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ORCIDTommaso Di Noia
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- affiliation: Polytechnic University of Bari, Italy
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2020 – today
- 2025
[j58]Tommaso Colafiglio
, Angela Lombardi, Tommaso Di Noia, Maria Luigia Natalia De Bonis, Fedelucio Narducci, Alice Mado Proverbio:
Machine learning classification of motivational states: Insights from EEG analysis of perception and imagery. Expert Syst. Appl. 275: 127076 (2025)- [c276]Antonio Ferrara, Angela Di Fazio, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio:
Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism. ECIR (3) 2025: 34-51 - [c275]Giuseppe Fasano, Yashar Deldjoo, Tommaso Di Noia:
AirTOWN: A Privacy-Preserving Mobile App for Real-Time Pollution-Aware POI Suggestion. ECIR (5) 2025: 35-40 - [c274]Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia:
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems. ECIR (4) 2025: 239-251 - [i56]Robin Burke, Gediminas Adomavicius, Toine Bogers, Tommaso Di Noia, Dominik Kowald, Julia Neidhardt, Özlem Özgöbek, Maria Soledad Pera, Nava Tintarev, Jürgen Ziegler:
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems. CoRR abs/2501.05170 (2025) - [i55]Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia:
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems. CoRR abs/2501.11759 (2025) - [i54]Giuseppe Fasano, Yashar Deldjoo, Tommaso Di Noia:
AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion. CoRR abs/2501.13608 (2025) - [i53]Potito Aghilar, Vito Walter Anelli, Michelantonio Trizio, Tommaso Di Noia:
Training-Free Consistency Pipeline for Fashion Repose. CoRR abs/2501.13692 (2025) - [i52]Giuseppe Fasano, Yashar Deldjoo, Tommaso Di Noia, Bianca Lau, Sina Adham-Khiabani, Eric Morris, Xia Liu, G. Chinna R. Devarapu, Liam O'Faolain:
Use of Air Quality Sensor Network Data for Real-time Pollution-Aware POI Suggestion. CoRR abs/2502.09155 (2025) - 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) - [c273]Giuseppe Fasano, Maria Luigia Natalia De Bonis, Angela Lombardi, Carmelo Ardito, Eugenio Di Sciascio, Tommaso Di Noia:
BRAINEX: A Systematic Framework for CNN Models Evaluation and XAI Methods Comparison in Brain Age Prediction. BI (1) 2024: 256-269 - [c272]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 - [c271]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 - [c270]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 - [c269]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 - [c268]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 - [c267]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 - [c266]Matteo Attimonelli, Claudio Pomo, Dietmar Jannach, Tommaso Di Noia:
Toward Effective Fashion Item Compatibility Modelling. IIR 2024: 111-114 - [c265]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 - [c264]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 - [c263]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 - [c262]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 - [c261]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 - [c260]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 - [c259]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 - [c258]Paolo Sorino, Gianluca Colonna, Domenico Lofù, Tommaso Colafiglio, Angela Lombardi, Fedelucio Narducci, Tommaso Di Noia:
An Explainable Machine Learning Approach for Heartbeat Classification Through Signal-Based Features. SMC 2024: 1-6 - [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]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) - [c210]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 - [c209]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 - [c208]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 - [c207]Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. FLAIRS 2021 - [c206]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 - [c205]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 - [c204]Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore:
GUapp: Enhancing Job Recommendations with Knowledge Graphs. IIR 2021 - [c203]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 - [c202]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 - [c201]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 - [c200]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 - [c199]Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Gaetano Pernisco, Vito Renò, Ettore Stella:
Towards Improving Car Point-Cloud Tracking Via Detection Updates. IPMV 2021: 30-34 - [c198]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 - [c197]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 - [c196]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Daniele Malitesta, Felice Antonio Merra:
Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity. OHARS@RecSys 2021: 33-44 - [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]Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Assessing the Impact of a User-Item Collaborative Attack on Class of Users. CoRR abs/1908.07968 (2019) - [i8]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. CoRR abs/1909.02523 (2019) - [i7]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. CoRR abs/1909.05038 (2019) - 2018
- [c159]Francesco Nocera, Marina Mongiello, Eugenio Di Sciascio, Tommaso Di Noia:
MoSAIC: a middleware-induced software archIteCture design decision support system. ECSA (Companion) 2018: 5:1-5:4 - [c158]Tommaso Di Noia, Corrado Magarelli, Andrea Maurino, Matteo Palmonari, Anisa Rula:
Using Ontology-Based Data Summarization to Develop Semantics-Aware Recommender Systems. ESWC 2018: 128-144 - [c157]Vito Bellini, Tommaso Di Noia, Marina Mongiello, Francesco Nocera, Angelo Parchitelli, Eugenio Di Sciascio:
Reflective Internet of Things Middleware-Enabled a Predictive Real-Time Waste Monitoring System. ICWE 2018: 375-383 - [c156]Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Pasquale Lops, Joseph Trotta:
Moving from Item Rating to Features Relevance in Top-N Recommendation. IIR 2018 - [c155]Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio, Angelo Schiavone:
Exploiting Knowledge Graphs for Auto-Encoding User Ratings in Recommender Systems. IIR 2018 - [c154]Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Computing Recommendations via a Knowledge Graph-aware Autoencoder. KaRS@RecSys 2018: 9-15 - [c153]Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Knowledge-aware Autoencoders for Explainable Recommender Systems. DLRS@RecSys 2018: 24-31 - [c152]Vito Walter Anelli, Pierpaolo Basile, Derek G. Bridge, Tommaso Di Noia, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Markus Zanker:
Knowledge-aware and conversational recommender systems. RecSys 2018: 521-522 - [c151]Vito Walter Anelli, Tommaso Di Noia, Andrea Maurino, Matteo Palmonari, Anisa Rula:
Ontology-based Linked Data Summarization in Semantics-aware Recommender Systems. SEBD 2018 - [c150]Giuliano Armano, Sebastiano Battiato, Davide Bennato, Ludovico Boratto, Salvatore M. Carta, Tommaso Di Noia, Eugenio Di Sciascio, Alessandro Ortis, Diego Reforgiato Recupero:
NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system. SEBD 2018 - [c149]Andrea Calì, Tommaso Di Noia, Thomas Walker Lynch, Azzurra Ragone:
Processing SPARQL Queries on Deep Web Sources. SEBD 2018 - [e9]Sonia Bergamaschi, Tommaso Di Noia, Andrea Maurino:
Proceedings of the 26th Italian Symposium on Advanced Database Systems, Castellaneta Marina (Taranto), Italy, June 24-27, 2018. CEUR Workshop Proceedings 2161, CEUR-WS.org 2018 [contents] - [r2]Tommaso Di Noia, Paolo Tomeo:
Recommender Systems Based on Linked Open Data. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i6]Vito Walter Anelli, Joseph Trotta, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone:
Time and Local Popularity in top-N Recommendation. CoRR abs/1807.04204 (2018) - [i5]Vito Walter Anelli, Joseph Trotta, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone:
The importance of being dissimilar in Recommendation. CoRR abs/1807.04207 (2018) - [i4]Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Computing recommendations via a Knowledge Graph-aware Autoencoder. CoRR abs/1807.05006 (2018) - [i3]Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Knowledge-aware Autoencoders for Explainable Recommender Sytems. CoRR abs/1807.06300 (2018) - 2017
- [j31]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello, Francesco Nocera:
Formal model for user-centred adaptive mobile devices. IET Softw. 11(4): 156-164 (2017) - [j30]Paolo Tomeo, Ignacio Fernández-Tobías, Iván Cantador, Tommaso Di Noia:
Addressing the Cold Start with Positive-Only Feedback Through Semantic-Based Recommendations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(Supplement-2): 57-78 (2017) - [j29]Tommaso Di Noia, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio:
Adaptive multi-attribute diversity for recommender systems. Inf. Sci. 382-383: 234-253 (2017) - [j28]Tommaso Di Noia, Dietmar Jannach:
Preface to the Special Issue on Recommender Systems. J. Data Semant. 6(1): 1 (2017) - [j27]Sergio Oramas, Vito Claudio Ostuni, Tommaso Di Noia, Xavier Serra, Eugenio Di Sciascio:
Sound and Music Recommendation with Knowledge Graphs. ACM Trans. Intell. Syst. Technol. 8(2): 21:1-21:21 (2017) - [c148]Francesco Nocera, Tommaso Di Noia, Marina Mongiello, Eugenio Di Sciascio:
Semantic IoT Middleware-enabled Mobile Complex Event Processing for Integrated Pest Management. CLOSER 2017: 610-617 - [c147]Aleksandra Karpus, Tommaso Di Noia, Krzysztof Goczyla:
Top k Recommendations using Contextual Conditional Preferences Model. FedCSIS 2017: 19-28 - [c146]Corrado Magarelli, Azzurra Ragone, Paolo Tomeo, Tommaso Di Noia, Matteo Palmonari, Andrea Maurino, Eugenio Di Sciascio:
Schema-aware Feature Selection in Linked Data-based Recommender Systems. IIR 2017: 67-71 - [c145]Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio:
On the Role of Time and Sessions in Diversifying Recommendation Results. IIR 2017: 92-96 - [c144]Phuong T. Nguyen, Kai Eckert, Azzurra Ragone, Tommaso Di Noia:
Modification to K-Medoids and CLARA for Effective Document Clustering. ISMIS 2017: 481-491 - [c143]Marina Mongiello, Luigi Patrono, Tommaso Di Noia, Francesco Nocera, Angelo Parchitelli, Ilaria Sergi, Piercosimo Rametta:
A Complex Event Processing based smart aid system for fire and danger management. IWASI 2017: 44-49 - [c142]Tommaso Di Noia:
Knowledge-enabled Recommender Systems: Models, Challenges, Solutions. KDWeb 2017 - [c141]Stefano Bistarelli, Tommaso Di Noia, Marina Mongiello, Francesco Nocera:
PrOnto: an Ontology Driven Business Process Mining Tool. KES 2017: 306-315 - [c140]Vito Walter Anelli, Tommaso Di Noia, Pasquale Lops, Eugenio Di Sciascio:
Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance. RecSysKTL 2017: 16-21 - [c139]Vito Bellini, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio:
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios. DLRS@RecSys 2017: 60-66 - [c138]Azzurra Ragone, Paolo Tomeo, Corrado Magarelli, Tommaso Di Noia, Matteo Palmonari, Andrea Maurino, Eugenio Di Sciascio:
Schema-summarization in linked-data-based feature selection for recommender systems. SAC 2017: 330-335 - [c137]Andrea Calì, Giuseppe De Santis, Tommaso Di Noia, Nicola Mincuzzi:
Exposing the Deep Web in the Linked Data Cloud. SEBD 2017: 106 - [c136]Angelo Parchitelli, Francesco Nocera, Giorgio Iacobellis, Marina Mongiello, Tommaso Di Noia, Eugenio Di Sciascio:
A pre-process clustering methods for the waste collection problem. SOLI 2017: 242-247 - [c135]Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio:
An Analysis on Time- and Session-aware Diversification in Recommender Systems. UMAP 2017: 270-274 - [c134]Vito Walter Anelli, Vito Bellini, Andrea Calì, Giuseppe De Santis, Tommaso Di Noia, Eugenio Di Sciascio:
Querying deep web data sources as linked data. WIMS 2017: 32:1-32:7 - [c133]Ester Pantaleo, Vito Walter Anelli, Tommaso Di Noia, Gilles Sérasset:
Etytree: A Graphical and Interactive Etymology Dictionary based on Wiktionary. WWW (Companion Volume) 2017: 1635-1640 - [e8]Fabio Crestani, Tommaso Di Noia, Raffaele Perego:
Proceedings of the 8th Italian Information Retrieval Workshop, Lugano, Switzerland, June 05-07, 2017. CEUR Workshop Proceedings 1911, CEUR-WS.org 2017 [contents] - [i2]Vito Bellini, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio:
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios. CoRR abs/1706.07956 (2017) - 2016
- [j26]Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio, Roberto Mirizzi, Claudio Bartolini:
Building a relatedness graph from Linked Open Data: A case study in the IT domain. Expert Syst. Appl. 44: 354-366 (2016) - [j25]Attilio Di Nisio, Tommaso Di Noia, Carlo Guarnieri Calo Carducci, Maurizio Spadavecchia:
High Dynamic Range Power Consumption Measurement in Microcontroller-Based Applications. IEEE Trans. Instrum. Meas. 65(9): 1968-1976 (2016) - [j24]Tommaso Di Noia, Vito Claudio Ostuni, Paolo Tomeo, Eugenio Di Sciascio:
SPrank: Semantic Path-Based Ranking for Top-N Recommendations Using Linked Open Data. ACM Trans. Intell. Syst. Technol. 8(1): 9:1-9:34 (2016) - [c132]Paolo Tomeo, Ignacio Fernández-Tobías, Tommaso Di Noia, Iván Cantador:
Exploiting Linked Open Data in Cold-start Recommendations with Positive-only Feedback. CERI 2016: 11 - [c131]Vittoria Cozza, Wanda La Bruna, Tommaso Di Noia:
sisinflab: an Ensemble of Supervised and Unsupervised Strategies for the NEEL-IT Challenge at Evalita 2016. CLiC-it/EVALITA 2016 - [c130]Tommaso Di Noia, Azzurra Ragone, Andrea Maurino, Marina Mongiello, Maria Paola Marzocca, Giuseppe Cultrera, Mauro Paolo Bruno:
Linking data in digital libraries: the case of Puglia Digital Library. WHiSe@ESWC 2016: 27-38 - [c129]Aleksandra Karpus, Tommaso Di Noia, Paolo Tomeo, Krzysztof Goczyla:
Rating Prediction with Contextual Conditional Preferences. KDIR 2016: 419-424 - [c128]Cinzia Cappiello, Tommaso Di Noia, Bogdan Alexandru Marcu, Maristella Matera:
A Quality Model for Linked Data Exploration. ICWE 2016: 397-404 - [c127]Tommaso Di Noia:
Recommender Systems Meet Linked Open Data. ICWE 2016: 620-623 - [c126]Vito Walter Anelli, Andrea Calì, Tommaso Di Noia, Matteo Palmonari, Azzurra Ragone:
Exposing Open Street Map in the Linked Data Cloud. IEA/AIE 2016: 344-355 - [c125]Jessica Rosati, Petar Ristoski, Tommaso Di Noia, Renato De Leone, Heiko Paulheim:
RDF Graph Embeddings for Content-based Recommender Systems. CBRecSys@RecSys 2016: 23-30 - [c124]Ignacio Fernández-Tobías, Paolo Tomeo, Iván Cantador, Tommaso Di Noia, Eugenio Di Sciascio:
Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback. RecSys 2016: 119-122 - [c123]Marina Mongiello, Tommaso Di Noia, Francesco Nocera, Eugenio Di Sciascio:
Case-based reasoning and knowledge-graph based metamodel for runtime adaptive architectural modeling. SAC 2016: 1323-1328 - [c122]Tommaso Di Noia, Marina Mongiello, Francesco Nocera, Eugenio Di Sciascio:
Persistence on different databases via reflective IoT Middleware. SEBD 2016: 182-189 - [c121]Vito Walter Anelli, Andrea Calì, Tommaso Di Noia, Andrea Maurino, Matteo Palmonari, Azzurra Ragone:
Exposing Open Street Map in the Linked Data cloud. SEBD 2016: 302-309 - [c120]Marina Mongiello, Tommaso Di Noia, Francesco Nocera, Eugenio Di Sciascio, Angelo Parchitelli:
Context-Aware Design of Reflective Middleware in the Internet of Everything. STAF Workshops 2016: 423-435 - [c119]Tommaso Di Noia, Marina Mongiello, Francesco Nocera, Eugenio Di Sciascio:
Ontology-based Reflective Iot Middleware-Enabled Agriculture Decision Support System. SWAT4LS 2016 - 2015
- [j23]M. Diciolla, Giulio Binetti, Tommaso Di Noia, Francesco Pesce, Francesco Paolo Schena, A. M. Vågane, R. Bjørneklett, H. Suzuki, Y. Tomino, David Naso:
Patient classification and outcome prediction in IgA nephropathy. Comput. Biol. Medicine 66: 278-286 (2015) - [c118]Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio:
Adaptive Diversity in Recommender Systems. IIR 2015 - [c117]Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martínez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Combining Existential Rules with the Power of CP-Theories. IJCAI 2015: 2918-2925 - [c116]Tommaso Di Noia, Marina Mongiello, Eugenio Di Sciascio:
Model Checking Based Query and Retrieval in OpenStreetMap. ISMIS 2015: 208-213 - [c115]Attilio Di Nisio, Tommaso Di Noia, Carlo Guarnieri Calo Carducci, Maurizio Spadavecchia:
Design of a low cost multipurpose wireless sensor network. M&N 2015: 1-6 - [c114]Jindrich Mynarz, Vojtech Svátek, Tommaso Di Noia:
Matchmaking Public Procurement Linked Open Data. OTM Conferences 2015: 405-422 - [c113]Jessica Rosati, Tommaso Di Noia, Thomas Lukasiewicz, Renato De Leone, Andrea Maurino:
Preference Queries with Ceteris Paribus Semantics for Linked Data. OTM Conferences 2015: 423-442 - [c112]Paolo Tomeo, Tommaso Di Noia, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Eugenio Di Sciascio:
Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity. CBRecSys@RecSys 2015: 2-9 - [c111]Tommaso Di Noia, Vito Claudio Ostuni:
Recommender Systems and Linked Open Data. Reasoning Web 2015: 88-113 - [c110]Marina Mongiello, Tommaso Di Noia, Eugenio Di Sciascio:
A Temporal Logic-based approach to query Open Street Map. SEBD 2015: 96-103 - [c109]Tommaso Di Noia, Marina Mongiello, Umberto Straccia:
Fuzzy Description Logics for Component Selection in Software Design. SEFM Workshops 2015: 228-239 - [c108]Phuong T. Nguyen, Paolo Tomeo, Tommaso Di Noia, Eugenio Di Sciascio:
Content-Based Recommendations via DBpedia and Freebase: A Case Study in the Music Domain. ISWC (1) 2015: 605-621 - [c107]Tommaso Di Noia:
LOSM: a SPARQL Endpoint to Query Open Street Map. ISWC (Posters & Demos) 2015 - [c106]Vito Claudio Ostuni, Tommaso Di Noia, Eugenio Di Sciascio, Sergio Oramas, Xavier Serra:
A Semantic Hybrid Approach for Sound Recommendation. WWW (Companion Volume) 2015: 85-86 - [c105]Phuong T. Nguyen, Paolo Tomeo, Tommaso Di Noia, Eugenio Di Sciascio:
An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data. WWW (Companion Volume) 2015: 1477-1482 - 2014
- [c104]Andrea Calì, Roberto De Virgilio, Tommaso Di Noia, Luca Menichetti, Roberto Mirizzi, Luca Nardini, Vito Claudio Ostuni, Fabrizio Rebecca, Marco Ungania:
Semantic Search in RealFoodTrade. AMW 2014 - [c103]Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Computing k-Rank Answers with Ontological CP-Nets. PRUV 2014: 74-87 - [c102]Tommaso Di Noia, Marina Mongiello, Eugenio Di Sciascio:
A Computational Model for Mapreduce Job Flow. CILC 2014: 335-340 - [c101]Tommaso Di Noia, Marina Mongiello, Eugenio Di Sciascio:
Ontology-Driven Pattern Selection and Matching in Software Design. ECSA 2014: 82-89 - [c100]Vito Claudio Ostuni, Tommaso Di Noia, Roberto Mirizzi, Eugenio Di Sciascio:
A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel. EC-Web 2014: 89-100 - [c99]Tommaso Di Noia, Iván Cantador, Vito Claudio Ostuni:
Linked Open Data-Enabled Recommender Systems: ESWC 2014 Challenge on Book Recommendation. SemWebEval@ESWC 2014: 129-143 - [c98]Vito Claudio Ostuni, Tommaso Di Noia, Roberto Mirizzi, Eugenio Di Sciascio:
Top-N Recommendations from Implicit Feedback Leveraging Linked Open Data. IIR 2014: 20-27 - [c97]Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio:
An analysis of users' propensity toward diversity in recommendations. RecSys 2014: 285-288 - [c96]Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Computing k-rank answers with Ontological CP-Nets. SEBD 2014: 276-283 - [c95]Tommaso Di Noia, Marina Mongiello, Eugenio Di Sciascio:
A semantic-based framework for non-functional requirements and design patterns classification. SEBD 2014: 386-393 - [c94]Roberto De Virgilio, Andrea Calì, Tommaso Di Noia:
How to find the best fish market in Sorrento? SEBD 2014: 394-398 - [c93]Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Ontological CP-Nets. URSW (LNCS Vol.) 2014: 289-308 - [e7]Valentina Presutti, Milan Stankovic, Erik Cambria, Iván Cantador, Angelo Di Iorio, Tommaso Di Noia, Christoph Lange, Diego Reforgiato Recupero, Anna Tordai:
Semantic Web Evaluation Challenge - SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers. Communications in Computer and Information Science 475, Springer 2014, ISBN 978-3-319-12023-2 [contents] - 2013
- [j22]Tommaso Di Noia, Vito Claudio Ostuni, Francesco Pesce, Giulio Binetti, David Naso, Francesco Paolo Schena, Eugenio Di Sciascio:
An end stage kidney disease predictor based on an artificial neural networks ensemble. Expert Syst. Appl. 40(11): 4438-4445 (2013) - [c92]Vito Claudio Ostuni, Giosia Gentile, Tommaso Di Noia, Roberto Mirizzi, Davide Romito, Eugenio Di Sciascio:
Mobile Movie Recommendations with Linked Data. CD-ARES 2013: 400-415 - [c91]Tommaso Di Noia, Thomas Lukasiewicz:
Combining CP-Nets with the Power of Ontologies. AAAI (Late-Breaking Developments) 2013 - [c90]Tommaso Di Noia, Thomas Lukasiewicz, Gerardo I. Simari:
Reasoning with DL-based CP-nets. Description Logics 2013: 640-651 - [c89]Vito Claudio Ostuni, Tommaso Di Noia, Eugenio Di Sciascio, Roberto Mirizzi:
Top-N recommendations from implicit feedback leveraging linked open data. RecSys 2013: 85-92 - [c88]Marco de Gemmis, Tommaso Di Noia, Ora Lassila, Pasquale Lops, Thomas Lukasiewicz, Giovanni Semeraro:
Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013. RecSys 2013: 483-484 - [c87]Tommaso Di Noia, Thomas Lukasiewicz:
On Ontologies and CP-Nets. SEBD 2013: 43-50 - [c86]Tommaso Di Noia, Thomas Lukasiewicz, Gerardo I. Simari:
Reasoning with Semantic-Enabled Qualitative Preferences. SUM 2013: 374-386 - [e6]Marta Sabou, Eva Blomqvist, Tommaso Di Noia, Harald Sack, Tassilo Pellegrini:
I-SEMANTICS 2013 - 9th International Conference on Semantic Systems, I-SEMANTICS '13, Graz, Austria, September 4-6, 2013. ACM 2013, ISBN 978-1-4503-1972-0 [contents] - 2012
- [j21]Ebrahim Bagheri, Tommaso Di Noia, Dragan Gasevic, Azzurra Ragone:
Formalizing interactive staged feature model configuration. J. Softw. Evol. Process. 24(4): 375-400 (2012) - [c85]Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, Davide Romito, Markus Zanker:
Linked open data to support content-based recommender systems. I-SEMANTICS 2012: 1-8 - [c84]Roberto Mirizzi, Tommaso Di Noia, Azzurra Ragone, Vito Claudio Ostuni, Eugenio Di Sciascio:
Movie Recommendation with DBpedia. IIR 2012: 101-112 - [c83]Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, Davide Romito:
Exploiting the web of data in model-based recommender systems. RecSys 2012: 253-256 - [c82]Tommaso Di Noia:
Semantic Matchmaking and Ranking: Beyond Deduction in Retrieval Scenarios. RR 2012: 5-8 - [c81]Roberto Mirizzi, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone:
Web 3.0 in action: Vector Space Model for semantic (movie) Recommendations. SAC 2012: 403-405 - [c80]Vito Claudio Ostuni, Tommaso Di Noia, Roberto Mirizzi, Davide Romito, Eugenio Di Sciascio:
Cinemappy: a Context-aware Mobile App for Movie Recommendations boosted by DBpedia. SeRSy 2012: 37-48 - [c79]Tommaso Di Noia, Thomas Lukasiewicz:
Introducing Ontological CP-Nets. URSW 2012: 90-93 - [p2]Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio:
A Recommender System for Linked Data. Semantic Search over the Web 2012: 311-331 - [e5]Marco de Gemmis, Tommaso Di Noia, Pasquale Lops, Thomas Lukasiewicz, Giovanni Semeraro:
Proceedings of the International Workshop on Semantic Technologies meet Recommender Systems & Big Data, Boston, USA, November 11, 2012. CEUR Workshop Proceedings 919, CEUR-WS.org 2012 [contents] - 2011
- [e4]Marco de Gemmis, Ernesto William De Luca, Tommaso Di Noia, Aldo Gangemi, Michael Hausenblas, Pasquale Lops, Thomas Lukasiewicz, Till Plumbaum, Giovanni Semeraro:
Proceedings of the second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation 2011, Bonn, Germany, October 24, 2011. CEUR Workshop Proceedings 781, CEUR-WS.org 2011 [contents] - [r1]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello:
Description Logic-Based Resource Retrieval. Encyclopedia of Knowledge Management 2011: 185-197 - [i1]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach. CoRR abs/1110.2742 (2011) - 2010
- [j20]Michele Ruta, Floriano Scioscia, Tommaso Di Noia, Eugenio Di Sciascio:
A hybrid ZigBee/Bluetooth approach to mobile semantic grids. Comput. Syst. Sci. Eng. 25(3) (2010) - [j19]Michele Ruta, Giammarco Zacheo, Luigi Alfredo Grieco, Tommaso Di Noia, Gennaro Boggia, Eufemia Tinelli, Pietro Camarda, Eugenio Di Sciascio:
Semantic-based resource discovery, composition and substitution in IEEE 802.11 mobile ad hoc networks. Wirel. Networks 16(5): 1223-1251 (2010) - [c78]Roberto Mirizzi, Tommaso Di Noia:
From exploratory search to web search and back. PIKM 2010: 39-46 - [c77]Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio:
Semantic tags generation and retrieval for online advertising. CIKM 2010: 1089-1098 - [c76]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Azzurra Ragone:
Second-Order Description Logics: Semantics, Motivation, and a Calculus. Description Logics 2010 - [c75]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Azzurra Ragone:
A Unified Framework for Non-standard Reasoning Services in Description Logics. ECAI 2010: 479-484 - [c74]Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio:
Semantic Tag Cloud Generation via DBpedia. EC-Web 2010: 36-48 - [c73]Tommaso Di Noia, Azzurra Ragone:
Electronic Markets, a Look Behind the Curtains: How Can Semantic Matchmaking and Negotiation Boost E-Commerce? EC-Web 2010: 241-252 - [c72]Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio:
Semantic Wonder Cloud: Exploratory Search in DBpedia. ICWE Workshops 2010: 138-149 - [c71]Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio:
Ranking the Linked Data: The Case of DBpedia. ICWE 2010: 337-354 - [c70]Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio:
Semantic tagging for crowd computing (Extended Abstract). SEBD 2010: 70-77 - [c69]Ebrahim Bagheri, Tommaso Di Noia, Azzurra Ragone, Dragan Gasevic:
Configuring Software Product Line Feature Models Based on Stakeholders' Soft and Hard Requirements. SPLC 2010: 16-31
2000 – 2009
- 2009
- [j18]Azzurra Ragone, Umberto Straccia, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Fuzzy matchmaking in e-marketplaces of peer entities using Datalog. Fuzzy Sets Syst. 160(2): 251-268 (2009) - [j17]Mirel Cosulschi, Roberto De Virgilio, Tommaso Di Noia, Roberto Mirizzi:
Web Information Extraction by Semantic Tagging. RITA 16(2): 77-78 (2009) - [c68]Michele Ruta, Floriano Scioscia, Tommaso Di Noia, Eugenio Di Sciascio, Giacomo Piscitelli:
Ubiquitous knowledge-based framework for RFID semantic discovery in smart u-Commerce environments. ICEC 2009: 9-18 - [c67]Azzurra Ragone, Tommaso Di Noia, Francesco M. Donini, Eugenio Di Sciascio, Michael P. Wellman:
Computing Utility from Weighted Description Logic Preference Formulas. DALT 2009: 158-173 - [c66]Francesco M. Donini, Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio:
A Tableaux-based Method for Computing Least Common Subsumers for Expressive Description Logics. Description Logics 2009 - [c65]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
A Tableaux-based calculus for Abduction in Expressive Description Logics: Preliminary Results. Description Logics 2009 - [c64]Umberto Straccia, Eufemia Tinelli, Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio:
A System for Retrieving Top-k Candidates to Job Positions. Description Logics 2009 - [c63]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Computing Information Minimal Match Explanations for Logic-Based Matchmaking. IAT 2009: 411-418 - [c62]Eufemia Tinelli, Antonio Cascone, Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
I.M.P.A.K.T.: An Innovative Semantic-based Skill Management System Exploiting Standard SQL. ICEIS (2) 2009: 224-229 - [c61]Francesco M. Donini, Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio:
A Tableaux-Based Method for Computing Least Common Subsumers for Expressive Description Logics. IJCAI 2009: 739-745 - [c60]Umberto Straccia, Eufemia Tinelli, Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio:
Semantic-Based Top-k Retrieval for Competence Management. ISMIS 2009: 473-482 - [c59]Michele Ruta, Floriano Scioscia, Tommaso Di Noia, Eugenio Di Sciascio:
RFID-based Semantic-enhanced Ubiquitous Decision Support System for Healthcare. IWRT 2009: 79-90 - [c58]Umberto Straccia, Eufemia Tinelli, Tommaso Di Noia, Eugenio Di Sciascio, Simona Colucci:
Top-k Retrieval for Automated Human Resource Management. SEBD 2009: 161-168 - [c57]Michele Ruta, Giammarco Zacheo, Luigi Alfredo Grieco, Tommaso Di Noia, Gennaro Boggia, Eufemia Tinelli, Pietro Camarda, Eugenio Di Sciascio:
Semantic-enabled Resource Discovery, Composition and Substitution in 802.11 Pervasive Environments. ICSC 2009: 503-508 - [c56]Roberto Mirizzi, Tommaso Di Noia, Eugenio Di Sciascio, Michelantonio Trizio:
A Semantic Web Enabled System for Résumé Composition and Publication. ICSC 2009: 583-588 - [c55]Azzurra Ragone, Tommaso Di Noia, Francesco M. Donini, Eugenio Di Sciascio, Michael P. Wellman:
Weighted Description Logics Preference Formulas for Multiattribute Negotiation. SUM 2009: 193-205 - [c54]Michele Ruta, Floriano Scioscia, Tommaso Di Noia, Eugenio Di Sciascio:
Reasoning in Pervasive Environments: An Implementation of Concept Abduction with Mobile OODBMS. Web Intelligence 2009: 145-148 - [p1]Simona Colucci, Tommaso Di Noia, Azzurra Ragone, Michele Ruta, Umberto Straccia, Eufemia Tinelli:
Informative Top-k Retrieval for Advanced Skill Management. Semantic Web Information Management 2009: 449-476 - [e3]Tommaso Di Noia, Francesco Buccafurri:
E-Commerce and Web Technologies, 10th International Conference, EC-Web 2009, Linz, Austria, September 1-4, 2009. Proceedings. Lecture Notes in Computer Science 5692, Springer 2009, ISBN 978-3-642-03963-8 [contents] - 2008
- [j16]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Logic-based automated multi-issue bilateral negotiation in peer-to-peer e-marketplaces. Auton. Agents Multi Agent Syst. 16(3): 249-270 (2008) - [j15]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Michele Ruta, Floriano Scioscia, Eufemia Tinelli:
Semantic-Based Bluetooth-RFID Interaction for Advanced Resource Discovery in Pervasive Contexts. Int. J. Semantic Web Inf. Syst. 4(1): 50-74 (2008) - [c53]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Giacomo Piscitelli, Floriano Scioscia:
A semantic-based mobile registry for dynamic RFID-based logistics support. ICEC 2008: 27:1-27:9 - [c52]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Increasing Bid Expressiveness for Effective and Balanced E-Barter Trading. DALT 2008: 128-142 - [c51]Azzurra Ragone, Umberto Straccia, Fernando Bobillo, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Fuzzy Description Logics for Bilateral Matchmaking in e-Marketplaces. Description Logics 2008 - [c50]Mario Benassi, Tommaso Di Noia, Alessandro Marino:
A Matchmaking Architecture to Support Innovation by Fostering Supply and Demand of Venture Capital. EC-Web 2008: 61-70 - [c49]Azzurra Ragone, Umberto Straccia, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Towards a Fuzzy Logic for Automated Multi-issue Negotiation. FoIKS 2008: 381-396 - [c48]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Floriano Scioscia:
A Semantic-Based Fully Visual Application for Context-Aware Matchmaking and Request Refinement in Ubiquitous Computing. ICCSA (2) 2008: 259-274 - [c47]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Giacomo Piscitelli, Floriano Scioscia:
A Semantic-Enabled Mobile Directory Service for RFID-Based Logistics Applications. ICEBE 2008: 333-340 - [c46]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Floriano Scioscia, Eufemia Tinelli:
A Ubiquitous Knowledge-based System to Enable RFID Object Discovery in Smart Environments. IWRT 2008: 87-100 - [c45]Azzurra Ragone, Umberto Straccia, Fernando Bobillo, Tommaso Di Noia, Eugenio Di Sciascio:
Fuzzy Bilateral Matchmaking in e-Marketplaces. KES (3) 2008: 293-301 - [c44]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Massimo Paolucci, Floriano Scioscia, Eufemia Tinelli:
A semantic-based registry enabling discovery, composition and substitution of pervasive services. MobiDE 2008: 63-70 - [c43]Azzurra Ragone, Umberto Straccia, Fernando Bobillo, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
A Fuzzy Description Logic Approach to Bilateral Matchmaking in Electronic Marketplaces. SEBD 2008: 211-222 - [c42]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Floriano Scioscia:
Match'n'Date: Semantic Matchmaking for Mobile Dating in P2P Environments. SMRR 2008 - [c41]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Floriano Scioscia:
Abduction and Contraction for Semantic-Based Mobile Dating in P2P Environments. Web Intelligence 2008: 626-632 - [e2]Rubén Lara Hernandez, Tommaso Di Noia, Ioan Toma:
Proceedings of the Second International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web, Karlsruhe, Germany, October 27, 2008. CEUR Workshop Proceedings 416, CEUR-WS.org 2008 [contents] - 2007
- [j14]Eugenio Di Sciascio, Francesco M. Donini, Tommaso Di Noia:
Introduction to the Special Issue: Semantic Matchmaking and Resource Retrieval on the Web. Int. J. Electron. Commer. 12(2): 5-9 (2007) - [j13]Simona Colucci, Tommaso Di Noia, Agnese Pinto, Michele Ruta, Azzurra Ragone, Eufemia Tinelli:
A Nonmonotonic Approach to Semantic Matchmaking and Request Refinement in E-Marketplaces. Int. J. Electron. Commer. 12(2): 127-154 (2007) - [j12]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Floriano Scioscia, Giacomo Piscitelli:
If objects could talk: a novel resource discovery approach for pervasive environments. Int. J. Internet Protoc. Technol. 2(3/4): 199-217 (2007) - [j11]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach. J. Artif. Intell. Res. 29: 269-307 (2007) - [j10]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Azzurra Ragone:
Semantic-based Skill Management for Automated Task Assignment and Courseware Composition. J. Univers. Comput. Sci. 13(9): 1184-1212 (2007) - [j9]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Simona Colucci, Francesco Colasuonno:
Fully Automated Web Services Discovery and Composition Through Concept Covering and Concept Abduction. Int. J. Web Serv. Res. 4(3): 85-112 (2007) - [j8]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Eufemia Tinelli, Francesco di Cugno, Azzurra Ragone:
Automated building blocks selection based on business processes semantics in ERPs. Serv. Oriented Comput. Appl. 1(3): 171-184 (2007) - [j7]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Semantic based collaborative P2P in ubiquitous computing. Web Intell. Agent Syst. 5(4): 375-391 (2007) - [c40]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Giacomo Piscitelli, Floriano Scioscia:
RFID meets bluetooth in a semantic based u-commerce environment. ICEC 2007: 107-116 - [c39]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Description Logics for Multi-Issue Bilateral Negotiation with Incomplete Information. AAAI 2007: 477-482 - [c38]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
When price is not enough: combining logical and numerical issues in bilateral negotiation. AAMAS 2007: 24 - [c37]Eufemia Tinelli, Tommaso Di Noia, Eugenio Di Sciascio, Francesco di Cugno:
Efficient Automatic Selection of Semantically-Annotated Building Blocks for ERPs Customizing. BIS 2007: 233-244 - [c36]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Extending Propositional Logic with Concrete Domains for Multi-issue Bilateral Negotiation. DALT 2007: 211-226 - [c35]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
DL-based Alternating-offers Protocol for Automated Multi-issue Bilateral Negotiation. Description Logics 2007 - [c34]Azzurra Ragone, Umberto Straccia, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Vague Knowledge Bases for Matchmaking in P2P E-Marketplaces. ESWC 2007: 414-428 - [c33]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Floriano Scioscia:
If Objects Could Talk: Semantic-Enhanced Radio-Frequency Identification. IWRT 2007: 25-34 - [c32]Pierpaolo Basile, Eufemia Tinelli, Marco Degemmis, Tommaso Di Noia, Giovanni Semeraro, Eugenio Di Sciascio:
Semantic Bayesian Profiling Services for Information Recommendation. KES (3) 2007: 711-719 - [c31]Azzurra Ragone, Umberto Straccia, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Extending Datalog for Matchmaking in P2P E-Marketplaces. SEBD 2007: 463-470 - [c30]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Alternating-Offers Protocol for Multi-issue Bilateral Negotiation in Semantic-Enabled Marketplaces. ISWC/ASWC 2007: 395-408 - [c29]Michele Ruta, Tommaso Di Noia, Floriano Scioscia, Eugenio Di Sciascio:
Semantic-enhanced EPCglobal Radio-Frequency IDentification. SWAP 2007 - [e1]Tommaso Di Noia, Rubén Lara, Axel Polleres, Ioan Toma, Takahiro Kawamura, Matthias Klusch, Abraham Bernstein, Massimo Paolucci, Alain Léger, David L. Martin:
Proceedings of the SMR2 2007 Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web (SMRR 2007) co-located with ISWC 2007 + ASWC 2007, Busan, South Korea, November 11, 2007. CEUR Workshop Proceedings 243, CEUR-WS.org 2007 [contents] - 2006
- [b1]Tommaso Di Noia:
Knowledge representation for E-commerce. Polytechnic University of Bari, Italy, 2006 - [j6]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Semantic-enhanced Bluetooth discovery protocol for m-commerce applications. Int. J. Web Grid Serv. 2(4): 424-452 (2006) - [j5]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Propositional-logic approach to one-shot multi issue bilateral negotiation. SIGecom Exch. 5(5): 11-21 (2006) - [c28]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Azzurra Ragone, Raffaele Rizzi:
A semantic-based fully visual application for matchmaking and query refinement in B2C e-marketplaces. ICEC 2006: 174-184 - [c27]Francesco di Cugno, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Eufemia Tinelli:
Semantic-Based Toolkit for Automated Building Block Composition in SAP R/3. CSMR 2006: 343-346 - [c26]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Azzurra Ragone, Raffaele Rizzi:
Explanation Services and Request Refinement in User Friendly Semantic-Enabled B2C E-Marketplaces. DEECS 2006: 13-27 - [c25]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
A Logic-Based Framework to Compute Pareto Agreements in One-Shot Bilateral Negotiation. ECAI 2006: 230-234 - [c24]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Editorial message: semantic-based resource discovery, retrieval and composition track. SAC 2006: 1662-1663 - [c23]Tommaso Di Noia, Eugenio Di Sciascio, Francesco di Cugno, Eufemia Tinelli, Francesco M. Donini:
A framework for content-based image retrieval fully exploiting the semantics of annotation. SAC 2006: 1709-1710 - [c22]Francesco di Cugno, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Agnese Pinto:
OwlEd: An Ontology Manager for MaMaS-tng. SEBD 2006: 175-186 - [c21]Francesco di Cugno, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone:
Concept Covering for Automated Building Blocks Selection based on Business Processes Semantics. CEC/EEE 2006: 11 - [c20]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Giacomo Piscitelli:
Ontology Driven Resource Discovery in Bluetooth Based M-Marketplace. CEC/EEE 2006: 76 - 2005
- [j4]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello:
Concept abduction and contraction for semantic-based discovery of matches and negotiation spaces in an e-marketplace. Electron. Commer. Res. Appl. 4(4): 345-361 (2005) - [c19]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Azzurra Ragone:
Knowledge elicitation for query refinement in a semantic-enabled e-marketplace. ICEC 2005: 685-691 - [c18]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Azzurra Ragone:
Semantic-Based Automated Composition of Distributed Learning Objects for Personalized E-Learning. ESWC 2005: 633-648 - [c17]Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Simona Colucci:
Fully Automated Web Services Orchestration in a Resource Retrieval Scenario. ICWS 2005: 427-434 - [c16]Stefano Coppi, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Agnese Pinto:
Ontology-Based Natural Language Parser for E-Marketplaces. IEA/AIE 2005: 279-289 - [c15]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Giacomo Piscitelli, Stefano Coppi:
Knowledge based approach to semantic composition of teams in an organization. SAC 2005: 1314-1319 - [c14]Simona Colucci, Stefano Coppi, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Agnese Pinto, Azzurra Ragone:
Semantic-Based Resource Retrieval using Non-Standard Inference Services in Description Logics. SEBD 2005: 232-239 - [c13]Michele Ruta, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Giacomo Piscitelli:
Semantic Based Collaborative P2P in Ubiquitous Computing. Web Intelligence 2005: 143-149 - [c12]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Azzurra Ragone, Simona Colucci:
Automated semantic web services orchestration via concept covering. WWW (Special interest tracks and posters) 2005: 1160-1161 - 2004
- [j3]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello:
A System for Principled Matchmaking in an Electronic Marketplace. Int. J. Electron. Commer. 8(4): 9-37 (2004) - [j2]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello, Giacomo Piscitelli:
Semantic-based Approach to Task Assignment of Individual Profiles. J. Univers. Comput. Sci. 10(6): 723-730 (2004) - [c11]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Marina Mongiello, Francesco M. Donini:
Concept abduction and contraction for semantic-based discovery of matches and negotiation spaces in an e-marketplace. ICEC 2004: 41-50 - [c10]Andrea Calì, Diego Calvanese, Simona Colucci, Tommaso Di Noia, Francesco M. Donini:
A Description Logic Based Approach for Matching User Profiles. Description Logics 2004 - [c9]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello:
A Uniform Tableaux-Based Approach to Concept Abduction and Contraction in ALN. Description Logics 2004 - [c8]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello:
A Uniform Tableaux-Based Method for Concept Abduction and Contraction in Description Logics. ECAI 2004: 975-976 - [c7]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini:
Extending Semantic-Based Matchmaking via Concept Abduction and Contraction. EKAW 2004: 307-320 - [c6]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello, Giacomo Piscitelli, Gianvito Rossi:
An Agency for Semantic-Based Automatic Discovery of Web Services. AIAI 2004: 315-328 - [c5]Andrea Calì, Diego Calvanese, Simona Colucci, Tommaso Di Noia, Francesco M. Donini:
A Logic-Based Approach for Matching User Profiles. KES 2004: 187-195 - 2003
- [j1]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello, Marco Mottola:
A Formal Approach to Ontology-Based Semantic Match of Skills Descriptions. J. Univers. Comput. Sci. 9(12): 1437-1454 (2003) - [c4]Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello:
Concept Abduction and Contraction in Description Logics. Description Logics 2003 - [c3]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello:
Abductive Matchmaking using Description Logics. IJCAI 2003: 337-342 - [c2]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello:
Semantic Matchmaking in a P-2-P Electronic Marketplace. SAC 2003: 582-586 - [c1]Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello:
A system for principled matchmaking in an electronic marketplace. WWW 2003: 321-330
Coauthor Index
[i53] [c268] [c265] [c263] [c262] [c261] [c259] [e17] [i45] [i43] [i40] [j50] [c250] [c247] [c246] [c244] [c242] [c240] [c236] [c235] [c233] [c232] [c231] [c228] [i36] [i34] [i32] [i30] [j43] [j41] [c227] [c226] [c219] [c218] [c217] [c215] [c214] [c211] [r3] [i26] [j39] [j38] [c210] [c208] [c207] [c206] [c205] [c197] [c196] [c195] [c194] [c193] [c192] [c191] [c190] [c188] [c187] [c185] [c184] [e13] [e12] [i23] [i22] [i21] [i20] [i19] [j37] [j36] [c182] [c179] [c176] [c173] [c172] [p3] [e11] [i16] [i15] [i14] [i13] [i12] [j32] [c169] [c168] [c167] [c166] [c165] [c164] [c162] [c161] [c160] [e10] [i11] [i10] [i8] [i7] [c156] [c152] [c151] [i6] [i5] [c145] [c140] [c139] [c135] [c134] [c133] [i2] [c126] [c121]
Alejandro Bellogín
aka: Alejandro Bellogín Kouki
aka: Alejandro Bellogín Kouki
[c275] [c274] [i55] [i54] [i52] [j54] [j53] [c263] [i50] [i47] [c248] [c247] [c244] [c241] [i37] [i33] [j48] [j47] [j46] [j43] [c226] [c225] [c221] [c217] [r3] [i27] [i24] [j40] [j38] [c210] [c209] [c208] [c207] [c203] [c199] [c190] [c188] [c187] [c185] [i21] [j37] [c179] [c176] [c173] [c172] [c171] [c170] [i17] [i16] [i15] [i13] [i12] [c169] [c164] [c163] [i11] [i10] [i9]
Francesco M. Donini
aka: Francesco Maria Donini
aka: Francesco Maria Donini
[e17] [c251] [j45] [c224] [c219] [c214] [j39] [c206] [c197] [c192] [c191] [c184] [e12] [i23] [i19] [i18] [j31] [r1] [i1] [c76] [c75] [j18] [c67] [c66] [c65] [c63] [c62] [c61] [c55] [j16] [j15] [c52] [c51] [c49] [c43] [j14] [j11] [j10] [j9] [j8] [j7] [c39] [c38] [c36] [c35] [c34] [c31] [c30] [j6] [j5] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [j4] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [j3] [j2] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [j1] [c4] [c3] [c2] [c1]
[c272] [c266] [c262] [c253] [i51] [i49] [i46] [i45] [i44] [i41] [i39] [c251] [c247] [c244] [c240] [c239] [c238] [c237] [c236] [c228] [i35] [i34] [i32] [i31] [i29] [i28] [j45] [c226] [c224] [c219] [c217] [c214] [c211] [i26] [c206] [c197] [c194] [c192] [c190] [c184] [i23] [i22] [i19] [i18] [c177] [c174] [c166] [c165] [i8]
[e17] [c232] [j41] [c167] [c166] [c165] [c162] [c161] [c160] [i8] [i7] [c154] [c153] [c149] [i6] [i5] [i4] [i3] [c146] [c144] [c138] [c130] [c126] [c121] [j21] [c84] [c81] [p2] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [j18] [c67] [c55] [p1] [j16] [c52] [c51] [c49] [c45] [c43] [j13] [j10] [j9] [j8] [c39] [c38] [c36] [c35] [c34] [c31] [c30] [j5] [c28] [c26] [c25] [c21] [c19] [c18] [c17] [c14] [c12]
[c276] [j57] [j56] [j55] [j53] [c273] [c271] [c264] [c263] [c262] [c259] [c255] [i48] [i47] [i45] [j52] [j50] [c251] [c249] [c245] [c242] [c241] [c236] [c234] [c232] [c230] [i38] [i37] [i34] [i32] [i30] [i29] [j46] [j41] [c227] [c226] [c225] [c223] [c222] [c218] [c217] [c216] [c215] [c214] [c213] [c212] [i25] [i24] [c206] [c205] [c204] [c203] [c202] [c201] [c200] [c199] [c198] [c196] [c195] [c189] [c186] [i20] [c177] [c176] [c174] [c172] [c171] [p3] [j35] [c167] [c166] [c165] [c162] [c161] [c160] [i8] [i7] [c159] [c157] [c156] [c155] [c154] [c153] [c150] [i6] [i5] [i4] [i3] [j31] [j29] [j27] [c148] [c146] [c145] [c140] [c139] [c138] [c136] [c135] [c134] [i2] [j26] [j24] [c124] [c123] [c122] [c120] [c119] [c118] [c116] [c112] [c110] [c108] [c106] [c105] [c102] [c101] [c100] [c98] [c97] [c95] [j22] [c92] [c89] [c84] [c81] [c80] [p2] [r1] [i1] [j20] [j19] [c77] [c76] [c75] [c74] [c72] [c71] [c70] [j18] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [j16] [j15] [c53] [c52] [c51] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [j14] [j12] [j11] [j10] [j9] [j8] [j7] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [j6] [j5] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [j4] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [j3] [j2] [c11] [c9] [c8] [c7] [c6] [j1] [c4] [c3] [c2] [c1]
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