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07/12/2023
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification
Photoplethysmography (PPG) signals, typically acquired from wearable dev...
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04/10/2023
iPINNs: Incremental learning for Physics-informed neural networks
Physics-informed neural networks (PINNs) have recently become a powerful...
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12/07/2022
Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability
With the progress of sensor technology in wearables, the collection and ...
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10/30/2022
A view on model misspecification in uncertainty quantification
Estimating uncertainty of machine learning models is essential to assess...
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08/09/2022
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
The human brain is capable of learning tasks sequentially mostly without...
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06/02/2022
Conversation Group Detection With Spatio-Temporal Context
In this work, we propose an approach for detecting conversation groups i...
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09/22/2021
Neural network relief: a pruning algorithm based on neural activity
Current deep neural networks (DNNs) are overparameterized and use most o...
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04/07/2020
A Brief Prehistory of Double Descent
In their thought-provoking paper [1], Belkin et al. illustrate and discu...
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06/21/2018
Characterizing multiple instance datasets
In many pattern recognition problems, a single feature vector is not suf...
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04/03/2018
Unsupervised Learning of Sequence Representations by Autoencoders
Traditional machine learning models have problems with handling sequence...
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11/23/2017
Attended End-to-end Architecture for Age Estimation from Facial Expression Videos
The main challenges of age estimation from facial expression videos lie ...
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09/05/2017
Interacting Attention-gated Recurrent Networks for Recommendation
Capturing the temporal dynamics of user preferences over items is import...
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03/15/2017
Label Stability in Multiple Instance Learning
We address the problem of instance label stability in multiple instance ...
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03/15/2017
Classification of COPD with Multiple Instance Learning
Chronic obstructive pulmonary disease (COPD) is a lung disease where ear...
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12/01/2016
Temporal Attention-Gated Model for Robust Sequence Classification
Typical techniques for sequence classification are designed for well-seg...
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03/15/2016
Modeling Time Series Similarity with Siamese Recurrent Networks
Traditional techniques for measuring similarities between time series ar...
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01/25/2016
Survey on the attention based RNN model and its applications in computer vision
The recurrent neural networks (RNN) can be used to solve the sequence to...
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06/16/2015
Time Series Classification using the Hidden-Unit Logistic Model
We present a new model for time series classification, called the hidden...
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06/02/2014
On Classification with Bags, Groups and Sets
Many classification problems can be difficult to formulate directly in t...
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02/06/2014
Quantile Representation for Indirect Immunofluorescence Image Classification
In the diagnosis of autoimmune diseases, an important task is to classif...
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02/06/2014
Dissimilarity-based Ensembles for Multiple Instance Learning
In multiple instance learning, objects are sets (bags) of feature vector...
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09/22/2013
