Çagatay Demiralp

According to our database, Çagatay Demiralp authored at least 64 papers between 2001 and 2024.

Collaborative distances:

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

2024

BEAVER: An Enterprise Benchmark for Text-to-SQL.

Peter Baile Chen, Fabian Wenz, Yi Zhang, Moe Kayali, Nesime Tatbul, Michael J. Cafarella, Çagatay Demiralp, Michael Stonebraker

CoRR, 2024

Making LLMs Work for Enterprise Data Tasks.

Çagatay Demiralp, Fabian Wenz, Peter Baile Chen, Moe Kayali, Nesime Tatbul, Michael Stonebraker

CoRR, 2024

Humboldt: Metadata-Driven Extensible Data Discovery.

Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

2023

Data Extraction via Semantic Regular Expression Synthesis.

Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig

Proc. ACM Program. Lang., October, 2023

R³: Record-Replay-Retroaction for Database-Backed Applications.

Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia

Proc. VLDB Endow., 2023

GitTables: A Large-Scale Corpus of Relational Tables.

Madelon Hulsebos, Çagatay Demiralp, Paul Groth

Proc. ACM Manag. Data, 2023

AdaTyper: Adaptive Semantic Column Type Detection.

Madelon Hulsebos, Paul Groth, Çagatay Demiralp

CoRR, 2023

VegaProf: Profiling Vega Visualizations.

Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses.

Tianji Cong, James Gale, Jason Frantz, H. V. Jagadish, Çagatay Demiralp

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

Transactions Make Debugging Easy.

Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022

Sigma Workbook: A Spreadsheet for Cloud Data Warehouses.

James Gale, Max Seiden, Deepanshu Utkarsh, Jason Frantz, Rob Woollen, Çagatay Demiralp

Proc. VLDB Endow., 2022

Predictive and Prescriptive Analytics in Business Decision Making: Needs and Concerns.

Sneha Gathani, Zhicheng Liu, Peter J. Haas, Çagatay Demiralp

CoRR, 2022

Machine Learning with DBOS.

Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Qian Li, Peter Kraft, Deeptaanshu Kumar, Çagatay Demiralp, Michael Stonebraker

CoRR, 2022

Annotating Columns with Pre-trained Language Models.

Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çagatay Demiralp, Chen Chen, Wang-Chiew Tan

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Making Table Understanding Work in Practice.

Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Augmenting Decision Making via Interactive What-If Analysis.

Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Investigating Perceptual Biases in Icon Arrays.

Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake M. Hofman, Çagatay Demiralp

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration.

Dongjin Choi, Sara Evensen, Çagatay Demiralp, Estevam Hruschka

Proceedings of the Companion of The Web Conference 2021, 2021

Leam: An Interactive System for In-situ Visual Text Analysis.

Sajjadur Rahman, Peter Griggs, Çagatay Demiralp

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Sato: Contextual Semantic Type Detection in Tables.

Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan

Proc. VLDB Endow., 2020

Sigma Worksheet: Interactive Construction of OLAP Queries.

James Gale, Max Seiden, Çagatay Demiralp

CoRR, 2020

Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions.

Sara Evensen, Chang Ge, Dongjin Choi, Çagatay Demiralp

CoRR, 2020

Enhancing Review Comprehension with Domain-Specific Commonsense.

Aaron Traylor, Chen Chen, Behzad Golshan, Xiaolan Wang, Yuliang Li, Yoshihiko Suhara, Jinfeng Li, Çagatay Demiralp, Wang-Chiew Tan

CoRR, 2020

Ruler: Data Programming by Demonstration for Document Labeling.

Sara Evensen, Chang Ge, Çagatay Demiralp

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Teddy: A System for Interactive Review Analysis.

Xiong Zhang, Jonathan Engel, Sara Evensen, Yuliang Li, Çagatay Demiralp, Wang-Chiew Tan

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Task-Based Effectiveness of Basic Visualizations.

Bahador Saket, Alex Endert, Çagatay Demiralp

IEEE Trans. Vis. Comput. Graph., 2019

Clustrophile 2: Guided Visual Clustering Analysis.

Marco Cavallo, Çagatay Demiralp

IEEE Trans. Vis. Comput. Graph., 2019

Kyrix: Interactive Pan/Zoom Visualizations at Scale.

Wenbo Tao, Xiaoyu Liu, Yedi Wang, Leilani Battle, Çagatay Demiralp, Remco Chang, Michael Stonebraker

Comput. Graph. Forum, 2019

Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks.

Victor Dibia, Çagatay Demiralp

IEEE Computer Graphics and Applications, 2019

Sherlock: A Deep Learning Approach to Semantic Data Type Detection.

Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Kyrix: Interactive Visual Data Exploration at Scale.

Wenbo Tao, Xiaoyu Liu, Çagatay Demiralp, Remco Chang, Michael Stonebraker

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.

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

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Developing Design Guidelines for Precision Oncology Reports.

Selim Kalayci, Çagatay Demiralp, Zeynep H. Gümüs

CoRR, 2018

Beyond Heuristics: Learning Visualization Design.

Bahador Saket, Dominik Moritz, Halden Lin, Victor Dibia, Çagatay Demiralp, Jeffrey Heer

CoRR, 2018

Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions.

Marco Cavallo, Çagatay Demiralp

Comput. Graph. Forum, 2018

A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration.

Marco Cavallo, Çagatay Demiralp

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Foresight: Recommending Visual Insights.

Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati

Proc. VLDB Endow., 2017

Clustrophile: A Tool for Visual Clustering Analysis.

Çagatay Demiralp

CoRR, 2017

Foresight: Rapid Data Exploration Through Guideposts.

Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati

CoRR, 2017

Data and Task Based Effectiveness of Basic Visualizations.

Bahador Saket, Alex Endert, Çagatay Demiralp

CoRR, 2017

Exploring Dimensionality Reductions with Forward and Backward Projections.

Marco Cavallo, Çagatay Demiralp

CoRR, 2017

Sampling for Scalable Visual Analytics.

Bum Chul Kwon, Janu Verma, Peter J. Haas, Çagatay Demiralp

IEEE Computer Graphics and Applications, 2017

Xplorer: A system for visual analysis of sensor-based motor activity predictions.

Marco Cavallo, Çagatay Demiralp

Proceedings of the IEEE Workshop on Data Systems for Interactive Analysis, 2017

2016

Transforming Patient-generated Data for Wellness and Biomedical Research: From Behavioral Sensing to Decision Support.

Pei-Yun Sabrina Hsueh, Susan Peterson, Fernando José Martín-Sánchez, Katherine K. Kim, Çagatay Demiralp

Proceedings of the AMIA 2016, 2016

2015

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

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

IEEE Trans. Medical Imaging, 2015

The VERP Explorer: A Tool for Exploring Eye Movements of Visual-Cognitive Tasks Using Recurrence Plots.

Çagatay Demiralp, Jesse Cirimele, Jeffrey Heer, Stuart K. Card

Proceedings of the Eye Tracking and Visualization, 2015

2014

Learning Perceptual Kernels for Visualization Design.

Çagatay Demiralp, Michael S. Bernstein, Jeffrey Heer

IEEE Trans. Vis. Comput. Graph., 2014

Visual Embedding: A Model for Visualization.

Çagatay Demiralp, Carlos Eduardo Scheidegger, Gordon L. Kindlmann, David H. Laidlaw, Jeffrey Heer

IEEE Computer Graphics and Applications, 2014

2013

Computational Brain Connectivity Using Diffusion MRI.

Çagatay Demiralp

PhD thesis, 2013

invis: Exploring high-dimensional RNA sequences from in vitro selection.

Çagatay Demiralp, Eric Hayden, Jeff Hammerbacher, Jeffrey Heer

Proceedings of the IEEE Symposium on Biological Data Visualization, 2013

2012

Exploring Brain Connectivity with Two-Dimensional Neural Maps.

Radu Jianu, Çagatay Demiralp, David H. Laidlaw

IEEE Trans. Vis. Comput. Graph., 2012

Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR.

Darko Zikic, Ben Glocker, Ender Konukoglu, Antonio Criminisi, Çagatay Demiralp, Jamie Shotton, Owen M. Thomas, Tilak Das, Raj Jena, Stephen J. Price

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2010

Surface Deformations Driven by Vector-Valued 1-Forms.

Gabriel Taubin, Çagatay Demiralp

Proceedings of the SMI 2010, 2010

Tract-Based Probability Densities of Diffusivity Measures in DT-MRI.

Çagatay Demiralp, David H. Laidlaw

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009

Exploring 3D DTI Fiber Tracts with Linked 2D Representations.

Radu Jianu, Çagatay Demiralp, David H. Laidlaw

IEEE Trans. Vis. Comput. Graph., 2009

Coloring 3D Line Fields Using Boy's Real Projective Plane Immersion.

Çagatay Demiralp, John F. Hughes, David H. Laidlaw

IEEE Trans. Vis. Comput. Graph., 2009

2008

A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves.

Çagatay Demiralp, Gregory Shakhnarovich, Song Zhang, David H. Laidlaw

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2006

CAVE and Fishtank Virtual-Reality Displays: A Qualitative and Quantitative Comparison.

Çagatay Demiralp, Cullen D. Jackson, David B. Karelitz, Song Zhang, David H. Laidlaw

IEEE Trans. Vis. Comput. Graph., 2006

Connectivity-Aware Sectional Visualization of 3D DTI Volumes using Perceptual Flat-Torus Coloring and Edge Rendering.

Çagatay Demiralp, Song Zhang, David F. Tate, Stephen Correia, David H. Laidlaw

Proceedings of the 27th Annual Conference of the European Association for Computer Graphics, 2006

2004

Estimating joint contact areas and ligament lengths from bone kinematics and surfaces.

G. Elisabeta Marai, David H. Laidlaw, Çagatay Demiralp, Stuart Andrews, Cindy M. Grimm, Joseph J. Crisco

IEEE Trans. Biomed. Eng., 2004

JointViewer - An Interactive System for Exploring Orthopedic Data.

G. Elisabeta Marai, Çagatay Demiralp, Stuart Andrews, David H. Laidlaw

Proceedings of the 15th IEEE Visualization Conference, 2004

2003

Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces.

Song Zhang, Çagatay Demiralp, David H. Laidlaw

IEEE Trans. Vis. Comput. Graph., 2003

2001

An Immersive Virtual Environment for DT-MRI Volume Visualization Applications: A Case Study.

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

Proceedings of the 12th IEEE Visualization Conference, 2001

Toward Application of Virtual Reality to Visualization of DT-MRI Volumes.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001