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Tsegaye Misikir Tashu
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2020 – today
- 2024
- [c15]Vrushali Mahajan, Ermiyas Birihanu, Tsegaye Misikir Tashu:
A Dynamic Session-Based Recommender System with Graph Neural Networks. ITAT 2024: 31-36 - [i5]Tsegaye Misikir Tashu, Eduard-Raul Kontos, Matthia Sabatelli, Matias Valdenegro-Toro:
Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation. CoRR abs/2401.06583 (2024) - [i4]Haddad Philip, Tsegaye Misikir Tashu:
Phrase-Level Adversarial Training for Mitigating Bias in Neural Network-based Automatic Essay Scoring. CoRR abs/2409.04795 (2024) - 2023
- [j3]Tsegaye Misikir Tashu, Marc Lenz, Tomás Horváth:
NCC: Neural concept compression for multilingual document recommendation. Appl. Soft Comput. 142: 110348 (2023) - [c14]Ekin Fergan, Tsegaye Misikir Tashu:
Course Review Sentiment Analysis: A Comparative Study Of Machine Learning and Deep Learning Methods. BESC 2023: 1-7 - [c13]Arzu Tosayeva, Ermiyas Birihanu, Tsegaye Misikir Tashu:
Pattern Recognition and Context Prediction of COVID-19 cases in European Countries. ITAT 2023: 50-57 - 2022
- [c12]Tsegaye Misikir Tashu, Tomás Horváth:
Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring. IDEAL 2022: 12-21 - [i3]Tsegaye Misikir Tashu, Chandresh Kumar Maurya, Tomás Horváth:
Deep Learning Architecture for Automatic Essay Scoring. CoRR abs/2206.08232 (2022) - [i2]Tsegaye Misikir Tashu, Sara Fattouh, Péter Kiss, Tomás Horváth:
Multimodal E-Commerce Product Classification Using Hierarchical Fusion. CoRR abs/2207.03305 (2022) - [i1]Sofiane Ouaari, Tsegaye Misikir Tashu, Tomás Horváth:
Multimodal Feature Extraction for Memes Sentiment Classification. CoRR abs/2207.03317 (2022) - 2021
- [b1]Tsegaye Misikir Tashu:
Semantic-based Automatic Short Essay Evaluation and Recommendation System. Eötvös Loránd University, Hungary, 2021 - [j2]Tsegaye Misikir Tashu, Sakina Hajiyeva, Tomás Horváth:
Multimodal Emotion Recognition from Art Using Sequential Co-Attention. J. Imaging 7(8): 157 (2021) - [c11]Vilmos Tibor Salamon, Tsegaye Misikir Tashu, Tomás Horváth:
Linear Concept Approximation for Multilingual Document Recommendation. IDEAL 2021: 147-156 - [c10]Marc Lenz, Tsegaye Misikir Tashu, Tomás Horváth:
Learning Inter-Lingual Document Representations via Concept Compression. IDEAL 2021: 268-276 - 2020
- [c9]Tsegaye Misikir Tashu, Tomás Horváth:
Attention-Based Multi-modal Emotion Recognition from Art. ICPR Workshops (3) 2020: 604-612 - [c8]Ekaterina Zolotareva, Tsegaye Misikir Tashu, Tomás Horváth:
Abstractive Text Summarization using Transfer Learning. ITAT 2020: 75-80 - [c7]Tsegaye Misikir Tashu, Tomás Horváth:
SmartScore-Short Answer Scoring Made Easy Using Sem-LSH. ICSC 2020: 145-149 - [c6]Tsegaye Misikir Tashu:
Off-Topic Essay Detection Using C-BGRU Siamese. ICSC 2020: 221-225
2010 – 2019
- 2019
- [j1]Ladislav Peska, Tsegaye Misikir Tashu, Tomás Horváth:
Swarm intelligence techniques in recommender systems - A review of recent research. Swarm Evol. Comput. 48: 201-219 (2019) - [c5]Tsegaye Misikir Tashu, Tomás Horváth:
Semantic-Based Feedback Recommendation for Automatic Essay Evaluation. IntelliSys (2) 2019: 334-346 - [c4]Tsegaye Misikir Tashu, Julius P. Esclamado, Tomás Horváth:
Intelligent On-line Exam Management and Evaluation System. ITS 2019: 105-111 - [c3]Tsegaye Misikir Tashu, Dávid Szabó, Tomás Horváth:
Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing. ITS 2019: 186-192 - 2018
- [c2]Tsegaye Misikir Tashu, Tomás Horváth:
Pair-Wise: Automatic Essay Evaluation using Word Mover's Distance. CSEDU (1) 2018: 59-66 - [c1]Tsegaye Misikir Tashu, Tomás Horváth:
A Layered Approach to Automatic Essay Evaluation Using Word-Embedding. CSEDU (Selected Papers) 2018: 77-94
Coauthor Index
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last updated on 2025-01-09 13:22 CET by the dblp team
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