Publications

Bold style means (one of) main author(s). See also my Google Scholar profile.

Peer-reviewed

• GeCo: Towards Effective GAN-Based Fashion Compatibility Modeling and Retrieval
  Attimonelli Matteo, Pomo Claudio, Jannach Dietmar, Di Noia Tommaso
  Information Sciences, 2026.

• WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis
  Danese Danilo, Lombardi Angela, Fasano Giuseppe, Attimonelli Matteo, Di Noia Tommaso
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026.

• FlowLet: Conditional 3D Brain MRI Synthesis Using Wavelet Flow Matching
  Danese Danilo, Lombardi Angela, Attimonelli Matteo, Fasano Giuseppe, Di Noia Tommaso
  Medical Image Analysis, 2026.

• Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
  Attimonelli Matteo, De Bellis Alessandro, Pomo Claudio, Jannach Dietmar, Di Sciascio Eugenio, Di Noia Tommaso
  In Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys ‘25), September 22–26, 2025, Prague, Czech Republic.

• Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
  Pomo Claudio, Attimonelli Matteo, Danese Danilo, Narducci Fedelucio, Di Noia Tommaso
  In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM ‘25), November 10–14, 2025, Seoul, Republic of Korea.

• Ducho Meets Elliot: Large-Scale Benchmarks for Multimodal Recommendation
  Attimonelli Matteo, Danese Danilo, Di Fazio Angela, Malitesta Daniele, Pomo Claudio, Di Noia Tommaso
  Expert Systems with Applications, 2025.

• Standard Practices for Data Processing and Multimodal Feature Extraction in Recommendation with DataRec and Ducho (D&D4Rec)
  Mancino Alberto Carlo Maria, Attimonelli Matteo, Di Fazio Angela, Malitesta Daniele, Di Noia Tommaso
  Tutorial. In Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys ‘25), September 22–26, 2025, Prague, Czech Republic.

• Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation
  Attimonelli Matteo, Danese Danilo, Malitesta Daniele, Pomo Claudio, Gassi Giuseppe, Di Noia Tommaso
  In Companion Proceedings of the ACM Web Conference 2024 (WWW ‘24 Companion), May 13–17, 2024, Singapore.

• Toward Effective Fashion Item Compatibility Modelling
  Attimonelli Matteo, Pomo Claudio, Jannach Dietmar, Di Noia Tommaso
  In Proceedings of the 14th Italian Information Retrieval Workshop (IIR 2024), CEUR Vol-3802.

• Adversarial Attacks Against Visually Aware Fashion Outfit Recommender Systems
  Attimonelli Matteo, Amatulli Gianluca, Di Gioia Leonardo, Malitesta Daniele, Deldjoo Yashar, Di Noia Tommaso
  Recommender Systems in Fashion and Retail (FashionXRecSys at RECSYS 2022), Springer.

Preprints

• Do Composed Image Retrieval Benchmarks Require Multimodal Composition?
  Attimonelli Matteo, De Bellis Alessandro, Gema Aryo Pradipta, Saxena Rohit, Sekoyan Monica, Kwan Wai-Chung, Pomo Claudio, Suglia Alessandro, Jannach Dietmar, Di Noia Tommaso, Minervini Pasquale
  arXiv:2605.14787, under review, 2026.