Michalis Vlachos

31 papers A* 3A 4B 3Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Conversing with the Past: Immersive Access to Cultural Digital Archives with LLMs and Spatial Interfaces. IUI Companion Michalis Vlachos, Stergios Konstantinidis, Arman Dzhrahatspanian, Min-Yen Kan
2026	B	`conf`	HistoricRAG: Evidence-Centered Newspaper Retrieval for Misinformation-Resilient Question Answering. EDBT Stergios Konstantinidis, Min-Yen Kan, Michalis Vlachos
2025	A	`conf`	Combining Retrieval-Augmented Generation Techniques with Theological Texts for Answering Ethical and Existential Questions. ECAI Denizcan Sarigül, Michalis Vlachos, Nicoleta Acatrinei
2025	—	`conf`	LLM-Generated Description and Reasoning: Use-case for Library Recommendations. JCDL Arash Sal Moslehian, Eya Briki, Michalis Vlachos
2024	—	`conf`	A Survey of Deep Learning: From Activations to Transformers. ICAART (2) Johannes Schneider, Michalis Vlachos
2024	J	`jnl`	Deceptive XAI: Typology, Creation and Detection. SN Comput. Sci. Johannes Schneider, Christian Meske, Michalis Vlachos
2024	—	`conf`	Difficulty Estimation and Simplification of French Text Using LLMs. ITS (1) Henri Jamet, Yash Raj Shrestha, Michalis Vlachos
2024	J	`jnl`	Difficulty Estimation and Simplification of French Text Using LLMs. CoRR Henri Jamet, Yash Raj Shrestha, Michalis Vlachos
2024	A	`conf`	Evaluation and simplification of text difficulty using LLMs in the context of recommending texts in French to facilitate language learning. RecSys Henri Jamet, Maxime Manderlier, Yash Raj Shrestha, Michalis Vlachos
2024	J	`jnl`	Reflective-net: learning from explanations. Data Min. Knowl. Discov. Johannes Schneider, Michalis Vlachos
2024	J	`jnl`	Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform. ACM Trans. Inf. Syst. Hédi Razgallah, Michalis Vlachos, Ahmad Ajalloeian, Ninghao Liu, Johannes Schneider, Alexis Steinmann
2023	J	`jnl`	A Survey of Deep Learning: From Activations to Transformers. CoRR Johannes Schneider, Michalis Vlachos
2023	—	`ed.`	Experimental IR Meets Multilinguality, Multimodality, and Interaction - 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18-21, 2023, Proceedings CLEF Avi Arampatzis, Evangelos Kanoulas, Theodora Tsikrika, Stefanos Vrochidis, Anastasia Giachanou, Dan Li, Mohammad Aliannejadi, Michalis Vlachos, Guglielmo Faggioli, Nicola Ferro
2023	J	`jnl`	Explaining classifiers by constructing familiar concepts. Mach. Learn. Johannes Schneider, Michalis Vlachos
2023	J	`jnl`	Interpretable Embedding and Visualization of Compressed Data. ACM Trans. Knowl. Discov. Data Nikolaos M. Freris, Ahmad Ajalloeian, Michalis Vlachos
2023	J	`jnl`	Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning. CoRR Michalis Vlachos, Mircea Lungu, Yash Raj Shrestha, Johannes-Rudolf David
2023	J	`jnl`	Report on the 14th Conference and Labs of the Evaluation Forum (CLEF 2023): Experimental IR Meets Multilinguality, Multimodality, and Interaction. SIGIR Forum Mohammad Aliannejadi, Avi Arampatzis, Guglielmo Faggioli, Nicola Ferro, Anastasia Giachanou, Evangelos Kanoulas, Dan Li, Theodora Tsikrika, Michalis Vlachos, Stefanos Vrochidis
2023	A*	`conf`	Sparse Attacks for Manipulating Explanations in Deep Neural Network Models. ICDM Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard
2023	J	`jnl`	Towards LLM-based Autograding for Short Textual Answers. CoRR Johannes Schneider, Bernd Schenk, Christina Niklaus, Michalis Vlachos
2023	—	`ed.`	Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023. CLEF (Working Notes) Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, Michalis Vlachos
2022	A	`conf`	A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay. CIKM Ahmad Ajalloeian, Michalis Vlachos, Johannes Schneider, Alexis Steinmann
2022	—	`conf`	Deceptive AI Explanations: Creation and Detection. ICAART (2) Johannes Schneider, Christian Meske, Michalis Vlachos
2022	A	`conf`	On Smoothed Explanations: Quality and Robustness. CIKM Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard
2021	B	`conf`	Explaining Neural Networks by Decoding Layer Activations. IDA Johannes Schneider, Michalis Vlachos
2020	B	`ed.`	7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020 DSAA Geoffrey I. Webb, Zhongfei Zhang, Vincent S. Tseng, Graham Williams, Michalis Vlachos, Longbing Cao
2020	A*	`conf`	An Interpretable Data Embedding under Uncertain Distance Information. ICDM Nikolaos M. Freris, Michalis Vlachos, Ahmad Ajalloeian
2020	J	`jnl`	Deceptive AI Explanations: Creation and Detection. CoRR Johannes Schneider, Joshua Handali, Michalis Vlachos, Christian Meske
2020	J	`jnl`	Explaining Neural Networks by Decoding Layer Activations. CoRR Johannes Schneider, Michalis Vlachos
2020	—	`conf`	FIDE: Fast and Interpretable 2D Embedding with correlation, distance, and rank considerations. BigCom Nikolaos M. Freris, Chuhan Yang, Michalis Vlachos
2020	J	`jnl`	Reflective-Net: Learning from Explanations. CoRR Johannes Schneider, Michalis Vlachos
2019	A*	`conf`	RecoNet: An Interpretable Neural Architecture for Recommender Systems. IJCAI Francesco Fusco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, Johannes Schneider