Flora D. Salim

Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding

Change Point Detection techniques aim to capture changes in trends and s...
11/28/2020 ∙ by Shohreh Deldari, et al. ∙ 3 ∙ share

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TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction

Traffic flow prediction is a crucial task in enabling efficient intellig...
11/11/2020 ∙ by Hao Xue, et al. ∙ 8 ∙ share

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Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors

This paper investigates the Cyber-Physical behavior of users in a large ...
08/26/2020 ∙ by Manpreet Kaur, et al. ∙ 0 ∙ share

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Generative Adversarial Networks for Spatio-temporal Data: A Survey

Generative Adversarial Networks (GANs) have shown remarkable success in ...
08/18/2020 ∙ by Nan Gao, et al. ∙ 0 ∙ share

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Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data

A well-crafted police patrol route design is vital in providing communit...
07/31/2020 ∙ by Shakila Khan Rumi, et al. ∙ 0 ∙ share

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Seating preference analysis for hybrid workplaces

Due to the increasing nature of flexible work and the recent requirement...
07/31/2020 ∙ by Mohammad Saiedur Rahaman, et al. ∙ 0 ∙ share

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grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs

We propose grid2vec, a novel approach for image representation learning ...
07/30/2020 ∙ by Ali Hamdi, et al. ∙ 13 ∙ share

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G-CREWE: Graph CompREssion With Embedding for Network Alignment

Network alignment is useful for multiple applications that require incre...
07/30/2020 ∙ by Kyle K. Qin, et al. ∙ 13 ∙ share

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Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence

Smartphones, wearables, and Internet of Things (IoT) devices produce a w...
07/25/2020 ∙ by Aaqib Saeed, et al. ∙ 0 ∙ share

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ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data

Extracting informative and meaningful temporal segments from high-dimens...
07/24/2020 ∙ by Shohreh Deldari, et al. ∙ 0 ∙ share

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Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home

In the opening months of 2020, COVID-19 changed the way for which people...
07/24/2020 ∙ by Sam Nolan, et al. ∙ 0 ∙ share

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n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild

The study of student engagement has attracted growing interests to addre...
07/09/2020 ∙ by Nan Gao, et al. ∙ 0 ∙ share

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An Ambient-Physical System to Infer Concentration in Open-plan Workplace

One of the core challenges in open-plan workspaces is to ensure a good l...
05/27/2020 ∙ by Mohammad Saiedur Rahaman, et al. ∙ 0 ∙ share

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Transfer Learning for Thermal Comfort Prediction in Multiple Cities

HVAC (Heating, Ventilation and Air Conditioning) system is an important ...
04/29/2020 ∙ by Nan Gao, et al. ∙ 0 ∙ share

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Relation Embedding for Personalised POI Recommendation

Point-of-interest (POI) recommendation is one of the most important loca...
02/09/2020 ∙ by Xianjing Wang, et al. ∙ 0 ∙ share

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Flight Delay Prediction using Airport Situational Awareness Map

The prediction of flight delays plays a significantly important role for...
11/05/2019 ∙ by Wei Shao, et al. ∙ 0 ∙ share

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COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference

The process of automatic generation of a road map from GPS trajectories,...
09/24/2019 ∙ by Arian Prabowo, et al. ∙ 13 ∙ share

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Predicting Personality Traits from Physical Activity Intensity

Call and messaging logs from mobile devices have been used to predict hu...
06/19/2019 ∙ by Nan Gao, et al. ∙ 0 ∙ share

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Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network

Deep learning has been extended to a number of new domains with critical...
03/08/2019 ∙ by Wei Shao, et al. ∙ 0 ∙ share

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Mining User Behavioral Rules from Smartphone Data through Association Analysis

The increasing popularity of smart mobile phones and their powerful sens...
03/19/2018 ∙ by Iqbal H. Sarker, et al. ∙ 0 ∙ share

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Flora D. Salim

Featured Co-authors

Piotr Koniusz

Danai Koutra

Iqbal H. Sarker

Wei Shao

Jeffrey Chan

Nan Gao

Klaus David

Aaqib Saeed

Mohammad Saiedur Rahaman

Christoph Anderson

Du Yong Kim

Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding

TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors

Generative Adversarial Networks for Spatio-temporal Data: A Survey

Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data

Seating preference analysis for hybrid workplaces

grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs

G-CREWE: Graph CompREssion With Embedding for Network Alignment

Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence

ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data

Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home

n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild

An Ambient-Physical System to Infer Concentration in Open-plan Workplace

Transfer Learning for Thermal Comfort Prediction in Multiple Cities

Relation Embedding for Personalised POI Recommendation

Flight Delay Prediction using Airport Situational Awareness Map

COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference

Predicting Personality Traits from Physical Activity Intensity

Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network

Mining User Behavioral Rules from Smartphone Data through Association Analysis