Appointment: Associate Professor

Research topics:

My research interests span the topics of large-scale resilient distributed systems, information security and applications of data analytics.

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1 to 10 of 34 Results
crocodai.tar.gz
Jun 20, 2023 - Code to reproduce the CroCoDai analysis and experiments
Gzip Archive - 5.9 MB - MD5: 32642f40f644b2825f10e5e1f9348e37
Codeforces Dataset Part 1.zip
May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models
ZIP Archive - 50.9 MB - MD5: 174acb07aa594e6894520042f9038498
Dataset
Codeforces Dataset Part 2.zip
May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models
ZIP Archive - 54.7 MB - MD5: 58da50cc5d7a27484673a55769105516
Dataset
dataprep_similar_problems.ipynb
May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Jupyter Notebook - 6.7 KB - MD5: 77cd5eee398628fc467b4da048ac5f55
Generate pairs for the pair of problems to be compared
model.py
May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Python Source Code - 1.8 KB - MD5: eb1d31c22a9e32bc601b6f1a7ead84af
CPSC model file
preliminary_tests_similar_problems.ipynb
May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Jupyter Notebook - 64.0 KB - MD5: 71368741aa3ee413af1aab1c2748f1bf
Notebook for preliminary tests
run.py
May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Python Source Code - 12.9 KB - MD5: 42615d85a0c47cbe646862a387af1fbd
CPSC run file
run_similar_problems.py
May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Python Source Code - 16.8 KB - MD5: a96bbdaedd2ba810cc5d2a7b00bc7bf7
Code file for preliminary tests
UniXcoder_notebook.ipynb
May 8, 2023 - Dataset and Code for: Code problem similarity detection using code clones and pretrained models
Jupyter Notebook - 9.1 KB - MD5: a6310d6fcc3c8ed39371cfbe7e795f44
Results for UniXcoder model (0.905)
Misleading_COVID19_manual_labels.txt
May 11, 2022 - Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic
Plain Text - 34.0 KB - MD5: ecaa79c72b780eb980a8445bceeb6c66
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