Seyed Mostafa Fakhrahmad

Orcid: 0000-0002-9517-0541

Affiliations:
  • Shiraz University, Shiraz, Iran


According to our database1, Seyed Mostafa Fakhrahmad authored at least 47 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
T5APR: Empowering automated program repair across languages through checkpoint ensemble.
J. Syst. Softw., 2024

Comparison of text-based and linked-based metrics in terms of estimating the similarity of articles.
J. Libr. Inf. Sci., 2024

Mining Influential Spreaders in Complex Networks by an Effective Combination of the Degree and K-Shell.
CoRR, 2024

Towards Efficient Patient Recruitment for Clinical Trials: Application of a Prompt-Based Learning Model.
CoRR, 2024

Estimating the severity of dental and oral problems via sentiment classification over clinical reports.
CoRR, 2024

RoBERTa, ResNeXt and BiLSTM with self-attention: The ultimate trio for customer sentiment analysis.
Appl. Soft Comput., 2024

Efficient Top-k Keyword Search in Relational Databases Considering Integrated Candidate Network.
IEEE Access, 2024

Predicting Node Influence in Complex Networks by the K-Shell Entropy and Degree Centrality.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023
Secure data outsourcing based on seed-residual shares and order-shuffling encryption.
J. Supercomput., June, 2023

A novel secure data outsourcing scheme based on data hiding and secret sharing for relational databases.
IET Commun., April, 2023

Induction of knowledge, attitude and practice of people toward a pandemic from Twitter: a comprehensive model based on opinion mining.
Kybernetes, 2023

2022
New attacks on secret sharing-based data outsourcing: toward a resistant scheme.
J. Supercomput., 2022

Application of k-means clustering algorithm to improve effectiveness of the results recommended by journal recommender system.
Scientometrics, 2022

Review-Based Recommender Systems: A Proposed Rating Prediction Scheme Using Word Embedding Representation of Reviews.
Comput. J., 2022

2021
Co-occurrence graph-based context adaptation: a new unsupervised approach to word sense disambiguation.
Digit. Scholarsh. Humanit., 2021

Traceability mining between unit test and source code based on textual analysis applied to software systems.
Digit. Scholarsh. Humanit., 2021

A Content-Based Model for Tag Recommendation in Software Information Sites.
Comput. J., 2021

2020
A proposed approach to determining expertise level of StackOverflow programmers based on mining of user comments.
J. Comput. Lang., 2020

An effective approach to candidate retrieval for cross-language plagiarism detection: A fusion of conceptual and keyword-based schemes.
Inf. Process. Manag., 2020

A semantic approach to extractive multi-document summarization: Applying sentence expansion for tuning of conceptual densities.
Inf. Process. Manag., 2020

Cross-language text alignment: A proposed two-level matching scheme for plagiarism detection.
Expert Syst. Appl., 2020

2019
In quest of new document relations: evaluating co-opinion relations between co-citations and its impact on Information retrieval effectiveness.
Scientometrics, 2019

Mining traces between source code and textual documents.
Int. J. Comput. Appl. Technol., 2019

2018
Mining and discovery of hidden relationships between software source codes and related textual documents.
Digit. Scholarsh. Humanit., 2018

A proposed scheme for sentiment analysis: Effective feature reduction based on statistical information of SentiWordNet.
Kybernetes, 2018

Leveraging textual properties of bug reports to localize relevant source files.
Inf. Process. Manag., 2018

Applying various distance functions and feature extraction schemes to ambiguity resolution.
Intell. Data Anal., 2018

Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns.
Int. Arab J. Inf. Technol., 2018

Local Distance Metric Learning for Nearest Neighbor Algorithm.
CoRR, 2018

Developing an Android-Based Patient Decision Aid Based on Ottawa Standards for Patients After Kidney Transplant and Its Usability Evaluation.
Proceedings of the pHealth 2018 - Proceedings of the 15th International Conference on Wearable Micro and Nano Technologies for Personalized Health,, 2018

2017
Perspell: A new Persian semantic-based spelling correction system.
Digit. Scholarsh. Humanit., 2017

2015
A user-profile-based friendship recommendation solution in social networks.
J. Inf. Sci., 2015

A proposed expert system for word sense disambiguation: deductive ambiguity resolution based on data mining and forward chaining.
Expert Syst. J. Knowl. Eng., 2015

Shiraz: A Proposed List Wise Approach to Answer Validation.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

2014
An accurate word sense disambiguation system based on weighted lexical features.
Lit. Linguistic Comput., 2014

2012
A new fuzzy rule-based classification system for word sense disambiguation.
Intell. Data Anal., 2012

An Efficient Frequent Itemset Mining Method over High-speed Data Streams.
Comput. J., 2012

2011
An Efficient Frequent Pattern Mining Method and its Parallelization in Transactional Databases.
J. Inf. Sci. Eng., 2011

A block-based approach for frequent itemset mining over data streams.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
Design-level metrics estimation based on code metrics.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2008
Constructing accurate fuzzy classifiers: A new adaptive method for rule-weight specification.
Int. J. Knowl. Based Intell. Eng. Syst., 2008

AD-Miner: A new incremental method for discovery of minimal approximate dependencies using logical operations.
Intell. Data Anal., 2008

2007
IQPI: An Incremental System for Answering Imprecise Queries Using Approximate Dependencies and Concept Similarities.
Proceedings of the World Congress on Engineering, 2007

Constructing Accurate Fuzzy Rule-Based Classification Systems Using Apriori Principles and Rule-Weighting.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Mining Frequent Itemsets in Large Data Warehouses: A Novel Approach Proposed for Sparse Data Sets.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Efficient Fuzzy Rule Generation: A New Approach Using Data Mining Principles and Rule Weighting.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Constructing Accurate Fuzzy Classification Systems: A New Approach Using Weighted Fuzzy Rules.
Proceedings of the 4th International Conference on Computer Graphics, 2007


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