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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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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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IEEE_Xplore

Transfer learning for activity recognition: a survey

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

2013

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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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IEEE_Xplore

Supervised heterogeneous feature transfer via random forests

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

2019

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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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IEEE_Xplore

Does climatic risk induce labour migration? Evidence from Semi‐Arid Tropics region of India

Journal of public affairs, 2022-02, Vol.22 (1), p.n/a

2022

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Analyzing the role of market share reallocation and average productivity improvements in aggregate productivity growth: Evidence from Indian manufacturing

Journal of public affairs, 2022-05, Vol.22 (2), p.n/a

2022

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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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DC Link Voltage Enhancement in DC Microgrid Using PV Based High Gain Converter with Cascaded Fuzzy Logic Controller

Energies (Basel), 2023-05, Vol.16 (9), p.3928

2023

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Into the eXperience-verse: the strategic frontier of cloud business innovation and value co-creation

Strategy & leadership, 2022-09, Vol.50 (5), p.25-31

2022

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Safety of the ChAdOx1 nCoV-19 and the BBV152 vaccines in 724 patients with rheumatic diseases: a post-vaccination cross-sectional survey

Rheumatology international, 2021-08, Vol.41 (8), p.1441-1445

2021

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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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IEEE_Xplore

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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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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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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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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Optimal Selection of Conductors in Distribution System Designs Using Multi-Criteria Decision

Energies (Basel), 2023-10, Vol.16 (20), p.7167

2023

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Unintentional Passive Islanding Detection and Prevention Method with Reduced Non-Detection Zones

Energies (Basel), 2022-04, Vol.15 (9), p.3038

2022

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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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Co‐simulation of integrated transmission and distribution systems (ITDS)

IET generation, transmission & distribution, 2023-07, Vol.17 (14), p.3312-3332

2023

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A Fuzzy-PSO-PID with UPFC-RFB Solution for an LFC of an Interlinked Hydro Power System

Energies (Basel), 2022-07, Vol.15 (13), p.4847

2022

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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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Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads

Energies (Basel), 2021-11, Vol.14 (21), p.7314

2021

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

Activity recognition on streaming sensor data

Activity Discovery and Activity Recognition: A New Partnership

Transfer learning for activity recognition: a survey

CASAS: A Smart Home in a Box

Supervised heterogeneous feature transfer via random forests

RACOG and wRACOG: Two Probabilistic Oversampling Techniques

Does climatic risk induce labour migration? Evidence from Semi‐Arid Tropics region of India

Analyzing the role of market share reallocation and average productivity improvements in aggregate productivity growth: Evidence from Indian manufacturing

Efficient algorithms for fair clustering with a new notion of fairness

DC Link Voltage Enhancement in DC Microgrid Using PV Based High Gain Converter with Cascaded Fuzzy Logic Controller

Into the eXperience-verse: the strategic frontier of cloud business innovation and value co-creation

Safety of the ChAdOx1 nCoV-19 and the BBV152 vaccines in 724 patients with rheumatic diseases: a post-vaccination cross-sectional survey

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

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

Understanding calibration of deep neural networks for medical image classification

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

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

Optimal Selection of Conductors in Distribution System Designs Using Multi-Criteria Decision

Unintentional Passive Islanding Detection and Prevention Method with Reduced Non-Detection Zones

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

Co‐simulation of integrated transmission and distribution systems (ITDS)

A Fuzzy-PSO-PID with UPFC-RFB Solution for an LFC of an Interlinked Hydro Power System

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

Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads

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