yusuke1997/dblp-id-title huggingface dataset:
Towards better urban intelligence: representation learning techniques for geospatial data analytics
Exploiting side information for effective recommendation
Efficient and rich graph clustering
Enhancing the performance of Wi-Fi system by exploiting physical layer information
Lightweight privacy preservation techniques for deep learning and inference in Internet of Things
Securing untrusted memories in embedded systems
Towards cost-driven control and management for cloud centric media network
Information concierge for the world wide web
Secure data mining of outsourced data
Ontology alignment for knowledge representation and integration : applications to biomedical text
Clustering and heterogeneous information fusion for social media theme discovery and associative mining
Time frequency analysis of functional MR images
On domain knowledge organization and extraction in software engineering
Mixture analysis and kernel density estimation with applications to image segmentation and retrieval
Modeling and optimization of photovoltaic systems under partially shaded and rapidly changing conditions
Persuasive teachable agent for intergenerational learning
VLSI efficient architectures for triple moduli based RNS computations
Efficient and fault tolerant HLA-based simulation
Search based face annotation
Tattoos in forensics: retrieval, detection and synthesis
Facial expression recognition in the spatio-temporal domain
Leveraging deep learning techniques to secure software development
Structured pointing networks for natural language understanding
Effective graph-based algorithms for weak motif discovery in genomic sequences
Efficient and resilient multimedia streaming on peer-to-peer networks
Constraint satisfaction approach to product configuration with cost estimation
Methods for rapid selection of processors for constraint-aware embedded systems
Computational prediction of cell fates by systems modelling of cellular signalling pathways
Implementation attacks on post-quantum lattice-based cryptography
Scalable techniques for extending lifetime reliability of manycore systems
Gene and sample selection for cancer identification
High speed image processing for endoscopic procedures
Exploiting auxiliary data for designing reliable classifier in domain adaptation
Attention mechanism optimization for sub-symbolic-based and neural-symbolic-based natural language processing
Parallel and distributed algorithms for computational biology
Ontology for multimedia content descriptions
Structured prediction for feature selection and performance evaluation
Effective techniques for association rule mining and associative classification
Machine compatible script for fast text entry of text using handwriting
Agent mediated interactive storytelling
Distributed approaches to motion planning and control in multi-robot systems
NextDB: a native XML database system
Information learning approach
Efficient query processing on large graphs
Commitment and coordination in boundedly rational interactions
Stochastic optimisation of unmanned aerial vehicle assisted package delivery planning
Synchronization issues in distributed simulation using Commercial Off-The-Shelf (COTS) simulation packages
An agent-based framework for problem solving in symbiotic simulation systems
Robust incentive mechanisms for efficient and secure coded edge intelligence
WHOM: a data model and algebra for a web warehouse
Self-learning shape recognition in medical images
Geometric processing of compound T-spline surfaces
Exploring effective data representation for saliency detection in image and video
Software defined networking and virtual machine placement in data centers
Reconfigurable low complexity digital filter banks for software radio receivers
Efficient optimization of network metrics in large uncertain graphs
A hebbian based rule reduction approach to neuro-fuzzy modeling
Learning based signal quality assessment for multimedia communications
Advanced brain computer interface
Spatio-temporal patterns and pedestrian simulation
Methods and systems for ontology learning, exploitation, and analysis
Initial value problem of discrete geodesics and its application
Exploiting Induced skin electric potential for body-area IoT system functions
Mapping large-scale systems on to high density FPGAs
Modelling and simulation of supply chain resilience using complex system approaches
Visual detection and crowd density modeling of pedestrians
Tools and algorithms for high-level algorithm mapping to FPGA
Autonomous deep learning for continual learning in complex data stream environment
Data-efficient domain adaptation for pretrained language models
Edge-based quality-of-service architecture
Path capacity measurement and congestion control in heterogeneous network
Towards the design of robust incentive mechanisms to address subjectivity and dishonesty problems in agent reporting
Cooperation-aided solutions for data delivery in challenged wireless networks
Domain specific methods for procedural modeling of historical architecture
A service oriented HLA RTI on the grid
Towards robust inference against distribution shifts in computer vision
Sensing enhanced mobile computing with smart devices
Scalable XML change detection using relational databases
Framework for systematic design, analysis and evaluation of intrusion detection systems
Solving multi-agent path planning by local search algorithms
Enhancements of congestion controls for unicast and multicast over wireless networks
Discrete-event system abstractions for on-line logical and real-time hierarchical control
Probabilistic models and efficient algorithms for certain large-scale distributed networks
Design of a low-power, reconfigurable digital front-end for a multimode SDR handset
Brain computer interface for post-stroke motor rehabilitation
Vergence control for a biologically inspired binocular active vision system
Building generalizable models for discourse phenomena evaluation and machine translation
Efficient methods for querying and mining real-world graph data
Improving fairness in ATM ABR service with dynamic VC weights
Designing adversarial signals against three deep learning and non-deep learning methods
LT code: decoding algorithm and its applications
Uncovering individual's mobility patterns from GPS dataset
Towards characterization and detection of collusive reputation fraud in crowdsourced opinions
QoS-aware discovery of web services
Cost-effective and Qos-aware resource allocation for cloud computing
Mimo block spread CDMA: system architecture and performance analysis for high rate wireless systems
Sparse dynamic reorganising fuzzy neural networks
Vein identification for forensic investigation
Modelling, exploration and optimization of hardware accelerators for deep learning applications
Performance analysis and enhancements of adaptive algorithms and their applications
Audio pattern discovery and retrieval
Distance metric learning for multi-modal image retrieval and annotation
Visual signal coding and quality evaluation
Multimodal user interaction methods for virtual reality headsets
Uncertainty quantification for complex systems: application to the study of cities
Privacy preserving query processing on outsourced data via secure multiparty computation
Towards high-speed optical measurement of shape and deformation
Linear document processing
Modeling human-like non-rationality in social agents
Situation-aware trust management in multi-agent systems
Self-regulating interval type-2 neuro-fuzzy inference system for non-stationary EEG signal processing
The psychoacoustics and synthesis of singing harmony
Framework to support pricing on the internet
High performance multiply-accumulate unit for residue number system DSP core
Improving deep reinforcement learning with advanced exploration and transfer learning techniques
Energy efficient sensing and networking : a visible light perspective
Deep learning acceleration: from quantization to in-memory computing
Processing and analysis of DNA methylation and statistical integration with genetic and clinical data
Performance evaluation and improvement of IEEE 802.11 MAC protocol in wireless ad-hoc networks
Modeling user factors in multimedia preferences
Speaker diarization in meetings domain
Securing smart contracts with formal verification and automated program repair
Research and development of visualization using parallel processing
Modeling affective system and episodic memory for social companions
Advanced topics in weakly supervised learning
Evolutionary optimization for computationally expensive problems
Fundamental study on improving RFID system operational efficiency
Medical imaging algorithm research for diagnosis of ocular diseases
Towards inconspicuous security
Incorporating additional knowledge into image captioners
A self-reorganizing neuro-fuzzy associative machine for algorithmic financial time-series modeling
Remembrance agent: from theory to applications
Techniques for multi-standard cognitive radios on FPGAs
Learning algorithms in fuzzy cognitive maps
Enhancement of GSM codec for different language contexts
Exploiting spatial, temporal, and semantic information for point-of-interest recommendation
Differential privacy for survival analysis and user data collection
Context-aware next point-of-interest recommendation with uncertain check-ins
The analysis, detection and correction of flicker and stain artifact in degraded motion pictures
Rights violation detection in multi-level digital rights management systems
Constraint-oriented refinement-efficacious memetic algorithms for efficient optimization of computationally-expensive problems
Mining evolution of structure of semi-structured web data
Wire level encapsulation framework for increasing FPGA design productivity
Modelling the variability of brain structures, activation, and connectivity
Computational techniques for modeling non-player characters in games
Image registration: algorithms and applications
Semantic sensitive satellite image retrieval
Design and actuation of humanoid hands for natural grasping
Using deep learning for quality control in cyber-manufacturing
Context-aware pedestrian motion prediction
Efficient and practical algorithms for discrete geodesics
End-to-end congestion control over wireless networks : analysis and enhancements
New approaches for heterogeneous transfer learning
Algorithms for extracting text from degraded document images
Trajectory data simplification, similarity search and inference with deep learning
Coping with uncertainties in agent cooperation
Robust optimization and its applications in cognitive radio networks
Computer experiments for epidemiological studies : theory, methodology and models
Framework forensic examination computer systems
Algorithms for synthetic data release under differential privacy
Deep learning neural network approaches for one-dimensional structure prediction from protein sequences
Enhancements to knowledge discovery for effective business objectives
Hardware-assisted online defense against malware and exploits
On equalizer tap and antenna selection for UWB and MIMO systems with linear MMSE receivers
Game theoretic sponsored content management in mobile data market
Enhancing network access for highly mobile nodes
A high-speed accurate system for phase denoising and unwrapping
A generic bee colony optimization framework for combinatorial optimization problems
Spatial keyword querying beyond the single geo-textual object granularity
Query processing in publish/subscribe systems for textual data streams
Autonomous agents for distributed virtual worlds
Computational integrative genomics approach to refine breast cancer genetic grading and prognosis
Protocols for unconditionally computationally secure circuit computation obfuscation
Investigations in neural network learning using geometrical approach
Efficient temporal graph processing : shortest paths, closeness centralities and S-cliques
Sensing, allocation and trading of spectral resources in cognitive radio networks
Characterization of physicochemical environments of proteins
Efficient mining of group patterns for mobile users
Latent representation models for mining geo-spatial data
Design automation for partially reconfigurable adaptive systems
Synthesis of human and animal skin deformation
SoCFaSe: in quest for fast and secure SoC architectures
Cross layer design for RFID systems
A novel neurophysiologically-inspired self-organizing cerebellar memory framework
Relatively permanent pigmented or vascular skin marks (RPPVSM) for forensic identification
On-line portfolio selection
A dynamic data driven optimization system for yard crane management
Towards temporal sentence grounding in videos
Enhanced machine learning techniques for microarray cancer classification
A map-based model-driven testing framework for automated driving systems
Spam analysis and detection on microblog
Multi-core mixed-criticality real-time scheduling
Natural language processing as autoregressive generation
Harmonic fields based surface and volume mapping
Geometric primitive feature extraction : concepts, algorithms and applications
From node embedding to community embedding on graphs
Intelligent microgrid management and EV control under uncertainties in smart grid
Time expression and named entity analysis and recognition
Biomedical imaging informatics in ocular disease diagnosis
Fast and accurate vision-based pedestrian detection
Grouping features in big dimensionality
Semi-supervised learning for visual relation annotation
Learning and exploiting context dependencies for robust recommendations
Ordinal regression based on data relationship
Characterization and prediction of B-cell epitopes
Distilling crowd knowledge from software-specific Q&A discussions for assisting developers' knowledge search
Adversarial attacks and defenses for visual signals
Motion based video content indexing
Web usage mining for web personalization
Regulatory signal detection in genomic sequences
Automatic sorting of handwritten Singapore letter mail by optimising postcode recognition using address knowledge
Resource provisioning under uncertainty in cloud computing
Local Dependencies for near-duplicate retrieva
In-memory analytical query processing on GPUs
Graph mining in Fintech-driven payment industry for risk management
Architectures and automation for beyond-CMOS technologies
An embedded neuro-fuzzy architecture for explainable time series analysis
Light weight security architecture for ad hoc networks
En route to automated extraction and transfer of knowledge in multitask optimization : an evolutionary perspective
Sub-nyquist sampling techniques for cognitive radio applications
Variable structure control with applications to T-S fuzzy systems
Human learning principles inspired particle swarm optimization algorithms
Biological signal processing based on time-frequency distribution analysis
High performance hardware security components
Data-driven prediction and impact analysis for smart city applications
Constrained conformal/quasi-conformal map and its applications
Client assignment problems for distributed interactive computing
Task allocation and scheduling for distributed job execution
Modelling slum dynamics using an integrated agent based simulation framework
POEMS: parallel object-oriented environment for multi-computer systems
Multiagent evolutionary computation for complex problems
Mining interesting itemsets
Vision based scene understanding for collision avoidance on roadway
Few-shot visual understanding with deep neural networks
Computational model based emotional state recognition to assist autistic children
Efficient learning methods for high dimensional visual data
Constrained ICA and applications
Domain adaptation: methods and applications
Advanced phase shifting algorithms: development and evaluation
Orthogonal pulse based modulation schemes for time hopping ultra wideband radio systems
Methods in multi-source data-driven transfer optimization
Efficient computations of scalable caustic rendering and reconstruction
Synthesizing photorealistic images with deep generative learning
Efficient circuit-designs using spintronic devices
Detection and analysis of web-based malware and vulnerability
Bayesian framework for building gene regulatory networks including delays
Energy-efficient data dissemination and data gathering in wireless environments
Trust oriented decision making via POMDPs
Communication optimization in parallel applications
Efficient relaying strategies for mitigating fading and interference
Transferable and curious AI in sequential recommendation
Multi-modal memetic framework for locating saddle points, with application to biomolecular systems : water clusters and ring-deficient covalently-bonded small molecules
Discrete differential geometry driven methods for architectural geometry
Complementary learning fuzzy neural network
Aspect-based opinion mining of customer reviews
Mechanism design for internet of things services market
Content-based sports video analysis and composition
Secure and privacy preserving sharing of personal health records with multi-party pre-authorization verification
Uncovering vein patterns from color skin images for personal identification in forensic investigation
Transforming thermal comfort model and control in the tropics : a machine-learning approach
A framework for associated news story retrieval
Human face recognition using line edge information
Exploiting ratings and trust to resolve the data sparsity and cold start of recommender systems
Function-based web visualisation
From market to device: adaptive and efficient malware detection for Android
High level thermal-aware scheduling for multiprocessors
Wireless energy harvesting based relaying : a diversity multiplexing tradeoff perspective
Shape retrieval and recognition
MPC-enabled privacy-preserving machine learning
Thin deformable tissues modeling for simulation of arthroscopic knee surgery
Protocol design and performance analysis for wireless networks
Meta-analysis on the lethality of influenza A viruses using machine learning approaches
Closed fringe pattern processing techniques : development and comparison
Efficient and scalable techniques for pagerank-based graph analytics
Interactive view-dependent rendering over networks
Classifier-based approaches for top-down salient object detection
Efficient adaptive approximation algorithms in online social networks
Towards robust visual recognition: learning from imperfect data
Discovery and analysis of social networks based on online user activities
Advanced attack and defense techniques in machine learning systems
Mismatch problem in deep-learning based speech enhancement
Shape recognition and tracking for augmented reality
Ranking user generated content using topic models
Intelligent tutoring system for development of critical reasoning skills
Active NURBS modeling of human brain surface
Refining learning models in grammatical inference
Real-time collaborative technologies and systems for 3D digital media design over the internet
Any-time collaborative programming environment and supporting techniques
Monetizing potential of user information
Vision-based patient wellness monitoring using facial cues
A cross-layer payload-dropping scheme for improving CSMA/CA throughput in interference-limited co-channel cells
Models for visual saliency in images and videos
Semantic web annotation for relationship instances
2D and 3D visual understanding with limited supervision
Exploiting item relationships for effective recommendation
Learning transformation invariance for pairwise image matching
Generic assumption-based truth-maintained blackboard system
Spectrum hole identification and exploitation in cognitive radio networks
A framework for big sensor data collection and trading
Game-theoretic modeling for resource allocation in relay-based wireless networks
Handwriting recognition and retrieval for chemical structural formulas
Variational 3D mesh segmentation
Design of novel algorithms for 3D human head modeling and expression synthesis
Algorithms for saliency detection in videos
Evolving spiking neural networks for pattern classification problems
Link prediction and recommendation in signed social networks
Fast and scalable data mining algorithms for clustering using graphics processors
Optimized GPU algorithms for sparse data problems
Performance analysis of data replication and scheduling in data grid
System reliability enhancement via deep-driven computer vision
Cognitive-inspired speaker affective state profiling
Support-ordered trie for accelerating association rule mining, web usage mining and clustering
Cross-layer design for video streaming over QoS-enabled WLANs
Causal order in parallel and distributed simulation systems
Personalised recommendation: challenges and experimental issues
Exploiting embedded sensing in outdoor localization : a data-driven perspective
Neural modeling of multiple memory systems and learning
Crowd behavior modeling and simulation
Learning program semantics via exploring program structures with deep learning
Resource optimisation and interference management for multiuser communication systems in a cooperative environment
Improved low rank representation : kernelization, efficient optimization and applications
Defences and threats in safe deep learning
Memetic algorithm using multiple surrogates for complex engineering design optimization
Advanced classification for streaming time series and data streams
Detection of visual attention regions in images and videos
Hierarchical clustering using K-Iterations Fast Learning Artificial Neural Networks (KFLANN)
Human factors in agile software development
Event-driven data collection and summarization
Exploring the vulnerabilities and enhancing the adversarial robustness of deep neural networks
Cohesive subgraphs discovery in networks
Meta-cognitive learning algorithm for neuro-fuzzy inference systems
Protein structure prediction using bidirectional neural networks
Towards efficient large-scale learning by exploiting sparsity
Improving channel efficiency using physical layer information in wireless systems
Reason maintenance in constraint satisfaction
Achieving reliability for wireless multicast transmission using network coding
Towards improved wireless communication and sensing with CSI augmentation
Interactive shape modelling for mathematics visualization
Adaptive edge-preserving color image regularization framework by partial differential equations
Machine learning methods for predicting cancer drug effects from signaling and cell fate data
Improving sparse coding with graph, kernel, and structure
Coherent 3D line drawings for stylized animation
Bayesian network modeling of neural systems with functional MR images
Example-based image relighting
Tools for visual scene recognition
Efficient techniques for subgraph mining and query processing
Trust beyond reputation: novel trust mechanisms for distributed environments
Design and implementation of digital filters with very high frequency response flexibility for multi-standard wireless communication receivers
Provably-efficient adaptive scheduling of multiprocessors for performance and energy
Visual attention modeling and its applications
Retrospective techniques for segmentation of structural and functional MR brain images
Mining protein complexes from protein interaction data
Advanced topics in learning to hash for large-scale retrieval
Feature learning for RGB-D scene understanding
New data-driven approaches to improve probabilistic model structure learning
Towards practical data-driven predictive maintenance: a robust and generalizable deep learning approach
Schedule randomization based countermeasures against timing attacks in real-time wireless networks
Object tracking in intelligent visual surveillance
Emotion recognition : from physiological signals to affective states
Server provisioning for distributed interactive applications
Linguistic-inspired Chinese sentiment analysis : from characters to radicals and phonetics
From knowledge augmentation to multi-tasking: towards human-like dialogue systems
Design of low complexity variable digital filters and filter banks for software defined radio receivers
Integration of heterogeneous data sources for identification of disease genes using computational techniques
Shape retrieval and matching based on line segments