Workshop
Workshop on Learning from Time Series for Health
Sujay Nagaraj · Walter Gerych · Sana Tonekaboni · Thomas Hartvigsen · Ahmed Alaa · Emily Fox · Anna Goldenberg
Strauss 1
Sat 11 May, midnight PDT
This in-person workshop delves into the intricacies of extracting valuable insights from healthcare time series data, aiming to deepen our comprehension of human health. The session will concentrate on two important themes within this domain: Behavioral Health and Foundational Models. Throughout the workshop, we will highlight cutting-edge approaches and solutions tailored for analyzing healthcare time series data, positioning attendees at the forefront of advancements in this field. By participating in this workshop, attendees will also become part of a diverse community committed to driving forward the boundaries of knowledge in human health.
Schedule
Sat 12:00 a.m. - 12:15 a.m.
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Opening Remarks
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Opening Remarks
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SlidesLive Video |
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Sat 12:15 a.m. - 12:45 a.m.
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Invited Talk - Mihaela van der Schaar
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Invited Talk
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SlidesLive Video |
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Sat 12:45 a.m. - 1:15 a.m.
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Invited Talk
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Invited Talk - Julia Vogt
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SlidesLive Video |
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Sat 1:15 a.m. - 2:15 a.m.
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Coffee Break and Poster Session
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Coffee Break and Poster Session 1
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Sat 2:15 a.m. - 3:00 a.m.
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Thematic Spotlight Talks
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Thematic Spotlight Talks
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SlidesLive Video |
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Sat 3:00 a.m. - 4:30 a.m.
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Lunch
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Lunch
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Sat 4:30 a.m. - 5:00 a.m.
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Invited Talk
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Invited Talk - Salar Abbaspourazad
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SlidesLive Video |
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Sat 5:00 a.m. - 5:30 a.m.
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Invited Talk
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Invited Talk - Gunnar Ratsch
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SlidesLive Video |
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Sat 5:30 a.m. - 6:30 a.m.
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Coffee Break and Poster Session 2
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Coffee Break and Poster Session 2
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Sat 6:30 a.m. - 7:55 a.m.
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Interactive Panel
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Interactive Panel with Speakers
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SlidesLive Video |
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Sat 7:55 a.m. - 8:00 a.m.
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Closing Remarks
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Closing Remarks
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SlidesLive Video |
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Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records ( Poster ) > link |
13 presentersYingbo Ma · Suraj Kolla · Dhruv Kaliraman · Victoria Nolan · Zhenhong Hu · Ziyuan Guan · Yuanfang Ren · Brooke Armfield · Tezcan Ozrazgat-Baslanti · Tyler Loftus · Parisa Rashidi · Azra Bihorac · Benjamin Shickel |
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Explainable Anomaly Detection in Sensor-based Remote Healthcare Monitoring with Adaptive Temporal Contrast ( Poster ) > link | Nivedita Bijlani · Gustavo Carneiro · Payam Barnaghi · Samaneh Kouchaki 🔗 |
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Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals ( Poster ) > link | Ran Liu · Ellen Zippi · Hadi Pouransari · Christopher Sandino · Jingping Nie · Hanlin Goh · Erdrin Azemi · Ali Moin 🔗 |
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Pretraining Sleep Staging Models without Patient Data ( Poster ) > link | Niklas Grieger · Siamak Mehrkanoon · Stephan Bialonski 🔗 |
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Pretraining Sleep Staging Models without Patient Data ( Oral ) > link | Niklas Grieger · Siamak Mehrkanoon · Stephan Bialonski 🔗 |
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Egocentric 3D Skeleton Learning in Identity-Aware Deep LSTM Network Encodes Obese-Like Motion Representations ( Poster ) > link | Jea Kwon · Moonsun Sa · Yejin Seong · Hyewon Kim · C. Lee 🔗 |
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A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy ( Poster ) > link |
13 presentersSamuel Campillo · Alain Ryser · Thomas Sutter · Ruibin Feng · Prasanth Ganesan · Brototo Deb · Kelly Brennan · Maxime Pedron · Albert Rogers · Maarten Kolk · Fleur Tjong · Sanjiv Narayan · Julia E Vogt |
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Forecasting Exercise Lapses in Individuals with Type 1 Diabetes Using State Space Models ( Poster ) > link | Rajat Doshi · Yunyang Li · Garrett Ash · Jason Liu · Laura Nally · Matthew Stults-Kolehmainen · Stuart Weinzimer · Lisa Fucito · Mark Gerstein 🔗 |
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Forecasting Exercise Lapses in Individuals with Type 1 Diabetes Using State Space Models ( Oral ) > link | Rajat Doshi · Yunyang Li · Garrett Ash · Jason Liu · Laura Nally · Matthew Stults-Kolehmainen · Stuart Weinzimer · Lisa Fucito · Mark Gerstein 🔗 |
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A Latent Variable Modeling Approach for Cognitive EEG Data: An Example From Neurolinguistics ( Poster ) > link | Davide Turco · Conor Houghton 🔗 |
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Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction ( Poster ) > link | Nabil Ibtehaz · Masood Mortazavi 🔗 |
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Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications ( Poster ) > link | Fabian Baldenweg · Manuel Burger · Gunnar Ratsch · Rita Kuznetsova 🔗 |
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Interpretable Neural Temporal Point Processes For Modelling Electronic Health Records ( Poster ) > link | bingqing liu 🔗 |
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Representation Learning of Daily Movement Data Using Text Encoders ( Poster ) > link | Alexander Capstick · Tianyu Cui · Yu Chen · Payam Barnaghi 🔗 |
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Rough Transformers for Continuous and Efficient Time-Series Modelling ( Poster ) > link | Fernando Moreno-Pino · Alvaro Arroyo · Harrison Waldon · Xiaowen Dong · Alvaro Cartea 🔗 |
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TOTEM: Tokenized Time Series Embeddings For General Time Series Analysis ( Poster ) > link | Sabera Talukder · Yisong Yue · Georgia Gkioxari 🔗 |
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Decoding EEG signals of visual brain representations with a CLIP based knowledge distillation ( Poster ) > link | Matteo Ferrante · Tommaso Boccato · Stefano Bargione · Nicola Toschi 🔗 |
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TimeFlow: An Implicit Neural Representation Approach for Continuous Time Series Modeling ( Poster ) > link | Etienne Le Naour · Louis Serrano · Léon Migus · Yuan Yin · Ghislain Agoua · Nicolas Baskiotis · patrick Gallinari · Vincent Guigue 🔗 |
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Learning Inflammatory Biomarkers from Nocturnal Breathing, BMI and Demographics ( Poster ) > link | Hao He · Dina Katabi 🔗 |
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Preprocessing Is Not Needed: An End-to-End Solution For Physiological Signals Based Emotion Recognition ( Poster ) > link | Ziqing Yang · Houwei Cao 🔗 |
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Data augmentations and transfer learning for physiological time series ( Poster ) > link | Harald Skat-Rørdam · Mia Knudsen · Simon Knudsen · Sneha Das · Line Clemmensen 🔗 |
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Time Series for Patient Adherence ( Poster ) > link | Yin Li · Yu Xiong · Wenxin Fan · Kai Wang · Qingqing Yu · Si Liping · Patrick van der Smagt · Jun Tang · Nutan Chen 🔗 |
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How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models ( Poster ) > link | Unnseo Park · Venkatesh Sivaraman · Adam Perer 🔗 |
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Parallel Time-Sensor Attention for Electronic Health Record Classification ( Poster ) > link | Rachael DeVries · Marie Lisandra Zepeda Mendoza · Ole Winther 🔗 |
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Learning the Sensing Delay for Personalized Continuous Diabetes Monitoring ( Poster ) > link | Subhamoy Biswas · Pouyan Motamed · Peyman GhavamiNejad · Irfani Ausri · Ali Etemad · Mahla Poudineh 🔗 |
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Dynamic Survival Analysis for Early Event Prediction ( Poster ) > link | Hugo Yèche · Manuel Burger · Dinara Veshchezerova · Gunnar Ratsch 🔗 |
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Dynamic Survival Analysis for Early Event Prediction ( Oral ) > link | Hugo Yèche · Manuel Burger · Dinara Veshchezerova · Gunnar Ratsch 🔗 |
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Enhancing Joint Motion Prediction for Individuals with Limb Loss Through Model Reprogramming ( Poster ) > link | Sharmita Dey · Sarath Ravindran Nair 🔗 |
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Spectral Convolutional Conditional Neural Processes ( Poster ) > link | Peiman Mohseni · Nick Duffield 🔗 |
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Advanced MEG Analysis of Auditory and Linguistic Encoding in Spoken Language Processing ( Poster ) > link | Matteo Ciferri · Matteo Ferrante · Nicola Toschi 🔗 |
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Learning Self-Supervised Dynamic Networks for Seizure Analysis ( Poster ) > link | William Cappelletti · Yuhan Xie · Pascal Frossard 🔗 |
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From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE ( Poster ) > link | Samira Pakravan · Nikolaos Evangelou · Maxime Usdin · Logan Brooks · James Lu 🔗 |
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Mentality: A Mamba-based Approach towards Foundation Models for EEG ( Poster ) > link | Saarang Panchavati · Corey Arnold · William Speier 🔗 |
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Nocturnal Hypoglycemia Prediction in Diabetic Children Participating in a Sports Day Camp - First Results ( Poster ) > link | Heike Leutheuser · Marc Bartholet · Alexander Marx · Marc Pfister · Marie-Anne Burckhardt · Sara Bachmann · Julia E Vogt 🔗 |
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Hybrid Transformer and Holt-Winter's Method for Time Series Forecasting ( Poster ) > link | Nhi Truong · Duc Nguyen · Jeffrey Gropp · Sang Truong 🔗 |
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Neural ODE-based disease forecasting from retinal imaging with temporal consistency ( Poster ) > link | Arunava Chakravarty · Taha Emre · Dmitrii Lachinov · Antoine Rivail · Ursula Schmidt-Erfurth · Hrvoje Bogunović 🔗 |
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Predicting the surge: Forecasting Ontario's changing mental health needs ( Poster ) > link |
11 presentersKristina L. Kupferschmidt · Cody Kupferschmidt · Gus Skorburg · Branka Agic · Tara Elton-Marshall · Hayley Hamilton · Gina Stoduto · Katherine Vink · Samantha Wells · Christine Wickens · Graham W Taylor |
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Medical Event Data Standard (MEDS): Facilitating Machine Learning for Health ( Poster ) > link | Bert Arnrich · Edward Choi · Jason Fries · Matthew McDermott · Jungwoo Oh · Tom Pollard · Nigam Shah · Ethan Steinberg · Michael Wornow · Robin van de Water 🔗 |
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Conditional Diffusion Models as Self-supervised Learning Backbone for Irregular Time Series ( Poster ) > link | Hamed Shirzad · Ruizhi Deng · He Zhao · Frederick Tung 🔗 |
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Combining Hospital-grade Clinical Data and Wearable Vital Sign Monitoring to Predict Surgical Complications ( Poster ) > link | Robin van de Water · Axel Winter · Max Maurer · Felix Treykorn · Daniela Zuluaga · Bjarne Pfitzner · Igor Sauer · Bert Arnrich 🔗 |
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SleepFM: Foundation Model for Sleep Analysis ( Poster ) > link | Rahul Thapa · Bryan He · Magnus Kjaer · Hyatt Moore · Gauri Ganjoo · Emmanuel Mignot · James Y Zou 🔗 |
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Density-based Neural Temporal Point Processes for Heartbeat Dynamics ( Poster ) > link | Sandya Subramanian · Bharath Ramsundar 🔗 |
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EmoPairCompete - Physiological Signals Dataset for Emotion and Frustration Assessment under Team and Competitive Behaviors ( Poster ) > link | Sneha Das · Nicklas Lund · Carlos González · Nicole Lønfeldt · Line Clemmensen 🔗 |
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EmoPairCompete - Physiological Signals Dataset for Emotion and Frustration Assessment under Team and Competitive Behaviors ( Oral ) > link | Sneha Das · Nicklas Lund · Carlos González · Nicole Lønfeldt · Line Clemmensen 🔗 |
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Subject Selection Framework to Improve Personalised Models for Motor-Imagery BCIs via Wavelets and Graph Diffusion ( Poster ) > link | Konstantinos Barmpas · Yannis Panagakis · Dimitrios Adamos · Nikolaos Laskaris · Stefanos Zafeiriou 🔗 |
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Development and Evaluation of Deep Learning Models for Cardiotocography Interpretation ( Poster ) > link | Nicole Chiou · Nichole Young-Lin · Christopher Kelly · Julie Cattiau · Tiya Tiyasirichokchai · Abdoulaye Diack · Sanmi Koyejo · Katherine Heller · Mercy Asiedu 🔗 |
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Harnessing Cardio-respiratory Sleep Staging under Uncertainty ( Poster ) > link | Jonathan Carter · Lionel Tarassenko 🔗 |
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Combating Missing Values in Multivariate Time Series by Learning to Embed Each Value as a Token ( Poster ) > link | Chun-Kai Huang · Yi-Hsien Hsieh · Shao-Hua Sun · Tung-Hung Su · JH Kao · Che Lin 🔗 |
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A novel methodological framework for the analysis of health trajectories and survival outcomes in heart failure patients ( Poster ) > link | Juliette Murris · Tristan Amadei · Tristan Kirscher · Antoine Klein · Anne-Isabelle Tropeano · Sandrine Katsahian 🔗 |
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Optimize Measurement Frequencies of Clinical Variables through Variance SHAP ( Poster ) > link | Jiacheng Liu · Jaideep Srivastava 🔗 |
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Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation ( Poster ) > link | Hui Wei · Maxwell Xu · Colin Samplawski · James Rehg · Santosh Kumar · Benjamin M Marlin 🔗 |