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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Can computers think?
Published:
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Sentiment Analysis Using Learning Approaches Over Emojis for Turkish Tweets
Published in IEEE Xplore, 2018
sentiment analysis, classification, fastText
Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge
Published in arXiv, 2020
multimodal learning, vision-and-language, meme classification
Detecting Hate Speech In Multimodal Memes Using Vision-Language Models
Published in rizavelioglu.github.io/publications/, 2021
multimodal learning, vision-and-language, meme classification, master thesis
The hateful memes challenge: competition report
Published in NeurIPS 2020 Competition and Demonstration Track, 2021
multimodal, vision and language, hate speech
Evaluating robustness of counterfactual explanations
Published in IEEE Symposium Series on Computational Intelligence (SSCI), 2021
XAI, Contrasting Explanations, Counterfactual Explanations, Fairness
A comparative study of neural machine translation models for Turkish language
Published in Journal of Intelligent & Fuzzy Systems, 2022
Neural machine translation, sequence to sequence, transformer
A Graph-based U-Net Model for Predicting Traffic in unseen Cities
Published in IJCNN Proceedings, 2022
traffic prediction, U-net, GNN
Traffic4cast at NeurIPS 2021-Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
Published in NeurIPS 2021 Competitions and Demonstrations Track, 2022
traffic prediction, GNN
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
teaching
TA–Intro to Machine Learning
(Under)graduate course, University Bielefeld, Technical Faculty, 2019
Tutor of the course Introduction to Machine Learning given by Prof.Dr.Barbara Hammer
TA–Intro to Computer Algorithms
(Under)graduate course, University Bielefeld, Technical Faculty, 2020
Tutor of the course Introduction to Computer Algorithms given by Prof.Dr.Barbara Hammer
TA–Intro to Neural Networks
(Under)graduate course, University Bielefeld, Technical Faculty, 2020
Tutor of the course Introduction to Neural Networks given by Dr.Robert Haschke & Dr.Malte Schilling
TA–Intro to Machine Learning
(Under)graduate course, University Bielefeld, Technical Faculty, 2020
Tutor of the course Introduction to Machine Learning given by Dr.Alexander Schulz