Search Results - "Larocque, Denis"

Covariance regression with random forests by Alakus, Cansu, Larocque, Denis, Labbe, Aurélie

“…Capturing the conditional covariances or correlations among the elements of a multivariate response vector based on covariates is important to various fields…”
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Uncovering the gaps: A systematic mixed studies review of quality of life measures in extremity soft tissue sarcoma by Hassani, Mohammad, Mate, Kedar K. V., Turcotte, Robert, Denis‐Larocque, Gabrielle, Ghodsi, Elaheh, Tsimicalis, Argerie, Goulding, Krista

“…The health‐related quality of life of patients with extremity soft tissue sarcoma (STS) is not precisely captured by current patient‐reported outcome measures…”
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Psychological functioning, coping styles and their relationship to appraisal of physical limitations following invasive surgical procedures for soft‐tissue sarcoma: A qualitative study by Košir, Urška, Denis‐Larocque, Gabrielle, Tsimicalis, Argerie, Freeman, Carolyn, Turcotte, Robert E., Cury, Fabio, Alcindor, Thierry, Goulding, Krista

“…Background and Objectives This study explored psychological functioning and coping styles in adult patients with soft‐tissue sarcoma who underwent surgical…”
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Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control by Devailly, Francois-Xavier, Larocque, Denis, Charlin, Laurent

“…We introduce MuJAM, an adaptive traffic signal control method which leverages model-based reinforcement learning to 1) extend recent generalization efforts (to…”
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Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly Detection by Lindstrom, Michael R, Jung, Hyuntae, Larocque, Denis

“…We present an unsupervised method to detect anomalous time series among a collection of time series. To do so, we extend traditional Kernel Density Estimation…”
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Improving the generalizability and robustness of large-scale traffic signal control by Shi, Tianyu, Devailly, Francois-Xavier, Larocque, Denis, Charlin, Laurent

“…A number of deep reinforcement-learning (RL) approaches propose to control traffic signals. Compared to traditional approaches, RL approaches can learn from…”
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Non-parametric individual treatment effect estimation for survival data with random forests by Tabib, Sami, Larocque, Denis

“…Abstract Motivation Personalized medicine often relies on accurate estimation of a treatment effect for specific subjects. This estimation can be based on the…”
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Comparison of random forest methods for conditional average treatment effect estimation with a continuous treatment by Tabib, Sami, Larocque, Denis

“…We are addressing the problem of estimating conditional average treatment effects with a continuous treatment and a continuous response, using random forests…”
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An empirical comparison of ensemble methods based on classification trees by Hamza, Mounir, Larocque, Denis

“…In this paper, we perform an empirical comparison of the classification error of several ensemble methods based on classification trees. This comparison is…”
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How can firms stop customer revenge? The effects of direct and indirect revenge on post-complaint responses by Grégoire, Yany, Ghadami, Fateme, Laporte, Sandra, Sénécal, Sylvain, Larocque, Denis

“…Do customers feel better or worse after enacting revenge? Using a multimethod approach, we show that customers’ post-complaint desire for revenge depends on…”
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IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control by Devailly, Francois-Xavier, Larocque, Denis, Charlin, Laurent

“…Scaling adaptive traffic signal control involves dealing with combinatorial state and action spaces. Multi-agent reinforcement learning attempts to address…”
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Mixed-effects random forest for clustered data by Hajjem, Ahlem, Bellavance, François, Larocque, Denis

“…This paper presents an extension of the random forest (RF) method to the case of clustered data. The proposed 'mixed-effects random forest' (MERF) is…”
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A theory of sales system shocks by Hartmann, Nathaniel N., Chaker, Nawar N., Lussier, Bruno, Larocque, Denis, Habel, Johannes

“…Research primarily explores sales phenomena during normal periods. However, triggering events (e.g., natural disasters, security catastrophes, pandemics) can…”
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Generalized mixed effects regression trees by Hajjem, Ahlem, Larocque, Denis, Bellavance, François

“…This paper presents generalized mixed effects regression trees, an extension of mixed effects regression trees to other types of outcomes. A simulation shows…”
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Ensemble methods for survival function estimation with time-varying covariates by Yao, Weichi, Frydman, Halina, Larocque, Denis, Simonoff, Jeffrey S

“…Survival data with time-varying covariates are common in practice. If relevant, they can improve on the estimation of a survival function. However, the…”
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The effect of critical reviews on exhibitors' decisions: Do reviews affect the survival of a movie on screen? by Legoux, Renaud, Larocque, Denis, Laporte, Sandra, Belmati, Soraya, Boquet, Thomas

“…This article aims to demonstrate that distribution intermediaries, namely exhibitors, are influenced by critical reviews in their programming decisions after…”
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Random forests for homogeneous and non-homogeneous Poisson processes with excess zeros by Mathlouthi, Walid, Larocque, Denis, Fredette, Marc

“…We propose a general hurdle methodology to model a response from a homogeneous or a non-homogeneous Poisson process with excess zeros, based on two forests…”
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Prediction intervals with random forests by Roy, Marie-Hélène, Larocque, Denis

“…The classical and most commonly used approach to building prediction intervals is the parametric approach. However, its main drawback is that its validity and…”
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Separating the wheat from the chaff: A disaggregate analysis of the effects of public spending in the US by Bouakez, Hafedh, Larocque, Denis, Normandin, Michel

“…In this paper, we undertake a systematic disaggregate analysis of the effects of government spending on economic activity in the US. The level of…”
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Prediction with a flexible finite mixture-of-regressions by Ahonen, Ilmari, Nevalainen, Jaakko, Larocque, Denis

“…Finite mixture regression (FMR) is widely used for modeling data that originate from heterogeneous populations. In these settings, FMR can offer increased…”
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