ICMLA C

288 papers

YearTitle / Authors
20243D Vehicle Detection in Roadside Traffic Flow Using Complex-YOLO.
Jonathan Cordova, Xunfei Jiang, Xudong Jia, Bingbing Li
20244bit-Quantization in Vector-Embedding for RAG.
Taehee Jeong
2024A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit.
Khalid Hasan, Jamil Saquer
2024A Dissimilarity-Based Countermeasure for Detecting Replay Attacks in Speaker Verification.
Maria Eduarda Maciel Pinto, Alceu de Souza Britto Jr., Andre Gustavo Hochuli
2024A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks.
Amirreza Sobhdel, Roozbeh Razavi-Far, Vasile Palade
2024A Game-Theoretic Framework for Approximation with Soft Sets.
Chenqi Li, JingTao Yao
2024A Global-Local Probsparse Self-Attention Transformer for LEO Satellite Orbit Prediction.
Guan Huang, Tao Shu
2024A Machine Learning Approach for Identifying HLA Variants Associated with Symptomatic and Asymptomatic COVID-19.
Atul Rawal, Rayam Jawa, Zuben E. Sauna
2024A Multi-View Android Malware Detection Model Through Multi-Objective Optimization.
Philipe Fransozi, Jhonatan Geremias, Eduardo K. Viegas
2024A3: Active Adversarial Alignment for Source-Free Domain Adaptation.
Chrisantus Eze, Christopher Crick
2024APL: Adaptive Parameter Learning for Image Dehazing.
Laura A. Martinho, João M. B. Cavalcanti, José L. S. Pio, Felipe G. Oliveira
2024Action Selection in Reinforcement Learning with Upgoing Policy Update.
Xiaoning Zhao, Toshiharu Sugawara
2024Adaptation of Transformer Model for Numeric Case.
Mihhail Daniljuk, Sander Rikka, Sven Nõmm
2024Adarmer: An Adaptive Transformer for Direct Normal Irradiance Forecasting.
Muhammad Saud Ul Hassan, Kashif Liaqat, Laura Schaefer
2024Advancing Energy Monitoring: Deep Learning for Automated Non-Smart Gas Meter Readings.
Nastaran Enshaei, Stéphane Tremblay, Patrick Paul, Ashkan Ebadi
2024Aircraft Engine Remaining Useful Life (RUL) Prediction Using Machine Learning.
Michael Kimollo, Xudong Liu
2024An Approach for Data Augmentation in HAR with Wearable Sensors Using TIMEGAN.
Jonathan C. F. da Silva, Mateus C. Silva, Vicente J. P. Amorim, Pedro S. O. Lazaroni, Ricardo A. R. Oliveira
2024An Efficient Approach for Enhancing GenAI Trustworthiness.
Aviv Yehezkel
2024An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications.
Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers, Martin Atzmueller
2024An Evaluation and Comparison of Machine Learning Methods for Prediction of Lubricant Film Thickness.
Caleb Combs, Edgar Avalos-Gauna, C. Fred Higgs
2024An Evaluation of Low-Shot Learning Techniques for the Detection of Credit Card Fraud.
Preston Billion Polak, Taghi M. Khoshgoftaar
2024An Innovative Approach for Human Activity Recognition Based on a Multi-Head Attention Mechanism.
Hussien AbdelRaouf, Mahmoud Abouyoussef, Mohamed I. Ibrahem
2024Analytically Determining the Robustness of Binarized Neural Networks.
Sahar M. Alzahrani, Sven Schewe, Chao Huang, Xiaowei Huang
2024Analyzing Inconsistencies Across Financial Services Machine Learning Algorithms and Implementations.
Syed Muhammad Ammar Haider, Raina Samuel
2024Application of Machine Learning Techniques to Drive Immunological Insights Towards Malaria Prognosis Using Microarray data.
Sashank Makanaboyina, Zonglin Yang, Rahul Vijay, Thiruvarangan Ramaraj
2024Applied Machine Learning for Surrogate Modeling: A Spatio-Temporal Approach.
Warren D. Graham, Leslie A. Horace, William M. Jones, Sean Tronsen, Sharmistha Chakrabarti, Vanessa Job, Nathan DeBardeleben
2024Approximate Bisimulation Relation Restoration for Neural Networks Based On Knowledge Distillation.
Jie Chen, Zihao Mo, Tao Wang, Weiming Xiang
2024AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines.
Renjith Prasad, Chathurangi Shyalika, Fadi El Kalach, Revathy Venkataramanan, Ramtin Zand, Ramy F. Harik, Amit P. Sheth
2024Automated Shared Phenotype Discovery in Undiagnosed Cohorts for Rare Disease Research.
Aaron J. Masino, Ranga Baminiwatte
2024BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks.
Hamed Poursiami, Ihsen Alouani, Maryam Parsa
2024Brazilian Free-Energy Market Mid-and Long-Term Forecasting Using Multi-Source Ensemble Solution.
Sérgio Baldo Júnior, Saulo Martiello Mastelini, Marcos B. S. Paula, Moisés Rocha dos Santos, Ewerton Guarnier, Donato da Silva-Filho, Maria E. C. M. Santos, Thaina R. Fernandes, Victor C. V. Rosa
2024CFC-ATE: Causal Feature Construction via Average Treatment Effect.
Asmae Lamsaf, Hugo Proença, João C. Neves
2024CLE: Context-Aware Local Explanations for High Dimensional Tabular Data.
Fazle Rahat, M. Shifat Hossain, Md Rubel Ahmed, Rickard Ewetz
2024CNN-JEPA: Self-Supervised Pretraining Convolutional Neural Networks Using Joint Embedding Predictive Architecture.
András Kalapos, Bálint Gyires-Tóth
2024Capturing Uncertainty over Time for Spiking Neural Networks by Exploiting Conformal Prediction Sets.
Daniel Scholz, Oliver Emonds, Felix Kreutz, Pascal Gerhards, Jiaxin Huang, Klaus Knobloch, Alois Knoll, Christian Mayr
2024Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation.
Ying Chen, Ziwei Xu, Kotaro Inoue, Ryutaro Ichise
2024Centralized Multi-Agent Proximal Policy Optimization with Attention.
Hugo Cazaux, Ralph Rudd, Hlynur Stefansson, Sverrir Ólafsson, Eyjólfur Ingi Ásgeirsson
2024Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models.
Musarrat Hussain, Ubaid Ur Rehman, Tri D. T. Nguyen, Sungyoung Lee, Seong Tae Kim, Sung-Ho Bae, Jung Uk Kim
2024Characterizing the Impact of Common Electro-Optical Sensor Anomalies on Maritime Image Classifiers.
Sean D. Kim, John G. Warner, Quinton Davidson, Michael Tietz
2024ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation.
MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
2024Clustered Federated Learning with Non-IID Data: Mitigating Accuracy Overestimates Through Hold-Out Model Selection and Evaluation.
Davoud Gholamiangonabadi, Katarina Grolinger
2024Combining Transfer Learning and Representation Learning to Improve Predictive Analytics on Small Materials Data.
Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal
2024Comparative Analysis of Inference Performance of Pre-Trained Deep Neural Networks in Analog Accelerators.
Mafizur Rahman, Lin Li, Lijun Qian, Max Huang
2024Comparative Evaluation of Autoencoders for Semi-Supervised Anomaly Detection on Univariate Time Series Data.
Tijana Markovic, Sara Moricz, Miguel Leon
2024Comparative Evaluation of Deep Learning Architectures for Retinal Ganglion Cell Counting: FCRN-A, FCRN-A-v2, and U-Net.
Narges Yarahmadi Gharaei, Nupur Gaikwad, Darshana Upadhyay, Srinivas Sampalli, Balwantray C. Chauhan, Aliénor J. Jamet
2024Comparative Study of Machine Learning Techniques in Prediction of Superfund Sites.
Karthik Sabhanayakam, Arya Kamat, Sohail H. Zaidi
2024Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation.
Zag ElSayed, Makoto Miyakoshi, Nathan Suer, Craig A. Erickson, Grace Westerkamp, Ernest V. Pedapati, Jack Yanchen Liu
2024Concurrent Learning of Bayesian Agents with Deep Reinforcement Learning for Operational Planning.
T. Scott Brandes, Letitia W. Li, Daniel Clymer, Eric C. Blair, Michael K. Miller, Marco A. Pravia
2024Contrastive Learning with Auxiliary User Detection for Identifying Activities.
Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee
2024Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data.
Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
2024Critic Loss for Image Classification.
Brendan Hogan Rappazzo, Aaron M. Ferber, Carla Gomes
2024CyberLlama2 - MEDICALHARM Threat Modeling Assistant.
Emmanuel Kwarteng, Mumin Cebe, Jamila Kwarteng
2024DOC-DICAM: Domain Aware One Class Defect Identification in Composite Aerostructure Material.
Austin Yunker, Rajkumar Kettimuthu, Zachary Kral
2024Data-Driven Estimation of Flowing Bottom-Hole Pressure in Petroleum Wells Using Long Short-Term Memory.
Mateus A. Fernandes, Eduardo Gildin, Marcio Augusto Sampaio
2024Data-Driven Graph Construction of Power Flow Graphs for Electric Power Transmission Networks.
Benjamin Poole, Rajan Ratnakumar, Dulip Tharaka Madurasinghe, Christian Kümmerle, Ganesh Kumar Venayagamoorthy, Minwoo Lee
2024Deep Fake Video Classification with Sequential Input Frames Using Hybrid Deep Learning Model and Bayesian Optimization.
Swetha Chittam, David Johnson, Kaushik Roy, Xiaohong Yuan
2024Deep Few-Shot Network for Protein Family Classification: Bridging the Gap Between Limited Data and High Performance.
Saeedeh Nasrin Jamali, Yogendra P. Chaubey, Ashkan Ebadi
2024Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing.
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
2024Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images.
Audrey Xie, Elhoucine Elfatimi, Sambuddha Ghosal, Pratik Shah
2024Deep Learning-Based Method for an Assessment of Road Traffic Pollutant Estimation from Predicted Driving Behaviors.
Suzanne Bussod, Guillaume Sabiron
2024Deep Learning-Based Modeling of Daily Suspended Sediment Concentration and Discharge in Esopus.
Marzieh Khosravi, Shima Ghoochani, Hanieh Shabanian
2024Deep Learning-Enhanced Gap Filling in Drosophila Melanogaster Genomic Data.
Jivitesh Sharma, Stefan Jetschny, Martin Kapun, Mohamed-Bachir Belaid
2024Deep Multi-Agent Reinforcement Learning for Real-World Signalized Traffic Corridor Control.
Salman Shuvo, Sayak Mukherjee, Samrat Chatterjee, Sonja Glavaski, Draguna L. Vrabie, Geline Canayon, Matthew Juckes, Raimundo Rodulfo
2024Deep Neural Networks for Comprehensive Environmental Noise Estimation in European Cities.
Jivitesh Sharma, Stefan Jetschny, Miquel S. Maza, Nuria B. Guardia, Eulalia Peris, Jaume F. Esteve, Mohamed B. Belaid
2024DeepCensored: Deep-Learning Based Probabilistic Forecasting Framework for Censored Data.
Jiahao Tian, Michael D. Porter
2024Depression Classification Algorithm Based on Voice Signals Using MFCC and CNN Autoencoders.
Jisun Hong, Jihun Lee, Daegil Choi, Jaehyo Jung
2024Detecting Cyberbullying in Visual Content: A Large Vision-Language Model Approach.
Jaden Mu, David Cong, Helen Qin, Ishan Ajay, Keyan Guo, Nishant Vishwamitra, Hongxin Hu
2024Detecting Important Drivers of Gridded Population Modeling With Machine Learning.
Viswadeep Lebakula, Daniel S. Adams, Justin Epting, Clinton Stipek, Marie L. Urban
2024Detecting Salmon Lice in Seawater Using Synthetic Datasets.
Lei Zheng, Chao Zhang, Marc Bracke, Lars Christian Gansel, Ricardo da Silva Torres
2024Detection of Behavioral Health Challenges in High School Students.
Thiru Radhakrishnan, Emilio Ingenito, Ugo A. Buy, M. Pieta Keller, Kyle W. Boerke
2024Developing an Autonomous Robotics System Utilizing Camera and IMU Fusion with PID-Based Path Correction.
Harsha Penumatcha, Chandra P. Jaiswal, Sasank Vegesana, Issa W. AlHmoud, Balakrishna Gokaraju
2024Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement Using Electronic Health Records.
Zoe Hancox, Sarah R. Kingsbury, Andrew Clegg, Philip G. Conaghan, Samuel D. Relton
2024Diffusion Equation Based Subspace Extraction of Image Data for Fast K-Means.
Bingcheng Li
2024Discrepancy-Based Knowledge Distillation for Image Classification Restoration.
Zihao Mo, Yejiang Yang, Weiming Xiang
2024Domain Adaptation Utilizing Texts and Visions for Cross-domain Recommendations with No Shared Users.
Kentaro Shiga, Shuichiro Haruta, Zhi Li, Takahiro Hara
2024Domain Contextual and Relational Graph Model for Predictive Maintenance.
Robert Schiller, Trupti Chavan, Akshay Kakkar, Viraj E, Don Williams, Derek Snaidauf, Edward Bowen, Deepak Mittal, Sunil R. Tiyyagura
2024Domain-Invariant Crop Type Mapping Using Transformer-Based Time-Frequency Feature Extraction and Adaptation for Unlabeled Target Regions.
Shruti Nair, Vasile Palade, Sara Sharifzadeh, Charley Hill-Butler
2024Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization.
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
2024Dynamic Prediction of Reblowing Necessity in BOF Steelmaking.
Maryam Khaksar Ghalati, Jianbo Zhang, Amadi Gabriel Udu, Hongbiao Dong
2024Dynamical System Autoencoders.
Shiquan He, Randy C. Paffenroth, Olivia Cava, Cate Dunham
2024ECGInsight: A Web Application-Based Approach to Myocardial Infarction Detection From ECG Image Reports Utilizing ResNet.
Jahanggir Hossain Setu, Syed Tangim Pasha, Nabarun Halder, Sankar Sikder, Ashraful Islam, Md. Zahangir Alam
2024ECSGen and iZen: A New NLP Task and a Zeroshot Framework to Perform it.
Md. Riyadh, M. Omair Shafiq
2024EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation.
Nischal Khanal, Shivanand Venkanna Sheshappanavar
2024Edge-Centric Real-Time Segmentation for Autonomous Underwater Cave Exploration.
Mohammadreza Mohammadi, Adnan Abdullah, Aishneet Juneja, Ioannis M. Rekleitis, Md Jahidul Islam, Ramtin Zand
2024Effectively Prompting Small-Sized Language Models for Cross-Lingual Tasks via Winning Tickets.
Mingqi Li, Feng Luo
2024Efficient Retraining for Continuous Operability Through Strategic Directives.
Gentoku Nakasone, Yoshinari Motokawa, Yuki Miyashita, Toshiharu Sugawara
2024Empathetic Reflective Response Generation: Towards Conversation Models for Online Mental Health Support.
Tootiya Giyahchi, Cornelia Pechmann, Ian Harris
2024Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks.
Neel Patel, Alexander Wong, Ashkan Ebadi
2024Energy-Based Models Trained with Equilibrium Propagation are Inherently Robust.
Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael A. Teti
2024Enhanced Distribution Matching for Multiclass Quantification.
Danuka Malinda, Danushka Senarathna, Spyros Tragoudas
2024Enhancing Allergy Prediction Accuracy Through Machine Learning and ProteinBERT.
Agastya Chennamsetty, Atul Dubey
2024Enhancing Deep Neural Network Classification Performance Through Novel Weight Initialization: t-SNE Supported Walsh Matrix Approach.
Muhammed Nur Talha Kilic, Vishu Gupta, Yuwei Mao, Kewei Wang, Alec Peltekian, Alok N. Choudhary, Wei-keng Liao, Ankit Agrawal
2024Enhancing Dialogue Analysis in Multiparty Meetings Through Argument and Relation Classification Models.
Vishal Vaitla, Melody Moh, Teng-Sheng Moh
2024Enhancing EEG Motor Imagery Time Point Signal Classification through Reinforcement Learning and Graph Neural Networks.
Htoo Wai Aung, Jiao Jiao Li, Yang An, Steven W. Su
2024Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation.
Prashank Kadam
2024Enhancing High-Frequency Trading with Deep Reinforcement Learning Using Advanced Positional Awareness Under a Directional Changes Paradigm.
George Rayment, Michael Kampouridis
2024Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis.
Christian Pionzewski, Rebecca Rademacher, Jérôme Rutinowski, Antonia Ponikarov, Stephan Matzke, Tim Chilla, Pia Schreynemackers, Alice Kirchheim
2024Enhancing Multivariate Time Series-Based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning.
MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
2024Enhancing Pipeline Monitoring: Optimizing Window Size with Monte Carlo Search and CB-AttentionNet.
Sahar Khazali, Tariq Al Shoura, Ehsan Jalilian, Mohammad Moshirpour
2024Enhancing Synthetic Well Logs with PCA-Based GAN Models.
Luciano Garim Garcia, Gabriel de Oliveira Ramos, José Manuel Marques Teixeira de Oliveira, Ariane Santos da Silveira
2024Enhancing Tabular GAN Fairness: The Impact of Intersectional Feature Selection.
Tahereh Dehdarirad, Ericka Johnson, Gabriel Eilertsen, Saghi Hajisharif
2024Evaluating Adversarial Attacks on Traffic Sign Classifiers Beyond Standard Baselines.
Svetlana Pavlitska, Leopold Müller, J. Marius Zöllner
2024Evaluating Alignment Techniques for Enhancing LLM Performance in a Closed-Domain Application: A RAG Bench-Marking Study.
Ahmad Al Zuraiqi, Des Greer
2024Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows.
Jie Lin, David Mohaisen
2024Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT.
Hassan Shakil, Atqiya Munawara Mahi, Phuoc Nguyen, Zeydy Ortiz, Jugal Kalita, Mamoun T. Mardini
2024Evaluating the Clinical Applicability of Neural Networks for Meningioma Tumor Segmentation on Multiparametric 3D MRI.
Diya Sreedhar
2024Evaluating the Efficacy of Large Language Models in Automating Academic Peer Reviews.
Weimin Zhao, Qusay H. Mahmoud
2024Evaluation of Few-Shot Learning Algorithms, Training Methods, Backbones and Learning Task for Crack Detection in Manufacturing.
Mehta Dharmil Rajesh, Safa Omri, Niclas Renner, Kristian Schaeffer, Jens Neuhüttler, Johannes Schniertshauer
2024Explainable Transformer-based Intrusion Detection in Internet of Medical Things (IoMT) Networks.
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
2024Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV).
Aneesha Guna, Parth Ganeriwala, Siddhartha Bhattacharyya
2024Exploring Machine Learning for Faster Mapping and Scheduling of Automotive Applications on ADAS Platforms.
Rafael Sterzinger, Wolfgang Koch, Ralph Hoch
2024Exploring Multi-Label Data Augmentation for LLM Fine-Tuning and Inference in Requirements Engineering: A Study with Domain Expert Evaluation.
Hanyue Liu, Marina Bueno García, Nikolaos Korkakakis
2024Exploring Testing Methods for Large Language Models.
Timothy Elvira, Tyler Thomas Procko, Lynn Vonderhaar, Omar Ochoa
2024FL-EGM: Decentralized Federated Learning using Aggregator Selection with Enhanced Global Model.
Muhammad KaleemUllah Khan, Kaiwen Zhang, Chamseddine Talhi
2024FastMapSVM/FastMapSVR for Predictive Tasks on CSPs, SAT, and Weighted CSPs.
Kexin Zheng, Ang Li, T. K. Satish Kumar
2024Financial Fraud Detection using Jump-Attentive Graph Neural Networks.
Prashank Kadam
2024Finding an Optimal Small Sample of Training Dataset for Computer Vision Deep-Learning Models.
Aviv Yehezkel, Eyal Elyashiv
2024Forecasting of Low Visibility Using Weather and Air Quality Data for Safe and Smooth Transportation Operation.
Topon Kumar Paul, Vidhisha Reddy, Sai Prem Kumar Ayyagari, Ryusei Shingaki, Kaneharu Nishino
2024Fuels Demand Forecasting: Identifying Leading Feature Sets, Prediction Strategy, and Regressors.
Jonas Krause, Alexandre C. A. Beiruth, Jean Paul Barddal, Alceu S. Britto Jr., Vinícius M. A. de Souza
2024Fusion of Real and Synthetic Subtracted Contrast-Enhanced Mammograms for Enhanced Tumor Detection.
Fatima Zahrae Nakach, Ali Idri, Apostolia Tsirikoglou
2024GADLE: A Robust Alternative to Reinforcement Learning for Systematic Investment.
Prasang Gupta, Prajjwal Gupta, Shaz Hoda, Anand S. Rao
2024GEM-RAG: Graphical Eigen Memories for Retrieval Augmented Generation.
Brendan Hogan Rappazzo, Yingheng Wang, Aaron M. Ferber, Carla Gomes
2024Gaussian Process Neural Network Embeddings for Collaborative Filtering.
Wei Zhang, Brian Barr, John Paisley
2024Generalizing Functional Error Correction for Language and Vision-Language Models.
Wenyu Peng, Simeng Zheng, Michael Baluja, Tao Xie, Anxiao Jiang, Paul H. Siegel
2024Graph Integration for Diffusion-Based Manifold Alignment.
Jake S. Rhodes, Adam G. Rustad
2024Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs.
Kishan Wimalawarne, Taro Sawaki, Motokiyo Hirayama, Takanobu Kawahara, Taiji Suzuki
2024Graph Signal Processing Unearths the Best Locations for Soil Moisture Sensors.
Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller
2024Harnessing Machine Learning and Stock Market Techniques for Signal Detection in Underwater Sensing Technologies.
Ashkan Ebadi, Alain Auger, Yvan Gauthier
2024Hidden Pieces: An Analysis of Linear Probes for GPT Representation Edits.
Austin L. Davis, Gita Sukthankar
2024Hierarchical Learning for Training Large-Scale Variational Quantum Circuits.
Hrant Gharibyan, Vincent Paul Su, Hayk Tepanyan
2024Hierarchical Representation for Multi-Source Domain Adaptation via Wasserstein Barycenter.
Mourad El Hamri, Issam Falih, Yves Rozenholc
2024Hierarchical Supervised Monte Carlo Ensemble Learning.
Ziauddin Ursani, Dmytro Antypov, Katie Atkinson, Judith Clymo, Matthew S. Dyer, Matthew J. Rosseinsky, Sven Schewe, Andrij Vasylenko
2024High-Speed Deformation Prediction in Selective Laser Melting Using Context-Adaptive Neural Networks.
Mathieu Vandecasteele, Domenico Iuso, Milad Hamidi Nasab, Dries Verhees, Joaquim G. Sanctorum, Mohsen Nourazar, Abdellatif Bey-Temsamani, Brian G. Booth
2024Hypergraph Contrastive Learning with Graph Structure Learning for Recommendation.
Yuma Dose, Shuichiro Haruta, Yihong Zhang, Takahiro Hara
2024Identifying Hierarchical Community Structures in Content-Based Scholarly Social Networks.
Md Asaduzzaman Noor, John W. Sheppard, Jason A. Clark
2024Impact of Transfer Learning on Transformers Networks for Prostate Image Segmentation.
Xavier Casanova, Maria Baldeon Calisto
2024Implementation of Off-Road Panoptic-Segmentation Under Dynamic Lighting Conditions.
Pankaj Deoli, Koushik Samudrala, Karsten Berns
2024Improving Audience Ratings Prediction of Japanese TV Dramas Using Knowledge-Based Embeddings.
Jerry Bonnell, Stefan Wuchty, Mitsunori Ogihara
2024Improving Features for Multiple Sclerosis Disability Progression Prediction Through Temporal Alignment of Hospital Visits.
Karel Fonteyn, Tom Dhaene, Dirk Deschrijver
2024Increasing Adversarial Robustness Around Uncertain Boundary Regions with Amodal Segmentation.
Sheila Alemany, Niki Pissinou, Brian Yang
2024IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System.
Christian I. Narcia-Macias, Joselito Guardado, Jocell Rodriguez, Junseong Park, Joanne Rampersad-Ammons, Erik Enriquez, Dong-Chul Kim
2024Intelligent Fall Detection and Emergency Response for Smart Homes Using Language Models.
W. K. Malithi Mithsara, Abdur Rahman Bin Shahid, Ning Yang
2024Intelligent Soccer Event Detection and Highlights Generation with Broadcast Cues Integration.
Anirudh Narayanan, Sergei Chuprov, Leon Reznik, Raman Zatsarenko, Dmitrii Korobeinikov
2024International Conference on Machine Learning and Applications, ICMLA 2024, Miami, FL, USA, December 18-20, 2024
M. Arif Wani, Plamen Angelov, Feng Luo, Mitsunori Ogihara, Xintao Wu, Radu-Emil Precup, Ramin Ramezani, Xiaowei Gu
2024Interpretable Deep Learning Model for Multiclass Brain Tumor Classification.
Raihana Tasnim, Kaushik Roy, Madhuri Siddula
2024Iterative Feedback-Enhanced Prompting: A Green Algorithm for Reducing Household Food Waste.
Yuekai Wang
2024KAN-Attn GAN: Map Generation with Kolmogorov-Arnold Networks and Attention-Based Queries Selection.
Arpan Mahara, Naphtali David Rishe, Wenjia Wang, Seyed Masoud Sadjadi
2024KG-Infused LLM for Virtual Health Assistant: Accelerated Inference and Enhanced Performance.
Siva Kumar Katta, Aritra Ray, Farshad Firouzi, Krishnendu Chakrabarty
2024LLM for Generating Simulation Inputs to Evaluate Path Planning Algorithms.
Chenyang Wang, Jonathan Diller, Qi Han
2024LLM-based Sign Language Production.
Wellington Silveira, Luca Mendonça, Rodrigo de Bem
2024Learnable Deep Wavelet Packet Transform for Speech Emotion Recognition in High-Risk Suicide Calls.
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2024Learning Extended Forecasts of Soil Water Content via Physically-Inspired Autoregressive Models.
Ozmen Erkin Kokten, Raviv Raich, James Holmes, Alan Fern
2024Learning Input Driven Dynamic Bayesian Networks with Measurement Noise.
Dávid Veres, Ping Li, Visakan Kadirkamanathan
2024Learning Interpretable Policies in Hindsight-Observable POMDPs Through Partially Supervised Reinforcement Learning.
Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik
2024Learning Time-Optimal Control of Gantry Cranes.
Junmin Zhong, Daniel Nikovski, William Yerazunis, Taishi Ando
2024Learning from Uncertainty: Improving Churn Prediction using Conformal Confidence Intervals.
Yameng Guo, Seppe vanden Broucke
2024Learning-Based Attitude Estimation with Noisy Measurements and Unknown Gyro Bias.
Parham Oveissi, Mohammad Mirtaba, Ankit Goel
2024Let's Federate - Effective Communication Strategy for Dynamic Client Participation.
Rafael O. Jarczewski, Eduardo Cerqueira, Luiz F. Bittencourt, Antonio A. F. Loureiro, Leandro A. Villas, Allan Mariano de Souza
2024Leveraging A* Pathfinding for Efficient Deep Reinforcement Learning in Obstacle-Dense Environments.
Junior Samuel López-Yépez, Antoine Fagette, Charles Dansereau, Filipe Carvalhais Sanches
2024Leveraging LLMs for Integrated Sentiment and Topic Analysis on African Social Media.
Harriet Sibitenda, Ruofan Hu, Elke A. Rundensteiner, Awa Diattara, Assitan Traore, Cheikh Ba
2024Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews.
Sofia Krylova, Fabian Schmidt, Vladimir Vlassov
2024Leveraging Multimodal Shapley Values to Address Multimodal Collapse and Improve Fine-Grained E-Commerce Product Classification.
Ajibola Obayemi, Khuong Nguyen
2024LingBERT, Linguistic Knowledge Injection into Attention Mechanism Based on a Hybrid Masking Strategy.
Toufik Mechouma, Ismaïl Biskri, Serge Robert
2024Localized Recommendation in Assembly Modeling: Employing GNNs for Targeted Part Placement.
Carola Lenzen, Wolfgang Reif
2024Location Invariant Flood Prediction using Fourier Neural Operator.
Chetan Kumar, Diana McSpadden, Steven Goldenberg, Malachi Schram, Heather Richter, Yidi Wang, Binata Roy, Jonathan L. Goodall
2024LyriX : Automated Lyrics Transcription Using Deep Learning-Based Residual UNet Model.
Arijit Roy, Esha Baweja, Ashish Kumar
2024M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps.
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
2024MCMN Deep Learning Model for Precise Microcrack Detection in Various Materials.
Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Frank Wuttke, Sven Tomforde
2024Machine Learning Meets EEG: A Novel Approach to PGA-Based Authentication Systems.
Ioannis Katoikos, Christos A. Fidas, Dimitrios Koukopoulos
2024Matrix-Based Representations and Gradient-Free Algorithms for Neural Network Training.
Turibius Rozario, Parham Oveissi, Ankit Goel
2024Media Haze Classification in Retinal Images Using Transfer Learning with Convolutional Neural Networks.
Jonathan O'Berry, Xudong Liu
2024Mental Stress Classification by Attention-Based CNN-LSTM Algorithm of Electrocardiogram Signal.
Jihun Lee, Jisun Hong, Daegil Choi, Jaehyo Jung
2024Minimizing Hybrid Electric Power Generation Costs Using Smart Power Grid Solution.
Vijen Mehta, Kunal Agrawal, Charan Teja Madabathula, Ming-Hwa Wang
2024Mitigating Unfair Regression in Machine Learning Model Updates.
Irene Buselli, Anna Pallarès López, Eduard Martín Jiménez, Davide Anguita, Fabio Roli, Luca Oneto
2024Mitigating the Effects of Concept Drift from Data Streams in Quantum Machine Learning.
Travis Lee, Muhammad Ismail, Samuel Yen-Chi Chen
2024Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting.
Hao Niu, Guillaume Habault, Defu Cao, Yizhou Zhang, Roberto Legaspi, Huy Quang Ung, James Enouen, Shinya Wada, Chihiro Ono, Atsunori Minamikawa, Yan Liu
2024Mixture-of-Experts for Multi-Domain Defect Identification in Non-Destructive Inspection.
Venkata Devesh Reddy Seethi, Ashiqur Rahman, Austin Yunker, Rami Lake, Zachary Kral, Rajkumar Kettimuthu, Hamed Alhoori
2024Multi-Label Behavioral Health Classification from Police Narrative Report.
Abm. Adnan Azmee, Francis Nweke, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, Monica Nandan
2024Multi-Layer Attention-Based Explainability via Transformers for Tabular Data.
Andrea Treviño Gavito, Diego Klabjan, Jean Utke
2024Multi-Margin Cosine Loss: Proposal and Application in Recommender Systems.
Makbule Gulcin Ozsoy
2024Multi-Modal AI Approach for Multi-Class Skin Disease Classification.
Michela Effendie, Vanessa Aguiar-Pulido
2024Multi-Modal Contrastive Learning for Medical Image Classification with Limited Training Data.
Shengzhe Jiao, Yihong Zhang, Yuanyuan Wang, Shingo Mabu, Haoyang Xia, Takahiro Hara
2024Multi-Spheres Anomaly Detection with Hyperspherical Layers.
Julien de Saint Angel, Christophe Saint-Jean
2024Multi-Task Learning for Material Property Prediction.
Chowdhury Mohammad Abid Rahman, Nishat B. Alam, Amr S. El-Wakeel, JuHyeong Ryu, Prashnna K. Gyawali
2024Multi-label Classification using Self-Supervised Learning: Addressing Class Inter-Dependency and Data Imbalance.
Ghazaleh Mirzaee, Gianfranco Doretto, Donald A. Adjeroh
2024MultiLangMemeNet: A Unified Multimodal Approach for Cross-Lingual Meme Sentiment Analysis.
Md. Kishor Morol, Shakib Sadat Shanto, Zishan Ahmed, Ahmed Shakib Reza
2024Multimodal Fusion Networks for Workload Modeling.
Shengnan Hu, Gita Sukthankar
2024Mutual Information-Based Feature Selection for Federated Learning Environments.
Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
2024NSP: A Neuro-Symbolic Natural Language Navigational Planner.
William English, Dominic Simon, Sumit Kumar Jha, Rickard Ewetz
2024Natural Adversarial Attacks.
Michael J. Hughes, Sven Schewe
2024Neural Network Ensembling with Random Features.
Jarrod Mau, Kevin R. Moon
2024New Class Labeling and Evaluation Methodology for Balanced and Highly Imbalanced Data.
Mary Anne Walauskis, Taghi M. Khoshgoftaar
2024Novel L1-Based Neural Gas Clustering Algorithms.
Nicomedes L. Cavalcanti, Francisco de A. T. de Carvalho
2024On Contrastive Learning for Domain Generalization.
Thuan Nguyen, D. Richard Brown
2024On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification.
Simon Klüttermann, Jérôme Rutinowski, Frederik Polachowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller
2024On the Effectiveness of a Hybrid Model for Volatility Prediction.
SaiAsrith EVNM Baddepudi, Akshay Agarwal
2024On the Performance and Robustness of Linear Model U-Trees in Mimic Learning.
Matthew Green, John W. Sheppard
2024Optimal Parameter Estimation of Biological Systems through Deep Reinforcement Learning.
Fadil Santosa, Loren Anderson
2024Optimizing 3D Geometry Reconstruction from Implicit Neural Representations.
Shen Fan, Przemyslaw Musialski
2024Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers.
Paulo Luza Alves, Andre G. Hochuli, Luiz Eduardo Soares de Oliveira, Paulo R. Lisboa de Almeida
2024Oracle Embeddings for Chemical Detection.
Cate Dunham, Maria Barger, Randy C. Paffenroth, Joshua R. Uzarski, Chia-Wei Tsai
2024Out-of-Distribution Detection for Contrastive Models Using Angular Distance Measures.
M. Shifat Hossain, Sumit Kumar Jha, Chase Walker, Rickard Ewetz
2024Pedestrian Detection: An Explainable Approach.
Hongbo Pang, Changcheng Huang
2024Positional Tracking of Physical Objects in an Augmented Reality Environment Using Neuromorphic Vision Sensors.
Flore Stécie Norcéide, Emi Aoki, Vinh Tran, Masoumeh Farhadi Nia, Charles Thompson, Kavitha Chandra
2024Pragmatic and ML Approaches to Backfilling Missing Data Within Time Series Datasets.
Taylor J. Brown, Matthew Wilkerson, Brian Blanton, Sambit Bhattacharya
2024Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift.
Haider Ilyas, Harika Abburi, Edward Bowen, Balaji Veeramani
2024Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive Analysis of Multitarget Drug Effect Prediction.
Avishek Bose, Guojing Cong
2024Predicting Fold-Switching Protein Behavior Using Graph Neural Networks.
Avi Lekkelapudi, Darnell Granberry
2024Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning.
Andrés Leiva-Araos, Tushya Vemuri, David Mena, Xudong Liu
2024Predicting Temporal Patterns in Keyword Searches with Recurrent Neural Networks - Phenotyping Human Behaviour from Search Engine Usage.
Jay Paul Morgan, Frederic Boy
2024Predicting Vehicle Impact Severity With Deep Neural Network for Reinforcement Learning Based Autonomous Vehicle Simulators.
Martin Holen, Svitlana P. Rogovchenko, Gulshan Noorsumar, Morten Goodwin
2024Preserving Accuracy While Stealing Watermarked Deep Neural Networks.
Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty
2024ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation.
Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton, Gary K. Owens, Donald E. Brown
2024Qualitative Diagnosis of LLMs as Judges Using LevelEval.
Mallika Boyapati, Lokesh Meesala, Ramazan Aygun, Bill Franks, Hansook Choi, Sereres Riordan, Girish Modgil
2024Quantifying Influencer Impact on Affective Polarization.
Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu
2024Quantum Machine Learning for Computer Vision: A Survey.
Md Majedul Islam, Jing Selena He
2024Quasi-Adam: Accelerating Adam Using Quasi-Newton Approximations.
Aditya Ranganath, Irabiel Romero Ruiz, Mukesh Singhal, Roummel F. Marcia
2024RAG Certainty: Quantifying the Certainty of Context-Based Responses by LLMs.
Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
2024REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models.
Shenyang Liu, Saleh Almohaimeed, Liqiang Wang
2024RFOOD: Real-time Facial Authentication and Out -of-distribution Detection with Short-range FMCW Radar.
Sabri Mustafa Kahya, Muhammet Sami Yavuz, Boran Hamdi Sivrikaya, Eckehard G. Steinbach
2024RaceGAN: A Framework for Preserving Individuality While Converting Racial Information for Image-to-Image Translation.
Tasnim Pervin, George Bebis, Fang Jiang, Alireza Tavakkoli
2024ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL.
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
2024Real-Time Automatic Checkout via Prompt-Based Product Extraction and Cross-Domain Learning.
Tobias Pettersson, Maria Riveiro, Tuwe Löfström
2024Real-Time Human-Classified Emotional MIDI Dataset Integration for Symbolic Music Generation.
Justin Adebayo Kerobo, Ivica Ico Bukvic
2024Recommendation Tool for Alleviating Depression and Suicidal Tendencies Through Healthier Social Media Use.
Travis Scott Hughes, Bhavika Jain, Mahfuza Farooque
2024Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling.
Arthur Müller, Lukas Vollenkemper
2024Robust Detection of Line Numbers in Piping and Instrumentation Diagrams (P&IDs).
Vasil Shteriyanov, Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson
2024SAFARI: Self-regulAted Clustered FederAted Learning in a HeteRogeneous EnvIronment.
Sai Puppala, Ismail Hossain, Md Jahangir Alam, Sajedul Talukder
2024SEATTNET: UNET Enhanced with Squeeze-Excited Attention Gates for Ice-Calving Front Segmentation.
Rohan Putatunda, Sanjay Purushotham, Vandana P. Janeja
2024Scheduled Sampling for Recursive Multi-Step GPU Temperature Forecasting.
Harold Wang, Xunfei Jiang, Mahdi Ebrahimi
2024Securing 3D Deep Learning Models: Simple and Effective Defense Against Adversarial Attacks.
Rosina F. Kharal, Saif Al-Din Ali, Usama Mohiuddin, Samir El Sayed
2024Segmentation of Maya Hieroglyphs through Fine-Tuned Foundation Models.
FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Chowdhury Mohammad Abid Rahman, Yenumula Reddy, Prashnna K. Gyawali
2024Semi-Supervised Learning and Focal Masking for Vessel Segmentation in X-Ray Coronary Angiography.
Zhewei Wang, Jundong Liu
2024Sentiment Classification on Twitter(X) Through Ensemble Deep Random Vector Functional Links.
Pablo A. Henríquez
2024Shrinking: Reconstruction of Parameterized Surfaces from Signed Distance Fields.
Haotian Yin, Przemyslaw Musialski
2024Solar Image Synthesis with Generative Adversarial Networks.
Haodi Jiang, Jason T. L. Wang
2024Spatial Transformer Network YOLO Model for Agricultural Object Detection.
Yash Vivek Zambre, Ekdev Rajkitkul, Akshatha Mohan, Joshua Peeples
2024Spectral Recovery Via Spectral-Aware Perceptual Loss.
Ignacio Loayza Campos, Ricardo Ñanculef Alegría, Roxana Trujillo-Guiñez
2024Spectral Wavelet Dropout: Regularization in the Wavelet Domain.
Rinor Cakaj, Jens Mehnert, Bin Yang
2024Squeeze-and-Remember Block.
Rinor Cakaj, Jens Mehnert, Bin Yang
2024Student Mental Health Screening with Text Message Metadata.
M. L. Tlachac, Samuel S. Ogden
2024Swef-UNet: Toward an Efficient Pure Transformer-Based Medical Image Segmentation.
Maryam Tavakol Elahi, Wonsook Lee, Philippe Phan
2024Systematical Randomness Assignment for the Level of Manipulation in Text Augmentation.
Youhoo Cha, Younghoon Lee
2024Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder.
Muhammed Nur Talha Kilic, Yuwei Mao, Vishu Gupta, Alok N. Choudhary, Wei-keng Liao, Ankit Agrawal
2024Target Permutation for Feature Significance and Applications in Neural Networks.
Sanad Biswas, Nina Grundlingh, Jonathan Boardman, Joseph White, Linh Le
2024Tell Me More! Using Multiple Features for Binary Text Classification with a Zero-Shot Model.
David Broneske, Nikhilkumar Italiya, Fabian Mierisch
2024Temporal Dynamics of Classroom Stress: Insights from Wearable Sensors and Machine Learning.
Latherial Calbert, Navid Hashemi Tonekaboni
2024Temporal Tensor Factorization: A Framework for Low-Rank Multilinear Time Series Forecasting.
Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Karissa Schipke
2024Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs.
Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai
2024The Goofus & Gallant Story Corpus for Practical Value Alignment.
Md Sultan Al Nahian, Tasmia Tasrin, Spencer Frazier, Mark O. Riedl, Brent Harrison
2024The Innate Curiosity in the Multi-Agent Transformer.
Arthur S. Williams, Alister Maguire, Braden Soper, Dan M. Merl
2024The Theory of Probabilistic Hierarchical Supervised Ensemble Learning.
Ziauddin Ursani, Dmytro Antypov, Katie Atkinson, Judith Clymo, Matthew S. Dyer, Matthew J. Rosseinsky, Sven Schewe, Andrij Vasylenko
2024Through the Looking Glass: LLM-Based Analysis of AR/VR Android Applications Privacy Policies.
Abdulaziz Alghamdi, David Mohaisen
2024Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet.
Emam Hossain, Md. Osman Gani, Devon Dunmire, Aneesh C. Subramanian, Hammad Younas
2024Toward Measuring and Understanding the Overvalidation Phenomena.
Fabrizio Mori, Antonio Emanuele Cinà, Fabio Roli, Davide Anguita, Luca Oneto
2024Toward Robust Generative AI Text Detection: Generalizable Neural Model.
Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2024Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation.
Svetlana Pavlitska, Enrico Eisen, J. Marius Zöllner
2024Towards Highly Efficient Anomaly Detection for Predictive Maintenance.
Simon Klüttermann, Vanlal Peka, Philipp Doebler, Emmanuel Müller
2024Towards Holistic Disease Risk Prediction using Small Language Models.
Liv Björkdahl, Oskar Pauli, Johan Östman, Chiara Ceccobello, Sara Lundell, Magnus Kjellberg
2024Towards Multi-Class Open-Set Recognition by Use of Lower Dimensional Latent Space Embeddings.
John G. Warner, Vishal Patel
2024Towards Physically Consistent Deep Learning For Climate Model Parameterizations.
Birgit Kühbacher, Fernando Iglesias-Suarez, Niki Kilbertus, Veronika Eyring
2024Towards a Feasible Palm Vein Verification Scheme Using Deep Autoencoder and Siamese Networks.
Mateus Nunes, Eduardo K. Viegas, Altair O. Santin
2024Training Deep Neural Classifiers with Soft Diamond Regularizers.
Olaoluwa Adigun, Bart Kosko
2024Tri-level Optimization for Gradient-based Neural Architecture Search.
Sarwat Ali, M. Arif Wani
2024TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency.
Ahmed Imteaj, Md. Zarif Hossain, Saika Zaman, Abdur Rahman Bin Shahid
2024Turn Down the Noise: Perceptually Constrained Attacks for Multi-Label Audio Classification.
Erick Capulong, Marko Orescanin, Pedro Ortiz, Patrick McClure
2024Typicality for Information Retrieval with Application on Sample Size Reduction of High Dimensional Data.
Nada Abdalla, Muhammad Umar Javed, Damien Forthomme
2024UDBE: Unsupervised Diffusion-Based Brightness Enhancement in Underwater Images.
Tatiana Taís Schein, Gustavo Pereira de Almeira, Stephanie Loi Brião, Rodrigo Andrade de Bem, Felipe G. Oliveira, Paulo L. J. Drews-Jr
2024Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions.
Elhoucine Elfatimi, Pratik Shah
2024Unifying Robust Activation Functions for Reduced Adversarial Vulnerability with the Parametric Generalized Gamma Function.
Sheila Alemany, Emma Worthington, Alberto Luis Dominguez, Ilan Grapel, Niki Pissinou
2024Unsupervised Anomaly Detection in Urban Water Networks U sing a Hierarchical Deep Learning Model.
Guillem Escriba, David Pérez, Nicolás Vila, Daniel Marín, Miquel Oliver
2024Using Deep Neural Networks to Quantify Parking Dwell Time.
Marcelo Eduardo Marques Ribas, Heloisa Benedet Mendes, Luiz Eduardo Soares de Oliveira, Luiz Antonio Zanlorensi, Paulo R. Lisboa de Almeida
2024Using LLMs to Establish Implicit User Sentiment of Software Desirability.
Sherri Weitl-Harms, John D. Hastings, Jonah Lum
2024Using Transformers for Emotion Recognition in Bangla Text: A Comparative Study of MultiBERT and BanglaBERT with Data Augmentation.
Nabarun Halder, Tanjina Piash Proma, Jahanggir Hossain Setu, Arafat Noor, Ashraful Islam, M. Ashraful Amin
2024Utilizing a Hybrid Matrix Product State and Variational Quantum Circuit Architecture for the Detection of Kidney Diseases.
Vidur Reddy Jannapureddy, Shinjae Yoo, Huan-Hsin Tseng
2024V-CAS: A Realtime Vehicle Anti Collision System Using Vision Transformer on Multi-Camera Streams.
Muhammad Waqas Ashraf, Ali Hassan, Imad Ali Shah
2024Variational Encoder Based Synthetic Alzheimer's Data Generation for Deep Learning, XGBoost and Statistical Survival Analysis.
Henry Musto, Daniel Stamate, Daniel Stahl
2024Variational Information Bottleneck with Gaussian Processes for Time-Series Classification.
Itamar Efrati, Shai Fine
2024Virtual-Coordinate Based Sampling and Embedding for Machine Learning with Graph Data.
Zheyi Qin, Anura P. Jayasumana, Randy C. Paffenroth
2024Volumetric Feature Extraction from 2D Images Using Cubixels.
Sanad Aburass, Maha Abu Rumman
2024Wave-Based Neural Network with Attention Mechanism for Damage Localization in Materials.
Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Frank Wuttke, Sven Tomforde
2024WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision Agriculture.
Taminul Islam, Toqi Tahamid Sarker, Khaled R. Ahmed, Cristiana Bernardi Rankrape, Karla Gage
2024Whitening Consistently Improves Self-Supervised Learning.
András Kalapos, Bálint Gyires-Tóth
2024WindVibraTransformer: A Foundational Model for Precise and Robust Wind Turbine Condition Monitoring via Vibration Signals.
Takuya Wakayama, Taiki Inoue, Jun Ogata, Makoto Iida, Tetsuji Ogawa
2024YOLO-SCSA: Enhanced YOLOv8 with Spatially Coordinated Shuffling Attention Mechanisms for Skin Cancer Detection.
Jinyoon Kim, Tianjie Chen, Hien Nguyen, Md Faisal Kabir
2024Zero-Shot Detection and Sanitization of Data Poisoning Attacks in Wearable AI Using Large Language Models.
W. K. Malithi Mithsara, Abdur Rahman Bin Shahid, Ning Yang
2024iPEERS: A Multi-Layered Expert Recommender System for Enhanced Customer Support.
Ashkan Ebadi
2024iTRACE: In-Depth Trends and Root Cause Analysis of Canadian Public Service Employee Survey.
Ashkan Ebadi