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Inon Peled
Inon Peled
DTU, Technical University of Denmark
Geverifieerd e-mailadres voor dtu.dk - Homepage
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Estimating latent demand of shared mobility through censored Gaussian processes
D Gammelli, I Peled, F Rodrigues, D Pacino, HA Kurtaran, FC Pereira
Transportation Research Part C: Emerging Technologies 120, 102775, 2020
542020
On the quality requirements of demand prediction for dynamic public transport
I Peled, K Lee, Y Jiang, J Dauwels, FC Pereira
Communications in Transportation Research 1, 100008, 2021
312021
Communication-avoiding symmetric-indefinite factorization
G Ballard, D Becker, J Demmel, J Dongarra, A Druinsky, I Peled, ...
SIAM Journal on Matrix Analysis and Applications 35 (4), 1364-1406, 2014
272014
Deep spatio-temporal forecasting of electrical vehicle charging demand
FB Hüttel, I Peled, F Rodrigues, FC Pereira
arXiv preprint arXiv:2106.10940, 2021
242021
Model-based machine learning for transportation
I Peled, F Rodrigues, FC Pereira
Mobility patterns, big data and transport analytics, 145-171, 2019
152019
Implementing a blocked Aasen's algorithm with a dynamic scheduler on multicore architectures
G Ballard, D Becker, J Demmel, J Dongarra, A Druinsky, I Peled, ...
2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013
152013
Modeling censored mobility demand through censored quantile regression neural networks
FB Hüttel, I Peled, F Rodrigues, FC Pereira
IEEE Transactions on Intelligent Transportation Systems 23 (11), 21753-21765, 2022
122022
A joint machine learning and optimization approach for incremental expansion of electric vehicle charging infrastructure
AH Golsefidi, FB Hüttel, I Peled, S Samaranayake, FC Pereira
Transportation Research Part A: Policy and Practice 178, 103863, 2023
102023
Preserving uncertainty in demand prediction for autonomous mobility services
I Peled, K Lee, Y Jiang, J Dauwels, FC Pereira
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3043-3048, 2019
92019
Online predictive optimization framework for stochastic demand-responsive transit services
I Peled, K Lee, Y Jiang, J Dauwels, FC Pereira
arXiv preprint arXiv:1902.09745, 2019
72019
QTIP: Quick simulation-based adaptation of traffic model per incident parameters
I Peled, R Kamalakar, CL Azevedo, FC Pereira
Journal of Simulation 16 (2), 111-131, 2022
42022
“Is Not the Truth the Truth?”: Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-Based Surveys
V Servizi, DR Persson, FC Pereira, H Villadsen, P Bækgaard, I Peled, ...
IEEE Transactions on Intelligent Transportation Systems 24 (11), 11905-11920, 2023
12023
Context-Aware Sensing and Implicit Ground Truth Collection: Building a Foundation for Event Triggered Surveys on Autonomous Shuttles
V Servizi, DR Persson, P Bækgaard, H Villadsen, I Peled, J Rich, ...
Proceedings from the Annual Transport Conference at Aalborg University, 2021
12021
Traffic Prediction with Convolutional Long Short-Term Memory
I Peled, FC Pereira, O Winther
hEART 2018: 7th Symposium of the European Association for Research in …, 2018
12018
" Is not the truth the truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-based Surveys
DR Persson, FC Pereira, H Villadsen, P Bækgaard, I Peled, OA Nielsen
arXiv preprint arXiv:2202.11961, 2022
2022
" Is not the truth the truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-based Surveys
S Valentino, DR Persson, FC Pereira, H Villadsen, P Bækgaard, I Peled, ...
arXiv e-prints, arXiv: 2202.11961, 2022
2022
Modeling Censored Mobility Demand through Quantile Regression Neural Networks
FB Hüttel, I Peled, F Rodrigues, FC Pereira
arXiv preprint arXiv:2104.01214, 2021
2021
Machine Learning Methods for Transportation under Uncertainty
I Peled
Technical University of Denmark, 2020
2020
Modeling Transport Data under Stochastic and Latent Censorship
I Peled, D Gammelli, F Rodrigues, D Pacino, FC Pereira
9th Symposium of the European Association for Research in Transportation (hEART), 2020
2020
Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport.
I Peled, K Lee, Y Jiang, J Dauwels, FC Pereira
CoRR, 2020
2020
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Artikelen 1–20