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
The Majority Vote Paradigm Shift: When Popular Meets Optimal
Purificato, Antonio; Bucarelli, Maria Sofia; Nelakanti, Anil Kumar; Bacciu, Andrea; Silvestri, Fabrizio; Mantrach, Amin;
2025
arXiv preprint arXiv:2502.12581
The Distracting Effect: Understanding Irrelevant Passages in RAG
Amiraz, Chen; Cuconasu, Florin; Filice, Simone; Karnin, Zohar;
2025
arXiv preprint arXiv:2505.06914
∇ 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
https://link.springer.com/chapter/10.1007/978-3-031-87654-7_11
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
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
Purificato, Antonio; Cassarà, Giulia; Siciliano, Federico; Liò, Pietro; Silvestri, Fabrizio;
2023
arXiv preprint arXiv:2304.09097
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)
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
Sheaf Hypergraph Networks
Duta, Iulia; Cassarà, Giulia; Silvestri, Fabrizio; Liò, Pietro
arXiv preprint arXiv:2309.17116
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