Clustering Application Benchmark. - Oguz Altun; Nilgun Dursunoglu; Mehmet Fatih Amasyali (IISWC, 2006)

Comparison of Different Neural Networks Performances on Motorboat Datasets. - Mehmet Fatih Amasyali; Mert Bal; Ugur Bugra Çelebi; Serkan Ekinci; U. Kasif Boyaci (ISCIS, 2006)

Automatic Turkish Text Categorization in Terms of Author, Genre and Gender. - Mehmet Fatih Amasyali; Banu Diri (NLDB, 2006)

Author Attribution of Turkish Texts by Feature Mining. - Filiz Türkoglu; Banu Diri; Mehmet Fatih Amasyali (ICIC (1), 2007)

Cline: A New Decision-Tree Family. - Mehmet Fatih Amasyali; Okan K. Ersoy (IEEE Trans. Neural Networks, 2008)

Yeni makine öğrenmesi metotları ve ilaç tasarımına uygulamaları (New machine learning algorithms and applications to drug design) - Mehmet Fatih Amasyali (2008)

Predictions of oil/chemical tanker main design parameters using computational intelligence techniques. - Serkan Ekinci; Ugur Bugra Çelebi; Mert Bal; Mehmet Fatih Amasyali; U. Kasif Boyaci (Appl. Soft Comput., 2011)

Word trajectories. - Mehmet Fatih Amasyali; Yunusemre Yener; Selim Serkan Kaplan (SIU, 2012)

Routing with Dijkstra in Mobile Ad-Hoc Networks. - Khudaydad Mahmoodi; Muhammet Balcilar; Mehmet Fatih Amasyali; Sirma Yavuz 001; Yücel Uzun; Feruz Davletov (RoboCup, 2013)

Active learning with committees and the selection of starting sets. - Cem Agan; Mehmet Fatih Amasyali (SIU, 2013)

Evaluation of robustness of ensemble learners to noisy data. - Abdulkadir Albayrak; M. Özgür Cingiz; Mehmet Fatih Amasyali (SIU, 2013)

A semi-random subspace method for classification ensembles. - Mehmet Fatih Amasyali (SIU, 2013)

Supervised and traditional term weighting methods for sentiment analysis. - Mahmut Cetin; Mehmet Fatih Amasyali (SIU, 2013)

KNN parameter selection via meta learning. - Zeynep Banu Ozger; Mehmet Fatih Amasyali (SIU, 2013)

Using range and inertia sensors for trajectory and pose estimation. - Furkan Cakmak; Erkan Uslu; Sirma Yavuz 001; Mehmet Fatih Amasyali; Muhammet Balcilar; Nihal Altuntas (SIU, 2014)

Obstacle avoidance with Vector Field Histogram algorithm for search and rescue robots. - Gurkan Sahin; Muhammet Balcilar; Erkan Uslu; Sirma Yavuz 001; Mehmet Fatih Amasyali (SIU, 2014)

Analysis of Changes in Market Shares of Commercial Banks Operating in Turkey Using Computational Intelligence Algorithms. - Mehmet Fatih Amasyali; Ayse Demirhan; Mert Bal (Adv. Artif. Intell., 2014)

Decision support system for collision avoidance of vessels. - Ugur Simsir; Mehmet Fatih Amasyali; Mert Bal; Ugur Bugra Çelebi; Seniz Ertugrul (Appl. Soft Comput., 2014)

Classifier Ensembles with the Extended Space Forest. - Mehmet Fatih Amasyali; Okan K. Ersoy (IEEE Trans. Knowl. Data Eng., 2014)

Implementation of frontier-based exploration algorithm for an autonomous robot. - Erkan Uslu; Furkan Cakmak; Muhammet Balcilar; Attila Akinci; Mehmet Fatih Amasyali; Sirma Yavuz 001 (INISTA, 2015)

Comparison of machine learning methods for the sequence labelling applications. - Mehmet Fatih Amasyali; Metin Bilgin (SIU, 2015)

Frontier-based autonomous exploration algorithm implementation. - Erkan Uslu; Furkan Cakmak; Muhammet Balcilar; Mehmet Fatih Amasyali; Sirma Yavuz 001 (SIU, 2015)

Human victim detection with Deformable Part Models. - Bedir Yilmaz; Muhammet Balcilar; Mehmet Fatih Amasyali; Sirma Yavuz 001 (SIU, 2015)

An architecture for multi-robot hector mapping. - Muhammet Balcilar; Erkan Uslu; Furkan Cakmak; Nihal Altuntas; Salih Marangoz; Mehmet Fatih Amasyali; Sirma Yavuz 001 (INISTA, 2016)

3 dimensional thermal mapping. - Nihal Altuntas; Furkan Cakmak; Erkan Uslu; Muhammet Balcilar; Mehmet Fatih Amasyali; Sirma Yavuz 001 (SIU, 2016)

Deformable part model and deep learning comparison on victim detection. - Furkan Cakmak; Erkan Uslu; Nihal Altuntas; Salih Marangoz; Muhammet Balcilar; Mehmet Fatih Amasyali; Sirma Yavuz 001 (SIU, 2016)

Text2arff: A text representation library. - Ender Can; Mehmet Fatih Amasyali (SIU, 2016)

Time effect in sentiment analysis. - Meryem Ekinci; M. Said Ozcan; Mehmet Fatih Amasyali (SIU, 2016)

Impact of artificial dataset enlargement on performance of deformable part models. - Bedir Yilmaz; Mehmet Fatih Amasyali; Muhammet Balcilar; Erkan Uslu; Sirma Yavuz 001 (SIU, 2016)

Thermal based exploration for search and rescue robots. - Furkan Cakmak; Erkan Uslu; Mehmet Fatih Amasyali; Sirma Yavuz 001 (INISTA, 2017)

Ensemble learning with surrogate splits. - Mehmet Fatih Amasyali (SIU, 2017)

Hazmat charts detection on search and rescue league of RoboCup competitions. - Furkan Cakmak; Erkan Uslu; Mehmet Fatih Amasyali; Sirma Yavuz 001 (SIU, 2017)

Design and implementation of an outdoor line follower robot for RoboCup search and rescue league. - Mustafa Burak Dilaver; Erkan Uslu; Furkan Cakmak; Nihal Altuntas; Mehmet Fatih Amasyali; Sirma Yavuz 001 (SIU, 2017)

Autonomous mobile robot exploration in negative obstacle environment. - Numan Keskin; Erkan Uslu; Furkan Cakmak; Nihal Altuntas; Mehmet Fatih Amasyali; Sirma Yavuz 001 (SIU, 2017)

A fast 3D exploration algorithm for autonomous aerial robots. - Salih Marangoz; Ezgi Ekin Ergun; Erkan Uslu; Furkan Cakmak; Nihal Altuntas; Mehmet Fatih Amasyali; Sirma Yavuz 001 (SIU, 2017)

Locally adaptive k parameter selection for nearest neighbor classifier: one nearest cluster. - Faruk Bulut; Mehmet Fatih Amasyali (Pattern Anal. Appl., 2017)

R-SLAM: Resilient localization and mapping in challenging environments. - Muhammet Balcilar; Sirma Yavuz 001; Mehmet Fatih Amasyali; Erkan Uslu; Furkan Cakmak (Robotics Auton. Syst., 2017)

An architecture for multi-robot localization and mapping in the Gazebo/Robot Operating System simulation environment. - Erkan Uslu; Furkan Cakmak; Nihal Altuntas; Salih Marangoz; Mehmet Fatih Amasyali; Sirma Yavuz 001 (Simul., 2017)

A Fully Unsupervised Framework for Scoring Driving Style. - Ozan Firat Özgül; Mehmet Ulas Çakir; Mehmet Tan; Mehmet Fatih Amasyali; Harun Taha Hayvaci (IEEE Conf. on Intelligent Systems, 2018)

The Effects of Corpus Type and Size on the Classification of News. - Fatma Zehra Çetin; Ömer Kurttekin; Mehmet Fatih Amasyali (SIU, 2019)

More scalable solution for multi-robot-multi-target assignment problem. - Salih Marangoz; Mehmet Fatih Amasyali; Erkan Uslu; Furkan Cakmak; Nihal Altuntas; Sirma Yavuz 001 (Robotics Auton. Syst., 2019)

Improved Space Forest: A Meta Ensemble Method. - Mehmet Fatih Amasyali (IEEE Trans. Cybern., 2019)

3D Mapping and Simultaneous Navigation for Multi Micro Aerial Vehicles in Indoor Environments. - Mustafa Burak Dilaver; Furkan Çakmak; Erkan Uslu; Mehmet Fatih Amasyali; Sirma Yavuz 001 (SIU, 2020)

Open Source Software Development Challenges: A Systematic Literature Review on GitHub. - Abdulkadir Seker; Banu Diri; Halil Arslan; Mehmet Fatih Amasyali (Int. J. Open Source Softw. Process., 2020)

Comparison of Turkish Paraphrase Generation Models. - Ahmet Bagci; Mehmet Fatih Amasyali (INISTA, 2021)

Simple But Effective GRU Variants. - Gülsüm Yigit; Mehmet Fatih Amasyali (INISTA, 2021)

When does Synthetic Data Generation Work? - Ahmet Topal; Mehmet Fatih Amasyali (SIU, 2021)

Merging Reinforcement Learning and Inverse Reinforcement Learning via Auxiliary Reward System. - Wadhah Zeyad Tareq; Mehmet Fatih Amasyali (ICAIIC, 2022)

Semantic Similarity Based Filtering for Turkish Paraphrase Dataset Creation. - Besher Alkurdi; Hasan Yunus Sarioglu; Mehmet Fatih Amasyali (ICNLSP, 2022)

A General Purpose Turkish CLIP Model (TrCLIP) for Image&Text Retrieval and its Application to E-Commerce. - Yusuf Ani; Mehmet Fatih Amasyali (INISTA, 2022)

Determining Functional User Comments of Mobile Applications with Semi-Supervised Learning. - Duygu Akbunar; Batuhan Erdogan; Göksel Biricik; Mehmet Fatih Amasyali (SIU, 2022)

Assessing the impact of minor modifications on the interior structure of GRU: GRU1 and GRU2. - Gülsüm Yigit; Mehmet Fatih Amasyali (Concurr. Comput. Pract. Exp., 2022)

Development and Comparison of Scoring Functions in Curriculum Learning. - H. Toprak Kesgin; Mehmet Fatih Amasyali (CoRR, 2022)

Transformers as Neural Augmentors: Class Conditional Sentence Generation via Variational Bayes. - M. Safak Bilici; Mehmet Fatih Amasyali (CoRR, 2022)

Training with growing sets: A comparative study. - Melike Nur Yegin; Ömer Kurttekin; Serkan Kaan Bahsi; Mehmet Fatih Amasyali (Expert Syst. J. Knowl. Eng., 2022)

Exploiting natural language services: a polarity based black-box attack. - Fatma Gumus; Mehmet Fatih Amasyali (Frontiers Comput. Sci., 2022)

Exploring the Benefits of Data Augmentation in Math Word Problem Solving. - Gülsüm Yigit; Mehmet Fatih Amasyali (INISTA, 2023)

Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models. - Himmet Toprak Kesgin; Muzaffer Kaan Yuce; Mehmet Fatih Amasyali (CoRR, 2023)

From Text to Multimodal: A Comprehensive Survey of Adversarial Example Generation in Question Answering Systems. - Gülsüm Yigit; Mehmet Fatih Amasyali (CoRR, 2023)

A comparative analysis of text representation, classification and clustering methods over real project proposals. - Meltem Aksoy; Seda Yanik; Mehmet Fatih Amasyali (Int. J. Intell. Comput. Cybern., 2023)

Reviewer Assignment Problem: A Systematic Review of the Literature. - Meltem Aksoy; Seda Yanik; Mehmet Fatih Amasyali (J. Artif. Intell. Res., 2023)

Enhancing multiple-choice question answering through sequential fine-tuning and Curriculum Learning strategies. - Gülsüm Yigit; Mehmet Fatih Amasyali (Knowl. Inf. Syst., 2023)

Introducing cosmosGPT: Monolingual Training for Turkish Language Models. - H. Toprak Kesgin; Muzaffer Kaan Yuce; Eren Dogan; M. Egemen Uzun; Atahan Uz; H. Emre Seyrek; Ahmed Zeer; Mehmet Fatih Amasyali (INISTA, 2024)

Interpolation Based Distributed Learning. - Mehmet Akdis; Mehmet Fatih Amasyali (SIU, 2024)

Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling. - Himmet Toprak Kesgin; Mehmet Fatih Amasyali (CoRR, 2024)

Investigating Semi-Supervised Learning Algorithms in Text Datasets. - Himmet Toprak Kesgin; Mehmet Fatih Amasyali (CoRR, 2024)

Theoretical research on generative diffusion models: an overview. - Melike Nur Yegin; Mehmet Fatih Amasyali (CoRR, 2024)

T "urk c{c}e Dil Modellerinin Performans Kar c{s}{ i}la c{s}t{ i}rmas{ i} Performance Comparison of Turkish Language Models. - Eren Dogan; M. Egemen Uzun; Atahan Uz; H. Emre Seyrek; Ahmed Zeer; Ezgi Sevi; H. Toprak Kesgin; Muzaffer Kaan Yuce; Mehmet Fatih Amasyali (CoRR, 2024)

LegalTurk Optimized BERT for Multi-Label Text Classification and NER. - Farnaz Zeidi; Mehmet Fatih Amasyali; Çigdem Erol (CoRR, 2024)

Scaling BERT Models for Turkish Automatic Punctuation and Capitalization Correction. - Abdulkader Saoud; Mahmut Alomeyr; Himmet Toprak Kesgin; Mehmet Fatih Amasyali (CoRR, 2024)

Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: Görselle Sohbet Etmek. - Ahmed Zeer; Eren Dogan; Yusuf Sait Erdem; Elif Ince; Osama Shbib; M. Egemen Uzun; Atahan Uz; Muzaffer Kaan Yuce; H. Toprak Kesgin; Mehmet Fatih Amasyali (CoRR, 2024)

Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training. - H. Toprak Kesgin; Muzaffer Kaan Yuce; Eren Dogan; M. Egemen Uzun; Atahan Uz; Elif Ince; Yusuf Erdem; Osama Shbib; Ahmed Zeer; Mehmet Fatih Amasyali (CoRR, 2024)

Generative diffusion models: A survey of current theoretical developments. - Melike Nur Yegin; Mehmet Fatih Amasyali (Neurocomputing, 2024)

Advancing NLP models with strategic text augmentation: A comprehensive study of augmentation methods and curriculum strategies. - Himmet Toprak Kesgin; Mehmet Fatih Amasyali (Nat. Lang. Process. J., 2024)

Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving. - Gülsüm Yigit; Mehmet Fatih Amasyali (SN Comput. Sci., 2024)

A robust optimization method for label noisy datasets based on adaptive threshold: Adaptive-k. - Enes Dedeoglu; Himmet Toprak Kesgin; Mehmet Fatih Amasyali (Frontiers Comput. Sci., 2024)

Cyclical Curriculum Learning. - H. Toprak Kesgin; Mehmet Fatih Amasyali (IEEE Trans. Neural Networks Learn. Syst., 2024)

From text to multimodal: a survey of adversarial example generation in question answering systems. - Gülsüm Yigit; Mehmet Fatih Amasyali (Knowl. Inf. Syst., 2024)

KAFA-Merge: Model Merging Method With Layer-Based Bayes+Linear Search. - Muzaffer Kaan Yuce; Mehmet Fatih Amasyali (IEEE Access, 2025)

A cyclical loss-based optimization algorithm for pretraining LLMs on noisy data. - H. Toprak Kesgin; Mehmet Fatih Amasyali (Knowl. Based Syst., 2025)

Robust Change Captioning in Remote Sensing: SECOND-CC Dataset and MModalCC Framework. - Ali Can Karaca; M. Enes Ozelbas; Saadettin Berber; Orkhan Karimli; Turabi Yildirim; Mehmet Fatih Amasyali (CoRR, 2025)