Artificial Intelligence - Publications
- Fini, Enrico; Brutti, Alessio; IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); Supervised Online Diarization with Sample Mean Loss for Multi-Domain Data; in «ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)»; 2020; pp. 7134-7138
- Cerutti, Gianmarco; Prasad, Rahul; Brutti, Alessio; Farella, Elisabetta; Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms; in «IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING»; Vol. 14>; 2020; pp. 654-664
- Dragoni, Mauro; Federici, Marco; Rexha, Andi; ReUS: a Real-time Unsupervised System For Monitoring Opinion Streams; in «COGNITIVE COMPUTATION»; Vol. 11>; 2019; pp. 469-488
- Cerutti, Gianmarco; Prasad, Rahul; Brutti, Alessio; Farella, Elisabetta; Interspeech; Neural Network Distillation on IoT Platforms for Sound Event Detection; in «Interspeech 2019»; 2019; pp. 3609-3613
- Qian, Xinyuan; Brutti, Alessio; Lanz, Oswald; Omologo, Maurizio; Cavallaro, Andrea; Multi-speaker tracking from an audio-visual sensing device; in «IEEE TRANSACTIONS ON MULTIMEDIA»; Vol. 21>; 2019; pp. 2576-2588
- Senderovich, Arik; Francescomarino, Chiara Di; Maggi, Fabrizio Maria; From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring; in «INFORMATION SYSTEMS»; Vol. 84>; 2019; pp. 255-264
- Rajan, Vandana; Brutti, Alessio; Cavallaro, Andrea; ConflictNET: End-to-End Learning for Speech-based Conflict Intensity Estimation; in «IEEE SIGNAL PROCESSING LETTERS»; Vol. 26>; 2019; pp. 1668-1672
- Rospocher, Marco; Corcoglioniti, Francesco; Dragoni, Mauro; Boosting Document Retrieval with Knowledge Extraction and Linked Data; in «SEMANTIC WEB»; Vol. 10>; 2019; pp. 753-778
- Dragoni, Mauro; Federici, Marco; Rexha, Andi; An unsupervised aspect extraction strategy for monitoring real-time reviews stream; in «INFORMATION PROCESSING & MANAGEMENT»; Vol. 56>; 2019; pp. 1103-1118
- Dragoni, Mauro; An Evolutionary Strategy For Concept-Based Multi-Domain Sentiment Analysis; in «IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE»; Vol. 14>; 2019; pp. 18-27