Morteza Haghir Chehreghani
Länk till personlig sida
Visar 34 publikationer
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories
Online Learning of Network Bottlenecks via Minimax Paths
Deep Q-learning: a robust control approach
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles
Online Learning of Energy Consumption for Navigation of Electric Vehicles
Autonomous Drug Design with Multi-Armed Bandits
TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks
On Using Node Indices and Their Correlations for Fake Account Detection
Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms
Analysis of Knowledge Transfer in Kernel Regime
Passive and Active Learning of Driver Behavior from Electric Vehicles
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification
Graph Clustering Using Node Embeddings: An Empirical Study
An Online Learning Approach for Vehicle Usage Prediction During COVID-19
Shift of pairwise similarities for data clustering
A unified framework for online trip destination prediction
Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction
Memory-Efficient Minimax Distance Measures
Do Kernel and Neural Embeddings Help in Training and Generalization?
Trip Prediction by Leveraging Trip Histories from Neighboring Users
Active learning of driving scenario trajectories
Controlling gene expression with deep generative design of regulatory DNA
Reliable Agglomerative Clustering
Shallow Node Representation Learning using Centrality Indices
Vehicle Motion Trajectories Clustering via Embedding Transitive Relations
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks
An online learning framework for energy-efficient navigation of electric vehicles
Unsupervised representation learning with Minimax distance measures
Learning representations from dendrograms
Accelerated proximal incremental algorithm schemes for non-strongly convex functions
Generation of Driving Scenario Trajectories with Generative Adversarial Networks
A Non-Convex Optimization Approach to Correlation Clustering
Efficient context-aware K-nearest neighbor search
Ladda ner publikationslistor
Du kan ladda ner denna lista till din dator.
Filtrera och ladda ner publikationslista
Som inloggad användare hittar du ytterligare funktioner i MyResearch.
Du kan även exportera direkt till Zotero eller Mendeley genom webbläsarplugins. Dessa hittar du här:
Zotero Connector
Mendeley Web Importer
Tjänsten SwePub erbjuder uttag av Researchs listor i andra format, till exempel kan du få uttag av publikationer enligt Harvard och Oxford i .RIS, BibTex och RefWorks-format.
Visar 8 forskningsprojekt
LEAR: Robust LEArning methods for electric vehicle Route selection
Energy-efficient autopilot (EcoPilot)
Energy-based models for supervised deep neural networks and their applications
Adaptiv neural styrning för framtida förnyelsebara bränslen
Real-Time Robust and AdaptIve Learning in ElecTric VEhicles (RITE)
Modellering och optimering av energi-styrsystem för plugin hybridfordon
AI-assisterad realtids digital twin för elektriska drivlinor
EENE: Energieffektiv Navigering för Elfordon