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Advances in Mobile Computing and Multimedia Intelligence : 22nd International Conference, MoMM 2024, Bratislava, Slovak Republic, December 2–4, 2024, Proceedings / / edited by Pari Delir Haghighi, Solomiia Fedushko, Gabriele Kotsis, Ismail Khalil
| Advances in Mobile Computing and Multimedia Intelligence : 22nd International Conference, MoMM 2024, Bratislava, Slovak Republic, December 2–4, 2024, Proceedings / / edited by Pari Delir Haghighi, Solomiia Fedushko, Gabriele Kotsis, Ismail Khalil |
| Autore | Delir Haghighi Pari |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (223 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
FedushkoSolomiia
KotsisGabriele KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computers Computer engineering Computer networks Artificial intelligence Computer and Information Systems Applications Computing Milieux Computer Engineering and Networks Artificial Intelligence |
| ISBN |
9783031780493
3031780493 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Wearable and Sensor-Based Data for Human Performance and Interaction. -- Investigating Choking Under Pressure in Dance Performance with Motion and Physiological Information Analysis. -- A method for Estimating the Force Applied on the forearm using PPG Sensors. -- Good Vibes! Towards Phone-to-User Authentication Through Wristwatch Vibrations. -- A Method for Embedding Information into Acceleration Data using Resonant Frequency Sound to Capacitive Accelerometers. -- Mobile User Experience, Motivation, and Behavior. -- MEUSec – Method for Enhancing User Experience and Information Security. -- Correlation between gamification and intrinsic motivation with a mobile job-market application. -- Query by Trash: Encouraging Green Attitudes and Behavior through Eco-News Retrieval in Smart Trash Bins. -- Evaluating the Impact of Color and Sound Combinations on Cognitive Performance in Virtual Reality. -- Medical and Cognitive Health Applications. -- Mild Cognitive Impairment Prediction Using Facial and Speech Data. -- Comparing training of Sparse to Classic Neural Networks for Binary Classification in Medical Data. -- A Genetic Algorithm-Based Scheduling Method Considering Working Hours for Medical Doctors. -- Image, Video, and Multimedia Processing. -- Application of Benford's law to the identification of non-authentic digital images. -- Efficient moving object detection from Ultra-High Resolution omnidirectional video. -- Evaluation of the clustering method used to analyze the proximity of mobile devices using indirect geolocation indicators. -- Software and System Intelligence. -- Cross-Project Software Defect Prediction using Ensemble Model with Individual Data Balancing and Feature Selection. -- AUTO-DataGenCARS+: An Advanced User-Oriented Tool to Generate Data for the Evaluation of Recommender Systems. -- A Method for Eliminating False Positives of Acceleration-based Gesture Recognition Using Eye Tracking. -- Toward the Implementation of a Cooking Support System Complementing Nonexistent Objects with Virtual Objects. |
| Record Nr. | UNINA-9910983056803321 |
Delir Haghighi Pari
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Mobile Computing and Multimedia Intelligence : 22nd International Conference, MoMM 2024, Bratislava, Slovak Republic, December 2–4, 2024, Proceedings / / edited by Pari Delir Haghighi, Solomiia Fedushko, Gabriele Kotsis, Ismail Khalil
| Advances in Mobile Computing and Multimedia Intelligence : 22nd International Conference, MoMM 2024, Bratislava, Slovak Republic, December 2–4, 2024, Proceedings / / edited by Pari Delir Haghighi, Solomiia Fedushko, Gabriele Kotsis, Ismail Khalil |
| Autore | Delir Haghighi Pari |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (223 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
FedushkoSolomiia
KotsisGabriele KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computers Computer engineering Computer networks Artificial intelligence Computer and Information Systems Applications Computing Milieux Computer Engineering and Networks Artificial Intelligence |
| ISBN |
9783031780493
3031780493 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Wearable and Sensor-Based Data for Human Performance and Interaction. -- Investigating Choking Under Pressure in Dance Performance with Motion and Physiological Information Analysis. -- A method for Estimating the Force Applied on the forearm using PPG Sensors. -- Good Vibes! Towards Phone-to-User Authentication Through Wristwatch Vibrations. -- A Method for Embedding Information into Acceleration Data using Resonant Frequency Sound to Capacitive Accelerometers. -- Mobile User Experience, Motivation, and Behavior. -- MEUSec – Method for Enhancing User Experience and Information Security. -- Correlation between gamification and intrinsic motivation with a mobile job-market application. -- Query by Trash: Encouraging Green Attitudes and Behavior through Eco-News Retrieval in Smart Trash Bins. -- Evaluating the Impact of Color and Sound Combinations on Cognitive Performance in Virtual Reality. -- Medical and Cognitive Health Applications. -- Mild Cognitive Impairment Prediction Using Facial and Speech Data. -- Comparing training of Sparse to Classic Neural Networks for Binary Classification in Medical Data. -- A Genetic Algorithm-Based Scheduling Method Considering Working Hours for Medical Doctors. -- Image, Video, and Multimedia Processing. -- Application of Benford's law to the identification of non-authentic digital images. -- Efficient moving object detection from Ultra-High Resolution omnidirectional video. -- Evaluation of the clustering method used to analyze the proximity of mobile devices using indirect geolocation indicators. -- Software and System Intelligence. -- Cross-Project Software Defect Prediction using Ensemble Model with Individual Data Balancing and Feature Selection. -- AUTO-DataGenCARS+: An Advanced User-Oriented Tool to Generate Data for the Evaluation of Recommender Systems. -- A Method for Eliminating False Positives of Acceleration-based Gesture Recognition Using Eye Tracking. -- Toward the Implementation of a Cooking Support System Complementing Nonexistent Objects with Virtual Objects. |
| Record Nr. | UNISA-996630865303316 |
|
Delir Haghighi Pari
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Mobile Computing and Multimedia Intelligence [[electronic resource] ] : 21st International Conference, MoMM 2023, Denpasar, Bali, Indonesia, December 4–6, 2023, Proceedings / / edited by Pari Delir Haghighi, Ismail Khalil, Gabriele Kotsis, Ngurah Agus Sanjaya ER
| Advances in Mobile Computing and Multimedia Intelligence [[electronic resource] ] : 21st International Conference, MoMM 2023, Denpasar, Bali, Indonesia, December 4–6, 2023, Proceedings / / edited by Pari Delir Haghighi, Ismail Khalil, Gabriele Kotsis, Ngurah Agus Sanjaya ER |
| Autore | Delir Haghighi Pari |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (196 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
KhalilIsmail
KotsisGabriele ERNgurah Agus Sanjaya |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computers Computer engineering Computer networks Artificial intelligence Computer and Information Systems Applications Computing Milieux Computer Engineering and Networks Artificial Intelligence |
| ISBN | 3-031-48348-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Security in Mobile Environments: Anonymously publishing liveness signals with plausible deniability -- Analysis of data obtained from the mobile botnet -- On the Impact of FFP2 Face Masks on Speaker Verification for Mobile Device Authentication -- Blockchain-Enhanced IoHT: A Patient-Centric Internet of Healthcare Things Platform with Smart Contract-Driven Data Management -- Federated Learning for Collaborative Cybersecurity of Distributed Healthcare -- Mobile Computing and Wireless Sensors: Does Use of Blink Interface Affect Number of Blinks When Reading Paper Books? -- A Method for Stimuli Control of Carbonated Beverages by Estimating and Reducing Carbonation Level -- A Knee Injury Prevention System by Continuous Knee Angle Recognition using Stretch Sensors -- Ubiquitous Mobile Application for Conducting Occupational Therapy in Children with ADHD -- Wearable Device Supporting Light/Dark Adaptation -- Image and Video Processing: Face to Face with Efficiency: Real-Time Face Recognition Pipelines on Embedded Devices -- Multi-camera Live Video Streaming over Wireless Network -- Effects of Deep Generative AutoEncoder Based Image Compression on Face Attribute Recognition: A Comprehensive Study -- Implementation of a Video Game controlled by Pressing the Upper Arm using PPG Sensor -- Immerscape: Supporting the creation of Immersive Soundscapes by users in Cultural Heritage contexts. |
| Record Nr. | UNISA-996565866703316 |
|
Delir Haghighi Pari
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Mobile Computing and Multimedia Intelligence : 21st International Conference, MoMM 2023, Denpasar, Bali, Indonesia, December 4–6, 2023, Proceedings / / edited by Pari Delir Haghighi, Ismail Khalil, Gabriele Kotsis, Ngurah Agus Sanjaya ER
| Advances in Mobile Computing and Multimedia Intelligence : 21st International Conference, MoMM 2023, Denpasar, Bali, Indonesia, December 4–6, 2023, Proceedings / / edited by Pari Delir Haghighi, Ismail Khalil, Gabriele Kotsis, Ngurah Agus Sanjaya ER |
| Autore | Delir Haghighi Pari |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (196 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
KhalilIsmail
KotsisGabriele ERNgurah Agus Sanjaya |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computers Computer engineering Computer networks Artificial intelligence Computer and Information Systems Applications Computing Milieux Computer Engineering and Networks Artificial Intelligence |
| ISBN |
9783031483486
3031483480 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Security in Mobile Environments: Anonymously publishing liveness signals with plausible deniability -- Analysis of data obtained from the mobile botnet -- On the Impact of FFP2 Face Masks on Speaker Verification for Mobile Device Authentication -- Blockchain-Enhanced IoHT: A Patient-Centric Internet of Healthcare Things Platform with Smart Contract-Driven Data Management -- Federated Learning for Collaborative Cybersecurity of Distributed Healthcare -- Mobile Computing and Wireless Sensors: Does Use of Blink Interface Affect Number of Blinks When Reading Paper Books? -- A Method for Stimuli Control of Carbonated Beverages by Estimating and Reducing Carbonation Level -- A Knee Injury Prevention System by Continuous Knee Angle Recognition using Stretch Sensors -- Ubiquitous Mobile Application for Conducting Occupational Therapy in Children with ADHD -- Wearable Device Supporting Light/Dark Adaptation -- Image and Video Processing: Face to Face with Efficiency: Real-Time Face Recognition Pipelines on Embedded Devices -- Multi-camera Live Video Streaming over Wireless Network -- Effects of Deep Generative AutoEncoder Based Image Compression on Face Attribute Recognition: A Comprehensive Study -- Implementation of a Video Game controlled by Pressing the Upper Arm using PPG Sensor -- Immerscape: Supporting the creation of Immersive Soundscapes by users in Cultural Heritage contexts. |
| Record Nr. | UNINA-9910766889603321 |
|
Delir Haghighi Pari
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in mobile computing and multimedia intelligence : 20th International Conference, MoMM 2022, virtual event, November 28-30, 2022, proceedings / / Pari Delir Haghighi, Ismail Khalil, Gabriele Kotsis, editors
| Advances in mobile computing and multimedia intelligence : 20th International Conference, MoMM 2022, virtual event, November 28-30, 2022, proceedings / / Pari Delir Haghighi, Ismail Khalil, Gabriele Kotsis, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (181 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Artificial intelligence
Mobile computing Multimedia systems |
| ISBN | 3-031-20436-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Embedded Machine Learning for Data Quality Enhancement in Smart Systems (Abstracts of Keynote Talk) -- Contents -- Applications of Classification -- Classification and Impact of Call-to-Actions in Push-Notifications -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Call-to-Action Classification -- 4.1 Annotated CTA Data -- 4.2 Data Augmentation -- 4.3 Implementation -- 4.4 Evaluation -- 5 Impact of Call-to-Actions In-the-Wild -- 5.1 Web Push-Notification Evaluation -- 5.2 Mobile Push-Notification Evaluation -- 6 Conclusions -- References -- An Intelligent ML-Based IDS Framework for DDoS Detection in the SDN Environment -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Data Acquisition -- 3.2 Selection of ML Method -- 4 Case Study -- 4.1 Dataset Selection -- 4.2 Choice of ML Model -- 5 Conclusion -- References -- Effects on Separated Learning of Acquiring Physical Movement Skills Classified by Level of Difficulty -- 1 Introduction -- 2 Implementation -- 3 Experiment -- 3.1 Learning Method -- 3.2 Learning Cost -- 3.3 Experimental Conditions -- 4 Results -- 4.1 Effects of Separated Learning for Learning the Dance Steps -- 5 Summary -- References -- Now, Later, Never: A Study of Urgency in Mobile Push-Notifications -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Mobile Push-Notification Dataset -- 3.2 Annotating Urgency with APN -- 3.3 Crowdsourced Annotation -- 4 Understanding Urgency in Mobile Push-Notifications -- 5 Evaluating Urgency Classification -- 5.1 Experiment 1 - Baseline -- 5.2 Experiment 2 - Data Augmentation -- 5.3 Experiment 3 - Time Expressions -- 5.4 Experiment 4 - Delivery Date -- 6 Conclusions -- References -- Image and Video Processing -- Efficient Subjective Video Quality Assessment Based on Active Learning and Clustering -- 1 Introduction.
2 Efficient Subjective VQA Based on Active Learning -- 2.1 Overview of AL-SVQA -- 2.2 Clustering Based Sampling Strategy -- 2.3 Dual Regression Models for Video Quality Prediction -- 2.4 Stop Criterion -- 2.5 Automatic Labelling -- 3 Experiments -- 3.1 Dataset -- 3.2 Experimental Settings -- 4 Experimental Results -- 4.1 Performance of AL-SVQA -- 4.2 Effect of Different Sampling Strategies -- 5 Conclusion -- References -- Curvable Image Markers: Toward Trackable Markers for Every Surface -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Detecting Curved Candidates -- 3.2 Curve Extraction and Modeling -- 3.3 Identifying Curved Markers -- 3.4 Image Marker -- 4 Evaluation -- 4.1 Detection Accuracy -- 4.2 Visual Appeal of Image Marker -- 5 Conclusion -- References -- Design Exploration for Better Security of Recognition-Based Image Authentication in Mobile Environment -- 1 Introduction -- 2 Related Work -- 3 Our Approach and Prototype System -- 4 Usability Evaluation -- 5 Discussion and Conclusion -- References -- A Scheduling Method for Division-Based Broadcasting on Dynamic Video Delivery -- 1 Introduction -- 2 Dynamic Update of Delivery Schedules -- 3 Proposed Method -- 3.1 Scheduling Procedure -- 3.2 Implementation -- 4 Evaluation -- 4.1 Evaluation Environment -- 4.2 Number of Segments and Amount of Waiting Time -- 4.3 Available Bandwidth and Waiting Time -- 5 Conclusion -- References -- Mobile Computing and Wireless Sensors -- Simulating Scenarios to Evaluate Data Filtering Techniques for Mobile Users -- 1 Introduction -- 2 Data Filtering-Based Mobile Information Services -- 2.1 Social-Distance and Context-Aware Mobile Recommender Systems -- 2.2 Social-Distance-Preserving Information Services for Drivers -- 3 Simulation of Scenarios to Evaluate Mobile Recommenders. 4 Simulation of Scenarios to Evaluate Strategies to Suggest Parking Spaces to Drivers -- 5 Experimental Evaluation -- 5.1 Experiments with RecMobiSim -- 5.2 Experiments with the Parking Simulator -- 6 Conclusions and Future Work -- References -- BetterPlanet: Sustainability Feedback from Digital Receipts -- 1 Introduction -- 2 The BetterPlanet System and Study -- 2.1 Application Architecture and Design -- 2.2 CO2-Data and CO2-Scoring Model for BetterPlanet -- 2.3 Study Participants -- 3 Results and Discussion -- 4 Limitations and Outlook -- 5 Conclusion -- References -- Context-Aware Human Activity Recognition (CA-HAR) Using Smartphone Built-In Sensors -- 1 Introduction -- 2 Related Work -- 3 Proposed Context-Activity Model -- 4 Context-Aware Human Activity Recognition (CA-HAR) -- 4.1 Basic Physical Activity Recognition -- 4.2 Context Management -- 4.3 Context-Aware HAR Integration -- 5 Implementation -- 6 Selection of Deep Learning (DL) Model -- 7 Scenario-Based Demonstration -- 7.1 Illustrative Simulation Scenario 1 - Studying/Working/Web Surfing (Home Activity) -- 7.2 Illustrative Simulation Scenario 2 - Commuting by Private Vehicle -- 7.3 Analysis of Results and Discussions -- 8 Conclusion and Future Work -- References -- An Improved 3DIHDV-H0P Localization Algorithm Using for Smart Irrigation Applications -- 1 Introduction -- 2 The DV-HOP Localization Algorithm -- 3 Related Works -- 4 A Proposition of 3DIHDV-H0P Algorithm -- 5 Simulation Result -- 6 Conclusion -- References -- Online Teaching and Movements -- Online Dance Lesson Support System Using Flipped Classroom -- 1 Introduction -- 2 Related Works -- 3 Preliminary Investigation -- 3.1 Lesson Design -- 3.2 Participants' Impressions -- 4 Proposed Method -- 4.1 On-Demand Lesson: Basic Movement Learning Support Tool -- 4.2 Real-Time Lesson -- 5 Summary and Future Work -- References. Who Shapes the Network of a Pedagogical Space? Clues from the Movements in the Physical Places -- 1 Introduction -- 2 Related Work -- 2.1 Pedagogical Space -- 2.2 Multimodality in Pedagogical Spaces -- 3 Methods -- 3.1 Measurements -- 3.2 Subject and Research Site -- 3.3 Equipment -- 3.4 Procedure -- 4 Results -- 4.1 Offline Lecture -- 4.2 Online Lecture -- 4.3 Hybrid Lecture -- 5 Discussion -- 6 Conclusion -- References -- Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique -- 1 Introduction -- 2 Related Works -- 2.1 Formative Feedback -- 2.2 Feedback Models -- 2.3 Learning Analytic -- 3 Solution Overview -- 3.1 Clustering Similar Misunderstanding -- 3.2 Providing and Verifying Feedback -- 3.3 Estimating Feedback Effectiveness -- 4 Experiments and Results -- 4.1 Experiments Settings -- 4.2 Experiment Scenarios -- 4.3 Results: Performance Analysis -- 4.4 Results: Participants Analysis -- 5 Conclusion and Future Work -- References -- A Stumble Detection Method for Programming with Multi-modal Information -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Assumed Environment -- 3.2 Stumble Detection Method -- 3.3 Web Editor Implementation for Retrieving Code-Related Metrics -- 4 Evaluation -- 4.1 Procedure -- 4.2 Result -- 5 Conclusion -- References -- Author Index. |
| Record Nr. | UNISA-996500062503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Mobile Computing and Multimedia Intelligence : 20th International Conference, MoMM 2022, Virtual Event, November 28–30, 2022, Proceedings / / edited by Pari Delir Haghighi, Ismail Khalil, Gabriele Kotsis
| Advances in Mobile Computing and Multimedia Intelligence : 20th International Conference, MoMM 2022, Virtual Event, November 28–30, 2022, Proceedings / / edited by Pari Delir Haghighi, Ismail Khalil, Gabriele Kotsis |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (181 pages) |
| Disciplina |
006.3
004.167 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computers Computer engineering Computer networks Artificial intelligence Computer and Information Systems Applications Computing Milieux Computer Engineering and Networks Artificial Intelligence |
| ISBN |
9783031204364
3031204360 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Classification -- Classification and Impact of Call-to-actions in Push-notifications -- An Intelligent ML-based IDS Framework for DDoS Detection in the SDN Environment -- Effects on Separated Learning of Acquiring Physical Movement Skills Classified by Level of Difficulty -- Now, Later, Never: A Study of Urgency in Mobile Push-notifications -- Image and Video Processing -- Efficient Subjective Video Quality Assessment Based on Active Learning and Clustering -- Curvable Image Markers: Towards a Trackable Marker for Every Surface -- Design Exploration for Better Security of Recognition-based Image Authentication in Mobile Environment -- A Scheduling Method for Division-based Broadcasting on Dynamic Video Delivery -- Mobile Computing and Wireless sensors -- Simulating Scenarios to Evaluate Data Filtering Techniques for Mobile Users -- BetterPlanet: Sustainability Feedback from Digital Receipts -- Context-aware Human Activity Recognition (CA-HAR) using Smartphone Built-in Sensors -- An Improved 3DIHDV-H0P Localization Algorithm Using for Smart Irrigation Applications -- Online teaching and movements -- Online Dance Lesson Support System Using Flipped Classroom -- Who shapes the network of a pedagogical space? Clues from the movements in the physical places -- Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique -- A Stumble Detection Method for Programming with Multi-modal Information. |
| Record Nr. | UNINA-9910631096203321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data Analytics and Knowledge Discovery : 27th International Conference, DaWaK 2025, Bangkok, Thailand, August 25–27, 2025, Proceedings / / edited by Carson K. Leung, Anton Dignös, Gabriele Kotsis, A. Min Tjoa, Ismail Khalil
| Big Data Analytics and Knowledge Discovery : 27th International Conference, DaWaK 2025, Bangkok, Thailand, August 25–27, 2025, Proceedings / / edited by Carson K. Leung, Anton Dignös, Gabriele Kotsis, A. Min Tjoa, Ismail Khalil |
| Autore | Leung Carson K |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (571 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DignösAnton
KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Application software Artificial intelligence Data Mining and Knowledge Discovery Computer and Information Systems Applications Artificial Intelligence |
| ISBN | 3-032-02215-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Keynote Talk. -- Sparse Matrix Algorithms for Evolving Neural Networks. -- Invited Talk. -- Data integration in the AI era: research trends and still open issues. -- Tutorial. -- Leveraging machine learning techniques for customer data deduplication-hard-won lessons from a real-world project in the financial industry, -- Data mining and knowledge discovery. -- FairFES - Fast Exact Sampling for Fair Classification. -- Autism Detection by Analyzing Handwriting Characteristics of Chinese Characters via Deep Learning Models. -- FNoDe: Faulty Node Detection in Microservices Architecture. -- An Enhanced FP-Growth Algorithm with Hybrid Adaptive Support Threshold for Association Rule Mining. -- Sequential data analytics and recommendation systems. -- Entity Resolution for Streaming Data with Embeddings. -- Cross-Modal Sequential Point-of-Interest Recommendation with Lightweight Hybrid Fusion Strategy. -- Alternatives to Shallow Autoencoders for Collaborative Filtering. -- Accurate Concept Drift Detection without Updating Autoencoders. -- Graph data processing and analytics. -- Parallel and Distributed SQL/PGQ Query Processing for Property Graphs. -- Graph Constraint Language for Industrial Knowledge Graphs and Machine Learning. -- SemViSG : Semantic Enrichment and Visualization of Software Graphs. -- Data management and Indices. -- Certainty Attacks Using Explainability Preprocessing. -- Integrating Bitcoin Transactions into Relational Databases for IoT: Challenges and Solutions. -- Effects of Response Length on User Search Experience in Spoken Conversational Search. -- Fair Proportional Top-k Ranking. -- PAID: Power-efficient AI-optimized Databases. -- On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data. -- A Bayesian Reinforcement Learning Framework for Online Index Tuning. -- Large language models (LLMs). -- Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-wise Multiview Clustering and Large Language Models. -- Parameter Drift as a Signal for Membership Inference in Overfit-Tuned LLMs. -- MicroSuggest: Kernel-Aware Microservice Decomposition. -- TraceTune: Targeted Fine-Tuning of Attention Heads for Text-to-SQL. -- Neural networks. -- ONNYX : Optimized Neural Networks Yielding eXplainable insights from ECG signals-based data streams. -- SpaPool: Soft Partition Assignment Pooling for Graph Neural Networks. -- Prediction of iterative solvers' convergence using pretraining by natural images. -- Local-aware Convolutional Modulation for Short-Term Sequential Recommendation. |
| Record Nr. | UNISA-996673177903316 |
|
Leung Carson K
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data Analytics and Knowledge Discovery [[electronic resource] ] : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings / / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Big Data Analytics and Knowledge Discovery [[electronic resource] ] : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings / / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Wrembel Robert |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (407 pages) |
| Disciplina |
001.422
005.7 |
| Altri autori (Persone) |
GamperJohann
KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Quantitative research
Data mining Application software Artificial intelligence Data Analysis and Big Data Data Mining and Knowledge Discovery Computer and Information Systems Applications Artificial Intelligence |
| ISBN | 3-031-39831-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- From an Interpretable Predictive Model to a Model Agnostic Explanation (Abstract of Keynote Talk) -- Contents -- Data Quality -- Using Ontologies as Context for Data Warehouse Quality Assessment -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Running Example -- 3.2 Data Warehouse Formal Specification -- 3.3 Context Formal Specification -- 4 Data Warehouse to Ontology Mapping -- 5 Context-Based Data Quality Rules -- 6 Experimentation -- 6.1 Implementation -- 6.2 Validation -- 7 Conclusions and Future Work -- References -- Preventing Technical Errors in Data Lake Analyses with Type Theory -- 1 Introduction -- 2 Related Works -- 3 Type-Theoretical Framework -- 4 Conclusion -- References -- EXOS: Explaining Outliers in Data Streams -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 The Proposed Algorithm: EXOS -- 4.1 Estimator -- 4.2 Temporal Neighbor Clustering -- 4.3 Outlying Attribute Generators -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Results and Analysis -- 6 Conclusions -- References -- Motif Alignment for Time Series Data Augmentation -- 1 Introduction -- 2 Preliminaries -- 2.1 Matrix Profile -- 2.2 Pan-Matrix Profile -- 2.3 DTW Alignment for Time Series Data Augmentation -- 3 Proposed Method -- 3.1 Motif Mapping -- 3.2 Time Series Augmentation -- 4 Experimental Evaluation -- 4.1 Setup -- 4.2 Aligning Time Series Using MotifDTW -- 4.3 Performance Gain -- 5 Conclusion -- References -- State-Transition-Aware Anomaly Detection Under Concept Drifts -- 1 Introduction -- 2 Related Works -- 3 Problem Definition -- 3.1 Terminology -- 3.2 Problem Statement -- 4 State-Transition-Aware Anomaly Detection -- 4.1 Reconstruction and Latent Representation Learning -- 4.2 Drift Detection in the Latent Space -- 4.3 State Transition Model -- 5 Experiment -- 5.1 Experiment Setup -- 5.2 Performance.
6 Conclusion -- References -- Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations -- 1 Introduction -- 2 Related Work -- 2.1 Graph Embedding -- 2.2 Anomaly Detection -- 3 Problem Formalization -- 4 Proposed Method -- 4.1 PFA: Proximal Feature Aggregation -- 4.2 AFA: Anomaly Feature Aggregation -- 5 Experiment -- 5.1 Experimental Setup -- 5.2 Effectiveness Evaluation -- 5.3 Scalability Evaluation -- 6 Conclusion -- References -- The Synergies of Context and Data Aging in Recommendations -- 1 Introduction -- 2 ALBA: Adding Aging to LookBack Apriori -- 3 Context Modeling -- 4 Evaluation -- 4.1 Contexts -- 4.2 Methodology -- 4.3 Fitbit Validation -- 4.4 Auditel Validation -- 5 Conclusions and Future Work -- References -- Advanced Analytics and Pattern Discovery -- Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Notation -- 3.2 Hypergraph Projection -- 3.3 Random Walk and Stationary Distribution -- 3.4 Skip-Gram -- 4 Proposed Method -- 4.1 Random Walk -- 5 Experiment -- 5.1 Transition Probabilities in Steady State -- 5.2 Node Label Estimation -- 5.3 Parameter Dependence of F1 Score -- 6 Conclusion -- References -- Contextual Shift Method (CSM) -- 1 Introduction -- 2 Contextual Shifts -- 3 Contextual Shift Method -- 4 Experiments -- 5 Conclusion -- References -- Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining -- 1 Introduction -- 2 Preliminary Definitions -- 3 High Utility Gradual Itemsets Mining -- 3.1 Database Encoding -- 3.2 High Utility Gradual Itemsets Extraction -- 4 Experimental Study -- 5 Conclusion -- References -- Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables -- 1 Introduction -- 2 Contrast ItemSB -- 3 Experimental Results -- 4 Conclusions -- References. DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Reproducing Kernel Hilbert Space Embeddings -- 3.2 Attention Mechanism -- 3.3 Generative Adversarial Network -- 4 DBGAN Mobility Pattern Classification Model -- 4.1 Attributes of Travel Trajectories Utilized for Classification -- 4.2 Sequences to Images with Kernel Embedding -- 4.3 Classification Using Self Attention-Based Generative Adversarial Network -- 5 Evaluation -- 6 Conclusion -- References -- Bitwise Vertical Mining of Minimal Rare Patterns -- 1 Introduction -- 2 Background and Related Works -- 3 Our RP-VIPER Algorithm -- 4 Evaluation -- 5 Conclusions -- References -- Inter-item Time Intervals in Sequential Patterns -- 1 Introduction -- 2 Related Work -- 3 Representing Time in Sequences -- 3.1 Preliminaries -- 3.2 Integrating Intervals in Sequences -- 4 Experiments -- 4.1 Datasets and Models -- 4.2 Results -- 5 Conclusion -- References -- Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Fair Dynamic Survival Model -- 3.2 Individual Fairness -- 3.3 Group Fairness -- 4 Experiments -- 4.1 Quantitative Analysis -- 4.2 Sensitivity Study -- 5 Conclusions -- References -- Machine Learning -- DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs -- 1 Introduction -- 2 Related Works -- 2.1 Fake Health News Datasets -- 2.2 Fake News Datasets -- 3 Data Collection -- 3.1 News Articles and Ground Truth Collection -- 3.2 Preparing the Tweets Collection -- 3.3 Tweets Collection -- 4 Rumor Classification Using DAT@Z21 -- 4.1 Baselines -- 4.2 Experiment Settings -- 4.3 Experimental Results -- 5 Conclusion and Perspectives -- References. Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? -- 1 Introduction -- 2 Related Work -- 3 Measuring Discrimination -- 4 Problem Formulation -- 5 Methodology -- 6 Evaluation -- 6.1 Comparing Pre-processors -- 6.2 Investigating the Fairness-Agnostic Property -- 7 Conclusion -- 8 Discussion and Future Work -- A Proof of Time Complexity -- References -- Random Hypergraph Model Preserving Two-Mode Clustering Coefficient -- 1 Introduction -- 2 Preliminaries -- 3 Extending the Hyper dK-Series to the Case of dv = 2.5+ -- 4 Experiments -- 5 Conclusion -- References -- A Non-overlapping Community Detection Approach Based on -Structural Similarity -- 1 Introduction -- 2 Preliminaries -- 3 A Hierarchical Clustering Approach Based on -Structural Similarity -- 4 Experiments -- 5 Conclusion and Future Work -- A Appendix a -- B Appendix B -- References -- Improving Stochastic Gradient Descent Initializing with Data Summarization -- 1 Introduction -- 2 Definitions -- 2.1 Input Data Set -- 2.2 LR Model -- 3 System and Algorithms -- 3.1 Gamma Summarization () -- 3.2 Mini-batch SGD -- 3.3 Mini-batch SGD Initialization Using Gamma -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Related Work -- 6 Conclusions -- References -- Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster -- 1 Introduction -- 2 Related Work -- 3 Basic Concept of RBF Tweet Classification -- 3.1 Extraction of BF Tweets -- 3.2 RBF Tweet Extraction and Classification -- 4 Analysis of RBF Tweets -- 4.1 Training and Test Data -- 4.2 Research Question -- 4.3 Results and Discussion of Research Questions -- 5 Conclusion -- References -- Exploring Dialog Act Recognition in Open Domain Conversational Agents -- 1 Introduction -- 2 Related Works. 3 Proposed Dialog Act Taxonomy -- 3.1 Data Sources -- 4 Proposed Dialog Act Classifier -- 4.1 Experimental Setup -- 4.2 Performance Evaluation -- 4.3 Generalizability of Model -- 5 Conclusion -- References -- UniCausal: Unified Benchmark and Repository for Causal Text Mining -- 1 Introduction -- 2 Related Work -- 2.1 Tasks -- 2.2 Datasets -- 2.3 Other Large Causal Resources -- 3 Methodology -- 3.1 Creation of UniCausal -- 3.2 Baseline Model -- 4 Experiments -- 4.1 Baseline Performance -- 4.2 Impact of Datasets -- 4.3 Adding CauseNet to Investigate the Importance of Linguistic Variation in Examples -- 5 Conclusion -- References -- Deep Learning -- Accounting for Imputation Uncertainty During Neural Network Training -- 1 Introduction -- 2 Related Works -- 3 Contributions -- 3.1 Single-Hotpatching -- 3.2 Multiple-Hotpatching -- 4 Experiments -- 4.1 Experimental Protocol -- 4.2 Results -- 5 Discussion and Conclusion -- References -- Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Datasets and Preprocessing -- 4 Implementation -- 4.1 Traditional ML Approaches -- 4.2 DL Approaches -- 4.3 The Ensemble Stack ML Model -- 4.4 The Hybrid ML-DL Model -- 5 Results and Analysis -- 6 Conclusion and Future Work -- References -- Attention-Based Counterfactual Explanation for Multivariate Time Series -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Notation -- 3.2 Proposed Method -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Methods -- 4.3 Experimental Result -- 5 Conclusion -- References -- DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework -- 1 Introduction -- 2 Related Work -- 3 DRUM -- 4 Evaluation -- 5 Conclusion -- References. Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. |
| Record Nr. | UNISA-996546854503316 |
|
Wrembel Robert
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data Analytics and Knowledge Discovery : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings / / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Big Data Analytics and Knowledge Discovery : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings / / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Wrembel Robert |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (407 pages) |
| Disciplina |
001.422
005.7 005.745 |
| Altri autori (Persone) |
GamperJohann
KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Quantitative research
Data mining Application software Artificial intelligence Data Analysis and Big Data Data Mining and Knowledge Discovery Computer and Information Systems Applications Artificial Intelligence |
| ISBN |
9783031398315
3031398319 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- From an Interpretable Predictive Model to a Model Agnostic Explanation (Abstract of Keynote Talk) -- Contents -- Data Quality -- Using Ontologies as Context for Data Warehouse Quality Assessment -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Running Example -- 3.2 Data Warehouse Formal Specification -- 3.3 Context Formal Specification -- 4 Data Warehouse to Ontology Mapping -- 5 Context-Based Data Quality Rules -- 6 Experimentation -- 6.1 Implementation -- 6.2 Validation -- 7 Conclusions and Future Work -- References -- Preventing Technical Errors in Data Lake Analyses with Type Theory -- 1 Introduction -- 2 Related Works -- 3 Type-Theoretical Framework -- 4 Conclusion -- References -- EXOS: Explaining Outliers in Data Streams -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 The Proposed Algorithm: EXOS -- 4.1 Estimator -- 4.2 Temporal Neighbor Clustering -- 4.3 Outlying Attribute Generators -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Results and Analysis -- 6 Conclusions -- References -- Motif Alignment for Time Series Data Augmentation -- 1 Introduction -- 2 Preliminaries -- 2.1 Matrix Profile -- 2.2 Pan-Matrix Profile -- 2.3 DTW Alignment for Time Series Data Augmentation -- 3 Proposed Method -- 3.1 Motif Mapping -- 3.2 Time Series Augmentation -- 4 Experimental Evaluation -- 4.1 Setup -- 4.2 Aligning Time Series Using MotifDTW -- 4.3 Performance Gain -- 5 Conclusion -- References -- State-Transition-Aware Anomaly Detection Under Concept Drifts -- 1 Introduction -- 2 Related Works -- 3 Problem Definition -- 3.1 Terminology -- 3.2 Problem Statement -- 4 State-Transition-Aware Anomaly Detection -- 4.1 Reconstruction and Latent Representation Learning -- 4.2 Drift Detection in the Latent Space -- 4.3 State Transition Model -- 5 Experiment -- 5.1 Experiment Setup -- 5.2 Performance.
6 Conclusion -- References -- Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations -- 1 Introduction -- 2 Related Work -- 2.1 Graph Embedding -- 2.2 Anomaly Detection -- 3 Problem Formalization -- 4 Proposed Method -- 4.1 PFA: Proximal Feature Aggregation -- 4.2 AFA: Anomaly Feature Aggregation -- 5 Experiment -- 5.1 Experimental Setup -- 5.2 Effectiveness Evaluation -- 5.3 Scalability Evaluation -- 6 Conclusion -- References -- The Synergies of Context and Data Aging in Recommendations -- 1 Introduction -- 2 ALBA: Adding Aging to LookBack Apriori -- 3 Context Modeling -- 4 Evaluation -- 4.1 Contexts -- 4.2 Methodology -- 4.3 Fitbit Validation -- 4.4 Auditel Validation -- 5 Conclusions and Future Work -- References -- Advanced Analytics and Pattern Discovery -- Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Notation -- 3.2 Hypergraph Projection -- 3.3 Random Walk and Stationary Distribution -- 3.4 Skip-Gram -- 4 Proposed Method -- 4.1 Random Walk -- 5 Experiment -- 5.1 Transition Probabilities in Steady State -- 5.2 Node Label Estimation -- 5.3 Parameter Dependence of F1 Score -- 6 Conclusion -- References -- Contextual Shift Method (CSM) -- 1 Introduction -- 2 Contextual Shifts -- 3 Contextual Shift Method -- 4 Experiments -- 5 Conclusion -- References -- Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining -- 1 Introduction -- 2 Preliminary Definitions -- 3 High Utility Gradual Itemsets Mining -- 3.1 Database Encoding -- 3.2 High Utility Gradual Itemsets Extraction -- 4 Experimental Study -- 5 Conclusion -- References -- Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables -- 1 Introduction -- 2 Contrast ItemSB -- 3 Experimental Results -- 4 Conclusions -- References. DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Reproducing Kernel Hilbert Space Embeddings -- 3.2 Attention Mechanism -- 3.3 Generative Adversarial Network -- 4 DBGAN Mobility Pattern Classification Model -- 4.1 Attributes of Travel Trajectories Utilized for Classification -- 4.2 Sequences to Images with Kernel Embedding -- 4.3 Classification Using Self Attention-Based Generative Adversarial Network -- 5 Evaluation -- 6 Conclusion -- References -- Bitwise Vertical Mining of Minimal Rare Patterns -- 1 Introduction -- 2 Background and Related Works -- 3 Our RP-VIPER Algorithm -- 4 Evaluation -- 5 Conclusions -- References -- Inter-item Time Intervals in Sequential Patterns -- 1 Introduction -- 2 Related Work -- 3 Representing Time in Sequences -- 3.1 Preliminaries -- 3.2 Integrating Intervals in Sequences -- 4 Experiments -- 4.1 Datasets and Models -- 4.2 Results -- 5 Conclusion -- References -- Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Fair Dynamic Survival Model -- 3.2 Individual Fairness -- 3.3 Group Fairness -- 4 Experiments -- 4.1 Quantitative Analysis -- 4.2 Sensitivity Study -- 5 Conclusions -- References -- Machine Learning -- DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs -- 1 Introduction -- 2 Related Works -- 2.1 Fake Health News Datasets -- 2.2 Fake News Datasets -- 3 Data Collection -- 3.1 News Articles and Ground Truth Collection -- 3.2 Preparing the Tweets Collection -- 3.3 Tweets Collection -- 4 Rumor Classification Using DAT@Z21 -- 4.1 Baselines -- 4.2 Experiment Settings -- 4.3 Experimental Results -- 5 Conclusion and Perspectives -- References. Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? -- 1 Introduction -- 2 Related Work -- 3 Measuring Discrimination -- 4 Problem Formulation -- 5 Methodology -- 6 Evaluation -- 6.1 Comparing Pre-processors -- 6.2 Investigating the Fairness-Agnostic Property -- 7 Conclusion -- 8 Discussion and Future Work -- A Proof of Time Complexity -- References -- Random Hypergraph Model Preserving Two-Mode Clustering Coefficient -- 1 Introduction -- 2 Preliminaries -- 3 Extending the Hyper dK-Series to the Case of dv = 2.5+ -- 4 Experiments -- 5 Conclusion -- References -- A Non-overlapping Community Detection Approach Based on -Structural Similarity -- 1 Introduction -- 2 Preliminaries -- 3 A Hierarchical Clustering Approach Based on -Structural Similarity -- 4 Experiments -- 5 Conclusion and Future Work -- A Appendix a -- B Appendix B -- References -- Improving Stochastic Gradient Descent Initializing with Data Summarization -- 1 Introduction -- 2 Definitions -- 2.1 Input Data Set -- 2.2 LR Model -- 3 System and Algorithms -- 3.1 Gamma Summarization () -- 3.2 Mini-batch SGD -- 3.3 Mini-batch SGD Initialization Using Gamma -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Related Work -- 6 Conclusions -- References -- Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster -- 1 Introduction -- 2 Related Work -- 3 Basic Concept of RBF Tweet Classification -- 3.1 Extraction of BF Tweets -- 3.2 RBF Tweet Extraction and Classification -- 4 Analysis of RBF Tweets -- 4.1 Training and Test Data -- 4.2 Research Question -- 4.3 Results and Discussion of Research Questions -- 5 Conclusion -- References -- Exploring Dialog Act Recognition in Open Domain Conversational Agents -- 1 Introduction -- 2 Related Works. 3 Proposed Dialog Act Taxonomy -- 3.1 Data Sources -- 4 Proposed Dialog Act Classifier -- 4.1 Experimental Setup -- 4.2 Performance Evaluation -- 4.3 Generalizability of Model -- 5 Conclusion -- References -- UniCausal: Unified Benchmark and Repository for Causal Text Mining -- 1 Introduction -- 2 Related Work -- 2.1 Tasks -- 2.2 Datasets -- 2.3 Other Large Causal Resources -- 3 Methodology -- 3.1 Creation of UniCausal -- 3.2 Baseline Model -- 4 Experiments -- 4.1 Baseline Performance -- 4.2 Impact of Datasets -- 4.3 Adding CauseNet to Investigate the Importance of Linguistic Variation in Examples -- 5 Conclusion -- References -- Deep Learning -- Accounting for Imputation Uncertainty During Neural Network Training -- 1 Introduction -- 2 Related Works -- 3 Contributions -- 3.1 Single-Hotpatching -- 3.2 Multiple-Hotpatching -- 4 Experiments -- 4.1 Experimental Protocol -- 4.2 Results -- 5 Discussion and Conclusion -- References -- Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Datasets and Preprocessing -- 4 Implementation -- 4.1 Traditional ML Approaches -- 4.2 DL Approaches -- 4.3 The Ensemble Stack ML Model -- 4.4 The Hybrid ML-DL Model -- 5 Results and Analysis -- 6 Conclusion and Future Work -- References -- Attention-Based Counterfactual Explanation for Multivariate Time Series -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Notation -- 3.2 Proposed Method -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Methods -- 4.3 Experimental Result -- 5 Conclusion -- References -- DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework -- 1 Introduction -- 2 Related Work -- 3 DRUM -- 4 Evaluation -- 5 Conclusion -- References. Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. |
| Record Nr. | UNINA-9910741143403321 |
|
Wrembel Robert
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Performance Evaluation: Modelling Techniques and Tools [[electronic resource] ] : Modelling Techniques and Tools. 7th International Conference, Vienna, Austria, May 3 - 6, 1994. Proceedings / / edited by Günter Haring, Gabriele Kotsis
| Computer Performance Evaluation: Modelling Techniques and Tools [[electronic resource] ] : Modelling Techniques and Tools. 7th International Conference, Vienna, Austria, May 3 - 6, 1994. Proceedings / / edited by Günter Haring, Gabriele Kotsis |
| Edizione | [1st ed. 1994.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1994 |
| Descrizione fisica | 1 online resource (XI, 469 p.) |
| Disciplina | 004.24/01/1 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer simulation
Computer system failures Quality control Reliability Industrial safety Simulation and Modeling System Performance and Evaluation Quality Control, Reliability, Safety and Risk |
| ISBN | 3-540-48416-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Techniques and tools for reliability and performance evaluation: Problems and perspectives -- Experimental analysis of parallel systems: Techniques and open problems -- Performance experiences of the Barcelona Olympic games computer system -- Performance tools on intel scalable high performance computing systems -- Modelling aspects of model-based dynamic QoS management by the Performability Manager -- Waiting time distributions for processor sharing queues with state-dependent arrival and service rates -- Queueing models of parallel applications: The Glamis methodology -- Automatic scalability analysis of parallel programs based on modeling techniques -- Simulation of ATM computer networks with CLASS -- NetSim — A tool for modeling the performance of circuit switched multicomputer networks -- ATMSWSIM An efficient, portable and expandable ATM SWitch SIMulator tool -- A model for performance estimation in a multistreamed superscalar processor -- Accelerating the evaluation of parallel program performance models using distributed simulation -- An algorithm for off-line detection of phases in execution profiles -- Experiences on SIMD massively parallel GSPN analysis -- PAPS — The parallel program performance prediction toolset -- qcomp: A tool for assessing online transaction processing scalability -- QPN-Tool for qualitative and quantitative analysis of queueing Petri nets -- Software architecture of the EPOCA integrated environment -- The PEPA workbench: A tool to support a process algebra-based approach to performance modelling -- On the accuracy of memory reference models -- Automatically estimating network contention of parallel programs -- Modelling of communication contention in multiprocessors -- Using Interval Timed Coloured Petri Nets to calculate performance bounds -- Analyzing PICL trace data with MEDEA. |
| Record Nr. | UNISA-996466238503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1994 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
