4 citations · 9 across the 10 of their papers we have counts for
10 papers
Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition
Ayhan Kucukmanisa, Derya Gelmez, Sukru Selim Calik +1
Recent advances in multimodal deep learning have greatly enhanced the capability of systems for speech analysis and pronunciation assessment. Accurate pronunciation detection remai…
Explainable-AI powered stock price prediction using time series transformers: A Case Study on BIST100
Sukru Selim Calik, Andac Akyuz, Zeynep Hilal Kilimci +1
Financial literacy is increasingly dependent on the ability to interpret complex financial data and utilize advanced forecasting tools. In this context, this study proposes a novel…
Migrating Birds Optimization-Based Feature Selection for Text Classification
Cem Kaya, Zeynep Hilal Kilimci, Mitat Uysal +1
This research introduces a novel approach, MBO-NB, that leverages Migrating Birds Optimization (MBO) coupled with Naive Bayes as an internal classifier to address feature selection…
ACP-ESM: A novel framework for classification of anticancer peptides using protein-oriented transformer approach
Zeynep Hilal Kilimci, Mustafa Yalcin
Anticancer peptides (ACPs) are a class of molecules that have gained significant attention in the field of cancer research and therapy. ACPs are short chains of amino acids, the bu…
A novel transformer-based approach for soil temperature prediction
Muhammet Mucahit Enes Yurtsever, Ayhan Kucukmanisa, Zeynep Hilal Kilimci
Soil temperature is one of the most significant parameters that plays a crucial role in glacier energy, dynamics of mass balance, processes of surface hydrological, coaction of gla…
Heart Disease Detection using Vision-Based Transformer Models from ECG Images
Zeynep Hilal Kilimci, Mustafa Yalcin, Ayhan Kucukmanisa +1
Heart disease, also known as cardiovascular disease, is a prevalent and critical medical condition characterized by the impairment of the heart and blood vessels, leading to variou…
An Efficient Consolidation of Word Embedding and Deep Learning Techniques for Classifying Anticancer Peptides: FastText+BiLSTM
Onur Karakaya, Zeynep Hilal Kilimci
Anticancer peptides (ACPs) are a group of peptides that exhibite antineoplastic properties. The utilization of ACPs in cancer prevention can present a viable substitute for convent…
Evaluating raw waveforms with deep learning frameworks for speech emotion recognition
Zeynep Hilal Kilimci, Ulku Bayraktar, Ayhan Kucukmanisa
Speech emotion recognition is a challenging task in speech processing field. For this reason, feature extraction process has a crucial importance to demonstrate and process the spe…
An ensemble-based framework for mispronunciation detection of Arabic phonemes
Sukru Selim Calik, Ayhan Kucukmanisa, Zeynep Hilal Kilimci
Determination of mispronunciations and ensuring feedback to users are maintained by computer-assisted language learning (CALL) systems. In this work, we introduce an ensemble model…
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments
Anil Berk Altuner, Zeynep Hilal Kilimci
Stock market prediction has been an important topic for investors, researchers, and analysts. Because it is affected by too many factors, stock market prediction is a difficult tas…