yusuke1997/dblp-id-title huggingface dataset:
i-Mask: An Intelligent Mask for Breath-Driven Activity Recognition
ModernVBERT: Towards Smaller Visual Document Retrievers
Error Estimation for Adaptive Mesh Refinement in Droplet Simulations
Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design
Revisiting Item Promotion in GNN-based Collaborative Filtering: A Masked Targeted Topological Attack Perspective
A Directionally Selective Neural Network with Separated ON and OFF Pathways for Translational Motion Perception in a Visually Cluttered Environment
Intelligent Multi-Document Summarisation for Extracting Insights on Racial Inequalities from Maternity Incident Investigation Reports
Network Hardware-Accelerated Consensus
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation
Towards Interpretable Visual Decoding with Attention to Brain Representations
Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in The Dark
Rethinking Diffusion Model in High Dimension
Neuron Patching: Neuron-level Model Editing on Code Generation and LLMs
Gamed-based iSTART Practice: From MiBoard to Self-Explanation Showdown
Egocentric Visual Self-Modeling for Legged Robot Locomotion
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks
Self-Supervised Pre-Training for Table Structure Recognition Transformer
Scaling Properties in Time-Varying Networks with Memory
CORE: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks
Generative methods for sampling transition paths in molecular dynamics
Source Behavior for ATM ABR Traffic Management: An Explanation
Latent Causal Invariant Model
Topological Interference Management with Transmitter Cooperation
An ECC-based Fault Tolerance Approach for DNNs
Word Segmentation for Asian Languages: Chinese, Korean, and Japanese
Comments on "A model-based design methodology for the development of mechatronic systems"
Fast and Accurate Object Detection on Asymmetrical Receptive Field
Subsampling Winner Algorithm for Feature Selection in Large Regression Data
A Framework for the Security and Privacy of Biometric System Constructions under Defined Computational Assumptions
Improved Monte Carlo Variance Reduction for Space and Energy Self-Shielding
A Note on Hybrid Online Reinforcement and Imitation Learning for LLMs: Formulations and Algorithms
Datasheets for Machine Learning Sensors
A GA Based approach for selection of local features for recognition of handwritten Bangla numerals
DoorGym: A Scalable Door Opening Environment And Baseline Agent
A registration method for reduced basis problems using linear optimal transport
Linear tSNE optimization for the Web
PIP: Positional-encoding Image Prior
Voronoi Diagrams of Arbitrary Order on the Sphere
Advanced Cyberattack Detection in Internet of Medical Things (IoMT) Using Convolutional Neural Networks
Scout: An Experienced Guide to Find the Best Cloud Configuration
Gender-Specific Patterns in the Artificial Intelligence Scientific Ecosystem
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation
A simpler QPTAS for scheduling jobs with precedence constraints
Joint wireless and computing resource management with optimal slice selection in in-network-edge metaverse system
Correlation filter tracking with adaptive proposal selection for accurate scale estimation
Online Camera-to-ground Calibration for Autonomous Driving
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation
GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents
Interacting with New York City Data by HoloLens through Remote Rendering
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
RF4D:Neural Radar Fields for Novel View Synthesis in Outdoor Dynamic Scenes
Iterative Model-Based Reinforcement Learning Using Simulations in the Differentiable Neural Computer
RCD-IoT: Enabling Industrial Monitoring and Control with Resource-Constrained Devices UnderHigh Packet Transmission Rates
DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training
A Deep Learning Approach to Predict the Fall [of Price] of Cryptocurrency Long Before its Actual Fall
Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy
"Vironment": An Art of Wearable Social Distancing
Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee
Discriminative Pre-training for Low Resource Title Compression in Conversational Grocery
Hitting times for non-backtracking random walks
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode
Efficient data hashing with structured binary embeddings
Pitfalls of Rule- and Model-based Verifiers - A Case Study on Mathematical Reasoning
Language-guided Semantic Style Transfer of 3D Indoor Scenes
A Deep Look Into - Automated Lung X-Ray Abnormality Detection System
Clustering with Iterated Linear Optimization
Formalizing the Confluence of Orthogonal Rewriting Systems
Distributionally Robust Optimization
Using Mode Connectivity for Loss Landscape Analysis
Predicting Actions to Help Predict Translations
ReViSE: Towards Reason-Informed Video Editing in Unified Models with Self-Reflective Learning
Review of Machine Learning for Micro-Electronic Design Verification
On Simplified 3D Finite Element Simulations of Three-core Armored Power Cables
Smart Gradient - An Adaptive Technique for Improving Gradient Estimation
Inclusive Universities. Evidence from the Erasmus Program
Path-Augmented Graph Transformer Network
Zero-Shot Cross-Lingual Transfer using Prefix-Based Adaptation
The merits of Universal Language Model Fine-tuning for Small Datasets - a case with Dutch book reviews
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM
Actionable Cybersecurity Notifications for Smart Homes: A User Study on the Role of Length and Complexity
Energy-efficient Resource Allocation in Mobile Edge Computing with Multiple Relays
GAN'SDA Wrap: Geographic And Network Structured Data on surfaces that Wrap around
Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent - an Open Problem
Query Based Construction of Chronic Disease Datasets
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing
LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Composites
Dwarf in a Giant: Enabling Scalable, High-Resolution HPC Energy Monitoring for Real-Time Profiling and Analytics
Reinforcement Twinning for Hybrid Control of Flapping-Wing Drones
Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking
A Formalism and Library for Database Visualization
Semi-structured LLM Reasoners Can Be Rigorously Audited
A Data-Centric Approach For Dual-Arm Robotic Garment Flattening
Domain-Independent Deception: Definition, Taxonomy and the Linguistic Cues Debate
Cross-Validation for Training and Testing Co-occurrence Network Inference Algorithms
Distributed Quantization for Compressed Sensing
RuDaS: Synthetic Datasets for Rule Learning and Evaluation Tools
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks
Correction Focused Language Model Training for Speech Recognition
Compact Multi-level-prior Tensor Representation for Hyperspectral Image Super-resolution
V-Formation via Model Predictive Control
Interpretable machine learning: definitions, methods, and applications
An Iterative Regression Approach for Face Pose Estimation from RGB Images
Contextualizing the global relevance of local land change observations
Tactical Patterns for Grassroots Urban Repair
BERTrend: Neural Topic Modeling for Emerging Trends Detection
RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation
Describing and Modeling of Video-on-Demand Service with the Usage of Multi-Layer Graph
MoRel: Long-Range Flicker-Free 4D Motion Modeling via Anchor Relay-based Bidirectional Blending with Hierarchical Densification
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection
Assessing Mobile Learning System Performance in Indonesia: Reports of the Model Development and Its Instrument Testing
Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning
A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models
Fast Methods for Solving the Cluster Containment Problem for Phylogenetic Networks
Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing
Learning the Boundary of Inductive Invariants
Ellipsoidal Density-Equalizing Map for Genus-0 Closed Surfaces
Signal-First Architectures: Rethinking Front-End Reactivity
Visual Adversarial Attack on Vision-Language Models for Autonomous Driving
Polishness of some topologies related to automata (Extended version)
Nexus Authorization Logic (NAL): Logical Results
Model-based Testing of Mobile Systems - An Empirical Study on QuizUp Android App
A Systematic Review of Technical Defenses Against Software-Based Cheating in Online Multiplayer Games
Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations
Spanning Tree Enumeration in 2-trees: Sequential and Parallel Perspective
Full Text Searching in the Astrophysics Data System
A Comprehensive Evaluation of Machine Learning Techniques for Cancer Class Prediction Based on Microarray Data
From Words to Workflows: Automating Business Processes
Neural Image Unfolding: Flattening Sparse Anatomical Structures using Neural Fields
Thwarting finite difference adversarial attacks with output randomization
Capacity Allocation and Pricing Strategies for Wireless Femtocell Services
On Jacob Ziv's Individual-Sequence Approach to Information Theory
Research Focused Software Development Kits and Wearable Devices in Physical Activity Research
Send to which account? Evaluation of an LLM-based Scambaiting System
Computer Model of a "Sense of Humour". I. General Algorithm
Active Learning for Domain Adaptation: An Energy-based Approach
Short Decidability Proof for DPDA Language Equivalence via 1st Order Grammar Bisimilarity
Degrees of Freedom of Spatial Self-Interference Suppression for In-Band Full-Duplex with Inter-node Interference
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation
Congestion bounds via Laplacian eigenvalues and their application to tensor networks with arbitrary geometry
Machine Learning for Early Detection of Meningitis: Stacked Ensemble Learning with EHR Data
EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations
CharGen: High Accurate Character-Level Visual Text Generation Model with MultiModal Encoder
AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models
Weakly Supervised Localization Using Background Images
Dataset creation for supervised deep learning-based analysis of microscopic images - review of important considerations and recommendations
Reinforced Abstractive Summarization with Adaptive Length Controlling
The troublesome kernel: why deep learning for inverse problems is typically unstable
Convex Relaxation of Optimal Power Flow, Part I: Formulations and Equivalence
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Generalized Entropy Agglomeration
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective
The Chai Platform's AI Safety Framework
Deep Koopman Economic Model Predictive Control of a Pasteurisation Unit
Online Learning Demands in Max-min Fairness
MAPGN: MAsked Pointer-Generator Network for sequence-to-sequence pre-training
Investigating the Role of Feed-Forward Networks in Transformers Using Parallel Attention and Feed-Forward Net Design
MOMEMTO: Patch-based Memory Gate Model in Time Series Foundation Model
Sparse inversion for derivative of log determinant
[Extended] Ethics in Computer Security Research: A Data-Driven Assessment of the Past, the Present, and the Possible Future
Deep convolutional neural network for shape optimization using level-set approach
The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling
Alternating Training-based Label Smoothing Enhances Prompt Generalization
Solid shell prism elements based on hierarchical, heterogeneous, and anisotropic shape functions
Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures
Toward Automatic Understanding of the Function of Affective Language in Support Groups
Audio Signal Processing Using Time Domain Mel-Frequency Wavelet Coefficient
Stable Marriage Problems with Ties and Incomplete Preferences: An Empirical Comparison of ASP, SAT, ILP, CP, and Local Search Methods
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments
The Role of Author Identities in Peer Review
Exact ℓ ∞ -separation radius of Sobol' sequences in dimension 2
A Unified Network Equilibrium for E-Hailing Platform Operation and Customer Mode Choice
Probing the Representational Geometry of Color Qualia: Dissociating Pure Perception from Task Demands in Brains and AI Models
Entropy and error: density limit for magnetic data storage
ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck
Effective Resistance-based Germination of Seed Sets for Community Detection
GA3C: GPU-based A3C for Deep Reinforcement Learning
On the Complexity of Nondeterministically Testable Hypergraph Parameters
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction
Accuracy enhancement method for speech emotion recognition from spectrogram using temporal frequency correlation and positional information learning through knowledge transfer
Complex base numeral systems
All Your Cards Are Belong To Us: Understanding Online Carding Forums
Pseudo Polynomial-Time Top-k Algorithms for d-DNNF Circuits
Schmidt quantum compressor
Introduction to Decentralization and Smart Contracts
Mixture of Low-rank Experts for Transferable AI-Generated Image Detection
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
Assertion Detection in Multi-Label Clinical Text using Scope Localization
Characterisation of observability and controllability for nonuniformly sampled discrete systems
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images
Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach
Sampled-Data Observer Design for Linear Kuramoto-Sivashinsky Systems with Non-Local Output
IMASHRIMP: Automatic White Shrimp (Penaeus vannamei) Biometrical Analysis from Laboratory Images Using Computer Vision and Deep Learning
Flowgen: Flowchart-Based Documentation for C++ Codes
Borders, Palindrome Prefixes, and Square Prefixes
Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
A review of modern surveillance techniques and their presence in our society
The Software Engineering Simulations Lab: Agentic AI for RE Quality Simulations
A Berkeley View of Teaching CS at Scale
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning
Comparative Analysis of Content-based Personalized Microblog Recommendations [Experiments and Analysis]
Where you go is who you are - A study on machine learning based semantic privacy attacks
Stability of SGD: Tightness Analysis and Improved Bounds
Myopic Policies for Non-Preemptive Scheduling of Jobs with Decaying Value
A Parallel Dynamic Epistemic Perspective over Muddy Children Puzzle
FDCT: Frequency-Aware Decomposition and Cross-Modal Token-Alignment for Multi-Sensor Target Classification
Towards Carbon-Free Electricity: A Comprehensive Flow-Based Framework for Power Grid Carbon Accounting and Decarbonization
Formation of coalition structures as a non-cooperative game
DUFormer: A Novel Architecture for Power Line Segmentation of Aerial Images
Eventually LIL Regret: Almost Sure ln ln T Regret for a sub-Gaussian Mixture on Unbounded Data
Lower Bounds on Rate of Convergence of Matrix Products in All Pairs Shortest Path of Social Network
Monte Carlo Policy Gradient Method for Binary Optimization
A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction
Improving Deep Learning for HAR with shallow LSTMs
Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
A method of online traction parameter identification and mapping
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators
MAC: Mining Activity Concepts for Language-based Temporal Localization
A New Upper Bound for the VC-Dimension of Visibility Regions
Improving Pre-trained Language Models' Generalization
Efficiently Evolving Swarm Behaviors Using Grammatical Evolution With PPA-style Behavior Trees
On adversarial patches: real-world attack on ArcFace-100 face recognition system
End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents
Bootstrapping a User-Centered Task-Oriented Dialogue System
Understanding Recommender Dynamics driving Box Office Revenues
MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation
Generating Query Focused Summaries without Fine-tuning the Transformer-based Pre-trained Models
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards
GRSUS: Gerenciamento De Recursos De Saúde, Um Estudo Sob A Ótica Da Portaria GM/MS 1631/2015 No Estado do Pará
A Multiple Network Approach to Corporate Governance
Spanish Facebook Posts as an Indicator of COVID-19 Vaccine Hesitancy in Texas
A novel non-linear transformation based multi-user identification algorithm for fixed text keystroke behavioral dynamics
Risks of AI Foundation Models in Education
Greedy recursion parameter selection for the One-Way Navier-Stokes (OWNS) equations
An Improved Nonlinear Stability Assessment Methodology For Type-4 Wind Turbines via Time Reversal Trajectory
A Lightweight Parallel Framework for Blind Image Quality Assessment
Optimization of anemia treatment in hemodialysis patients via reinforcement learning
Weakly-supervised 3D Shape Completion in the Wild
Some Optimization Solutions for Relief Distribution
Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training
A case for data valuation transparency via DValCards
Interpretable neural architecture search and transfer learning for understanding sequence dependent enzymatic reactions
Physics-Informed Reward Machines
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
Enhanced Load Balancing Approach to Avoid Deadlocks in Cloud
Neutrosophic Relational Data Model
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance
Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative
Fractal and multifractal properties of electrographic recordings of human brain activity
Model Selection as a Multiple Testing Procedure: Improving Akaike's Information Criterion
MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations
Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification
Revolutionizing Genomics with Reinforcement Learning Techniques
Four-valued monitorability of ω-regular languages
An energy-based discontinuous Galerkin method for dynamic Euler-Bernoulli beam equations
Because we have LLMs, we Can and Should Pursue Agentic Interpretability
Dual-former: Hybrid Self-attention Transformer for Efficient Image Restoration
Polar codes for secret sharing
Modeling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 through a Real City-Scale Contact Network
Visual SLAM with Network Uncertainty Informed Feature Selection
Where there's a will there's a way: ChatGPT is used more for science in countries where it is prohibited
An improved 2D time-to-collision for articulated vehicles: predicting sideswipe and rear-end collisions
Replacing CAPTCHA with XNO micropayments
A posteriori error estimation for parabolic problems with dynamic boundary conditions
Duality in STRIPS planning
Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scale
Collaborative Tagging and Semiotic Dynamics
ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization
Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs
Video-based Generalized Category Discovery via Memory-Guided Consistency-Aware Contrastive Learning
POP909: A Pop-song Dataset for Music Arrangement Generation
A token-based central queue with order-independent service rates
Emotional Analysis of Fashion Trends Using Social Media and AI: Sentiment Analysis on Twitter for Fashion Trend Forecasting
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution
Multiple Inputs Neural Networks for Medicare fraud Detection
Extending BrainScaleS OS for BrainScaleS-2
Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
Optimizing FPGA and Wafer Test Coverage with Spatial Sampling and Machine Learning
Seshat: A tool for managing and verifying annotation campaigns of audio data
A Hybrid Control Algorithm for Gradient-Free Optimization using Conjugate Directions
Achieving positive rates with predetermined dictionaries
Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python
A Decidable Bundled Fragment of First-Order Modal Logic Without Finite Model Property
Scalable Causal Discovery from Recursive Nonlinear Data via Truncated Basis Function Scores and Tests
Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds
SABRE: Robust Bayesian Peer-to-Peer Federated Learning
Interpretability of machine learning based prediction models in healthcare
Globally Minimal Defensive Alliances: A Parameterized Perspective
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning
Hypergraph Diffusion for High-Order Recommender Systems
On the strictness of the quantifier structure hierarchy in first-order logic
From low resource information extraction to identifying influential nodes in knowledge graphs
Towards better visualizations of urban sound environments: insights from interviews
A Recipe for Generating 3D Worlds From a Single Image
On tractable query evaluation for SPARQL
Implementations of the Universal Birkhoff Theory for Fast Trajectory Optimization
Efficient Bipartite Graph Embedding Induced by Clustering Constraints
Success Exponent of Wiretapper: A Tradeoff between Secrecy and Reliability
Bifix codes and Sturmian words
Seq vs Seq: An Open Suite of Paired Encoders and Decoders
Writing on the Facade of RWTH ICT Cubes: Cost Constrained Geometric Huffman Coding
How Much Data is Needed for Channel Knowledge Map Construction?
Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations