Michalis Vlachos

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Language Teaching

Top Venues

Publications

Johannes Schneider, Christian Meske, Michalis Vlachos
Deceptive XAI: Typology, Creation and Detection. SN Comput. Sci. 5 (1) (2024)
Hédi Razgallah, Michalis Vlachos, Ahmad Ajalloeian, Ninghao Liu, Johannes Schneider, Alexis Steinmann
Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform. ACM Trans. Inf. Syst. 42 (4) (2024)
Henri Jamet, Yash Raj Shrestha, Michalis Vlachos
Difficulty Estimation and Simplification of French Text Using LLMs. ITS (1) (2024)
Henri Jamet, Yash Raj Shrestha, Michalis Vlachos
Difficulty Estimation and Simplification of French Text Using LLMs. CoRR (2024)
Johannes Schneider, Michalis Vlachos
A Survey of Deep Learning: From Activations to Transformers. ICAART (2) (2024)
Mohammad Aliannejadi, Avi Arampatzis, Guglielmo Faggioli, Nicola Ferro, Anastasia Giachanou, Evangelos Kanoulas, Dan Li, Theodora Tsikrika, Michalis Vlachos, Stefanos Vrochidis
Report on the 14th Conference and Labs of the Evaluation Forum (CLEF 2023): Experimental IR Meets Multilinguality, Multimodality, and Interaction. SIGIR Forum 57 (2) (2023)
Johannes Schneider, Michalis Vlachos
Explaining classifiers by constructing familiar concepts. Mach. Learn. 112 (11) (2023)
Johannes Schneider, Michalis Vlachos
A Survey of Deep Learning: From Activations to Transformers. CoRR (2023)
Michalis Vlachos, Mircea Lungu, Yash Raj Shrestha, Johannes-Rudolf David
Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning. CoRR (2023)
Nikolaos M. Freris, Ahmad Ajalloeian, Michalis Vlachos
Interpretable Embedding and Visualization of Compressed Data. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard
Sparse Attacks for Manipulating Explanations in Deep Neural Network Models. ICDM (2023)
Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard
On Smoothed Explanations: Quality and Robustness. CIKM (2022)
Ahmad Ajalloeian, Michalis Vlachos, Johannes Schneider, Alexis Steinmann
A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay. CIKM (2022)
Johannes Schneider, Christian Meske, Michalis Vlachos
Deceptive AI Explanations: Creation and Detection. ICAART (2) (2022)
Johannes Schneider, Michalis Vlachos
Explaining Neural Networks by Decoding Layer Activations. IDA (2021)
Johannes Schneider, Joshua Handali, Michalis Vlachos, Christian Meske
Deceptive AI Explanations: Creation and Detection. CoRR (2020)
Nikolaos M. Freris, Chuhan Yang, Michalis Vlachos
FIDE: Fast and Interpretable 2D Embedding with correlation, distance, and rank considerations. BigCom (2020)
Johannes Schneider, Michalis Vlachos
Explaining Neural Networks by Decoding Layer Activations. CoRR (2020)
Nikolaos M. Freris, Michalis Vlachos, Ahmad Ajalloeian
An Interpretable Data Embedding under Uncertain Distance Information. ICDM (2020)
Johannes Schneider, Michalis Vlachos
Reflective-Net: Learning from Explanations. CoRR (2020)
Francesco Fusco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, Johannes Schneider
RecoNet: An Interpretable Neural Architecture for Recommender Systems. IJCAI (2019)