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ORCID23rd ICMLA 2024: Miami, FL, USA
- M. Arif Wani, Plamen Angelov, Feng Luo, Mitsunori Ogihara, Xintao Wu, Radu-Emil Precup, Ramin Ramezani, Xiaowei Gu:
International Conference on Machine Learning and Applications, ICMLA 2024, Miami, FL, USA, December 18-20, 2024. IEEE 2024, ISBN 979-8-3503-7488-9 - Jake S. Rhodes, Adam G. Rustad:
Graph Integration for Diffusion-Based Manifold Alignment. 1-8 - Yuekai Wang:
Iterative Feedback-Enhanced Prompting: A Green Algorithm for Reducing Household Food Waste. 1-4 - T. Scott Brandes, Letitia W. Li, Daniel Clymer, Eric C. Blair, Michael K. Miller, Marco A. Pravia:
Concurrent Learning of Bayesian Agents with Deep Reinforcement Learning for Operational Planning. 1-8 - Yameng Guo, Seppe vanden Broucke:
Learning from Uncertainty: Improving Churn Prediction using Conformal Confidence Intervals. 9-16 - Kentaro Shiga, Shuichiro Haruta, Zhi Li, Takahiro Hara:
Domain Adaptation Utilizing Texts and Visions for Cross-domain Recommendations with No Shared Users. 17-24 - Andrea Treviño Gavito, Diego Klabjan, Jean Utke:
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. 25-32 - Md. Kishor Morol, Shakib Sadat Shanto, Zishan Ahmed, Ahmed Shakib Reza:
MultiLangMemeNet: A Unified Multimodal Approach for Cross-Lingual Meme Sentiment Analysis. 33-40 - Junior Samuel López-Yépez, Antoine Fagette, Charles Dansereau, Filipe Carvalhais Sanches:
Leveraging A* Pathfinding for Efficient Deep Reinforcement Learning in Obstacle-Dense Environments. 41-46 - Rinor Cakaj, Jens Mehnert, Bin Yang:
Squeeze-and-Remember Block. 47-54 - Thiru Radhakrishnan, Emilio Ingenito, Ugo A. Buy, M. Pieta Keller, Kyle W. Boerke:
Detection of Behavioral Health Challenges in High School Students. 55-62 - George Rayment, Michael Kampouridis:
Enhancing High-Frequency Trading with Deep Reinforcement Learning Using Advanced Positional Awareness Under a Directional Changes Paradigm. 63-70 - Jivitesh Sharma, Stefan Jetschny, Miquel S. Maza, Nuria B. Guardia, Eulalia Peris, Jaume F. Esteve, Mohamed B. Belaid:
Deep Neural Networks for Comprehensive Environmental Noise Estimation in European Cities. 71-78 - Atul Rawal, Rayam Jawa, Zuben E. Sauna:
A Machine Learning Approach for Identifying HLA Variants Associated with Symptomatic and Asymptomatic COVID-19. 79-84 - Ashkan Ebadi:
iTRACE: In-Depth Trends and Root Cause Analysis of Canadian Public Service Employee Survey. 85-90 - Guan Huang, Tao Shu:
A Global-Local Probsparse Self-Attention Transformer for LEO Satellite Orbit Prediction. 91-98 - Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton, Gary K. Owens, Donald E. Brown:
ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation. 99-106 - Daniel Scholz, Oliver Emonds, Felix Kreutz, Pascal Gerhards, Jiaxin Huang, Klaus Knobloch, Alois Knoll, Christian Mayr:
Capturing Uncertainty over Time for Spiking Neural Networks by Exploiting Conformal Prediction Sets. 107-114 - Yash Vivek Zambre, Ekdev Rajkitkul, Akshatha Mohan, Joshua Peeples:
Spatial Transformer Network YOLO Model for Agricultural Object Detection. 115-121 - Fatahlla Moreh, Yusuf Hasan
, Zarghaam Haider Rizvi, Frank Wuttke, Sven Tomforde:
Wave-Based Neural Network with Attention Mechanism for Damage Localization in Materials. 122-129 - Htoo Wai Aung, Jiao Jiao Li, Yang An, Steven W. Su:
Enhancing EEG Motor Imagery Time Point Signal Classification through Reinforcement Learning and Graph Neural Networks. 130-135 - Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau:
ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL. 136-143 - Matthew Green, John W. Sheppard:
On the Performance and Robustness of Linear Model U-Trees in Mimic Learning. 152-159 - Sofia Krylova, Fabian Schmidt, Vladimir Vlassov:
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews. 160-167 - Parham Oveissi, Mohammad Mirtaba, Ankit Goel:
Learning-Based Attitude Estimation with Noisy Measurements and Unknown Gyro Bias. 168-175 - Chenyang Wang, Jonathan Diller, Qi Han:
LLM for Generating Simulation Inputs to Evaluate Path Planning Algorithms. 176-181 - Guillem Escriba, David Pérez, Nicolás Vila, Daniel Marín, Miquel Oliver:
Unsupervised Anomaly Detection in Urban Water Networks U sing a Hierarchical Deep Learning Model. 182-189 - Chrisantus Eze, Christopher Crick:
A3: Active Adversarial Alignment for Source-Free Domain Adaptation. 190-197 - Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers, Martin Atzmueller:
An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications. 198-205 - Mallika Boyapati, Lokesh Meesala, Ramazan Aygun, Bill Franks, Hansook Choi, Sereres Riordan, Girish Modgil:
Qualitative Diagnosis of LLMs as Judges Using LevelEval. 206-213 - Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Learnable Deep Wavelet Packet Transform for Speech Emotion Recognition in High-Risk Suicide Calls. 214-221 - Muhammad Saud Ul Hassan, Kashif Liaqat, Laura Schaefer:
Adarmer: An Adaptive Transformer for Direct Normal Irradiance Forecasting. 222-229 - W. K. Malithi Mithsara, Abdur R. Shahid, Ning Yang:
Intelligent Fall Detection and Emergency Response for Smart Homes Using Language Models. 230-235 - Kewei Wang, Yuwei Mao, Mahmudul Hasan, Md Maruf Billah, Muhammed Nur Talha Kilic, Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Pinar Acar, Ankit Agrawal:
Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing. 236-241 - Michael J. Hughes, Sven Schewe:
Natural Adversarial Attacks. 242-249 - Bingcheng Li:
Diffusion Equation Based Subspace Extraction of Image Data for Fast K-Means. 250-255 - Zoe Hancox, Sarah R. Kingsbury, Andrew Clegg, Philip G. Conaghan, Samuel D. Relton:
Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement Using Electronic Health Records. 256-263 - Mary Anne Walauskis, Taghi M. Khoshgoftaar:
New Class Labeling and Evaluation Methodology for Balanced and Highly Imbalanced Data. 264-271 - Cate Dunham, Maria Barger, Randy C. Paffenroth, Joshua R. Uzarski, Chia-Wei Tsai:
Oracle Embeddings for Chemical Detection. 272-279 - Birgit Kühbacher, Fernando Iglesias-Suarez, Niki Kilbertus, Veronika Eyring:
Towards Physically Consistent Deep Learning For Climate Model Parameterizations. 280-287 - Thuan Nguyen, D. Richard Brown:
On Contrastive Learning for Domain Generalization. 288-295 - Arthur Müller, Lukas Vollenkemper:
Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling. 296-303 - Preston Billion Polak, Taghi M. Khoshgoftaar:
An Evaluation of Low-Shot Learning Techniques for the Detection of Credit Card Fraud. 304-311 - Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik:
Learning Interpretable Policies in Hindsight-Observable POMDPs Through Partially Supervised Reinforcement Learning. 312-319 - Shengnan Hu, Gita Sukthankar:
Multimodal Fusion Networks for Workload Modeling. 320-324 - Turibius Rozario, Parham Oveissi, Ankit Goel:
Matrix-Based Representations and Gradient-Free Algorithms for Neural Network Training. 325-332 - Mourad El Hamri, Issam Falih, Yves Rozenholc:
Hierarchical Representation for Multi-Source Domain Adaptation via Wasserstein Barycenter. 333-338 - Prasang Gupta, Prajjwal Gupta, Shaz Hoda, Anand S. Rao:
GADLE: A Robust Alternative to Reinforcement Learning for Systematic Investment. 339-345 - Benjamin Poole, Rajan Ratnakumar, Dulip Tharaka Madurasinghe, Christian Kümmerle, Ganesh Kumar Venayagamoorthy, Minwoo Lee:
Data-Driven Graph Construction of Power Flow Graphs for Electric Power Transmission Networks. 346-353 - Makbule Gulcin Ozsoy:
Multi-Margin Cosine Loss: Proposal and Application in Recommender Systems. 354-360 - Rafael O. Jarczewski, Eduardo Cerqueira, Luiz F. Bittencourt, Antonio A. F. Loureiro, Leandro A. Villas, Allan Mariano de Souza:
Let's Federate - Effective Communication Strategy for Dynamic Client Participation. 361-368 - MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
Enhancing Multivariate Time Series-Based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning. 369-376 - Latherial Calbert, Navid Hashemi Tonekaboni:
Temporal Dynamics of Classroom Stress: Insights from Wearable Sensors and Machine Learning. 377-384 - Mingqi Li, Feng Luo:
Effectively Prompting Small-Sized Language Models for Cross-Lingual Tasks via Winning Tickets. 385-393 - Sai Puppala, Ismail Hossain, Md Jahangir Alam, Sajedul Talukder:
SAFARI: Self-regulAted Clustered FederAted Learning in a HeteRogeneous EnvIronment. 394-399 - Ozmen Erkin Kokten, Raviv Raich, James Holmes, Alan Fern:
Learning Extended Forecasts of Soil Water Content via Physically-Inspired Autoregressive Models. 400-407 - Jinyoon Kim, Tianjie Chen, Hien Nguyen, Md Faisal Kabir:
YOLO-SCSA: Enhanced YOLOv8 with Spatially Coordinated Shuffling Attention Mechanisms for Skin Cancer Detection. 408-415 - Yuma Dose, Shuichiro Haruta, Yihong Zhang, Takahiro Hara:
Hypergraph Contrastive Learning with Graph Structure Learning for Recommendation. 416-423 - Kexin Zheng, Ang Li, T. K. Satish Kumar:
FastMapSVM/FastMapSVR for Predictive Tasks on CSPs, SAT, and Weighted CSPs. 424-431 - Hanyue Liu, Marina Bueno García, Nikolaos Korkakakis:
Exploring Multi-Label Data Augmentation for LLM Fine-Tuning and Inference in Requirements Engineering: A Study with Domain Expert Evaluation. 432-439 - Md Asaduzzaman Noor, John W. Sheppard, Jason A. Clark:
Identifying Hierarchical Community Structures in Content-Based Scholarly Social Networks. 440-447 - András Kalapos, Bálint Gyires-Tóth:
Whitening Consistently Improves Self-Supervised Learning. 448-453 - Muhammad KaleemUllah Khan, Kaiwen Zhang, Chamseddine Talhi:
FL-EGM: Decentralized Federated Learning using Aggregator Selection with Enhanced Global Model. 454-461 - Agastya Chennamsetty, Atul Dubey:
Enhancing Allergy Prediction Accuracy Through Machine Learning and ProteinBERT. 462-467 - Mafizur Rahman, Lin Li, Lijun Qian, Max Huang:
Comparative Analysis of Inference Performance of Pre-Trained Deep Neural Networks in Analog Accelerators. 468-475 - Mehta Dharmil Rajesh, Safa Omri, Niclas Renner, Kristian Schaeffer, Jens Neuhüttler, Johannes Schniertshauer:
Evaluation of Few-Shot Learning Algorithms, Training Methods, Backbones and Learning Task for Crack Detection in Manufacturing. 476-482 - Mateus Nunes, Eduardo K. Viegas, Altair O. Santin:
Towards a Feasible Palm Vein Verification Scheme Using Deep Autoencoder and Siamese Networks. 483-489 - Emam Hossain, Md. Osman Gani, Devon Dunmire, Aneesh C. Subramanian, Hammad Younas:
Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet. 490-497 - Austin L. Davis, Gita Sukthankar:
Hidden Pieces: An Analysis of Linear Probes for GPT Representation Edits. 498-505 - Tasnim Pervin, George Bebis, Fang Jiang, Alireza Tavakkoli:
RaceGAN: A Framework for Preserving Individuality While Converting Racial Information for Image-to-Image Translation. 506-513 - Jahanggir Hossain Setu, Syed Tangim Pasha, Nabarun Halder, Sankar Sikder, Ashraful Islam, Md Zahangir Alam:
ECGInsight: A Web Application-Based Approach to Myocardial Infarction Detection From ECG Image Reports Utilizing ResNet. 514-519 - Justin Adebayo Kerobo, Ivica Ico Bukvic:
Real-Time Human-Classified Emotional MIDI Dataset Integration for Symbolic Music Generation. 520-527 - Sabri Mustafa Kahya, Muhammet Sami Yavuz, Boran Hamdi Sivrikaya, Eckehard G. Steinbach:
RFOOD: Real-time Facial Authentication and Out -of-distribution Detection with Short-range FMCW Radar. 528-533 - Abdulaziz Alghamdi, David Mohaisen:
Through the Looking Glass: LLM-Based Analysis of AR/VR Android Applications Privacy Policies. 534-539 - FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Chowdhury Mohammad Abid Rahman, Yenumula Reddy, Prashnna K. Gyawali:
Segmentation of Maya Hieroglyphs through Fine-Tuned Foundation Models. 540-545 - Elhoucine Elfatimi, Pratik Shah:
Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions. 546-553 - Anirudh Narayanan, Sergei Chuprov, Leon Reznik, Raman Zatsarenko, Dmitrii Korobeinikov:
Intelligent Soccer Event Detection and Highlights Generation with Broadcast Cues Integration. 554-559 - MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation. 567-574 - Rohan Putatunda, Sanjay Purushotham, Vandana P. Janeja:
SEATTNET: UNET Enhanced with Squeeze-Excited Attention Gates for Ice-Calving Front Segmentation. 575-582 - Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai:
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. 583-590 - Pankaj Deoli, Koushik Samudrala, Karsten Berns:
Implementation of Off-Road Panoptic-Segmentation Under Dynamic Lighting Conditions. 591-596 - Sahar M. Alzahrani, Sven Schewe, Chao Huang, Xiaowei Huang:
Analytically Determining the Robustness of Binarized Neural Networks. 597-604 - Jonathan C. F. da Silva, Mateus C. Silva, Vicente J. P. Amorim, Pedro S. O. Lazaroni, Ricardo A. R. Oliveira:
An Approach for Data Augmentation in HAR with Wearable Sensors Using TIMEGAN. 605-611 - Avishek Bose, Guojing Cong:
Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive Analysis of Multitarget Drug Effect Prediction. 612-619 - Nischal Khanal, Shivanand Venkanna Sheshappanavar:
EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation. 620-627 - Prashank Kadam:
Financial Fraud Detection using Jump-Attentive Graph Neural Networks. 628-635 - Laura A. Martinho, João M. B. Cavalcanti, José L. S. Pio, Felipe G. Oliveira:
APL: Adaptive Parameter Learning for Image Dehazing. 636-643 - Salman Shuvo, Sayak Mukherjee, Samrat Chatterjee, Sonja Glavaski, Draguna L. Vrabie, Geline Canayon, Matthew Juckes, Raimundo Rodulfo:
Deep Multi-Agent Reinforcement Learning for Real-World Signalized Traffic Corridor Control. 644-651 - Mihhail Daniljuk, Sander Rikka, Sven Nõmm:
Adaptation of Transformer Model for Numeric Case. 652-657 - Suzanne Bussod, Guillaume Sabiron:
Deep Learning-Based Method for an Assessment of Road Traffic Pollutant Estimation from Predicted Driving Behaviors. 658-663 - Tatiana Taís Schein, Gustavo Pereira de Almeira, Stephanie Loi Brião, Rodrigo Andrade de Bem, Felipe G. Oliveira, Paulo L. J. Drews-Jr:
UDBE: Unsupervised Diffusion-Based Brightness Enhancement in Underwater Images. 664-670 - Maryam Tavakol Elahi, WonSook Lee, Philippe Phan:
Swef-UNet: Toward an Efficient Pure Transformer-Based Medical Image Segmentation. 671-676 - Md Sultan Al Nahian, Tasmia Tasrin, Spencer Frazier, Mark O. Riedl, Brent Harrison:
The Goofus & Gallant Story Corpus for Practical Value Alignment. 677-684 - Siva Kumar Katta, Aritra Ray, Farshad Firouzi, Krishnendu Chakrabarty:
KG-Infused LLM for Virtual Health Assistant: Accelerated Inference and Enhanced Performance. 685-691 - Sashank Makanaboyina, Zonglin Yang, Rahul Vijay, Thiruvarangan Ramaraj:
Application of Machine Learning Techniques to Drive Immunological Insights Towards Malaria Prognosis Using Microarray data. 692-696 - Takuya Wakayama, Taiki Inoue, Jun Ogata, Makoto Iida, Tetsuji Ogawa:
WindVibraTransformer: A Foundational Model for Precise and Robust Wind Turbine Condition Monitoring via Vibration Signals. 697-704 - Hamed Poursiami, Ihsen Alouani, Maryam Parsa:
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks. 705-712 - Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps. 713-718 - Brendan Hogan Rappazzo, Aaron M. Ferber, Carla Gomes:
Critic Loss for Image Classification. 719-726 - Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael A. Teti:
Energy-Based Models Trained with Equilibrium Propagation are Inherently Robust. 727-747 - Jarrod Mau, Kevin Moon:
Neural Network Ensembling with Random Features. 748-752 - Aditya Ranganath, Irabiel Romero Ruiz, Mukesh Singhal, Roummel F. Marcia:
Quasi-Adam: Accelerating Adam Using Quasi-Newton Approximations. 753-759 - Travis Scott Hughes, Bhavika Jain, Mahfuza Farooque:
Recommendation Tool for Alleviating Depression and Suicidal Tendencies Through Healthier Social Media Use. 760-765 - M. Shifat Hossain, Sumit Kumar Jha, Chase Walker, Rickard Ewetz:
Out-of-Distribution Detection for Contrastive Models Using Angular Distance Measures. 766-773 - Wenyu Peng, Simeng Zheng, Michael Baluja, Tao Xie, Anxiao Jiang, Paul H. Siegel:
Generalizing Functional Error Correction for Language and Vision-Language Models. 774-781 - Fazle Rahat, M. Shifat Hossain, Md Rubel Ahmed, Rickard Ewetz:
CLE: Context-Aware Local Explanations for High Dimensional Tabular Data. 782-789 - Saeedeh Nasrin Jamali, Yogendra P. Chaubey, Ashkan Ebadi:
Deep Few-Shot Network for Protein Family Classification: Bridging the Gap Between Limited Data and High Performance. 790-793 - Neel Patel, Alexander Wong, Ashkan Ebadi:
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks. 794-797 - Warren D. Graham, Leslie A. Horace, William M. Jones, Sean Tronsen, Sharmistha Chakrabarti, Vanessa Job, Nathan DeBardeleben:
Applied Machine Learning for Surrogate Modeling: A Spatio-Temporal Approach. 798-803 - Nada Abdalla, Muhammad Umar Javed, Damien Forthomme:
Typicality for Information Retrieval with Application on Sample Size Reduction of High Dimensional Data. 804-809 - Haodi Jiang, Jason T. L. Wang:
Solar Image Synthesis with Generative Adversarial Networks. 810-815 - Shen Fan, Przemyslaw Musialski:
Optimizing 3D Geometry Reconstruction from Implicit Neural Representations. 816-821 - Rinor Cakaj, Jens Mehnert, Bin Yang:
Spectral Wavelet Dropout: Regularization in the Wavelet Domain. 822-827 - Shenyang Liu, Saleh Almohaimeed, Liqiang Wang:
REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models. 828-833 - Hugo Cazaux, Ralph Rudd, Hlynur Stefansson, Sverrir Ólafsson, Eyjólfur Ingi Ásgeirsson:
Centralized Multi-Agent Proximal Policy Optimization with Attention. 834-840 - Xavier Casanova, Maria Baldeon Calisto:
Impact of Transfer Learning on Transformers Networks for Prostate Image Segmentation. 841-844 - Christian I. Narcia-Macias, Joselito Guardado, Jocell Rodriguez, Junseong Park, Joanne Rampersad-Ammons, Erik Enriquez, Dong-Chul Kim:
IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System. 845-850 - Rafael Sterzinger, Wolfgang Koch, Ralph Hoch:
Exploring Machine Learning for Faster Mapping and Scheduling of Automotive Applications on ADAS Platforms. 851-855 - Kishan Wimalawarne, Taro Sawaki, Motokiyo Hirayama, Takanobu Kawahara, Taiji Suzuki:
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs. 856-863 - Liv Björkdahl, Oskar Pauli, Johan Östman, Chiara Ceccobello, Sara Lundell, Magnus Kjellberg:
Towards Holistic Disease Risk Prediction using Small Language Models. 864-869 - Itamar Efrati, Shai Fine:
Variational Information Bottleneck with Gaussian Processes for Time-Series Classification. 870-875 - Jay Paul Morgan, Frederic Boy:
Predicting Temporal Patterns in Keyword Searches with Recurrent Neural Networks - Phenotyping Human Behaviour from Search Engine Usage. 876-881 - Marzieh Khosravi, Shima Ghoochani, Hanieh Shabanian:
Deep Learning-Based Modeling of Daily Suspended Sediment Concentration and Discharge in Esopus. 882-887 - Vasil Shteriyanov, Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson:
Robust Detection of Line Numbers in Piping and Instrumentation Diagrams (P&IDs). 888-893 - Lei Zheng, Chao Zhang, Marc Bracke, Lars Gansel, Ricardo da Silva Torres:
Detecting Salmon Lice in Seawater Using Synthetic Datasets. 894-899 - Jerry Bonnell, Stefan Wuchty, Mitsunori Ogihara:
Improving Audience Ratings Prediction of Japanese TV Dramas Using Knowledge-Based Embeddings. 900-905 - Kento Hasegawa, Seira Hidano, Kazuhide Fukushima:
RAG Certainty: Quantifying the Certainty of Context-Based Responses by LLMs. 912-917 - Topon Kumar Paul, Vidhisha Reddy, Sai Prem Kumar Ayyagari, Ryusei Shingaki, Kaneharu Nishino:
Forecasting of Low Visibility Using Weather and Air Quality Data for Safe and Smooth Transportation Operation. 918-923 - Ioannis Katoikos, Christos A. Fidas, Dimitrios Koukopoulos:
Machine Learning Meets EEG: A Novel Approach to PGA-Based Authentication Systems. 924-929 - Emmanuel Kwarteng, Mumin Cebe, Jamila Kwarteng:
CyberLlama2 - MEDICALHARM Threat Modeling Assistant. 930-934 - Jie Chen, Zihao Mo, Tao Wang, Weiming Xiang:
Approximate Bisimulation Relation Restoration for Neural Networks Based On Knowledge Distillation. 935-938 - Muhammad Waqas Ashraf, Ali Hassan, Imad Ali Shah:
V-CAS: A Realtime Vehicle Anti Collision System Using Vision Transformer on Multi-Camera Streams. 939-944 - Junmin Zhong, Daniel Nikovski, William Yerazunis, T. Ando:
Learning Time-Optimal Control of Gantry Cranes. 945-950 - Hassan Shakil, Atqiya Munawara Mahi, Phuoc Nguyen, Zeydy Ortiz, Jugal Kalita, Mamoun T. Mardini:
Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT. 951-956 - Jonas Krause, Alexandre C. A. Beiruth, Jean Paul Barddal, Alceu S. Britto Jr., Vinícius M. A. de Souza:
Fuels Demand Forecasting: Identifying Leading Feature Sets, Prediction Strategy, and Regressors. 957-962 - Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller:
Graph Signal Processing Unearths the Best Locations for Soil Moisture Sensors. 963-968 - Md. Riyadh, M. Omair Shafiq:
ECSGen and iZen: A New NLP Task and a Zeroshot Framework to Perform it. 969-974 - Asmae Lamsaf, Hugo Proença, João C. Neves:
CFC-ATE: Causal Feature Construction via Average Treatment Effect. 975-980 - Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Combining Transfer Learning and Representation Learning to Improve Predictive Analytics on Small Materials Data. 981-984 - Hongbo Pang, Changcheng Huang:
Pedestrian Detection: An Explainable Approach. 985-990 - Harold Wang, Xunfei Jiang, Mahdi Ebrahimi:
Scheduled Sampling for Recursive Multi-Step GPU Temperature Forecasting. 991-996 - Muhammed Nur Talha Kilic, Yuwei Mao, Vishu Gupta, Alok N. Choudhary, Wei-keng Liao, Ankit Agrawal:
Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder. 997-1000 - Aneesha Guna, Parth Ganeriwala, Siddhartha Bhattacharyya:
Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV). 1001-1004 - Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Karissa Schipke:
Temporal Tensor Factorization: A Framework for Low-Rank Multilinear Time Series Forecasting. 1005-1010 - Philipe Fransozi, Jhonatan Geremias, Eduardo K. Viegas:
A Multi-View Android Malware Detection Model Through Multi-Objective Optimization. 1011-1015 - Paulo Luza Alves, Andre G. Hochuli, Luiz Eduardo Soares de Oliveira, Paulo R. Lisboa de Almeida:
Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers. 1016-1020 - Muhammed Nur Talha Kilic, Vishu Gupta, Yuwei Mao, Kewei Wang, Alec Peltekian, Alok N. Choudhary, Wei-keng Liao, Ankit Agrawal:
Enhancing Deep Neural Network Classification Performance Through Novel Weight Initialization: t-SNE Supported Walsh Matrix Approach. 1021-1024 - Aaron J. Masino, Ranga Baminiwatte:
Automated Shared Phenotype Discovery in Undiagnosed Cohorts for Rare Disease Research. 1025-1030 - Flore Stécie Norcéide, Emi Aoki, Vinh Tran, Masoumeh Farhadi Nia, Charles Thompson, Kavitha Chandra:
Positional Tracking of Physical Objects in an Augmented Reality Environment Using Neuromorphic Vision Sensors. 1031-1036 - Taehee Jeong:
4bit-Quantization in Vector-Embedding for RAG. 1037-1042 - Austin Yunker, Rajkumar Kettimuthu, Zachary Kral:
DOC-DICAM: Domain Aware One Class Defect Identification in Composite Aerostructure Material. 1043-1048 - Jonathan Cordova, Xunfei Jiang, Xudong Jia, Bingbing Li:
3D Vehicle Detection in Roadside Traffic Flow Using Complex-YOLO. 1049-1054 - Zihao Mo, Yejiang Yang, Weiming Xiang:
Discrepancy-Based Knowledge Distillation for Image Classification Restoration. 1055-1060 - SaiAsrith EVNM Baddepudi, Akshay Agarwal:
On the Effectiveness of a Hybrid Model for Volatility Prediction. 1061-1064 - Chowdhury Mohammad Abid Rahman, Nishat B. Alam, Amr S. El-Wakeel, JuHyeong Ryu, Prashnna K. Gyawali:
Multi-Task Learning for Material Property Prediction. 1065-1070 - Vishal Vaitla, Melody Moh, Teng-Sheng Moh:
Enhancing Dialogue Analysis in Multiparty Meetings Through Argument and Relation Classification Models. 1071-1076 - Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data. 1077-1082 - Shengzhe Jiao, Yihong Zhang, Yuanyuan Wang, Shingo Mabu, Haoyang Xia, Takahiro Hara:
Multi-Modal Contrastive Learning for Medical Image Classification with Limited Training Data. 1083-1088 - Ying Chen, Ziwei Xu, Kotaro Inoue, Ryutaro Ichise:
Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation. 1089-1094 - Haotian Yin, Przemyslaw Musialski:
Shrinking: Reconstruction of Parameterized Surfaces from Signed Distance Fields. 1095-1100 - Haider Ilyas, Harika Abburi, Edward Bowen, Balaji Veeramani:
Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift. 1101-1104 - Chetan Kumar, Diana McSpadden, Steven Goldenberg, Malachi Schram, Heather Richter, Yidi Wang, Binata Roy, Jonathan L. Goodall:
Location Invariant Flood Prediction using Fourier Neural Operator. 1105-1110 - András Kalapos, Bálint Gyires-Tóth:
CNN-JEPA: Self-Supervised Pretraining Convolutional Neural Networks Using Joint Embedding Predictive Architecture. 1111-1114 - Sanad Biswas, Nina Grundlingh, Jonathan Boardman, Joseph White, Linh Le:
Target Permutation for Feature Significance and Applications in Neural Networks. 1115-1120 - Karel Fonteyn, Tom Dhaene, Dirk Deschrijver:
Improving Features for Multiple Sclerosis Disability Progression Prediction Through Temporal Alignment of Hospital Visits. 1121-1124 - Abm. Adnan Azmee, Francis Nweke, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, Monica Nandan:
Multi-Label Behavioral Health Classification from Police Narrative Report. 1125-1130 - Jie Lin, David Mohaisen:
Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows. 1131-1134 - Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu:
Quantifying Influencer Impact on Affective Polarization. 1135-1140 - Syed Muhammad Ammar Haider, Raina Samuel:
Analyzing Inconsistencies Across Financial Services Machine Learning Algorithms and Implementations. 1141-1145 - Tahereh Dehdarirad, Ericka Johnson, Gabriel Eilertsen, Saghi Hajisharif:
Enhancing Tabular GAN Fairness: The Impact of Intersectional Feature Selection. 1146-1151 - Timothy Elvira, Tyler Thomas Procko, Lynn Vonderhaar, Omar Ochoa:
Exploring Testing Methods for Large Language Models. 1152-1157 - Audrey Xie, Elhoucine Elfatimi, Sambuddha Ghosal, Pratik Shah:
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images. 1158-1163 - Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi:
Explainable Transformer-based Intrusion Detection in Internet of Medical Things (IoMT) Networks. 1164-1169 - Ahmad Al Zuraiqi, Des Greer:
Evaluating Alignment Techniques for Enhancing LLM Performance in a Closed-Domain Application: A RAG Bench-Marking Study. 1170-1175 - Christian Pionzewski, Rebecca Rademacher, Jérôme Rutinowski, Antonia Ponikarov, Stephan Matzke, Tim Chilla, Pia Schreynemackers, Alice Kirchheim:
Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis. 1176-1181 - Ziauddin Ursani, Dmytro Antypov, Katie Atkinson, Judith Clymo, Matthew S. Dyer, Matthew J. Rosseinsky, Sven Schewe, Andrij Vasylenko:
The Theory of Probabilistic Hierarchical Supervised Ensemble Learning. 1182-1187 - Zhewei Wang, Jundong Liu:
Semi-Supervised Learning and Focal Masking for Vessel Segmentation in X-Ray Coronary Angiography. 1188-1191 - Zheyi Qin, Anura P. Jayasumana, Randy C. Paffenroth:
Virtual-Coordinate Based Sampling and Embedding for Machine Learning with Graph Data. 1192-1197 - Prashank Kadam:
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation. 1198-1203 - Jonathan O'Berry, Xudong Liu:
Media Haze Classification in Retinal Images Using Transfer Learning with Convolutional Neural Networks. 1204-1207 - Weimin Zhao, Qusay H. Mahmoud:
Evaluating the Efficacy of Large Language Models in Automating Academic Peer Reviews. 1208-1213 - Dávid Veres, Ping Li, Visakan Kadirkamanathan:
Learning Input Driven Dynamic Bayesian Networks with Measurement Noise. 1214-1219 - Wei Zhang, Brian Barr, John Paisley:
Gaussian Process Neural Network Embeddings for Collaborative Filtering. 1220-1225 - Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee:
Contrastive Learning with Auxiliary User Detection for Identifying Activities. 1226-1231 - Nicomedes L. Cavalcanti, Francisco de A. T. de Carvalho:
Novel L1-Based Neural Gas Clustering Algorithms. 1232-1237 - Danuka Malinda, Danushka Senarathna, Spyros Tragoudas:
Enhanced Distribution Matching for Multiclass Quantification. 1238-1242 - Harsha Penumatcha, Chandra P. Jaiswal, Sasank Vegesana, Issa W. AlHmoud, Balakrishna Gokaraju:
Developing an Autonomous Robotics System Utilizing Camera and IMU Fusion with PID-Based Path Correction. 1243-1248 - Karthik Sabhanayakam, Arya Kamat, Sohail Zaidi:
Comparative Study of Machine Learning Techniques in Prediction of Superfund Sites. 1249-1252 - Ignacio Loayza Campos, Ricardo Ñanculef Alegría, Roxana Trujillo-Guiñez:
Spectral Recovery Via Spectral-Aware Perceptual Loss. 1253-1258 - Brendan Hogan Rappazzo, Yingheng Wang, Aaron M. Ferber, Carla Gomes:
GEM-RAG: Graphical Eigen Memories for Retrieval Augmented Generation. 1259-1264 - Jiahao Tian, Michael D. Porter:
DeepCensored: Deep-Learning Based Probabilistic Forecasting Framework for Censored Data. 1265-1270 - Ghazaleh Mirzaee, Gianfranco Doretto, Donald A. Adjeroh:
Multi-label Classification using Self-Supervised Learning: Addressing Class Inter-Dependency and Data Imbalance. 1271-1276 - Fadil Santosa, Loren Anderson:
Optimal Parameter Estimation of Biological Systems through Deep Reinforcement Learning. 1277-1282 - Venkata Devesh Reddy Seethi, Ashiqur Rahman, Austin Yunker, Rami Lake, Zachary Kral, Rajkumar Kettimuthu, Hamed Alhoori:
Mixture-of-Experts for Multi-Domain Defect Identification in Non-Destructive Inspection. 1283-1288 - William English, Dominic Simon, Sumit Kumar Jha, Rickard Ewetz:
NSP: A Neuro-Symbolic Natural Language Navigational Planner. 1289-1294 - Avi Lekkelapudi, Darnell Granberry:
Predicting Fold-Switching Protein Behavior Using Graph Neural Networks. 1295-1300 - Arijit Roy, Esha Baweja, Ashish Kumar:
LyriX : Automated Lyrics Transcription Using Deep Learning-Based Residual UNet Model. 1301-1307 - Diya Sreedhar:
Evaluating the Clinical Applicability of Neural Networks for Meningioma Tumor Segmentation on Multiparametric 3D MRI. 1308-1313 - Sanad Aburass, Maha Abu Rumman:
Volumetric Feature Extraction from 2D Images Using Cubixels. 1314-1320 - Tijana Markovic, Sara Moricz, Miguel Leon:
Comparative Evaluation of Autoencoders for Semi-Supervised Anomaly Detection on Univariate Time Series Data. 1321-1328 - M. L. Tlachac, Samuel S. Ogden:
Student Mental Health Screening with Text Message Metadata. 1337-1342 - Khalid Hasan, Jamil Saquer:
A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit. 1343-1349 - Luciano Garim Garcia, Gabriel de Oliveira Ramos, José Manuel Marques Teixeira de Oliveira, Ariane da Silveira:
Enhancing Synthetic Well Logs with PCA-Based GAN Models. 1350-1355 - Jihun Lee, Jisun Hong, Daegil Choi, Jaehyo Jung:
Mental Stress Classification by Attention-Based CNN-LSTM Algorithm of Electrocardiogram Signal. 1356-1361 - Julien de Saint Angel, Christophe Saint-Jean:
Multi-Spheres Anomaly Detection with Hyperspherical Layers. 1362-1367 - Jisun Hong, Jihun Lee, Daegil Choi, Jaehyo Jung:
Depression Classification Algorithm Based on Voice Signals Using MFCC and CNN Autoencoders. 1368-1373 - Taminul Islam, Toqi Tahamid Sarker, Khaled R. Ahmed, Cristiana Bernardi Rankrape, Karla Gage:
WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision Agriculture. 1374-1381 - Gentoku Nakasone, Yoshinari Motokawa, Yuki Miyashita, Toshiharu Sugawara:
Efficient Retraining for Continuous Operability Through Strategic Directives. 1382-1389 - Svetlana Pavlitska, Leopold Müller, J. Marius Zöllner:
Evaluating Adversarial Attacks on Traffic Sign Classifiers Beyond Standard Baselines. 1390-1395 - Tobias Pettersson, Maria Riveiro, Tuwe Löfström:
Real-Time Automatic Checkout via Prompt-Based Product Extraction and Cross-Domain Learning. 1396-1403 - Mohammadreza Mohammadi, Adnan Abdullah, Aishneet Juneja, Ioannis M. Rekleitis, Md Jahidul Islam, Ramtin Zand:
Edge-Centric Real-Time Segmentation for Autonomous Underwater Cave Exploration. 1404-1411 - Raihana Tasnim, Kaushik Roy, Madhuri Siddula:
Interpretable Deep Learning Model for Multiclass Brain Tumor Classification. 1412-1417 - Erick Capulong, Marko Orescanin, Pedro Ortiz, Patrick McClure:
Turn Down the Noise: Perceptually Constrained Attacks for Multi-Label Audio Classification. 1418-1425 - Harriet Sibitenda, Ruofan Hu, Elke A. Rundensteiner, Awa Diattara, Assitan Traore, Cheikh Ba:
Leveraging LLMs for Integrated Sentiment and Topic Analysis on African Social Media. 1426-1431 - Swetha Chittam, David Johnson, Kaushik Roy, Xiaohong Yuan:
Deep Fake Video Classification with Sequential Input Frames Using Hybrid Deep Learning Model and Bayesian Optimization. 1432-1438 - Aviv Yehezkel, Eyal Elyashiv:
Finding an Optimal Small Sample of Training Dataset for Computer Vision Deep-Learning Models. 1439-1446 - Jivitesh Sharma, Stefan Jetschny, Martin Kapun, Mohamed-Bachir Belaid:
Deep Learning-Enhanced Gap Filling in Drosophila Melanogaster Genomic Data. 1447-1453 - Maria Eduarda Maciel Pinto, Alceu de Souza Britto Jr., Andre Gustavo Hochuli:
A Dissimilarity-Based Countermeasure for Detecting Replay Attacks in Speaker Verification. 1454-1459 - Svetlana Pavlitska, Enrico Eisen, J. Marius Zöllner:
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation. 1460-1465 - Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty:
Preserving Accuracy While Stealing Watermarked Deep Neural Networks. 1466-1473 - Ahmed Imteaj, Md. Zarif Hossain, Saika Zaman, Abdur R. Shahid:
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency. 1474-1480 - Zag ElSayed, Makoto Miyakoshi, Nathan Suer, Craig A. Erickson, Grace Westerkamp, Ernest V. Pedapati, Jack Yanchen Liu:
Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation. 1481-1487 - Henry Musto, Daniel Stamate, Daniel Stahl:
Variational Encoder Based Synthetic Alzheimer's Data Generation for Deep Learning, XGBoost and Statistical Survival Analysis. 1488-1495 - Shiquan He, Randy C. Paffenroth, Olivia Cava, Cate Dunham:
Dynamical System Autoencoders. 1496-1503 - Marcelo Eduardo Marques Ribas, Heloisa Benedet Mendes, Luiz Eduardo Soares de Oliveira, Luiz Antonio Zanlorensi, Paulo R. Lisboa de Almeida:
Using Deep Neural Networks to Quantify Parking Dwell Time. 1504-1509 - W. K. Malithi Mithsara, Abdur R. Shahid, Ning Yang:
Zero-Shot Detection and Sanitization of Data Poisoning Attacks in Wearable AI Using Large Language Models. 1510-1515 - Rosina F. Kharal, Saif Al-Din Ali, Usama Mohiuddin, Samir El Sayed:
Securing 3D Deep Learning Models: Simple and Effective Defense Against Adversarial Attacks. 1516-1522 - Arthur S. Williams, Alister Maguire, Braden Soper, Dan M. Merl:
The Innate Curiosity in the Multi-Agent Transformer. 1523-1529 - Mateus A. Fernandes, Eduardo Gildin, Marcio Augusto Sampaio:
Data-Driven Estimation of Flowing Bottom-Hole Pressure in Petroleum Wells Using Long Short-Term Memory. 1530-1537 - Olaoluwa Adigun, Bart Kosko:
Training Deep Neural Classifiers with Soft Diamond Regularizers. 1538-1545 - Sarwat Ali, M. Arif Wani:
Tri-level Optimization for Gradient-based Neural Architecture Search. 1546-1552 - Martin Holen, Svitlana P. Rogovchenko, Gulshan Noorsumar, Morten Goodwin:
Predicting Vehicle Impact Severity With Deep Neural Network for Reinforcement Learning Based Autonomous Vehicle Simulators. 1553-1558 - Hussien AbdelRaouf, Mahmoud Abouyoussef, Mohamed I. Ibrahem:
An Innovative Approach for Human Activity Recognition Based on a Multi-Head Attention Mechanism. 1559-1563 - Amirreza Sobhdel, Roozbeh Razavi-Far, Vasile Palade:
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks. 1564-1569 - Xiaoning Zhao, Toshiharu Sugawara:
Action Selection in Reinforcement Learning with Upgoing Policy Update. 1570-1575 - Narges Yarahmadi Gharaei, Nupur Gaikwad, Darshana Upadhyay, Srinivas Sampalli, Balwantray C. Chauhan, Aliénor J. Jamet:
Comparative Evaluation of Deep Learning Architectures for Retinal Ganglion Cell Counting: FCRN-A, FCRN-A-v2, and U-Net. 1576-1581 - Ajibola Obayemi, Khuong Nguyen:
Leveraging Multimodal Shapley Values to Address Multimodal Collapse and Improve Fine-Grained E-Commerce Product Classification. 1582-1587 - Michela Effendie, Vanessa Aguiar-Pulido:
Multi-Modal AI Approach for Multi-Class Skin Disease Classification. 1588-1592 - Shruti Nair, Vasile Palade, Sara Sharifzadeh, Charley Hill-Butler:
Domain-Invariant Crop Type Mapping Using Transformer-Based Time-Frequency Feature Extraction and Adaptation for Unlabeled Target Regions. 1593-1598 - Arpan Mahara, Naphtali David Rishe, Wenjia Wang, Seyed Masoud Sadjadi:
KAN-Attn GAN: Map Generation with Kolmogorov-Arnold Networks and Attention-Based Queries Selection. 1599-1604 - David Broneske, Nikhilkumar Italiya, Fabian Mierisch:
Tell Me More! Using Multiple Features for Binary Text Classification with a Zero-Shot Model. 1613-1620 - Musarrat Hussain, Ubaid Ur Rehman, Tri D. T. Nguyen, Sungyoung Lee, Seong Tae Kim, Sung-Ho Bae, Jung Uk Kim:
Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models. 1621-1627 - Pablo A. Henríquez:
Sentiment Classification on Twitter(X) Through Ensemble Deep Random Vector Functional Links. 1628-1632 - Youhoo Cha, Younghoon Lee:
Systematical Randomness Assignment for the Level of Manipulation in Text Augmentation. 1633-1638 - Toufik Mechouma, Ismaïl Biskri, Serge Robert:
LingBERT, Linguistic Knowledge Injection into Attention Mechanism Based on a Hybrid Masking Strategy. 1639-1644 - Sherri Weitl-Harms, John D. Hastings, Jonah Lum:
Using LLMs to Establish Implicit User Sentiment of Software Desirability. 1645-1650 - Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya:
Toward Robust Generative AI Text Detection: Generalizable Neural Model. 1651-1656 - Nabarun Halder, Tanjina Piash Proma, Jahanggir Hossain Setu, Arafat Noor, Ashraful Islam, M. Ashraful Amin:
Using Transformers for Emotion Recognition in Bangla Text: A Comparative Study of MultiBERT and BanglaBERT with Data Augmentation. 1657-1662 - Jaden Mu, David Cong, Helen Qin, Ishan Ajay, Keyan Guo, Nishant Vishwamitra, Hongxin Hu:
Detecting Cyberbullying in Visual Content: A Large Vision-Language Model Approach. 1663-1668 - Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov:
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. 1669-1676 - Tootiya Giyahchi, Cornelia Pechmann, Ian Harris:
Empathetic Reflective Response Generation: Towards Conversation Models for Online Mental Health Support. 1677-1684 - Wellington Silveira, Luca Mendonça, Rodrigo de Bem:
LLM-based Sign Language Production. 1685-1690 - Simon Klüttermann, Vanlal Peka, Philipp Doebler, Emmanuel Müller:
Towards Highly Efficient Anomaly Detection for Predictive Maintenance. 1691-1696 - Caleb Combs, Edgar Avalos-Gauna, C. Fred Higgs:
An Evaluation and Comparison of Machine Learning Methods for Prediction of Lubricant Film Thickness. 1697-1704 - Simon Klüttermann, Jérôme Rutinowski, Frederik Polachowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller:
On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification. 1705-1711 - Mathieu Vandecasteele, Domenico Iuso, Milad Hamidi Nasab, Dries Verhees, Joaquim G. Sanctorum, Mohsen Nourazar, Abdellatif Bey-Temsamani, Brian G. Booth:
High-Speed Deformation Prediction in Selective Laser Melting Using Context-Adaptive Neural Networks. 1712-1719 - Renjith Prasad, Chathurangi Shyalika, Fadi El Kalach, Revathy Venkataramanan, Ramtin Zand, Ramy F. Harik, Amit P. Sheth:
AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines. 1720-1727 - Sérgio B. Júnior, Saulo Martiello Mastelini, Marcos B. S. Paula, Moisés R. Santos, Ewerton Guarnier, Donato da Silva-Filho, Maria E. C. M. Santos, Thaina R. Fernandes, Victor C. V. Rosa:
Brazilian Free-Energy Market Mid-and Long-Term Forecasting Using Multi-Source Ensemble Solution. 1728-1735 - Fatima Zahrae Nakach, Ali Idri, Apostolia Tsirikoglou:
Fusion of Real and Synthetic Subtracted Contrast-Enhanced Mammograms for Enhanced Tumor Detection. 1736-1740 - Ashkan Ebadi:
iPEERS: A Multi-Layered Expert Recommender System for Enhanced Customer Support. 1741-1746 - Ashkan Ebadi, Alain Auger, Yvan Gauthier:
Harnessing Machine Learning and Stock Market Techniques for Signal Detection in Underwater Sensing Technologies. 1747-1752 - Nastaran Enshaei, Stéphane Tremblay, Patrick Paul, Ashkan Ebadi:
Advancing Energy Monitoring: Deep Learning for Automated Non-Smart Gas Meter Readings. 1753-1758 - Michael Kimollo, Xudong Liu:
Aircraft Engine Remaining Useful Life (RUL) Prediction Using Machine Learning. 1759-1763 - Ziauddin Ursani, Dmytro Antypov, Katie Atkinson, Judith Clymo, Matthew S. Dyer, Matthew J. Rosseinsky, Sven Schewe, Andrij Vasylenko:
Hierarchical Supervised Monte Carlo Ensemble Learning. 1764-1771 - Sahar Khazali, Tariq Al Shoura, Ehsan Jalilian, Mohammad Moshirpour:
Enhancing Pipeline Monitoring: Optimizing Window Size with Monte Carlo Search and CB-AttentionNet. 1772-1779 - Chenqi Li, JingTao Yao:
A Game-Theoretic Framework for Approximation with Soft Sets. 1780-1785 - Davoud Gholamiangonabadi, Katarina Grolinger:
Clustered Federated Learning with Non-IID Data: Mitigating Accuracy Overestimates Through Hold-Out Model Selection and Evaluation. 1786-1791 - Robert Schiller, Trupti Chavan, Akshay Kakkar, Viraj E, Don Williams, Derek Snaidauf, Edward Bowen, Deepak Mittal, Sunil R. Tiyyagura:
Domain Contextual and Relational Graph Model for Predictive Maintenance. 1792-1797 - Hao Niu, Guillaume Habault, Defu Cao, Yizhou Zhang, Roberto Legaspi, Huy Quang Ung, James Enouen, Shinya Wada, Chihiro Ono, Atsunori Minamikawa, Yan Liu:
Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting. 1798-1803 - Carola Lenzen, Wolfgang Reif:
Localized Recommendation in Assembly Modeling: Employing GNNs for Targeted Part Placement. 1804-1809 - Hrant Gharibyan, Vincent Paul Su, Hayk Tepanyan:
Hierarchical Learning for Training Large-Scale Variational Quantum Circuits. 1810-1814 - Travis Lee, Muhammad Ismail, Samuel Yen-Chi Chen:
Mitigating the Effects of Concept Drift from Data Streams in Quantum Machine Learning. 1815-1820 - Vidur Reddy Jannapureddy, Shinjae Yoo, Huan-Hsin Tseng:
Utilizing a Hybrid Matrix Product State and Variational Quantum Circuit Architecture for the Detection of Kidney Diseases. 1821-1826 - Md Majedul Islam, Jing Selena He:
Quantum Machine Learning for Computer Vision: A Survey. 1827-1832 - John G. Warner, Vishal Patel:
Towards Multi-Class Open-Set Recognition by Use of Lower Dimensional Latent Space Embeddings. 1833-1843 - Viswadeep Lebakula, Daniel S. Adams, Justin Epting, Clinton Stipek, Marie L. Urban:
Detecting Important Drivers of Gridded Population Modeling With Machine Learning. 1844-1851 - Andrés Leiva-Araos, Tushya Vemuri, David Mena, Xudong Liu:
Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning. 1852-1857 - Sean D. Kim, John G. Warner, Quinton Davidson, Michael Tietz:
Characterizing the Impact of Common Electro-Optical Sensor Anomalies on Maritime Image Classifiers. 1858-1864 - Taylor J. Brown, Matthew Wilkerson, Brian Blanton, Sambit Bhattacharya:
Pragmatic and ML Approaches to Backfilling Missing Data Within Time Series Datasets. 1865-1871 - Fabrizio Mori, Antonio Emanuele Cinà, Fabio Roli, Davide Anguita, Luca Oneto:
Toward Measuring and Understanding the Overvalidation Phenomena. 1872-1877 - Irene Buselli, Anna Pallarès López, Eduard Martín Jiménez, Davide Anguita, Fabio Roli, Luca Oneto:
Mitigating Unfair Regression in Machine Learning Model Updates. 1878-1884 - Sheila Alemany, Niki Pissinou, Brian Yang:
Increasing Adversarial Robustness Around Uncertain Boundary Regions with Amodal Segmentation. 1885-1891 - Sheila Alemany, Emma Worthington, Alberto Luis Dominguez, Ilan Grapel, Niki Pissinou:
Unifying Robust Activation Functions for Reduced Adversarial Vulnerability with the Parametric Generalized Gamma Function. 1892-1899 - Aviv Yehezkel:
An Efficient Approach for Enhancing GenAI Trustworthiness. 1900-1905 - Vijen Mehta, Kunal Agrawal, Charan Teja Madabathula, Ming-Hwa Wang:
Minimizing Hybrid Electric Power Generation Costs Using Smart Power Grid Solution. 1906-1913 - Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo:
Mutual Information-Based Feature Selection for Federated Learning Environments. 1914-1919 - Maryam Khaksar Ghalati, Jianbo Zhang, Amadi Gabriel Udu, Hongbiao Dong:
Dynamic Prediction of Reblowing Necessity in BOF Steelmaking. 1924-1927 - Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Frank Wuttke, Sven Tomforde:
MCMN Deep Learning Model for Precise Microcrack Detection in Various Materials. 1928-1933
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