Çagatay Demiralp

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 64

Top Topics

Forward And Backward

Recurrent Neural Networks

Data Exploration

Top Venues

Proc. VLDB Endow.

Publications

Çagatay Demiralp, Fabian Wenz, Peter Baile Chen, Moe Kayali, Nesime Tatbul, Michael Stonebraker
Making LLMs Work for Enterprise Data Tasks. CoRR (2024)
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia
Transactions Make Debugging Easy. CIDR (2023)
Madelon Hulsebos, Paul Groth, Çagatay Demiralp
AdaTyper: Adaptive Semantic Column Type Detection. CoRR (2023)
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia
: Record-Replay-Retroaction for Database-Backed Applications. Proc. VLDB Endow. 16 (11) (2023)
Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig
Data Extraction via Semantic Regular Expression Synthesis. CoRR (2023)
Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp
VegaProf: Profiling Vega Visualizations. UIST (2023)
Tianji Cong, James Gale, Jason Frantz, H. V. Jagadish, Çagatay Demiralp
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses. CIDR (2023)
Madelon Hulsebos, Çagatay Demiralp, Paul Groth
GitTables: A Large-Scale Corpus of Relational Tables. Proc. ACM Manag. Data 1 (1) (2023)
Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig
Data Extraction via Semantic Regular Expression Synthesis. Proc. ACM Program. Lang. 7 (OOPSLA2) (2023)
Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake M. Hofman, Çagatay Demiralp
Investigating Perceptual Biases in Icon Arrays. CHI (2022)
Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp
Making Table Understanding Work in Practice. CIDR (2022)
Tianji Cong, James Gale, Jason Frantz, H. V. Jagadish, Çagatay Demiralp
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses. CoRR (2022)
Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Qian Li, Peter Kraft, Deeptaanshu Kumar, Çagatay Demiralp, Michael Stonebraker
Machine Learning with DBOS. CoRR (2022)
Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp
VegaProf: Profiling Vega Visualizations. CoRR (2022)
Sneha Gathani, Zhicheng Liu, Peter J. Haas, Çagatay Demiralp
Predictive and Prescriptive Analytics in Business Decision Making: Needs and Concerns. CoRR (2022)
James Gale, Max Seiden, Deepanshu Utkarsh, Jason Frantz, Rob Woollen, Çagatay Demiralp
Sigma Workbook: A Spreadsheet for Cloud Data Warehouses. Proc. VLDB Endow. 15 (12) (2022)
Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia
Transactions Make Debugging Easy. CoRR (2022)
Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çagatay Demiralp, Chen Chen, Wang-Chiew Tan
Annotating Columns with Pre-trained Language Models. SIGMOD Conference (2022)
Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp
Augmenting Decision Making via Interactive What-If Analysis. CIDR (2022)
James Gale, Max Seiden, Deepanshu Utkarsh, Jason Frantz, Rob Woollen, Çagatay Demiralp
Sigma Workbook: A Spreadsheet for Cloud Data Warehouses. CoRR (2022)
Dongjin Choi, Sara Evensen, Çagatay Demiralp, Estevam Hruschka
TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration. CoRR (2021)
Dongjin Choi, Sara Evensen, Çagatay Demiralp, Estevam Hruschka
TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration. WWW (Companion Volume) (2021)
Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp
Making Table Understanding Work in Practice. CoRR (2021)
Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çagatay Demiralp, Chen Chen, Wang-Chiew Tan
Annotating Columns with Pre-trained Language Models. CoRR (2021)
Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp
Augmenting Decision Making via Interactive What-If Analysis. CoRR (2021)
Madelon Hulsebos, Çagatay Demiralp, Paul Groth
GitTables: A Large-Scale Corpus of Relational Tables. CoRR (2021)
Sajjadur Rahman, Peter Griggs, Çagatay Demiralp
Leam: An Interactive System for In-situ Visual Text Analysis. CIDR (2021)
Xiong Zhang, Jonathan Engel, Sara Evensen, Yuliang Li, Çagatay Demiralp, Wang-Chiew Tan
Teddy: A System for Interactive Review Analysis. CoRR (2020)
James Gale, Max Seiden, Çagatay Demiralp
Sigma Worksheet: Interactive Construction of OLAP Queries. CoRR (2020)
Sara Evensen, Chang Ge, Çagatay Demiralp
Ruler: Data Programming by Demonstration for Document Labeling. EMNLP (Findings) (2020)
Xiong Zhang, Jonathan Engel, Sara Evensen, Yuliang Li, Çagatay Demiralp, Wang-Chiew Tan
Teddy: A System for Interactive Review Analysis. CHI (2020)
Aaron Traylor, Chen Chen, Behzad Golshan, Xiaolan Wang, Yuliang Li, Yoshihiko Suhara, Jinfeng Li, Çagatay Demiralp, Wang-Chiew Tan
Enhancing Review Comprehension with Domain-Specific Commonsense. CoRR (2020)
Sajjadur Rahman, Peter Griggs, Çagatay Demiralp
Leam: An Interactive System for In-situ Visual Text Analysis. CoRR (2020)
Sara Evensen, Chang Ge, Dongjin Choi, Çagatay Demiralp
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions. CoRR (2020)
Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan
Sato: Contextual Semantic Type Detection in Tables. Proc. VLDB Endow. 13 (11) (2020)
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
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CHI (2019)
Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan
Sato: Contextual Semantic Type Detection in Tables. CoRR (2019)
Victor Dibia, Çagatay Demiralp
Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks. IEEE Computer Graphics and Applications 39 (5) (2019)
Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo
Sherlock: A Deep Learning Approach to Semantic Data Type Detection. CoRR (2019)
Wenbo Tao, Xiaoyu Liu, Çagatay Demiralp, Remco Chang, Michael Stonebraker
Kyrix: Interactive Visual Data Exploration at Scale. CIDR (2019)
Wenbo Tao, Xiaoyu Liu, Çagatay Demiralp, Remco Chang, Michael Stonebraker
Kyrix: Interactive Visual Data Exploration at Scale. CoRR (2019)
Wenbo Tao, Xiaoyu Liu, Yedi Wang, Leilani Battle, Çagatay Demiralp, Remco Chang, Michael Stonebraker
Kyrix: Interactive Pan/Zoom Visualizations at Scale. Comput. Graph. Forum 38 (3) (2019)
Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo
Sherlock: A Deep Learning Approach to Semantic Data Type Detection. KDD (2019)
Bahador Saket, Alex Endert, Çagatay Demiralp
Task-Based Effectiveness of Basic Visualizations. IEEE Trans. Vis. Comput. Graph. 25 (7) (2019)
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
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CoRR (2019)
Marco Cavallo, Çagatay Demiralp
Clustrophile 2: Guided Visual Clustering Analysis. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Bahador Saket, Dominik Moritz, Halden Lin, Victor Dibia, Çagatay Demiralp, Jeffrey Heer
Beyond Heuristics: Learning Visualization Design. CoRR (2018)
Selim Kalayci, Çagatay Demiralp, Zeynep H. Gümüs
Developing Design Guidelines for Precision Oncology Reports. CoRR (2018)
Marco Cavallo, Çagatay Demiralp
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions. CoRR (2018)
Victor Dibia, Çagatay Demiralp
Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks. CoRR (2018)
Marco Cavallo, Çagatay Demiralp
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration. CoRR (2018)
Marco Cavallo, Çagatay Demiralp
Clustrophile 2: Guided Visual Clustering Analysis. CoRR (2018)
Marco Cavallo, Çagatay Demiralp
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions. Comput. Graph. Forum 37 (3) (2018)
Marco Cavallo, Çagatay Demiralp
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration. CHI Extended Abstracts (2018)
Marco Cavallo, Çagatay Demiralp
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration. CHI (2018)
Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati
Foresight: Recommending Visual Insights. CoRR (2017)
Bum Chul Kwon, Janu Verma, Peter J. Haas, Çagatay Demiralp
Sampling for Scalable Visual Analytics. IEEE Computer Graphics and Applications 37 (1) (2017)
Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati
Foresight: Rapid Data Exploration Through Guideposts. CoRR (2017)
Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati
Foresight: Recommending Visual Insights. Proc. VLDB Endow. 10 (12) (2017)
Çagatay Demiralp
Clustrophile: A Tool for Visual Clustering Analysis. CoRR (2017)
Bahador Saket, Alex Endert, Çagatay Demiralp
Data and Task Based Effectiveness of Basic Visualizations. CoRR (2017)
Marco Cavallo, Çagatay Demiralp
Exploring Dimensionality Reductions with Forward and Backward Projections. CoRR (2017)
Marco Cavallo, Çagatay Demiralp
Xplorer: A system for visual analysis of sensor-based motor activity predictions. DSIA (2017)
Pei-Yun Sabrina Hsueh, Susan Peterson, Fernando José Martín-Sánchez, Katherine K. Kim, Çagatay Demiralp
Transforming Patient-generated Data for Wellness and Biomedical Research: From Behavioral Sensing to Decision Support. AMIA (2016)
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 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
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34 (10) (2015)
Çagatay Demiralp, Jesse Cirimele, Jeffrey Heer, Stuart K. Card
The VERP Explorer: A Tool for Exploring Eye Movements of Visual-Cognitive Tasks Using Recurrence Plots. ETVIS (2015)
Çagatay Demiralp, Michael S. Bernstein, Jeffrey Heer
Learning Perceptual Kernels for Visualization Design. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)
Çagatay Demiralp, Carlos Eduardo Scheidegger, Gordon L. Kindlmann, David H. Laidlaw, Jeffrey Heer
Visual Embedding: A Model for Visualization. IEEE Computer Graphics and Applications 34 (1) (2014)
Çagatay Demiralp, Eric Hayden, Jeff Hammerbacher, Jeffrey Heer
invis: Exploring high-dimensional RNA sequences from in vitro selection. BioVis (2013)
Radu Jianu, Çagatay Demiralp, David H. Laidlaw
Exploring Brain Connectivity with Two-Dimensional Neural Maps. IEEE Trans. Vis. Comput. Graph. 18 (6) (2012)
Darko Zikic, Ben Glocker, Ender Konukoglu, Antonio Criminisi, Çagatay Demiralp, Jamie Shotton, Owen M. Thomas, Tilak Das, Raj Jena, Stephen J. Price
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR. MICCAI (3) (2012)
Çagatay Demiralp, David H. Laidlaw
Tract-Based Probability Densities of Diffusivity Measures in DT-MRI. MICCAI (1) (2010)
Gabriel Taubin, Çagatay Demiralp
Surface Deformations Driven by Vector-Valued 1-Forms. Shape Modeling International (2010)
Radu Jianu, Çagatay Demiralp, David H. Laidlaw
Exploring 3D DTI Fiber Tracts with Linked 2D Representations. IEEE Trans. Vis. Comput. Graph. 15 (6) (2009)
Çagatay Demiralp, John F. Hughes, David H. Laidlaw
Coloring 3D Line Fields Using Boy's Real Projective Plane Immersion. IEEE Trans. Vis. Comput. Graph. 15 (6) (2009)
Çagatay Demiralp, Gregory Shakhnarovich, Song Zhang, David H. Laidlaw
A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves. MICCAI (1) (2008)
Çagatay Demiralp, Cullen D. Jackson, David B. Karelitz, Song Zhang, David H. Laidlaw
CAVE and Fishtank Virtual-Reality Displays: A Qualitative and Quantitative Comparison. IEEE Trans. Vis. Comput. Graph. 12 (3) (2006)
Çagatay Demiralp, Song Zhang, David F. Tate, Stephen Correia, David H. Laidlaw
Connectivity-Aware Sectional Visualization of 3D DTI Volumes using Perceptual Flat-Torus Coloring and Edge Rendering. Eurographics (Short Presentations) (2006)
G. Elisabeta Marai, Çagatay Demiralp, Stuart Andrews, David H. Laidlaw
JointViewer - An Interactive System for Exploring Orthopedic Data. IEEE Visualization (2004)
G. Elisabeta Marai, David H. Laidlaw, Çagatay Demiralp, Stuart Andrews, Cindy M. Grimm, Joseph J. Crisco
Estimating joint contact areas and ligament lengths from bone kinematics and surfaces. IEEE Trans. Biomed. Eng. 51 (5) (2004)
Song Zhang, Çagatay Demiralp, David H. Laidlaw
Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces. IEEE Trans. Vis. Comput. Graph. 9 (4) (2003)
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
Toward Application of Virtual Reality to Visualization of DT-MRI Volumes. MICCAI (2001)
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
An Immersive Virtual Environment for DT-MRI Volume Visualization Applications: A Case Study. IEEE Visualization (2001)