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05/27/2023
Attention Schema in Neural Agents
Attention has become a common ingredient in deep learning architectures....
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05/26/2023
Enhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences
The merging of human intelligence and artificial intelligence has long b...
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02/21/2023
Reusable Slotwise Mechanisms
Agents that can understand and reason over the dynamics of objects can h...
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12/20/2022
Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data
Importance: The prevalence of severe mental illnesses (SMIs) in the Unit...
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10/24/2022
GFlowOut: Dropout with Generative Flow Networks
Bayesian Inference offers principled tools to tackle many critical probl...
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10/04/2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
In cooperative multi-agent reinforcement learning, a team of agents work...
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05/21/2022
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel
In Multi-Agent Reinforcement Learning (MARL), specialized channels are o...
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05/19/2022
FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data
Federated learning is a distributed machine learning approach which enab...
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02/02/2022
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization
Vector Quantization (VQ) is a method for discretizing latent representat...
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12/10/2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records
Federated machine learning is a versatile and flexible tool to utilize d...
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07/06/2021
Discrete-Valued Neural Communication
Deep learning has advanced from fully connected architectures to structu...
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04/06/2021
hBert + BiasCorp – Fighting Racism on the Web
Subtle and overt racism is still present both in physical and online com...
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12/01/2020
Patient similarity: methods and applications
Patient similarity analysis is important in health care applications. It...
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11/23/2020
FakeSafe: Human Level Data Protection by Disinformation Mapping using Cycle-consistent Adversarial Network
The concept of disinformation is to use fake messages to confuse people ...
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04/08/2020
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
We present a timely and novel methodology that combines disease estimate...
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02/20/2020
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
Large scale contextual representation models, such as BERT, have signifi...
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12/25/2019
Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records
Sometimes electrical medical records are restricted and difficult to cen...
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10/23/2019
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving
Artificial neural network has achieved unprecedented success in the medi...
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10/04/2019
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning
Artificial neural network has achieved unprecedented success in a wide v...
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10/04/2019
Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence
A patient's health information is generally fragmented across silos. Tho...
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08/14/2019
Two-stage Federated Phenotyping and Patient Representation Learning
A large percentage of medical information is in unstructured text format...
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03/22/2019
Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records
Electronic medical records (EMRs) supports the development of machine le...
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12/23/2018
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden
Machine Learning (ML) applications on healthcare can have a great impact...
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12/23/2018
Border Effect of Complex Network: An analysis on the cooperation network of movie stars across different regions
People always carry out social activities within certain geographic spac...
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12/23/2018
Movies Network as the Indicator of Globalization
The main research involving globalization nowadays is to describe the im...
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11/30/2018
LoAdaBoost:Loss-Based AdaBoost Federated Machine Learning on medical Data
Medical data are valuable for improvement of health care, policy making ...
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11/28/2018
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record
Electronic health record (EHR) data is collected by individual instituti...
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11/04/2018
Genie: A Secure, Transparent Sharing and Services Platform for Genetic and Health Data
Artificial Intelligence (AI) incorporating genetic and medical informati...
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08/09/2017