Affective feedback: an investigation into the role of emotions in the information seeking process. - Ioannis Arapakis (SIGIR, 2008)

Affective feedback: an investigation into the role of emotions in the information seeking process. - Ioannis Arapakis; Joemon M. Jose; Philip D. Gray (SIGIR, 2008)

Enriching user profiling with affective features for the improvement of a multimodal recommender system. - Ioannis Arapakis; Yashar Moshfeghi; Hideo Joho; Reede Ren; David Hannah; Joemon M. Jose (CIVR, 2009)

Integrating facial expressions into user profiling for the improvement of a multimodal recommender system. - Ioannis Arapakis; Yashar Moshfeghi; Hideo Joho; Reede Ren; David Hannah; Joemon M. Jose (ICME, 2009)

Using facial expressions and peripheral physiological signals as implicit indicators of topical relevance. - Ioannis Arapakis; Ioannis Konstas; Joemon M. Jose (ACM Multimedia, 2009)

Modeling facial expressions and peripheral physiological signals to predict topical relevance. - Ioannis Arapakis; Ioannis Konstas; Joemon M. Jose; Ioannis Kompatsiaris (SIGIR, 2009)

A comparison of general vs personalised affective models for the prediction of topical relevance. - Ioannis Arapakis; Konstantinos Athanasakos; Joemon M. Jose (SIGIR, 2010)

Affect-based information retrieval. - Ioannis Arapakis (2010)

Theories, methods and current research on emotions in library and information science, information retrieval and human-computer interaction. - Irene Lopatovska; Ioannis Arapakis (Inf. Process. Manag., 2011)

Automatically embedding newsworthy links to articles. - Hakan Ceylan; Ioannis Arapakis; Pinar Donmez; Mounia Lalmas (CIKM, 2012)

Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures. - Ioannis Arapakis; Mounia Lalmas; George Valkanas (CIKM, 2014)

Impact of response latency on user behavior in web search. - Ioannis Arapakis; Xiao Bai 002; Berkant Barla Cambazoglu (SIGIR, 2014)

On the Feasibility of Predicting News Popularity at Cold Start. - Ioannis Arapakis; Berkant Barla Cambazoglu; Mounia Lalmas (SocInfo, 2014)

Automatically embedding newsworthy links to articles: From implementation to evaluation. - Ioannis Arapakis; Mounia Lalmas; Hakan Ceylan; Pinar Donmez (J. Assoc. Inf. Sci. Technol., 2014)

User engagement in online News: Under the scope of sentiment, interest, affect, and gaze. - Ioannis Arapakis; Mounia Lalmas; Berkant Barla Cambazoglu; Mari-Carmen Marcos; Joemon M. Jose (J. Assoc. Inf. Sci. Technol., 2014)

Know Your Onions: Understanding the User Experience with the Knowledge Module in Web Search. - Ioannis Arapakis; Luis A. Leiva; Berkant Barla Cambazoglu (CIKM, 2015)

Explanatory opinions: to whom or what is all the fuzz about? - Filipa Peleja; Ioannis Arapakis; João Magalhães (FDIA, 2015)

MULTISENSOR: Development of multimedia content integration technologies for journalism, media monitoring and international exporting decision support. - Stefanos Vrochidis; Ioannis Kompatsiaris; Gerard Casamayor; Ioannis Arapakis; Reinhard Busch; Vladimir Alexiev; Emmanuel Jamin; Michael Jugov; Nicolaus Heise; Teresa Forrellat; Dimitris Liparas; Leo Wanner; et al. (ICME Workshops, 2015)

Effect of Snippets on User Experience in Web Search. - Mari-Carmen Marcos; Ferran Gavin; Ioannis Arapakis (Interacción, 2015)

Unconscious Physiological Effects of Search Latency on Users and Their Click Behaviour. - Miguel Barreda-Ángeles; Ioannis Arapakis; Xiao Bai 002; Berkant Barla Cambazoglu; Alexandre Pereda-Baños (SIGIR, 2015)

Linguistic Benchmarks of Online News Article Quality. - Ioannis Arapakis; Filipa Peleja; Berkant Barla Cambazoglu; João Magalhães (ACL (1), 2016)

The Role of Relevance in Sponsored Search. - Luca Maria Aiello; Ioannis Arapakis; Ricardo Baeza-Yates; Xiao Bai 002; Nicola Barbieri; Amin Mantrach; Fabrizio Silvestri (CIKM, 2016)

The MULTISENSOR Project - Development of Multimedia Content Integration Technologies for Journalism, Media Monitoring and International Exporting Decision Support. - Dimitris Liparas; Stefanos Vrochidis; Ioannis Kompatsiaris; Gerard Casamayor; Leo Wanner; Ioannis Arapakis; David García-Soriano; Reinhard Busch; Boris Vaisman; Boyan Simeonov; Vladimir Alexiev; Andrey Belous; et al. (MMDA@ECAI, 2016)

Predicting User Engagement with Direct Displays Using Mouse Cursor Information. - Ioannis Arapakis; Luis A. Leiva (SIGIR, 2016)

Finding Social Points of Interest from Georeferenced and Oriented Online Photographs. - Bart Thomee; Ioannis Arapakis; David A. Shamma (ACM Trans. Multim. Comput. Commun. Appl., 2016)

On the feasibility of predicting popular news at cold start. - Ioannis Arapakis; Berkant Barla Cambazoglu; Mounia Lalmas (J. Assoc. Inf. Sci. Technol., 2017)

Understanding and Leveraging the Impact of Response Latency on User Behaviour in Web Search. - Xiao Bai 002; Ioannis Arapakis; Berkant Barla Cambazoglu; Ana Freire (ACM Trans. Inf. Syst., 2017)

Typical phone use habits: intense use does not predict negative well-being. - Kleomenis Katevas; Ioannis Arapakis; Martin Pielot (MobileHCI, 2018)

A Simple but Hard-to-Beat Baseline for Session-based Recommendations. - Fajie Yuan; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose; Xiangnan He 001 (CoRR, 2018)

A Multimodal Analytics Platform for Journalists Analyzing Large-Scale, Heterogeneous Multilingual, and Multimedia Content. - Stefanos Vrochidis; Anastasia Moumtzidou; Ilias Gialampoukidis; Dimitris Liparas; Gerard Casamayor; Leo Wanner; Nicolaus Heise; Tilman Wagner; Andriy Bilous; Emmanuel Jamin; Boyan Simeonov; Vladimir Alexiev; et al. (Frontiers Robotics AI, 2018)

Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications. - Ioannis Arapakis; Yolanda Becerra 001; Omer Boehm; George Bravos; Vasilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Julien-Etienne Mascolo; Lidija Fodor; Sotiris Ioannidis; Dusan Jakovetic; et al. (SERVICES, 2019)

A Simple Convolutional Generative Network for Next Item Recommendation. - Fajie Yuan; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose; Xiangnan He 001 (WSDM, 2019)

Interest as a Proxy of Engagement in News Reading: Spectral and Entropy Analyses of EEG Activity Patterns. - Ioannis Arapakis; Miguel Barreda-Ángeles; Alexandre Pereda-Baños (IEEE Trans. Affect. Comput., 2019)

Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements. - Lukas Brückner; Ioannis Arapakis; Luis A. Leiva (CIKM, 2020)

Learning Efficient Representations of Mouse Movements to Predict User Attention. - Ioannis Arapakis; Luis A. Leiva (SIGIR, 2020)

Self-Supervised Reinforcement Learning for Recommender Systems. - Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (SIGIR, 2020)

Graph Highway Networks. - Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (CoRR, 2020)

A Price-per-attention Auction Scheme Using Mouse Cursor Information. - Ioannis Arapakis; Antonio Penta; Hideo Joho; Luis A. Leiva (ACM Trans. Inf. Syst., 2020)

Impact of Response Latency on User Behaviour in Mobile Web Search. - Ioannis Arapakis; Souneil Park; Martin Pielot (CHIIR, 2021)

My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking. - Luis A. Leiva; Ioannis Arapakis; Costas Iordanou (CHIIR, 2021)

When Choice Happens: A Systematic Examination of Mouse Movement Length for Decision Making in Web Search. - Lukas Brückner; Ioannis Arapakis; Luis A. Leiva (SIGIR, 2021)

Graph Convolutional Embeddings for Recommender Systems. - Paula Gómez Duran; Alexandros Karatzoglou; Jordi Vitrià; Xin Xin 003; Ioannis Arapakis (IEEE Access, 2021)

Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. - Dusan Stamenkovic; Alexandros Karatzoglou; Ioannis Arapakis; Xin Xin 003; Kleomenis Katevas (WSDM, 2022)

Supervised Advantage Actor-Critic for Recommender Systems. - Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (WSDM, 2022)

P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups. - Ioannis Arapakis; Panagiotis Papadopoulos; Kleomenis Katevas; Diego Perino (CoRR, 2023)

Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity. - Jie Wang 072; Alexandros Karatzoglou; Ioannis Arapakis; Xin Xin 003; Xuri Ge; Joemon M. Jose (CIKM, 2024)

Empowering Legal Citation Recommendation via Efficient Instruction-Tuning of Pre-trained Language Models. - Jie Wang 072; Kanha Bansal; Ioannis Arapakis; Xuri Ge; Joemon M. Jose (ECIR (1), 2024)

Awareness in Robotics: An Early Perspective from the Viewpoint of the EIC Pathfinder Challenge "Awareness Inside". - Cosimo Della Santina; Carlos Hernández Corbato; Burak Sisman; Luis A. Leiva; Ioannis Arapakis; Michalis Vakalellis; Jean Vanderdonckt; Luis Fernando D'Haro; Guido Manzi; Cristina Becchio; Aïda Elamrani; Mohsen Alirezaei; et al. (ERF (1), 2024)

SKILLAB: Skills Matter. - Mihaela Aluas; Lefteris Angelis; Ioannis Arapakis; Elvira-Maria Arvanitou; Kostantinos Georgiou; Anastasios Gogos; Marco Jahn; Dionysios D. Kehagias; Valia Kordoni; Sebastian Macaluso; Nikolaos Mittas; Vasiliki Moumtzi; et al. (SEAA, 2024)

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. - Junchen Fu; Xuri Ge; Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Jie Wang 072; Joemon M. Jose (SIGIR, 2024)

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling. - Jie Wang 072; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (SIGIR, 2024)

LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge. - Konstantinos Zacharopoulos; Georgios Koutroumpas; Ioannis Arapakis; Konstantinos Georgopoulos; Javad Khangosstar; Sotiris Ioannidis (CoRR, 2024)

Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks. - Oscar Lao; Konstantinos Zacharopoulos; Apostolos P. Fournaris; Rossano Schifanella; Ioannis Arapakis (CoRR, 2024)

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. - Junchen Fu; Xuri Ge; Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Kaiwen Zheng; Yongxin Ni; Joemon M. Jose (CoRR, 2024)

CoEvolution: A Comprehensive Trustworthy Framework For Connected Machine Learning And Secure Interconnected AI Solutions. - Antonios Makris; Apostolos P. Fournaris; Anita Aghaie; Ioannis Arakas; Anna Maria Anaxagorou; Ioannis Arapakis; Davide Bacciu; Battista Biggio; Georgios Bouloukakis; Stavros Bouras; Arne Bröring; Antonio Carta; et al. (CSR, 2025)

A Comparative Study of Scanpath Models in Graph-Based Visualization. - Ángela López-Cardona; Parvin Emami; Sebastian Idesis; Saravanakumar Duraisamy; Luis A. Leiva; Ioannis Arapakis (ETRA, 2025)

Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models. - Ángela López-Cardona; Carlos Segura; Alexandros Karatzoglou; Sergi Abadal; Ioannis Arapakis (ICLR, 2025)

AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search. - Mario Villaizán-Vallelado; Matteo Salvatori; Kayhan Latifzadeh; Antonio Penta; Luis A. Leiva; Ioannis Arapakis (SIGIR, 2025)

Large Language Model driven Policy Exploration for Recommender Systems. - Jie Wang 072; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (WSDM, 2025)

The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. - Junchen Fu; Xuri Ge; Xin Xin 003; Haitao Yu 003; Yue Feng 002; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (WWW (Companion Volume), 2025)

OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM Responses. - Ángela López-Cardona; Sebastian Idesis; Miguel Barreda-Ángeles; Sergi Abadal; Ioannis Arapakis (Proc. ACM Hum. Comput. Interact., 2025)

Diffusion Models for Tabular Data Imputation and Synthetic Data Generation. - Mario Villaizán-Vallelado; Matteo Salvatori; Carlos Segura; Ioannis Arapakis (ACM Trans. Knowl. Discov. Data, 2025)

LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular Micro-video Generation. - Junchen Fu; Xuri Ge; Kaiwen Zheng; Ioannis Arapakis; Xin Xin 003; Joemon M. Jose (CoRR, 2025)

Integrating Cognitive Processing Signals into Language Models: A Review of Advances, Applications and Future Directions. - Ángela López-Cardona; Sebastian Idesis; Ioannis Arapakis (CoRR, 2025)

CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation. - Junchen Fu; Yongxin Ni; Joemon M. Jose; Ioannis Arapakis; Kaiwen Zheng; Youhua Li; Xuri Ge (CoRR, 2025)

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI. - Eva Paraschou; Ioannis Arapakis; Sofia Yfantidou; Sebastian Macaluso; Athena Vakali (CoRR, 2025)

Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories. - Georgios Koutroumpas; Sebastian Idesis; Mireia Masias Bruns; Carlos Segura; Joemon M. Jose; Sergi Abadal; Ioannis Arapakis (CoRR, 2025)

White-Basilisk: A Hybrid Model for Code Vulnerability Detection. - Ioannis Lamprou 002; Alexander Shevtsov; Ioannis Arapakis; Sotiris Ioannidis (CoRR, 2025)

Beyond Accuracy: Decision Transformers for Reward-Driven Multi-Objective Recommendations. - Jie Wang 072; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose; Xuri Ge (IEEE Trans. Knowl. Data Eng., 2025)