The Spicy Project: A New Approach to Data Matching. - Angela Bonifati; Giansalvatore Mecca; Alessandro Pappalardo; Salvatore Raunich (SEBD, 2006)

Noodles: A Clustering Engine for the Web. - Giansalvatore Mecca; Salvatore Raunich; Alessandro Pappalardo; Donatello Santoro (ICWE, 2007)

Clustering Web and Desktop Searches. - Giansalvatore Mecca; Salvatore Raunich; Alessandro Pappalardo (SEBD, 2007)

A new algorithm for clustering search results. - Giansalvatore Mecca; Salvatore Raunich; Alessandro Pappalardo (Data Knowl. Eng., 2007)

Schema mapping verification: the spicy way. - Angela Bonifati; Giansalvatore Mecca; Alessandro Pappalardo; Salvatore Raunich; Gianvito Summa (EDBT, 2008)

Soluzioni Infrastrutturali Open Source per il Sistema Pubblico di Cooperazione Applicativa. - Giansalvatore Mecca; Alessandro Pappalardo; Salvatore Raunich (SEBD, 2008)

The Spicy system: towards a notion of mapping quality. - Angela Bonifati; Giansalvatore Mecca; Alessandro Pappalardo; Salvatore Raunich; Gianvito Summa (SIGMOD Conference, 2008)

On hybrid genetic models for hard problems. - Marco Carpentieri; Alessandro Pappalardo; Domenica Sileo; Gianvito Summa (FUZZ-IEEE, 2009)

Monitoring and Adaptation in Smart Spaces for Disabled Children. - Franca Garzotto; Mirko Gelsomini; Alessandro Pappalardo; Claudio Sanna; Erica Stella; Michele Zanella (AVI, 2016)

Using Brain Signals in Adaptive Smart Spaces for Disabled Children. - Franca Garzotto; Mirko Gelsomini; Alessandro Pappalardo; Claudio Sanna; Erica Stella; Michele Zanella (CHI Extended Abstracts, 2016)

A Feedback-Based Design Space Exploration Subsystem for the Automation of Architectures Synthesis on Proprietary FPGA Toolchains. - Alessandro Pappalardo; Giuseppe Natale; Marco Domenico Santambrogio (DSD, 2017)

FINN-L: Library Extensions and Design Trade-Off Analysis for Variable Precision LSTM Networks on FPGAs. - Vladimir Rybalkin; Alessandro Pappalardo; Muhammad Mohsin Ghaffar; Giulio Gambardella; Norbert Wehn; Michaela Blott (FPL, 2018)

Trainable Preprocessing for Reduced Precision Neural Networks. - Gábor Csordás; Kristof Denolf; Nicholas J. Fraser; Alessandro Pappalardo; Kees A. Vissers (EUSIPCO, 2021)

Performance vs. hardware requirements in state-of-the-art automatic speech recognition. - Alexandru-Lucian Georgescu; Alessandro Pappalardo; Horia Cucu; Michaela Blott (EURASIP J. Audio Speech Music. Process., 2021)

Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference. - Benjamin Hawks; Javier M. Duarte; Nicholas J. Fraser; Alessandro Pappalardo; Nhan Tran; Yaman Umuroglu (Frontiers Artif. Intell., 2021)

QONNX: Representing Arbitrary-Precision Quantized Neural Networks. - Alessandro Pappalardo; Yaman Umuroglu; Michaela Blott; Jovan Mitrevski; Benjamin Hawks; Nhan Tran; Vladimir Loncar; Sioni Summers; Hendrik Borras; Jules Muhizi; Matthew Trahms; Shih-Chieh Hsu; et al. (CoRR, 2022)

RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures. - Felix Jentzsch; Yaman Umuroglu; Alessandro Pappalardo; Michaela Blott; Marco Platzner (IEEE Micro, 2022)

Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices. - Enrico Reggiani; Alessandro Pappalardo; Max Doblas; Miquel Moretó; Mauro Olivieri; Osman Sabri Unsal; Adrián Cristal (HPCA, 2023)

A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. - Ian Colbert; Alessandro Pappalardo; Jakoba Petri-Koenig (ICCV, 2023)

Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance. - Ian Colbert; Alessandro Pappalardo; Jakoba Petri-Koenig (CoRR, 2023)

Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs. - Shivam Aggarwal; Alessandro Pappalardo; Hans Jakob Damsgaard; Giuseppe Franco; Thomas B. Preußer; Michaela Blott; Tulika Mitra (CoRR, 2023)

Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs. - Shivam Aggarwal; Hans Jakob Damsgaard; Alessandro Pappalardo; Giuseppe Franco; Thomas B. Preußer; Michaela Blott; Tulika Mitra (FPL, 2024)

A2Q+: Improving Accumulator-Aware Weight Quantization. - Ian Colbert; Alessandro Pappalardo; Jakoba Petri-Koenig; Yaman Umuroglu (ICML, 2024)

Mix-GEMM: Extending RISC-V CPUs for Energy-Efficient Mixed-Precision DNN Inference Using Binary Segmentation. - Jordi Fornt; Enrico Reggiani; Pau Fontova-Musté; Narcís Rodas; Alessandro Pappalardo; Osman Sabri Unsal; Adrián Cristal Kestelman; Josep Altet; Francesc Moll; Jaume Abella 001 (IEEE Trans. Computers, 2025)

Apple Intelligence Foundation Language Models: Tech Report 2025. - Hanzhi Zhou; Erik Hornberger; Pengsheng Guo; Xiyou Zhou; Saiwen Wang; Xin Wang; Yifei He; Xuankai Chang; Rene Rauch; Louis D'hauwe; John Peebles; Alec Doane; et al. (CoRR, 2025)