yusuke1997/dblp-id-title huggingface dataset:
TiniScript: A Simplified Language for Educational Robotics
Retraining DistilBERT for a Voice Shopping Assistant by Using Universal Dependencies
Pauli measurements are not optimal for single-copy tomography
An ultra-low-power sigma-delta neuron circuit
Greedy Layerwise Learning Can Scale to ImageNet
PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods
EPIE Dataset: A Corpus For Possible Idiomatic Expressions
Self-Learning Symmetric Multi-view Probabilistic Clustering
Linear Complexity of Binary Interleaved Sequences of Period 4n
Machine Learning in Near-Field Communication for 6G: A Survey
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT
IDLL: Inverse Depth Line based Visual Localization in Challenging Environments
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems
The Impact of Time Step Frequency on the Realism of Robotic Manipulation Simulation for Objects of Different Scales
Federated Distillation based Indoor Localization for IoT Networks
Monotonicity of Multi-Term Floating-Point Adders
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks
UAVs with Reconfigurable Intelligent Surfaces: Applications, Challenges, and Opportunities
Efficient Ambient LoRa Backscatter with On-Off Keying Modulation
Decomposed Temporal Dynamic CNN: Efficient Time-Adaptive Network for Text-Independent Speaker Verification Explained with Speaker Activation Map
Outsourcing SAT-based Verification Computations in Network Security
Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses
Network Coding Capacity: A Functional Dependence Bound
Health Information Retrieval - State of the art report
FineWAVE: Fine-Grained Warning Verification of Bugs for Automated Static Analysis Tools
Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models
Arbitrary Facial Attribute Editing: Only Change What You Want
FLEET: A Federated Learning Emulation and Evaluation Testbed for Holistic Research
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
Heterogeneous Ensemble for ESG Ratings Prediction
HoughNet: Integrating near and long-range evidence for visual detection
Control-Informed Reinforcement Learning for Chemical Processes
A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification
Bisimulation and p-morphism for branching-time logics with indistinguishability relations
Social Contagion and Associative Diffusion in Multilayer Network
Location-Based Output Adaptation for Enhanced Actuator Performance using Frequency Sweep Analysis
Twitter Attribute Classification with Q-Learning on Bitcoin Price Prediction
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
Variational Inference as Iterative Projection in a Bayesian Hilbert Space
Logical Classification of Partially Ordered Data
Turning Threat into Opportunity: DRL-Powered Anti-Jamming via Energy Harvesting in UAV-Disrupted Channels
Some remarks on robustness of sample-and-hold stabilization
The Learnability of Unknown Quantum Measurements
Robust Graph Neural Networks for Stability Analysis in Dynamic Networks
Caching Techniques for Reducing the Communication Cost of Federated Learning in IoT Environments
Improved Regularity Model-based EDA for Many-objective Optimization
Efficient Low-rank Multimodal Fusion with Modality-Specific Factors
Toward Fuzzy block theory
Optimal Rate for Irregular LDPC Codes in Binary Erasure Channel
On the Expressive Power of Self-Attention Matrices
Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation
Can Representation Gaps Be the Key to Enhancing Robustness in Graph-Text Alignment?
Hop: Heterogeneity-Aware Decentralized Training
Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD
Physical knowledge improves prediction of EM Fields
Investigating the Influence of Computer Anxiety on the Academic Performance of Junior Secondary School Students in Computer Studies in Nigeria
Gradient-based Uncertainty for Monocular Depth Estimation
Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction
Relaxing the Constraints on Predictive Coding Models
Integrated In-vehicle Monitoring System Using 3D Human Pose Estimation and Seat Belt Segmentation
CcHarmony: Color-checker based Image Harmonization Dataset
Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference
Sending Information Through Status Updates
CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step
Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations
SAIM: Scalable Analog Ising Machine for Solving Quadratic Binary Optimization Problems
A Context Aware and Self Adaptation Strategy for Cloud Service Selection and Configuration in Run Time
TIP: Text-Driven Image Processing with Semantic and Restoration Instructions
A Dual-Motor Actuator for Ceiling Robots with High Force and High Speed Capabilities
Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks
Gliders2012: Development and Competition Results
Multimodal Graph Benchmark
CoCo4D: Comprehensive and Complex 4D Scene Generation
Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis
Unraveling the Rank-Size Rule with Self-Similar Hierarchies
A Graph Signal Processing Framework for Hallucination Detection in Large Language Models
An Optimizing Just-In-Time Compiler for Rotor
Adversarial machine learning for protecting against online manipulation
Partiality, Revisited: The Partiality Monad as a Quotient Inductive-Inductive Type
EGEON: Software-Defined Data Protection for Object Storage
Open Datasets for AI-Enabled Radio Resource Control in Non-Terrestrial Networks
Variational Quantum Algorithms
Optimized Scheduling and Positioning of Mobile Manipulators in Collaborative Applications
On The Use of Conjugate Teager-Kaiser Energy Operators with Matched Filters
Enhancing Interaction with Augmented Reality through Mid-Air Haptic Feedback: Architecture Design and User Feedback
Chance-Constrained Outage Scheduling using a Machine Learning Proxy
An Energy Efficient Authentication Scheme using Chebyshev Chaotic Map for Smart Grid Environment
On Sharing Private Data with Multiple Non-Colluding Adversaries
Air Quality PM2.5 Index Prediction Model Based on CNN-LSTM
Concurrent Deterministic Skiplist and Other Data Structures
InsightNet: Structured Insight Mining from Customer Feedback
On Secure Degrees of Freedom of the MIMO Interference Channel with Local Output Feedback
Numerical conservation laws of time fractional diffusion PDEs
Toward an Unbiased Collective Memory for Efficient LLM-Based Agentic 6G Cross-Domain Management
Robust Neural Networks using Randomized Adversarial Training
Sleep Apnea Detection on a Wireless Multimodal Wearable Device Without Oxygen Flow Using a Mamba-based Deep Learning Approach
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation
DRBD-Mamba for Robust and Efficient Brain Tumor Segmentation with Analytical Insights
Improving Insurance Catastrophic Data with Resampling and GAN Methods
Discreetly Exploiting Inter-session Information for Session-based Recommendation
Apricot variety classification using image processing and machine learning approaches
A survey on applications of augmented, mixed and virtual reality for nature and environment
Neural Network Training With Homomorphic Encryption
RoBERTa-wwm-ext Fine-Tuning for Chinese Text Classification
Generation-Guided Multi-Level Unified Network for Video Grounding
Graph Neural Diffusion Networks for Semi-supervised Learning
Efficient & Correct Predictive Equivalence for Decision Trees
Multiparameter Monitoring and Fault Indication Using Inductive Power Transfer System
Error-correcting codes and absolutely maximally entangled states for mixed dimensional Hilbert spaces
Towards Efficient Modelling of String Dynamics: A Comparison of State Space and Koopman based Deep Learning Methods
A Comparative Study of Blending Algorithms for Realtime Panoramic Video Stitching
Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study
Focusing Image Generation to Mitigate Spurious Correlations
Leveraging Class Similarity to Improve Deep Neural Network Robustness
Variational Low-Rank Adaptation Using IVON
Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need
Maximum Matchings in Random Bipartite Graphs and the Space Utilization of Cuckoo Hashtables
Column and row subset selection using nuclear scores: algorithms and theory for Nyström approximation, CUR decomposition, and graph Laplacian reduction
GreenMalloc: Allocator Optimisation for Industrial Workloads
Towards Hybrid Two-Phase Modelling Using Linear Domain Decomposition
Person re-identification with fusion of hand-crafted and deep pose-based body region features
Contract-Backed Digital Cash
Associate submersions and qualitative properties of nonlinear circuits with implicit characteristics
Improving semantic understanding in speech language models via brain-tuning
Intensional Inheritance Between Concepts: An Information-Theoretic Interpretation
ZeroBP: Learning Position-Aware Correspondence for Zero-shot 6D Pose Estimation in Bin-Picking
Zero-Shot Dual Machine Translation
Adapting LLM Agents Through Communication
Rethinking Directional Integration in Neural Radiance Fields
Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis
Geo-Registration of Terrestrial LiDAR Point Clouds with Satellite Images without GNSS
Using Large Language Models for Student-Code Guided Test Case Generation in Computer Science Education
Efficient channel charting via phase-insensitive distance computation
Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator
Flow-level Characteristics of Spam and Ham
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification
LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel Segmentation
Set Consensus: Captured by a Set of Runs with Ramifications
Antithetic Multilevel Particle Filters
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
The Impact of Artificial Intelligence on Traditional Art Forms: A Disruption or Enhancement
A Multi-Agent AI Framework for Immersive Audiobook Production through Spatial Audio and Neural Narration
Rice grain disease identification using dual phase convolutional neural network-based system aimed at small dataset
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition
README: Robust Error-Aware Digital Signature Framework via Deep Watermarking Model
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers
Demystifying Feature Engineering in Malware Analysis of API Call Sequences
Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
On the Performance Evaluation and Analysis of the Hybridised Bittorrent Protocol with Partial Mobility Characteristics
High Precision Differentiation Techniques for Data-Driven Solution of Nonlinear PDEs by Physics-Informed Neural Networks
Meta-Reinforcement Learning for Heuristic Planning
Corona product of signed graphs and its application to signed network modelling
AOT: Pushing the Efficiency Boundary of Main-memory Triangle Listing
Reconfiguring colourings of graphs with bounded maximum average degree
The Impact of Correlated Metrics on Defect Models
On correlation distribution of Niho-type decimation d=3(p m -1)+1
BARD: Reducing Write Latency of DDR5 Memory by Exploiting Bank-Parallelism
How Alignment Shrinks the Generative Horizon
IoT-Based Air Quality Monitoring System with Machine Learning for Accurate and Real-time Data Analysis
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks
WangchanThaiInstruct: An instruction-following Dataset for Culture-Aware, Multitask, and Multi-domain Evaluation in Thai
Hybrid Multi-Criteria Preference Ranking by Subsorting
MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs
A Novel Traffic Rate Measurement Algorithm for QoE-Aware Video Admission Control
More Is Better: Large Scale Partially-supervised Sentiment Classification - Appendix
Rethinking CLIP-based Video Learners in Cross-Domain Open-Vocabulary Action Recognition
New Quantum Generalized Reed-Solomn Codes over Finite Fields
Learning Temporal Logical Properties Discriminating ECG models of Cardiac Arrhytmias
Scalable Visibility Color Map Construction in Spatial Databases
Video-Based Pedestrian Attribute Recognition
Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets
Non-submodular Visual Attention for Robot Navigation
Low-Rank GEMM: Efficient Matrix Multiplication via Low-Rank Approximation with FP8 Acceleration
Automated machine learning for secure key rate in discrete-modulated continuous-variable quantum key distribution
Detecting data-driven robust statistical arbitrage strategies with deep neural networks
Stability and convergence of the penalty formulation for nonlinear magnetostatics
On The Effect Of Coding Artifacts On Acoustic Scene Classification
Neural Search: Learning Query and Product Representations in Fashion E-commerce
Graph-S3: Enhancing Agentic textual Graph Retrieval with Synthetic Stepwise Supervision
Improving Detection of ChatGPT-Generated Fake Science Using Real Publication Text: Introducing xFakeBibs a Supervised-Learning Network Algorithm
Best of two worlds: Cartesian sampling and volume computation for distance-constrained configuration spaces using Cayley coordinates
Graph neural induction of value iteration
HuBERTopic: Enhancing Semantic Representation of HuBERT through Self-supervision Utilizing Topic Model
Streaming Compression of Scientific Data via weak-SINDy
Thinking in a Crowd: How Auxiliary Information Shapes LLM Reasoning
AI for Trustworthiness! Credible User Identification on Social Web for Disaster Response Agencies
On Granular Knowledge Structures
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection
Q#: Enabling scalable quantum computing and development with a high-level domain-specific language
Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation
NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities
Compute-and-forward relaying with LDPC codes over QPSK scheme
Measuring the quality of Synthetic data for use in competitions
Deduction of the Bromilow's time-cost model from the fractal nature of activity networks
Symbotunes: unified hub for symbolic music generative models
Exploring FMCW Radars and Feature Maps for Activity Recognition: A Benchmark Study
Advances in Quantum Deep Learning: An Overview
Pipelining Split Learning in Multi-hop Edge Networks
The UN Security Council debates 1995-2017
Architectural Stability Reasoning using Self-Awareness Principles: Case of Self-Adaptive Cloud Architectures
First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis
SecurePose: Automated Face Blurring and Human Movement Kinematics Extraction from Videos Recorded in Clinical Settings
Simulation-based Bayesian inference for multi-fingered robotic grasping
Interprocedural Semantic Change-Impact Analysis using Equivalence Relations
Graph-based Trajectory Prediction with Cooperative Information
Sharp stability for finite difference approximations of hyperbolic equations with boundary conditions
Effectiveness of Large Multimodal Models in Detecting Disinformation: Experimental Results
Robot Skill Learning Via Classical Robotics-Based Generated Datasets: Advantages, Disadvantages, and Future Improvement
Black Hole complexity, unscrambling, and stabilizer thermal machines
Design-Inclusive Language Models for Responsible Information Access
Using machine learning to speed up new and upgrade detector studies: a calorimeter case
Learning with Latent Factors in Time Series
Enhanced Balancing GAN: Minority-class Image Generation
Boosting segmentation with weak supervision from image-to-image translation
Benign Overfitting for α Sub-exponential Input
How much can one learn from a single solution of a PDE?
DF-Calib: Targetless LiDAR-Camera Calibration via Depth Flow
LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation
Convolutional Nonlinear Dictionary with Cascaded Structure Filter Banks
Socratic Students: Teaching Language Models to Learn by Asking Questions
Supporting Experts with a Multimodal Machine-Learning-Based Tool for Human Behavior Analysis of Conversational Videos
The Value of Nullspace Tuning Using Partial Label Information
Multilevel Graph Reinforcement Learning for Consistent Cognitive Decision-making in Heterogeneous Mixed Autonomy
Worst case efficient single and multiple string matching in the Word-RAM model
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
A Machine Learning approach to enhance the SUPG stabilization method for advection-dominated differential problems
Generation Matrix: An Embeddable Matrix Representation for Hierarchical Trees
On Adversarial Robustness of Language Models in Transfer Learning
Securing Tag-based recommender systems against profile injection attacks: A comparative study
A general fractional total variation-Gaussian (GFTG) prior for Bayesian inverse problems
Strategic Costs of Perceived Bias in Fair Selection
GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking
Evaluation of the DiversiNews diversified news service
Reasoning in a Hierarchical System with Missing Group Size Information
Exploring Modern GPU Memory System Design Challenges through Accurate Modeling
ARDOP: A Versatile Humanoid Robotic Research Platform
Understanding the Abstract Dialectical Framework (Preliminary Report)
Reward Modeling with Weak Supervision for Language Models
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems
Synonymous Generalization in Sequence-to-Sequence Recurrent Networks
Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles
Extractive text summarisation of Privacy Policy documents using machine learning approaches
Data Sensor Fusion In Digital Twin Technology For Enhanced Capabilities In A Home Environment
On the use of uncertainty in classifying Aedes Albopictus mosquitoes
Joint Radar-Communication Waveform Design Based on Composite Modulation
DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions
Towards Formal Fault Tree Analysis using Theorem Proving
Unitary canonical forms over Clifford algebras, and an observed unification of some real-matrix decompositions
The Tempered Finite Element Method
Matching Underwater Sonar Images by the Learned Descriptor Based on Style Transfer Method
HEALNet - Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data
Improving Learning-to-Defer Algorithms Through Fine-Tuning
Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection
Accurate pedestrian localization in overhead depth images via Height-Augmented HOG
From Model to Breach: Towards Actionable LLM-Generated Vulnerabilities Reporting
Towards Optimizing the Costs of LLM Usage
A Deterministic Polylogarithmic Competitive Algorithm for Matching with Delays
Instance-Level Data-Use Auditing of Visual ML Models
SGCCNet: Single-Stage 3D Object Detector With Saliency-Guided Data Augmentation and Confidence Correction Mechanism
Topological approach to solve P versus NP
Face Deblurring using Dual Camera Fusion on Mobile Phones
SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators
Critical Sets of PL and Discrete Morse Theory: a Correspondence
Evaluating CxG Generalisation in LLMs via Construction-Based NLI Fine Tuning
HPSLPred: An Ensemble Multi-label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source
Manikin-Recorded Cardiopulmonary Sounds Dataset Using Digital Stethoscope
Triangular body-cover model of the vocal folds with coordinated activation of five intrinsic laryngeal muscles with applications to vocal hyperfunction
Refusing Safe Prompts for Multi-modal Large Language Models
Towards an efficient framework for Data Extraction from Chart Images
Synthetic Data for Face Recognition: Current State and Future Prospects
The Single Source Two Terminal Network with Network Coding
Breaking the Storage-Compute Bottleneck in Billion-Scale ANNS: A GPU-Driven Asynchronous I/O Framework
Monarch: A Durable Polymorphic Memory For Data Intensive Applications
A Closer Look at Data Bias in Neural Extractive Summarization Models
HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models
Volume-Independent Music Matching by Frequency Spectrum Comparison
SNR-Progressive Model with Harmonic Compensation for Low-SNR Speech Enhancement
A Parametric Framework for Reversible Pi-Calculi
Agentic Software Engineering: Foundational Pillars and a Research Roadmap
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Approximation of Optimal Control Problems for the Navier-Stokes equation via multilinear HJB-POD
AUC Maximization with K-hyperplane
Unified Kernel-Segregated Transpose Convolution Operation
Real-time Non-line-of-sight Imaging with Two-step Deep Remapping
Quadratic Detection in Noncoherent Massive SIMO Systems over Correlated Channels
Automatically Evaluating the Paper Reviewing Capability of Large Language Models
Opting Out of Generative AI: a Behavioral Experiment on the Role of Education in Perplexity AI Avoidance
Hybrid Precoding for Multi-Group Physical Layer Multicasting
Clustering Algorithm for Gujarati Language
Leveraging directed causal discovery to detect latent common causes
A-Evac: the evacuation simulator for stochastic environment
On numerical stabilization in modeling double-diffusive viscous fingering
Network Slicing for Vehicular Communication
Criticizing Ethics According to Artificial Intelligence
Bayesian Group Nonnegative Matrix Factorization for EEG Analysis
SST-ReversibleNet: Reversible-prior-based Spectral-Spatial Transformer for Efficient Hyperspectral Image Reconstruction
Measurement of Large Forces and Deflections in Microstructures
Gamification of Enterprise Systems: A Synthesis of Mechanics, Dynamics, and Risks
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions
Integrating UML with Service Refinement for Requirements Modeling and Analysis
Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model
Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models
Experiences with efficient methodologies for teaching computer programming to geoscientists
Chatting Up Attachment: Using LLMs to Predict Adult Bonds