Riccardo Miotto

54 papers A 1B 2Misc 5Journal 25Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A probabilistic approach for building disease phenotypes across electronic health records. BioData Min. David M. Vidmar, Jessica K. De Freitas, Will E. Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen
2023	J	`jnl`	Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping. CoRR 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
2021	J	`jnl`	Active learning for medical code assignment. CoRR Martha Dais Ferreira, Michal Malyska, Nicola Sahar, Riccardo Miotto, Fernando V. Paulovich, Evangelos E. Milios
2021	J	`jnl`	Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR 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, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021	J	`jnl`	Contrastive learning improves critical event prediction in COVID-19 patients. Patterns 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, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021	—	`conf`	Domain-Specific Event Abstraction. BIS Finn Klessascheck, Tom Lichtenstein, Martin Meier, Simon Remy, Jan-Philipp Sachs, Luise Pufahl, Riccardo Miotto, Erwin P. Böttinger, Mathias Weske
2021	J	`jnl`	Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records. Patterns Jessica K. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Bottinger, Benjamin S. Glicksberg, Riccardo Miotto
2021	J	`jnl`	Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. IEEE Trans. Big Data Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2021	B	`conf`	Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records. AIME Melanie Hackl, Suparno Datta, Riccardo Miotto, Erwin P. Böttinger
2020	J	`jnl`	Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale. CoRR Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
2020	J	`jnl`	Deep representation learning of electronic health records to unlock patient stratification at scale. npj Digit. Medicine Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
2020	B	`conf`	Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME 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, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020	Misc	`conf`	Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks. PSB Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley
2020	J	`jnl`	Sleep in the Natural Environment: A Pilot Study. Sensors 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, Bethany Percha, Noah Zimmerman, Joel T. Dudley, Benjamin S. Glicksberg
2019	—	`conf`	Enhancing high-content imaging for studying microtubule networks at large-scale. MLHC Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley
2019	J	`jnl`	Enhancing high-content imaging for studying microtubule networks at large-scale. CoRR Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley
2019	J	`jnl`	Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. CoRR Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani
2019	J	`jnl`	PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 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, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte
2019	J	`jnl`	Scaling structural learning with NO-BEARS to infer causal transcriptome networks. CoRR Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley
2018	Misc	`conf`	Automated disease cohort selection using word embeddings from Electronic Health Records. PSB Benjamin S. Glicksberg, Riccardo Miotto, Kipp W. Johnson, Khader Shameer, Li Li, Rong Chen, Joel T. Dudley
2018	J	`jnl`	Deep learning for healthcare: review, opportunities and challenges. Briefings Bioinform. Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley
2018	J	`jnl`	Reflecting health: smart mirrors for personalized medicine. npj Digit. Medicine Riccardo Miotto, Matteo Danieletto, Jerome R. Scelza, Brian A. Kidd, Joel T. Dudley
2018	J	`jnl`	Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. Briefings Bioinform. 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, Avi Ma'ayan, Joel T. Dudley
2018	J	`jnl`	Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. Mary Regina Boland, Pradipta Parhi, Li Li, 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, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti
2017	Misc	`conf`	Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. PSB Khader Shameer, Kipp W. Johnson, Alexandre Yahi, Riccardo Miotto, Li Li, Doran Ricks, Jebakumar Jebakaran, Patricia H. Kovatch, Partho P. Sengupta, Annetine Gelijns, Alan Moskovitz, Bruce Darrow, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Deborah F. Pinney, Joel T. Dudley
2017	J	`jnl`	Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams. Briefings Bioinform. Khader Shameer, Marcus A. Badgeley, Riccardo Miotto, Benjamin S. Glicksberg, Joseph W. Morgan, Joel T. Dudley
2016	A	`conf`	Deep Learning to Predict Patient Future Diseases from the Electronic Health Records. ECIR Riccardo Miotto, Li Li, Joel T. Dudley
2015	J	`jnl`	Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials. J. Am. Medical Informatics Assoc. Riccardo Miotto, Chunhua Weng
2014	Misc	`conf`	Patients Screening for Clinical Trials Using EHR Representation Similarities. AMIA Riccardo Miotto, Chunhua Weng
2013	—	`conf`	A Method for Probing Disease Relatedness Using Common Clinical Eligibility Criteria. MedInfo Mary Regina Boland, Riccardo Miotto, Chunhua Weng
2013	J	`jnl`	A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria. J. Biomed. Informatics Zhihui Luo, Riccardo Miotto, Chunhua Weng
2013	J	`jnl`	Unsupervised mining of frequent tags for clinical eligibility text indexing. J. Biomed. Informatics Riccardo Miotto, Chunhua Weng
2013	J	`jnl`	eTACTS: A method for dynamically filtering clinical trial search results. J. Biomed. Informatics Riccardo Miotto, Silis Y. Jiang, Chunhua Weng
2013	Misc	`conf`	eTACTS: an Eligibility Tag Cloud-based Clinical Trial Search Engine. AMIA Riccardo Miotto, Chunhua Weng
2012	J	`jnl`	A Generative Context Model for Semantic Music Annotation and Retrieval. IEEE Trans. Speech Audio Process. Riccardo Miotto, Gert R. G. Lanckriet
2012	J	`jnl`	A Probabilistic Model to Combine Tags and Acoustic Similarity for Music Retrieval. ACM Trans. Inf. Syst. Riccardo Miotto, Nicola Orio
2011	—	`conf`	ASIt: A Grammatical Survey of Italian Dialects and Cimbrian: Fieldwork, Data Management, and Linguistic Analysis. IRCDL Maristella Agosti, Birgit Alber, Paola Benincà, Giorgio Maria Di Nunzio, Marco Dussin, Riccardo Miotto, Diego Pescarini, Stefan Rabanus, Alessandra Tomaselli
2011	—	`conf`	Accessing Music Digital Libraries by Combining Semantic Tags and Audio Content. IRCDL Riccardo Miotto, Nicola Orio
2011	—	`conf`	Combining Content-Based Auto-Taggers with Decision-Fusion. ISMIR Emanuele Coviello, Riccardo Miotto, Gert R. G. Lanckriet
2011	—	`—`	Content-based music access. Riccardo Miotto
2011	—	`conf`	MusiCLEF: a Benchmark Activity in Multimodal Music Information Retrieval. ISMIR Nicola Orio, David Rizo, Riccardo Miotto, Markus Schedl, Nicola Montecchio, Olivier Lartillot
2010	—	`conf`	A Digital Library Effort to Support the Building of Grammatical Resources for Italian Dialects. IRCDL Maristella Agosti, Paola Benincà, Giorgio Maria Di Nunzio, Riccardo Miotto, Diego Pescarini
2010	—	`conf`	A Probabilistic Approach to Merge Context and Content Information for Music Retrieval. ISMIR Riccardo Miotto, Nicola Orio
2010	—	`conf`	Content-Based Cover Song Identification in Music Digital Libraries. IRCDL Riccardo Miotto, Nicola Montecchio, Nicola Orio
2010	—	`conf`	Improving Auto-tagging by Modeling Semantic Co-occurrences. ISMIR Riccardo Miotto, Luke Barrington, Gert R. G. Lanckriet
2010	—	`ch.`	Statistical Music Modeling Aimed at Identification and Alignment. Advances in Music Information Retrieval Riccardo Miotto, Nicola Montecchio, Nicola Orio
2009	—	`conf`	Design of an Information Retrieval System Based on the Peer-to-Peer Paradigm: An Application to Music Retrieval. IRCDL Emanuele Di Buccio, Nicola Ferro, Massimo Melucci, Riccardo Miotto, Nicola Orio
2009	—	`conf`	Towards an Integrated Approach to Music Retrieval. IRCDL Emanuele Di Buccio, Ivano Masiero, Yosi Mass, Massimo Melucci, Riccardo Miotto, Nicola Orio, Benjamin Sznajder
2008	—	`conf`	A Music Identification System Based on Chroma Indexing and Statistical Modeling. ISMIR Riccardo Miotto, Nicola Orio
2008	—	`conf`	Towards a Content-based Music Search Engine. IRCDL Riccardo Miotto, Nicola Orio
2007	—	`conf`	A Methodology for the Segmentation and Identification of Music Works. ISMIR Riccardo Miotto, Nicola Orio
2007	—	`conf`	Automatic Identification of Music Works Through Audio Matching. ECDL Riccardo Miotto, Nicola Orio
2007	—	`conf`	Distributed Information Retrieval and Automatic Identification of Music Works in SAPIR. SEBD Maristella Agosti, Emanuele Di Buccio, Giorgio Maria Di Nunzio, Nicola Ferro, Massimo Melucci, Riccardo Miotto, Nicola Orio
2007	—	`conf`	Recognition of Music Performances through Audio Matching. IRCDL Riccardo Miotto, Nicola Orio