Mehdi Elahi - RankMe

105 papers A 12C 7Journal 33Unranked 48

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs. IPCCC Mohamed R. Elshamy, Mehdi Elahi, Ahmad Patooghy, Abdel-Hameed A. Badawy
2025	J	`jnl`	CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs. CoRR Mohamed R. Elshamy, Mehdi Elahi, Ahmad Patooghy, Abdel-Hameed A. Badawy
2025	—	`conf`	Matter: Multi-Stage Adaptive Thermal Trojan for Efficiency & Resilience Degradation. ISQED Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed A. Badawy, Mahdi Fazeli, Ahmad Patooghy
2025	—	`conf`	On the Thermal Vulnerability of 3D-Stacked High-Bandwidth Memory Architectures. MEMSYS Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed A. Badawy, Ahmad Patooghy
2025	J	`jnl`	On the Thermal Vulnerability of 3D-Stacked High-Bandwidth Memory Architectures. CoRR Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed A. Badawy, Ahmad Patooghy
2025	J	`jnl`	iThermTroj: Exploiting Intermittent Thermal Trojans in Multi-Processor System-on-Chips. CoRR Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed A. Badawy, Ahmad Patooghy
2024	—	`conf`	A Supervised Machine Learning Approach for Supporting Editorial Article Selection. INRA@RecSys Bilal Mahmood, Mehdi Elahi, Farhad Vadiee, Samia Touileb, Lubos Steskal
2024	J	`jnl`	A survey on popularity bias in recommender systems. User Model. User Adapt. Interact. Anastasiia Klimashevskaia, Dietmar Jannach, Mehdi Elahi, Christoph Trattner
2024	—	`conf`	Advancing IoT Security Through Run-time Monitoring & Post-Execution Verification. ISVLSI Mahsa Dehghani, Mehdi Elahi, Mahdi Fazeli, Ahmad Patooghy
2024	—	`conf`	Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems. HealthRecSys@RecSys Ayoub El Majjodi, Sohail Ahmed Khan, Alain D. Starke, Mehdi Elahi, Christoph Trattner
2024	C	`conf`	Cluster-BPI: Efficient Fine-Grain Blind Power Identification for Defending against Hardware Thermal Trojans in Multicore SoCs. IPCCC Mohamed R. Elshamy, Mehdi Elahi, Ahmad Patooghy, Abdel-Hameed A. Badawy
2024	J	`jnl`	Cluster-BPI: Efficient Fine-Grain Blind Power Identification for Defending against Hardware Thermal Trojans in Multicore SoCs. CoRR Mohamed R. Elshamy, Mehdi Elahi, Ahmad Patooghy, Abdel-Hameed A. Badawy
2024	—	`conf`	Empowering Editors: How Automated Recommendations Support Editorial Article Curation. INRA@RecSys Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner
2024	—	`conf`	Fine-Grained Clustering-Based Power Identification for Multicores. IGSC Mohamed R. Elshamy, Mehdi Elahi, Ahmad Patooghy, Abdel-Hameed A. Badawy
2024	J	`jnl`	Fine-Grained Clustering-Based Power Identification for Multicores. CoRR Mohamed R. Elshamy, Mehdi Elahi, Ahmad Patooghy, Abdel-Hameed A. Badawy
2024	—	`conf`	Incorporating Editorial Feedback in the Evaluation of News Recommender Systems. UMAP (Adjunct Publication) Bilal Mahmood, Mehdi Elahi, Samia Touileb, Lubos Steskal, Christoph Trattner
2024	J	`jnl`	MATTER: Multi-stage Adaptive Thermal Trojan for Efficiency & Resilience degradation. CoRR Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed A. Badawy, Mahdi Fazeli, Ahmad Patooghy
2024	J	`jnl`	Parallel Fractional Stochastic Gradient Descent With Adaptive Learning for Recommender Systems. IEEE Trans. Parallel Distributed Syst. Fatemeh Elahi, Mahmood Fazlali, Hadi Tabatabaee Malazi, Mehdi Elahi
2024	J	`jnl`	Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. Inf. Process. Manag. Elham Motamedi, Danial Khosh Kholgh, Sorush Saghari, Mehdi Elahi, Francesco Barile, Marko Tkalcic
2024	J	`jnl`	The trade-off between data minimization and fairness in collaborative filtering. CoRR Nasim Sonboli, Sipei Li, Mehdi Elahi, Asia Biega
2023	J	`jnl`	A Survey on Popularity Bias in Recommender Systems. CoRR Anastasiia Klimashevskaia, Dietmar Jannach, Mehdi Elahi, Christoph Trattner
2023	J	`jnl`	Addressing Benign and Malicious Crosstalk in Modern System-on-Chips. IEEE Access Ahmad Patooghy, Mehdi Elahi, Maral Filvan Torkaman, Sara Sezavar Dokhtfaroughi, Ramin Rajaei
2023	—	`conf`	Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models. UMAP (Adjunct Publication) Anastasiia Klimashevskaia, Mehdi Elahi, Christoph Trattner
2023	J	`jnl`	Benchmarking equivariance for Deep Learning based optical flow estimators. Signal Process. Image Commun. Stefano Savian, Mehdi Elahi, Andrea Janes, Tammam Tillo
2023	A	`conf`	Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. RecSys Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Lars Skjærven, Astrid Tessem, Christoph Trattner
2023	J	`jnl`	Hybrid recommendation by incorporating the sentiment of product reviews. Inf. Sci. Mehdi Elahi, Danial Khosh Kholgh, Mohammad Sina Kiarostami, Mourad Oussalah, Sorush Saghari
2023	—	`conf`	The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System. IntRS@RecSys Ayoub El Majjodi, Alain D. Starke, Mehdi Elahi, Christoph Trattner
2023	—	`conf`	The Relation between Texts and Images in News: News Images in MediaEval 2023. MediaEval Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen
2022	J	`jnl`	A Convolutional Attention Network for Unifying General and Sequential Recommenders. Inf. Process. Manag. Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Imran Razzak, Mehmet A. Orgun, Mehdi Elahi
2022	—	`conf`	Capacity-Based Trust System in Untrusted MEC Environments. IOTSMS Van Thanh Le, Nabil El Ioini, Claus Pahl, Mehdi Elahi
2022	A	`conf`	MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. RecSys Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
2022	—	`conf`	Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. BIAS Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner, Lars Skjærven
2022	—	`conf`	News Images in MediaEval 2022. MediaEval Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen
2022	—	`ed.`	Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, 18th-23rd September 2022. MORS@RecSys Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
2022	J	`jnl`	Responsible media technology and AI: challenges and research directions. AI Ethics 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, Hallvard Moe
2022	J	`jnl`	Towards responsible media recommendation. AI Ethics Mehdi Elahi, Dietmar Jannach, Lars Skjærven, Erik Knudsen, Helle Sjøvaag, Kristian Tolonen, Øyvind Holmstad, Igor Pipkin, Eivind Throndsen, Agnes Stenbom, Eivind Fiskerud, Adrian Oesch, Loek Vredenberg, Christoph Trattner
2021	J	`jnl`	Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. Expert Syst. J. Knowl. Eng. Naieme Hazrati, Mehdi Elahi
2021	—	`conf`	Beyond Algorithmic Fairness in Recommender Systems. UMAP (Adjunct Publication) Mehdi Elahi, Himan Abdollahpouri, Masoud Mansoury, Helma Torkamaan
2021	J	`jnl`	Developing and Evaluating a University Recommender System. Frontiers Artif. Intell. Mehdi Elahi, Alain Starke, Nabil El Ioini, Anna Alexander Lambrix, Christoph Trattner
2021	J	`jnl`	From Trustworthy Data to Trustworthy IoT: A Data Collection Methodology Based on Blockchain. ACM Trans. Cyber Phys. Syst. Claudio A. Ardagna, Rasool Asal, Ernesto Damiani, Nabil El Ioini, Mehdi Elahi, Claus Pahl
2021	—	`conf`	Hybrid Recommendation of Movies Based on Deep Content Features. ICSOC Workshops Tord Kvifte, Mehdi Elahi, Christoph Trattner
2021	J	`jnl`	Investigating the impact of recommender systems on user-based and item-based popularity bias. Inf. Process. Manag. Mehdi Elahi, Danial Khosh Kholgh, Mohammad Sina Kiarostami, Sorush Saghari, Shiva Parsa Rad, Marko Tkalcic
2021	—	`conf`	MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems. MORS@RecSys Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
2021	A	`conf`	MORS 2021: 1st Workshop on Multi-Objective Recommender Systems. RecSys Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
2021	—	`conf`	News Images in MediaEval 2021. MediaEval Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen
2021	—	`ed.`	Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, September 25, 2021. MORS@RecSys Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
2021	—	`conf`	Recommending Videos in Cold Start With Automatic Visual Tags. UMAP (Adjunct Publication) Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Reza Hosseini, Mohammad Hossein Rimaz, Nabil El Ioini, Marko Tkalcic, Christoph Trattner, Tammam Tillo
2020	—	`conf`	AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem. ICSOC Workshops Mohammad Hossein Rimaz, Reza Hosseini, Mehdi Elahi, Farshad Bakhshandegan Moghaddam
2020	—	`conf`	Exploring Personalized University Ranking and Recommendation. UMAP (Adjunct Publication) Mehdi Elahi, Nabil El Ioini, Anna Alexander Lambrix, Mouzhi Ge
2020	—	`ch.`	Optical Flow Estimation with Deep Learning, a Survey on Recent Advances. Deep Biometrics Stefano Savian, Mehdi Elahi, Tammam Tillo
2020	—	`conf`	Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices. HT Naieme Hazrati, Mehdi Elahi, Francesco Ricci
2020	—	`conf`	Towards Generating Personalized Country Recommendation. UMAP (Adjunct Publication) Ayoub El Majjodi, Mehdi Elahi, Nabil El Ioini, Christoph Trattner
2020	—	`conf`	Visually-Aware Video Recommendation in the Cold Start. HT Mehdi Elahi, Reza Hosseini, Mohammad Hossein Rimaz, Farshad Bakhshandegan Moghaddam, Christoph Trattner
2019	—	`conf`	Analysing Recommender Systems Impact on Users' Choices. ImpactRS@RecSys Naieme Hazrati, Mehdi Elahi, Francesco Ricci
2019	—	`conf`	Benchmarking The Imbalanced Behavior of Deep Learning Based Optical Flow Estimators. SITIS Stefano Savian, Mehdi Elahi, Tammam Tillo
2019	A	`conf`	Exploring the Power of Visual Features for the Recommendation of Movies. UMAP Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini, Marko Tkalcic
2019	C	`conf`	Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content. CBMI Yashar Deldjoo, Markus Schedl, Mehdi Elahi
2019	—	`conf`	Predicting Movie Popularity and Ratings with Visual Features. SMAP Farshad Bakhshandegan Moghaddam, Mehdi Elahi, Reza Hosseini, Christoph Trattner, Marko Tkalcic
2019	A	`conf`	Prediction of music pairwise preferences from facial expressions. IUI Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt
2019	—	`conf`	Your hardware is all wired up!: attacking network-on-chips via crosstalk channel. NoCArc@MICRO Ahmad Patooghy, Maral Filvan Torkaman, Mehdi Elahi
2018	J	`jnl`	Current challenges and visions in music recommender systems research. Int. J. Multim. Inf. Retr. Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi
2018	—	`conf`	It Takes Two, Baby: Style and Tangibles for Recommending and Interacting with Videos. IIR Mehdi Elahi, Rosella Gennari, Alessandra Melonio, Francesco Ricci
2018	J	`jnl`	Social Network based Short-Term Stock Trading System. CoRR Paolo Cremonesi, Chiara Francalanci, Alessandro Poli, Roberto Pagano, Luca Mazzoni, Alberto Maggioni, Mehdi Elahi
2018	C	`conf`	Tangible Tourism with the Internet of Things. ENTER Dario Cavada, Mehdi Elahi, David Massimo, Stefano Maule, Elena Not, Francesco Ricci, Adriano Venturini
2018	—	`ch.`	User Preference Elicitation, Rating Sparsity and Cold Start. Collaborative Recommendations Mehdi Elahi, Matthias Braunhofer, Tural Gurbanov, Francesco Ricci
2018	J	`jnl`	Using visual features based on MPEG-7 and deep learning for movie recommendation. Int. J. Multim. Inf. Retr. Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi
2017	A	`conf`	A Research Tool for User Preferences Elicitation with Facial Expressions. RecSys Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt
2017	J	`jnl`	Current Challenges and Visions in Music Recommender Systems Research. CoRR Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi
2017	A	`conf`	Exploring the Semantic Gap for Movie Recommendations. RecSys Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi
2017	A	`conf`	Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System. UMAP David Massimo, Mehdi Elahi, Mouzhi Ge, Francesco Ricci
2017	—	`conf`	Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space. UMAP (Adjunct Publication) David Massimo, Mehdi Elahi, Francesco Ricci
2017	A	`conf`	RecSys Challenge 2017: Offline and Online Evaluation. RecSys Fabian Abel, Yashar Deldjoo, Mehdi Elahi, Daniel Kohlsdorf
2017	J	`jnl`	Toward Active Learning in Cross-domain Recommender Systems. CoRR Roberto Pagano, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi
2017	—	`conf`	User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity. UMAP (Adjunct Publication) Hanna Schäfer, Mehdi Elahi, David Elsweiler, Georg Groh, Morgan Harvey, Bernd Ludwig, Francesco Ricci, Alan Said
2017	J	`jnl`	User interface patterns in recommendation-empowered content intensive multimedia applications. Multim. Tools Appl. Paolo Cremonesi, Mehdi Elahi, Franca Garzotto
2017	J	`jnl`	Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation. CoRR Yashar Deldjoo, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi
2016	J	`jnl`	A survey of active learning in collaborative filtering recommender systems. Comput. Sci. Rev. Mehdi Elahi, Francesco Ricci, Neil Rubens
2016	J	`jnl`	Alleviating the new user problem in collaborative filtering by exploiting personality information. User Model. User Adapt. Interact. Ignacio Fernández-Tobías, Matthias Braunhofer, Mehdi Elahi, Francesco Ricci, Iván Cantador
2016	J	`jnl`	Content-Based Video Recommendation System Based on Stylistic Visual Features. J. Data Semant. Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla, Massimo Quadrana
2016	—	`conf`	How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? EC-Web Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Farshad Bakhshandegan Moghaddam, Andrea Luigi Edoardo Caielli
2016	—	`conf`	Recommending Movies Based on Mise-en-Scene Design. CHI Extended Abstracts Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla
2016	—	`conf`	Using Visual Features and Latent Factors for Movie Recommendation. CBRecSys@RecSys Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi
2015	—	`ch.`	Active Learning in Recommender Systems. Recommender Systems Handbook Neil Rubens, Mehdi Elahi, Masashi Sugiyama, Dain Kaplan
2015	—	`conf`	Interaction Design Patterns in Recommender Systems. CHItaly Paolo Cremonesi, Mehdi Elahi, Franca Garzotto
2015	—	`conf`	Interaction Design in a Mobile Food Recommender System. IntRS@RecSys Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio Fernández-Tobías, Shlomo Berkovsky, David Massimo
2015	—	`conf`	Investigating the Decision Making Process of Users based on the PoliMovie Dataset. DMRS Mona Naseri, Mehdi Elahi, Paolo Cremonesi
2015	—	`conf`	Toward Building a Content-Based Video Recommendation System Based on Low-Level Features. EC-Web Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi
2015	—	`conf`	Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles. CHItaly Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi, Franca Garzotto
2015	C	`conf`	User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System. ENTER Matthias Braunhofer, Mehdi Elahi, Francesco Ricci
2015	—	`conf`	Using Tags and Latent Factors in a Food Recommender System. Digital Health Mouzhi Ge, Mehdi Elahi, Ignacio Fernández-Tobías, Francesco Ricci, David Massimo
2014	—	`conf`	Active Learning in Collaborative Filtering Recommender Systems. EC-Web Mehdi Elahi, Francesco Ricci, Neil Rubens
2014	—	`conf`	Context Dependent Preference Acquisition with Personality-Based Active Learning in Mobile Recommender Systems. HCI (15) Matthias Braunhofer, Mehdi Elahi, Mouzhi Ge, Francesco Ricci
2014	C	`conf`	Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management. ENTER Matthias Braunhofer, Mehdi Elahi, Francesco Ricci, Thomas Schievenin
2014	—	`conf`	Interactive Food Recommendation for Groups. RecSys Posters Mehdi Elahi, Mouzhi Ge, Francesco Ricci, David Massimo, Shlomo Berkovsky
2014	—	`conf`	STS: A Context-Aware Mobile Recommender System for Places of Interest. UMAP Workshops Matthias Braunhofer, Mehdi Elahi, Francesco Ricci
2014	J	`jnl`	Techniques for cold-starting context-aware mobile recommender systems for tourism. Intelligenza Artificiale Matthias Braunhofer, Mehdi Elahi, Francesco Ricci
2014	—	`conf`	Usability Assessment of a Context-Aware and Personality-Based Mobile Recommender System. EC-Web Matthias Braunhofer, Mehdi Elahi, Francesco Ricci
2013	J	`jnl`	Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective. ACM Trans. Intell. Syst. Technol. Mehdi Elahi, Francesco Ricci, Neil Rubens
2013	—	`conf`	Personality-Based Active Learning for Collaborative Filtering Recommender Systems. AI*IA Mehdi Elahi, Matthias Braunhofer, Francesco Ricci, Marko Tkalcic
2013	—	`conf`	STS: Design of Weather-Aware Mobile Recommender Systems in Tourism. AIHCI@AIIA Matthias Braunhofer, Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Thomas Schievenin
2012	C	`conf`	Adapting to Natural Rating Acquisition with Combined Active Learning Strategies. ISMIS Mehdi Elahi, Francesco Ricci, Neil Rubens
2011	A	`conf`	Adaptive Active Learning in Recommender Systems. UMAP Mehdi Elahi
2011	—	`conf`	Rating Elicitation Strategies for Collaborative Filtering. EC-Web Mehdi Elahi, Valdemaras Repsys, Francesco Ricci
2010	A	`conf`	Context-aware intelligent recommender system. IUI Mehdi Elahi
2009	A	`conf`	Tribal taste: mobile multiagent recommender system. IUI Magnus Jändel, Mehdi Elahi