Search Results - "Venkatesh, Svetha"

Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety by Huckvale, Kit, Venkatesh, Svetha, Christensen, Helen

“…The use of data generated passively by personal electronic devices, such as smartphones, to measure human function in health and disease has generated…”
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Bayesian Optimization for Adaptive Experimental Design: A Review by Greenhill, Stewart, Rana, Santu, Gupta, Sunil, Vellanki, Pratibha, Venkatesh, Svetha

“…Bayesian optimisation is a statistical method that efficiently models and optimises expensive "black-box" functions. This review considers the application of…”
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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View by Luo, Wei, Phung, Dinh, Tran, Truyen, Gupta, Sunil, Rana, Santu, Karmakar, Chandan, Shilton, Alistair, Yearwood, John, Dimitrova, Nevenka, Ho, Tu Bao, Venkatesh, Svetha, Berk, Michael

“…As more and more researchers are turning to big data for new opportunities of biomedical discoveries, machine learning models, as the backbone of big data…”
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Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection by Gong, Dong, Liu, Lingqiao, Le, Vuong, Saha, Budhaditya, Mansour, Moussa Reda, Venkatesh, Svetha, Van Den Hengel, Anton

“…Deep autoencoder has been extensively used for anomaly detection. Training on the normal data, the autoencoder is expected to produce higher reconstruction…”
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Hierarchical Conditional Relation Networks for Multimodal Video Question Answering by Le, Thao Minh, Le, Vuong, Venkatesh, Svetha, Tran, Truyen

“…Video Question Answering (Video QA) challenges modelers in multiple fronts. Modeling video necessitates building not only spatio-temporal models for the…”
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Detection of epileptic seizure based on entropy analysis of short-term EEG by Li, Peng, Karmakar, Chandan, Yearwood, John, Venkatesh, Svetha, Palaniswami, Marimuthu, Liu, Changchun

“…Entropy measures that assess signals' complexity have drawn increasing attention recently in biomedical field, as they have shown the ability of capturing…”
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Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos by Morais, Romero, Le, Vuong, Tran, Truyen, Saha, Budhaditya, Mansour, Moussa, Venkatesh, Svetha

“…Appearance features have been widely used in video anomaly detection even though they contain complex entangled factors. We propose a new method to model the…”
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Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome by Le, Vuong, Quinn, Thomas P, Tran, Truyen, Venkatesh, Svetha

“…Technological advances in next-generation sequencing (NGS) and chromatographic assays [e.g., liquid chromatography mass spectrometry (LC-MS)] have made it…”
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Affective and Content Analysis of Online Depression Communities by Thin Nguyen, Dinh Phung, Bo Dao, Venkatesh, Svetha, Berk, Michael

“…A large number of people use online communities to discuss mental health issues, thus offering opportunities for new understanding of these communities. This…”
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Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression by An, Senjian, Liu, Wanquan, Venkatesh, Svetha

“…Given n training examples, the training of a least squares support vector machine (LS-SVM) or kernel ridge regression (KRR) corresponds to solving a linear…”
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Rapid Bayesian optimisation for synthesis of short polymer fiber materials by Li, Cheng, Rubín de Celis Leal, David, Rana, Santu, Gupta, Sunil, Sutti, Alessandra, Greenhill, Stewart, Slezak, Teo, Height, Murray, Venkatesh, Svetha

“…The discovery of processes for the synthesis of new materials involves many decisions about process design, operation, and material properties. Experimentation…”
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Efficient Algorithms for Robust Recovery of Images From Compressed Data by Duc-Son Pham, Venkatesh, Svetha

“…Compressed sensing (CS) is an important theory for sub-Nyquist sampling and recovery of compressible data. Recently, it has been extended to cope with the case…”
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The relationship between linguistic expression in blog content and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study by O'Dea, Bridianne, Boonstra, Tjeerd W, Larsen, Mark E, Nguyen, Thin, Venkatesh, Svetha, Christensen, Helen

“…Data generated within social media platforms may present a new way to identify individuals who are experiencing mental illness. This study aimed to investigate…”
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Efficient duration and hierarchical modeling for human activity recognition by Duong, Thi, Phung, Dinh, Bui, Hung, Venkatesh, Svetha

“…A challenge in building pervasive and smart spaces is to learn and recognize human activities of daily living (ADLs). In this paper, we address this problem…”
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DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types by Beykikhoshk, Adham, Quinn, Thomas P, Lee, Samuel C, Tran, Truyen, Venkatesh, Svetha

“…Breast cancer is a collection of multiple tissue pathologies, each with a distinct molecular signature that correlates with patient prognosis and response to…”
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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View by Luo, Wei, Phung, Dinh, Tran, Truyen, Gupta, Sunil, Rana, Santu, Karmakar, Chandan, Shilton, Alistair, Yearwood, John, Dimitrova, Nevenka, Ho, Tu Bao, Venkatesh, Svetha, Berk, Michael

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Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning by Fernandes, Brisa S., Karmakar, Chandan, Tamouza, Ryad, Tran, Truyen, Yearwood, John, Hamdani, Nora, Laouamri, Hakim, Richard, Jean-Romain, Yolken, Robert, Berk, Michael, Venkatesh, Svetha, Leboyer, Marion

“…Precision psychiatry is attracting increasing attention lately as a recognized priority. One of the goals of precision psychiatry is to develop tools capable…”
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Stability, Consistency and Performance of Distribution Entropy in Analysing Short Length Heart Rate Variability (HRV) Signal by Karmakar, Chandan, Udhayakumar, Radhagayathri K, Li, Peng, Venkatesh, Svetha, Palaniswami, Marimuthu

“…Distribution entropy ( ) is a recently developed measure of complexity that is used to analyse heart rate variability (HRV) data. Its calculation requires two…”
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Identification of predictors and model for predicting prolonged length of stay in dengue patients by Shahid Ansari, Md, Jain, Dinesh, Harikumar, Haripriya, Rana, Santu, Gupta, Sunil, Budhiraja, Sandeep, Venkatesh, Svetha

“…Purpose: Our objective is to identify the predictive factors and predict hospital length of stay (LOS) in dengue patients, for efficient utilization of…”
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Graph Memory Networks for Molecular Activity Prediction by Pham, Trang, Tran, Truyen, Venkatesh, Svetha

“…Molecular activity prediction is critical in drug design. Machine learning techniques such as kernel methods and random forests have been successful for this…”
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