A5006356500- Constraint Satisfaction and Optimization
- Logic, Reasoning, and Knowledge
- Cutaneous Melanoma Detection and Management
- Bayesian Modeling and Causal Inference
- Data Management and Algorithms
- Wine Industry and Tourism
- AI in cancer detection
- Formal Methods in Verification
- Contact Dermatitis and Allergies
- Topic Modeling
- Human Pose and Action Recognition
- Diverse Aspects of Tourism Research
- Information and Cyber Security
- Machine Learning and Data Classification
- Digital Marketing and Social Media
- Anomaly Detection Techniques and Applications
- Advanced Algebra and Logic
- Advanced Database Systems and Queries
- Psoriasis: Treatment and Pathogenesis
- Integrated Circuits and Semiconductor Failure Analysis
- International Business and FDI
- Logic, programming, and type systems
- Digital Imaging for Blood Diseases
- Cell Image Analysis Techniques
- Rough Sets and Fuzzy Logic
Lucerne University of Applied Sciences and Arts
2012-2023
University Hospital of Basel
2022
University of Luxembourg
2011-2012
University College Cork
2010-2011
University of Fribourg
2007
Abstract Academic research on cartel detection has primary focused algorithm-based screening of markets. However, only a few studies have assessed the extent to which competition authorities can generalize from developed model new In our paper, we aim fill this gap by investigating how close market an algorithm is trained be detect cartels in market. Our results confirm that when comparable training data are available, machine-learning-based models powerful tools flag cartels. show...
Assessment of psoriasis severity is strongly observer-dependent, and objective assessment tools are largely missing. The increasing number patients receiving highly expensive therapies that reimbursed only for moderate-to-severe motivates the development higher quality tools.To establish an accurate method based on segmenting images by machine learning technology.In this retrospective, non-interventional, single-centred, interdisciplinary study diagnostic accuracy, 259 standardized...
Tim vor der Brück, Marc Pouly. Proceedings of the 2019 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.
Hand eczema (HE) is one of the most frequent dermatoses, known to be both relapsing and remitting. Regular precise evaluation disease severity key for treatment management. Current scoring systems such as hand index (HECSI) suffer from intra- inter-observer variance. We propose an automated system based on deep learning models (DLM) quantify HE lesions' surface determine their anatomical stratification. In this retrospective study, a team 11 experienced dermatologists annotated lesions in...
Computing inference from a given knowledgebase is one of the key competences computer science. Therefore, numerous formalisms and specialized routines have been introduced implemented for this task. Typical examples are Bayesian networks, constraint systems or different kinds logic. It known today that these can be unified under common algebraic roof called valuation algebra. Based on system, generic algorithms processing arbitrary algebras defined. Researchers benefit high level abstraction...
The exact location of skin lesions is key in clinical dermatology. On one hand, it supports differential diagnosis (DD) since most conditions have specific predilection sites. the other matters for dermatosurgical interventions. In practice, lesion evaluation not well standardized and anatomical descriptions vary or lack altogether. Automated determination could benefit both situations.Establish an automated method to determine regions patient pictures evaluate gain DD performance a deep...
Pustular psoriasis (PP) is one of the most severe and chronic skin conditions. Its treatment difficult, measurements its severity are highly dependent on clinicians' experience. Pustules brown spots main efflorescences disease directly correlate with activity. We propose an automated deep learning model (DLM) to quantify lesions in terms count surface percentage from patient photographs.In this retrospective study, two dermatologists a student labeled 151 photographs PP patients for pustules...
Notices to airmen (NOTAMs) are text messages targeted pilots make them aware of short term events and obstacles. Typical examples military actions in airspaces or closed runways. NOTAMs written a strongly compressed format vocabulary, making the information hard access for non-trained readers. Smart NOTAM is commercial service offered by Skyguide that filters irrelevant specific route period. Additionally, it converts into standardized phraseology removes information. Having thousands...
Man vs. machine competitions have always been attracting much public attention and the famous defeats of human champions in chess, Jeopardy!, Go or poker undoubtedly mark important milestones history artificial intelligence. In this article we reflect on our experiences with a game-centric approach to teaching intelligence that follows historical development algorithms by popping hood these champion bots. Moreover, made available server infrastructure for playing card games perfect...