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Ji Meng Loh
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2020 – today
- 2025
- [j9]Samia Al Blwi, Imen Marsit, Besma Khaireddine, Amani Ayad, Ji Meng Loh, Ali Mili:
Subsumption, correctness and relative correctness: Implications for software testing. Sci. Comput. Program. 239: 103177 (2025) - 2022
- [c15]Samia Al Blwi, Imen Marsit, Besma Khaireddine, Amani Ayad, Ji Meng Loh, Ali Mili:
Generalized Mutant Subsumption. ICSOFT 2022: 46-56 - [c14]Samia Al Blwi, Imen Marsit, Besma Khaireddine, Amani Ayad, Ji Meng Loh, Ali Mili
:
Three Forms of Mutant Subsumption: Basic, Strict and Broad. ICSOFT (Selected Papers) 2022: 122-144 - 2021
- [j8]Imen Marsit, Amani Ayad, David Kim
, Monsour Latif, Ji Meng Loh, Mohamed Nazih Omri
, Ali Mili:
The ratio of equivalent mutants: A key to analyzing mutation equivalence. J. Syst. Softw. 181: 111039 (2021)
2010 – 2019
- 2019
- [c13]Amani Ayad, Imen Marsit, Ji Meng Loh, Mohamed Nazih Omri, Ali Mili:
Quantitative Metrics for Mutation Testing. ICSOFT 2019: 49-59 - [c12]Amani Ayad, Imen Marsit, Sara Tawfig, Ji Meng Loh, Mohamed Nazih Omri, Ali Mili
:
Quantitative Analysis of Mutant Equivalence. ICSOFT (Selected Papers) 2019: 58-80 - [c11]Amani Ayad
, Imen Marsit, Ji Meng Loh, Mohamed Nazih Omri
, Ali Mili:
Estimating the Number of Equivalent Mutants. ICST Workshops 2019: 112-121 - [i2]Laure Berti-Équille
, Ji Meng Loh, Saravanan Thirumuruganathan:
Are Outlier Detection Methods Resilient to Sampling? CoRR abs/1907.13276 (2019) - 2018
- [c10]Amani Ayad, Imen Marsit, Mohamed Nazih Omri, Ji Meng Loh, Ali Mili
:
Using Semantic Metrics to Predict Mutation Equivalence. ICSOFT (Selected Papers) 2018: 3-27 - [c9]Imen Marsit, Mohamed Nazih Omri, Ji Meng Loh, Ali Mili:
Impact of Mutation Operators on Mutant Equivalence. ICSOFT 2018: 55-66 - [c8]Imen Marsit, Mohamed Nazih Omri
, Ji Meng Loh, Ali Mili:
Impact of Mutation Operators on the Ratio of Equivalent Mutants. SoMeT 2018: 664-677 - 2017
- [c7]Ruihua Cheng, Ji Meng Loh:
Learning-Based Method with Valence Shifters for Sentiment Analysis. ICDM Workshops 2017: 357-364 - 2015
- [j7]Laure Berti-Équille
, Ji Meng Loh, Tamraparni Dasu:
A masking index for quantifying hidden glitches. Knowl. Inf. Syst. 44(2): 253-277 (2015) - 2014
- [j6]Ji Meng Loh:
Spatial detection of anomalous cellular network events. Stat. Anal. Data Min. 7(3): 212-225 (2014) - [c6]Tamraparni Dasu, Ji Meng Loh, Divesh Srivastava:
Empirical glitch explanations. KDD 2014: 572-581 - 2013
- [j5]Richard A. Becker, Ramón Cáceres, Karrie J. Hanson, Sibren Isaacman
, Ji Meng Loh, Margaret Martonosi, James Rowland, Simon Urbanek
, Alexander Varshavsky, Chris Volinsky:
Human mobility characterization from cellular network data. Commun. ACM 56(1): 74-82 (2013) - [j4]Ji Meng Loh, Tamraparni Dasu:
Auditing data streams for correlated glitches. Int. J. Inf. Qual. 3(2): 85-106 (2013) - [c5]Laure Berti-Équille
, Ji Meng Loh, Tamraparni Dasu:
A Masking Index for Quantifying Hidden Glitches. ICDM 2013: 21-30 - 2012
- [j3]Tamraparni Dasu, Ji Meng Loh:
Statistical Distortion: Consequences of Data Cleaning. Proc. VLDB Endow. 5(11): 1674-1683 (2012) - [c4]Ji Meng Loh, Tamraparni Dasu:
Effect of Data Repair on Mining Network Streams. ICDM Workshops 2012: 226-233 - [i1]Tamraparni Dasu, Ji Meng Loh:
Statistical Distortion: Consequences of Data Cleaning. CoRR abs/1208.1932 (2012) - 2011
- [j2]Richard A. Becker, Ramón Cáceres, Karrie J. Hanson, Ji Meng Loh, Simon Urbanek
, Alexander Varshavsky, Chris Volinsky:
A Tale of One City: Using Cellular Network Data for Urban Planning. IEEE Pervasive Comput. 10(4): 18-26 (2011) - [c3]Richard A. Becker, Ramón Cáceres, Karrie J. Hanson, Ji Meng Loh, Simon Urbanek
, Alexander Varshavsky, Chris Volinsky:
Route classification using cellular handoff patterns. UbiComp 2011: 123-132 - [c2]Ji Meng Loh, Tamraparni Dasu:
Auditing data streams for correlated glitches. ICIQ 2011 - 2010
- [c1]Ramaswamy Hariharan, Ji Meng Loh, James Shanahan, Kenji Yamada:
Spatial probabilistic modeling of calls to businesses. GIS 2010: 466-469
2000 – 2009
- 2009
- [j1]Martin A. Lindquist, Ji Meng Loh, Lauren Y. Atlas
, Tor D. Wager:
Modeling the hemodynamic response function in fMRI: Efficiency, bias and mis-modeling. NeuroImage 45(1): S187-S198 (2009)
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