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Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data

1, 2015

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Activity recognition on streaming sensor data

Pervasive and mobile computing, 2014-02, Vol.10 (Pt B), p.138-154

2014

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Transfer learning for activity recognition: a survey

Knowledge and information systems, 2013-09, Vol.36 (3), p.537-556

2013

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RACOG and wRACOG: Two Probabilistic Oversampling Techniques

IEEE transactions on knowledge and data engineering, 2015-01, Vol.27 (1), p.222-234

2015

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Activity Discovery and Activity Recognition: A New Partnership

IEEE transactions on cybernetics, 2013-06, Vol.43 (3), p.820-828

2013

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Explainable Image Classification: The Journey So Far and the Road Ahead

AI (Basel), 2023-08, Vol.4 (3), p.620-651

2023

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Machine learning methods trained on simple models can predict critical transitions in complex natural systems

Royal Society open science, 2022-02, Vol.9 (2), p.211475-211475

2022

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Optimal sampling of spatial patterns improves deep learning-based early warning signals of critical transitions

Royal Society open science, 2024-06, Vol.11 (6), p.231767-13

2024

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CASAS: A Smart Home in a Box

Computer (Long Beach, Calif.), 2013-07, Vol.46 (7), p.62-69

2013

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Semantically Aligned Bias Reducing Zero Shot Learning

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.7049-7058

2019

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Supervised heterogeneous feature transfer via random forests

Artificial intelligence, 2019-03, Vol.268, p.30-53

2019

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Efficient algorithms for fair clustering with a new notion of fairness

Data mining and knowledge discovery, 2023-09, Vol.37 (5), p.1959-1997

2023

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One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes

IEEE journal of selected topics in signal processing, 2016-08, Vol.10 (5), p.914-923

2016

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Can google trends search inform us about the population response and public health impact of abrupt change in alcohol policy? A case study from India during the covid-19 pandemic

The International journal of drug policy, 2021-01, Vol.87, p.102984-102984, Article 102984

2021

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Understanding calibration of deep neural networks for medical image classification

Computer methods and programs in biomedicine, 2023-12, Vol.242, p.107816-107816, Article 107816

2023

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Pho(SC)-CTC—a hybrid approach towards zero-shot word image recognition

International journal on document analysis and recognition, 2023-03, Vol.26 (1), p.51-63

2023

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EWSmethods: an R package to forecast tipping points at the community level using early warning signals, resilience measures, and machine learning models

Ecography (Copenhagen), 2023-10, Vol.2023 (10)

2023

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Adaptation: Blessing or Curse for Higher Way Meta-Learning

IEEE transactions on artificial intelligence, 2024-04, Vol.5 (4), p.1844-1856

2024

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Leveraging Task Variability in Meta-learning

SN computer science, 2023-09, Vol.4 (5), p.539, Article 539

2023

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Digital screening and brief intervention for illicit drug misuse in college students: A mixed methods, pilot, cluster, randomized trial from India

Asian journal of psychiatry, 2023-03, Vol.81, p.103432, Article 103432

2023

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Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-4

2022

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Group and Individual Fairness in Clustering Algorithms

Ethics in Artificial Intelligence: Bias, Fairness and Beyond, 2023, Vol.1123, p.31-51

2023

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Adversarial Projections to Tackle Support-Query Shifts in Few-Shot Meta-Learning

Machine Learning and Knowledge Discovery in Databases, p.615-630

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Digital screening and brief intervention for alcohol misuse in college students: A pilot, mixed‐methods, cluster randomized controlled trial from a low‐resourced setting

Asia-Pacific psychiatry, 2023-06, Vol.15 (2-3), p.e12527-n/a

2023

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ResPho(SC)Net: A Zero-Shot Learning Framework for Norwegian Handwritten Word Image Recognition

Pattern Recognition and Image Analysis, p.182-196

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Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data

Activity recognition on streaming sensor data

Transfer learning for activity recognition: a survey

RACOG and wRACOG: Two Probabilistic Oversampling Techniques

Activity Discovery and Activity Recognition: A New Partnership

Explainable Image Classification: The Journey So Far and the Road Ahead

Machine learning methods trained on simple models can predict critical transitions in complex natural systems

Optimal sampling of spatial patterns improves deep learning-based early warning signals of critical transitions

CASAS: A Smart Home in a Box

Semantically Aligned Bias Reducing Zero Shot Learning

Supervised heterogeneous feature transfer via random forests

Efficient algorithms for fair clustering with a new notion of fairness

One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes

Can google trends search inform us about the population response and public health impact of abrupt change in alcohol policy? A case study from India during the covid-19 pandemic

Understanding calibration of deep neural networks for medical image classification

Pho(SC)-CTC—a hybrid approach towards zero-shot word image recognition

EWSmethods: an R package to forecast tipping points at the community level using early warning signals, resilience measures, and machine learning models

Adaptation: Blessing or Curse for Higher Way Meta-Learning

Leveraging Task Variability in Meta-learning

Digital screening and brief intervention for illicit drug misuse in college students: A mixed methods, pilot, cluster, randomized trial from India

Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks

Group and Individual Fairness in Clustering Algorithms

Adversarial Projections to Tackle Support-Query Shifts in Few-Shot Meta-Learning

Digital screening and brief intervention for alcohol misuse in college students: A pilot, mixed‐methods, cluster randomized controlled trial from a low‐resourced setting

ResPho(SC)Net: A Zero-Shot Learning Framework for Norwegian Handwritten Word Image Recognition

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