yusuke1997/dblp-id-title huggingface dataset:
Mapping the Landscape of Artificial Intelligence Applications against COVID-19
Regressor-free Molecule Generation to Support Drug Response Prediction
Stacked Cross-modal Feature Consolidation Attention Networks for Image Captioning
Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison
Learning-based Defect Recognition for Quasi-Periodic Microscope Images
Explainable AI Methods for Multi-Omics Analysis: A Survey
Mean Field Behaviour of Collaborative Multi-Agent Foragers
Predicting Future Instance Segmentations by Forecasting Convolutional Features
Reinterpreting survival analysis in the universal approximator age
TAPHSIR: Towards AnaPHoric Ambiguity Detection and ReSolution In Requirements
On-the-Fly Ensemble Pruning in Evolving Data Streams
A New Parallel Message-distribution Technique for Cost-based Steganography
Constraint LTL Satisfiability Checking without Automata
Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning
Expert-Driven Monitoring of Operational ML Models
Why Not Replace? Sustaining Long-Term Visual Localization via Handcrafted-Learned Feature Collaboration on CPU
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Sales Policies for a Virtual Assistant
Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems
Exploring Gender Disparities in Automatic Speech Recognition Technology
ART-GAS: An Adaptive and Real-Time GTS Allocation Scheme for IEEE 802.15.4
Tensorized LSSVMs for Multitask Regression
Model-Based Planning in Discrete Action Spaces
MoXGATE: Modality-aware cross-attention for multi-omic gastrointestinal cancer sub-type classification
Prédiction de Performances pour les Communications Collectives
Asymptotics for metamaterial cavities and their effect on scattering
Autoencoder-assisted Feature Ensemble Net for Incipient Faults
Improving Automated Sonar Video Analysis to Notify About Jellyfish Blooms
Modeling Protein Using Large-scale Pretrain Language Model
PUCP-Metrix: An Open-source and Comprehensive Toolkit for Linguistic Analysis of Spanish Texts
Physics-Informed Kolmogorov-Arnold Networks for multi-material elasticity problems in electronic packaging
Explaining medical AI performance disparities across sites with confounder Shapley value analysis
Competitive Analysis of Online Path Selection: Impacts of Path Length, Topology, and System-Level Costs
Numerical simulations for a hybrid model of kinetic ions and mass-less fluid electrons in canonical formulations
Visual Diver Face Recognition for Underwater Human-Robot Interaction
Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation
Improving Fairness for Data Valuation in Federated Learning
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
An efficient algorithm for solving linear equality-constrained LQR problems
Precise Error Analysis of Regularized M-estimators in High-dimensions
Unsupervised Learning Consensus Model for Dynamic Texture Videos Segmentation
Minimizing Human Intervention in Online Classification
Incremental Learning Framework Using Cloud Computing
Minimal High-Resolution Patches Are Sufficient for Whole Slide Image Representation via Cascaded Dual-Scale Reconstruction
Joint Turn and Dialogue level User Satisfaction Estimation on Multi-Domain Conversations
One rig to control them all
RainNet: A Large-Scale Dataset for Spatial Precipitation Downscaling
Velocity/Position Integration Formula (II): Application to Inertial Navigation Computation
RepAct: The Re-parameterizable Adaptive Activation Function
Flexible Disaster Response of Tomorrow - Final Presentation and Evaluation of the CENTAURO System
Average Stack Cost of Buechi Pushdown Automata
Preference Leakage: A Contamination Problem in LLM-as-a-judge
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild
User Performance in Small Cells Networks with Inter-Cell Mobility
The limits of progress in the digital era
Identifying convex obstacles from backscattering far field data
Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata
Pruning the Unlabeled Data to Improve Semi-Supervised Learning
Survey on Source-coding technique
Aquarius: A Family of Industry-Level Video Generation Models for Marketing Scenarios
PCA Reduced Gaussian Mixture Models with Applications in Superresolution
ReConTab: Regularized Contrastive Representation Learning for Tabular Data
A Local Control Approach to Voltage Regulation in Distribution Networks
Inferring protein-protein interaction and protein-DNA interaction directions based on cause-effect pairs in undirected and mixed networks
Reductions for Automated Hypersafety Verification
Expressiveness and machine processability of Knowledge Organization Systems (KOS): An analysis of concepts and relations
Realistic Image Normalization for Multi-Domain Segmentation
A simple algorithm for checking equivalence of counting functions on free monoids
Classification of Sequential Circuits as Causal Functions
Control of dynamic systems with restrictions on input and output signals
An Enhanced Search Technique for Managing Partial Coverage and Free Riding in P2P Networks
SACA: Selective Attention-Based Clustering Algorithm
An Architecture of Active Learning SVMs with Relevance Feedback for Classifying E-mail
Towards Competitive Search Relevance For Inference-Free Learned Sparse Retrievers
Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System
Deep Imbalanced Attribute Classification using Visual Attention Aggregation
Social Choice Random Utility Models of Intransitive Pairwise Comparisons
Infused Suppression Of Magnification Artefacts For Micro-AU Detection
Porting and optimizing UniFrac for GPUs
Research on Evaluation Methods for Patent Novelty Search Systems and Empirical Analysis
A Fast Alternating Minimization Algorithm for Coded Aperture Snapshot Spectral Imaging Based on Sparsity and Deep Image Priors
Further Theoretical Study of Distribution Separation Method for Information Retrieval
CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition
Spectral properties of the Laplacian of multiplex networks
What are acceptable reductions? Perspectives from proof-theoretic semantics and type theory
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques
Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
SQL Access Patterns for Optimistic Concurrency Control
A Neural Score Follower for Computer Accompaniment of Polyphonic Musical Instruments
qlty: handling large tensors in scientific imaging
Dynamic Bandwidth Allocation for Hybrid Event-RGB Transmission
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
Quantum projective measurements and the CHSH inequality in Isabelle/HOL
Just read twice: closing the recall gap for recurrent language models
From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias
FISR: Deep Joint Frame Interpolation and Super-Resolution with A Multi-scale Temporal Loss
A Knowledge Graph based Approach for Mobile Application Recommendation
LoCUS: A multi-robot loss-tolerant algorithm for surveying volcanic plumes
Asynchronous Communication over a Fading Channel and Additive Noise
Representational Alignment Across Model Layers and Brain Regions with Hierarchical Optimal Transport
Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention
Mahiru: a federated, policy-driven data processing and exchange system
Long Context Modeling with Ranked Memory-Augmented Retrieval
Noise-Tolerant Quantum Algorithm for Ground State Energy Estimation
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
Combining Ensemble Kalman Filter and Reservoir Computing to predict spatio-temporal chaotic systems from imperfect observations and models
Ethics in AI through the Developer's Prism: A Socio-Technical Grounded Theory Literature Review and Guidelines
Node Dissimilarity Index for Complex Network Analysis
Consistent approximation of fractional order operators
Time Petri Net Models for a New Queuless and Uncentralized Resource Discovery System
Watsonsim: Overview of a Question Answering Engine
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Gaussian Process Bandit Optimization of theThermodynamic Variational Objective
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference
Generalization in Neural Networks: A Broad Survey
Hedge Connectivity without Hedge Overlaps
ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
Gradient Flow Based Discretized Kohn-Sham Density Functional Theory
F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
New Sequences Design from Weil Representation with Low Two-Dimensional Correlation in Both Time and Phase Shifts
Vox-Evaluator: Enhancing Stability and Fidelity for Zero-shot TTS with A Multi-Level Evaluator
Compositional Memory for Visual Question Answering
Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models
Isometries and Construction of Permutation Arrays
Collective Adaptation in Multi-Agent Systems: How Predator Confusion Shapes Swarm-Like Behaviors
Improving Novel view synthesis of 360 ° Scenes in Extremely Sparse Views by Jointly Training Hemisphere Sampled Synthetic Images
Non-ideal torque control of wind turbine systems: Impacts on annual energy production
BER Analysis of Decision-Feedback Multiple Symbol Detection in Noncoherent MIMO Ultra-Wideband Systems
The inf-sup constant for Crouzeix-Raviart triangular elements of any polynomial order
Agglomerative Clustering of Handwritten Numerals to Determine Similarity of Different Languages
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
Hierarchical Intention-Aware Expressive Motion Generation for Humanoid Robots
SVSGAN: Singing Voice Separation via Generative Adversarial Network
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving
Advancing Nonlinear System Stability Analysis with Hessian Matrix Analysis
Excerpt from the book World of Movable Objects
A new variational formulation with high order impedance boundary condition for the scattering problem in electromagnetism
BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network
RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment
Self-Supervised Learning For Few-Shot Image Classification
Robot Path and Trajectory Planning Considering a Spatially Fixed TCP
Reliable communication over non-binary insertion/deletion channels
Temporal data mining for root-cause analysis of machine faults in automotive assembly lines
Meta Distribution of SIR in Ultra-Dense Networks with Bipartite Euclidean Matchings
Solving Archaeological Puzzles
Face Detection using Deep Learning: An Improved Faster RCNN Approach
Video Colorization using CNNs and Keyframes extraction: An application in saving bandwidth
DeepCritic: Deliberate Critique with Large Language Models
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images
Team Badminseok at IJCAI CoachAI Badminton Challenge 2023: Multi-Layer Multi-Input Transformer Network (MuLMINet) with Weighted Loss
Exploiting Grids for applications in Condensed Matter Physics
A Two-stage Method for Non-extreme Value Salt-and-Pepper Noise Removal
Partial Resampling of Imbalanced Data
X-Ray bone abnormalities detection using MURA dataset
On Clearing Prices in Matching Markets: A Simple Characterization without Duality
On the Unconditional Security of Hierarchical Key Assignment Schemes
The archive solution for distributed workflow management agents of the CMS experiment at LHC
Encrypted Operator Computing: an alternative to Fully Homomorphic Encryption
Multi-Tenant SmartNICs for In-Network Preprocessing of Recommender Systems
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons
Kishon's Poker Game
Universal Approximation Power of Deep Neural Networks via Nonlinear Control Theory
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction
Shaping Pulses to Control Multi-Stable Biological Systems
Narrowing the Gap: Improved Detector Training with Noisy Location Annotations
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
Domain decomposition-based coupling of physics-informed neural networks via the Schwarz alternating method
Transfer Ranking in Finance: Applications to Cross-Sectional Momentum with Data Scarcity
Rule based Part of speech Tagger for Homoeopathy Clinical realm
All-optical graph representation learning using integrated diffractive photonic computing units
WOLF: A modular estimation framework for robotics based on factor graphs
A Configuration-First Framework for Reproducible, Low-Code Localization
AC2 - Towards Understanding Architectural Changes in Rapid Releases
Teacher-Student Domain Adaptation for Biosensor Models
Data-driven Analysis of T-Product-based Dynamical Systems
Data-driven Interval MDP for Robust Control Synthesis
Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks
Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models
Basic interactive algorithms: Preview
Affine maps between graph isomorphism polytopes and Boolean quadratic polytopes
A Computationally Efficient Robust Model Predictive Control Framework for Ecological Adaptive Cruise Control Strategy of Electric Vehicles
Accelerating Surface Tension Calculation in SPH via Particle Classification & Monte Carlo Integration
Identifying mass composition of ultra-high-energy cosmic rays using deep learning
New spectral approach for community structure analysis on complex networks
Exposing LLM User Privacy via Traffic Fingerprint Analysis: A Study of Privacy Risks in LLM Agent Interactions
In-stream Probabilistic Cardinality Estimation for Bloom Filters
Reducing Spelling Inconsistencies in Code-Switching ASR using Contextualized CTC Loss
pyGANDALF - An open-source, Geometric, ANimation, Directed, Algorithmic, Learning Framework for Computer Graphics
Learning Low-Dimensional Embeddings for Black-Box Optimization
Aerial Robot Model based design and verification of the single and multi-agent inspection application development
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures
Estimating network memberships by mixed regularized spectral clustering
Reverse Engineering the Reproduction Number: A Framework for Data-Driven Counterfactual Analysis, Strategy Evaluation, and Feedback Control of Epidemics
Abstract Interpretation with Infinitesimals: Towards Scalability in Nonstandard Static Analysis (Extended Version)
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI
Generating Mitigations for Downstream Projects to Neutralize Upstream Library Vulnerability
Efficient Constrained Multi-Agent Interactive Planning using Constrained Dynamic Potential Games
Towards the Next Frontier in Speech Representation Learning Using Disentanglement
ConvNeXt with Histopathology-Specific Augmentations for Mitotic Figure Classification
An algorithm to simulate alternating Turing machine in signal machine
Dynamic learning rate using Mutual Information
Dependent Pearl: Normalization by realizability
Incentivizing efficient use of shared infrastructure: Optimal tolls in congestion games
Robust Attacks against Multiple Classifiers
Compact Global Descriptor for Neural Networks
Order-to-chaos transition in the hardness of random Boolean satisfiability problems
How implicit regularization of Neural Networks affects the learned function - Part I
Representing Pattern Matching Algorithms by Polynomial-Size Automata
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval
Text-to-Image Alignment in Denoising-Based Models through Step Selection
A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics
Avoiding 5-circuits in a 2-factor of cubic graphs
Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search
CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
Exploring the Frontiers of kNN Noisy Feature Detection and Recovery for Self-Driving Labs
Cryo-ZSSR: multiple-image super-resolution based on deep internal learning
A quantum neural network framework for scalable quantum circuit approximation of unitary matrices
A Fully Distributed Opportunistic Network Coding Scheme for Cellular Relay Networks
Scale-Net: Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching
Leveraging Conversational Generative AI for Anomaly Detection in Digital Substations
torchmSAT: A GPU-Accelerated Approximation To The Maximum Satisfiability Problem
MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
Solving the large syndrome calculation problem in steganography
A SUMO-Based Digital Twin for Evaluation of Conventional and Electric Vehicle Networks
Locality in Crisscross Error Correction
Solving inverse scattering problems via reduced-order model embedding procedures
Formal Data Validation with Event-B
Quenching of stable pulses in slow-fast excitable media
Channel-coded Collision Resolution by Exploiting Symbol Misalignment
Reversible Video Data Hiding Using Zero QDCT Coefficient-Pairs
The unified higher-order dependency pair framework
Survey on Vehicular Ad Hoc Networks and Its Access Technologies Security Vulnerabilities and Countermeasures
Beyond the Pocket: A Large-Scale International Study on User Preferences on Bodily Placements of Commercial Wearables
Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs
2DLIW-SLAM: 2D LiDAR-Inertial-Wheel Odometry with Real-Time Loop Closure
PlantSegNeRF: A few-shot, cross-dataset method for plant 3D instance point cloud reconstruction via joint-channel NeRF with multi-view image instance matching
Analyzing Ideological Communities in Congressional Voting Networks
Sensory Anticipation of Optical Flow in Mobile Robotics
Multilingual Controlled Generation And Gold-Standard-Agnostic Evaluation of Code-Mixed Sentences
Improving the robustness of online social networks: A simulation approach of network interventions
Linear Oscillation: The Aesthetics of Confusion for Vision Transformer
Can Vibe Coding Beat Graduate CS Students? An LLM vs. Human Coding Tournament on Market-driven Strategic Planning
Energy-aware Graph Job Allocation in Software Defined Air-Ground Integrated Vehicular Networks
Representation Quantization for Collaborative Filtering Augmentation
A qutrit Quantum Key Distribution protocol with better noise resistance
"My Replika Cheated on Me and She Liked It": A Taxonomy of Algorithmic Harms in Human-AI Relationships
Open Tiled Manycore System-on-Chip
Approximation Algorithms for Covering and Packing Problems on Paths
Ransomware Analysis using Feature Engineering and Deep Neural Networks
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series
NeedleChain: Measuring Intact Long-Context Reasoning Capability of Large Language Models
Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval
Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language Models
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes
Robust and Flexible Omnidirectional Depth Estimation with Multiple 360° Cameras
Almost Universal Hash Families are also Storage Enforcing
PersonificationNet: Making customized subject act like a person
Dual-Modal Prompting for Sketch-Based Image Retrieval
High-Dimensional Surrogate Modeling for Closed-Loop Learning of Neural-Network-Parameterized Model Predictive Control
Numerical investigations on the resonance errors of multiscale discontinuous Galerkin methods for one-dimensional stationary Schrödinger equation
Knowledge Translation: A New Pathway for Model Compression
CORE: Contrastive Masked Feature Reconstruction on Graphs
Probe-Rewrite-Evaluate: A Workflow for Reliable Benchmarks and Quantifying Evaluation Awareness
Passive Learning of Lattice Automata from Recurrent Neural Networks
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping
Hybrid Zero Dynamics Control for Bipedal Walking with a Non-Instantaneous Double Support Phase
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach
NLP-based detection of systematic anomalies among the narratives of consumer complaints
Optimal intervention in traffic networks
CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forums
When Large Language Models Do Not Work: Online Incivility Prediction through Graph Neural Networks
A Tractable Statistical Representation of IFTR Fading with Applications
Independent component analysis in the light of Information Geometry
On the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition
The "No Justice in the Universe" phenomenon: why honesty of effort may not be rewarded in tournaments
Comparative study of Transformer and LSTM Network with attention mechanism on Image Captioning
Turning Transport Data to Comply with EU Standards while Enabling a Multimodal Transport Knowledge Graph
AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO
Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks
Primitive Sets of Words
Hardware-Impaired Rician-Faded Cell-Free Massive MIMO Systems With Channel Aging
Persistence-Based Discretization for Learning Discrete Event Systems from Time Series
An Anti-Interference AFDM System: Interference Impacts Analyses and Parameter Optimization
Introducing Linear Implication Types to λ GT for Computing With Incomplete Graphs
Sentiment and Sarcasm Classification with Multitask Learning
Stabilizing Adversarial Nets With Prediction Methods
Strong formulations of the generalised Navier-Stokes momentum equation
LLM-Adapted Interpretation Framework for Machine Learning Models
Almost Uniform Sampling of Independent Sets in Polynomial Time - Implying NP=RP
Topology Identification in Distribution Networks using Harmonic Synchrophasor Measurements
Optimal and Diffusion Transports in Machine Learning
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework
A Multilingual FrameNet-based Grammar and Lexicon for Controlled Natural Language
mir_ref: A Representation Evaluation Framework for Music Information Retrieval Tasks
Performance Analysis and Comparison of Non-ideal Wireless PBFT and RAFT Consensus Networks in 6G Communications
ASP-Assisted Symbolic Regression: Uncovering Hidden Physics in Fluid Mechanics
Recursive simplex stars
Three-Dimensional Segmentation of the Left Ventricle in Late Gadolinium Enhanced MR Images of Chronic Infarction Combining Long- and Short-Axis Information
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks
EDITS: Enhancing Dataset Distillation with Implicit Textual Semantics
FoCL: Feature-Oriented Continual Learning for Generative Models
BPQA Dataset: Evaluating How Well Language Models Leverage Blood Pressures to Answer Biomedical Questions
Unsupervised Domain Adaptation for Video Semantic Segmentation
A Data-Driven Method for Automated Data Superposition with Applications in Soft Matter Science