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Papers
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Di Teodoro, Giulia; Siciliano, Federico; Guarrasi, Valerio; Vandamme, Anne-Mieke; Ghisetti, Valeria; Sönnerborg, Anders; Zazzi, Maurizio; Silvestri, Fabrizio; Palagi, Laura;
2025
Computerized Medical Imaging and Graphics
Entropy-lens: The information signature of transformer computations
Ali, Riccardo; Caso, Francesco; Irwin, Christopher; Liò, Pietro;
2025
arXiv preprint arXiv:2502.16570
Report on the 1st Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2024) at SIGIR 2024
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
2025
ACM SIGIR Forum
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
Purificato, Antonio; Cassarà, Giulia; Siciliano, Federico; Liò, Pietro; Silvestri, Fabrizio;
2025
ACM Transactions on Recommender Systems
The Distracting Effect: Understanding Irrelevant Passages in RAG
Amiraz, Chen; Cuconasu, Florin; Filice, Simone; Karnin, Zohar;
2025
arXiv preprint arXiv:2505.06914
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
Filippo Betello, Antonio Purificato, Vittoria Vineis, Gabriele Tolomei, Fabrizio Silvestri
2025
arXiv preprint arXiv:2505.01468
Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks
Giovanni Trappolini, Antonio Purificato, Federico Siciliano, Luigi D’Addona, Anna Maria Spagnolo, Domenico Dato, Fabrizio Silvestri
2025
IEEE Access
Caser+ and CosRec+: Closing the Gap Between CNNs and Attention Models in SRS
Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025
Proc. of the 15th Italian Information Retrieval Workshop
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
Emanuele Mule, Stefano Fiorini, Antonio Purificato, Federico Siciliano, Stefano Coniglio, Fabrizio Silvestri
2025
arXiv preprint arXiv:2510.04727
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation
Mule*, Emanuele; Pannacci*, Matteo; Ghasemi*, Ali; Pro, Francesco; Papa, Lorenzo; Maiano, Luca; Amerini, Irene;
2025
Proceedings of the Winter Conference on Applications of Computer Vision
PISA: Prioritized Invariant Subgraph Aggregation
Ghasemi, Ali; Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2025
arXiv preprint arXiv:2511.22435
Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights
Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025
2025 International Joint Conference on Neural Networks (IJCNN)
∇ τ: Gradient-based and Task-Agnostic machine Unlearning
Trippa, Daniel; Campagnano, Cesare; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio;
2024
CoRR
A Reproducible Analysis of Sequential Recommender Systems
Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
IEEE Access
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Cuconasu, Florin; Trappolini, Giovanni; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
arXiv preprint arXiv:2406.14972
A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
arXiv preprint arXiv:2411.07770
A topological description of loss surfaces based on Betti Numbers
Bucarelli, Maria Sofia; D’Inverno, Giuseppe Alessio; Bianchini, Monica; Scarselli, Franco; Silvestri, Fabrizio;
2024
Neural Networks
Architectural components of trustworthy Artificial Intelligence
Siciliano, Federico;
2024
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
Porcaro, Lorenzo; Gómez, Emilia; Castillo, Carlos;
2024
ACM Transactions on Recommender Systems
ATM: Improving Model Merging by Alternating Tuning and Merging
Zhou, Luca; Solombrino, Daniele; Crisostomi, Donato; Bucarelli, Maria Sofia; Silvestri, Fabrizio; Rodolà, Emanuele;
2024
arXiv preprint arXiv:2411.03055
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence
Movin, Maria; Siciliano, Federico; Ferreira, Rui; Silvestri, Fabrizio; Tolomei, Gabriele;
2024
IEEE Transactions on Artificial Intelligence
Development of an app for a science-based prescription of haemodialysis
Peyronel Francesco; Rossi Alberto; Palazzini Giulia; Tagliavini Dante; Baccini Federica;
2024
Nephrology dialysis transplantation Volume 39
Eco-Aware Graph Neural Networks for Sustainable Recommendations
Purificato, Antonio; Silvestri, Fabrizio;
2024
International Workshop on Recommender Systems for Sustainability and Social Good
Fine-grained classification of journal articles based on multiple layers of information through similarity network fusion: The case of the Cambridge Journal of Economics
Baccini Alberto; Baccini Federica; Barabesi Lucio; Cioni Martina; Petrovich Eugenio; Pignalosa Daria;
2024
Scientometrics
Human-in-the-Loop Personalized Counterfactual Recourse
Abrate, Carlo; Siciliano, Federico; Bonchi, Francesco; Silvestri, Fabrizio;
2024
World Conference on Explainable Artificial Intelligence
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Bernárdez, Guillermo; Telyatnikov, Lev; Montagna, Marco; Baccini, Federica; Papillon, Mathilde; Ferriol-Galmés, Miquel; Hajij, Mustafa; Papamarkou, Theodore; Bucarelli, Maria Sofia; Zaghen, Olga;
2024
arXiv preprint arXiv:2409.05211
Improving reliability in deep learning: exploring generalization bounds, noisy label handling, and loss surface characterization
Bucarelli, MARIA SOFIA;
2024
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
2024
European Conference on Information Retrieval
IR-RAG@ SIGIR24: Information Retrieval's Role in RAG Systems
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2024
2024 International Joint Conference on Neural Networks (IJCNN)
Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach
Di Francesco, Andrea Giuseppe; Caso, Francesco; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2024
arXiv preprint arXiv:2402.14802
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
Navigating the Soundscape of Deception: A Comprehensive Survey on Audio Deepfake Generation, Detection, and Future Horizons
Wani, Taiba Majid; Qadri, Syed Asif Ahmad; Wani, Farooq Ahmad; Amerini, Irene;
2024
Foundations and Trends® in Privacy and Security
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
CEUR WORKSHOP PROCEEDINGS
Robust Solutions for Ranking Variability in Recommender Systems
Francomano, Bonifacio Marco; Siciliano, Federico; Silvestri, Fabrizio;
2024
Robust training of sequential recommender systems with missing input data
Siciliano, Federico; Lagziel, Shoval; Gamzu, Iftah; Tolomei, Gabriele;
2024
Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks
Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Di Francesco, Andrea Giuseppe; Pryymak, Oleksandr; Silvestri, Fabrizio;
2024
arXiv preprint arXiv:2412.08419
RobustRecSys@ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems
Guarrasi, Valerio; Siciliano, Federico; Silvestri, Fabrizio;
2024
Proceedings of the 18th ACM Conference on Recommender Systems
Social Media Use and adolescents' mental health and well-being: An umbrella review
Sala, Arianna; Porcaro, Lorenzo; Gómez, Emilia;
2024
Computers in Human Behavior Reports
Static Pruning in Dense Retrieval using Matrix Decomposition
Siciliano, Federico; Pezzuti, Francesca; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
arXiv preprint arXiv:2412.09983
Task Singular Vectors: Reducing Task Interference in Model Merging
Gargiulo, Antonio Andrea; Crisostomi, Donato; Bucarelli, Maria Sofia; Scardapane, Simone; Silvestri, Fabrizio; Rodolà, Emanuele;
2024
arXiv preprint arXiv:2412.00081
TEXT2TASTE: a versatile egocentric vision system for intelligent reading assistance using large language model
Mucha, Wiktor; Cuconasu, Florin; Etori, Naome A; Kalokyri, Valia; Trappolini, Giovanni;
2024
International Conference on Computers Helping People with Special Needs
The Majority Vote Paradigm Shift: When Popular Meets Optimal
Antonio Purificato, Maria Sofia Bucarelli, Anil Kumar Nelakanti, Andrea Bacciu, Fabrizio Silvestri, Amin Mantrach
2024
arXiv preprint arXiv:2502.12581
The Power of Noise: Redefining Retrieval for RAG Systems
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio
2024
https://dl.acm.org/doi/10.1145/3626772.3657834
The power of noise: Redefining retrieval for rag systems
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
Porcaro, Lorenzo; Gómez, Emilia; Castillo, Carlos;
2024
ACM Transactions on Recommender Systems 🏅 Featured Article
Social Media Use and adolescents' mental health and well-being: An umbrella review
Sala, Arianna; Porcaro, Lorenzo; Gómez, Emilia;
2024
Computers in Human Behavior Reports
Diversity in Artificial Intelligence Conferences: An analysis of indicators for gender, country and institution diversity from 2007 to 2023
Gomez, Emilia; Porcaro, Lorenzo; Frau Amar, Pedro; Vinagre, Joao;
2024
End-user Algorithmic Auditing for Music Discoverability: A Research Roadmap
Porcaro, Lorenzo; Gómez, Emilia; Catarci, Tiziana;
2024
2nd Music Recommender Systems Workshop (MuRS), co-located with the 18th ACM Conference on Recommender Systems
Audio-based Music Retrieval
Gómez, Emilia; Cuesta, Helena; Gkiokas, Aggelos; Gómez-Cañón, Juan; Porcaro, Lorenzo; Yesiler, Furkan;
2024
Information Retrieval: Advanced Topics and Techniques
A data-driven approach to refine predictions of differentiated thyroid cancer outcomes: a prospective multicenter study
Grani, Giorgio; Gentili, Michele; Siciliano, Federico; Albano, Domenico; Zilioli, Valentina; Morelli, Silvia; Puxeddu, Efisio; Zatelli, Maria Chiara; Gagliardi, Irene; Piovesan, Alessandro;
2023
The Journal of Clinical Endocrinology & Metabolism
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
Federico Siciliano, Luca Maiano, Lorenzo Papa, Irene Amerini, Fabrizio Silvestri
2023
ECML-PKDD Workshops
Adversarial data poisoning for fake news detection: How to make a model misclassify a target news without modifying it
Siciliano, Federico; Maiano, Luca; Papa, Lorenzo; Baccini, Federica; Amerini, Irene; Silvestri, Fabrizio;
2023
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Analysis of Multiple Relations in Multilayer and Higher-Order Networks
BACCINI FEDERICA;
2023
Attention-likelihood relationship in transformers
Ruscio, Valeria; Maiorca, Valentino; Silvestri, Fabrizio;
2023
ICLR 2023 TinyPapers
Concept Distillation in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro;
2023
World Conference on Explainable Artificial Intelligence
CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN
Barnabò, Giorgio; Trappolini, Giovanni; Lastilla, Lorenzo; Campagnano, Cesare; Fan, Angela; Petroni, Fabio; Silvestri, Fabrizio;
2023
Discover Artificial Intelligence
Deep active learning for misinformation detection using geometric deep learning
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
2023
Online Social Networks and Media
False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture
Bragatto, Tommaso; Bucarelli, Marco Antonio; Bucarelli, Maria Sofia; Carere, Federico; Geri, Alberto; Maccioni, Marco;
2023
Sensors
Fauno: The Italian Large Language Model that will leave you senza parole!
Bacciu, Andrea; Trappolini, Giovanni; Santilli, Andrea; Rodolà, Emanuele; Silvestri, Fabrizio;
2023
arXiv preprint arXiv:2306.14457
FinGPT: Large Generative Models for a Small Language
Luukkonen, Risto; Komulainen, Ville; Luoma, Jouni; Eskelinen, Anni; Kanerva, Jenna; Kupari, Hanna-Mari; Ginter, Filip; Laippala, Veronika; Muennighoff, Niklas; Piktus, Aleksandra;
2023
arXiv preprint arXiv:2311.05640
FLIRT: Federated Learning for Information Retrieval
Pinelli, Fabio; Tolomei, Gabriele; Trappolini, Giovanni;
2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration
Piktus, Aleksandra; Ogundepo, Odunayo; Akiki, Christopher; Oladipo, Akintunde; Zhang, Xinyu; Schoelkopf, Hailey; Biderman, Stella; Potthast, Martin; Lin, Jimmy;
2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
GATSY: Graph Attention Network for Music Artist Similarity
Di Francesco, Andrea Giuseppe; Giampietro, Giuliano; Spinelli, Indro; Comminiello, Danilo;
2023
arXiv preprint arXiv:2311.00635
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
Telyatnikov, Lev; Bucarelli, Maria Sofia; Bernardez, Guillermo; Zaghen, Olga; Scardapane, Simone; Lio, Pietro;
2023
arXiv preprint arXiv:2310.07684
Improving wikipedia verifiability with AI
Petroni, Fabio; Broscheit, Samuel; Piktus, Aleksandra; Lewis, Patrick; Izacard, Gautier; Hosseini, Lucas; Dwivedi-Yu, Jane; Lomeli, Maria; Schick, Timo; Bevilacqua, Michele;
2023
Nature Machine Intelligence
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Siciliano, Federico; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
2023
Proceedings of the 17th ACM Conference on Recommender Systems
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
Bucarelli, Maria Sofia; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio;
2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Multimodal Neural Databases
Trappolini, Giovanni; Santilli, Andrea; Rodolà, Emanuele; Halevy, Alon; Silvestri, Fabrizio;
2023
https://arxiv.org/abs/2305.01447
On Generalization Bounds for Projective Clustering
Bucarelli, Maria Sofia; Larsen, Matilde, Fjeldsø; Schwiegelshohn, Chris; Toftrup, Bech, Mads;
2023
Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models
Tolomei, Gabriele; Campagnano, Cesare; Silvestri, Fabrizio; Trappolini, Giovanni;
2023
arXiv preprint arXiv:2310.04875
Renormalized Graph Neural Networks
Caso, Francesco; Trappolini, Giovanni; Bacciu, Andrea; Liò, Pietro; Silvestri, Fabrizio;
2023
arXiv preprint arXiv:2306.00707
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
2023
CEUR WORKSHOP PROCEEDINGS
Scaling Data-Constrained Language Models
Muennighoff, Niklas; Rush, Alexander M; Barak, Boaz; Scao, Teven Le; Piktus, Aleksandra; Tazi, Nouamane; Pyysalo, Sampo; Wolf, Thomas; Raffel, Colin;
2023
NeurIPS 2023 Main Track
Similarity matrix average for aggregating multiplex networks
Baccini Federica; Barabesi Lucio; Petrovich Eugenio;
2023
Journal of Physics: Complexity
Similarity network aggregation for the analysis of glacier ecosystems
Ambrosini Roberto; Baccini Federica; Barabesi Lucio;
2023
Environmetrics
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face
Akiki, Christopher; Ogundepo, Odunayo; Piktus, Aleksandra; Zhang, Xinyu; Oladipo, Akintunde; Lin, Jimmy; Potthast, Martin;
2023
EMNLP 2023 Demo Track
Sparse Vicious Attacks on Graph Neural Networks
Trappolini, Giovanni; Maiorca, Valentino; Severino, Silvio; Rodola, Emanuele; Silvestri, Fabrizio; Tolomei, Gabriele;
2023
IEEE Transactions on Artificial Intelligence
Synonymy in Korean Lexicon through the Lens of Vector Semantics
Ruscio, Valeria;
2023
Percorsi in Civiltà dell’Asia e dell’Africa II: Quaderni di studi dottorali alla Sapienza
The CAESAR Project for the ASI Space Weather Infrastructure
Laurenza, M; Del Moro, D; Alberti, T; Battiston, R; Benella, S; Benvenuto, F; Berrilli, F; Bertello, I; Bertucci, B; Biasiotti, L;
2023
Remote Sensing
The ROOTS Search Tool: Data Transparency for LLMs
Piktus, Aleksandra; Akiki, Christopher; Villegas, Paulo; Laurençon, Hugo; Dupont, Gérard; Luccioni, Alexandra Sasha; Jernite, Yacine; Rogers, Anna;
2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Measuring and fostering diversity in Affective Computing research
Hupont, Isabelle; Tolan, Songül; Frau, Pedro; Porcaro, Lorenzo; Gómez, Emilia;
2023
IEEE Transactions on Affective Computing
Fairness and Diversity in Information Access Systems
Porcaro, Lorenzo; Castillo, Carlos; Gómez, Emilia; Vinagre, João;
2023
European Workshop on Algorithmic Fairness (EWAF'23)
Behind Recommender Systems: the Geography of the ACM RecSys Community
Porcaro, Lorenzo; Vinagre, João; Frau, Pedro; Hupont, Isabelle; Gómez, Emilia;
2023
6th FAccTRec Workshop on Responsible Recommendation
Adata-driven approach reveals emerging risk factors for recurrent and persistent differentiated thyroid cancer
Gentili, Michele; Grani, Giorgio; Siciliano, Federico;
2022
Endocrine Abstracts
Comparing long short-term memory and convolutional neural networks in SYM-H index forecasting
Siciliano, Federico; Consolini, Giuseppe; Giannattasio, Fabio;
2022
EGU General Assembly Conference Abstracts
Encoding Concepts in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Lio, Pietro;
2022
arXiv preprint arXiv:2207.13586
Fair Ranking: A Critical Review, Challenges, and Future Directions
Patro, Gourab K; Porcaro, Lorenzo; Mitchell, Laura; Zhang, Qiuyue; Zehlike, Meike; Garg, Nikhil;
2022
FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
2022
2022 International Joint Conference on Neural Networks (IJCNN)
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
2022
Proc. of the 14th Italian Information Retrieval Workshop
Graph-Based Integration of Histone Modification Profiles
Baccini Federica; Bianchini Monica; Geraci Filippo
2022
Mathematics
Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures
Greco, F; Polli, A; Siciliano, F;
2022
JADT 2022 Proceedings: 16th International Conference on Statistical Analysis of Textual Data
Newron: a new generalization of the artificial neuron to enhance the interpretability of neural networks
Siciliano, Federico; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio;
2022
2022 International Joint Conference on Neural Networks (IJCNN)
Sheaf Hypergraph Networks
Duta, Iulia; Cassarà, Giulia; Silvestri, Fabrizio; Liò, Pietro
2022
arXiv preprint arXiv:2309.17116
Similarity network fusion for scholarly journals
Baccini Federica; Barabesi Lucio; Baccini Alberto; Khelfaoui Mahdi; Gingras Yves
2022
Journal of Informetrics
Weighted simplicial complexes and their representation power of higher-order network data and topology
Baccini Federica; Geraci Filippo; Bianconi Ginestra;
2022
Physical Review E
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics
Porcaro, Lorenzo; Gómez, Emilia; Castillo, Carlos;
2022
Proceedings of the ACM on Human-Computer Interaction
Diversity in the Music Listening Experience: Insights from Focus Group Interviews
Porcaro, Lorenzo; Gómez, Emilia; Castillo, Carlos;
2022
CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval
Fair Ranking: A Critical Review, Challenges, and Future Directions
Patro, Gourab K; Porcaro, Lorenzo; Mitchell, Laura; Zhang, Qiuyue; Zehlike, Meike; Garg, Nikhil;
2022
FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency
Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project
Hupont, Isabelle; Gomez, Emilia; Tolan, Songul; Porcaro, Lorenzo; Freire, Ana;
2022
AAAI 2022 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI)
TROMPA-MER: an open dataset for personalized Music Emotion Recognition
Gómez-Cañón, Juan Sebastián; Gutiérrez-Páez, Nicolás; Porcaro, Lorenzo; Porter, Alastair; Cano, Estefanía; Herrera, Perfecto; Gkiokas, Aggelos; Santos, Patricia; Hernández-Leo, Davinia; Karreman, Casper;
2022
Journal of Intelligent Information Systems
CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients
Guerranti Filippo; Mannino Mirco; Baccini Federica; Bongini Pietro; Pancino Niccol; Visibelli Anna; Marziali Sara;
2021
Procedia Computer Science
Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks
Siciliano, F; Consolini, Giuseppe; Tozzi, Roberta; Gentili, M; Giannattasio, Fabio; De Michelis, Paola;
2021
Space Weather
Measuring Diversity of Artificial Intelligence Conferences
Freire, Ana; Porcaro, Lorenzo; Gómez, Emilia;
2021
AAAI 2021 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI)
Shape registration in the time of transformers
Trappolini, Giovanni; Cosmo, Luca; Moschella, Luca; Marin, Riccardo; Melzi, Simone; Rodolà, Emanuele;
2021
Advances in Neural Information Processing Systems
Measuring Diversity of Artificial Intelligence Conferences
Freire, Ana; Porcaro, Lorenzo; Gómez, Emilia;
2021
AAAI 2021 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI)
Emotion Annotation of Music: A Citizen Science Approach
Gutiérrez Páez, Nicolás Felipe; Gómez-Cañón, Juan Sebastián; Porcaro, Lorenzo; Santos, Patricia; Hernández-Leo, Davinia; Gómez, Emilia;
2021
International Conference on Collaboration Technologies and Social Computing (CollabTech 2021)
How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research
Hupont, Isabelle; Tolan, Songül; Freire, Ana; Porcaro, Lorenzo; Sara, Estevez; Gómez, Emilia;
2021
9th International Conference on Affective Computing and Intelligent Interaction (ACII)
Diversity by Design in Music Recommender Systems
Porcaro, Lorenzo; Castillo, Carlos; Gómez, Emilia;
2021
Transactions of the International Society for Music Information Retrieval
Towards precise completion of deformable shapes
Halimi, Oshri; Imanuel, Ido; Litany, Or; Trappolini, Giovanni; Rodolà, Emanuele; Guibas, Leonidas; Kimmel, Ron;
2020
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIV 16
Exploring Artist Gender Bias in Music Recommendation
Shakespeare, Dougal; Porcaro, Lorenzo; Gómez, Emilia; Castillo, Carlos;
2020
2nd Workshop on the Impact of Recommender Systems (ImpactRS), at the 14th ACM Conference on Recommender Systems (RecSys 2020)
Balancing Exposure and Relevance in Academic Search
Ferraro, Andres; Porcaro, Lorenzo; Serra, Xavier;
2020
NIST Conference 2020
Multiresolution Topological Data Analysis for Robust Activity Tracking
Trappolini, Giovanni; Padellini, Tullia; Brutti, Pierpaolo;
2019
Smart Statistics for Smart Applications. Book of Short Papers SIS2019
Recognizing Musical Entities in User-generated Content
Porcaro, Lorenzo; Saggion, Horacio;
2019
Computación y Sistemas
20 Years of Playlists: A Statistical Analysis on Popularity and Diversity
Porcaro, Lorenzo; Gomez, Emilia;
2019
20th Conference of the International Society for Music Information Retrieval (ISMIR 2019)
Music Recommendation Diversity: A Tentative Framework and Preliminary Results
Porcaro, Lorenzo; Castillo, Carlos; Gomez, Emilia;
2019
1st Workshop on Designing Human-Centric MIR Systems (wsHCMIR19), co-located at 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019).
Reconstruction of F-Region Electric Current Densities from more than 2 Years of Swarm Satellite Magnetic data
Tozzi, Roberta; Pezzopane, Michael; De Michelis, Paola; Pignalberi, Alessio; Siciliano, Federico;
2016
AGU Fall Meeting Abstracts
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