Sandjai Bhulai

University of Amsterdam

Netherlands

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Articles (20)

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Collaborators (9)

lydia krabbendam

University of Amsterdam

NETHERLANDS

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Theo Bakker

University of Amsterdam

NETHERLANDS

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Rob van der Mei

Professor

Centrum Wiskunde & Informatica

NETHERLANDS

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Martijn Meeter

University of Amsterdam

NETHERLANDS

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Mark Hoogendoorn

Vrije Universiteit Amsterdam

NETHERLANDS

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Sander Begeer

University of Amsterdam

NETHERLANDS

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Giovanni Cinà

Academic, Assistant Professor

University of Amsterdam

NETHERLANDS

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Leon Lan

Vrije Universiteit Amsterdam

NETHERLANDS

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Fuda van Diggelen

University of Amsterdam

NETHERLANDS

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Sandjai Bhulai

Research Interests

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Articles (20)

An effective aggregation heuristic for Capacitated Facility Location Problems with many demand points

Optimizing Power Grid Topologies with Reinforcement Learning

The dutch draw: constructing a universal baseline for binary classification problems

Real-time assistance in suicide prevention helplines using a deep learning-based recommender system

Deductively coding psychosocial autopsy interview data using a few-shot learning large language model

Joint Demapping of QAM and APSK Constellations Using Machine Learning

Real-Time Vehicle Tracking Using Magnetic Field Fingerprinting

The Dutch Scaler Performance Indicator: How Much Did My Model Actually Learn?

The Most Effective Interventions for Classification Model Development to Predict Chat Outcomes Based on the Conversation Content in Online Suicide Prevention Chats: Machine Learning Approach

An Iterative Sample Scenario Approach for the Dynamic Dispatch Waves Problem

Predicting academic success of autistic students in higher education

Forecasting call and chat volumes at online helplines for mental health

Identifying populations at ultra-high risk of suicide using a novel machine learning method

Study progression and degree completion of autistic students in higher education: a longitudinal study

Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

Reduced Waiting Times by Preference-Based Allocation of Patients to Nursing Homes

Convolutional Neural Networks for vehicle damage detection

The enriched median routing problem and its usefulness in practice

Multi-view damage inspection using single-view damage projection

A data-driven approach to deriving closed-form approximations for queueing problems using genetic algorithms

Collaborators (9)

lydia krabbendam

Theo Bakker

Rob van der Mei

Martijn Meeter

Mark Hoogendoorn

Sander Begeer

Giovanni Cinà

Leon Lan

Fuda van Diggelen

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