Jorge Piazentin Ono

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All published works
Action Title Year Authors
+ PDF Chat USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation 2024 Xiaoqi Wang
Wenbin He
Xiwei Xuan
Clint Sebastian
Jorge Piazentin Ono
Xin Li
Sima Behpour
Thang Doan
Liang Gou
Han Shen
+ Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis 2024 Jiajing Guo
Vikram Mohanty
Jorge Piazentin Ono
Hongtao Hao
Liang Gou
Liu Ren
+ AttributionScanner: A Visual Analytics System for Metadata-Free Data-Slicing Based Model Validation 2024 Xiwei Xuan
Jorge Piazentin Ono
Liang Gou
Kwan‐Liu Ma
Ren Liu
+ AlphaD3M: Machine Learning Pipeline Synthesis. 2021 Iddo Drori
Yamuna Krishnamurthy
RĂ©mi Rampin
Raoni Lourenço
Jorge Piazentin Ono
Kyunghyun Cho
Claudio Silva
Juliana Freire
+ AlphaD3M: Machine Learning Pipeline Synthesis 2021 Iddo Drori
Yamuna Krishnamurthy
RĂ©mi Rampin
Raoni Lourenço
Jorge Piazentin Ono
Kyunghyun Cho
Claudio Silva
Juliana Freire
+ PDF Chat <i>PipelineProfiler:</i> A Visual Analytics Tool for the Exploration of AutoML Pipelines 2020 Jorge Piazentin Ono
Sonia Castelo
Roque LĂłpez
Enrico Bertini
Juliana Freire
Claudio Silva
+ PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines 2020 Jorge Piazentin Ono
Sonia Castelo
Roque LĂłpez
Enrico Bertini
Juliana Freire
Claudio Silva
+ PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines 2020 Jorge Piazentin Ono
Sonia Castelo
Roque LĂłpez
Enrico Bertini
Juliana Freire
Claudio Silva
+ Visus 2019 AĂ©cio Santos
Sonia Castelo
Cristian Felix
Jorge Piazentin Ono
Bowen Yu
Sung-Soo Hong
Claudio Silva
Enrico Bertini
Juliana Freire
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Visual Analytics for Automated Model Discovery. 2018 Dylan Cashman
Shah Rukh Humayoun
Florian Heimerl
Kendall Park
Subhajit Das
J. Thompson
Bahador Saket
Ab Mosca
John Stasko
Alex Endert
3
+ PDF Chat OpenML 2014 Joaquin Vanschoren
Jan N. van Rijn
Bernd Bischl
Luı́s Torgo
3
+ PDF Chat ATMSeer 2019 Qianwen Wang
Ming Yao
Zhihua Jin
Qiaomu Shen
Dongyu Liu
Micah J. Smith
Kalyan Veeramachaneni
Huamin Qu
2
+ Handbook of Parametric and Nonparametric Statistical Procedures 2004 David J. Sheskin
2
+ The instability of the Pearson correlation coefficient in the presence of coincidental outliers 2014 Yun Mi Kim
Tae‐Hwan Kim
Tolga ErgĂŒn
2
+ Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers 2018 Fred Hohman
Minsuk Kahng
Robert Pienta
Duen Horng Chau
2
+ PDF Chat explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning 2019 Thilo Spinner
Udo Schlegel
Hanna SchÀfer
Mennatallah El‐Assady
2
+ Towards better analysis of machine learning models: A visual analytics perspective 2017 Shi‐Xia Liu
Xiting Wang
Mengchen Liu
Jun Zhu
2
+ PDF Chat Democratizing Data Science through Interactive Curation of ML Pipelines 2019 Zeyuan Shang
Emanuel Zgraggen
Benedetto Buratti
Ferdinand Kossmann
Philipp Eichmann
Yeounoh Chung
Carsten Binnig
Eli Upfal
Tim Kraska
2
+ PDF Chat AutoAIViz 2020 Daniel Karl I. Weidele
Justin D. Weisz
Erick Oduor
Michael MĂŒller
Josh Andrés
Alexander Gray
Dakuo Wang
2
+ PDF Chat Hyperparameter Importance Across Datasets 2018 Jan N. van Rijn
Frank Hutter
2
+ PDF Chat Conditional Parallel Coordinates 2019 Daniel Karl I. Weidele
2
+ PDF Chat The NumPy Array: A Structure for Efficient Numerical Computation 2011 Stéfan van der Walt
Steven C. Colbert
Gaël Varoquaux
2
+ Unsupervised Domain Adaptation by Backpropagation 2014 Yaroslav Ganin
Victor Lempitsky
1
+ Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. 2019 Dylan Cashman
Adam Perer
Remco Chang
Hendrik Strobelt
1
+ PDF Chat Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures 2019 Dylan Cashman
Adam Perer
Remco Chang
Hendrik Strobelt
1
+ PDF Chat A User‐based Visual Analytics Workflow for Exploratory Model Analysis 2019 Dylan Cashman
Shah Rukh Humayoun
Florian Heimerl
Kendall Park
Subhajit Das
J. Thompson
Bahador Saket
Ab Mosca
John Stasko
Alex Endert
1
+ PDF Chat AutoML to Date and Beyond: Challenges and Opportunities 2021 Shubhra Kanti Karmaker
Md. Mahadi Hassan
Micah J. Smith
Lei Xu
ChengXiang Zhai
Kalyan Veeramachaneni
1
+ AlphaD3M: Machine Learning Pipeline Synthesis. 2021 Iddo Drori
Yamuna Krishnamurthy
RĂ©mi Rampin
Raoni Lourenço
Jorge Piazentin Ono
Kyunghyun Cho
Claudio Silva
Juliana Freire
1
+ AlphaD3M: Machine Learning Pipeline Synthesis 2021 Iddo Drori
Yamuna Krishnamurthy
RĂ©mi Rampin
Raoni Lourenço
Jorge Piazentin Ono
Kyunghyun Cho
Claudio Silva
Juliana Freire
1
+ PDF Chat Human-AI Collaboration in Data Science 2019 Dakuo Wang
Justin D. Weisz
Michael MĂŒller
Parikshit Ram
Philipp Geyer
Casey Dugan
Yla Tausczik
Horst Samulowitz
Alexander Gray
1
+ Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar 2019 Iddo Drori
Yamuna Krishnamurthy
Raoni Lourenço
RĂ©mi Rampin
Kyunghyun Cho
Claudio Silva
Juliana Freire
1
+ PDF Chat Fairness Beyond Disparate Treatment &amp; Disparate Impact 2017 Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez-Rodriguez
Krishna P. Gummadi
1
+ Handbook of Parametric and Nonparametric Statistical Procedures 2003 David J. Sheskin
1
+ Survey of Hallucination in Natural Language Generation 2022 Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
Dan Su
Yan Xu
Etsuko Ishii
Ye Jin Bang
Andrea Madotto
Pascale Fung
1
+ PDF Chat Grounded Copilot: How Programmers Interact with Code-Generating Models 2023 Shraddha Barke
Michael B. James
Nadia Polikarpova
1
+ A survey on measuring indirect discrimination in machine learning 2015 Indrė Ćœliobaitė
1
+ On the Design of AI-powered Code Assistants for Notebooks 2023 Andrew McNutt
Chenglong Wang
Robert DeLine
Steven M. Drucker
1
+ PDF Chat Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science 2016 Randal S. Olson
Nathan Bartley
Ryan J. Urbanowicz
Jason H. Moore
1
+ Equality of Opportunity in Supervised Learning 2016 Moritz Hardt
Eric Price
Nathan Srebro
1
+ PDF Chat Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment 2017 Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez-Rodriguez
Krishna P. Gummadi
1
+ PDF Chat PMLB: a large benchmark suite for machine learning evaluation and comparison 2017 Randal S. Olson
William La Cava
Patryk Orzechowski
Ryan J. Urbanowicz
Jason H. Moore
1
+ Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm 2017 David Silver
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
Matthew Lai
Arthur Guez
Marc Lanctot
Laurent Sifre
Dharshan Kumaran
Thore Graepel
1
+ Solving the Rubik's Cube Without Human Knowledge. 2018 Stephen McAleer
Forest Agostinelli
Alexander Shmakov
Pierre Baldi
1
+ PDF Chat RuleMatrix: Visualizing and Understanding Classifiers with Rules 2018 Ming Yao
Huamin Qu
Enrico Bertini
1
+ Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar. 2019 Iddo Drori
Yamuna Krishnamurthy
Raoni Lourenço
RĂ©mi Rampin
Kyunghyun Cho
Claudio Silva
Juliana Freire
1
+ MacroBase: Prioritizing Attention in Fast Data 2016 Peter Bailis
Edward Gan
Samuel Madden
Deepak Narayanan
Kexin Rong
Sahaana Suri
1
+ Visus 2019 AĂ©cio Santos
Sonia Castelo
Cristian Felix
Jorge Piazentin Ono
Bowen Yu
Sung-Soo Hong
Claudio Silva
Enrico Bertini
Juliana Freire
1
+ PDF Chat Generating Sentences by Editing Prototypes 2018 Kelvin Guu
Tatsunori Hashimoto
Yonatan Oren
Percy Liang
1
+ Thinking Fast and Slow with Deep Learning and Tree Search 2017 Thomas Anthony
Tian Zheng
David Barber
1