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Maliheh Izadi
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2020 – today
- 2023
- [j5]Maliheh Izadi
, Mahtab Nejati, Abbas Heydarnoori:
Semantically-enhanced topic recommendation systems for software projects. Empir. Softw. Eng. 28(2): 50 (2023) - [c10]Tim van Dam, Maliheh Izadi, Arie van Deursen
:
Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study. MSR 2023: 170-182 - [c9]Rafael Kallis, Maliheh Izadi, Luca Pascarella, Oscar Chaparro, Pooja Rani:
The NLBSE'23 Tool Competition. NLBSE@ICSE 2023: 1-8 - [c8]Ali Al-Kaswan, Maliheh Izadi:
The (ab)use of Open Source Code to Train Large Language Models. NLBSE@ICSE 2023: 9-10 - [c7]Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen:
STACC: Code Comment Classification using SentenceTransformers. NLBSE@ICSE 2023: 28-31 - [c6]Ali Al-Kaswan
, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen
:
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie. SANER 2023: 260-271 - [i16]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen:
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries. CoRR abs/2301.01701 (2023) - [i15]Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen:
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge. CoRR abs/2302.07735 (2023) - [i14]Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen:
STACC: Code Comment Classification using SentenceTransformers. CoRR abs/2302.13149 (2023) - [i13]Ali Al-Kaswan, Maliheh Izadi:
The (ab)use of Open Source Code to Train Large Language Models. CoRR abs/2302.13681 (2023) - [i12]Tim van Dam, Maliheh Izadi, Arie van Deursen:
Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study. CoRR abs/2304.12269 (2023) - [i11]Jonathan Katzy, Maliheh Izadi, Arie van Deursen:
On the Impact of Language Selection for Training and Evaluating Programming Language Models. CoRR abs/2308.13354 (2023) - 2022
- [j4]Maliheh Izadi
, Kiana Akbari, Abbas Heydarnoori
:
Predicting the objective and priority of issue reports in software repositories. Empir. Softw. Eng. 27(2): 50 (2022) - [c5]Maliheh Izadi, Roberta Gismondi, Georgios Gousios:
CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences. ICSE 2022: 401-412 - [c4]Maliheh Izadi:
CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers. NLBSE 2022: 44-47 - [c3]Maliheh Izadi, Matin Nili Ahmadabadi:
On the Evaluation of NLP-based Models for Software Engineering. NLBSE 2022: 48-50 - [i10]Maliheh Izadi, Roberta Gismondi, Georgios Gousios:
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences. CoRR abs/2202.06689 (2022) - [i9]Maliheh Izadi, Matin Nili Ahmadabadi:
On the Evaluation of NLP-based Models for Software Engineering. CoRR abs/2203.17166 (2022) - [i8]Maliheh Izadi:
CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers. CoRR abs/2203.17196 (2022) - [i7]Maliheh Izadi, Mahtab Nejati, Abbas Heydarnoori:
Semantically-enhanced Topic Recommendation System for Software Projects. CoRR abs/2206.00085 (2022) - [i6]Maliheh Izadi, Pooya Rostami Mazrae, Tom Mens, Arie van Deursen:
LinkFormer: Automatic Contextualised Link Recovery of Software Artifacts in both Project-based and Transfer Learning Settings. CoRR abs/2211.00381 (2022) - 2021
- [j3]Maliheh Izadi
, Abbas Heydarnoori
, Georgios Gousios:
Topic recommendation for software repositories using multi-label classification algorithms. Empir. Softw. Eng. 26(5): 93 (2021) - [c2]Pooya Rostami Mazrae
, Maliheh Izadi, Abbas Heydarnoori
:
Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data. ICSME 2021: 263-273 - [i5]Pooya Rostami Mazrae, Maliheh Izadi, Abbas Heydarnoori:
Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data. CoRR abs/2107.01894 (2021) - 2020
- [j2]Alireza Aghamohammadi, Maliheh Izadi
, Abbas Heydarnoori
:
Generating summaries for methods of event-driven programs: An Android case study. J. Syst. Softw. 170: 110800 (2020) - [c1]MohammadReza Tavakoli, Maliheh Izadi
, Abbas Heydarnoori
:
Improving Quality of a Post's Set of Answers in Stack Overflow. SEAA 2020: 504-512 - [i4]MohammadReza Tavakoli, Maliheh Izadi, Abbas Heydarnoori:
Improving Quality of a Post's Set of Answers in Stack Overflow. CoRR abs/2006.00341 (2020) - [i3]Maliheh Izadi, Siavash Ganji, Abbas Heydarnoori:
Topic Recommendation for Software Repositories using Multi-label Classification Algorithms. CoRR abs/2010.09116 (2020) - [i2]Maliheh Izadi, Kiana Akbari, Abbas Heydarnoori:
Predicting the Objective and Priority of Issue Reports in a Cross project Context. CoRR abs/2012.10951 (2020)
2010 – 2019
- 2018
- [j1]Mahdi Jalili
, Sajad Ahmadian
, Maliheh Izadi
, Parham Moradi, Mostafa Salehi
:
Evaluating Collaborative Filtering Recommender Algorithms: A Survey. IEEE Access 6: 74003-74024 (2018) - [i1]Alireza Aghamohammadi, Abbas Heydarnoori, Maliheh Izadi:
Generating Summaries for Methods of Event-Driven Programs: an Android Case Study. CoRR abs/1812.04530 (2018)
Coauthor Index

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last updated on 2023-10-02 01:09 CEST by the dblp team
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