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ORCIDÇagatay Demiralp
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2020 – today
- 2024
[c29]Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker:
Humboldt: Metadata-Driven Extensible Data Discovery. VLDB Workshops 2024- [i36]Çagatay Demiralp, Fabian Wenz, Peter Baile Chen, Moe Kayali, Nesime Tatbul, Michael Stonebraker:
Making LLMs Work for Enterprise Data Tasks. CoRR abs/2407.20256 (2024) - [i35]Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker:
Humboldt: Metadata-Driven Extensible Data Discovery. CoRR abs/2408.05439 (2024) - [i34]Peter Baile Chen, Fabian Wenz, Yi Zhang, Moe Kayali, Nesime Tatbul, Michael J. Cafarella, Çagatay Demiralp, Michael Stonebraker:
BEAVER: An Enterprise Benchmark for Text-to-SQL. CoRR abs/2409.02038 (2024) - 2023
- [j21]Madelon Hulsebos
, Çagatay Demiralp, Paul Groth:
GitTables: A Large-Scale Corpus of Relational Tables. Proc. ACM Manag. Data 1(1): 30:1-30:17 (2023) - [j20]Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig:
Data Extraction via Semantic Regular Expression Synthesis. Proc. ACM Program. Lang. 7(OOPSLA2): 1848-1877 (2023) - [j19]Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia:
R3: Record-Replay-Retroaction for Database-Backed Applications. Proc. VLDB Endow. 16(11): 3085-3097 (2023) - [c28]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 - [c27]Tianji Cong, James Gale, Jason Frantz, H. V. Jagadish, Çagatay Demiralp:
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses. CIDR 2023 - [c26]Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp:
VegaProf: Profiling Vega Visualizations. UIST 2023: 94:1-94:11 - [i33]Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig:
Data Extraction via Semantic Regular Expression Synthesis. CoRR abs/2305.10401 (2023) - [i32]Madelon Hulsebos, Paul Groth, Çagatay Demiralp:
AdaTyper: Adaptive Semantic Column Type Detection. CoRR abs/2311.13806 (2023) - 2022
- [j18]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): 3670-3673 (2022) - [c25]Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake M. Hofman, Çagatay Demiralp:
Investigating Perceptual Biases in Icon Arrays. CHI 2022: 137:1-137:12 - [c24]Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp:
Augmenting Decision Making via Interactive What-If Analysis. CIDR 2022 - [c23]Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp:
Making Table Understanding Work in Practice. CIDR 2022 - [c22]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: 1493-1503 - [i31]James Gale, Max Seiden, Deepanshu Utkarsh, Jason Frantz, Rob Woollen, Çagatay Demiralp:
Sigma Workbook: A Spreadsheet for Cloud Data Warehouses. CoRR abs/2204.03128 (2022) - [i30]Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Qian Li, Peter Kraft, Deeptaanshu Kumar, Çagatay Demiralp, Michael Stonebraker:
Machine Learning with DBOS. CoRR abs/2208.05101 (2022) - [i29]Sneha Gathani, Zhicheng Liu, Peter J. Haas, Çagatay Demiralp:
Predictive and Prescriptive Analytics in Business Decision Making: Needs and Concerns. CoRR abs/2212.13643 (2022) - [i28]Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp:
VegaProf: Profiling Vega Visualizations. CoRR abs/2212.13670 (2022) - [i27]Tianji Cong, James Gale, Jason Frantz, H. V. Jagadish, Çagatay Demiralp:
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses. CoRR abs/2212.14155 (2022) - [i26]Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia:
Transactions Make Debugging Easy. CoRR abs/2212.14161 (2022) - 2021
- [c21]Sajjadur Rahman, Peter Griggs, Çagatay Demiralp:
Leam: An Interactive System for In-situ Visual Text Analysis. CIDR 2021 - [c20]Dongjin Choi, Sara Evensen, Çagatay Demiralp, Estevam Hruschka:
TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration. WWW (Companion Volume) 2021: 673-677 - [i25]Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çagatay Demiralp, Chen Chen, Wang-Chiew Tan:
Annotating Columns with Pre-trained Language Models. CoRR abs/2104.01785 (2021) - [i24]Madelon Hulsebos, Çagatay Demiralp, Paul Groth:
GitTables: A Large-Scale Corpus of Relational Tables. CoRR abs/2106.07258 (2021) - [i23]Dongjin Choi, Sara Evensen, Çagatay Demiralp, Estevam Hruschka:
TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration. CoRR abs/2106.12767 (2021) - [i22]Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp:
Making Table Understanding Work in Practice. CoRR abs/2109.05173 (2021) - [i21]Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp:
Augmenting Decision Making via Interactive What-If Analysis. CoRR abs/2109.06160 (2021) - 2020
- [j17]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): 1835-1848 (2020) - [c19]Xiong Zhang, Jonathan Engel, Sara Evensen, Yuliang Li, Çagatay Demiralp, Wang-Chiew Tan:
Teddy: A System for Interactive Review Analysis. CHI 2020: 1-13 - [c18]Sara Evensen, Chang Ge, Çagatay Demiralp:
Ruler: Data Programming by Demonstration for Document Labeling. EMNLP (Findings) 2020: 1996-2005 - [i20]Xiong Zhang, Jonathan Engel, Sara Evensen, Yuliang Li, Çagatay Demiralp, Wang-Chiew Tan:
Teddy: A System for Interactive Review Analysis. CoRR abs/2001.05171 (2020) - [i19]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 abs/2004.03020 (2020) - [i18]Sara Evensen, Chang Ge, Dongjin Choi, Çagatay Demiralp:
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions. CoRR abs/2009.01444 (2020) - [i17]Sajjadur Rahman, Peter Griggs, Çagatay Demiralp:
Leam: An Interactive System for In-situ Visual Text Analysis. CoRR abs/2009.03520 (2020) - [i16]James Gale, Max Seiden, Çagatay Demiralp:
Sigma Worksheet: Interactive Construction of OLAP Queries. CoRR abs/2012.00697 (2020)
2010 – 2019
- 2019
- [j16]Victor Dibia, Çagatay Demiralp:
Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks. IEEE Computer Graphics and Applications 39(5): 33-46 (2019) - [j15]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): 529-540 (2019) - [j14]Marco Cavallo, Çagatay Demiralp:
Clustrophile 2: Guided Visual Clustering Analysis. IEEE Trans. Vis. Comput. Graph. 25(1): 267-276 (2019) - [j13]Bahador Saket, Alex Endert, Çagatay Demiralp:
Task-Based Effectiveness of Basic Visualizations. IEEE Trans. Vis. Comput. Graph. 25(7): 2505-2512 (2019) - [c17]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: 662 - [c16]Wenbo Tao, Xiaoyu Liu, Çagatay Demiralp, Remco Chang, Michael Stonebraker:
Kyrix: Interactive Visual Data Exploration at Scale. CIDR 2019 - [c15]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: 1500-1508 - [i15]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 abs/1905.04616 (2019) - [i14]Wenbo Tao, Xiaoyu Liu, Çagatay Demiralp, Remco Chang, Michael Stonebraker:
Kyrix: Interactive Visual Data Exploration at Scale. CoRR abs/1905.04638 (2019) - [i13]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 abs/1905.10688 (2019) - [i12]Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan:
Sato: Contextual Semantic Type Detection in Tables. CoRR abs/1911.06311 (2019) - 2018
- [j12]Marco Cavallo, Çagatay Demiralp:
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions. Comput. Graph. Forum 37(3): 339-349 (2018) - [c14]Marco Cavallo, Çagatay Demiralp:
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration. CHI 2018: 635 - [c13]Marco Cavallo, Çagatay Demiralp:
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration. CHI Extended Abstracts 2018 - [i11]Marco Cavallo, Çagatay Demiralp:
Clustrophile 2: Guided Visual Clustering Analysis. CoRR abs/1804.03048 (2018) - [i10]Victor Dibia, Çagatay Demiralp:
Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks. CoRR abs/1804.03126 (2018) - [i9]Marco Cavallo, Çagatay Demiralp:
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions. CoRR abs/1806.09256 (2018) - [i8]Bahador Saket, Dominik Moritz, Halden Lin, Victor Dibia, Çagatay Demiralp, Jeffrey Heer:
Beyond Heuristics: Learning Visualization Design. CoRR abs/1807.06641 (2018) - [i7]Selim Kalayci, Çagatay Demiralp, Zeynep H. Gümüs:
Developing Design Guidelines for Precision Oncology Reports. CoRR abs/1810.02391 (2018) - [i6]Marco Cavallo, Çagatay Demiralp:
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration. CoRR abs/1811.12199 (2018) - 2017
- [j11]Bum Chul Kwon, Janu Verma, Peter J. Haas, Çagatay Demiralp:
Sampling for Scalable Visual Analytics. IEEE Computer Graphics and Applications 37(1): 100-108 (2017) - [j10]Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati:
Foresight: Recommending Visual Insights. Proc. VLDB Endow. 10(12): 1937-1940 (2017) - [c12]Marco Cavallo, Çagatay Demiralp:
Xplorer: A system for visual analysis of sensor-based motor activity predictions. DSIA 2017: 1-4 - [i5]Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati:
Foresight: Recommending Visual Insights. CoRR abs/1707.03877 (2017) - [i4]Marco Cavallo, Çagatay Demiralp:
Exploring Dimensionality Reductions with Forward and Backward Projections. CoRR abs/1707.04281 (2017) - [i3]Bahador Saket, Alex Endert, Çagatay Demiralp:
Data and Task Based Effectiveness of Basic Visualizations. CoRR abs/1709.08546 (2017) - [i2]Çagatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy, Tejaswini Pedapati:
Foresight: Rapid Data Exploration Through Guideposts. CoRR abs/1709.10513 (2017) - [i1]Çagatay Demiralp:
Clustrophile: A Tool for Visual Clustering Analysis. CoRR abs/1710.02173 (2017) - 2016
- [c11]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 - 2015
- [j9]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:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c10]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: 41-55 - 2014
- [j8]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): 10-15 (2014) - [j7]Çagatay Demiralp, Michael S. Bernstein, Jeffrey Heer:
Learning Perceptual Kernels for Visualization Design. IEEE Trans. Vis. Comput. Graph. 20(12): 1933-1942 (2014) - 2013
- [b1]Çagatay Demiralp:
Computational Brain Connectivity Using Diffusion MRI. Brown University, USA, 2013 - [c9]Çagatay Demiralp, Eric Hayden, Jeff Hammerbacher, Jeffrey Heer:
invis: Exploring high-dimensional RNA sequences from in vitro selection. BioVis 2013: 1-8 - 2012
- [j6]Radu Jianu, Çagatay Demiralp, David H. Laidlaw:
Exploring Brain Connectivity with Two-Dimensional Neural Maps. IEEE Trans. Vis. Comput. Graph. 18(6): 978-987 (2012) - [c8]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: 369-376 - 2010
- [c7]Çagatay Demiralp, David H. Laidlaw:
Tract-Based Probability Densities of Diffusivity Measures in DT-MRI. MICCAI (1) 2010: 542-549 - [c6]Gabriel Taubin, Çagatay Demiralp:
Surface Deformations Driven by Vector-Valued 1-Forms. Shape Modeling International 2010: 251-255
2000 – 2009
- 2009
- [j5]Radu Jianu, Çagatay Demiralp, David H. Laidlaw:
Exploring 3D DTI Fiber Tracts with Linked 2D Representations. IEEE Trans. Vis. Comput. Graph. 15(6): 1449-1456 (2009) - [j4]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): 1457-1464 (2009) - 2008
- [c5]Çagatay Demiralp, Gregory Shakhnarovich, Song Zhang, David H. Laidlaw:
A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves. MICCAI (1) 2008: 1051-1059 - 2006
- [j3]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): 323-330 (2006) - [c4]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: 119-122 - 2004
- [j2]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): 790-799 (2004) - [c3]G. Elisabeta Marai, Çagatay Demiralp, Stuart Andrews, David H. Laidlaw:
JointViewer - An Interactive System for Exploring Orthopedic Data. IEEE Visualization 2004: 35 - 2003
- [j1]Song Zhang, Çagatay Demiralp, David H. Laidlaw:
Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces. IEEE Trans. Vis. Comput. Graph. 9(4): 454-462 (2003) - 2001
- [c2]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: 1406-1408 - [c1]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: 437-440
Coauthor Index
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