Martin Masek - Academia.edu (original) (raw)

Papers by Martin Masek

2011 IEEE 11th International Conference on Bioinformatics and Bioengineering, 2011

ABSTRACT A new approach is proposed in this paper for identification of biomarkers and classifica... more ABSTRACT A new approach is proposed in this paper for identification of biomarkers and classification on Alzheimer's disease data by employing a rough-fuzzy hybrid approach called ARFIS (a framework for Adaptive TS-type Rough-Fuzzy Inference Systems). In this approach, the entropy-based discretization technique is employed first on the training data to generate clusters for each attribute with respect to the output information. The rough set-based feature reduction method is then utilized to reduce the number of features in a decision table obtained using the cluster information. Another rough set-based approach is employed for the generation of decision rules. After the construction and the evaluation phases of the proposed rough-fuzzy hybrid system, the classification is carried out on the testing set of the given data. The experimental results showed that the proposed approach achieved compatible classification results on Alzheimer's disease data compared to results from other existing approaches in the literature. It can be concluded that the proposed rough-fuzzy hybrid approach is a novel approach in predictive data mining in clinical medicine in terms of utilizing 1) rough set-based approaches for feature reduction and rule generation, 2) a hybrid fuzzy system for pattern classification, and revealing 3) rules for prediction of diagnostic results.

IFIP Advances in Information and Communication Technology, 2010

ABSTRACT Threats to critical infrastructure are not passive. Trying to identify what is in fact ’... more ABSTRACT Threats to critical infrastructure are not passive. Trying to identify what is in fact ’critical’ is proving to be very difficult as threats constantly evolve. A major benefit of simulating the infrastructure is that security tests and risk modelling can be applied before infrastructure is built or its environment modified, allowing for lower cost design alterations to minimise vulnerabilities. By using the D environment of an existing Game Engine we can explore several possibilities for security analysis that existing tools, due to their global view of the problem, do not allow. Providing participants with a first-person view of the situation allows for more realistic role-play, whilst the networked gaming technology allows remote experts to interact in an intuitive environment and explore, identify and assess the critical components of the infrastructure.

Lecture Notes in Computer Science, 2006

Abstract. In this paper, we report on our experiences in using an ani-mated competitive game with... more Abstract. In this paper, we report on our experiences in using an ani-mated competitive game with simulated physics to teach Artificial Intelli-gence techniques in an undergraduate computer science course. Students develop intelligent controllers for simulated vehicles, which ...

Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia - GRAPHITE '07, 2007

Exergaming is the use of video games in an exercise activity. In this paper we consider game desi... more Exergaming is the use of video games in an exercise activity. In this paper we consider game design for successful exergames. To do this, we review the history of exergaming and the current state of research in this field. We find that there exists some research aimed at evaluating the physical and health characteristics of exergames, but research on how to design exercise games is still in the early stages. From an analysis of this information, and drawing on established principles from sports science for the prescription of exercise programs, we then attempt to identify success factors to guide designers of exergaming systems.

TENCON 2009 - 2009 IEEE Region 10 Conference, 2009

Doppler ultrasound monitors are commonly used to measure the Fetal Heart Rate (FHR) in routine sc... more Doppler ultrasound monitors are commonly used to measure the Fetal Heart Rate (FHR) in routine screenings. They are less intrusive than Fetal Electrocardiography (FECG), but are more prone to noise and thus seen as less accurate devices. Recent developments resulted in beat-to-beat heart rate algorithms for Doppler shift monitors that claimed to approach the accuracy of that obtained from direct FECG. We evaluate one such algorithm, along with a noise tolerant improvement using a mixture of synthetic and real fetal heart data in order to quantify their accuracy and robustness in the presence of the typical noise in signals from an ultrasound probe. The findings showed that our proposed approach achieved higher accuracy and better robustness compared to the beat-to-beat fetal heart detection approach.

2009 9th International Symposium on Communications and Information Technology, 2009

Lecture Notes in Computer Science, 2012

ABSTRACT Coevolutionary algorithms are a special kind of evolutionary algorithm with advantages i... more ABSTRACT Coevolutionary algorithms are a special kind of evolutionary algorithm with advantages in solving certain specific kinds of problems. In particular, competitive coevolutionary algorithms can be used to study problems in which two sides compete against each other and must choose a suitable strategy. Often these problems are multimodal -- there is more than one strong strategy for each side. In this paper, we introduce a scalable multimodal test problem for competitive coevolution, and use it to investigate the effectiveness of some common coevolutionary algorithm enhancement techniques.

Lecture Notes in Computer Science, 2011

In this paper, we investigate the effectiveness of several techniques commonly recommended for ov... more In this paper, we investigate the effectiveness of several techniques commonly recommended for overcoming convergence problems with coevolutionary algorithms. In particular, we investigate effects of the Hall of Fame, and of several diversity maintenance methods, on a problem designed to test the ability of coevolutionary algorithms to deal with an intransitive superiority relation between solutions. We measure and analyse the effects of these methods on population diversity and on solution quality.

... 2003) have given way to more constructivist paradigms of learning and their connection with a... more ... 2003) have given way to more constructivist paradigms of learning and their connection with assessment (Elwood & Klenowski ... for individual differences; and thirdly, constructivist approaches justify strategies like collaborative and discussion-oriented activities (Jonassen, 1994). ...

ABSTRACT This paper presents a method for combining several different estimates of the mammograph... more ABSTRACT This paper presents a method for combining several different estimates of the mammographic skin-air interface in order to eliminate noise inherent to each individual segmentation algorithm. Given that each algorithm provides a binary mask of the breast, the first step is to isolate pixels adjacent to the skin-air interface. A final estimate of the skin-air interface for each point results from the combination of skin-air interface location data from each procedure. Data for each point is grouped as a set, upon which statistical operators, such as the elimination of outliers, are applied. Since the skin-air interface is a continuous line, data from prior points is also used as an estimate of points that follow. Results are evaluated in terms of success with the combination of two skin-air interface segmentation algorithms. The resulting `hybrid' technique overcomes several problems that beset each individual algorithm