yusuke1997/dblp-id-title huggingface dataset:
Lost in Transplantation: Characterizing Racial Gaps in Physician Organ Offer Acceptance
The Algorithmic Imprint
On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives
Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class
UNFair: Search Engine Manipulation, Undetectable by Amortized Inequity
Data Feminism for AI
Mapping AI ethics: a meso-scale analysis of its charters and manifestos
Emotion AI in Job Interviews: Injustice, Emotional Labor, Identity, and Privacy
Participatory Objective Design via Preference Elicitation
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness
Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment
Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments
Re-imagining Algorithmic Fairness in India and Beyond
Privacy of Groups in Dense Street Imagery
The Hard Problem of AI Alignment: Value Forks in Moral Judgment
Algorithmic Arbitrariness in Content Moderation
Beyond Open vs. Closed: Balancing Individual Privacy and Public Accountability in Data Sharing
FairTranslate: an English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity
Interactive Model Cards: A Human-Centered Approach to Model Documentation
From Papers to Programs: Courts, Corporations, Clinics and the Battle over Computerized Psychological Testing
Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Using an Ethics of Care to Promote Diverse Voices
An Outcome Test of Discrimination for Ranked Lists
In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate
Black-Box Access is Insufficient for Rigorous AI Audits
Emotions and Dynamic Assemblages: A Study of Automated Social Security Using Qualitative Longitudinal Research
Who's the Guinea Pig?: Investigating Online A/B/n Tests in-the-Wild
(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice
The four-fifths rule is not disparate impact: A woeful tale of epistemic trespassing in algorithmic fairness
Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat
Censorship of Online Encyclopedias: Implications for NLP Models
Algorithms Off-limits?: If digital trade law restricts access to source code of software then accountability will suffer
Co-Design Perspectives on Algorithm Transparency Reporting: Guidelines and Prototypes
The Brief and Wondrous Life of Open Models
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision
Capturing Humans' Mental Models of AI: An Item Response Theory Approach
Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
Invigorating Ubuntu Ethics in AI for healthcare: Enabling equitable care
Balanced Neighborhoods for Multi-sided Fairness in Recommendation
Distinguishing Emotion AI: Factors Shaping Perceptions Including Input Data, Emotion Data Recipients, and Identity
Co-Designing for Transparency: Lessons from Building a Document Organization Tool in the Criminal Justice Domain
Explain it like I'm me: User Characteristics in XAI Decision-Making
Data Collaboratives with the Use of Decentralised Learning
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems
Difficult Lessons on Social Prediction from Wisconsin Public Schools
Model Reconstruction from Model Explanations
Don't let Ricci v. DeStefano Hold You Back: A Bias-Aware Legal Solution to the Hiring Paradox
hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate pool
Explainable machine learning in deployment
Going public: the role of public participation approaches in commercial AI labs
Equi-explanation Maps: Concise and Informative Global Summary Explanations
Measuring justice in machine learning
Trans-centered moderation: Trans technology creators and centering transness in platform and community governance: Trans-centered moderation
Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking
A comparative study of fairness-enhancing interventions in machine learning
The false promise of risk assessments: epistemic reform and the limits of fairness
Neglected Risks: The Disturbing Reality of Children's Images in Datasets and the Urgent Call for Accountability
Leave-one-out Unfairness
Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation
Towards a more representative politics in the ethics of computer science
If Deceptive Patterns are the problem, are Fair Patterns the solution?
How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies
Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets
Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds
Probing ML models for fairness with the what-if tool and SHAP: hands-on tutorial
Multi-disciplinary fairness considerations in machine learning for clinical trials
How Explainability Contributes to Trust in AI
Designing Long-term Group Fair Policies in Dynamical Systems
Seeing through opacity: The limitations of digital ad transparency in Brazil
Socially Fair k-Means Clustering
FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms
An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature
Theories of "Gender" in NLP Bias Research
The Use and Misuse of Counterfactuals in Ethical Machine Learning
Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
What's sex got to do with machine learning?
Interrogating the T in FAccT
What is Proxy Discrimination?
Ethical considerations in the early detection of Alzheimer's disease using speech and AI
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts
The Profiling Potential of Computer Vision and the Challenge of Computational Empiricism
Policy 101: an introduction to public policymaking in the EU and US
The Vowel Game: Continuous Real-Time Visualization for Pronunciation Learning with Vowel Charts
Automatic Acquisition of Semantic Relationships from Morphological Relatedness
Accommodating Multiword Expressions in an Arabic LFG Grammar
Some Problems of Prepositional Phrases in Machine Translation
Passage Filtering for Open-Domain Question Answering
The Explanatory Combinatorial Dictionary as the Key Tool in Machine Translation
Discourse Segmentation of German Written Texts
Recursion in Natural Languages
Improving Term Extraction with Terminological Resources
Towards the Improvement of Statistical Translation Models Using Linguistic Features
Cat3LB and Cast3LB: From Constituents to Dependencies
Automatic Feature Extraction for Question Classification Based on Dissimilarity of Probability Distributions
Improving Phrase-Based Statistical Translation Through Combination of Word Alignments
Paraphrase Identification on the Basis of Supervised Machine Learning Techniques
Extracting Term Collocations for Directing Users to Informative Web Pages
Local Constraints on Arabic Word Order
Selection Strategies for Multi-label Text Categorization
A Straightforward Method for Automatic Identification of Marginalized Languages
Regular Approximation of Link Grammar
Feasibility of Enriching a Chinese Synonym Dictionary with a Synchronous Chinese Corpus
Improving Thai Spelling Recognition with Tone Features
Identifying Text Discourse Structure of the Narratives Describing Psychiatric Patients' Defense Mechanisms
Deep vs. Shallow Semantic Analysis Applied to Textual Entailment Recognition
A Text Mining Approach for Definition Question Answering
Computer Analysis of the Turkmen Language Morphology
The Classificatim Sense-Mining System
Two String-Based Finite-State Models of the Semantics of Calendar Expressions
Statistical Machine Translation of German Compound Words
Language Independent Answer Prediction from the Web
Is a Morphologically Complex Language Really that Complex in Full-Text Retrieval?
Incorporating External Information in Bayesian Classifiers Via Linear Feature Transformations
A Bilingual Corpus of Novels Aligned at Paragraph Level
Implementing a Rule-Based Speech Synthesizer on a Mobile Platform
Compiling Generalized Two-Level Rules and Grammars
Using Alignment Templates to Infer Shallow-Transfer Machine Translation Rules
Segmental Duration in Utterance-Initial Environment: Evidence from Finnish Speech Corpora
Classification of News Web Documents Based on Structural Features
A Korean Syntactic Parser Customized for Korean-English Patent MT System
Tagging a Morphologically Complex Language Using Heuristics
On the Use of Topic Models for Word Completion
Treating Unknown Light Verb Construction in Korean-to-English Patent MT
A Corpus-Based Empirical Account of Adverbial Clauses Across Speech and Writing in Contemporary British English
Finding Spanish Syllabification Rules with Decision Trees
Analysis of EU Languages Through Text Compression
The Role of Verb Sense Disambiguation in Semantic Role Labeling
A Computational Implementation of Internally Headed Relative Clause Constructions
Towards a Framework for Evaluating Syntactic Parsers
Maximum Likelihood Alignment of Translation Equivalents
Improving Statistical Word Alignments with Morpho-syntactic Transformations
Measuring Intelligibility of Japanese Learner English
Experiments in Passage Selection and Answer Identification for Question Answering
Ord i Dag: Mining Norwegian Daily Newswire
Cue-Based Interpretation of Customer's Requests: Analysis of Estonian Dialogue Corpus
Supervised TextRank
Enriching Thesauri with Hierarchical Relationships by Pattern Matching in Dictionaries
Language Model Mixtures for Contextual Ad Placement in Personal Blogs
MEDITE: A Unilingual Textual Aligner
Advances in Natural Language Processing, 5th International Conference on NLP, FinTAL 2006, Turku, Finland, August 23-25, 2006, Proceedings
Morphological Lexicon Extraction from Raw Text Data
Persian in MULTEXT-East Framework
Speech Confusion Index (Ø): A Recognition Rate Indicator for Dysarthric Speakers
A Finite-State Approximation of Optimality Theory: The Case of Finnish Prosody
Document Clustering Based on Maximal Frequent Sequences
Extracting Idiomatic Hungarian Verb Frames
Text Segmentation Criteria for Statistical Machine Translation
Coordination Structures in a Typed Feature Structure Grammar: Formalization and Implementation
Cognition and Physio-acoustic Correlates - Audio and Audio-visual Effects of a Short English Emotional Statement: On JL2, FL2 and EL1
Trees as Contexts in Formal Language Generation
Applying Latent Dirichlet Allocation to Automatic Essay Grading
Evaluation of Alignment Methods for HTML Parallel Text
Terminology Structuring Through the Derivational Morphology
Prerequisites for a Comprehensive Dictionary of Serbian Compounds
A Scalable and Distributed NLP Architecture for Web Document Annotation
Czech-English Phrase-Based Machine Translation
Summarizing Documents in Context: Modeling the User's Information Need
Dictionary-Free Morphological Classifier of Russian Nouns
Hierarchical Program Representation for Program Element Matching
Determining the Semantic Orientation of Web-Based Corpora
Leveraging Sentiment Analysis for Improved Financial Distress Forecasting in Vietnamese-Listed Firms
A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines
Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences
Scalable Dictionary Classifiers for Time Series Classification
A New Distributed Algorithm for Large Data Clustering
Explanations of Performance Differences in Segment Lining for Tunnel Boring Machines
Data Abstractions for Numerical Attributes in Data Mining
Intelligent Control of Micro Heat Exchanger with Locally Linear Identifier and Emotional Based Controller
Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology
An Enhanced Security Model for Mobile Agent System
Velocity Divergence of CCPSO in Large Scale Global Optimization
Combining Feature Selection with Feature Weighting for k-NN Classifier
The Knowledge-Base of a B2B E-commerce Multi-agent System
An Efficient Sparse Optimization Method for Unfinished Magic Squares
Video Semantics Quality Assessment Using Deep Learning
Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings
Intelligent Predictive Control of a 6-Dof Robotic Manipulator with Reliability Based Performance Improvement
Automatic Validation of Flowmeter Data in Transport Water Networks: Application to the ATLLc Water Network
A Dynamic Migration Model for Self-adaptive Genetic Algorithms
Using Rough Set to Find the Factors That Negate the Typical Dependency of a Decision Attribute on Some Condition Attributes
Distributed Multimedia Information System for Traffic Monitoring and Managing
Multi-agent Fuzzy Logic Resource Manager
Two Further Gradient BYY Learning Rules for Gaussian Mixture with Automated Model Selection
Meaningful Data Sampling for a Faithful Local Explanation Method
One-Class Models for Continuous Authentication Based on Keystroke Dynamics
Improving Feature Extraction Performance of Greedy Network-Growing Algorithm
Chaotic Brain Storm Optimization Algorithm
An Extended Multivariate Data Visualization Approach for Interactive Feature Extraction from Manufacturing Data
Using Neural Networks to Detect Microfossil Teeth in Somosaguas Sur Paleontological Site
Graphical Features Selection Method
A Method of Motion Segmentation Based on Region Shrinking
Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering
Guaranteed Network Traffic Demand Prediction Using FARIMA Models
Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples
Spam Classification Using Nearest Neighbour Techniques
EduBot: A Proof-of-Concept for a High School Motivational Agent
A Framework for Mining Association Rules in Data Warehouses
MR-Swarm: Mining Swarms from Big Spatio-Temporal Trajectories Using MapReduce
Dissecting Data Practices in Android Apps: A Comparative Study of Data Collection and Sharing Behaviors
Personalized Document Summarization Using Non-negative Semantic Feature and Non-negative Semantic Variable
Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings
A Machine Learning Approach to Predict Cyclists' Functional Threshold Power
EquiNet: Fair and Robust Blood Pressure Estimation
Optimization of the Numeric and Categorical Attribute Weights in KAMILA Mixed Data Clustering Algorithm
An Aspect-Oriented Domain-Specific Language for Modeling Multi-Agent Systems in Social Simulations
Tabu-Search Algorithm for Optimization of Elastic Optical Network Based Distributed Computing Systems
Engineering Spatial Analysis in Real Estate Applications
Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources
Higher-Order Hidden Markov Models with Applications to DNA Sequences
Application of Long Short-Term Memory Neural Networks for Electric Arc Furnace Modelling
Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Categorization of Wikipedia Articles with Spectral Clustering
On the Power of Topological Kernel in Microarray-Based Detection of Cancer
OMAIDS: A Multi-agents Intrusion Detection System Based Ontology
Counterfactual Explanations for Sustainable Tourism Indicators
Computing Platforms for Large-Scale Multi-Agent Simulations: The Niche for Heterogeneous Systems
Evolution at Learning: How to Promote Generalization?
A Vision Transformer Enhanced with Patch Encoding for Malware Classification
Combining Rules for Text Categorization Using Dempster's Rule of Combination
Reducing Experimentation Training Overhead in Time Series Forecasting through LLM Adaptation
Detecting Communities in Feature-Rich Networks with a K-Means Method
Cross Checking Rules to Improve Consistency between UML Static Diagram and Dynamic Diagram
A Hybrid Evolutionary Algorithm to Quadratic Three-Dimensional Assignment Problem with Local Search for Many-Core Graphics Processors
A Computational Framework for Emotion-Sensitive Behavioral Metrics Using a Gamified Task
Low Consumption Models for Disease Diagnosis in Isolated Farms
Evolving Feed-forward Neural Networks Through Evolutionary Mutation Parameters
Toward an Agent-Based Computational Modeling of Bargaining Strategies in Double Auction Markets with Genetic Programming
Automated Personalisation of Internet Users Using Self-Organising Maps
On Domain Independence of Author Identification
Multiple Ant Colony Optimization for Load Balancing
Generating Predicate Rules from Neural Networks
Overhead-Controlled Routing in WSNs with Reinforcement Learning
Successive Ray Refinement and Its Application to Coordinate Descent for Lasso
Biased Language Detection in Court Decisions
From Alternative Clustering to Robust Clustering and Its Application to Gene Expression Data
Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion
Quantitative Estimation of Reputation Risk
Using LLM Agents for Data Integration in Cybersecurity Incidents
Combining Multiple k-Nearest Neighbor Classifiers Using Different Distance Functions
Propagating Disaster Warnings on Social and Digital Media
Towards Reliable Drift Detection and Explanation in Text Data
Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image
Root Attribute Behavior within a Random Forest
A New Segmentation Approach in Structured Self-Organizing Maps for Image Retrieval
Interval-Valued Fuzzy Observations in Bayes Classifier
Fuzzy-Neural Inference in Decision Trees
Mitigating Class Imbalance in Multiclass Educational Data: A Hybrid One-vs-One and Density-Based Resampling Approach
Synthetic Environment Representational Semantics Using the Web Ontology Language
Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine
Feature Locations in Images
Hospital Admission and Risk Assessment Associated to Exposure of Fungal Bioaerosols at a Municipal Landfill Using Statistical Models
Deadline-Aware Event Scheduling for Complex Event Processing Systems
Single-Class Bankruptcy Prediction Based on the Data from Annual Reports
A Novel Self Suppression Operator Used in TMA
Classifying Ransomware Using Machine Learning Algorithms
Packet Filtering Using a Decision Tree Classifier
Nonnegative Matrix Factorization (NMF) Based Supervised Feature Selection and Adaptation
Cardinality Constrained Portfolio Optimisation
Taking Advantage of Class-Specific Feature Selection
Sentiment Proxies: Computing Market Volatility
Temporal Difference Coding in Reinforcement Learning
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants
Self-tuning Based Fuzzy PID Controllers: Application to Control of Nonlinear HVAC Systems
k-Means - A Generalized k-Means Clustering Algorithm with Unknown Cluster Number
Dynamic Construction of Category Hierarchy Using Fuzzy Relational Products
ICA and Genetic Algorithms for Blind Signal and Image Deconvolution and Deblurring
Sparse GAIN: Imputation Methods to Handle Missing Values with Sparse Initialization
Intelligent Call Routing for Telecommunications Call-Centers
A New Algorithm to Select Learning Examples from Learning Data
An Empirical Study of the Impact of Field Features in Learning-to-rank Method
Distribution Feeder Load Balancing Using Support Vector Machines
Simplifying SVM with Weighted LVQ Algorithm
Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification
An Efficient Mining Method for Incremental Updation in Large Databases
Guide-Guard: Off-Target Predicting in CRISPR Applications
An Effective Genetic Algorithm with Uniform Crossover for Bi-objective Unconstrained Binary Quadratic Programming Problem
A Multi-agent Based Context Aware Self-healing System
Classification of Pharmaceutical Solid Excipients Using Self-Organizing Maps
Extraction of Dynamic User Behaviors from Web Logs
CBR Model for the Intelligent Management of Customer Support Centers
A Multi-agent System Approach to Power System Topology Verification
Study of the Regularity of the Users' Internet Accesses
Anomaly Monitoring Framework Based on Intelligent Data Analysis
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification
Improving Speech Emotion Recognition: Novel Aggregation Strategies for Self-supervised Features
Lempel-Ziv Coding in Reinforcement Learning
A Slimmer and Deeper Approach to Network Structures for Image Denoising and Dehazing
Image Super Resolution via Visual Prior Based Digital Image Characteristics
RSGALS-SVM: Random Subspace Method Applied to a LS-SVM Ensemble Optimized by Genetic Algorithm
Enhancing State Space Search for Planning by Monte-Carlo Random Walk Exploration
Evolutionary Optimization of Union-Based Rule-Antecedent Fuzzy Neural Networks and Its Applications
Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning
Convolutional Neural Networks for Unsupervised Anomaly Detection in Text Data
Mining Association Rules Using Relative Confidence
Ontology-Based Web Navigation Assistant
Different Approaches of Data and Attribute Selection on Headache Disorder
Data Clustering Using Hybrid Particle Swarm Optimization
Identification of Sedimentary Strata by Segmentation Neural Networks of Oblique Photogrammetry of UAVs
A New Hand Posture Recognizer Based on Hybrid Wavelet Network Including a Fuzzy Decision Support System
Parallel k-Most Similar Neighbor Classifier for Mixed Data
Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism
Data Generation Using Gene Expression Generator
Cluster Analysis of High-Dimensional Data: A Case Study
MOVICAB-IDS: Visual Analysis of Network Traffic Data Streams for Intrusion Detection
Patterns in Complex Systems Modeling
A New Approach for Selecting Attributes Based on Rough Set Theory
A Supervised Clustering Approach to Detect Similar Soccer Players
Spectral Clustering Algorithm Based on Local Sparse Representation
A Simplified Algorithm Based on IF Model
Wrapping the Naive Bayes Classifier to Relax the Effect of Dependences
Fast and Scalable Recommendation Retrieval Model with Mixed Attention and Knowledge Distillation
Unified Performance Measure for Binary Classification Problems
Personalized News Reading via Hybrid Learning
Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy
Workshop on Machine Learning in Smart Mobility
An Information Model for a Merchant Trust Agent in Electronic Commerce
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Reduction of Signal Strength Data for Fingerprinting-Based Indoor Positioning
Object Recognition Based on Dynamic Random Forests and SURF Descriptor
Persistent DOM: An Architecture for XML Repositories in Relational Databases
Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers
Application of Topology Preserving Ensembles for Sensory Assessment in the Food Industry