yusuke1997/dblp-id-title huggingface dataset:
On the Protocol Composition Logic PCL
A Spatio-Causal Growth Model Explains the Pareto Principle
Fast Lempel-Ziv Decompression in Linear Space
A Preliminary Study on Self-Contained Libraries in the NPM Ecosystem
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
Formal Aspects of Grid Brokering
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS
A Generalized Diffusion Strategy for Energy-constrained Distributed Estimation
Explicit construction of RIP matrices is Ramsey-hard
Characterizing Financial Market Coverage using Artificial Intelligence
uStash: a Novel Mobile Content Delivery System for Improving User QoE in Public Transport
Salvaging Forbidden Treasure in Medical Data: Utilizing Surrogate Outcomes and Single Records for Rare Event Modeling
The model of methodical system and learning objectives of the foundations of mathematical informatics for students of technical universities
Adaptive Keywords Extraction with Contextual Bandits for Advertising on Parked Domains
Optimal Energy Allocation Policy for Wireless Networks in the Sky
Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring
Unified Gentzen Approach to Connexive Logics over Wansing's C
Simple Type Theory as Framework for Combining Logics
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning
AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale
Automated Netlist Generation for 3D Electrothermal and Electromagnetic Field Problems
Investigating Reinforcement Learning Agents for Continuous State Space Environments
Heterogeneous attachment strategies optimize the topology of dynamic wireless networks
Adjusted Subadditivity of Relative Entropy for Non-commuting Conditional Expectations
Multi-Object Tracking with Deep Learning Ensemble for Unmanned Aerial System Applications
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition
Water Flow Detection Device Based on Sound Data Analysis and Machine Learning to Detect Water Leakage
Managing Traceability Information Models: Not such a simple task after all?
Secure Data Access in Cloud Environments Using Quantum Cryptography
PaTH Attention: Position Encoding via Accumulating Householder Transformations
AI-Powered Urban Transportation Digital Twin: Methods and Applications
Combinatorial Modelling and Learning with Prediction Markets
Self-Distilled Vision Transformer for Domain Generalization
Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks
Using Causal Discovery to Track Information Flow in Spatio-Temporal Data - A Testbed and Experimental Results Using Advection-Diffusion Simulations
Rankings of countries based on rankings of universities
Nonlinear optimals and their role in sustaining turbulence in channel flow
Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents
FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces
Finite element analysis of an eigenvalue problem arising from neutron transport
Contrast-independent partially explicit time discretizations for nonlinear multiscale problems
e-Profits: A Business-Aligned Evaluation Metric for Profit-Sensitive Customer Churn Prediction
Divide and Generate: Neural Generation of Complex Sentences
Delving into the Adversarial Robustness on Face Recognition
A Closed-form Solution to Universal Style Transfer
CREER: A Large-Scale Corpus for Relation Extraction and Entity Recognition
Efficient Online Large-Margin Classification via Dual Certificates
Max-Margin Feature Selection
Constrained Decoding for Secure Code Generation
Understanding Approximation for Bayesian Inference in Neural Networks
Vanilla-Converter: A Tool for Converting Camunda 7 BPMN Models into Camunda 8 Models
Selecting interesting zones at Aburrá valley and valley of St. Nicholas Valley's using the identification method of Density-based Clustering and Improved Nearest Neighbor applied on social networks
Towards Cognitive Synergy in LLM-Based Multi-Agent Systems: Integrating Theory of Mind and Critical Evaluation
Scale calibration for high-dimensional robust regression
Aspect-based Academic Search using Domain-specific KB
Semi-supervised teacher-student deep neural network for materials discovery
A faster algorithm for finding Tarski fixed points
StreamEQA: Towards Streaming Video Understanding for Embodied Scenarios
AI Algorithm for Predicting and Optimizing Trajectory of UAV Swarm
Fixed Points and Attractors of Reactantless and Inhibitorless Reaction Systems
Game Design Prototype with GIMs: Fostering Neurodiverse Connections through Storytelling
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Web application for size and topology optimization of trusses and gusset plates
A Cycle Ride to HDR: Semantics Aware Self-Supervised Framework for Unpaired LDR-to-HDR Image Translation
WildLong: Synthesizing Realistic Long-Context Instruction Data at Scale
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search
JARViS: Detecting Actions in Video Using Unified Actor-Scene Context Relation Modeling
An introduction to the a posteriori error analysis of parabolic partial differential equations
Encoder Decoder Generative Adversarial Network Model for Stock Market Prediction
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation
Inference of Shape Expression Schemas Typed RDF Graphs
Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters?
Market Equilibrium for Bundle Auctions and the Matching Core of Nonnegative TU Games
BudgetLeak: Membership Inference Attacks on RAG Systems via the Generation Budget Side Channel
A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems
The Computation of Generalized Embeddings for Underwater Acoustic Target Recognition using Contrastive Learning
RAEE: A Training-Free Retrieval-Augmented Early Exiting Framework for Efficient Inference
Exogenous Quantum Operator Logic Based on Density Operators
Exploring Representation-Aligned Latent Space for Better Generation
Computing Pretropisms for the Cyclic n-Roots Problem
An Overview of Ultra-WideBand (UWB) Standards(IEEE 802.15.4, FiRa, Apple): Interoperability Aspects and Future Research Directions
Scene Text Detection via Holistic, Multi-Channel Prediction
Interactive Image-Based Aphid Counting in Yellow Water Traps under Stirring Actions
Spreadsheet Errors: What We Know. What We Think We Can Do
Discovery of structure-property relations for molecules via hypothesis-driven active learning over the chemical space
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges
Predicting the Results of LTL Model Checking using Multiple Machine Learning Algorithms
Developing and Evaluating an AI-Assisted Prediction Model for Unplanned Intensive Care Admissions following Elective Neurosurgery using Natural Language Processing within an Electronic Healthcare Record System
Multi-objective multi-generation Gaussian process optimizer for design optimization
On the influence of roundoff errors on the convergence of the gradient descent method with low-precision floating-point computation
Curing Epidemics on Networks using a Polya Contagion Model
Dynamics on networks. Case of Heterogeneous Opinion Status Model
MoCHA: Advanced Vision-Language Reasoning with MoE Connector and Hierarchical Group Attention
A Concurrent Switching Model for Traffic Congestion Control
Investigating the Role of Prior Disambiguation in Deep-learning Compositional Models of Meaning
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
Direct Debiased Machine Learning via Bregman Divergence Minimization
On The Variability of Concept Activation Vectors
Human Mobility in Large Cities as a Proxy for Crime
A poset metric from the directed maximum common edge subgraph
Long ties accelerate noisy threshold-based contagions
Comparative Study of Long Short-Term Memory (LSTM) and Quantum Long Short-Term Memory (QLSTM): Prediction of Stock Market Movement
Fast algorithm to identify cluster synchrony through fibration symmetries in large information-processing networks
New Insights in Boundary-only and Domain-type RBF Methods
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors
On the Interplay of Subset Selection and Informed Graph Neural Networks
Average Case Error Estimates of the Strong Lucas Test
Online Learning of Objects through Curiosity-Driven Active Learning
Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens
Characterizing Data Visualization Literacy: a Systematic Literature Review
Exploiting Unsupervised Inputs for Accurate Few-Shot Classification
Routing to the Right Expertise: A Trustworthy Judge for Instruction-based Image Editing
Inference from correlated patterns: a unified theory for perceptron learning and linear vector channels
The return to higher education: evidence from Romania
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks
Tube-enhanced Multi-stage MPC for Flexible Robust Control of Constrained Linear Systems with Additive and Parametric Uncertainties
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
Evaluating the Critical Risks of Amazon's Nova Premier under the Frontier Model Safety Framework
A Unifying Framework for Robust and Efficient Inference with Unstructured Data
A Novel OMNeT++-based Simulation Tool for Vehicular Cloud Computing in ETSI MEC-compliant 5G Environments
Estimating Mutual Information via Geodesic kNN
Less is more: zero-shot learning from online textual documents with noise suppression
Natural Language-Driven Viewpoint Navigation for Volume Exploration via Semantic Block Representation
Localization and Tracking of User-Defined Points on Deformable Objects for Robotic Manipulation
Energy Benefit of Network Coding for Multiple Unicast in Wireless Networks
Neural Network-based Vehicular Channel Estimation Performance: Effect of Noise in the Training Set
LAFA: Agentic LLM-Driven Federated Analytics over Decentralized Data Sources
Amortized Noisy Channel Neural Machine Translation
Learning to Discover Medicines
Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Multicalibration yields better matchings
Defending against Backdoor Attack on Deep Neural Networks
A Comparative Study on using Principle Component Analysis with Different Text Classifiers
Using Machine Learning To Identify Software Weaknesses From Software Requirement Specifications
Resource theory of asymmetric distinguishability
Linear Depth Increase of Lambda Terms in Leftmost-Outermost Beta-Reduction Rewrite Sequences
Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions
Efficiency-Aware Computational Intelligence for Resource-Constrained Manufacturing Toward Edge-Ready Deployment
Cooperative Strategies for the Half-Duplex Gaussian Parallel Relay Channel: Simultaneous Relaying versus Successive Relaying
CTU Depth Decision Algorithms for HEVC: A Survey
Variational EP with Probabilistic Backpropagation for Bayesian Neural Networks
Detecting fake review buyers using network structure: Direct evidence from Amazon
Revisiting the Threat Space for Vision-based Keystroke Inference Attacks
Catch Your Breath: Adaptive Computation for Self-Paced Sequence Production
Weakly Supervised Semantic Segmentation via Progressive Patch Learning
On the shift-invert Lanczos method for the buckling eigenvalue problem
Decongestion of urban areas with hotspot-pricing
Improving Automatic Hate Speech Detection with Multiword Expression Features
SLA-MORL: SLA-Aware Multi-Objective Reinforcement Learning for HPC Resource Optimization
On Ranges and Partitions in Optimal TCAMs
Wavelet Based Image Coding Schemes : A Recent Survey
Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
Document Intelligence in the Era of Large Language Models: A Survey
Maintainability and evolvability of control software in machine and plant manufacturing - An industrial survey
Analyzing User Activities, Demographics, Social Network Structure and User-Generated Content on Instagram
Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation
Predicting Breast Cancer Survival: A Survival Analysis Approach Using Log Odds and Clinical Variables
A Comprehensive Study of Deep Video Action Recognition
Contextual API Completion for Unseen Repositories Using LLMs
MPC using mixed-integer programming for aquifer thermal energy storages
Crowdsourcing and Sidewalk Data: A Preliminary Study on the Trustworthiness of OpenStreetMap Data in the US
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
Embedding Quality Assurance in project-based learning
Causality Matters: How Temporal Information Emerges in Video Language Models
Musculoskeletal simulation of limb movement biomechanics in Drosophila melanogaster
Investigating the Relationship between Weighted Figure of Merit and Rosin's Measure
Identification of Friction Models for MPC-based Control of a PowerCube Serial Robot
GenCA: A Text-conditioned Generative Model for Realistic and Drivable Codec Avatars
Taming Object Hallucinations with Verified Atomic Confidence Estimation
Virtual Reality-Assisted Physiotherapy for Visuospatial Neglect Rehabilitation: A Proof-of-Concept Study
Datastringer: easy dataset monitoring for journalists
OpenPneu: Compact platform for pneumatic actuation with multi-channels
Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video
Visualising interactive inferences with IDPD3
Validation of Automatically Generated Patches: An Appetizer
Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm
A Structured Systems Approach for Optimal Actuator-Sensor Placement in Linear Time-Invariant Systems
Graph Querying for Semantic Annotations
Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring
Target-driven Self-Distillation for Partial Observed Trajectories Forecasting
Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model
DexiTac: Soft Dexterous Tactile Gripping
Unified discrete multisymplectic Lagrangian formulation for hyperelastic solids and barotropic fluids
Robustness and Adaptiveness Analysis of Future Fleets
Explicit Solution of Worst-Case Secrecy Rate for MISO Wiretap Channels with Spherical Uncertainty
Rationality-proof consensus: extended abstract
Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results
Multi-level Memory-augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection
The best multicore-parallelization refactoring you've never heard of
VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation
Time Series Prediction about Air Quality using LSTM-Based Models: A Systematic Mapping
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers
Information System as a Service: Issues and Challenges
CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter
Analysis of Boolean Functions based on Interaction Graphs and their influence in System Biology
Realistic Image-to-Image Machine Unlearning via Decoupling and Knowledge Retention
Second Order Optimization Made Practical
Online Analytical Processing on Graph Data
A Neuromorphic Architecture for Scalable Event-Based Control
Improving generalisation via anchor multivariate analysis
CXR-FL: Deep Learning-based Chest X-ray Image Analysis Using Federated Learning
Attributes for Causal Inference in Longitudinal Observational Databases
Implicit Sensitive Text Summarization based on Data Conveyed by Connectives
Graph Sampling Approach for Reducing Computational Complexity of Large-Scale Social Network
Moments in Time Dataset: one million videos for event understanding
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty
A Unified Probabilistic Framework for Dictionary Learning with Parsimonious Activation
Estimation of Static Community Memberships from Temporal Network Data
The efficient generation of unstructured control volumes in 2D and 3D
A fully automated end-to-end process for fluorescence microscopy images of yeast cells: From segmentation to detection and classification
Attack on the Edon-K Key Encapsulation Mechanism
Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat Counting and Demographic Data Integration
Empowering Federated Learning for Massive Models with NVIDIA FLARE
RIFT: Multi-modal Image Matching Based on Radiation-invariant Feature Transform
M^2-3DLaneNet: Multi-Modal 3D Lane Detection
Accelerating Physics Simulations with TPUs: An Inundation Modeling Example
Scratch iridescence: Wave-optical rendering of diffractive surface structure
Efficient Pose and Cell Segmentation using Column Generation
Active Matter as a framework for living systems-inspired Robophysics
Novel View Synthesis from a Single Image with Pretrained Diffusion Guidance
From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks
Large-Scale Experiment on the Importance of Social Learning and Unimodality in the Wisdom of the Crowd
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification
On linear rewriting systems for Boolean logic and some applications to proof theory
Sentiment Analysis of Covid-related Reddits
Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation
Solving Schrödinger's equation by B-spline collocation
Graph Pooling with Maximum-Weight k-Independent Sets
Online Keyword Spotting with a Character-Level Recurrent Neural Network
Covariance Plasticity and Regulated Criticality
Energy-Efficient Cryogenic Ternary Content Addressable Memory using Ferroelectric SQUID
AGI and Reflexivity
Utilizing Reinforcement Learning for de novo Drug Design
A Method for Image Reduction Based on a Generalization of Ordered Weighted Averaging Functions
Dichotomy for Holant* Problems with a Function on Domain Size 3
CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation
A Framework for Planning and Controlling Non-Periodic Bipedal Locomotion
Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations
Learning self-triggered controllers with Gaussian processes
Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks
Modeling urban housing market dynamics: can the socio-spatial segregation preserve some social diversity?
A Novel Formal Agent-based Simulation Modeling Framework of an AIDS Complex Adaptive System
Privacy-preserving Robotic-based Multi-factor Authentication Scheme for Secure Automated Delivery System
Watchdogs and Oracles: Runtime Verification Meets Large Language Models for Autonomous Systems
Active deep learning method for the discovery of objects of interest in large spectroscopic surveys
The Effects of Data Split Strategies on the Offline Experiments for CTR Prediction
QT-Routenet: Improved GNN generalization to larger 5G networks by fine-tuning predictions from queueing theory
SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
Short-Form Video Recommendations with Multimodal Embeddings: Addressing Cold-Start and Bias Challenges
Decentralized Predicate Detection over Partially Synchronous Continuous-Time Signals
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models
Sampled Fictitious Play is Hannan Consistent
Multi-Level Feature Descriptor for Robust Texture Classification via Locality-Constrained Collaborative Strategy
Fairness-aware Bayes optimal functional classification
The Irrationality of Neural Rationale Models
Entropy bounds for grammar compression
Bayesian Quickest Detection with Phase-Distributed Change Time and Nonlinear Penalty -- A Lattice Programming Approach
Orientation stabilization in a bioinspired bat-robot using integrated mechanical intelligence and control
An undecidable property of context-free languages
Learning Vine Copula Models For Synthetic Data Generation
Mixed finite element and TPSA finite volume methods for linearized elasticity and Cosserat materials
Consensus-Halving: Does it Ever Get Easier?
Online Service Caching and Routing at the Edge with Switching Cost
Solving Context Window Overflow in AI Agents
Blind Localization of Early Room Reflections with Arbitrary Microphone Array
Reach-Avoid Differential game with Reachability Analysis for UAVs: A decomposition approach
Optimization Insights into Deep Diagonal Linear Networks
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
Minimization of differential equations and algebraic values of E-functions
Landmark and Intensity Based Registration with Large Deformations via Quasi-conformal Maps
Syndrome decoding meets multiple instances
Arm DynamIQ Shared Unit and Real-Time: An Empirical Evaluation
Navigating the Python Type Jungle
Hyperspectral Image Classification with Support Vector Machines on Kernel Distribution Embeddings
Multi-Antenna Relaying and Reconfigurable Intelligent Surfaces: End-to-End SNR and Achievable Rate
Towards Zero Memory Footprint Spiking Neural Network Training
RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble
Attributes Guided Feature Learning for Vehicle Re-identification
Transition Path Sampling with Boltzmann Generator-based MCMC Moves
UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
Cycle Text-To-Image GAN with BERT
A Primer for Preferential Non-Monotonic Propositional Team Logics
Universal tester for multiple independence testing and classical-quantum arbitrarily varying multiple access channel
Upfront Chain-of-Thought: A Cooperative Framework for Chain-of-Thought Compression
AgenticAD: A Specialized Multiagent System Framework for Holistic Alzheimer Disease Management
Patterns of Ship-borne Species Spread: A Clustering Approach for Risk Assessment and Management of Non-indigenous Species Spread
A Second-Order Nonlocal Approximation to Manifold Poisson Models with Neumann Boundary
A Mathematical Dashboard for the Analysis of Italian COVID-19 Epidemic Data
VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
NeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation
Crowd Modeling and Control via Cooperative Adaptive Filtering
Learning RoI Transformer for Detecting Oriented Objects in Aerial Images
Sobolev Wasserstein GAN
Language Modeling on a SpiNNaker 2 Neuromorphic Chip
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines
Difficulties of Timestamping Archived Web Pages
Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach using Empirical Data
On the Efficiency of Various Deep Transfer Learning Models in Glitch Waveform Detection in Gravitational-Wave Data