Automatic Identification of Music Works Through Audio Matching. - Riccardo Miotto; Nicola Orio (ECDL, 2007)

Recognition of Music Performances through Audio Matching. - Riccardo Miotto; Nicola Orio (IRCDL, 2007)

A Methodology for the Segmentation and Identification of Music Works. - Riccardo Miotto; Nicola Orio (ISMIR, 2007)

Distributed Information Retrieval and Automatic Identification of Music Works in SAPIR. - Maristella Agosti; Emanuele Di Buccio; Giorgio Maria Di Nunzio; Nicola Ferro 001; Massimo Melucci; Riccardo Miotto; Nicola Orio (SEBD, 2007)

Towards a Content-based Music Search Engine. - Riccardo Miotto; Nicola Orio (IRCDL, 2008)

A Music Identification System Based on Chroma Indexing and Statistical Modeling. - Riccardo Miotto; Nicola Orio (ISMIR, 2008)

Design of an Information Retrieval System Based on the Peer-to-Peer Paradigm: An Application to Music Retrieval. - Emanuele Di Buccio; Nicola Ferro 001; Massimo Melucci; Riccardo Miotto; Nicola Orio (IRCDL, 2009)

Towards an Integrated Approach to Music Retrieval. - Emanuele Di Buccio; Ivano Masiero; Yosi Mass; Massimo Melucci; Riccardo Miotto; Nicola Orio; Benjamin Sznajder (IRCDL, 2009)

A Digital Library Effort to Support the Building of Grammatical Resources for Italian Dialects. - Maristella Agosti; Paola Benincà; Giorgio Maria Di Nunzio; Riccardo Miotto; Diego Pescarini (IRCDL, 2010)

Content-Based Cover Song Identification in Music Digital Libraries. - Riccardo Miotto; Nicola Montecchio; Nicola Orio (IRCDL, 2010)

Improving Auto-tagging by Modeling Semantic Co-occurrences. - Riccardo Miotto; Luke Barrington; Gert R. G. Lanckriet (ISMIR, 2010)

A Probabilistic Approach to Merge Context and Content Information for Music Retrieval. - Riccardo Miotto; Nicola Orio (ISMIR, 2010)

Statistical Music Modeling Aimed at Identification and Alignment. - Riccardo Miotto; Nicola Montecchio; Nicola Orio (Advances in Music Information Retrieval, 2010)

ASIt: A Grammatical Survey of Italian Dialects and Cimbrian: Fieldwork, Data Management, and Linguistic Analysis. - Maristella Agosti; Birgit Alber; Paola Benincà; Giorgio Maria Di Nunzio; Marco Dussin; Riccardo Miotto; Diego Pescarini; Stefan Rabanus; Alessandra Tomaselli (IRCDL, 2011)

Accessing Music Digital Libraries by Combining Semantic Tags and Audio Content. - Riccardo Miotto; Nicola Orio (IRCDL, 2011)

Combining Content-Based Auto-Taggers with Decision-Fusion. - Emanuele Coviello; Riccardo Miotto; Gert R. G. Lanckriet (ISMIR, 2011)

MusiCLEF: a Benchmark Activity in Multimodal Music Information Retrieval. - Nicola Orio; David Rizo; Riccardo Miotto; Markus Schedl; Nicola Montecchio; Olivier Lartillot (ISMIR, 2011)

Content-based music access. - Riccardo Miotto (2011)

A Generative Context Model for Semantic Music Annotation and Retrieval. - Riccardo Miotto; Gert R. G. Lanckriet (IEEE Trans. Speech Audio Process., 2012)

A Probabilistic Model to Combine Tags and Acoustic Similarity for Music Retrieval. - Riccardo Miotto; Nicola Orio (ACM Trans. Inf. Syst., 2012)

eTACTS: an Eligibility Tag Cloud-based Clinical Trial Search Engine. - Riccardo Miotto; Chunhua Weng (AMIA, 2013)

A Method for Probing Disease Relatedness Using Common Clinical Eligibility Criteria. - Mary Regina Boland; Riccardo Miotto; Chunhua Weng (MedInfo, 2013)

A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria. - Zhihui Luo 001; Riccardo Miotto; Chunhua Weng (J. Biomed. Informatics, 2013)

eTACTS: A method for dynamically filtering clinical trial search results. - Riccardo Miotto; Silis Y. Jiang; Chunhua Weng (J. Biomed. Informatics, 2013)

Unsupervised mining of frequent tags for clinical eligibility text indexing. - Riccardo Miotto; Chunhua Weng (J. Biomed. Informatics, 2013)

Patients Screening for Clinical Trials Using EHR Representation Similarities. - Riccardo Miotto; Chunhua Weng (AMIA, 2014)

Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials. - Riccardo Miotto; Chunhua Weng (J. Am. Medical Informatics Assoc., 2015)

Deep Learning to Predict Patient Future Diseases from the Electronic Health Records. - Riccardo Miotto; Li Li 062; Joel T. Dudley (ECIR, 2016)

Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. - Khader Shameer; Kipp W. Johnson; Alexandre Yahi; Riccardo Miotto; Li Li 062; Doran Ricks; Jebakumar Jebakaran; Patricia H. Kovatch; Partho P. Sengupta; Annetine Gelijns; Alan Moskovitz; Bruce Darrow; et al. (PSB, 2017)

Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams. - Khader Shameer; Marcus A. Badgeley; Riccardo Miotto; Benjamin S. Glicksberg; Joseph W. Morgan; Joel T. Dudley (Briefings Bioinform., 2017)

Automated disease cohort selection using word embeddings from Electronic Health Records. - Benjamin S. Glicksberg; Riccardo Miotto; Kipp W. Johnson; Khader Shameer; Li Li 062; Rong Chen 006; Joel T. Dudley (PSB, 2018)

Deep learning for healthcare: review, opportunities and challenges. - Riccardo Miotto; Fei Wang 001; Shuang Wang 002; Xiaoqian Jiang; Joel T. Dudley (Briefings Bioinform., 2018)

Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. - Khader Shameer; Benjamin S. Glicksberg; Rachel Hodos; Kipp W. Johnson; Marcus A. Badgeley; Ben Readhead; Max S. Tomlinson; Timothy O'Connor; Riccardo Miotto; Brian A. Kidd; Rong Chen 006; Avi Ma'ayan; et al. (Briefings Bioinform., 2018)

Uncovering exposures responsible for birth season - disease effects: a global study. - Mary Regina Boland; Pradipta Parhi; Li Li 062; Riccardo Miotto; Robert J. Carroll; Usman Iqbal; Phung-Anh (Alex) Nguyen; Martijn J. Schuemie; Seng Chan You; Donahue Smith; Sean D. Mooney; Patrick B. Ryan; et al. (J. Am. Medical Informatics Assoc., 2018)

Reflecting health: smart mirrors for personalized medicine. - Riccardo Miotto; Matteo Danieletto; Jerome R. Scelza; Brian A. Kidd; Joel T. Dudley (npj Digit. Medicine, 2018)

Enhancing high-content imaging for studying microtubule networks at large-scale. - Hao-Chih Lee; Sarah T. Cherng; Riccardo Miotto; Joel T. Dudley (MLHC, 2019)

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. - Benjamin S. Glicksberg; Boris Oskotsky; Phyllis M. Thangaraj; Nicholas Giangreco; Marcus A. Badgeley; Kipp W. Johnson; Debajyoti Datta; Vivek A. Rudrapatna; Nadav Rappoport; Mark M. Shervey; Riccardo Miotto; Theodore C. Goldstein; et al. (Bioinform., 2019)

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. - Seyedmostafa Sheikhalishahi; Riccardo Miotto; Joel T. Dudley; Alberto Lavelli; Fabio Rinaldi 001; Venet Osmani (CoRR, 2019)

Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. - Tingyi Wanyan; Martin Kang; Marcus A. Badgeley; Kipp W. Johnson; Jessica K. De Freitas; Fayzan F. Chaudhry; Akhil Vaid; Shan Zhao; Riccardo Miotto; Girish N. Nadkarni; Fei Wang 001; Justin F. Rousseau; et al. (AIME, 2020)

Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks. - Hao-Chih Lee; Matteo Danieletto; Riccardo Miotto; Sarah T. Cherng; Joel T. Dudley (PSB, 2020)

Deep representation learning of electronic health records to unlock patient stratification at scale. - Isotta Landi; Benjamin S. Glicksberg; Hao-Chih Lee; Sarah T. Cherng; Giulia Landi; Matteo Danieletto; Joel T. Dudley; Cesare Furlanello; Riccardo Miotto (npj Digit. Medicine, 2020)

Sleep in the Natural Environment: A Pilot Study. - Fayzan F. Chaudhry; Matteo Danieletto; Eddye Golden; Jerome R. Scelza; Greg Botwin; Mark M. Shervey; Jessica K. De Freitas; Ishan Paranjpe; Girish N. Nadkarni; Riccardo Miotto; Patricia Glowe; Greg Stock; et al. (Sensors, 2020)

Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records. - Melanie Hackl; Suparno Datta; Riccardo Miotto; Erwin P. Böttinger (AIME, 2021)

Domain-Specific Event Abstraction. - Finn Klessascheck; Tom Lichtenstein; Martin Meier; Simon Remy; Jan-Philipp Sachs; Luise Pufahl; Riccardo Miotto; Erwin P. Böttinger; Mathias Weske (BIS, 2021)

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. - Tingyi Wanyan; Hossein Honarvar; Suraj K. Jaladanki; Chengxi Zang; Nidhi Naik; Sulaiman Somani; Jessica K. De Freitas; Ishan Paranjpe; Akhil Vaid; Riccardo Miotto; Girish N. Nadkarni; Marinka Zitnik; et al. (CoRR, 2021)

Active learning for medical code assignment. - Martha Dais Ferreira; Michal Malyska; Nicola Sahar; Riccardo Miotto; Fernando V. Paulovich; Evangelos E. Milios (CoRR, 2021)

Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records. - Jessica K. De Freitas; Kipp W. Johnson; Eddye Golden; Girish N. Nadkarni; Joel T. Dudley; Erwin P. Bottinger; Benjamin S. Glicksberg; Riccardo Miotto (Patterns, 2021)

Contrastive learning improves critical event prediction in COVID-19 patients. - Tingyi Wanyan; Hossein Honarvar; Suraj K. Jaladanki; Chengxi Zang; Nidhi Naik; Sulaiman Somani; Jessica K. De Freitas; Ishan Paranjpe; Akhil Vaid; Jing Zhang; Riccardo Miotto; Zhangyang Wang; et al. (Patterns, 2021)

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. - Tingyi Wanyan; Akhil Vaid; Jessica K. De Freitas; Sulaiman Somani; Riccardo Miotto; Girish N. Nadkarni; Ariful Azad; Ying Ding 001; Benjamin S. Glicksberg (IEEE Trans. Big Data, 2021)

Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping. - Will E. Thompson; David M. Vidmar; Jessica K. De Freitas; John M. Pfeifer; Brandon K. Fornwalt; Ruijun Chen; Gabriel Altay; Kabir Manghnani; Andrew C. Nelsen; Kellie Morland; Martin C. Stumpe; Riccardo Miotto (CoRR, 2023)

A probabilistic approach for building disease phenotypes across electronic health records. - David M. Vidmar; Jessica K. De Freitas; Will E. Thompson; John M. Pfeifer; Brandon K. Fornwalt; Noah Zimmerman; Riccardo Miotto; Ruijun Chen (BioData Min., 2025)