1,084 search results for “liacs” in the Public website
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Multi Modal Representation Learning and Cross-Modal Semantic Matching
Humans perceive the real world through their sensory organs: vision, taste, hearing, smell, and touch. In terms of information, we consider these different modesalso referred to as different channels of information or modals.
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Gorlaeus BuildingEinsteinweg 55, Leiden
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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Fiji
FIJI is one of the most used image analysis tools in the world. FIJI stands for FIJI is just ImageJ, it is however much more.
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Contact
Do you have any questions about the Creative Intelligence & Technology master's programme (previously Media Technology)? Please contact us!
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Predicting crime in dark web forum networks
In this project, we use social network analysis to analyze the behavior of users in online forums and associated marketplaces over time.
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Semi-partitioned Scheduling and Task Migration in Dataflow Networks
Promotor: Ed F. Deprettere, Co-promotor: Todor P. Stefanov
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Progressive Indexes
Interactive exploration of large volumes of data is increasingly common, as data scientists attempt to extract interesting information from large opaque data sets. This scenario presents a difficult challenge for traditional database systems, as (1) nothing is known about the query workload in advance,…
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Actors at work
Promotor: F.S. de Boer Co-promotor: P. T. de Gouw
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Latency, Energy, and Schedulability of Real-Time Embedded Systems
Systems are called real-time systems, if the correctness of the system does not only depend on the correctness of the system output but also on whether the output is delivered on time.
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Learning in Automated Negotiation
This dissertation advances automated negotiation by developing agents that can learn and adapt across diverse negotiation settings through three increasingly sophisticated approaches: automated algorithm configuration, portfolio-based strategy selection, and end-to-end reinforcement learning with graph…
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SAILS Lunch Time Seminar: Friso Selten
Lecture
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SAILS Lunch Time Seminar: Josette Daemen
Lecture
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Emergence of Linguistic Universals in Neural Agents via Artificial Language Learning and Communication
Human language is constantly evolving with its linguistic structure being shaped by language users at both individual and population levels. Focusing on the interplay between processes of language acquisition and communicative need in shaping human languages, this thesis introduces a novel computational…
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LUdev software development by students
LUdev is a student-run company within the Leiden Institute of Advanced Computer Science (LIACS). We are responsible for acquiring real-world software development projects, giving bachelor’s students the opportunity to apply the technical and theoretical knowledge gained during their studies in a professional…
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SAILS Lunch Time Seminar: Derya Soydaner
Lecture
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High-Tech Innovation Specialisation - Online Information Event
Study information
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Breaking the Cycle
Enhancing social inclusion through developing methods and analytical tools for understanding and reasoning about such phenomena based on sensor data.
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Previous winners
On this page you can learn more about the history of our Faculty Awards and view the previous winners.
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Multi-objective Evolutionary Algorithms for Optimal Scheduling
Multi-objective optimization is an effective technique for finding optimal solutions that balance several conflicting objectives. It has been applied in many fields of our world, because practical problems usually have more than one desired goal. For example, developing a new vehicle component might…
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Advancing Learned Algorithms for 2D X-ray Computed Tomography
This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.
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PA-AutoML
Creation of a framework for environmental parameter estimation that benefits from the consistency of physics-based theory-driven models and the accuracy of the machine-learning-based data-driven models
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Schedule
The Gorlaeus Building will be constructed in three phases, with the new building due to be completed by 2028.
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Towards High Performance and Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods
A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…
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ANO-NET: Anonymity in Complex Networks
This project develops methods for ensuring the anonymity of individuals in social network data.
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Software development by abstract behavioural specification
The development process of any software has become extremely important not just in the IT industry, but in almost every business or domain of research.
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On hard real-time scheduling of cyclo-static dataflow and its application in system-level design
Promotor: Prof.dr. E.F.A. Deprettere, Co-promoter: Todor P. Stefanov
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Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)
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NimbleAI
NimbleAI aims at solutions for ultra-energy efficient and secure neuromorphic sensing and processing at the edge.
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Trustworthy anomaly detection for smart manufacturing
This dissertation explores how we can make anomaly detection—identifying unusual or faulty behavior in complex systems—more trustworthy and effective, with a focus on smart manufacturing.
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The role of 14-3-3 proteins in ion homeostasis in the yeast Saccharomyces cerevisiae
We aim to understand ion homeostasis in the model eukaryote S. cerevisiae.
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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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MSc. Specialisation
The Business Studies specialisation is for science students who consider employment opportunities in industry, and who are looking to acquire knowledge of business principles and training in managerial skills. The specialisation can be followed by students doing a two-year Masters degree in one of…
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The Hybrid Intelligence Centre
Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human expertise and intentionality into account when making meaningful decisions and perform appropriate actions, together with ethical, legal and societal values.…
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Learning from small samples
Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…
- Science Internship Fair 2026
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HyTROS
Aiming to advance the development and deployment of a scalable, safe, and integrated hydrogen infrastructure to support the energy transition.
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Exploratory Data Mining in Multimodal data
The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…
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Cyber-Security-by-Integrated-Design (C-SIDe) project
Cyber-attacks, privacy-related problems or failures in functioning: many technologies that are used every day have security issues that are solved when the software is already in use. An interdisciplinary project, in which Olga Gadyatskaya, Harry Wijshoff, Alex Uta and Kristian Rietveld from the Leiden…
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Quantum Delta NL research programme
Quantum Delta NL, a research programme in which Leiden University participates, has been awarded 615 million euros from the National Growth Fund to help develop the Netherlands into a top player in quantum technology.
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Artificial Intelligence, Games and Education
Video games have emerged as one of the most interesting media of the turn of the century. The peculiar characteristic of video games is the biunivocal interaction between the computer and the human player.
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creatIef, Creatiever, creaTiefst? Onderzoek naar het belang en de werking van creativiteitstraining bij Bachelor ICT-studenten
This dissertation presents the results of the importance of creativity for ICT-students of Dutch universities of applied sciences (in Dutch: hogescholen), and the functioning of training courses that aim to promote creative abilities is highlighted.
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Contact
Contact the Graduate School of Science Office
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A Telling Story
Unravelling Mindreading Skills through Storytelling and Narratives
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Healthcare Information System Engineering: AI Technologies and Open Source Approaches
Healthcare Information Systems (HIS) are essential for modern healthcare delivery, yet their development faces significant challenges including heterogeneous data formats, regulatory compliance, and the growing demand for AI-driven decision support.
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Multi-objective mixed-integer evolutionary algorithms for building spatial design
Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.
- About this minor