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1
PyCG: Practical Call Graph Generation in Python
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PyCG: Practical Call Graph Generation in Python

Salis, Vitalis ; Sotiropoulos, Thodoris ; Louridas, Panos ; Spinellis, Diomidis ; Mitropoulos, Dimitris

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.1646-1657

IEEE

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2
Design Principles for Industrie 4.0 Scenarios
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Design Principles for Industrie 4.0 Scenarios

Hermann, Mario ; Pentek, Tobias ; Otto, Boris

2016 49th Hawaii International Conference on System Sciences (HICSS), 2016, p.3928-3937

IEEE

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3
SMARTIAN: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses
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SMARTIAN: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses

Choi, Jaeseung ; Kim, Doyeon ; Kim, Soomin ; Grieco, Gustavo ; Groce, Alex ; Cha, Sang Kil

2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021, p.227-239

IEEE

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4
Dependently Coupled Principal Component Analysis for Bivariate Inversion Problems
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Dependently Coupled Principal Component Analysis for Bivariate Inversion Problems

Dahiya, Navdeep ; Fan, Yifei ; Bignardi, Samuel ; Sandhu, Romeil ; Yezzi, Anthony

2020 25th International Conference on Pattern Recognition (ICPR), 2021, Vol.2020, p.10592-10599

United States: IEEE

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5
Identity Testing for Radical Expressions
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Identity Testing for Radical Expressions

Balaji, Nikhil ; Nosan, Klara ; Shirmohammadi, Mahsa ; Worrell, James

ACM

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6
Smoothed analysis of tensor decompositions
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Smoothed analysis of tensor decompositions

Bhaskara, Aditya ; Charikar, Moses ; Moitra, Ankur ; Vijayaraghavan, Aravindan

Proceedings of the forty-sixth annual ACM symposium on theory of computing, 2014, p.594-603 [Periódico revisado por pares]

ACM

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7
On the Recall of Static Call Graph Construction in Practice
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On the Recall of Static Call Graph Construction in Practice

Sui, Li ; Dietrich, Jens ; Tahir, Amjed ; Fourtounis, George

2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020, p.1049-1060

ACM

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8
Approximate Integer and Floating-Point Dividers with Near-Zero Error Bias
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Approximate Integer and Floating-Point Dividers with Near-Zero Error Bias

Saadat, Hassaan ; Javaid, Haris ; Parameswaran, Sri

2019 56th ACM/IEEE Design Automation Conference (DAC), 2019, p.1-6

ACM

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9
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
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CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Li, Yuhong ; Zhang, Xiaofan ; Chen, Deming

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.1091-1100

IEEE

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10
Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition
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Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition

Cabral, Ricardo ; De la Torre, Fernando ; Costeira, Joao P. ; Bernardino, Alexandre

2013 IEEE International Conference on Computer Vision, 2013, p.2488-2495

IEEE

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