PD Dr. habil. Olaf Müller

Profil

• Andrejewski-Tag zum Thema: "Stability Phenomena in Geometry and Mathematical Physics"

  Quelle ↗

  Zeitraum: 10/2018 - 10/2018 Projektleitung: PD Dr. habil. Olaf Müller

• BGG Berliner Gesellschaft für Großaquarien mbH

  P

  21 Treffer65.6%
  • Entwicklung einer kamerabasierten Lösung für die Detektion des Bewegungsverhaltens und die Bestimmung des Längen- und Massenwachstums
    P

    65.6%

• cubeoffice GmbH & Co.KG

  P

  21 Treffer65.6%
  • Entwicklung einer kamerabasierten Lösung für die Detektion des Bewegungsverhaltens und die Bestimmung des Längen- und Massenwachstums
    P

    65.6%

• Landscape Research Group

  P

  13 Treffer62.7%
  • EU: Nachhaltige Zukunft für Europas Kulturlandschaftserbe: Werkzeuge zum Verständnis, zur Verwaltung und zum Schutz von Landschaftsfunktionen und -werten (HERCULES)
    P

    62.7%

• Forest Communicators' Network

  P

  14 Treffer62.7%
  • EU: Nachhaltige Zukunft für Europas Kulturlandschaftserbe: Werkzeuge zum Verständnis, zur Verwaltung und zum Schutz von Landschaftsfunktionen und -werten (HERCULES)
    P

    62.7%

• Geneviève Girod Perez

  P

  14 Treffer62.7%
  • EU: Nachhaltige Zukunft für Europas Kulturlandschaftserbe: Werkzeuge zum Verständnis, zur Verwaltung und zum Schutz von Landschaftsfunktionen und -werten (HERCULES)
    P

    62.7%

• Sinergise Laboratorij za Geografske informacijske Sisteme

  P

  12 Treffer62.7%
  • EU: Nachhaltige Zukunft für Europas Kulturlandschaftserbe: Werkzeuge zum Verständnis, zur Verwaltung und zum Schutz von Landschaftsfunktionen und -werten (HERCULES)
    P

    62.7%

• ALTICIME

  P

  13 Treffer62.7%
  • EU: Nachhaltige Zukunft für Europas Kulturlandschaftserbe: Werkzeuge zum Verständnis, zur Verwaltung und zum Schutz von Landschaftsfunktionen und -werten (HERCULES)
    P

    62.7%

• European Landowners' Organization

  P

  13 Treffer62.7%
  • EU: Nachhaltige Zukunft für Europas Kulturlandschaftserbe: Werkzeuge zum Verständnis, zur Verwaltung und zum Schutz von Landschaftsfunktionen und -werten (HERCULES)
    P

    62.7%

• Bernstein Center for Computational Neuroscience Berlin

  PT

  77 Treffer59.8%
  • DFG-Sachbeihilfe: Aufmerksamkeit und sensorische Integration im aktiven Sehen von bewegten Objekten
    P

    59.8%
  • SFB 1315/2: Mechanismen und Störungen der Gedächtniskonsolidierung: Von Synapsen zur Systemebene
    P

    50.5%

• SoftBank Robotics

  P

  39 Treffer59.4%
  • Embodied Audition for RobotS
    P

    59.4%

• The INTERSPEECH 2010 paralinguistic challenge

  2010

  566 Zitationen · DOI

  Most paralinguistic analysis tasks are lacking agreed-upon evaluation procedures and comparability, in contrast to more ‘traditional ’ disciplines in speech analysis. The INTERSPEECH 2010 Paralinguistic Challenge shall help overcome the usually low compatibility of results, by addressing three selected subchallenges. In the Age Sub-Challenge, the age of speakers has to be determined in four groups. In the Gender Sub-Challenge, a three-class classification task has to be solved and finally, the Affect Sub-Challenge asks for speakers ’ interest in ordinal representation. This paper introduces the conditions, the Challenge corpora “aGender ” and “TUM AVIC ” and standard feature sets that may be used. Further, baseline results are given.

• Paralinguistics in speech and language—State-of-the-art and the challenge

  2012

  Computer Speech & Language · 274 Zitationen · DOI

• High-dose baclofen for the treatment of alcohol dependence (BACLAD study): A randomized, placebo-controlled trial

  2015

  European Neuropsychopharmacology · 170 Zitationen · DOI

• Comparison of Four Approaches to Age and Gender Recognition for Telephone Applications

  2007

  136 Zitationen · DOI

  This paper presents a comparative study of four different approaches to automatic age and gender classification using seven classes on a telephony speech task and also compares the results with human performance on the same data. The automatic approaches compared are based on (1) a parallel phone recognizer, derived from an automatic language identification system; (2) a system using dynamic Bayesian networks to combine several prosodic features; (3) a system based solely on linear prediction analysis; and (4) Gaussian mixture models based on MFCCs for separate recognition of age and gender. On average, the parallel phone recognizer performs as well as Human listeners do, while loosing performance on short utterances. The system based on prosodic features however shows very little dependence on the length of the utterance.

• Baclofen for the treatment of alcohol use disorder: the Cagliari Statement

  2018

  The Lancet Psychiatry · 132 Zitationen · DOI

• Gender Differences in the Performance of a Computerized Version of the Alcohol Use Disorders Identification Test in Subcritically Injured Patients Who Are Admitted to the Emergency Department

  2004

  Alcoholism Clinical and Experimental Research · 116 Zitationen · DOI

  Objective: The Alcohol Use Disorder Identification Test (AUDIT) has been recommended as a screening tool to detect patients who are appropriate candidates for brief, preventive alcohol interventions. Lower AUDIT cutoff scores have been proposed for women; however, the appropriate value remains unknown. The primary purpose of this study was to determine the optimal AUDIT cutpoint for detecting alcohol problems in subcritically injured male and female patients who are treated in the emergency department (ED). An additional purpose of the study was to determine whether computerized screening for alcohol problems is feasible in this setting. Methods: The study was performed in the ED of a large, urban university teaching hospital. During an 8‐month period, 1205 male and 722 female injured patients were screened using an interactive computerized lifestyle assessment that included the AUDIT as an embedded component. World Health Organization criteria were used to define alcohol dependence and harmful drinking. World Health Organization criteria for excessive consumption were used to define high‐risk drinking. The ability of the AUDIT to classify appropriately male and female patients as having one of these three conditions was the primary outcome measure. Results: Criteria for any alcohol use disorder were present in 17.5% of men and 6.8% of women. The overall accuracy of the AUDIT was good to excellent. At a specificity >0.80, sensitivity was 0.75 for men using a cutoff of 8 points and 0.84 for women using a cutoff of 5 points. Eighty‐five percent of patients completed computerized screening without the need for additional help. Conclusions: Different AUDIT scoring thresholds for men and women are required to achieve comparable sensitivity and specificity when using the AUDIT to screen injured patients in the ED. Computerized AUDIT administration is feasible and may help to overcome time limitations that may compromise screening in this busy clinical environment.

• THE RELEASE OF CYTOKINES, ADHESION MOLECULES, AND EXTRACELLULAR MATRIX PARAMETERS DURING AND AFTER REPERFUSION IN HUMAN LIVER TRANSPLANTATION

  1996

  Transplantation · 96 Zitationen · DOI

  Poor initial graft function may increase postoperative morbidity including the risk of early allograft rejection. Various mediators, including immunostimulatory cytokines, may be released during reperfusion in relation to the extent of preservation and reperfusion injury. For this purpose, 81 patients with 85 liver transplants were monitored for cytokines, adhesion molecules, extracellular matrix (ECM) parameters, and neopterin at predefined time-points during and after transplantation. To estimate the origin of cytokine release, blood was obtained central and hepatic venously for the first 48 hr after reperfusion and subsequently from a peripheral vein. One-year patient survival was 88.9%; no relation to initial graft function was observed. Poor initial graft function failed to increase the risk for subsequent infectious complications but was associated with an increased risk of early allograft rejection. The incidence of steroid-resistant rejection was significantly increased in patients with poor initial graft function (35.7% versus 12.7% in patients with good and moderate initial graft function; P < or = 0.05). Various cytokines, adhesion molecules, and ECM parameters including sTNF-RII, sIL-2R, IL-8, IL-10, sVCAM-1, E-selectin, hyaluronic acid, sialic acid, and laminin correlated significantly with the extent of preservation and reperfusion injury. Although none of these parameters was more appropriate in determining the extent of preservation and reperfusion injury than currently established parameters (AST, ALT, and color and amount of bile production), the combined increase in these parameters may not only promote tissue repair but may also perpetuate liver allograft injury and thereby cause significant morbidity. Besides cytokines and adhesion molecules, the ECM may play a pivotal role in determining repair or ongoing tissue injury. Ongoing changes at the microvasculature and basement membrane may result in an increase of local and circulating cytokines and adhesion molecules, which increase the risk of subsequent early allograft rejection. Furthermore, the increase in sTNF-RII, E-selectin, and laminin during reperfusion was predictive of subsequent development of acute allograft rejection. These observations may be of value for further strategies to decrease reperfusion injury and prevent early allograft rejection.

• Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study

  2001

  Lecture notes in computer science · 86 Zitationen · DOI

• The connected user interface

  2004

  85 Zitationen · DOI

  Navigation services can be found in different situations and contexts: while connected to the web through a desktop PC, in cars, and more recently on PDAs while on foot. These services are usually well designed for their specific purpose, but fail to work in other situations. In this paper we present an approach that connects a variety of specialized user interfaces to achieve a personal navigation service spanning different situations. We describe the concepts behind the \bf BPN (BMW Personal Navigator), an entirely implemented system that combines a desktop event and route planner, a car navigation system, and a multi-modal, in- and outdoor pedestrian navigation system for a PDA. Rather than designing for one unified UI, we focus on connecting specialized UIs for desktop, in-car and on-foot use.

• Soccer: Is scoring goals a predictable Poissonian process?

  2010

  Europhysics Letters (EPL) · 83 Zitationen · DOI

  The non-scientific event of a soccer match is analysed on a strictly scientific level. The analysis is based on the recently introduced concept of a team fitness (Eur. Phys. J. B 67, 445, 2009) and requires the use of finite-size scaling. A uniquely defined function is derived which quantitatively predicts the expected average outcome of a soccer match in terms of the fitness of both teams. It is checked whether temporary fitness fluctuations of a team hamper the predictability of a soccer match. To a very good approximation scoring goals during a match can be characterized as independent Poissonian processes with pre-determined expectation values. Minor correlations give rise to an increase of the number of draws. The non-Poissonian overall goal distribution is just a consequence of the fitness distribution among different teams. The limits of predictability of soccer matches are quantified. Our model-free classification of the underlying ingredients determining the outcome of soccer matches can be generalized to different types of sports events.

• Prosodic and other Long-Term Features for Speaker Diarization

  2009

  IEEE Transactions on Audio Speech and Language Processing · 79 Zitationen · DOI

  Speaker diarization is defined as the task of determining ldquowho spoke whenrdquo given an audio track and no other prior knowledge of any kind. The following article shows how a state-of-the-art speaker diarization system can be improved by combining traditional short-term features (MFCCs) with prosodic and other long-term features. First, we present a framework to study the speaker discriminability of 70 different long-term features. Then, we show how the top-ranked long-term features can be combined with short-term features to increase the accuracy of speaker diarization. The results were measured on standardized datasets (NIST RT) and show a consistent improvement of about 30% relative in diarization error rate compared to the best system presented at the NIST evaluation in 2007.

• Machine learning and deep neural network — Artificial intelligence core for lab and real-world test and validation for ADAS and autonomous vehicles: AI for efficient and quality test and validation

  2017

  2017 Intelligent Systems Conference (IntelliSys) · 74 Zitationen · DOI

  Autonomous vehicles are now the future of automobile industry. Human drivers can be completely taken out of the loop through the implementation of safe and intelligent autonomous vehicles. Although we can say that HW and SW development continues to play a large role in the automotive industry, test and validation of these systems is a must. The ability to test these vehicles thoroughly and efficiently will ensure their proper and flawless operation. When a large number of people with heterogeneous knowledge and skills try to develop an autonomous vehicle together, it is important to use a sensible engineering process. State of the art techniques for such development include Waterfall, Agile & V-model, where test & validation (T&V) process is an integral part of such a development cycle. This paper will propose a new methodology using machine learning & deep neural network (AI-core) for lab & real-world T&V for ADAS (Advanced driver assistance system) and autonomous vehicles. The methodology will initially connect T&V of individual systems in each level of development and that of complete system efficiently, by using the proposed phase methodology, in which autonomous driving functions are grouped under categories, special T&V processes are carried on simulation as well as in HIL systems. The complete transition towards AI in the field of T&V will be a sequence of steps. Initially the AI-core is fed with available test scenarios, boundary conditions for the test cases and scenarios, and examples, the AI-core will conduct virtual tests on simulation environment using available test scenarios and further generates new test cases and scenarios for efficient and precise tests. These test cases and scenarios are meant to cover all available cases and concentrate on the area where bugs or failures occur. The complete surrounding environment in the simulation is also controlled by the AI-core which means that the system can attain endless/all-possible combinations of the surrounding environment which is necessary. Results of the tests are sorted and stored, critical and important tests are again repeated in the real-world environment using automated cars with other real subsystems to depict the surrounding environment, which are all controlled by the AI-core, and meanwhile the AI-core is always in the loop and learning from each and every executed test case and its results/outcomes. The main goal is to achieve efficient and high quality test and validation of systems for automated driving, which can save precious time in the development process. As a future scope of this methodology, we can step-up to make most parts of test and validation completely autonomous.

• Johnny: An Autonomous Service Robot for Domestic Environments

  2011

  Journal of Intelligent & Robotic Systems · 73 Zitationen · DOI

• Neural activation during processing of aversive faces predicts treatment outcome in alcoholism

  2013

  Addiction Biology · 60 Zitationen · DOI

  Neuropsychological studies reported decoding deficits of emotional facial expressions in alcohol-dependent patients, and imaging studies revealed reduced prefrontal and limbic activation during emotional face processing. However, it remains unclear whether this reduced neural activation is mediated by alcohol-associated volume reductions and whether it interacts with treatment outcome. We combined analyses of neural activation during an aversive face-cue-comparison task and local gray matter volumes (GM) using Biological Parametric Mapping in 33 detoxified alcohol-dependent patients and 33 matched healthy controls. Alcoholics displayed reduced activation toward aversive faces-neutral shapes in bilateral fusiform gyrus [FG; Brodmann areas (BA) 18/19], right middle frontal gyrus (BA46/47), right inferior parietal gyrus (BA7) and left cerebellum compared with controls, which were explained by GM differences (except for cerebellum). Enhanced functional activation in patients versus controls was found in left rostral anterior cingulate cortex (ACC) and medial frontal gyrus (BA10/11), even after GM reduction control. Increased ACC activation correlated significantly with less (previous) lifetime alcohol intake [Lifetime Drinking History (LDH)], longer abstinence and less subsequent binge drinking in patients. High LDH appear to impair treatment outcome via its neurotoxicity on ACC integrity. Thus, high activation of the rostral ACC elicited by affective faces appears to be a resilience factor predicting better treatment outcome. Although no group differences were found, increased FG activation correlated with patients' higher LDH. Because high LDH correlated with worse task performance for facial stimuli in patients, elevated activation in the fusiform 'face' area may reflect inefficient compensatory activation. Therapeutic interventions (e.g. emotion evaluation training) may enable patients to cope with social stress and to decrease relapses after detoxification.

• The automotive ontology

  2011

  56 Zitationen · DOI

  Cars have been increasingly equipped with technology, meeting the demand of people for safety, connectivity, and comfort. Upcoming HMIs provide access to in-car systems and web services in a personalized manner that facilitates a large array of functionality even while driving, with other passengers also benefiting from an enhanced experience. Such intelligent applications however depend on a solid basis to be effective: Personalization, adaptive HMI, situation-aware intelligent systems -- either of these require semantic knowledge about the user, the vehicle, the current driving situation. Advanced functions coexist with sensors, other functions, and even other vehicles. In such an environment, collaboration can be highly beneficial. Obtaining a common understanding of knowledge and providing a platform to exchange it is essential in order to reach the next level of intelligent in-car systems. This work describes the Automotive Ontology, which is located at the core of such an open platform. We give an overview of design areas relevant to automotive applications, as well as meta aspects that facilitate inference and reasoning.

• Multimodal Input in the Car, Today and Tomorrow

  2011

  IEEE Multimedia · 55 Zitationen · DOI

  With the increased functionality offered by in-vehicle systems, multimodal input is emerging as an effective means of interaction to minimize driver distraction. This article describes the current state of this technology for automotive applications, various ways to combine modalities, and outlooks toward the future.

• Exploiting speech for recognizing elderly users to respond to their special needs

  2003

  55 Zitationen · DOI

  In this paper we show how to exploit raw speech data to gain higher level information about the user in a mobile context. In particular we introduce an approach for the estimation of age and gender using well known machine learning techniques. On the basis of this information, systems like for example a mobile pedestrian navigation system, can be made adaptive to the special needs of a specific user group (here the elderly). First we provide a motivation why we consider such an adaptation as necessary, then we outline some adaptation strategies that are adequate for mobile assistants. The major part of the paper is about (a) identifying and extracting features of speech that are relevant for age and gender estimation and (b) classifying a particular speaker, treating uncertainty, and updating the user model over time. Finally we provide a short outlook on current work.

• Usefulness of Dismissing and Changing the Coach in Professional Soccer

  2011

  PLoS ONE · 49 Zitationen · DOI

  Whether a coach dismissal during the mid-season has an impact on the subsequent team performance has long been a subject of controversial scientific discussion. Here we find a clear-cut answer to this question by using a recently developed statistical framework for the team fitness and by analyzing the first two moments of the effect of a coach dismissal. We can show with an unprecedented small statistical error for the German soccer league that dismissing the coach within the season has basically no effect on the subsequent performance of a team. Changing the coach between two seasons has no effect either. Furthermore, an upper bound for the actual influence of the coach on the team fitness can be estimated. Beyond the immediate relevance of this result, this study may lead the way to analogous studies for exploring the effect of managerial changes, e.g., in economic terms.

• Reverse Pharmacognosy: Application of Selnergy, a New Tool for Lead Discovery. The Example of &amp;#949;-Viniferin

  2005

  Current Drug Discovery Technologies · 49 Zitationen · DOI

  The aim of reverse pharmacognosy is to find new biological targets for natural compounds by virtual or real screening and identify natural resources that contain the active molecules. To demonstrate the applicability of this concept, we report here a study on epsilon-viniferin, an active ingredient for cosmetic development. Nevertheless, this natural substance is weakly defined in terms of biological properties. SELNERGY, an inverse docking computer software, was used to identify putative binding biological targets for epsilon-viniferin. Among the 400 screened proteins two targets were retained. For cosmetic application, cyclic nucleotide phosphodiesterase 4 (PDE4) was the most interesting candidate. Moreover, other PDE subtypes (1, 2, 3, 5 and 6) were not retained, indicating a selectivity for PDE4. The experimental binding tests on the 6 subtypes of PDE revealed a significant selectivity of epsilon-viniferin for the PDE4 subtype. This selectivity was confirmed by evaluation of epsilon-viniferin on the secretion of TNF-alpha and Interleukin-8. Our data demonstrated that epsilon-viniferin possesses anti-inflammatory properties by inhibiting PDE4 subtype. In conclusion, reverse pharmacognosy and its inverse docking component cannot only be integrated into a program for new lead discovery but is also a useful approach to find new applications for identified compounds.

• Local danger warnings for drivers

  2010

  48 Zitationen · DOI

  Local danger warning is an important function of Advanced Driver Assistance Systems (ADAS) to improve the safety of driving. The user interface (the warning presentation) is particularly crucial to a successful danger avoidance. We present a user study investigating various warning presentations using a scenario of emergent road obstacles. Two presentation factors were selected: modality and level of assistance. The modality factor had 4 variants: speech warning, visual and speech warning, visual warning with blinking cue, and visual warning with sound cue. The level of assistance varied between with or without action suggestions (AS). In accordance with the ISO usability model, a total of 6 measurements were derived to assess the effectiveness and efficiency of the warnings and the drivers' satisfaction. Results indicate that the combination of speech and visual modality leads to the best performance as well as the highest satisfaction. In contrast, purely auditory and purely visual modalities were both insufficient for presenting high-priority warnings. AS generally improved the usability of the warnings especially when they were accompanied by supporting information so that drivers could validate the suggestions.

• Speaker Classification I: Fundamentals, Features, and Methods

  2007

  Springer eBooks · 46 Zitationen

• On the treatment effect heterogeneity of antidepressants in major depression: A Bayesian meta-analysis and simulation study

  2020

  PLoS ONE · 42 Zitationen · DOI

  The published data from RCTs on antidepressants for the treatment of major depression is compatible with a near-constant treatment effect. Although it is impossible to rule out a substantial treatment effect heterogeneity, its existence seems rather unlikely. Since the average treatment effect of antidepressants falls short of clinical relevance, the current prescribing practice should be re-evaluated.

• Making use of drivers' glances onto the screen for explicit gaze-based interaction

  2010

  39 Zitationen · DOI

  Interaction with communication and infotainment systems in the car is common while driving. Our research investigates modalities and techniques that enable interaction with interactive applications while driving without compromising safety. In this paper we present the results of an experiment where we use eye-gaze tracking in combination with a button on the steering wheel as explicit input substituting the interaction on the touch screen. This approach combines the advantages of direct interaction on visual displays without the drawbacks of touch screens. In particular the freedom of placement for the screen (even out of reach from the user) and that both hands remain on the steering wheel are the main advantages. The results show that this interaction modality is slightly slower and more distracting than a touch screen but it is significantly faster than automated speech interaction.

• A fast-match approach for robust, faster than real-time speaker diarization

  2007

  38 Zitationen · DOI

  During the past few years, speaker diarization has achieved satisfying accuracy in terms of speaker Diarization Error Rate (DER). The most successful approaches, based on agglomerative clustering, however, exhibit an inherent computational complexity which makes real-time processing, especially in combination with further processing steps, almost impossible. In this article we present a framework to speed up agglomerative clustering speaker diarization. The basic idea is to adopt a computationally cheap method to reduce the hypothesis space of the more expensive and accurate model selection via Bayesian Information Criterion (BIC). Two strategies based on the pitch-correlogram and the unscented-transform based approximation of KL-divergence are used independently as a fast-match approach to select the most likely clusters to merge. We performed the experiments using the existing ICSI speaker diarization system. The new system using KL-divergence fast-match strategy only performs 14% of total BIC comparisons needed in the baseline system, speeds up the system by 41% without affecting the speaker Diarization Error Rate (DER). The result is a robust and faster than real-time speaker diarization system.

• Automatic recognition of speakers² age and gender on the basis of empirical studies

  2006

  37 Zitationen · DOI

  This paper describes a system that exploits the paralinguistic information in the speech to estimate the speakers’ age and gender. Compared with previously published work, the so called AGENDER approach involves finer grained speaker classes and achieves a significantly higher classification accuracy. The introduction encompasses various application examples representing the actual AGENDER project context. Then hypotheses, method and a representative selection of results from extensive corpus analyses are presented, that build the empirical basis for the machine learning. Finally, the AGENDER approach on speaker classification is outlined, involving the comparison of different classification methods as well as evaluation results. The paper finishes with an outlook on extensions that are scheduled for the next project phase.

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Name

PD Dr. habil. Olaf Müller

Titel

PD Dr. habil.

Fakultät

Mathematisch-Naturwissenschaftliche Fakultät

Institut

Institut für Mathematik

Arbeitsgruppe

Analysis II

Telefon

+49 30 2093-45435

HU-FIS-Profil

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26.4.2026, 01:09:37