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Murat Can Ganiz
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2020 – today
- 2022
- [c20]Onur Akça, Giyaseddin Bayrak, Abdul Majeed Issifu, Murat Can Ganiz:
Traditional Machine Learning and Deep Learning-based Text Classification for Turkish Law Documents using Transformers and Domain Adaptation. INISTA 2022: 1-6 - [c19]Gökberk Çelkmasat, Muhammed Enes Aktürk, Yunus Emre Ertunç, Abdul Majeed Issifu, Murat Can Ganiz:
Biomedical Named Entity Recognition Using Transformers with biLSTM + CRF and Graph Convolutional Neural Networks. INISTA 2022: 1-6 - [c18]Muhlis Sariyer, Ahmet Akil, Feyza Nur Bulgurcu, Fatih Emin Öge, Murat Can Ganiz:
Individual Stock Price Prediction by Using KAP and Twitter Sentiments with Machine Learning for BIST30. INISTA 2022: 1-6 - [c17]Giyaseddin Bayrak, Muhammed Sakir Toprak, Murat Can Ganiz, Halife Kodaz, Ural Koç:
Deep Learning-Based Brain Hemorrhage Detection in CT Reports. MIE 2022: 866-867 - [i1]Aydin Gerek, Cüneyt Ferahlar, Bilge Sipal Sert, Mehmet Can Yüney, Onur Tasdemir, Zeynep Billur Kalafat, Mert Kelkit, Murat Can Ganiz:
Hyperbolic Centroid Calculations for Text Classification. CoRR abs/2211.04462 (2022) - 2021
- [c16]Nazrin Abbasli, Murat Can Ganiz:
Log and Execution Trace Analytics System. INISTA 2021: 1-7 - [c15]Özgür Ugur, Ali Atilla Arisoy, Murat Can Ganiz, Berkay Bolac:
Descriptive and Prescriptive Analysis of Construction Site Incidents Using Decision Tree Classification and Association Rule Mining. INISTA 2021: 1-6
2010 – 2019
- 2019
- [j10]Berna Altinel
, Murat Can Ganiz
Word sense disambiguation using semantic kernels with class-based term values. Turkish J. Electr. Eng. Comput. Sci. 27(4): 3180-3194 (2019) - [c14]Aydin Gerek, Mehmet Can Yüney, Erencan Erkaya, Murat Can Ganiz:
Effects of Positivization on the Paragraph Vector Model. INISTA 2019: 1-5 - [c13]Gökhan Kocaman, Bilge Sipal, Aydin Gerek, Berna Altinel, Murat Can Ganiz:
Diffused Label Propagation based Transductive Classification Algorithm for Word Sense Disambiguation. INISTA 2019: 1-6 - [c12]Selin Degirmenci
Waste Not: Meta-Embedding of Word and Context Vectors. NLDB 2019: 393-401 - 2018
- [j9]Berna Altinel, Murat Can Ganiz:
Semantic text classification: A survey of past and recent advances. Inf. Process. Manag. 54(6): 1129-1153 (2018) - 2017
- [j8]Berna Altinel
Instance labeling in semi-supervised learning with meaning values of words. Eng. Appl. Artif. Intell. 62: 152-163 (2017) - [c11]Mete Taspinar, Murat Can Ganiz, Tankut Acarman:
A Feature Based Simple Machine Learning Approach with Word Embeddings to Named Entity Recognition on Tweets. NLDB 2017: 254-259 - 2016
- [j7]Melike Tutkan, Murat Can Ganiz
Helmholtz principle based supervised and unsupervised feature selection methods for text mining. Inf. Process. Manag. 52(5): 885-910 (2016) - [j6]Berna Altinel
A new hybrid semi-supervised algorithm for text classification with class-based semantics. Knowl. Based Syst. 108: 50-64 (2016) - [c10]Murat Can Ganiz:
Semi-supervised learning using higher-order co-occurrence paths to overcome the complexity of data representation. SMC 2016: 2242-2247 - 2015
- [j5]Berna Altinel, Murat Can Ganiz
A corpus-based semantic kernel for text classification by using meaning values of terms. Eng. Appl. Artif. Intell. 43: 54-66 (2015) - [j4]Berna Altinel
A novel semantic smoothing kernel for text classification with class-based weighting. Knowl. Based Syst. 89: 265-277 (2015) - [c9]Murat Can Ganiz, Melike Tutkan, Selim Akyokus
A novel classifier based on meaning for text classification. INISTA 2015: 1-5 - [c8]Zeynep Hilal Kilimci, Murat Can Ganiz:
Evaluation of classification models for language processing. INISTA 2015: 1-8 - 2014
- [j3]Metin Turan
The Benchmark of Paragraph and Sentence Extraction Summaries on Outlier Document Filtering Applied Multi-Document Summarizer. Inf. Technol. Control. 43(4): 433-439 (2014) - [j2]Mitat Poyraz, Zeynep Hilal Kilimci, Murat Can Ganiz
Higher-Order Smoothing: A Novel Semantic Smoothing Method for Text Classification. J. Comput. Sci. Technol. 29(3): 376-391 (2014) - [c7]Berna Altinel, Murat Can Ganiz
A Semantic Kernel for Text Classification Based on Iterative Higher-Order Relations between Words and Documents. ICAISC (1) 2014: 505-517 - [c6]Berna Altinel, Murat Can Ganiz
A simple semantic kernel approach for SVM using higher-order paths. INISTA 2014: 431-435 - 2012
- [c5]Mitat Poyraz, Zeynep Hilal Kilimci, Murat Can Ganiz
A Novel Semantic Smoothing Method Based on Higher Order Paths for Text Classification. ICDM 2012: 615-624 - [c4]Zekeriya Uykan
Discrete-Time Hopfield Neural Network Based Text Clustering Algorithm. ICONIP (1) 2012: 551-559 - 2011
- [j1]Murat Can Ganiz
Higher Order Naïve Bayes: A Novel Non-IID Approach to Text Classification. IEEE Trans. Knowl. Data Eng. 23(7): 1022-1034 (2011)
2000 – 2009
- 2009
- [c3]Murat Can Ganiz
Leveraging Higher Order Dependencies between Features for Text Classification. ECML/PKDD (1) 2009: 375-390 - 2007
- [c2]Shenzhi Li, Christopher D. Janneck, Aditya P. Belapurkar, Murat Can Ganiz, Xiaoning Yang, Mark Dilsizian, Tianhao Wu, John M. Bright, William M. Pottenger:
Mining Higher-Order Association Rules from Distributed Named Entity Databases. ISI 2007: 236-243 - 2006
- [c1]Murat Can Ganiz
Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis. ICDM 2006: 874-879
Coauthor Index
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