yusuke1997/dblp-id-title huggingface dataset:
www.terminologieforum.de - The Internet Discussion Platform for Terminological Subjects
Ein topikbasiertes Retrievalsystem in Hypertext
Kohyponymie in elektronischen Wörterbüchern
An ontology of linguistic annotations
The Automatic Translation of Film Subtitles. A Machine Translation Success Story?
Statistische und dynamische Aspekte einer Textgrammatik
Indikatoren der Kompetenz im sprachlichen Ausdruck. Ein Beitrag zur Partnermodellierung in natürlichsprachlichen Systemen
Die Konstanzer LFG-Umgebung
Machine Translation: Theory, Applications, and Evaluation. An Assessment of the State-of-the-art (Buchvorstellung)
Towards Interactive Multidimensional Visualisations for Corpus Linguistics
Nachweis von kategorialer Identifikation durch adäquate Reproduktion von natürlichsprachlichen Signalen in phonetischen Hörtests
Morphological and Part-of-Speech Tagging of Historical Language Data: A Comparison
MÜ-Lexikografie
Variability in Dutch Tweets. An estimate of the proportion of deviant word tokens
Referenzstrukturen. Zur Quantifizierung der Koinzidenz semantischer Einheiten in Texten
Optimierung des Stuttgart-Tübingen-Tagset für die linguistische Annotation von Korpora zur internetbasierten Kommunikation: Phänomene, Herausforderungen, Erweiterungsvorschläge
Variablen multilingualer Kommunikation an der Benutzerschnittstelle
Natürlichsprachliche Interaktion - sinnvoll, machbar, herausfordernd
Chatbots in der praktischen Fachlexikographie / Terminologie
Digitale Korpora in der Lehre - Anwendungsbeispiele aus der Theoretischen Linguistik und der Computerlinguistik
Local Coherence Analysis in a Multi-Level Approach to Automatic Text Analysis
Tagungsbesuch in Russland
Die 'Übertragungsmetapher': der Sprach- und Kommunikationsbegriff der CL, seine Wurzeln und Auswirkungen
Subjectivity Lexicon for Czech: Implementation and Improvements
Zweimal zwei Ontologien für die Semantik?
On Semantic Spaces
Query von Multiebenenannotierten XML-Dokumenten mit Prolog
Hangul, the Korean Writing System, and its Computational Treatment
Analysis of E-Discussions Using Classifier Induced Semantic Spaces
A Hybrid Model for Chinese Word Segmentation
Quantitative Verfahren zur Zuordnung von Präpositionalphrasen
Ontology Learning from Text: A Survey of Methods
METIS-II: Low-Resource MT for German to English
From Old Texts to Modern Spellings: An Experiment in Automatic Normalisation
Sprachressourcen in der Lehre ? Erfahrungen, Einsatzszenarien, Nutzerwünsche
LexiRes RDF/OWL Editor: Maintaining Multilingual Resources
Computerlinguistik am Institut für Kommunikationsforschung und Phonetik (IKP) der Universität Bonn
Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning
The Coordinator's Final Report on the first Morpholympics
Krill: KorAP search and analysis engine
Eine grammatikbasiete Integration von Hypertext und wissensbasierten Systemen
Computerlinguistik und Informatik. Selbstverständnis einer Disziplin
Building Linguistic Corpora from Wikipedia Articles and Discussions
Building a corpus of Italian Web forums: standard encoding issues and linguistic features
Deutscher Wortschatz im Internet
Lexicon Exchange in MT - The Long Way to Standardization
Korrektur - Rezensionen von Feldweg/Hinrichs: Lexikon und Text sowie Hoetker/Ludewig: Lexikonimport, Lexikonexport
Using Latent-Semantic Analysis and Network Analysis for Monitoring Conceptual Development
Computerlinguistische Analyse mehrsprachiger Fachtexte (Buchvorstellung)
Who Can See the Forest for the Trees? Extracting Multiword Negative Polarity Items from Dependency-Parsed Text
A prototype for projecting HPSG syntactic lexica towards LMF
Multimodale bilinguale Korpora gesprochener Sprache: Korpuserstellung, -analyse und -dissemination in der TASX-Umgebung
Translation-Memory-Module automatische Ürbersetzungssysteme
Digitalisierung historischer Glossare zur automatisierten Vorannotation von Textkorpora am Beispiel des Altdeutschen
Ontology-Based Lexicon of Bulgarian
Translator's Workbench: Funktionalität - Entwicklungen - Kundenanforderungen
Computerlinguistische Probleme bei der Bearbeitung grosser Textmengen
HiTS: ein Tagset für historische Sprachstufen des Deutschen
Wörterbücher in sprachverarbeitenden Systemen, speziell maschineller Übersetzung
Multilingual Aspects of Monolingual Corpora
ManageLex - a Tool for the Management of Complex Lexical Structures
Parameter der Sprachanalysee im Zeitbereich - ein Schritt in Richtung Transkriptionsmaschine?
Challenges and experiences in collecting a chat corpus
Tagungsbericht zum 1. SHOE-Workshop
Wozu Kasusrektion auszeichnen bei Präpositionen?
Manuelle Abgleichung bei automatisierter Vorannotation: Das Tagging grammatischer Kategorien im Referenzkorpus Altdeutsch
STTS als Part-of-Speech-Tagset in Tübinger Baumbanken
Strukturelle Mehrdeutigkeit in frühneuhochdeutschen Texten
TITUS. Das Projekt eines indogermanishcen Thesaurus
WISBER. Wissensbasierter Beratungskatalog
Serengeti - Webbasierte Annotation semantischer Relationen
Merging and validating heterogenous, multi-layered corpora with <tt>discoursegraphs</tt>
Jahrestagung 1993 der GLDV in Kiel. Sprachtechnologie: Methoden, Werkzeuge, Perspektiven. 3.3.-5.3.1993
Using TraSMAPI for the assessment of multi-agent traffic management solutions
The effect of human thought on data: an analysis of self-reported data in supervised learning and neural networks
A synthetic data generation system based on the variational-autoencoder technique and the linked data paradigm
Ranking-based MCDM models in financial management applications: analysis and emerging challenges
AFRYCA 2.0: an improved analysis framework for consensus reaching processes
Analysis and forecasting of rivers pH level using deep learning
Optimizing novelty and diversity in recommendations
An integrated clustering algorithm based on firefly algorithm and self-organized neural network
"I can tell you what it's not": active learning from counterexamples
Random extreme learning machines to predict electric load in buildings
Convolutional neural network: a review of models, methodologies and applications to object detection
Scatter search for the bi-criteria p-median p-dispersion problem
Unbalanced interval-valued OWA operators
Vine copula classifiers for the mind reading problem
Binary relevance efficacy for multilabel classification
Gabriel graph-based connectivity and density for internal validity of clustering
An esteemed maximum utility pattern mining: special children assessment analysis
Advanced deep learning and large language models for suicide ideation detection on social media
A charged system search approach for data clustering
predtoolsTS: R package for streamlining time series forecasting
Polarity-aware deep attention network for aspect-based sentiment analysis
Crossover-first differential evolution for improved global optimization in non-uniform search landscapes
Integrating fitness predator optimizer with multi-objective PSO for dynamic partitional clustering
Fuzzy sets across the natural language generation pipeline
An agent-based social forces model for driver evacuation behaviours
Review-aggregated aspect-based sentiment analysis with ontology features
On the performance of empirical mode decomposition-based replay spoofing detection in speaker verification systems
Development of a clinical decision support system for antibiotic management in a hospital environment
The Parameter-less Randomized Gravitational Clustering algorithm with online clusters' structure characterization
Using simheuristics to promote horizontal collaboration in stochastic city logistics
A survey on emotion-cause extraction in psychological text using deep learning methods
Erratum to: GRASP for sequencing mixed models in an assembly line with work overload, useless time and production regularity
Constructing fading histograms from data streams
One iteration CHC algorithm for learning Bayesian networks: an effective and efficient algorithm for high dimensional problems
Exploratory apprenticeship in the digital age with AI tools
GRASP for sequencing mixed models in an assembly line with work overload, useless time and production regularity
AutoTag: a framework for generating training data
Sentiment analysis of comments of wooden furniture based on naive Bayesian model
A novel extension of SVM model with piecewise linear penalty function
Deep multiple instance learning for automatic glaucoma prevention and auto-annotation using color fundus photography
Applying named entity recognition and co-reference resolution for segmenting English texts
A novel DPReDE model for optimizing demand-side power management in smart home
Brain tumor segmentation via C-dense convolutional neural network
Optimal gas subset selection for dissolved gas analysis in power transformers
A green fuzzy multi-objective approach to the RNP problem for LTE networks
SocialLink: exploiting graph embeddings to link DBpedia entities to Twitter profiles
Transportation problem with interval-valued intuitionistic fuzzy sets: impact of a new ranking
Data-driven parametric adaption in type-2 fuzzy logic for significant pattern discovery using massive heterogeneous data in cognitive IoT
Fixed versus variable time window warehousing strategies in real time
Applying multi-label and multi-class classification to enhance K-anonymity in sequential releases
Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain
Human emotion recognition for enhanced performance evaluation in e-learning
Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency
Two methods for reliable classification of network traffic
Fisherman search procedure
Baddeley's Delta metric for local contrast computation in hyperspectral imagery
Towards 40 years of constraint reasoning
Exploring the association between mobility behaviours and academic performances of students: a context-aware traj-graph (CTG) analysis
Inference and reasoning in a Bayesian knowledge-intensive CBR system
Learning from imbalanced data: open challenges and future directions
Fault diagnosis under uncertain situations within a Bayesian knowledge-intensive CBR system
MAP inference in dynamic hybrid Bayesian networks
Natural language query formalization to SPARQL for querying knowledge bases using Rasa
Unbalanced linguistic approach for venture investment evaluation with risk attitudes
Large-width machine learning algorithm
Pattern mining: current status and emerging topics
Text categorization based on a new classification by thresholds
An agent-based computational approach for urban traffic regulation
Contrasting logical sequences in multi-relational learning
Moving towards a new paradigm of creation, dissemination, and application of computer-interpretable medical knowledge
SwinE-UNet3+: swin transformer encoder network for medical image segmentation
An adapted incremental graded multi-label classification model for recommendation systems
An institutional student project report retrieval system using deep neural network-based domain classification technique
Semantic role labeling for knowledge graph extraction from text
A new visualization tool for data mining techniques
ECG beat classification using neural classifier based on deep autoencoder and decomposition techniques
Attention-enriched deeper UNet (ADU-NET) for disease diagnosis in breast ultrasound and retina fundus images
A comparative study of the evolutionary many-objective algorithms
A review of different cost-based distributed query optimizers
Information Theoretic Learning and local modeling for binary and multiclass classification
Improving the genetic bee colony optimization algorithm for efficient gene selection in microarray data
Multi-class nonparallel support vector machine
Improving node classification method using GCN and fused multi-classifiers
Short text keyphrase extraction with hypergraphs
To recurse or not to recurse: a low-dose CT study
Evolutionary intelligence in asphalt pavement modeling and quality-of-information
Selective ensemble of doubly weighted fuzzy extreme learning machine for tumor classification
Reinforcement learning aided parameter control in multi-objective evolutionary algorithm based on decomposition
Testing the Gauss linear assumption for on-line predictions
Valid predictions with confidence estimation in an air pollution problem
Co-utility - Self-enforcing collaborative protocols with mutual help
Can artificial intelligence benefit from quantum computing?
SVGPM: evolving SVM decision function by using genetic programming to solve imbalanced classification problem
DxPCs: a toolbox for model-based diagnosis of dynamic systems using possible conflicts
Predicting human behavior in size-variant repeated games through deep convolutional neural networks
Improvement of subgroup descriptions in noisy data by detecting exceptions
Relational regression: a cognitively-inspired method for prediction system in cognitive IoT
Explainable machine learning models with privacy
The quest for the optimal class distribution: an approach for enhancing the effectiveness of learning via resampling methods for imbalanced data sets
Forecasting of BTC volatility: comparative study between parametric and nonparametric models
An unsupervised keyphrase extraction model by incorporating structural and semantic information
Classifying multiclass imbalanced data using generalized class-specific extreme learning machine
Handling swarm of UAVs based on evolutionary multi-objective optimization
A K 2 graph-based fusion model with manifold ranking for robot image saliency detection
RADDACL2: a recursive approach to discovering density clusters
Conformal predictors
Data clustering using hidden variables in hybrid Bayesian networks
Existence versus exploitation: the opacity of backdoors and backbones
Improving graph prototypical network using active learning
Split incremental clustering algorithm of mixed data stream
Exploiting spatio-temporal patterns using partial-state reinforcement learning in a synthetically augmented environment
Accuracy-diversity based pruning of classifier ensembles
Label prediction on issue tracking systems using text mining
Heart: a novel optimization algorithm for cluster analysis
A case study at the Nissan Barcelona factory to minimize the ergonomic risk and its standard deviation in a mixed-model assembly line
Improving performance of convolutional neural networks using adaptive morlet wavelet filters
An ensemble of self-supervised teachers for minimal student model with auto-tuned hyperparameters via improved Bayesian optimization
Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark
User-centered fall detection using supervised, on-line learning and transfer learning
A hybrid machine learning approach for early mortality prediction of ICU patients
Double multiagent architecture for dynamic triage of victims in emergency scenarios
Data mining for software engineering and humans in the loop
Fuzzy shape grammars
Improved image registration in skull-face overlay using expert knowledge
Special issue: Multi-Agent Systems applications in transport
Deep limitations? Examining expert disagreement over deep learning
The space of models in machine learning: using Markov chains to model transitions
How internal neurons represent the short context: an emergent perspective
A multi-agent-based algorithm for data clustering
Improving link prediction in social networks using local and global features: a clustering-based approach
Comparison among multi-criteria decision analysis techniques: a novel method
GDTM: Graph-based Dynamic Topic Models
An improved pathfinder algorithm (ASDR-PFA) based on adaptation of search dimensional ratio for solving global optimization problems and optimal feature selection
Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space
Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation
Self-supervised approach for diabetic retinopathy severity detection using vision transformer
The role of large language models in agriculture: harvesting the future with LLM intelligence
When robots contribute to eradicate the COVID-19 spread in a context of containment
Dynamical memetization in coral reef optimization algorithms for optimal time series approximation
An automatic methodology for construction of multi-classifier systems based on the combination of selection and fusion
Incremental contingency planning for recovering from critical outcomes in high-probability seed plans
Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections
A GRASP algorithm for Quota sequences with minimum work overload and forced interruption of operations in a mixed-product assembly line
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis
Secured and efficient MLP algorithm based on Sand Cat Swarm Optimization and homomorphic encryption for healthcare data
Analysis of the teaching quality using novel deep learning-based intelligent classroom teaching framework
An improved structure of genetic algorithms for global optimisation
An ensemble-based approach for multi-view multi-label classification
OCAPIS: R package for Ordinal Classification and Preprocessing in Scala
MR-DIS: democratic instance selection for big data by MapReduce
Random feature weights for regression trees
Coaching: accelerating reinforcement learning through human-assisted approach
Algorithm of adaptation of electronic document management system based on machine learning technology
Query expansion based on clustering and personalized information retrieval
Analysis of beamforming for improving the energy efficiency in wireless sensor networks with metaheuristics
A chaotic salp swarm algorithm based on quadratic integrate and fire neural model for function optimization
Current prospects on ordinal and monotonic classification
Utilizing external corpora through kernel function: application in biomedical named entity recognition
A social development algorithm for neural architecture search
Learning from streaming data with concept drift and imbalance: an overview
The potential of Large Language Models for social robots in special education
Free and regular mixed-model sequences by a linear program-assisted hybrid algorithm GRASP-LP
A hyper-realistic virtual environment for robots training
Early anticipation of driver's maneuver in semiautonomous vehicles using deep learning
Evolutionary algorithms for large-scale global optimisation: a snapshot, trends and challenges
A genetic algorithm approach to customizing a glucose model based on usual therapeutic parameters
WordificationMI: multi-relational data mining through multiple-instance propositionalization
Bearing fault diagnosis using multiple feature selection algorithms with SVM
SLANGZY: a fuzzy logic-based algorithm for English slang meaning selection
A novel artificial bee colony optimization strategy-based extreme learning machine algorithm
Convergence of batch gradient algorithm with smoothing composition of group l 0 and l 1/2 regularization for feedforward neural networks
A refined method of forecasting based on high-order intuitionistic fuzzy time series data
Towards automatic phytolith classification using feature extraction and combination strategies
Unsupervised change detection in data streams: an application in music analysis
Supervision system of english online teaching based on machine learning
A framework for evaluation in learning from label proportions
Metaverse in marketing research: an overview and future research directions
Advanced visualization of Twitter data for its analysis as a communication channel in traditional companies
Online and offline teaching connection system of college ideological and political education based on deep learning
Application of local rules and cellular automata in representing protein translation and enhancing protein folding approximation
Continuous Bayesian networks for the estimation of species richness
Semi-causal decision trees
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification
DeepHaul: a deep learning and reinforcement learning-based smart automation framework for dump trucks
Detection and recognition of concrete cracks on building surface based on machine vision
Implementation of a Modified U-Net Architecture for Hard Exudate Semantic Segmentation using Fundus Images
Experimental analysis of machine learning methods for credit score classification
A common framework for learning causality
Application of ensemble classifiers in accurate diagnosis of myocardial ischemia conditions
Emerging topics in mining software repositories - Machine learning in software repositories and datasets
Multi-parametric and priority driven particle swarm (MPPPSO) optimized task scheduling approach for improving performance of fog computing system
Attention and self-attention in random forests
Comparing two multinomial samples using hierarchical Bayesian models
Emerging technologies in artificial intelligence: quantum rule-based systems
A learning system based on lazy metareasoning
BwMMV-pred: a novel ensemble learning approach using blood smear images for malaria prediction
Automatic question generation: a review of methodologies, datasets, evaluation metrics, and applications
Optimizing text classification accuracy: a hybrid strategy incorporating enhanced NSGA-II and XGBoost techniques for feature selection
Management of internal delivery vehicles in maritime container terminals
Impact of time series discretization on intensive care burn unit survival classification
Following event detection method based on human skeleton motion analysis by Kinect sensor
A survey on learning from data streams: current and future trends
Emergent face orientation recognition with internal neurons of the developmental network
WSCISOM: wireless sensor data cluster identification through a hybrid SOM/MLP/RBF architecture
Deep learning-based kinship verification: a comprehensive survey
Chaotic artificial hummingbird algorithm applied to elementary machine design problems
DMRAE: discriminative manifold regularized auto-encoder for sparse and robust feature learning
Learning similarity measures from data
Towards a model for urban mobility social simulation
An integrated localization and proactive disease forecasting system for cattle farming environments in wireless sensor networks
A new approach for the vanishing gradient problem on sigmoid activation
A multi-objective interactive dynamic particle swarm optimizer
A deep learning model for innovative evaluation of ideological and political learning
Forward stagewise naïve Bayes
Enhancing text classification with BERT-based graph representations using novel contextual metrics
Path planning of a mobile robot in a free-space environment using Q-learning
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations
A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems
Integration of fuzzy theory and particle swarm optimization for high-resolution satellite scene recognition
Improving transparency of deep neural inference process
Scaling up data mining algorithms: review and taxonomy
A novel hybrid image segmentation method
Exploring multi-relational temporal databases with a propositional sequence miner
Hybrid-EPC: an Emperor Penguins Colony algorithm with crossover and mutation operators and its application in community detection
Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market
Clustering: an R library to facilitate the analysis and comparison of cluster algorithms
Fast and robust online-learning facial expression recognition and innate novelty detection capability of extreme learning algorithms
A review on the coral reefs optimization algorithm: new development lines and current applications
Entropy guided evolutionary search for solving Sudoku
Automatically incorporating context meaning for query expansion using graph connectivity measures