Çagatay Demiralp

93 papers A* 7A 11Misc 1Journal 60Unranked 13
YearRankTypeTitle / Venue / Authors
2026 A conf
BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation.
CIDR
Fabian Wenz, Omar Bouattour, Devin Yang, Justin Choi, Cecil Gregg, Nesime Tatbul, Çagatay Demiralp
2025 J jnl
BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation.
CoRR
Fabian Wenz, Omar Bouattour, Devin Yang, Justin Choi, Cecil Gregg, Nesime Tatbul, Çagatay Demiralp
2025 A conf
Mind the Data Gap: Bridging Large Language Models (LLMs) to Enterprise Data Integration.
CIDR
Moe Kayali, Fabian Wenz, Nesime Tatbul, Çagatay Demiralp
2025 J jnl
PRAXA: A Framework for What-If Analysis.
CoRR
Sneha Gathani, Kevin Li, Raghav Thind, Sirui Zeng, Matthew Xu, Peter J. Haas, Çagatay Demiralp, Zhicheng Liu
2025 A* conf
What-if Analysis for Business Professionals: Current Practices and Future Opportunities.
CHI
Sneha Gathani, Zhicheng Liu, Peter J. Haas, Çagatay Demiralp
2024 J jnl
BEAVER: An Enterprise Benchmark for Text-to-SQL.
CoRR
Peter Baile Chen, Fabian Wenz, Yi Zhang, Moe Kayali, Nesime Tatbul, Michael J. Cafarella, Çagatay Demiralp, Michael Stonebraker
2024 — conf
Humboldt: Metadata-Driven Extensible Data Discovery.
VLDB Workshops
Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker
2024 J jnl
Humboldt: Metadata-Driven Extensible Data Discovery.
CoRR
Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker
2024 J jnl
Making LLMs Work for Enterprise Data Tasks.
CoRR
Çagatay Demiralp, Fabian Wenz, Peter Baile Chen, Moe Kayali, Nesime Tatbul, Michael Stonebraker
2024 J jnl
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration.
CoRR
Moe Kayali, Fabian Wenz, Nesime Tatbul, Çagatay Demiralp
2023 J jnl
AdaTyper: Adaptive Semantic Column Type Detection.
CoRR
Madelon Hulsebos, Paul Groth, Çagatay Demiralp
2023 J jnl
Data Extraction via Semantic Regular Expression Synthesis.
CoRR
Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig
2023 J jnl
Data Extraction via Semantic Regular Expression Synthesis.
Proc. ACM Program. Lang.
Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig
2023 J jnl
GitTables: A Large-Scale Corpus of Relational Tables.
Proc. ACM Manag. Data
Madelon Hulsebos, Çagatay Demiralp, Paul Groth
2023 J jnl
R
Proc. VLDB Endow.
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia
2023 A conf
Transactions Make Debugging Easy.
CIDR
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia
2023 A* conf
VegaProf: Profiling Vega Visualizations.
UIST
Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp
2023 A conf
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses.
CIDR
Tianji Cong, James Gale, Jason Frantz, H. V. Jagadish, Çagatay Demiralp
2022 — conf
Annotating Columns with Pre-trained Language Models.
SIGMOD Conference
Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çagatay Demiralp, Chen Chen, Wang-Chiew Tan
2022 A conf
Augmenting Decision Making via Interactive What-If Analysis.
CIDR
Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp
2022 A* conf
Investigating Perceptual Biases in Icon Arrays.
CHI
Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake M. Hofman, Çagatay Demiralp
2022 J jnl
Machine Learning with DBOS.
CoRR
Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Qian Li, Peter Kraft, Deeptaanshu Kumar, Çagatay Demiralp, Michael Stonebraker
2022 A conf
Making Table Understanding Work in Practice.
CIDR
Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp
2022 J jnl
Predictive and Prescriptive Analytics in Business Decision Making: Needs and Concerns.
CoRR
Sneha Gathani, Zhicheng Liu, Peter J. Haas, Çagatay Demiralp
2022 J jnl
Sigma Workbook: A Spreadsheet for Cloud Data Warehouses.
CoRR
James Gale, Max Seiden, Deepanshu Utkarsh, Jason Frantz, Rob Woollen, Çagatay Demiralp
2022 J jnl
Sigma Workbook: A Spreadsheet for Cloud Data Warehouses.
Proc. VLDB Endow.
James Gale, Max Seiden, Deepanshu Utkarsh, Jason Frantz, Rob Woollen, Çagatay Demiralp
2022 J jnl
Transactions Make Debugging Easy.
CoRR
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia
2022 J jnl
VegaProf: Profiling Vega Visualizations.
CoRR
Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp
2022 J jnl
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses.
CoRR
Tianji Cong, James Gale, Jason Frantz, H. V. Jagadish, Çagatay Demiralp
2021 J jnl
Annotating Columns with Pre-trained Language Models.
CoRR
Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çagatay Demiralp, Chen Chen, Wang-Chiew Tan
2021 J jnl
Augmenting Decision Making via Interactive What-If Analysis.
CoRR
Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp
2021 J jnl
GitTables: A Large-Scale Corpus of Relational Tables.
CoRR
Madelon Hulsebos, Çagatay Demiralp, Paul Groth
2021 A conf
Leam: An Interactive System for In-situ Visual Text Analysis.
CIDR
Sajjadur Rahman, Peter Griggs, Çagatay Demiralp
2021 J jnl
Making Table Understanding Work in Practice.
CoRR
Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp
2021 — conf
TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration.
WWW (Companion Volume)
Dongjin Choi, Sara Evensen, Çagatay Demiralp, Estevam Hruschka
2021 J jnl
TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration.
CoRR
Dongjin Choi, Sara Evensen, Çagatay Demiralp, Estevam Hruschka
2020 J jnl
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions.
CoRR
Sara Evensen, Chang Ge, Dongjin Choi, Çagatay Demiralp
2020 J jnl
Enhancing Review Comprehension with Domain-Specific Commonsense.
CoRR
Aaron Traylor, Chen Chen, Behzad Golshan, Xiaolan Wang, Yuliang Li, Yoshihiko Suhara, Jinfeng Li, Çagatay Demiralp, Wang-Chiew Tan
2020 J jnl
Leam: An Interactive System for In-situ Visual Text Analysis.
CoRR
Sajjadur Rahman, Peter Griggs, Çagatay Demiralp
2020 — conf
Ruler: Data Programming by Demonstration for Document Labeling.
EMNLP (Findings)
Sara Evensen, Chang Ge, Çagatay Demiralp
2020 J jnl
Sato: Contextual Semantic Type Detection in Tables.
Proc. VLDB Endow.
Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan
2020 J jnl
Sigma Worksheet: Interactive Construction of OLAP Queries.
CoRR
James Gale, Max Seiden, Çagatay Demiralp
2020 A* conf
Teddy: A System for Interactive Review Analysis.
CHI
Xiong Zhang, Jonathan Engel, Sara Evensen, Yuliang Li, Çagatay Demiralp, Wang-Chiew Tan
2020 J jnl
Teddy: A System for Interactive Review Analysis.
CoRR
Xiong Zhang, Jonathan Engel, Sara Evensen, Yuliang Li, Çagatay Demiralp, Wang-Chiew Tan
2019 J jnl
Clustrophile 2: Guided Visual Clustering Analysis.
IEEE Trans. Vis. Comput. Graph.
Marco Cavallo, Çagatay Demiralp
2019 J jnl
Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks.
IEEE Computer Graphics and Applications
Victor Dibia, Çagatay Demiralp
2019 J jnl
Kyrix: Interactive Pan/Zoom Visualizations at Scale.
Comput. Graph. Forum
Wenbo Tao, Xiaoyu Liu, Yedi Wang, Leilani Battle, Çagatay Demiralp, Remco Chang, Michael Stonebraker
2019 A conf
Kyrix: Interactive Visual Data Exploration at Scale.
CIDR
Wenbo Tao, Xiaoyu Liu, Çagatay Demiralp, Remco Chang, Michael Stonebraker
2019 J jnl
Kyrix: Interactive Visual Data Exploration at Scale.
CoRR
Wenbo Tao, Xiaoyu Liu, Çagatay Demiralp, Remco Chang, Michael Stonebraker
2019 J jnl
Sato: Contextual Semantic Type Detection in Tables.
CoRR
Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan
2019 A* conf
Sherlock: A Deep Learning Approach to Semantic Data Type Detection.
KDD
Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo
2019 J jnl
Sherlock: A Deep Learning Approach to Semantic Data Type Detection.
CoRR
Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo
2019 J jnl
Task-Based Effectiveness of Basic Visualizations.
IEEE Trans. Vis. Comput. Graph.
Bahador Saket, Alex Endert, Çagatay Demiralp
2019 A* conf
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.
CHI
Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp
2019 J jnl
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.
CoRR
Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Michiel A. Bakker, Madelon Hulsebos, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp
2018 A* conf
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration.
CHI
Marco Cavallo, Çagatay Demiralp
2018 — conf
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration.
CHI Extended Abstracts
Marco Cavallo, Çagatay Demiralp
2018 J jnl
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration.
CoRR
Marco Cavallo, Çagatay Demiralp
2018 J jnl
Beyond Heuristics: Learning Visualization Design.
CoRR
Bahador Saket, Dominik Moritz, Halden Lin, Victor Dibia, Çagatay Demiralp, Jeffrey Heer
2018 J jnl
Clustrophile 2: Guided Visual Clustering Analysis.
CoRR
Marco Cavallo, Çagatay Demiralp
2018 J jnl
Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks.
CoRR
Victor Dibia, Çagatay Demiralp
2018 J jnl
Developing Design Guidelines for Precision Oncology Reports.
CoRR
Selim Kalayci, Çagatay Demiralp, Zeynep H. Gümüs
2018 J jnl
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions.
Comput. Graph. Forum
Marco Cavallo, Çagatay Demiralp
2018 J jnl
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions.
CoRR
Marco Cavallo, Çagatay Demiralp
2017 J jnl
Clustrophile: A Tool for Visual Clustering Analysis.
CoRR
Çagatay Demiralp
2017 J jnl
Data and Task Based Effectiveness of Basic Visualizations.
CoRR
Bahador Saket, Alex Endert, Çagatay Demiralp
2017 J jnl
Exploring Dimensionality Reductions with Forward and Backward Projections.
CoRR
Marco Cavallo, Çagatay Demiralp
2017 J jnl
Foresight: Rapid Data Exploration Through Guideposts.
CoRR
Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati
2017 J jnl
Foresight: Recommending Visual Insights.
CoRR
Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati
2017 J jnl
Foresight: Recommending Visual Insights.
Proc. VLDB Endow.
Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati
2017 J jnl
Sampling for Scalable Visual Analytics.
IEEE Computer Graphics and Applications
Bum Chul Kwon, Janu Verma, Peter J. Haas, Çagatay Demiralp
2017 — conf
Xplorer: A system for visual analysis of sensor-based motor activity predictions.
DSIA
Marco Cavallo, Çagatay Demiralp
2016 Misc conf
Transforming Patient-generated Data for Wellness and Biomedical Research: From Behavioral Sensing to Decision Support.
AMIA
Pei-Yun Sabrina Hsueh, Susan Peterson, Fernando José Martín-Sánchez, Katherine K. Kim, Çagatay Demiralp
2015 J jnl
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging
Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput
2015 — conf
The VERP Explorer: A Tool for Exploring Eye Movements of Visual-Cognitive Tasks Using Recurrence Plots.
ETVIS
Çagatay Demiralp, Jesse Cirimele, Jeffrey Heer, Stuart K. Card
2014 J jnl
Learning Perceptual Kernels for Visualization Design.
IEEE Trans. Vis. Comput. Graph.
Çagatay Demiralp, Michael S. Bernstein, Jeffrey Heer
2014 J jnl
Visual Embedding: A Model for Visualization.
IEEE Computer Graphics and Applications
Çagatay Demiralp, Carlos Eduardo Scheidegger, Gordon L. Kindlmann, David H. Laidlaw, Jeffrey Heer
2013 — —
Computational Brain Connectivity Using Diffusion MRI.
Çagatay Demiralp
2013 — conf
invis: Exploring high-dimensional RNA sequences from in vitro selection.
BioVis
Çagatay Demiralp, Eric Hayden, Jeff Hammerbacher, Jeffrey Heer
2012 — conf
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR.
MICCAI (3)
Darko Zikic, Ben Glocker, Ender Konukoglu, Antonio Criminisi, Çagatay Demiralp, Jamie Shotton, Owen M. Thomas, Tilak Das, Raj Jena, Stephen J. Price
2012 J jnl
Exploring Brain Connectivity with Two-Dimensional Neural Maps.
IEEE Trans. Vis. Comput. Graph.
Radu Jianu, Çagatay Demiralp, David H. Laidlaw
2010 — conf
Surface Deformations Driven by Vector-Valued 1-Forms.
Shape Modeling International
Gabriel Taubin, Çagatay Demiralp
2010 — conf
Tract-Based Probability Densities of Diffusivity Measures in DT-MRI.
MICCAI (1)
Çagatay Demiralp, David H. Laidlaw
2009 J jnl
Coloring 3D Line Fields Using Boy's Real Projective Plane Immersion.
IEEE Trans. Vis. Comput. Graph.
Çagatay Demiralp, John F. Hughes, David H. Laidlaw
2009 J jnl
Exploring 3D DTI Fiber Tracts with Linked 2D Representations.
IEEE Trans. Vis. Comput. Graph.
Radu Jianu, Çagatay Demiralp, David H. Laidlaw
2008 — conf
A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves.
MICCAI (1)
Çagatay Demiralp, Gregory Shakhnarovich, Song Zhang, David H. Laidlaw
2006 J jnl
CAVE and Fishtank Virtual-Reality Displays: A Qualitative and Quantitative Comparison.
IEEE Trans. Vis. Comput. Graph.
Çagatay Demiralp, Cullen D. Jackson, David B. Karelitz, Song Zhang, David H. Laidlaw
2006 — conf
Connectivity-Aware Sectional Visualization of 3D DTI Volumes using Perceptual Flat-Torus Coloring and Edge Rendering.
Eurographics (Short Presentations)
Çagatay Demiralp, Song Zhang, David F. Tate, Stephen Correia, David H. Laidlaw
2004 J jnl
Estimating joint contact areas and ligament lengths from bone kinematics and surfaces.
IEEE Trans. Biomed. Eng.
G. Elisabeta Marai, David H. Laidlaw, Çagatay Demiralp, Stuart Andrews, Cindy M. Grimm, Joseph J. Crisco
2004 A conf
JointViewer - An Interactive System for Exploring Orthopedic Data.
IEEE Visualization
G. Elisabeta Marai, Çagatay Demiralp, Stuart Andrews, David H. Laidlaw
2003 J jnl
Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces.
IEEE Trans. Vis. Comput. Graph.
Song Zhang, Çagatay Demiralp, David H. Laidlaw
2001 A conf
An Immersive Virtual Environment for DT-MRI Volume Visualization Applications: A Case Study.
IEEE Visualization
Song Zhang, Çagatay Demiralp, Daniel F. Keefe, M. DaSilva, David H. Laidlaw, Benjamin D. Greenberg, Peter J. Basser, Carlo Pierpaoli, E. A. Chiocca, Thomas S. Deisboeck
2001 A conf
Toward Application of Virtual Reality to Visualization of DT-MRI Volumes.
MICCAI
Song Zhang, Çagatay Demiralp, M. DaSilva, Daniel F. Keefe, David H. Laidlaw, Benjamin D. Greenberg, Peter J. Basser, Carlo Pierpaoli, E. A. Chiocca, Thomas S. Deisboeck