4,653 search results for “journal of the liacs graduate conference” in the Public website
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
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Socially Embedded AI Systems
This interdisciplinary research project explores several adaptive machine learning methods which can give insight into the interaction between human and machine. The ultimate goal is open and natural communication between humans and AI that should result in mutual trust, cooperation and coordination…
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Utopia: Universal Three-dimensiOnal Passport for process Individualization in Agriculture
Agricultural foods naturally vary in their detailed internal structure. To facilitate early detection of health hazards due to contamination or disease, predict maturity and minimize wastage, it is critical to take into account the internal characteristics of each individual product, as these enable…
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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Cleared for take-off, Game-based learning to prepare airline pilots for critical situations
Over the last decades, aviation safety has improved strongly. As a downside, airline pilots do not have as many opportunities to develop through experience the competencies that they need in critical situations.
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Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.
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Astrolinguistics
Design of a Linguistic System for Interstellar Communication Based on Logic
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Design and development of a comprehensive data management platform for cytomics: cytomicsDB
Promotor: J.N. Kok, Co-promotor: F.J. Verbeek
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Benefit for all – An ecosystem for a healthy lifestyle
The BENEFIT programme is a public-private ecosystem in a national consortium, aiming to support patients with cardiovascular diseases in their own home setting for a long-term healthy lifestyle.
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Parallel Worlds
Addressing the core novel objective of scalably assessing the impact of possible interventions through counterfactual prediction based on spatio-temporal data.
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Deep learning for visual understanding
With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.
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Abstract Behavioral Specification: unifying modeling and programming
We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.
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Business incubators: the impact of their support
A New Technology-Based Firm (NTBF) is a significant enabler of job creation and a driver of the economy through stimulating innovation.
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Hybrid Quantum-Classical Metaheuristics for Automated Machine Learning Applications
This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.
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AutoAI4EO
Advancing AutoML systems targeting machine learning tasks based on Earth Observation (EO) Datasets.
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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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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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Science Minor Information Market
Study information
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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.
- Public graduation presentation, Imara Bollinger
- Public graduation presentation, Lal Avgen
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Conference: The Poetics of Olfaction, 1500–1800
Conference
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Victoria NystAfrika-Studiecentrum
v.a.s.nyst@hum.leidenuniv.nl | 071 5272208
- Public graduation presentation, Mark Magee
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Institute of Biology Leiden assessed as excellent
An external visitation committee gave the Institute of Biology Leiden (IBL) an outstanding assessment. In terms of research quality and relevance to society, the IBL gets the highest score: excellent. The increase with five new female professors also receives praise from the committee.
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How queer is Artificial Intelligence?
AI is playing an increasingly important role in our lives, but that is not without danger. Eduard Fosch-Villaronga at eLaw warns that AI does not pay enough attention to the LGBTQ community.
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Minors in AI, Data & Digitialisation in Delft, Leiden and Rotterdam
The universities of Delft, Leiden and Rotterdam are working together to show their students what artificial intelligence (AI) means for their own field. Three AI minors will start in the 2022 – 2023 academic year and will answer questions such as: ‘How best can you use AI in your research discipline?’…
- Nine public graduation presentations
- Six public graduation presentations
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Largest research project on sustainable hydrogen production kicks off
It is one of the energy carriers of the future: hydrogen. But how can hydrogen be produced in a sustainable way? With over 50 million euros in funding from the Netherlands Organisation for Scientific Research(NWO) and industry, a research project involving 58 partners from both the Netherlands and abroad…
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Peace, Democracy, and Media Conference 2025
Conference, Just Peace Festival
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Conference to celebrate 40th anniversary of eLaw
Conference