Alex Chan

Orcid: 0000-0001-7617-1066

According to our database1, Alex Chan authored at least 13 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Eventizing Traditionally Opaque Binary Neural Networks as 1-safe Petri net Models.
CoRR, February, 2026

2025
Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting.
CoRR, November, 2025

LatentGraph: From Latent States to Rule-based Expressions for Explainable Financial Forecasting.
Proceedings of the 6th ACM International Conference on AI in Finance, 2025

Asynchronous Design of a Bitwise Elimination Argmax via High-Level Modeling in GraphRack.
Proceedings of the 29th IEEE International Symposium on Asynchronous Circuits and Systems, 2025

2024
A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images.
J. Imaging Inform. Medicine, 2024

Bridging the Design Methodologies of Burst-Mode Specifications and Signal Transition Graphs.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

Design of Event-Driven Tsetlin Machines Using Safe Petri Nets.
Proceedings of the Application and Theory of Petri Nets and Concurrency, 2024

2023
Burst Automaton: Framework for Speed-Independent Synthesis Using Burst-Mode Specifications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2023


2022
GAUCHE: A Library for Gaussian Processes in Chemistry.
CoRR, 2022

Formal Modelling of Burst-Mode Specifications in a Distributed Environment.
Proceedings of the Forum on Specification & Design Languages, 2022

2021
Synthesis of SI Circuits from Burst-Mode Specifications.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2018
Identification of serious illness conversations in unstructured clinical notes using deep neural networks.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018


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