yusuke1997/dblp-id-title huggingface dataset:
Authentifizierung durch Sprache Potenziale und Grenzen biometrische Systeme
Chablis - Eine Abrechnungs- und Zahlungsinfrastruktur für digitale Bibliotheken
Toolset zur Planung und Qualitätssicherung von verteilten virtuellen Netzwerkstrukturen
Sicherheit im Netz - Was kann der Gesetzgeber tun? Europäische Ansichten und Aussichten
Identity Management - Best Practice
Evaluating Cooperative Web Caching for Emerging Network Technologies
Einführung von Content Management Systemen an Hochschulen
Integration bestehender IP-basierter Autorisierung und Abrechnung in Shibboleth-basierte Föderationen
Realisierung von sicheren Over-the-Air Updates für ESP8266-basierte IoT-Geräte
Combining Multiple Intrusion Detection and Response Technologies in an Active Networking Based Architecture
Leichtgewichtiges Security Incident und Event Management im Hochschulumfeld
Technologie-Entwicklungen und Probleme auf dem Weg zum Future Net
Persönliche Verantwortung und Haftungsrisiken von IT-Verantwortlichen-Zivilrechtliche Aspekte
Stakeholder Specific Visualization and Automated Reporting of Network Scanning Results applying Vis4Sec
MetaVoip - Sharing Contact Information over Organizational Boundaries
2. DFN-Forum Kommunikationstechnologien Verteilte Systeme im Wissenschaftsbereich, 27.05. - 28.05.2009 in München
Chancen und Möglichkeiten von SmartCards im universitären Umfeld
Evaluation von VIRL, GNS3 und Mininet als Virtual Network Testbeds in der Hochschullehre
Der Einfluss von Schwankungen der Übertragungsreichweite auf die Leistungsfähigkeit von Ad-Hoc Netzwerken
CommUNIcity - eine Infostructure für Lehre und Forschung
A life cycle model für collaborative research environments
Das bwGRiD - "High Performance Compute Cluster" als flexible, verteilte Wissenschaftsinfrastruktur
Data Warehouse-gestützte Management-Informations-Systeme
eduGAIN verbindet Föderationen
An agent-based framework for decentralized reconstruction of attack paths
Computergestützte Hochschullehre - das cHL-Konzept
E-Business in der Hochschule: Wirklichkeit, Vision und Voraussetzungen
MyCDTM - Portal und Informationssystem für Lehre und Forschung
Virtual Private Networks Coping with Complexity
Dedizierte Wellenlängenverbindungen als reguläres Dienstangebot der europäischen Forschungsnetze
Automatisierte Korrelation und Aggregation von Syslog-Nachrichten in NoSQL-basierten Datenbanken
Grafische Darstellung von XML Schema Dokumenten - ein Beispiel für XML2SVG - XSLT Transformation zur Erzeugung von SVG aus XML
Erfahrungsbericht 'Notebook-Seminar'
1. DFN-Forum Kommunikationstechnologien: Verteilte Systeme im Wissenschaftsbereich, 28.05. - 29.05.2008 in Kaiserslautern
A Legal and Technical Perspective on Secure Cloud Storage
OpenID unter Sicherheitsgesichtspunkten
Präsentation und Kollaboration in Televeranstaltungen mit dem multimedia lecture board
10. DFN-Forum - Kommunikationstechnologien, 30.-31. Mai 2017, Berlin, Germany
On the Limitations of Security Concepts for Mobile Adhoc Networks Routing Protocols
Videokommunikation im Internet - Vorschläge zu ihrer Verbreitung
Zugangskontrolle für einen Videoverteildienst mit IP Multicast
Security Awareness Kampagne als Element aktiven Lernens - ein Erfahrungsbericht
Urheberrecht und Internet - eine Einführung für Hochschulen
Statistische Analyse von Delay-Messungen zur Performance-Evaluation in Netzwerken
Dezentrales Identity Management für Web- und Desktop-Anwendungen
Elektronische Beweismittelsicherung auf der Basis von Computer Forensik
eDiskurse mit Dito
Sicherheit und Privatsphäre in RFID-Systemen
Web-Portal-Management in dezentralen Organisationsumgebungen
Virtual Private Network / Multi Protocol Label Switching
Modulare e-Learning Plattformen bei der Deutschen Telekom AG - Projekterfahrung vom Computer Based Training zum prozessgesteuerten Lernen
Aufbau und Betrieb des drahtlosen Netzes DUKATH an der Universität Karlsruhe
Integrierter Shibboleth Identity Provider auf Basis verteilter Identitätsdaten
Stirbt mit der Sicherheit nicht nur die Freiheit sondern auch die Privatheit?
Neues Konzept für einen DFN-weiten Zertifikatsserver
Erfahrungen und Perspektiven eines rollenbasierten IdM
useworld.net: Eine benutzeradaptive socialware für die Mensch-Maschine-Interaktionsforschung
High-Efficient Intrusion Detection Infrastructure
Complex Networks Management Systems with Geoinformation Presentation of Objects under Management
8. DFN-Forum Kommunikationstechnologien, 6.-9. Juni 2015, Lübeck, Germany
Kommunikation und Regulierung
MPLS-TP - The New Technology for Packet Transport Networks
Sicherheitsdesign für die Netzinfrastruktur
Die "Neue Verwaltungsführung" in Hochschulen Traditionelle Hochschulen im Übergang zu Dienstleistungsunternehmen
Ganzheitliche Architektur zur Entwicklung und Analyse sicherheitskritischer Systeme und Anwendungen
Security, E-Learning, E-Services, 17. DFN-Arbeitstagung über Kommunikationsnetze, Düsseldorf, 2003
Meta Directory als sicheres und zentrales Kommunikationsverzeichnis für das Land Baden-Württemberg
SIP Security
Konzeption einer Architektur zur Unterstützung von Mobilität und Multihoming im zukünftigen Internet
Wie sicher ist die Wissensgesellschaft?
Elektronische Signaturen für Online-Dienste an Universitäten und Fachhochschulen
Das Datenschutzkonzept für das föderierte Frühwarnsystem im D-Grid und seine technische Umsetzung
Der elektronische Sicherheitsinspektor eSI: Ein Tool zur dynamischen Analyse der IT-Sicherheit eines Systems
Wireless Local Area Networks
Bewertungskriterien und ihre Anwendung zur Evaluation und Entwicklung sicherer Sync \& Share-Dienste
Service Level Agreements als Basis der Qualitätssicherung für einen IT-Betrieb
Securing VoIP Networks using graded Protection Levels
Sicherheit in verteilten Web-Applikationen durch aspektorientierte Programmierung
Teachware on Demand im Kontext eines Peer-To-Peer-Netzwerks
Interworking von UMTS und LAN: Eine sicherheitstechnische Betrachtung
Inter-Clouds: Einsatzmöglichkeiten und Anforderungen an die IT-Sicherheit
Software Defined Networking: Bridging the gap between distributed-systems and networked-systems research
Data Security in Service-Oriented Architectures
Die OCTAVE-Risikoanalysemethode als selbstgesteuerter Einstieg ins Informationssicherheitsmanagement
IT Security Trends
Überblick über den aktuellen Stand der Forschungsberichterstattung : Integration, Standardisierung, verteilte Informationssysteme
Auswahl von Netzwerktransportangeboten in einer Future-Internet-Architektur basierend auf funktionalen Blöcken
IT-Servicemanagement Rahmenwerke - wie sie sinnvoll in Universitäten einsetzbar sind -
Honeypots and Limitations of Deception
5. DFN-Forum Kommunikationstechnologien: Verteilte Systeme im Wissenschaftsbereich, Beiträge der Fachtagung, 21.-22. Mai 2012, Regensburg
Informationssicherheit als Frage der Kultur oder wie viel Sicherheit benötigt ein Unternehmen
perfSONAR-Lite TSS: Schnelldiagnose von Netzverbindungen im EGEE-III-Projekt
Integriertes Informationsmanagement für Hochschulen: Das Projekt IntegraTUM
Rethinking Multi-Layer Multi-Domain Network Monitoring
Aufbau eines Europäischen Virtuellen Labors für Entwurf, Überwachung und Steuerung von technischen Prozessen
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks
An Experimental Evaluation of Inversion-and Transposition-Based Genomic Distances through Simulations
GSDeep-DTA: A Hybrid Graph and Sequence-based Deep Learning Framework for Robust Drug-Target Affinity Prediction
Identifying essential features for the classification of real and pseudo microRNAs precursors using fuzzy decision trees
Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering
Human Biodata Governance: Addressing the Tension Between Innovation and Protection Through DPIAs
An Architecture Combining Bayesian segmentation and Neural Network Ensembles for Protein Secondary Structure Prediction
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2010, Montreal, QC, Canada, May 2-5, 2010
Improved prediction of transcription binding sites from chromatin modification data
Predicting the severity of motor neuron disease progression using electronic health record data with a cloud computing Big Data approach
Inferring the dynamics of gene regulatory networks via optimized recurrent neural network and dynamic Bayesian network
Automated optic nerve head image fusion of nonhuman primate eyes using heuristic optimization algorithm
Motif Evaluation by Leave-one-out Scoring
A graph-based representation of Gene Expression profiles in DNA microarrays
Model and feature selection in microarray classification
A Differential Evolution Approach for Protein Folding
A deep learning approach for length of stay prediction in clinical settings from medical records
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels
Parameter selection for modeling of epidemic networks
A new distance metric and its application in phylogenetic tree construction
EvoDNN - Evolving Weights, Biases, and Activation Functions in a Deep Neural Network
A Genetic-Based EM Motif-Finding Algorithm for Biological Sequence Analysis
Development of a Deep Learning Method to Predict Optimal Ablation Patterns for Atrial Fibrillation
Robust Algorithm for Finding Weak Motifs
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2004, La Jolla, CA, USA, October 7-8, 2004
The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data
Situation-based servo braking assistance for a manual wheelchair
Reconstruction and update robustness of the mammalian cell cycle network
Finding optimal finite biological sequences over finite alphabets: The OptiFin toolbox
Exploiting information content and semantics to accurately compute similarity of GO-based annotated entities
Explainable Machine Learning for Failed Labor Induction Prediction Using Nationwide Insurance Data
Identification of a gene expression core signature for Duchenne muscular dystrophy (DMD) via integrative analysis reveals novel potential compounds for treatment
Leveraging Graph Information for Spatially Informed Patient Data Analysis with GIST
Volumetric Representation of Biomolecules Using Cell Decomposition and Robotics
Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records
Side effect machine features for analysis and comparison of DNA promoter sequences
Exploring structural modeling of proteins for kernel-based enzyme discrimination
Learning to predict health status of geriatric patients from observational data
Comparison of feature selection techniques for viral DNA replication origin prediction
Ensemble validation paradigm for intelligent data analysis in autism spectrum disorders
Reverse engineering time series of gene expression data using Dynamic Bayesian networks and covariance matrix adaptation evolution strategy with explicit memory
Establishing a Cross-Population Machine Learning Model for Alzheimer's Disease Risk Prediction in the Taiwanese Population
Protein secondary structure prediction using BLAST and Relaxed Threshold Rule Induction from Coverings
Assessment of the Relationship Between Physical Behaviours, Psychological Factors, Medication Use, Body Composition and Weight Regain Following Bariatric Surgery
Let's Talk 'Bout Mutation: Evolutionary Programming for DNA Sequences
Recentering and Restarting Genetic Algorithm variations for DNA Fragment Assembly
Predicting radiation protection and toxicity of p53 targeting radioprotectors using machine learning
Causal Modeling of Gene Regulatory Network
Exploring Multi-Objective Deep Reinforcement Learning Methods for Drug Design
Fuzzy C-means for inferring functional coupling of proteins from their phylogenetic profiles
Discovery of MicroRNA markers: An SVM-based multiobjective feature selection approach
RNA Generative Modeling With Tree Search
Derivation of minimum best sample size from microarray data sets: A Monte Carlo approach
Decoding Aging: Multi-Omics Insights into Oxidative Stress, Mitochondrial Dysfunction, and Cellular Senescence in Fibroblasts
Combining genetic oscillators and switches using evolutionary algorithms
A* fast and scalable high-throughput sequencing data error correction via oligomers
Balanced Benchmarking of Zero-Shot and RAG Approaches for Biomedical Term Normalization
Predicting protein subcellular locations for Gram-negative bacteria using neural networks ensemble
Extending multi-label feature selection with KEGG pathway information for microarray data analysis
Accurate Nuclei Segmentation in Breast Cancer Tumour Biopsies
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
Determining structural parameter identifiability in biological dynamical models by analysing the statistical properties of the likelihood behaviour
Methods and strategies for construction of a phylogeny-adaptive hormone response element consensus model
Bioinformatics: Implementation of a proposed upgraded Smith-Waterman algorithm for local alignment
An Approach for Modeling and Analysis of Insulin Biosynthesis using Petri Nets
Incorporating prior expert knowledge in learning Bayesian networks from genetic epidemiological data
Inference of threshold network models of the tryptophan operon in Escherichia coli
The Image Registration of TME Biomedical Images in variant Creutzfeldt-Jakob Diseases
Automated Detection of ERP artifacts of auditory oddball paradigm by Unsupervised Machine Learning Algorithm
Estimating SIR model parameters from data using differential evolution: an application with COVID-19 data
The impact of SignalP 4.0 on the prediction of secreted proteins
Genotype Combinations Linked to Phenotype Subgroups in Autism Spectrum Disorders
Vaccinating a Population is a Programming Problem
Predicting Peptide Binders of Flexible Lengths with Genetic Annealing Algorithm
Assessing the impact of network depth on the analysis of PPI networks: A case study
A model of competitive exclusion in plants
Enhancing Clinical Decision-Making: Integrating Multi-Agent Systems with Ethical AI Governance
Predicting the specific substrate for transmembrane transport proteins using BERT language model
Artificial Neural Network Analysis of DNA Microarray-based Prostate Cancer Recurrence
A machine learning approach for detecting MAP kinase in the genome of Oryza sativa L. ssp. indica
Spectral Decomposition of Signaling Networks
SARNA-Predict-pk: Predicting RNA secondary structures including pseudoknots
Using hybrid GA-ANN to predict biological activity of HIV protease inhibitors
Illumination field estimation through background detection in optical microscopy
Improving medical search tasks using learning to rank
Using Drosophila melanogaster Data to Discover Disease-Related Protein Interactions in Humans
Helicobacter Pylori Infection Diagnosis from Endoscopic Images via Multi-Class Token based Multiple Instance Learning
Pavlov principle and brain reverse engineering
Predicting Protein-Protein Interface using Desolvation Energy Similarity Matching
Geometrical probability approach for analysis of 3D chromatin structure in interphase cell nuclei
Automated Portfolio Generation for Selection Hyper-heuristics: an Application to Protein Structure Prediction on 2D HP Model
Network motifs in context: An exploration of the evolution of oscillatory dynamics in transcriptional networks
Identification of non random motifs in loops using a structural alphabet
Improving de novo protein structure prediction using contact maps information
Machine Learning Reveals The Effect of Maternal Age on The Mouse Pre-Implantation Embryo Morphokinetics
Biological Random Walks: Integrating heterogeneous data in disease gene prioritization
Integrative Framework for Functional analysis of multiple Traditional Chinese Medicines based on transcriptome-driven systems biology and supervised learning strategy
A Theoretical Framework for AI Models Explainability with Application in Biomedicine
Efficient Probe Selection in Microarray Design
Expanded study of efn2 thermodynamic model performance on RnaPredict, an evolutionary algorithm for RNA folding
AI Deployment in Medical Devices-Ethical and Regulaltory Reflections, Beyond Data Protection and Bias - EU perspective
Cancer classification with incremental gene selection based on DNA microarray data
Protein-Protein Interaction Prediction Based on Sequence Data by Support Vector Machine with Probability Assignment
Discovering objective functions for tagging medical text concepts
Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data
O-glycosylation sites prediction using the meta-prediction approach
Data synthesis and tool development for exploring imaging genomic patterns
Searching for a single mathematical function to address the nonlinear retention time shifts problem in nanoLC-MS data: A fuzzy-evolutionary computational proteomics approach
A fitness-independent evolvability measure for evolutionary developmental systems
Information content analysis reveals desirable aspects of in vivo experiments of a synthetic circuit
Pattern recognition for brain-computer interface on disabled subjects using a wavelet transformation
Speeding up subcellular localization by extracting informative regions of protein sequences for profile alignment
A multi objective approach to evolving artificial neural networks for coronary heart disease classification
An efficient feature selection technique for gene expression data
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2024, Natal, Brazil, August 27-29, 2024
Predicting Chronic Obstructive Pulmonary Disease from EMR data
Protein structure similarity using recurrence relation technique
Accelerating protein tertiary structure analysis based on FPGA
Inference of genetic networks from time-series of gene expression levels using random forests
Genetic algorithm for dimer-led and error-restricted spaced motif discovery
System Identification and Nonlinear Factor Analysis for Discovery and Visualization of Dynamic Gene Regulatory Pathways
CombDNF: Disease-Specific drug combination predictions with network-based features on clinically validated data
A hybrid colony fuzzy system for analyzing diabetes microarray data
Analysis and Prevention of Dispension Errors by Using Data Mining Techniques
Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, Ottawa, ON, Canada, August 15-17, 2022
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2021, Melbourne, Australia, October 13-15, 2021
A deep learning model to predict traumatic brain injury severity and outcome from MR images
Neurodevelopment in newborns as quantified by synchronization in the Electroencephalogram
Non-coding RNA gene finding with combined partial covariance models
A memetic clustering algorithm for the functional partition of genes based on the gene ontology
Predicting Protein-Protein Interactions based on Biological Information using Extreme Gradient Boosting
Stress and productivity performance in the workforce modelled with binary decision automata
An application of the metric access methods to the mass spectrometry data
Minimal-redundancy-maximal-relevance feature selection using different relevance measures for omics data classification
RNA Gene Finding with Biased Mutation Operators
Multiclass protein fold recognition using multiobjective evolutionary algorithms
Issues with the PipeAlign phylogenomics toolkit in identifying protein subfamilies
Quantitative Estimate of Protein-Protein Interaction Targeting Drug-likeness
Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19
A multimodal approach to analysis of steady state visually evoked potentials
Inference of Gene Regulatory Networks from Time Course Gene Expression Data Using Neural Networks and Swarm Intelligence
Covariance Searches for ncRNA Gene Finding
Hybrid feature selection methods for online biomedical publication classification
An efficient method for fuzzy identification of regulatory events in gene expression time series data
Identifying differentially expressed transcripts associated with prostate cancer progression using RNA-Seq and machine learning techniques
Building Smart Machines by Utilizing Spiking Neural Networks; Current Perspectives
Application of machine learning approaches on quantitative structure activity relationships
A comprehensive study of databases to assess the reliability of metagenomic tools
Word embeddings for protein sequence analysis
Enhancing Model Learning and Interpretation using Multiple Molecular Graph Representations for Compound Property and Activity Prediction
Reverse engineering of gene regulation models from multi-condition experiments
Assessing Cardiac Functionality by Means of Interpretable AI and Myocardial Strain
A complexity measurement for de novo protein folding
Protein family classification using structural and sequence information
The analysis of microarray datasets using a genetic programming
Super-resolution of mammograms
ROSS: A rapid protein structure alignment algorithm
Dynamically Regulated Initialization for S-system Modelling of Genetic Networks
DGA: Decomposition with genetic algorithm for multiple sequence alignment
A model based on minimotifs for classification of stable protein-protein complexes
Towards an Automated Analysis of Neuroleptics' Impact on Human Hand Motor Skills
Computational Prediction of Replication Origins in Herpesviruses
Non-negative Matrix Tri-Factorization for Data Integration and Network-based Drug Repositioning
Frequent substructures and fold classification from protein contact maps
DDPIn - Distance and density based protein indexing
Utilizing stochastic model checking to analyze genetic circuits
Methods to transform microarray data for cancer prediction
A multi-threaded DNA tag/anti-tag library generator for multi-core platforms
Improving Protein Function Prediction Using the Hierarchical Structure of the Gene Ontology
Sorting the phenotypic heterogeneity of autism spectrum disorders: A hierarchical clustering model
Data driven point packing for fast clustering
Entanglement Mapping: A Novel Method to Detect Interacting SNPs in Genome-Wide Studies
Cancer Classification using improved Extreme Learning Machine
A Fuzzy Kohonen SOM Implementation and Clustering of Bio-active Compound Structures for Drug Discovery
Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data
Classifying synthetic and biological DNA sequences with side effect machines
A framework for the application of decision trees to the analysis of SNPs data
A multimodal multi-objective optimisation approach to deal with the phylogenetic inference problem
Knee MR image segmentation combining contextual constrained neural network and level set evolution
Finding sub-graphs from contact map overlap problem
One Moose, Two Moose, Three Fields, More?
A method for improving protein localization prediction from datasets with outliers
A Systematic Approach for Identifying Regulatory Interactions in Large Temporal Gene Expression Datasets from Peripheral Blood
Analysis of Microwave Scans of Cancer Patients for Classification of Treated and Untreated Tissue
Interpretable Prediction of Protein Stability Changes upon Mutation by Using Decision Tree
Clinical Characterization of Electromyographic Data Using Computational Tools
EL-DRP: An Evolutionary Learning-Based Multi-Omics Framework for Drug Response Prediction with Interpretable Biomarker Selection
Evolving the Curve
A parallel evolutionary algorithm for RNA secondary structure prediction using stacking-energies (INN and INN-HB)
Classification of mouse fRNA genes using evolved neural networks
Predicting time sequences in gene expression using dynamic neuro-fuzzy networks
Modular clustering of protein-protein interaction networks