yusuke1997/dblp-id-title huggingface dataset:
Bernstein polynomial-based transcription method for solving optimal trajectory generation problems
TMR-RD: Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection
Firewall Regulatory Networks for Autonomous Cyber Defense
Quantitative Function and Algorithm for Community Detection in Bipartite Networks
The LC Method: A parallelizable numerical method for approximating the roots of single-variable polynomials
Modeling Dynamical Influence in Human Interaction Patterns
Companion Surface of Danger Cylinder and its Role in Solution Variation of P3P Problem
Dynamic Control of Explore/Exploit Trade-Off In Bayesian Optimization
Exploiting Social Trust Assisted Reciprocity (STAR) towards Utility-Optimal Socially-aware Crowdsensing
Social Media Networks Attacks and their Preventive Mechanisms: A Review
Cybernetic Governance in a Coliving House
Uniform accuracy of implicit-explicit Runge-Kutta methods for linear hyperbolic relaxation systems
Community-Based Security for the Internet of Things
Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction
Wilf classes of non-symmetric operads
Asymptotic Behaviour and Ratios of Complexity in Cellular Automata
Estimating Network Link Characteristics using Packet-Pair Dispersion: A Discrete Time Queueing Theoretic View
Inhomogeneous graph trend filtering via a l2, 0 cardinality penalty
The global consensus on the risk management of autonomous driving
Digital Twin in Practice: Emergent Insights from an ethnographic-action research study
Hierarchical decomposition of LTL synthesis problem for mixed-monotone control systems
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
Ethical conundrums: Hacked data in the study of far-right violent extremism
Towards a continuous modeling of natural language domains
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
Ground state entanglement entropy for discrete-time two coupled harmonic oscillators
A Catalog of Micro Frontends Anti-patterns
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
Algorithmic Discrepancy Minimization
GRID: Graph-based Reasoning for Intervention and Discovery in Built Environments
Nonparametric Bayesian Estimation of Periodic Functions
XPUTimer: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Intrinsic Harmonization for Illumination-Aware Compositing
Specifying Autonomy in the Internet of Things: The Autonomy Model and Notation
The Normal Play of the Domination Game
Information Sifting Funnel: Privacy-preserving Collaborative Inference Against Model Inversion Attacks
Exploring Social Ties for Enhanced Device-to-Device Communications in Wireless Networks
A Light CNN for detecting COVID-19 from CT scans of the chest
On Decision-Making Agents and Higher-Order Causal Processes
Bridging the gap between Human Action Recognition and Online Action Detection
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
The Future of Pedestrian Automated Vehicle Interactions
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
Efficient Cooperation Strategy Generation in Multi-Agent Video Games via Hypergraph Neural Network
Contra generative AI detection in higher education assessments
Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection?
Deterministic Fault-Tolerant Connectivity Labeling Scheme with Adaptive Query Processing Time
FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural Networks
Extending the Range of Drone-based Delivery Services by Exploration
Combination of interval-valued belief structures based on belief entropy
OmniNeRF: Hybriding Omnidirectional Distance and Radiance fields for Neural Surface Reconstruction
Generative chemistry: drug discovery with deep learning generative models
Non-negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics
Asymptotically constant-free and polynomial-degree-robust a posteriori estimates for space discretizations of the wave equation
Towards the classification of Self-Sovereign Identity properties
Rethinking Link Prediction for Directed Graphs
Multi-Modal Hybrid Learning and Sequential Training for RGB-T Saliency Detection
A Dynamic Programming Algorithm for the Segmentation of Greek Texts
Mission Apollo: Landing Optical Circuit Switching at Datacenter Scale
How well do LLMs cite relevant medical references? An evaluation framework and analyses
Construction Site Scaffolding Completeness Detection Based on Mask R-CNN and Hough Transform
True to the Model or True to the Data?
Fork-Merge Decoding: Enhancing Multimodal Understanding in Audio-Visual Large Language Models
SKALD: Scalable K-Anonymisation for Large Datasets
Discrete Calculus of Sequences
Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence
LocNet: Global localization in 3D point clouds for mobile robots
MLO: Multi-Object Tracking and Lidar Odometry in Dynamic Environment
A Novel Uncertainty-aware Collaborative Learning Method for Remote Sensing Image Classification Under Multi-Label Noise
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
A THz Video SAR Imaging Algorithm Based on Chirp Scaling
An image-incorporated immersed boundary method for diffusion equations
DEJA VU: Continual Model Generalization For Unseen Domains
Factors Shaping Financial Success: A Deep Dive into Influencing Variables
A+D-Net: Shadow Detection with Adversarial Shadow Attenuation
Capacity-achieving Feedback Scheme for Gaussian Finite-State Markov Channels with Channel State Information
Modeling Interference from Millimeter Wave and Terahertz Bans Cross-links in Low Earth Orbit Satellite Networks for 6G and Beyond
Optimizing RPL Routing Using Tabu Search to Improve Link Stability and Energy Consumption in IoT Networks
An LLM-based Agent for Reliable Docker Environment Configuration
Total energy-shaping control for mechanical systems via Control-by-Interconnection
Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images
Human-Competitive Awards 2018
Activity-based and agent-based Transport model of Melbourne (AToM): an open multi-modal transport simulation model for Greater Melbourne
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
Event-triggered Boundary Control of Mixed-autonomy Traffic
Centroid-Based Scene Classification (CBSC): Using Deep Features and Clustering for RGB-D Indoor Scene Classification
L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
Decentralized Decision Making in Two Sided Manufacturing-as-a-Service Marketplaces
A Prevention and a Traction System for Ransomware Attacks
Enhancing software product lines with machine learning components
FnF-BFT: Exploring Performance Limits of BFT Protocols
Adaptive Gaussian process surrogates for Bayesian inference
Machine learning model to predict solar radiation, based on the integration of meteorological data and data obtained from satellite images
Constructing MSR codes with subpacketization 2 n/3 for k+1 helper nodes
Spatio-temporal Interference Correlation and Joint Coverage in Cellular Networks
Named Entity Sequence Classification
Large Language Model Assisted Automated Algorithm Generation and Evolution via Meta-black-box optimization
Leveraging Audio Representations for Vibration-Based Crowd Monitoring in Stadiums
Explainable AI Enabled Inspection of Business Process Prediction Models
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach
DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration
ECI: a Customizable Cache Coherency Stack for Hybrid FPGA-CPU Architectures
Geant4 in Scientific Literature
Machine Unlearning Meets Adversarial Robustness via Constrained Interventions on LLMs
Incentivized Network Dynamics in Digital Job Recruitment
Continual Learning for Adaptive AI Systems
Model Agnostic High-Dimensional Error-in-Variable Regression
Practically adaptable CPABE based Health-Records sharing framework
Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks
V-SYNTHESIS: Task-Agnostic Synthesis of Consistent and Diverse In-Context Demonstrations from Scratch via V-Entropy
Causal DAG extraction from a library of books or videos/movies
Online Monitoring of Global Attitudes Towards Wildlife
Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness
Automatic Generation of Large-scale 3D Road Networks based on GIS Data
VisionScores - A system-segmented image score dataset for deep learning tasks
Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification
German AI Start-Ups and AI Ethics: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation
emLam - a Hungarian Language Modeling baseline
Unrolled Graph Learning for Multi-Agent Collaboration
Learning Video Salient Object Detection Progressively from Unlabeled Videos
Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks
A Method for Identification and Ranking of Requirements Sources
A Multimodal Prototypical Approach for Unsupervised Sound Classification
A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability
Improving the "Correct Eventual Consistency" Tool
Handwritten Text Image Authentication using Back Propagation
Blind Signal Dereverberation for Machine Speech Recognition
Emergence of scaling in human-interest dynamics
Deriving Cyber-security Requirements for Cyber Physical Systems
Semi-active Suspension Control using Modern Methodology: Comprehensive Comparison Study
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
Trainable Highly-expressive Activation Functions
Sikkel: Multimode Simple Type Theory as an Agda Library
Relational Constraints for Metric Learning on Relational Data
On the Generalization of Learned Structured Representations
SAR-ShipNet: SAR-Ship Detection Neural Network via Bidirectional Coordinate Attention and Multi-resolution Feature Fusion
Shi-NeSS: Detecting Good and Stable Keypoints with a Neural Stability Score
Multi-Agent Reinforcement Learning with Graph Convolutional Neural Networks for optimal Bidding Strategies of Generation Units in Electricity Markets
LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
Universal Approximation of Markov Kernels by Shallow Stochastic Feedforward Networks
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
On the hardness of RL with Lookahead
Multi-View Video Packet Scheduling
Early years of Biased Random-Key Genetic Algorithms: A systematic review
Model Merging Scaling Laws in Large Language Models
Structure Enhanced Graph Neural Networks for Link Prediction
An Efficient Large-scale Semi-supervised Multi-label Classifier Capable of Handling Missing labels
A note on the category of c-spaces
Assessing the Reliability of Large Language Models in the Bengali Legal Context: A Comparative Evaluation Using LLM-as-Judge and Legal Experts
Feature Fusion Detector for Semantic Cognition of Remote Sensing
Reactive Temporal Logic Planning for Multiple Robots in Unknown Occupancy Grid Maps
A ν-support vector quantile regression model with automatic accuracy control
Sociotechnical Challenges of eHealth Technology for Patient Self-Management: A Systematic Review
convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer
DraftMarks: Enhancing Transparency in Human-AI Co-Writing Through Interactive Skeuomorphic Process Traces
Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation
Characterisation of the Etching Quality in Micro-Electro-Mechanical Systems by Thermal Transient Methodology
Block Korkin-Zolotarev algorithm generalization and their practical implementation. (Russian)
Fully Tensorized GPU-accelerated Multi-population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems
An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits
Freeze, Diffuse, Decode: Geometry-Aware Adaptation of Pretrained Transformer Embeddings for Antimicrobial Peptide Design
Learning Taxonomies of Concepts and not Words using Contextualized Word Representations: A Position Paper
1D-Convolutional Capsule Network for Hyperspectral Image Classification
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
Reducing Higher Order Pi-Calculus to Spatial Logics
Covert Entanglement Generation over Bosonic Channels
Decomposition of the NVALUE constraint
Wong-Zakai approximations with convergence rate for stochastic partial differential equations
On Scaled Methods for Saddle Point Problems
An Efficient Updation Approach for Enumerating Maximal (Δ, γ)-Cliques of a Temporal Network
Taking the Garbage Out of Data-Driven Prediction Across Climate Timescales
Adaptive Safety Margin Estimation for Safe Real-Time Replanning under Time-Varying Disturbance
Optimization of embeddings storage for RAG systems using quantization and dimensionality reduction techniques
Vision-Centric Representation-Efficient Fine-Tuning for Robust Universal Foreground Segmentation
An entropy stable spectral vanishing viscosity for discontinuous Galerkin schemes: application to shock capturing and LES models
Heterogeneous Team Coordination on Partially Observable Graphs with Realistic Communication
How to optimize an academic team when the outlier member is leaving?
Cross-domain Semi-Supervised Audio Event Classification Using Contrastive Regularization
Link Crossing Number is NP-hard
Governance Challenges in Reinforcement Learning from Human Feedback: Evaluator Rationality and Reinforcement Stability
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation
RACQUET: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs
SINR Diagram with Interference Cancellation
Group-wise Scaling and Orthogonal Decomposition for Domain-Invariant Feature Extraction in Face Anti-Spoofing
Low Resource Multi-modal Data Augmentation for End-to-end ASR
Several classes of Galois self-orthogonal MDS codes
CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research
On the Challenges of Open World Recognitionunder Shifting Visual Domains
Cold Posteriors through PAC-Bayes
Weak convergence rates for spectral regularization via sampling inequalities
Distance Spectrum of Fixed-Rate Raptor Codes with Linear Random Precoders
The Price of Free Illegal Live Streaming Services
Labeling Multipath via Reconfigurable Intelligent Surface
Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation
Sample-Optimal Quantum State Tomography for Structured Quantum States in One Dimension
Derivation of normal forms for dispersive PDEs via arborification
Occupancy Counting with Burst and Intermittent Signals in Smart Buildings
Duality in Persistent Homology of Images
StreetX: Spatio-Temporal Access Control Model for Data
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening
Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning
Optimal De-Anonymization in Random Graphs with Community Structure
Human-AI Collaboration: Trade-offs Between Performance and Preferences
Dual Control with Active Learning using Gaussian Process Regression
Runtime Analysis of Evolutionary Algorithms for Multiparty Multiobjective Optimization
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools
A monotone finite element method for reaction-drift-diffusion equations with discontinuous reaction coefficients
Optimizing Segmentation Granularity for Neural Machine Translation
Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains
Networks with Growth and Preferential Attachment: Modeling and Applications
Adapting Foundation Speech Recognition Models to Impaired Speech: A Semantic Re-chaining Approach for Personalization of German Speech
The Tensor Track VII: From Quantum Gravity to Artificial Intelligence
Outcrop fracture characterization on suppositional planes cutting through digital outcrop models (DOMs)
Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET
Solution for Meta KDD Cup'25: A Comprehensive Three-Step Framework for Vision Question Answering
Dynamic Recompilation of Software Network Services with Morpheus
Dimension-Free Average Treatment Effect Inference with Deep Neural Networks
Worst-Case Learning under a Multi-fidelity Model
Preference Learning from Physics-Based Feedback: Tuning Language Models to Design BCC/B2 Superalloys
Securing Cloud FPGAs Against Power Side-Channel Attacks: A Case Study on Iterative AES
Discretisation of continuous-time linear dynamical model with the Loewner interpolation framework
Robustness of Large Language Models Against Adversarial Attacks
Describe Anything in Medical Images
Digital tools against COVID-19: Framing the ethical challenges and how to address them
Mechanism Design and Blockchains
Minimal cost feature selection of data with normal distribution measurement errors
Analysis of Graph Neural Networks with Theory of Markov Chains
One Whisper to Grade Them All
Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection
Impact of Social Influence on Adoption Behavior: An Online Controlled Experimental Evaluation
Effects Without Monads: Non-determinism - Back to the Meta Language
Detecting LLM-Assisted Academic Dishonesty using Keystroke Dynamics
Energy minimization for skyrmions on planar thin films
HINT: Helping Ineffective Rollouts Navigate Towards Effectiveness
LLM Gesticulator: Leveraging Large Language Models for Scalable and Controllable Co-Speech Gesture Synthesis
Multiple Document Representations from News Alerts for Automated Bio-surveillance Event Detection
Why Johnny Can't Use Agents: Industry Aspirations vs. User Realities with AI Agent Software
Enforcing Cybersecurity Constraints for LLM-driven Robot Agents for Online Transactions
The Complexity of Fragments of Second-Order HyperLTL
LIWhiz: A Non-Intrusive Lyric Intelligibility Prediction System for the Cadenza Challenge
DyLoC: A Dual-Layer Architecture for Secure and Trainable Quantum Machine Learning Under Polynomial-DLA constraint
LoCoQuad: A Low-Cost Arachnoid Quadruped Robot for Research and Education
RoboFail: Analyzing Failures in Robot Learning Policies
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection
Inequalities for the Bayes Risk
32-Bit RISC-V CPU Core on Logisim
Gridless 3D Recovery of Image Sources from Room Impulse Responses
A game theory approach for self-coexistence analysis among IEEE 802.22 networks
Online Reputation and Polling Systems: Data Incest, Social Learning and Revealed Preferences
Queue Scheduling with Adversarial Bandit Learning
Optimal sensor placement under model uncertainty in the weak-constraint 4D-Var framework
Lattice Linear Algorithms
Causality Without Causal Models
TorKameleon: Improving Tor's Censorship Resistance With K-anonimization and Media-based Covert Channels
Evaluation and Comparison of Deep Learning Methods for Pavement Crack Identification with Visual Images
Computing Arrangements of Hypersurfaces
Configuration Interaction Guided Sampling with Interpretable Restricted Boltzmann Machine
Les index pour les entrepôts de données : comparaison entre index arbre-B et Bitmap
Tendon-Based Proprioception in an Anthropomorphic Underactuated Robotic Hand with Series Elastic Actuators
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
Information Theory with Kernel Methods
LLMs Think, But Not In Your Flow: Reasoning-Level Personalization for Black-Box Large Language Models
MRGAN360: Multi-stage Recurrent Generative Adversarial Network for 360 Degree Image Saliency Prediction
Time-Sensitive Networking for robotics
Survey on Code Generation for Low resource and Domain Specific Programming Languages
Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets
Fast and Scalable Multi-Kernel Encoder Classifier
Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing
Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data
A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values
Concolic Execution as a General Method of Determining Local Malware Signatures
Modelling Downlink Packet Aggregation in Paced 802.11ac WLANs
Beyond Single Models: Enhancing LLM Detection of Ambiguity in Requests through Debate
Algorithms for the Global Domination Problem
Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting
DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document Understanding
Synthetic Data in Healthcare
On the minimal set of controllers and sensors for linear power flow
HERITRACE in action: the ParaText project as a case study for semantic data management in Classical Philology
Joint Cache Resource Allocation and Request Routing for In-network Caching Services
Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback
Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation
Query-graph with Cross-gating Attention Model for Text-to-Audio Grounding
Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives
A Constructive Epistemic Logic with Public Announcement (Non-Predetermined Possibilities)
On Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs
Cross-Domain Sparse Coding
HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset
A Learning-based Planning and Control Framework for Inertia Drift Vehicles
Visual Echoes: A Simple Unified Transformer for Audio-Visual Generation
Risk-Aware Reasoning for Autonomous Vehicles
LoopTune: Optimizing Tensor Computations with Reinforcement Learning
Inference in Linear Observations with Multiple Signal Sources: Analysis of Approximate Message Passing and Applications to Unsourced Random Access in Cell-Free Systems
Generating Hard Instances for Robust Combinatorial Optimization
Bayesian Poroelastic Aquifer Characterization from InSAR Surface Deformation Data Part II: Quantifying the Uncertainty
"My lollipop dropped..."-Probing Design Opportunities for SEL Agents through Children's Peer Co-Creation of Social-Emotional Stories
g2o vs. Ceres: Optimizing Scan Matching in Cartographer SLAM
On the Performance of Mobility-Aware D2D Caching Networks
k -Center Clustering in Distributed Models
On the Suitability of Blockchain Platforms for IoT Applications: Architectures, Security, Privacy, and Performance
Quotients of Palindromic and Antipalindromic Numbers
Spiking control systems for soft robotics: a rhythmic case study in a soft robotic crawler
Discovering Multi-Table Functional Dependencies Without Full Join Computation
Asymmetric Norms to Approximate the Minimum Action Distance
Freeing Compute Caches from Serialization and Garbage Collection in Managed Big Data Analytics
A Sparse Bayesian Estimation Framework for Conditioning Prior Geologic Models to Nonlinear Flow Measurements
The Role of Social Support and Influencers in Social Media Communities
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice
Deep Convolutional Compression for Massive MIMO CSI Feedback
On the Practicality of 'Practical' Byzantine Fault Tolerance