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2020 – today
- 2023
[i7]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:
Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping. CoRR abs/2312.06457 (2023)- 2021
- [j17]Jessica K. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Bottinger, Benjamin S. Glicksberg, Riccardo Miotto:
Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records. Patterns 2(9): 100337 (2021) - [j16]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:
Contrastive learning improves critical event prediction in COVID-19 patients. Patterns 2(12): 100389 (2021) - [j15]Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. IEEE Trans. Big Data 7(1): 38-44 (2021) - [c27]Melanie Hackl, Suparno Datta, Riccardo Miotto, Erwin P. Böttinger:
Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records. AIME 2021: 219-228 - [c26]Finn Klessascheck, Tom Lichtenstein, Martin Meier, Simon Remy, Jan-Philipp Sachs, Luise Pufahl, Riccardo Miotto, Erwin P. Böttinger, Mathias Weske:
Domain-Specific Event Abstraction. BIS 2021: 117-126 - [i6]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:
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR abs/2101.04013 (2021) - [i5]Martha Dais Ferreira, Michal Malyska, Nicola Sahar, Riccardo Miotto, Fernando V. Paulovich, Evangelos E. Milios:
Active learning for medical code assignment. CoRR abs/2104.05741 (2021) - 2020
- [j14]Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto:
Deep representation learning of electronic health records to unlock patient stratification at scale. npj Digit. Medicine 3 (2020) - [j13]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:
Sleep in the Natural Environment: A Pilot Study. Sensors 20(5): 1378 (2020) - [c25]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:
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME 2020: 14-25 - [c24]Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley:
Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks. PSB 2020: 391-402 - [i4]Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto:
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale. CoRR abs/2003.06516 (2020)
2010 – 2019
- 2019
- [j12]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:
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 35(21): 4515-4518 (2019) - [c23]Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley:
Enhancing high-content imaging for studying microtubule networks at large-scale. MLHC 2019: 592-613 - [i3]Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani:
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. CoRR abs/1908.05780 (2019) - [i2]Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley:
Enhancing high-content imaging for studying microtubule networks at large-scale. CoRR abs/1910.00662 (2019) - [i1]Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley:
Scaling structural learning with NO-BEARS to infer causal transcriptome networks. CoRR abs/1911.00081 (2019) - 2018
- [j11]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:
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. Briefings Bioinform. 19(4): 656-678 (2018) - [j10]Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley:
Deep learning for healthcare: review, opportunities and challenges. Briefings Bioinform. 19(6): 1236-1246 (2018) - [j9]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:
Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. 25(3): 275-288 (2018) - [j8]Riccardo Miotto, Matteo Danieletto, Jerome R. Scelza, Brian A. Kidd, Joel T. Dudley:
Reflecting health: smart mirrors for personalized medicine. npj Digit. Medicine 1 (2018) - [c22]Benjamin S. Glicksberg, Riccardo Miotto, Kipp W. Johnson, Khader Shameer, Li Li, Rong Chen, Joel T. Dudley:
Automated disease cohort selection using word embeddings from Electronic Health Records. PSB 2018: 145-156 - 2017
- [j7]Khader Shameer, Marcus A. Badgeley, Riccardo Miotto, Benjamin S. Glicksberg, Joseph W. Morgan, Joel T. Dudley:
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams. Briefings Bioinform. 18(1): 105-124 (2017) - [c21]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:
Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. PSB 2017: 276-287 - 2016
- [c20]Riccardo Miotto, Li Li, Joel T. Dudley:
Deep Learning to Predict Patient Future Diseases from the Electronic Health Records. ECIR 2016: 768-774 - 2015
- [j6]Riccardo Miotto, Chunhua Weng:
Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials. J. Am. Medical Informatics Assoc. 22(e1): e141-e150 (2015) - 2014
- [c19]Riccardo Miotto, Chunhua Weng:
Patients Screening for Clinical Trials Using EHR Representation Similarities. AMIA 2014 - 2013
- [j5]Zhihui Luo, Riccardo Miotto, Chunhua Weng:
A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria. J. Biomed. Informatics 46(1): 33-39 (2013) - [j4]Riccardo Miotto, Silis Y. Jiang, Chunhua Weng:
eTACTS: A method for dynamically filtering clinical trial search results. J. Biomed. Informatics 46(6): 1060-1067 (2013) - [j3]Riccardo Miotto, Chunhua Weng:
Unsupervised mining of frequent tags for clinical eligibility text indexing. J. Biomed. Informatics 46(6): 1145-1151 (2013) - [c18]Riccardo Miotto, Chunhua Weng:
eTACTS: an Eligibility Tag Cloud-based Clinical Trial Search Engine. AMIA 2013 - [c17]Mary Regina Boland, Riccardo Miotto, Chunhua Weng:
A Method for Probing Disease Relatedness Using Common Clinical Eligibility Criteria. MedInfo 2013: 481-485 - 2012
- [j2]Riccardo Miotto, Gert R. G. Lanckriet:
A Generative Context Model for Semantic Music Annotation and Retrieval. IEEE Trans. Speech Audio Process. 20(4): 1096-1108 (2012) - [j1]Riccardo Miotto, Nicola Orio:
A Probabilistic Model to Combine Tags and Acoustic Similarity for Music Retrieval. ACM Trans. Inf. Syst. 30(2): 8:1-8:29 (2012) - 2011
- [b1]Riccardo Miotto:
Content-based music access. University of Padua, Italy, 2011 - [c16]Riccardo Miotto, Nicola Orio:
Accessing Music Digital Libraries by Combining Semantic Tags and Audio Content. IRCDL 2011: 26-37 - [c15]Maristella Agosti, Birgit Alber, Paola Benincà, Giorgio Maria Di Nunzio, Marco Dussin, Riccardo Miotto, Diego Pescarini, Stefan Rabanus, Alessandra Tomaselli:
ASIt: A Grammatical Survey of Italian Dialects and Cimbrian: Fieldwork, Data Management, and Linguistic Analysis. IRCDL 2011: 100-103 - [c14]Nicola Orio, David Rizo, Riccardo Miotto, Markus Schedl, Nicola Montecchio, Olivier Lartillot:
MusiCLEF: a Benchmark Activity in Multimodal Music Information Retrieval. ISMIR 2011: 603-608 - [c13]Emanuele Coviello, Riccardo Miotto, Gert R. G. Lanckriet:
Combining Content-Based Auto-Taggers with Decision-Fusion. ISMIR 2011: 705-710 - 2010
- [c12]Maristella Agosti, Paola Benincà, Giorgio Maria Di Nunzio, Riccardo Miotto, Diego Pescarini:
A Digital Library Effort to Support the Building of Grammatical Resources for Italian Dialects. IRCDL 2010: 89-100 - [c11]Riccardo Miotto, Nicola Montecchio, Nicola Orio:
Content-Based Cover Song Identification in Music Digital Libraries. IRCDL 2010: 195-204 - [c10]Riccardo Miotto, Nicola Orio:
A Probabilistic Approach to Merge Context and Content Information for Music Retrieval. ISMIR 2010: 15-20 - [c9]Riccardo Miotto, Luke Barrington, Gert R. G. Lanckriet:
Improving Auto-tagging by Modeling Semantic Co-occurrences. ISMIR 2010: 297-302 - [p1]Riccardo Miotto, Nicola Montecchio, Nicola Orio:
Statistical Music Modeling Aimed at Identification and Alignment. Advances in Music Information Retrieval 2010: 187-212
2000 – 2009
- 2009
- [c8]Emanuele Di Buccio, Ivano Masiero, Yosi Mass, Massimo Melucci, Riccardo Miotto, Nicola Orio, Benjamin Sznajder:
Towards an Integrated Approach to Music Retrieval. IRCDL 2009: 80-87 - [c7]Emanuele Di Buccio, Nicola Ferro, Massimo Melucci, Riccardo Miotto, Nicola Orio:
Design of an Information Retrieval System Based on the Peer-to-Peer Paradigm: An Application to Music Retrieval. IRCDL 2009: 100-107 - 2008
- [c6]Riccardo Miotto, Nicola Orio:
Towards a Content-based Music Search Engine. IRCDL 2008: 23-28 - [c5]Riccardo Miotto, Nicola Orio:
A Music Identification System Based on Chroma Indexing and Statistical Modeling. ISMIR 2008: 301-306 - 2007
- [c4]Riccardo Miotto, Nicola Orio:
Automatic Identification of Music Works Through Audio Matching. ECDL 2007: 124-135 - [c3]Riccardo Miotto, Nicola Orio:
Recognition of Music Performances through Audio Matching. IRCDL 2007: 22-23 - [c2]Riccardo Miotto, Nicola Orio:
A Methodology for the Segmentation and Identification of Music Works. ISMIR 2007: 273-278 - [c1]Maristella Agosti, Emanuele Di Buccio, Giorgio Maria Di Nunzio, Nicola Ferro, Massimo Melucci, Riccardo Miotto, Nicola Orio:
Distributed Information Retrieval and Automatic Identification of Music Works in SAPIR. SEBD 2007: 479-482
Coauthor Index
aka: Joel T. Dudley
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