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Tommaso 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
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Towards Effective Device-Aware Federated Learning. CoRR abs/1908.07420 (2019) - [i9]