Publications associées à Capturing trade-offs between daily scheduling choices

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Michel Bierlaire, Timothy Michael Hillel, Janody Pougala

Activity-based models offer the potential of a far deeper understanding of daily mobility behaviour than trip-based models. However, activity-based models used both in research and practice have often relied on applying sequential choice models between sub ...

2023

Resolving time conflicts in activity-based scheduling

Michel Bierlaire, Timothy Michael Hillel, Janody Pougala

In this paper, we present a novel activity-based scheduling model that combines a continuous optimisation framework for temporal scheduling decisions (i.e. activity timings and durations) with traditional discrete choice models for non-temporal choice dime ...

2021

Resolving time conflicts in activity-based scheduling: A case study of Lausanne

Michel Bierlaire, Timothy Michael Hillel, Janody Pougala

2021

Efficient ensemble summaries are inversely related to visual crowding

Michael Herzog, David Pascucci, Yury Markov, Natalia Tiurina

Visual crowding is the inability to perceive properly peripheral stimuli within clutter. Previous work has shown that crowding is affected by perceptual grouping: when the flankers do not group with the target, crowding decreases, leading to uncrowding. Ty ...

2021

From Data to Decisions: Distributionally Robust Optimization is Optimal

Daniel Kuhn, Peyman Mohajerin Esfahani

We study stochastic programs where the decision-maker cannot observe the distribution of the exogenous uncertainties but has access to a finite set of independent samples from this distribution. In this setting, the goal is to find a procedure that transfo ...

2020

Max-infinitely divisible models and inference for spatial extremes

Emeric Rolland Georges Thibaud, Raphaël Huser

For many environmental processes, recent studies have shown that the dependence strength is decreasing when quantile levels increase. This implies that the popular max-stable models are inadequate to capture the rate of joint tail decay, and to estimate jo ...

WILEY2020

Computable Bounds on the Exploration Bias

Michael Christoph Gastpar, Ibrahim Issa

Adaptive data analysis is known to introduce bias in reported measurements. Russo and Zou [1] recently introduced an information-theoretic framework to study this problem. Herein, this framework is adopted and new dependence measures are introduced to boun ...

2018

TiD-Introducing and Benchmarking an Event-Delivery System for Brain-Computer Interfaces

Robert Leeb, Michele Tavella

In this paper, we present and analyze an event distribution system for brain-computer interfaces. Events are commonly used to mark and describe incidents during an experiment and are therefore critical for later data analysis or immediate real-time process ...

Institute of Electrical and Electronics Engineers2017

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Capturing trade-offs between daily scheduling choices

OASIS: An integrated optimisation framework for activity scheduling

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Resolving time conflicts in activity-based scheduling

Resolving time conflicts in activity-based scheduling: A case study of Lausanne

Efficient ensemble summaries are inversely related to visual crowding

From Data to Decisions: Distributionally Robust Optimization is Optimal

Max-infinitely divisible models and inference for spatial extremes

Computable Bounds on the Exploration Bias

TiD-Introducing and Benchmarking an Event-Delivery System for Brain-Computer Interfaces

How close are the eigenvectors and eigenvalues of the sample and actual covariance matrices?

Graph Chatbot

Chattez avec Graph Search

From Data to Decisions: Distributionally Robust Optimization is Optimal

Resolving time conflicts in activity-based scheduling

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

OASIS: An integrated optimisation framework for activity scheduling

Efficient ensemble summaries are inversely related to visual crowding

Max-infinitely divisible models and inference for spatial extremes

TiD-Introducing and Benchmarking an Event-Delivery System for Brain-Computer Interfaces

Resolving time conflicts in activity-based scheduling: A case study of Lausanne

Computable Bounds on the Exploration Bias

How close are the eigenvectors and eigenvalues of the sample and actual covariance matrices?