Tribal taste: mobile multiagent recommender system. - Magnus Jändel; Mehdi Elahi (IUI, 2009)

Context-aware intelligent recommender system. - Mehdi Elahi (IUI, 2010)

Rating Elicitation Strategies for Collaborative Filtering. - Mehdi Elahi; Valdemaras Repsys; Francesco Ricci 001 (EC-Web, 2011)

Adaptive Active Learning in Recommender Systems. - Mehdi Elahi (UMAP, 2011)

Adapting to Natural Rating Acquisition with Combined Active Learning Strategies. - Mehdi Elahi; Francesco Ricci 001; Neil Rubens (ISMIS, 2012)

STS: Design of Weather-Aware Mobile Recommender Systems in Tourism. - Matthias Braunhofer; Mehdi Elahi; Mouzhi Ge; Francesco Ricci 001; Thomas Schievenin (AI*HCI@AI*IA, 2013)

Personality-Based Active Learning for Collaborative Filtering Recommender Systems. - Mehdi Elahi; Matthias Braunhofer; Francesco Ricci 001; Marko Tkalcic (AI*IA, 2013)

Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective. - Mehdi Elahi; Francesco Ricci 001; Neil Rubens (ACM Trans. Intell. Syst. Technol., 2013)

Usability Assessment of a Context-Aware and Personality-Based Mobile Recommender System. - Matthias Braunhofer; Mehdi Elahi; Francesco Ricci 001 (EC-Web, 2014)

Active Learning in Collaborative Filtering Recommender Systems. - Mehdi Elahi; Francesco Ricci 001; Neil Rubens (EC-Web, 2014)

Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management. - Matthias Braunhofer; Mehdi Elahi; Francesco Ricci 001; Thomas Schievenin (ENTER, 2014)

Context Dependent Preference Acquisition with Personality-Based Active Learning in Mobile Recommender Systems. - Matthias Braunhofer; Mehdi Elahi; Mouzhi Ge; Francesco Ricci 001 (HCI (15), 2014)

Interactive Food Recommendation for Groups. - Mehdi Elahi; Mouzhi Ge; Francesco Ricci 001; David Massimo; Shlomo Berkovsky (RecSys Posters, 2014)

STS: A Context-Aware Mobile Recommender System for Places of Interest. - Matthias Braunhofer; Mehdi Elahi; Francesco Ricci 001 (UMAP Workshops, 2014)

Techniques for cold-starting context-aware mobile recommender systems for tourism. - Matthias Braunhofer; Mehdi Elahi; Francesco Ricci 001 (Intelligenza Artificiale, 2014)

Interaction Design Patterns in Recommender Systems. - Paolo Cremonesi; Mehdi Elahi; Franca Garzotto (CHItaly, 2015)

Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi; Franca Garzotto (CHItaly, 2015)

Investigating the Decision Making Process of Users based on the PoliMovie Dataset. - Mona Naseri; Mehdi Elahi; Paolo Cremonesi (DMRS, 2015)

Toward Building a Content-Based Video Recommendation System Based on Low-Level Features. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi (EC-Web, 2015)

Using Tags and Latent Factors in a Food Recommender System. - Mouzhi Ge; Mehdi Elahi; Ignacio Fernández-Tobías; Francesco Ricci 001; David Massimo (Digital Health, 2015)

User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System. - Matthias Braunhofer; Mehdi Elahi; Francesco Ricci 001 (ENTER, 2015)

Interaction Design in a Mobile Food Recommender System. - Mehdi Elahi; Mouzhi Ge; Francesco Ricci 001; Ignacio Fernández-Tobías; Shlomo Berkovsky; David Massimo (IntRS@RecSys, 2015)

Active Learning in Recommender Systems. - Neil Rubens; Mehdi Elahi; Masashi Sugiyama; Dain Kaplan (Recommender Systems Handbook, 2015)

Recommending Movies Based on Mise-en-Scene Design. - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Franca Garzotto; Pietro Piazzolla (CHI Extended Abstracts, 2016)

How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Farshad Bakhshandegan Moghaddam; Andrea Luigi Edoardo Caielli (EC-Web, 2016)

Using Visual Features and Latent Factors for Movie Recommendation. - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi (CBRecSys@RecSys, 2016)

A survey of active learning in collaborative filtering recommender systems. - Mehdi Elahi; Francesco Ricci 001; Neil Rubens (Comput. Sci. Rev., 2016)

Content-Based Video Recommendation System Based on Stylistic Visual Features. - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Franca Garzotto; Pietro Piazzolla; Massimo Quadrana (J. Data Semant., 2016)

Alleviating the new user problem in collaborative filtering by exploiting personality information. - Ignacio Fernández-Tobías; Matthias Braunhofer; Mehdi Elahi; Francesco Ricci 001; Iván Cantador (User Model. User Adapt. Interact., 2016)

RecSys Challenge 2017: Offline and Online Evaluation. - Fabian Abel; Yashar Deldjoo; Mehdi Elahi; Daniel Kohlsdorf (RecSys, 2017)

Exploring the Semantic Gap for Movie Recommendations. - Mehdi Elahi; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Leonardo Cella; Stefano Cereda; Paolo Cremonesi (RecSys, 2017)

A Research Tool for User Preferences Elicitation with Facial Expressions. - Marko Tkalcic; Nima Maleki; Matevz Pesek; Mehdi Elahi; Francesco Ricci 001; Matija Marolt (RecSys, 2017)

Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System. - David Massimo; Mehdi Elahi; Mouzhi Ge; Francesco Ricci 001 (UMAP, 2017)

Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space. - David Massimo; Mehdi Elahi; Francesco Ricci 001 (UMAP (Adjunct Publication), 2017)

User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity. - Hanna Schäfer; Mehdi Elahi; David Elsweiler; Georg Groh; Morgan Harvey; Bernd Ludwig; Francesco Ricci 001; Alan Said (UMAP (Adjunct Publication), 2017)

Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation. - Yashar Deldjoo; Massimo Quadrana; Mehdi Elahi; Paolo Cremonesi (CoRR, 2017)

Toward Active Learning in Cross-domain Recommender Systems. - Roberto Pagano; Massimo Quadrana; Mehdi Elahi; Paolo Cremonesi (CoRR, 2017)

User interface patterns in recommendation-empowered content intensive multimedia applications. - Paolo Cremonesi; Mehdi Elahi; Franca Garzotto (Multim. Tools Appl., 2017)

User Preference Elicitation, Rating Sparsity and Cold Start. - Mehdi Elahi; Matthias Braunhofer; Tural Gurbanov; Francesco Ricci 001 (Collaborative Recommendations, 2018)

Tangible Tourism with the Internet of Things. - Dario Cavada; Mehdi Elahi; David Massimo; Stefano Maule; Elena Not; Francesco Ricci 001; Adriano Venturini (ENTER, 2018)

It Takes Two, Baby: Style and Tangibles for Recommending and Interacting with Videos. - Mehdi Elahi; Rosella Gennari; Alessandra Melonio; Francesco Ricci 001 (IIR, 2018)

Social Network based Short-Term Stock Trading System. - Paolo Cremonesi; Chiara Francalanci; Alessandro Poli; Roberto Pagano; Luca Mazzoni; Alberto Maggioni; Mehdi Elahi (CoRR, 2018)

Using visual features based on MPEG-7 and deep learning for movie recommendation. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi (Int. J. Multim. Inf. Retr., 2018)

Current challenges and visions in music recommender systems research. - Markus Schedl; Hamed Zamani; Ching-Wei Chen; Yashar Deldjoo; Mehdi Elahi (Int. J. Multim. Inf. Retr., 2018)

Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content. - Yashar Deldjoo; Markus Schedl; Mehdi Elahi (CBMI, 2019)

Prediction of music pairwise preferences from facial expressions. - Marko Tkalcic; Nima Maleki; Matevz Pesek; Mehdi Elahi; Francesco Ricci 001; Matija Marolt (IUI, 2019)

Your hardware is all wired up!: attacking network-on-chips via crosstalk channel. - Ahmad Patooghy; Maral Filvan Torkaman; Mehdi Elahi (NoCArc@MICRO, 2019)

Analysing Recommender Systems Impact on Users' Choices. - Naieme Hazrati; Mehdi Elahi; Francesco Ricci 001 (ImpactRS@RecSys, 2019)

Benchmarking The Imbalanced Behavior of Deep Learning Based Optical Flow Estimators. - Stefano Savian; Mehdi Elahi; Tammam Tillo (SITIS, 2019)

Predicting Movie Popularity and Ratings with Visual Features. - Farshad Bakhshandegan Moghaddam; Mehdi Elahi; Reza Hosseini; Christoph Trattner; Marko Tkalcic (SMAP, 2019)

Exploring the Power of Visual Features for the Recommendation of Movies. - Mohammad Hossein Rimaz; Mehdi Elahi; Farshad Bakhshandegan Moghaddam; Christoph Trattner; Reza Hosseini; Marko Tkalcic (UMAP, 2019)

Optical Flow Estimation with Deep Learning, a Survey on Recent Advances. - Stefano Savian; Mehdi Elahi; Tammam Tillo (Deep Biometrics, 2020)

Visually-Aware Video Recommendation in the Cold Start. - Mehdi Elahi; Reza Hosseini; Mohammad Hossein Rimaz; Farshad Bakhshandegan Moghaddam; Christoph Trattner (HT, 2020)

Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices. - Naieme Hazrati; Mehdi Elahi; Francesco Ricci 001 (HT, 2020)

AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem. - Mohammad Hossein Rimaz; Reza Hosseini; Mehdi Elahi; Farshad Bakhshandegan Moghaddam (ICSOC Workshops, 2020)

Exploring Personalized University Ranking and Recommendation. - Mehdi Elahi; Nabil El Ioini; Anna Alexander Lambrix; Mouzhi Ge (UMAP (Adjunct Publication), 2020)

Towards Generating Personalized Country Recommendation. - Ayoub El Majjodi; Mehdi Elahi; Nabil El Ioini; Christoph Trattner (UMAP (Adjunct Publication), 2020)

Hybrid Recommendation of Movies Based on Deep Content Features. - Tord Kvifte; Mehdi Elahi; Christoph Trattner (ICSOC Workshops, 2021)

News Images in MediaEval 2021. - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek; Mehdi Elahi; Duc-Tien Dang-Nguyen (MediaEval, 2021)

MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems. - Himan Abdollahpouri; Mehdi Elahi; Masoud Mansoury; Shaghayegh Sahebi; Zahra Nazari; Allison Chaney; Babak Loni (MORS@RecSys, 2021)

Beyond Algorithmic Fairness in Recommender Systems. - Mehdi Elahi; Himan Abdollahpouri; Masoud Mansoury; Helma Torkamaan (UMAP (Adjunct Publication), 2021)

Recommending Videos in Cold Start With Automatic Visual Tags. - Mehdi Elahi; Farshad Bakhshandegan Moghaddam; Reza Hosseini; Mohammad Hossein Rimaz; Nabil El Ioini; Marko Tkalcic; Christoph Trattner; Tammam Tillo (UMAP (Adjunct Publication), 2021)

Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. - Naieme Hazrati; Mehdi Elahi (Expert Syst. J. Knowl. Eng., 2021)

Developing and Evaluating a University Recommender System. - Mehdi Elahi; Alain Starke; Nabil El Ioini; Anna Alexander Lambrix; Christoph Trattner (Frontiers Artif. Intell., 2021)

Investigating the impact of recommender systems on user-based and item-based popularity bias. - Mehdi Elahi; Danial Khosh Kholgh; Mohammad Sina Kiarostami; Sorush Saghari; Shiva Parsa Rad; Marko Tkalcic (Inf. Process. Manag., 2021)

From Trustworthy Data to Trustworthy IoT: A Data Collection Methodology Based on Blockchain. - Claudio A. Ardagna; Rasool Asal; Ernesto Damiani; Nabil El Ioini; Mehdi Elahi; Claus Pahl (ACM Trans. Cyber Phys. Syst., 2021)

Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. - Anastasiia Klimashevskaia; Mehdi Elahi; Dietmar Jannach; Christoph Trattner; Lars Skjærven (BIAS, 2022)

Capacity-Based Trust System in Untrusted MEC Environments. - Van Thanh Le; Nabil El Ioini; Claus Pahl; Mehdi Elahi (IOTSMS, 2022)

News Images in MediaEval 2022. - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek; Mehdi Elahi; Duc-Tien Dang-Nguyen (MediaEval, 2022)

MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. - Himan Abdollahpouri; Shaghayegh Sahebi; Mehdi Elahi; Masoud Mansoury; Babak Loni; Zahra Nazari; Maria Dimakopoulou (RecSys, 2022)

Towards responsible media recommendation. - Mehdi Elahi; Dietmar Jannach; Lars Skjærven; Erik Knudsen; Helle Sjøvaag; Kristian Tolonen; Øyvind Holmstad; Igor Pipkin; Eivind Throndsen; Agnes Stenbom; Eivind Fiskerud; Adrian Oesch; et al. (AI Ethics, 2022)

Responsible media technology and AI: challenges and research directions. - Christoph Trattner; Dietmar Jannach; Enrico Motta; Irene Costera Meijer; Nicholas Diakopoulos; Mehdi Elahi; Andreas L. Opdahl; Bjørnar Tessem; Njål Borch; Morten Fjeld; Lilja Øvrelid; Koenraad De Smedt; et al. (AI Ethics, 2022)

A Convolutional Attention Network for Unifying General and Sequential Recommenders. - Shahpar Yakhchi; Amin Beheshti; Seyed Mohssen Ghafari; Imran Razzak; Mehmet A. Orgun; Mehdi Elahi (Inf. Process. Manag., 2022)

The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System. - Ayoub El Majjodi; Alain D. Starke; Mehdi Elahi; Christoph Trattner (IntRS@RecSys, 2023)

The Relation between Texts and Images in News: News Images in MediaEval 2023. - Andreas Lommatzsch; Benjamin Kille; Özlem Özgöbek; Mehdi Elahi; Duc-Tien Dang-Nguyen (MediaEval, 2023)

Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. - Anastasiia Klimashevskaia; Mehdi Elahi; Dietmar Jannach; Lars Skjærven; Astrid Tessem; Christoph Trattner (RecSys, 2023)

Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models. - Anastasiia Klimashevskaia; Mehdi Elahi; Christoph Trattner (UMAP (Adjunct Publication), 2023)

Addressing Benign and Malicious Crosstalk in Modern System-on-Chips. - Ahmad Patooghy; Mehdi Elahi; Maral Filvan Torkaman; Sara Sezavar Dokhtfaroughi; Ramin Rajaei (IEEE Access, 2023)

Benchmarking equivariance for Deep Learning based optical flow estimators. - Stefano Savian; Mehdi Elahi; Andrea Janes; Tammam Tillo (Signal Process. Image Commun., 2023)

Hybrid recommendation by incorporating the sentiment of product reviews. - Mehdi Elahi; Danial Khosh Kholgh; Mohammad Sina Kiarostami; Mourad Oussalah 002; Sorush Saghari (Inf. Sci., 2023)

Fine-Grained Clustering-Based Power Identification for Multicores. - Mohamed R. Elshamy; Mehdi Elahi; Ahmad Patooghy; Abdel-Hameed A. Badawy (IGSC, 2024)

Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems. - Ayoub El Majjodi; Sohail Ahmed Khan; Alain D. Starke; Mehdi Elahi; Christoph Trattner (HealthRecSys@RecSys, 2024)

Empowering Editors: How Automated Recommendations Support Editorial Article Curation. - Anastasiia Klimashevskaia; Mehdi Elahi; Dietmar Jannach; Christoph Trattner (INRA@RecSys, 2024)

A Supervised Machine Learning Approach for Supporting Editorial Article Selection. - Bilal Mahmood; Mehdi Elahi; Farhad Vadiee; Samia Touileb; Lubos Steskal (INRA@RecSys, 2024)

Cluster-BPI: Efficient Fine-Grain Blind Power Identification for Defending against Hardware Thermal Trojans in Multicore SoCs. - Mohamed R. Elshamy; Mehdi Elahi; Ahmad Patooghy; Abdel-Hameed A. Badawy (IPCCC, 2024)

Advancing IoT Security Through Run-time Monitoring & Post-Execution Verification. - Mahsa Dehghani; Mehdi Elahi; Mahdi Fazeli; Ahmad Patooghy (ISVLSI, 2024)

Incorporating Editorial Feedback in the Evaluation of News Recommender Systems. - Bilal Mahmood; Mehdi Elahi; Samia Touileb; Lubos Steskal; Christoph Trattner (UMAP (Adjunct Publication), 2024)

The trade-off between data minimization and fairness in collaborative filtering. - Nasim Sonboli; Sipei Li; Mehdi Elahi; Asia Biega (CoRR, 2024)

Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. - Elham Motamedi; Danial Khosh Kholgh; Sorush Saghari; Mehdi Elahi; Francesco Barile; Marko Tkalcic (Inf. Process. Manag., 2024)

Parallel Fractional Stochastic Gradient Descent With Adaptive Learning for Recommender Systems. - Fatemeh Elahi; Mahmood Fazlali; Hadi Tabatabaee Malazi; Mehdi Elahi (IEEE Trans. Parallel Distributed Syst., 2024)

A survey on popularity bias in recommender systems. - Anastasiia Klimashevskaia; Dietmar Jannach; Mehdi Elahi; Christoph Trattner (User Model. User Adapt. Interact., 2024)

Matter: Multi-Stage Adaptive Thermal Trojan for Efficiency & Resilience Degradation. - Mehdi Elahi; Mohamed R. Elshamy; Abdel-Hameed A. Badawy; Mahdi Fazeli; Ahmad Patooghy (ISQED, 2025)

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs. - Mohamed R. Elshamy; Mehdi Elahi; Ahmad Patooghy; Abdel-Hameed A. Badawy (CoRR, 2025)

iThermTroj: Exploiting Intermittent Thermal Trojans in Multi-Processor System-on-Chips. - Mehdi Elahi; Mohamed R. Elshamy; Abdel-Hameed A. Badawy; Ahmad Patooghy (CoRR, 2025)