no code implementations • 6 Aug 2023 • Taoran Sheng, Manfred Huber
Sensor data streams from wearable devices and smart environments are widely studied in areas like human activity recognition (HAR), person identification, or health monitoring.
no code implementations • 21 Jul 2023 • Taoran Sheng, Manfred Huber
The embedded sensors in widely used smartphones and other wearable devices make the data of human activities more accessible.
no code implementations • 18 Jul 2023 • Taoran Sheng, Manfred Huber
Deep learning has been successfully applied to human activity recognition.
2 code implementations • 29 Jun 2023 • Helen H. Shang, Mohammad Sadegh Nasr, Jai Prakash Veerla, Parisa Boodaghi Malidarreh, MD Jillur Rahman Saurav, Amir Hajighasemi, Manfred Huber, Chace Moleta, Jitin Makker, Jacob M. Luber
The search and retrieval of digital histopathology slides is an important task that has yet to be solved.
1 code implementation • 23 Mar 2023 • Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey, Parisa Boodaghi Malidarreh, Michael Robben, Jillur Rahman Saurav, Helen H. Shang, Manfred Huber, Jacob M. Luber
We generate and visualize embeddings from the compressed latent space and demonstrate how they are useful for clinical interpretation of data, and how in the future such latent embeddings can be used to accelerate search of clinical imaging data.
no code implementations • 9 Aug 2022 • Po-Hsiang Chiu, Manfred Huber
Learning a control policy capable of adapting to time-varying and potentially evolving system dynamics has been a great challenge to the mainstream reinforcement learning (RL).
2 code implementations • 20 May 2022 • Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Bríd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber
We validate these claims by generating a new experimental spatial proteomics data set from human lung adenocarcinoma tissue sections and show that a model trained on HuBMAP can accurately synthesize channels from our new data set.
no code implementations • 5 Nov 2021 • Bhanu Jain, Manfred Huber, Ramez Elmasri
We introduce a family of fairness enhancing regularization components that we use in conjunction with the traditional binary-cross-entropy based accuracy loss.
1 code implementation • 4 Mar 2021 • Christopher Collander, William J. Beksi, Manfred Huber
In this paper, we introduce a reinforcement learning approach utilizing a novel topology-based information gain metric for directing the next best view of a noisy 3D sensor.