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ORCIDTommaso Di Noia
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- affiliation: Polytechnic University of Bari, Italy
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2020 – today
- 2023
[c226]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo:
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. ECIR (1) 2023: 33-48- [i29]Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio:
MAFUS: a Framework to predict mortality risk in MAFLD subjects. CoRR abs/2301.06908 (2023) - [i28]Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary, Giovanni Servedio:
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids. CoRR abs/2303.18136 (2023) - 2022
- [j49]Tommaso Di Noia, Nava Tintarev, Panagiota Fatourou, Markus Schedl:
Recommender systems under European AI regulations. Commun. ACM 65(4): 69-73 (2022) - [j48]Yashar Deldjoo
, Tommaso Di Noia, Felice Antonio Merra:
A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks. ACM Comput. Surv. 54(2): 35:1-35:38 (2022) - [j47]Hossein A. Rahmani, Yashar Deldjoo, Tommaso Di Noia:
The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems. Expert Syst. Appl. 205: 117700 (2022) - [j46]Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary:
Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling. Expert Syst. Appl. 210: 118368 (2022) - [j45]Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo:
Conversational recommendation: Theoretical model and complexity analysis. Inf. Sci. 614: 325-347 (2022) - [j44]Silvana Bruno, Albina Scioti, Alessandra Pierucci, Rocco Rubino, Tommaso Di Noia, Fabio Fatiguso:
VERBUM - virtual enhanced reality for building modelling (virtual technical tour in digital twins for building conservation). J. Inf. Technol. Constr. 27: 20-47 (2022) - [j43]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
User-controlled federated matrix factorization for recommender systems. J. Intell. Inf. Syst. 58(2): 287-309 (2022) - [j42]Rossella Tatoli, Luisa Lampignano, Ilaria Bortone, Rossella Donghia, Fabio Castellana, Roberta Zupo, Sarah Tirelli, Sara De Nucci, Annamaria Sila, Annalidia Natuzzi, Madia Lozupone, Chiara Griseta, Sabrina Sciarra, Simona Aresta, Giovanni De Pergola, Paolo Sorino, Domenico Lofù, Francesco Panza, Tommaso Di Noia, Rodolfo Sardone:
Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach. Sensors 22(6): 2193 (2022) - [j41]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
Semantic Interpretation of Top-N Recommendations. IEEE Trans. Knowl. Data Eng. 34(5): 2416-2428 (2022) - [c225]Vito Walter Anelli, Giovanni Maria Biancofiore, Alessandro De Bellis, Tommaso Di Noia, Eugenio Di Sciascio:
Interpretability of BERT Latent Space through Knowledge Graphs. CIKM 2022: 3806-3810 - [c224]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo:
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. DL4SR@CIKM 2022 - [c223]Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary:
IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid. CIKM 2022: 3817-3821 - [c222]Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo:
Towards a theoretical formalization of conversational recommendation. CIKM Workshops 2022 - [c221]Domenico Lofù, Andrea Pazienza, Carmelo Ardito, Tommaso Di Noia, Eugenio Di Sciascio, Felice Vitulano:
A Situation Awareness Computational Intelligent Model for Metabolic Syndrome Management. CogSIMA 2022: 118-124 - [c220]Domenico Lofù, Pietro Di Gennaro, Paolo Sorino, Tommaso Di Noia, Eugenio Di Sciascio:
CPU-side comparison for Key Agreement between Tree Parity Machines and standard Cryptographic Primitives. DESSERT 2022: 1-6 - [c219]Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
Leveraging Content-Style Item Representation for Visual Recommendation. ECIR (2) 2022: 84-92 - [c218]Alberto Carlo Maria Mancino, Tommaso Di Noia:
Towards Differentially Private Machine Learning Models and Their Robustness to Adversaries. ICWE 2022: 455-461 - [c217]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo:
An Analysis of Local Explanation with LIME-RS. IIR 2022 - [c216]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Addressing Privacy in Recommender Systems with Federated Learning. IIR 2022 - [c215]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo:
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. MORS@RecSys 2022 - [c214]Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore:
Aspect based sentiment analysis in music: a case study with spotify. SAC 2022: 696-703 - [c213]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs. SEBD 2022: 505-513 - [c212]Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Eugenio Di Sciascio, Tommaso Di Noia:
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models. SEBD 2022: 514-521 - [c211]Carmelo Ardito, Ilaria Bortone, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Fedelucio Narducci, Rodolfo Sardone, Paolo Sorino:
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition. SMC 2022: 2689-2694 - [c210]Fabio Castellana, Simona Aresta, Paolo Sorino, Ilaria Bortone, Domenico Lofù, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio, Rodolfo Sardone:
An Artificial Neural Network Model to Assess Nutritional Factors Associated with Frailty in the Aging Population from Southern Italy. SMC 2022: 3228-3233 - [c209]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo:
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. UMAP 2022: 121-131 - [e14]Tommaso Di Noia, In-Young Ko, Markus Schedl, Carmelo Ardito:
Web Engineering - 22nd International Conference, ICWE 2022, Bari, Italy, July 5-8, 2022, Proceedings. Lecture Notes in Computer Science 13362, Springer 2022, ISBN 978-3-031-09916-8 [contents] - [r3]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Adversarial Recommender Systems: Attack, Defense, and Advances. Recommender Systems Handbook 2022: 335-379 - [i27]Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia:
A Review of Modern Fashion Recommender Systems. CoRR abs/2202.02757 (2022) - [i26]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo:
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. CoRR abs/2203.01155 (2022) - [i25]Domenico Lofù, Pietro Tedeschi, Tommaso Di Noia, Eugenio Di Sciascio:
URANUS: Radio Frequency Tracking, Classification and Identification of Unmanned Aircraft Vehicles. CoRR abs/2207.06025 (2022) - [i24]Giovanni Maria Biancofiore, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci:
Interactive Question Answering Systems: Literature Review. CoRR abs/2209.01621 (2022) - 2021
- [j40]Yashar Deldjoo, Alejandro Bellogín, Tommaso Di Noia:
Explaining recommender systems fairness and accuracy through the lens of data characteristics. Inf. Process. Manag. 58(5): 102662 (2021) - [j39]Vito Walter Anelli, Pierpaolo Basile, Toine Bogers, Tommaso Di Noia, Francesco Maria Donini, Bamshad Mobasher, Cataldo Musto, Fedelucio Narducci, Casper Petersen, Maria Soledad Pera, Markus Zanker:
Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021. SIGIR Forum 55(2): 17:1-17:9 (2021) - [j38]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia:
A flexible framework for evaluating user and item fairness in recommender systems. User Model. User Adapt. Interact. 31(3): 457-511 (2021) - [c208]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders. CIKM 2021: 2852-2856 - [c207]Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems. CVPR Workshops 2021: 3961-3967 - [c206]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
FedeRank: User Controlled Feedback with Federated Recommender Systems. ECIR (1) 2021: 32-47 - [c205]Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. FLAIRS 2021 - [c204]Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Eugenio Di Sciascio, Tommaso Di Noia:
How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation. IIR 2021 - [c203]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Sparse Embeddings for Recommender Systems with Knowledge Graphs. IIR 2021 - [c202]Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore:
GUapp: Enhancing Job Recommendations with Knowledge Graphs. IIR 2021 - [c201]Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra:
A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks. IIR 2021 - [c200]Carmelo Ardito, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Andrea Pazienza, Felice Vitulano:
User Feedback to Improve the Performance of a Cyberattack Detection Artificial Intelligence System in the e-Health Domain. INTERACT (5) 2021: 295-299 - [c199]Carmelo Ardito, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio:
A Biofeedback System to Compose Your Own Music While Dancing. INTERACT (5) 2021: 309-312 - [c198]Carmelo Ardito, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio:
Brain Computer Interface, Visual Tracker and Artificial Intelligence for a Music Polyphony Generation System. INTERACT (5) 2021: 368-371 - [c197]Carmelo Ardito, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Andrea Pazienza, Felice Vitulano:
An Artificial Intelligence Cyberattack Detection System to Improve Threat Reaction in e-Health. ITASEC 2021: 270-283 - [c196]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo:
Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper). KaRS/ComplexRec@RecSys 2021 - [c195]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. RecSys 2021: 154-165 - [c194]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo:
Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization. RecSys 2021: 521-529 - [c193]Vito Walter Anelli, Tommaso Di Noia, Felice Antonio Merra:
The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning. RecSys 2021: 730-735 - [c192]Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia:
V-Elliot: Design, Evaluate and Tune Visual Recommender Systems. RecSys 2021: 768-771 - [c191]Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco M. Donini, Cataldo Musto, Fedelucio Narducci, Markus Zanker:
Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys 2021: 806-809 - [c190]Vito Walter Anelli, Luca Belli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci, Claudio Pomo:
Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications. RecSys 2021: 838-841 - [c189]Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore:
GUApp: a Knowledge-aware Conversational Agent for Job Recommendation (Short paper). KaRS/ComplexRec@RecSys 2021 - [c188]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
How to put users in control of their data in federated top-N recommendation with learning to rank. SAC 2021: 1359-1362 - [c187]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
Federated Recommender Systems with Learning to Rank. SEBD 2021: 71-82 - [c186]Giuseppe De Candia, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra:
AMFLP: Adversarial Matrix Factorization-based Link Predictor in Social Graphs. SEBD 2021: 128-139 - [c185]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. SIGIR 2021: 1094-1103 - [c184]Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia:
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. SIGIR 2021: 2405-2414 - [e13]Vito Walter Anelli, Tommaso Di Noia, Nicola Ferro, Fedelucio Narducci:
Proceedings of the 11th Italian Information Retrieval Workshop 2021, Bari, Italy, September 13-15, 2021. CEUR Workshop Proceedings 2947, CEUR-WS.org 2021 [contents] - [e12]Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco Maria Donini, Cataldo Musto, Fedelucio Narducci, Markus Zanker, Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera:
Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Virtual Event, Amsterdam, The Netherlands, September 25, 2021. CEUR Workshop Proceedings 2960, CEUR-WS.org 2021 [contents] - [i23]Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Tommaso Di Noia:
Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. CoRR abs/2103.02590 (2021) - [i22]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo:
Reenvisioning Collaborative Filtering vs Matrix Factorization. CoRR abs/2107.13472 (2021) - [i21]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality. CoRR abs/2107.13876 (2021) - [i20]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. CoRR abs/2107.14290 (2021) - [i19]Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo:
Adherence and Constancy in LIME-RS Explanations for Recommendation. CoRR abs/2109.00818 (2021) - [i18]Tommaso Di Noia, Francesco M. Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo:
Conversational Recommendation: Theoretical Model and Complexity Analysis. CoRR abs/2111.05578 (2021) - 2020
- [j37]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara:
Prioritized multi-criteria federated learning. Intelligenza Artificiale 14(2): 183-200 (2020) - [j36]Vito Walter Anelli, Renato De Leone, Tommaso Di Noia, Thomas Lukasiewicz, Jessica Rosati:
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting. Semantic Web 11(3): 391-419 (2020) - [c183]Carmelo Ardito, Tommaso Di Noia, Corrado Fasciano, Domenico Lofù, Nicola Macchiarulo, Giulio Mallardi, Andrea Pazienza, Felice Vitulano:
Towards a Situation Awareness for eHealth in Ageing Society. AIxAS@AI*IA 2020: 40-55 - [c182]Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders (short paper). DP@AI*IA 2020: 49-56 - [c181]Carmelo Ardito, Tommaso Di Noia, Corrado Fasciano, Domenico Lofù, Nicola Macchiarulo, Giulio Mallardi, Andrea Pazienza, Felice Vitulano:
Management at the Edge of Situation Awareness During Patient Telemonitoring. AI*IA 2020: 372-387 - [c180]Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems. DSN Workshops 2020: 1-8 - [c179]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta:
Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario. EAIS 2020: 1-8 - [c178]Carmelo Ardito, Francesco Bellifemine, Tommaso Di Noia, Domenico Lofù, Giulio Mallardi:
A Proposal of Case-Based Approach to Clinical Pathway Modeling Support. EAIS 2020: 1-6 - [c177]Vito Bellini, Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Claudio Pomo:
GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration. EAIS 2020: 1-7 - [c176]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra:
SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs. ESWC 2020: 307-323 - [c175]Carmelo Ardito, Tommaso Di Noia, Corrado Fasciano, Domenico Lofù, Nicola Macchiarulo, Giulio Mallardi, Andrea Pazienza, Felice Vitulano:
An Edge Ambient Assisted Living Process for Clinical Pathway. ForItAAL 2020: 363-374 - [c174]Carmelo Ardito, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Giulio Mallardi, Claudio Pomo, Felice Vitulano:
Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure. HCSE 2020: 181-189 - [c173]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code. RecSys 2020: 738-741 - [c172]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra, Giuseppe Acciani, Eugenio Di Sciascio:
Knowledge-enhanced Shilling Attacks for Recommendation. SEBD 2020: 310-317 - [c171]Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra:
How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models. SIGIR 2020: 951-960 - [c170]Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Adversarial Machine Learning in Recommender Systems (AML-RecSys). WSDM 2020: 869-872 - [p3]Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio:
Knowledge-Aware Interpretable Recommender Systems. Knowledge Graphs for eXplainable Artificial Intelligence 2020: 101-124 - [e11]Vito Walter Anelli, Tommaso Di Noia:
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, co-located with 28th ACM International Conference on Information and Knowledge Management, KaRS@CIKM 2019, Beijing, China, November 7, 2019. CEUR Workshop Proceedings 2601, CEUR-WS.org 2020 [contents] - [i17]Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Adversarial Machine Learning in Recommender Systems: State of the art and Challenges. CoRR abs/2005.10322 (2020) - [i16]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara:
Prioritized Multi-Criteria Federated Learning. CoRR abs/2007.08893 (2020) - [i15]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
How to Put Users in Control of their Data via Federated Pair-Wise Recommendation. CoRR abs/2008.07192 (2020) - [i14]Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders. CoRR abs/2010.00984 (2020) - [i13]Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. CoRR abs/2010.01329 (2020) - [i12]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
FedeRank: User Controlled Feedback with Federated Recommender Systems. CoRR abs/2012.11328 (2020)
2010 – 2019
- 2019
- [j35]Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio, Angelo Schiavone:
Semantics-Aware Autoencoder. IEEE Access 7: 166122-166137 (2019) - [j34]Tommaso Di Noia, Marina Mongiello, Francesco Nocera, Umberto Straccia:
A fuzzy ontology-based approach for tool-supported decision making in architectural design. Knowl. Inf. Syst. 58(1): 83-112 (2019) - [j33]Petar Ristoski, Jessica Rosati, Tommaso Di Noia, Renato De Leone, Heiko Paulheim:
RDF2Vec: RDF graph embeddings and their applications. Semantic Web 10(4): 721-752 (2019) - [j32]Ignacio Fernández-Tobías, Iván Cantador, Paolo Tomeo, Vito Walter Anelli, Tommaso Di Noia:
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization. User Model. User Adapt. Interact. 29(2): 443-486 (2019) - [c169]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara:
Towards Effective Device-Aware Federated Learning. AI*IA 2019: 477-491 - [c168]Vito Walter Anelli, Tommaso Di Noia:
2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS. CIKM 2019: 3001-3002 - [c167]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
Local Popularity and Time in top-N Recommendation. ECIR (1) 2019: 861-868 - [c166]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Claudio Pomo:
Semantic interpretability of latent factors for recommendation. IIR 2019: 43-44 - [c165]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Claudio Pomo, Azzurra Ragone:
On the discriminative power of hyper-parameters in cross-validation and how to choose them. RecSys 2019: 447-451 - [c164]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín Kouki, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. RMSE@RecSys 2019 - [c163]Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Assessing the Impact of a User-Item Collaborative Attack on Class of Users. ImpactRS@RecSys 2019 - [c162]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
The importance of being dissimilar in recommendation. SAC 2019: 816-821 - [c161]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone:
Anna: A Virtual Assistant to Interact with Puglia Digital Library. SEBD 2019 - [c160]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
How to Make Latent Factors Interpretable by Feeding Factorization Machines with Knowledge Graphs. ISWC (1) 2019: 38-56 - [e10]Vito Walter Anelli, Tommaso Di Noia, Pasquale Lops, Cataldo Musto, Markus Zanker, Pierpaolo Basile, Derek G. Bridge, Fedelucio Narducci:
Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, KaRS@RecSys 2018, Vancouver, Canada, October 7, 2018. CEUR Workshop Proceedings 2290, CEUR-WS.org 2019 [contents] - [i11]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. CoRR abs/1908.06708 (2019) - [i10]Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara:
Towards Effective Device-Aware Federated Learning. CoRR abs/1908.07420 (2019) - [i9]