management.

Amin Kamali, Calisto Zuzarte, Verena Kantere, Jaroslaw Szlichta, Yueting Chen, Xiaohui Yu, Ning Wang

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

2022

ABC of order dependencies.

Pei Li, Jaroslaw Szlichta, Michael H. Böhlen, Divesh Srivastava

VLDB J., 2022

Effective Keyword Search Over Weighted Graphs.

Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat

IEEE Trans. Knowl. Data Eng., 2022

Contextual Data Cleaning with Ontology Functional Dependencies.

Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta, Sridevi Baskaran

ACM J. Data Inf. Qual., 2022

Subgraph Representation Learning for Team Mining.

Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

abcOD: Mining Band Order Dependencies.

Pei Li, Jessica Jessica, Naida Tania, Michael H. Böhlen, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Discovering Domain Orders via Order Dependencies.

Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Fine-Tuning Dependencies with Parameters.

Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat

Proceedings of the 25th International Conference on Extending Database Technology, 2022

BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML.

Connor Henderson, Spencer Bryson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ML4DM: The second workshop on the emerging applications of machine learning in modern data management.

Amin Kamali, Jarek Szlichta, Calisto Zuzarte, Yueting Chen, Verena Kantere, Shaikh Quader

Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

2021

Discovery and Contextual Data Cleaning with Ontology Functional Dependencies.

Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta

CoRR, 2021

Retrieving Skill-Based Teams from Collaboration Networks.

Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Variational Autoencoders for Top-K Recommendation with Implicit Feedback.

Bahare Askari, Jaroslaw Szlichta, Amirali Salehi-Abari

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Effective Keyword Search in Weighted Graphs (Extended Abstract).

Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Efficient Discovery of Approximate Order Dependencies.

Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 24th International Conference on Extending Database Technology, 2021

PyTFL: A Python-based Neural Team Formation Toolkit.

Radin Hamidi Rad, Aabid Mitha, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, Ebrahim Bagheri

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

RW-Team: Robust Team Formation using Random Walk.

John Nemec, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Scalable Learning to Troubleshoot Query Performance Problems.

Alexandar Mihaylov, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Robust keyword search in large attributed graphs.

Spencer Bryson, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat

Inf. Retr. J., 2020

Compact group discovery in attributed graphs and social networks.

Abeer Khan, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta, Morteza Zihayat

Inf. Process. Manag., 2020

Joint Variational Autoencoders for Recommendation with Implicit Feedback.

Bahare Askari, Jaroslaw Szlichta, Amirali Salehi-Abari

CoRR, 2020

Discovering Domain Orders through Order Dependencies.

Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

CoRR, 2020

Discovering Band Order Dependencies.

Pei Li, Jaroslaw Szlichta, Michael H. Böhlen, Divesh Srivastava

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Erratum for Discovering Order Dependencies through Order Compatibility (EDBT 2019).

Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Learning to Form Skill-based Teams of Experts.

Radin Hamidi Rad, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, Ebrahim Bagheri

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Guided automated learning for query workload re-optimization.

Guilherme Damasio, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Alexandar Mihaylov, Jaroslaw Szlichta, Calisto Zuzarte

Proc. VLDB Endow., 2019

GALO: Guided Automated Learning for re-Optimization.

Guilherme Damasio, Spencer Bryson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

Proc. VLDB Endow., 2019

Discovery of Band Order Dependencies.

Pei Li, Michael H. Böhlen, Jaroslaw Szlichta, Divesh Srivastava

CoRR, 2019

Errata Note: Discovering Order Dependencies through Order Compatibility.

Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

CoRR, 2019

Mining and exploration of attributed graphs: theory and applications.

Mehdi Kargar, Morteza Zihayat, Jaroslaw Szlichta

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

Bring Order to Data.

Heidar Davoudi, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 13th Alberto Mendelzon International Workshop on Foundations of Data Management, 2019

2018

Order Dependency.

Jaroslaw Szlichta

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Effective and complete discovery of bidirectional order dependencies via set-based axioms.

Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava

VLDB J., 2018

FASTOD: Bringing Order to Data.

Alexandar Mihaylov, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Contextual Data Cleaning.

Morteza Alipour Langouri, Zheng Zheng, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta

Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

FastOFD: Contextual Data Cleaning with Ontology Functional Dependencies.

Zheng Zheng, Morteza Alipour, Zhi Qu, Ian Currie, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta

Proceedings of the 21st International Conference on Extending Database Technology, 2018

Effective Team Formation in Expert Networks.

Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta

Proceedings of the 12th Alberto Mendelzon International Workshop on Foundations of Data Management, 2018

2017

Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization.

Jaroslaw Szlichta, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava

Proc. VLDB Endow., 2017

Authority-based Team Discovery in Social Networks.

Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta

Proceedings of the 20th International Conference on Extending Database Technology, 2017

Efficient Discovery of Ontology Functional Dependencies.

Sridevi Baskaran, Alexander Keller, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Meaningful Keyword Search over Databases with Complex Schema.

Mehdi Kargar, Aijun An, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu

Proceedings of the 11th Alberto Mendelzon International Workshop on Foundations of Data Management and the Web, 2017

2016

Efficient Discovery of Ontology Functional Dependencies.

Sridevi Baskaran, Alexander Keller, Fei Chiang, Jaroslaw Szlichta

CoRR, 2016

OptImatch: Semantic web system for query problem determination.

Guilherme Damasio, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Query Performance Problem Determination with Knowledge Base in Semantic Web System OptImatch.

Guilherme Damasio, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

Proceedings of the 19th International Conference on Extending Database Technology, 2016

eGraphSearch: Effective Keyword Search in Graphs.

Mehdi Kargar, Lukasz Golab, Jaroslaw Szlichta

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

ARC: A pipeline approach enabling large-scale graph visualization.

Michael Ferron, Ken Q. Pu, Jaroslaw Szlichta

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Ontology Functional Dependencies.

Alexander Keller, Jaroslaw Szlichta

Proceedings of the 10th Alberto Mendelzon International Workshop on Foundations of Data Management, 2016

2015

Combining Quantitative and Logical Data Cleaning.

Nataliya Prokoshyna, Jaroslaw Szlichta, Fei Chiang, Renée J. Miller, Divesh Srivastava

Proc. VLDB Endow., 2015

Effective Keyword Search in Graphs.

Mehdi Kargar, Lukasz Golab, Jaroslaw Szlichta

CoRR, 2015

OptImatch: Semantic Web System with Knowledge Base for Query Performance Problem Determination.

Guilherme Damasio, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

CoRR, 2015

Meaningful keyword search in relational databases with large and complex schema.

Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

On Axiomatization and Inference Complexity over a Hierarchy of Functional Dependencies.

Jaroslaw Szlichta, Lukasz Golab, Divesh Srivastava

Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru, May 6, 2015

2014

MeanKS: meaningful keyword search in relational databases with complex schema.

Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu

Proceedings of the International Conference on Management of Data, 2014

Continuous data cleaning.

Maksims Volkovs, Fei Chiang, Jaroslaw Szlichta, Renée J. Miller

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Business-Intelligence Queries with Order Dependencies in DB2.

Jaroslaw Szlichta, Parke Godfrey, Jarek Gryz, Wenbin Ma, Weinan Qiu, Calisto Zuzarte

Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013

Expressiveness and Complexity of Order Dependencies.

Jaroslaw Szlichta, Parke Godfrey, Jarek Gryz, Calisto Zuzarte

Proc. VLDB Endow., 2013

Axiomatic System for Order Dependencies.

Jaroslaw Szlichta, Parke Godfrey, Jarek Gryz, Calisto Zuzarte

Proceedings of the 7th Alberto Mendelzon International Workshop on Foundations of Data Management, 2013

2012

Fundamentals of Order Dependencies.

Jaroslaw Szlichta, Parke Godfrey, Jarek Gryz

Proc. VLDB Endow., 2012

Chasing Polarized Order Dependencies.

Jaroslaw Szlichta, Parke Godfrey, Jarek Gryz

Proceedings of the 6th Alberto Mendelzon International Workshop on Foundations of Data Management, 2012

2011

Queries on dates: fast yet not blind.

Jaroslaw Szlichta, Parke Godfrey, Jarek Gryz, Wenbin Ma, Przemyslaw Pawluk, Calisto Zuzarte

Proceedings of the EDBT 2011, 2011