most citedRunning genetic algorithms on Hadoop for solving high dimensional optimization problems

8 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Pair2Score: Pairwise-to-Absolute Transfer for LLM-Based Essay Scoring

İbrahim Rıza Hallaç, Hasan Oğul

Many scoring applications require absolute predictions, while pairwise comparisons can provide a simpler learning objective. We present Pair2Score, a two-stage learning framework t…

cs.DC2018★ 1 cited

Distributed Readability Analysis Of Turkish Elementary School Textbooks

Betul Karakus, Ibrahim Riza Hallac, Galip Aydin

The readability assessment deals with estimating the level of difficulty in reading texts.Many readability tests, which do not indicate execution efficiency, have been applied on s…

cs.DC2018★ 1 cited

Distributed NLP

Galip Aydin, Ibrahim Riza Hallac

In this paper we present the performance of parallel text processing with Map Reduce on a cloud platform. Scientific papers in Turkish language are processed using Zemberek NLP lib…

cs.DC2018★ 8 cited

Running genetic algorithms on Hadoop for solving high dimensional optimization problems

Güngör Yildirim, İbrahim R Hallac, Galip Aydin +1

Hadoop is a popular MapReduce framework for developing parallel applications in distributed environments. Several advantages of MapReduce such as programming ease and ability to us…

cs.IR2018★ 6 cited

Document Classification Using Distributed Machine Learning

Galip Aydin, Ibrahim Riza Hallac

In this paper, we investigate the performance and success rates of Naïve Bayes Classification Algorithm for automatic classification of Turkish news into predetermined categories l…

cs.DC2018★ 2 cited

Distributed Log Analysis on the Cloud Using MapReduce

Galip Aydin, Ibrahim Riza Hallac

In this paper we describe our work on designing a web based, distributed data analysis system based on the popular MapReduce framework deployed on a small cloud; developed specific…

cs.CL2018★ 5 cited

Preparation of Improved Turkish DataSet for Sentiment Analysis in Social Media

Semiha Makinist, Ibrahim Riza Hallac, Betul Ay Karakus +1

A public dataset, with a variety of properties suitable for sentiment analysis [1], event prediction, trend detection and other text mining applications, is needed in order to be a…