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Tommaso Di Noia
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- affiliation: Polytechnic University of Bari, Italy
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2020 – today
- 2024
- [j57]Tommaso Colafiglio
, Angela Lombardi
, Paolo Sorino
, Elvira Brattico
, Domenico Lofù
, Danilo Danese
, Eugenio Di Sciascio
, Tommaso Di Noia
, Fedelucio Narducci
:
NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. IEEE Access 12: 159296-159315 (2024) - [j56]Maria Luigia Natalia De Bonis, Giuseppe Fasano, Angela Lombardi, Carmelo Ardito, Antonio Ferrara, Eugenio Di Sciascio, Tommaso Di Noia:
Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines. Brain Informatics 11(1): 33 (2024) - [j55]Tommaso Colafiglio, Carmelo Ardito, Paolo Sorino
, Domenico Lofù
, Fabrizio Festa
, Tommaso Di Noia, Eugenio Di Sciascio:
NeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning Algorithms. Cogn. Comput. 16(5): 2779-2802 (2024) - [j54]Yashar Deldjoo
, Fatemeh Nazary
, Arnau Ramisa
, Julian J. McAuley
, Giovanni Pellegrini
, Alejandro Bellogín
, Tommaso Di Noia
:
A Review of Modern Fashion Recommender Systems. ACM Comput. Surv. 56(4): 87:1-87:37 (2024) - [j53]Giovanni Maria Biancofiore
, Yashar Deldjoo
, Tommaso Di Noia
, Eugenio Di Sciascio
, Fedelucio Narducci
:
Interactive Question Answering Systems: Literature Review. ACM Comput. Surv. 56(9): 239:1-239:38 (2024) - [c271]Daniele Malitesta
, Emanuele Rossi
, Claudio Pomo
, Tommaso Di Noia
, Fragkiskos D. Malliaros
:
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? CIKM 2024: 3943-3948 - [c270]Angela Lombardi
, Sofia Marzo, Eugenio Di Sciascio
, Tommaso Di Noia
, Carmelo Ardito
:
Intuitiveness and Trustworthiness of AI-Powered Interfaces for Neurological Diagnosis - Preliminary Results. HCSE 2024: 273-280 - [c269]Danilo Danese, Tommaso Di Noia, Angela Lombardi, Domenico Lofù, Fatemeh Nazary, Rodolfo Sardone, Paolo Sorino:
Integrating eXplainable AI in Healthcare: A Web Application Framework for Advancing the One Health Paradigm. ICWE Workshops 2024: 77-88 - [c268]Carmelo Ardito, Tommaso Colafiglio, Tommaso Di Noia, Angela Lombardi, Domenico Lofù, Fedelucio Narducci, Paolo Sorino:
Towards a Neurofeedback Tool For Emotion Recognition Using Brain Computer Interface. ICWE Workshops 2024: 89-98 - [c267]Dario Di Palma, Giovanni Servedio, Vito Walter Anelli, Giovanni Maria Biancofiore, Fedelucio Narducci, Leonarda Carnimeo, Tommaso Di Noia:
Beyond Words: Can ChatGPT Support State-of-the-Art Recommender Systems? IIR 2024: 13-22 - [c266]Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci:
The CAMEO Project: A Holistic View for Conversational Agents. IIR 2024: 107-110 - [c265]Matteo Attimonelli, Claudio Pomo, Dietmar Jannach, Tommaso Di Noia:
Toward Effective Fashion Item Compatibility Modelling. IIR 2024: 111-114 - [c264]Vincenzo Paparella, Dario Di Palma, Vito Walter Anelli, Alessandro De Bellis, Tommaso Di Noia:
Unveiling the Potential of Recommender Systems through Multi-Objective Metrics. IIR 2024: 119-122 - [c263]Salvatore Bufi, Alberto Carlo Maria Mancino, Antonio Ferrara, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio:
KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering. IRonGraphs 2024: 41-59 - [c262]Felice Antonio Merra, Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio:
Empowering Shilling Attacks with Katz and Exclusivity-based Relatedness. KaRS@RecSys 2024: 21-42 - [c261]Daniele Malitesta
, Claudio Pomo
, Vito Walter Anelli
, Alberto Carlo Maria Mancino
, Tommaso Di Noia
, Eugenio Di Sciascio
:
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph. RecSys 2024: 549-559 - [c260]Davide Abbattista
, Vito Walter Anelli
, Tommaso Di Noia
, Craig MacDonald
, Aleksandr Vladimirovich Petrov
:
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. RecSys 2024: 1168-1173 - [c259]Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci:
CAMEO: Fostering Joint Conversational Search and Recommendation. SEBD 2024: 290-301 - [c258]Alessandro De Bellis
, Vito Walter Anelli
, Tommaso Di Noia
, Eugenio Di Sciascio
:
PRONTO: Prompt-Based Detection of Semantic Containment Patterns in MLMs. ISWC (2) 2024: 227-246 - [c257]Tommaso Colafiglio
, Domenico Lofù
, Paolo Sorino
, Angela Lombardi
, Fedelucio Narducci
, Fabrizio Festa
, Tommaso Di Noia
:
EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface. UMAP (Adjunct Publication) 2024 - [c256]Tommaso Colafiglio
, Tommaso Di Noia
, Domenico Lofù
, Angela Lombardi
, Fedelucio Narducci
, Paolo Sorino
:
Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM). UMAP (Adjunct Publication) 2024 - [c255]Angela Lombardi
, Sofia Marzo
, Tommaso Di Noia
, Eugenio Di Sciascio
, Carmelo Ardito
:
Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis. UMAP (Adjunct Publication) 2024 - [c254]Paolo Sorino
, Giovanni Maria Biancofiore
, Domenico Lofù
, Tommaso Colafiglio
, Angela Lombardi
, Fedelucio Narducci
, Tommaso Di Noia
:
ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation. UMAP (Adjunct Publication) 2024 - [c253]Matteo Attimonelli
, Danilo Danese
, Daniele Malitesta
, Claudio Pomo
, Giuseppe Gassi
, Tommaso Di Noia
:
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation. WWW (Companion Volume) 2024: 1075-1078 - [e17]Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker:
Proceedings of the Sixth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, October 18th, 2024. CEUR Workshop Proceedings 3817, CEUR-WS.org 2024 [contents] - [e16]Tommaso Di Noia, Pasquale Lops, Thorsten Joachims, Katrien Verbert, Pablo Castells, Zhenhua Dong, Ben London:
Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024. ACM 2024, ISBN 979-8-4007-0505-2 [contents] - [i51]Matteo Attimonelli, Danilo Danese, Daniele Malitesta, Claudio Pomo
, Giuseppe Gassi, Tommaso Di Noia:
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation. CoRR abs/2403.04503 (2024) - [i50]Yashar Deldjoo, Tommaso Di Noia:
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System. CoRR abs/2403.05668 (2024) - [i49]Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Fragkiskos D. Malliaros, Tommaso Di Noia:
Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach. CoRR abs/2403.19841 (2024) - [i48]Salvatore Bufi, Alberto Carlo Maria Mancino, Antonio Ferrara, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio:
KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering. CoRR abs/2403.20095 (2024) - [i47]Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio:
XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare. CoRR abs/2405.06270 (2024) - [i46]Matteo Attimonelli, Claudio Pomo, Dietmar Jannach, Tommaso Di Noia:
Fashion Image-to-Image Translation for Complementary Item Retrieval. CoRR abs/2408.09847 (2024) - [i45]Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio:
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph. CoRR abs/2408.11762 (2024) - [i44]Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros:
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? CoRR abs/2408.11767 (2024) - [i43]Davide Abbattista, Vito Walter Anelli, Tommaso Di Noia, Craig Macdonald, Aleksandr Vladimirovich Petrov:
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. CoRR abs/2409.04329 (2024) - [i42]Daniele Malitesta, Alberto Carlo Maria Mancino, Pasquale Minervini, Tommaso Di Noia:
Dot Product is All You Need: Bridging the Gap Between Item Recommendation and Link Prediction. CoRR abs/2409.07433 (2024) - [i41]Matteo Attimonelli, Danilo Danese, Angela Di Fazio, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia:
Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation. CoRR abs/2409.15857 (2024) - [i40]Potito Aghilar, Vito Walter Anelli, Michelantonio Trizio, Tommaso Di Noia:
Scalable Cloud-Native Pipeline for Efficient 3D Model Reconstruction from Monocular Smartphone Images. CoRR abs/2409.19322 (2024) - [i39]Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Daniele Malitesta, Claudio Pomo, Antonio Ferrara, Tommaso Di Noia:
DataRec: A Framework for Standardizing Recommendation Data Processing and Analysis. CoRR abs/2410.22972 (2024) - 2023
- [j52]Angela Lombardi
, Francesca Arezzo, Eugenio Di Sciascio, Carmelo Ardito, Michele Mongelli, Nicola Di Lillo, Fabiana Divina Fascilla, Erica Silvestris, Anila Kardhashi, Carmela Putino, Ambrogio Cazzolla, Vera Loizzi, Gerardo Cazzato
, Gennaro Cormio, Tommaso Di Noia:
A human-interpretable machine learning pipeline based on ultrasound to support leiomyosarcoma diagnosis. Artif. Intell. Medicine 146: 102697 (2023) - [j51]Tommaso Di Noia, In-Young Ko, Markus Schedl:
Introduction to the ICWE 2022 Special Issue. J. Web Eng. 22(1): v-viii (2023) - [j50]Antonio Ferrara
, Vito Walter Anelli
, Alberto Carlo Maria Mancino
, Tommaso Di Noia
, Eugenio Di Sciascio
:
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs. Trans. Recomm. Syst. 1(4): 1-30 (2023) - [c252]Adam Przybylek
, Aleksandra Karpus
, Allel Hadjali
, Anton Dignös
, Carmem S. Hara
, Danae Pla Karidi
, Ester Zumpano
, Fabio Persia
, Genoveva Vargas-Solar
, George Papastefanatos
, Giancarlo Sperlì
, Giorgos Giannopoulos
, Ivan Lukovic
, Julien Aligon
, Manolis Terrovitis
, Marek Grzegorowski
, Mariella Bonomo
, Mirian Halfeld Ferrari Alves
, Nicolas Labroche
, Paul Monsarrat, Richard Chbeir
, Sana Sellami
, Seshu Tirupathi
, Simona E. Rombo
, Slavica Kordic
, Sonja Ristic
, Tommaso Di Noia
, Torben Bach Pedersen
, Vincenzo Moscato
:
Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. ADBIS (Short Papers) 2023: 293-311 - [c251]Simona Colucci, Tommaso Di Noia, Francesco M. Donini, Claudio Pomo, Eugenio Di Sciascio:
Irrelevant Explanations: a Logical Formalization and a Case Study. XAI.it@AI*IA 2023: 67-75 - [c250]Vincenzo Paparella
, Vito Walter Anelli
, Franco Maria Nardini
, Raffaele Perego
, Tommaso Di Noia
:
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CIKM 2023: 2013-2023 - [c249]Angela Lombardi, Maria Luigia Natalia De Bonis, Giuseppe Fasano, Alessia Sportelli, Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia:
Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023. CLEF (Working Notes) 2023: 1272-1285 - [c248]Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia:
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT. ECAI Workshops (1) 2023: 382-397 - [c247]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 - [c246]Potito Aghilar
, Vito Walter Anelli, Michelantonio Trizio, Tommaso Di Noia:
Scalable Cloud-Native Pipeline for Efficient 3D Model Reconstruction from Monocular Smartphone Images. ECSA 2023: 266-282 - [c245]Tommaso Colafiglio
, Domenico Lofù, Paolo Sorino
, Fabrizio Festa
, Tommaso Di Noia, Eugenio Di Sciascio:
Exploring the Mental State Intersection by Brain-Computer Interfaces, Cellular Automata and Biofeedback. EUROCON 2023: 461-466 - [c244]Dario Di Palma, Vito Walter Anelli, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo, Yashar Deldjoo, Tommaso Di Noia:
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective. IIR 2023: 79-84 - [c243]Tommaso Colafiglio, Paolo Sorino, Angela Lombardi, Domenico Lofù, Tommaso Di Noia:
Predicting Human Emotions using EEG-based Brain computer Interface and Interpretable Machine Learning. Ital-IA 2023: 200-205 - [c242]Vito Walter Anelli, Eros Brienza, Marco Recupero, Francesco Greco, Andrea De Maria, Tommaso Di Noia, Eugenio Di Sciascio:
Navigating the Legal Landscape: Developing Italy's Official Legal Knowledge Graph for Enhanced Legislative and Public Services. Ital-IA 2023: 223-228 - [c241]Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Carmelo Ardito, Eugenio Di Sciascio:
Smart Electrical Grids Under the Lens of Adversarial Attacks. Ital-IA 2023: 616-621 - [c240]Vincenzo Paparella, Alberto Carlo Maria Mancino, Antonio Ferrara, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia:
Knowledge Graph Datasets for Recommendation. KaRS@RecSys 2023: 109-117 - [c239]Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia:
Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems. EvalRS@KDD 2023 - [c238]Daniele Malitesta
, Giuseppe Gassi
, Claudio Pomo
, Tommaso Di Noia
:
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation. ACM Multimedia 2023: 9668-9671 - [c237]Daniele Malitesta
, Giandomenico Cornacchia
, Claudio Pomo
, Tommaso Di Noia
:
On Popularity Bias of Multimodal-aware Recommender Systems: A Modalities-driven Analysis. MMIR@MM 2023: 59-68 - [c236]Vito Walter Anelli
, Daniele Malitesta
, Claudio Pomo
, Alejandro Bellogín
, Eugenio Di Sciascio
, Tommaso Di Noia
:
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. RecSys 2023: 350-361 - [c235]Vincenzo Paparella
, Vito Walter Anelli
, Ludovico Boratto
, Tommaso Di Noia
:
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. RecSys 2023: 467-478 - [c234]Alberto Carlo Maria Mancino
, Antonio Ferrara
, Salvatore Bufi
, Daniele Malitesta
, Tommaso Di Noia
, Eugenio Di Sciascio
:
KGTORe: Tailored Recommendations through Knowledge-aware GNN Models. RecSys 2023: 576-587 - [c233]Vincenzo Paparella
, Dario Di Palma
, Vito Walter Anelli
, Tommaso Di Noia
:
Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy. RecSys 2023: 1139-1145 - [c232]Alessandro De Bellis, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Semantic Interpretation of BERT Embeddings with Knowledge Graphs. SEBD 2023: 181-191 - [c231]Felice Antonio Merra
, Vito Walter Anelli
, Tommaso Di Noia
, Daniele Malitesta
, Alberto Carlo Maria Mancino
:
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries. SIGIR 2023: 1924-1928 - [c230]Paolo Sorino
, Vincenzo Paparella, Domenico Lofù, Tommaso Colafiglio, Eugenio Di Sciascio, Fedelucio Narducci, Rodolfo Sardone, Tommaso Di Noia:
A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment Prediction. SMC 2023: 3822-3827 - [c229]Tommaso Colafiglio, Paolo Sorino
, Domenico Lofù, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia:
Combining Mental States Recognition and Machine Learning for Neurorehabilitation. SMC 2023: 3848-3853 - [c228]Daniele Malitesta
, Claudio Pomo
, Vito Walter Anelli
, Tommaso Di Noia
, Antonio Ferrara
:
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework. UMAP (Adjunct Publication) 2023: 12-15 - [e15]Jie Zhang, Li Chen, Shlomo Berkovsky, Min Zhang, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song:
Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023. ACM 2023 [contents] - [i38]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) - [i37]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) - [i36]Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia:
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CoRR abs/2306.12165 (2023) - [i35]Daniele Malitesta, Giuseppe Gassi, Claudio Pomo
, Tommaso Di Noia:
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation. CoRR abs/2306.17125 (2023) - [i34]Vito Walter Anelli, Daniele Malitesta, Claudio Pomo
, Alejandro Bellogín, Tommaso Di Noia, Eugenio Di Sciascio:
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. CoRR abs/2308.00404 (2023) - [i33]Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia:
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT. CoRR abs/2308.09731 (2023) - [i32]Daniele Malitesta, Claudio Pomo
, Vito Walter Anelli, Alberto Carlo Maria Mancino, Eugenio Di Sciascio, Tommaso Di Noia:
A Topology-aware Analysis of Graph Collaborative Filtering. CoRR abs/2308.10778 (2023) - [i31]Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo
, Tommaso Di Noia:
On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis. CoRR abs/2308.12911 (2023) - [i30]Dario Di Palma
, Giovanni Maria Biancofiore
, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio:
Evaluating ChatGPT as a Recommender System: A Rigorous Approach. CoRR abs/2309.03613 (2023) - [i29]Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo
, Felice Antonio Merra, Tommaso Di Noia, Eugenio Di Sciascio:
Formalizing Multimedia Recommendation through Multimodal Deep Learning. CoRR abs/2309.05273 (2023) - [i28]Daniele Malitesta, Claudio Pomo
, Tommaso Di Noia:
Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation. CoRR abs/2310.11270 (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) - [c227]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 - [c226]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 - [c225]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 - [c224]Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo:
Towards a theoretical formalization of conversational recommendation. CIKM Workshops 2022 - [c223]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 - [c222]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 - [c221]Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
Leveraging Content-Style Item Representation for Visual Recommendation. ECIR (2) 2022: 84-92 - [c220]Alberto Carlo Maria Mancino
, Tommaso Di Noia:
Towards Differentially Private Machine Learning Models and Their Robustness to Adversaries. ICWE 2022: 455-461 - [c219]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 - [c218]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 - [c217]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 - [c216]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 - [c215]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 - [c214]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 - [c213]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 - [c212]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 - [c211]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]