Samuel Kim

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 27

Top Topics

Unsupervised Learning

Symbolic Regression

Automatic Detection

Top Venues

Publications

Samuel Kim, Min-Sang Kim
Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures. CoRR (2024)
Sunwoong Choi, Samuel Kim
Data augmentation method for modeling health records with applications to clopidogrel treatment failure detection. CoRR (2024)
Samuel Kim, Ingu Sean Lee, Mijeong Irene Ban, Jane Chiang
Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health records. CoRR (2023)
Sean Kim, Eliot Yoo, Samuel Kim
Why Do Students Drop Out? University Dropout Prediction and Associated Factor Analysis Using Machine Learning Techniques. CoRR (2023)
Won Joon Yun, Samuel Kim, Joongheon Kim
Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare. CoRR (2023)
Soojin Lee, Ingu Sean Lee, Samuel Kim
Predicting Development of Chronic Obstructive Pulmonary Disease and its Risk Factor Analysis. CoRR (2023)
Sean Kim, Samuel Kim
Automatic prediction of mortality in patients with mental illness using electronic health records. CoRR (2023)
Willie Kang, Sean Kim, Eliot Yoo, Samuel Kim
Predicting Students' Exam Scores Using Physiological Signals. CoRR (2023)
Soojin Lee, Ingu Sean Lee, Samuel Kim
Predicting Development of Chronic Obstructive Pulmonary Disease and its Risk Factor Analysis. EMBC (2023)
Garrett Parker, Samuel Kim, Abdullah Al Maruf, Tomás Cerný, Karel Frajták, Pavel Tisnovsky, Davide Taibi
Visualizing Anti-Patterns in Microservices at Runtime: A Systematic Mapping Study. IEEE Access 11 (2023)
Won Joon Yun, Samuel Kim, Joongheon Kim
Multi-Site Clinical Federated Learning Using Recursive and Attentive Models and NVFlare. ICDCS (2023)
Dipta Das, Md Rofiqul Islam, Samuel Kim, Tomás Cerný, Karel Frajták, Miroslav Bures, Pavel Tisnovsky
Analyzing Technical Debt by Mapping Production Logs with Source Code. SDSC (2022)
Michael Zhang, Samuel Kim, Peter Y. Lu, Marin Soljacic
Deep Learning and Symbolic Regression for Discovering Parametric Equations. CoRR (2022)
Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure. Trans. Mach. Learn. Res. 2022 (2022)
Young-Seong Cho, Samuel Kim, Jee-Hyong Lee
Source Model Selection for Transfer Learning of Image Classification using Supervised Contrastive Loss. BigComp (2021)
Samuel Kim, Peter Y. Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. IEEE Trans. Neural Networks Learn. Syst. 32 (9) (2021)
Charlotte Loh, Thomas Christensen, Rumen Dangovski, Samuel Kim, Marin Soljacic
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science. CoRR (2021)
Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic
Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems. CoRR (2021)
Namhee Kwon, Samuel Kim
Depression Severity Detection Using Read Speech with a Divide-and-Conquer Approach. EMBC (2021)
Min-Sub Won, YunSeok Choi, Samuel Kim, CheolWon Na, Jee-Hyong Lee
An embedding method for unseen words considering contextual information and morphological information. SAC (2021)
Allan Costa, Rumen Dangovski, Samuel Kim, Pawan Goyal, Marin Soljacic, Joseph Jacobson
Interpretable Neuroevolutionary Models for Learning Non-Differentiable Functions and Programs. CoRR (2020)
Samuel Kim, Namhee Kwon, Henry O'Connell, Nathan Fisk, Scott Ferguson, Mark Bartlett
"How are you?" Estimation of anxiety, sleep quality, and mood using computational voice analysis. EMBC (2020)
Samuel Kim, Peter Y. Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. CoRR (2019)
Samuel Kim, Namhee Kwon, Henry O'Connell
Toward estimating personal well-being using voice. CoRR (2019)
Peter Y. Lu, Samuel Kim, Marin Soljacic
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning. CoRR (2019)
Rohil Verma, Samuel Kim, David Walter
Syntactical Analysis of the Weaknesses of Sentiment Analyzers. EMNLP (2018)
Samuel Kim, David Shrekenhamer, Jeffrey Will, Ra'id Awadallah, Joseph A. Miragliotta
High impedance holographic metasurfaces for conformal and high gain antenna applications. CCNC (2018)
Samuel Kim, Fabio Valente, Maurizio Filippone, Alessandro Vinciarelli
Predicting Continuous Conflict Perceptionwith Bayesian Gaussian Processes. IEEE Trans. Affect. Comput. 5 (2) (2014)
Jung-Won Lee, Samuel Kim, Hong-Goo Kang
Detecting pathological speech using contour modeling of harmonic-to-noise ratio. ICASSP (2014)
Eric W. Hall, Samuel Kim, Visham Appadoo, Richard N. Zare
Lysis of a Single Cyanobacterium for Whole Genome Amplification. Micromachines 4 (3) (2013)
Jung-Won Lee, Hong-Goo Kang, Samuel Kim, Yoonjae Lee
Detecting pathological speech using local and global characteristics of harmonic-to-noise ratio. APSIPA (2013)
Samuel Kim, Fabio Valente, Alessandro Vinciarelli
Annotation and detection of conflict escalation in Political debates. INTERSPEECH (2013)
Samuel Kim, Panayiotis G. Georgiou, Shrikanth S. Narayanan
On-line genre classification of TV programs using audio content. ICASSP (2013)
Björn W. Schuller, Stefan Steidl, Anton Batliner, Alessandro Vinciarelli, Klaus R. Scherer, Fabien Ringeval, Mohamed Chetouani, Felix Weninger, Florian Eyben, Erik Marchi, Marcello Mortillaro, Hugues Salamin, Anna Polychroniou, Fabio Valente, Samuel Kim
The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism. INTERSPEECH (2013)
Samuel Kim, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Annotation and classification of Political advertisements. INTERSPEECH (2013)
Fabio Valente, Samuel Kim, Petr Motlícek
Annotation and Recognition of Personality Traits in Spoken Conversations from the AMI Meetings Corpus. INTERSPEECH (2012)
Samuel Kim, Sree Harsha Yella, Fabio Valente
Automatic detection of conflict escalation in spoken conversations. INTERSPEECH (2012)
Samuel Kim, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Supervised acoustic topic model with a consequent classifier for unstructured audio classification. CBMI (2012)
Samuel Kim, Fabio Valente, Alessandro Vinciarelli
Automatic detection of conflicts in spoken conversations: Ratings and analysis of broadcast political debates. ICASSP (2012)
Samuel Kim, Maurizio Filippone, Fabio Valente, Alessandro Vinciarelli
Predicting the conflict level in television political debates: an approach based on crowdsourcing, nonverbal communication and gaussian processes. ACM Multimedia (2012)
Samuel Kim, Ming Li, Sangwon Lee, Urbashi Mitra, B. Adar Emken, Donna Spruijt-Metz, Murali Annavaram, Shrikanth S. Narayanan
Modeling high-level descriptions of real-life physical activities using latent topic modeling of multimodal sensor signals. EMBC (2011)
Daniel Bone, Samuel Kim, Sungbok Lee, Shrikanth S. Narayanan
A study of intra-speaker and inter-speaker affective variability using electroglottograph and inverse filtered glottal waveforms. INTERSPEECH (2010)
Samuel Kim, Panayiotis G. Georgiou, Shrikanth S. Narayanan, Shiva Sundaram
Using naïve text queries for robust audio information retrieval. ICASSP (2010)
Samuel Kim, Shiva Sundaram, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Acoustic stopwords for unstructured audio information retrieval. EUSIPCO (2010)
Samuel Kim, Shiva Sundaram, Panayiotis G. Georgiou, Shrikanth S. Narayanan
An N-gram model for unstructured audio signals toward information retrieval. MMSP (2010)
Samuel Kim, Panayiotis G. Georgiou, Shrikanth S. Narayanan
A robust harmony structure modeling scheme for classical music opus identification. ICASSP (2009)
Samuel Kim, Shrikanth S. Narayanan, Shiva Sundaram
Acoustic topic model for audio information retrieval. WASPAA (2009)
Samuel Kim, Shrikanth S. Narayanan
Dynamic chroma feature vectors with applications to cover song identification. MMSP (2008)
Kyu Jeong Han, Samuel Kim, Shrikanth S. Narayanan
Strategies to Improve the Robustness of Agglomerative Hierarchical Clustering Under Data Source Variation for Speaker Diarization. IEEE Trans. Speech Audio Process. 16 (8) (2008)
Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N. Chang, Sungbok Lee, Shrikanth S. Narayanan
IEMOCAP: interactive emotional dyadic motion capture database. Lang. Resour. Evaluation 42 (4) (2008)
Samuel Kim, Erdem Unal, Shrikanth S. Narayanan
Music fingerprint extraction for classical music cover song identification. ICME (2008)
Samuel Kim, Panayiotis G. Georgiou, Sungbok Lee, Shrikanth S. Narayanan
Real-time Emotion Detection System using Speech: Multi-modal Fusion of Different Timescale Features. MMSP (2007)
Kyu Jeong Han, Samuel Kim, Shrikanth S. Narayanan
Robust speaker clustering strategies to data source variation for improved speaker diarization. ASRU (2007)
Thomas Eriksson, Samuel Kim, Hong-Goo Kang, Chungyong Lee
An information-theoretic perspective on feature selection in speaker recognition. IEEE Signal Process. Lett. 12 (7) (2005)
Samuel Kim, Sung-Wan Yoon, Thomas Eriksson, Hong-Goo Kang, Dae Hee Youn
A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems. INTERSPEECH (2005)
Samuel Kim, Thomas Eriksson, Hong-Goo Kang, Dae Hee Youn
A pitch synchronous feature extraction method for speaker recognition. ICASSP (1) (2004)
Samuel Kim, Thomas Eriksson, Hong-Goo Kang
On the time variability of vocal tract for speaker recognition. INTERSPEECH (2004)
Thomas Eriksson, Samuel Kim, Hong-Goo Kang, Chungyong Lee
Theory for speaker recognition over IP. INTERSPEECH (2004)
Damianos Chatziantoniou, Michael O. Akinde, Theodore Johnson, Samuel Kim
The MD-join: An Operator for Complex OLAP. ICDE (2001)