Table of Contents

• Addressing Sample Efficiency and Model-bias in Model-based Reinforcement LearningAkhil S. Anand, Jens Erik Kveen, Fares J. Abu-Dakka, Esten Ingar Grøtli, Jan Tommy Gravdahl. 1-6 [doi]
• Adversarial Attacks on Deep Temporal Point ProcessSamira Khorshidi, Bao Wang, George O. Mohler. 1-8 [doi]
• Reinforcement Learning Based Architectures for Dynamic Generation of Smart Home ServicesMingming Qiu, Elie Najm, Rémi Sharrock, Bruno Traverson. 7-14 [doi]
• Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement LearningNasik Muhammad Nafi, Creighton Glasscock, William H. Hsu. 15-22 [doi]
• An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different DimensionsLeonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal. 23-28 [doi]
• TSEvo: Evolutionary Counterfactual Explanations for Time Series ClassificationJacqueline Höllig, Cedric Kulbach, Steffen Thoma. 29-36 [doi]
• PerMTL: A Multi-Task Learning Framework for Skilled Human Performance AssessmentIndrajeet Ghosh, Avijoy Chakma, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Nicholas R. Waytowich. 37-44 [doi]
• Topological Regularization for Dense PredictionDeqing Fu, Bradley J. Nelson. 45-52 [doi]
• A Lightweight and Fast Approach for Upper Limb Range of Motion AssessmentXuke Yan, Linxi Zhang, Bo Liu, Guangzhi Qu. 53-60 [doi]
• Real-Time Cattle Interaction Recognition via Triple-stream NetworkYang Yang, Mizuka Komatsu, Takenao Ohkawa, Kenji Oyama. 61-68 [doi]
• Deeper Bidirectional Neural Networks with Generalized Non-Vanishing Hidden NeuronsOlaoluwa Adigun, Bart Kosko. 69-76 [doi]
• Leaf Tar Spot Detection Using RGB ImagesSriram Baireddy, Da Young Lee, Carlos Gongora-Canul, Christian D. Cruz, Edward J. Delp. 77-82 [doi]
• Recycling Material Classification using Convolutional Neural NetworksKaihua Liu, Xudong Liu. 83-88 [doi]
• Automatic Key Information Extraction from Visually Rich DocumentsCharles De Trogoff, Rim Hantach, Gisela Lechuga, Philippe Calvez. 89-96 [doi]
• Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing ImageryYifan Zhao, Xian Yang, Ranga Raju Vatsavai. 97-104 [doi]
• Structural health and intelligent monitoring of wind turbine blades with a motorized telescopeAlejandro Carnero, Cristian Martín 0002, Manuel Díaz. 105-112 [doi]
• Deep Learning Based Re-Identification of Wooden Euro-palletsJérôme Rutinowski, Christian Pionzewski, Tim Chilla, Christopher Reining, Michael ten Hompel. 113-117 [doi]
• A scalable solution to AlphaZero based Redundancy Analysis for semiconductor chipsHelik Kanti Thacker, Sairam Jujjarapu, Adrita Barari, Damini, Paulami Das, Sudhanshu Gupta, Akhilesh Sudhir Patankar, Keerthi Kiran Jagannathachar, Deokgu Yoon. 119-125 [doi]
• DeepWafer: A Generative Wafermap Model with Deep Adversarial NetworksHamidreza Mahyar, Peter Tulala, Elahe Ghalebi, Radu Grosu. 126-131 [doi]
• Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid ModelsFrederick Mubang, Lawrence O. Hall. 132-139 [doi]
• Towards Emotion Cause Generation in Natural Language Processing using Deep LearningMd. Riyadh, M. Omair Shafiq. 140-147 [doi]
• Towards Fake News Detection on Social MediaJawaher Alghamdi, Yuqing Lin, Suhuai Luo. 148-153 [doi]
• Sentence Similarity Recognition in Portuguese from Multiple Embedding ModelsAna Carolina Rodrigues, Ricardo M. Marcacini. 154-159 [doi]
• A Robust Approach to Fine-tune Pre-trained Transformer-based models for Text Summarization through Latent Space CompressionAla Alam Falaki, Robin Gras. 160-167 [doi]
• Bayesian Rule Ontologies For XAI Classification and RegressionAkash Kumar Panda, Bart Kosko. 168-175 [doi]
• Histogram Layers for Synthetic Aperture Sonar ImageryJoshua Peeples, Alina Zare, Jeffrey Dale, James Keller 0001. 176-182 [doi]
• Kernelization of Tensor Discriminant Analysis with Application to Image RecognitionCagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman. 183-189 [doi]
• A Vision Transformer Architecture for Open Set RecognitionFeiyang Cai, Zhenkai Zhang, Jie Liu, Xenofon D. Koutsoukos. 190-197 [doi]
• Attention-Based Generative Neural Image Compression on Solar Dynamics ObservatoryAli Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Daniel Da Silva, Michael S. F. Kirk. 198-205 [doi]
• Fair Algorithms for Hierarchical Agglomerative ClusteringAnshuman Chhabra, Prasant Mohapatra. 206-211 [doi]
• BlinkNet: Software-Defined Deep Learning Analytics with Bounded ResourcesBrian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang. 212-219 [doi]
• Nested Multiple Instance Learning with Attention MechanismsSaul Fuster, Trygve Eftestøl, Kjersti Engan. 220-225 [doi]
• Comparing the quality of neural network uncertainty estimates for classification problemsDaniel Ries, Joshua Michalenko, Tyler Ganter, Rashad Imad-Fayez Baiyasi, Jason Adams. 226-233 [doi]
• Bootstrap Advantage Estimation for Policy Optimization in Reinforcement LearningMd. Masudur Rahman 0001, Yexiang Xue. 234-239 [doi]
• Mixed Time-Frame Training for Reinforcement LearningGautham Senthilnathan. 240-250 [doi]
• Interpretable Reinforcement Learning with Multilevel Subgoal DiscoveryAlexander V. Demin, Denis K. Ponomaryov. 251-258 [doi]
• Benchmarking Offline Reinforcement LearningAndrew Tittaferrante, Abdulsalam Yassine. 259-263 [doi]
• Safe Reinforcement Learning for LiDAR-based Navigation via Control Barrier FunctionLixing Song, Luke Ferderer, Shaoen Wu. 264-269 [doi]
• Balancing Similarity-Contrast in Unsupervised Representation Learning: Evaluation with Reinforcement LearningMenore Tekeba Mengistu, Getachew Alemu, Pierre Chevaillier, Pierre De Loor. 270-277 [doi]
• Hawkes Process Multi-armed Bandits for Search and RescueWen-Hao Chiang, George O. Mohler. 278-285 [doi]
• ACGANs Improve Chemical Sensors for Challenging DistributionsAlexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski. 286-293 [doi]
• CANBERT: A Language-based Intrusion Detection Model for In-vehicle NetworksEbelechukwu Nwafor, Habeeb Olufowobi. 294-299 [doi]
• AI privacy preserving robots working in a smart sensor environmentImen Chakroun, Geert Vanmeerbeeck, Roel Wuyts, Wilfried Verarcht. 300-306 [doi]
• Bad Citrus: Reducing Adversarial Costs with Model DistancesGiorgio Severi, Will Pearce, Alina Oprea. 307-312 [doi]
• DDSupport: Language Learning Support System that Displays Differences and Distances from Model SpeechKazuki Kawamura, Jun Rekimoto. 313-320 [doi]
• ECG Fiducial Point Localization Using a Deep Learning ModelMurtadha D. Hssayeni, Arash Andalib, Rishabh Singh, Diego Pava, Kan Li, Steven Borzak, Robert Chait, Kaustubh Kale. 321-328 [doi]
• Transformer-Based Speech Synthesizer Attribution in an Open Set ScenarioEmily R. Bartusiak, Edward J. Delp. 329-336 [doi]
• Quantifying Cognitive Load from Voice using Transformer-Based Models and a Cross-Dataset EvaluationPascal Hecker, Arpita Kappattanavar, Maximilian Schmitt, Sidratul Moontaha, Johannes Wagner 0001, Florian Eyben, Björn W. Schuller, Bert Arnrich. 337-344 [doi]
• Score-based Image-to-Image Regression with Synchronized DiffusionHao Xin, Michael Yu Zhu. 345-352 [doi]
• Label-Free Mammalian Cell Tracking Enhanced by Precomputed Velocity FieldsYue Han, Yang Lei, Viktor Shkolnikov, Daisy Xin, Steven Barcelo, Jan P. Allebach, Edward J. Delp. 353-360 [doi]
• SVTON: Simplified Virtual Try-OnTasin Islam, Alina Dana Miron, Xiaohui Liu, Yongmin Li 0001. 369-374 [doi]
• Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correctionMajid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila. 375-381 [doi]
• DeepReject and DeepRoad: Road Condition Recognition and Classification Under Adversarial ConditionsHidetomo Sakaino. 382-389 [doi]
• Cluster Management of Scientific Literature in HSTOOLJohan Schubert, Ulrika Wickenberg-Bolin. 390-395 [doi]
• Transfer Learning model for Social Emotion Prediction using Writers Emotions in CommentsAbdullah Alsaedi, Stuart Thomason, Floriana Grasso, Phillip Brooker. 396-400 [doi]
• A Neural Model for Regular Grammar InductionPeter Belcak, David Hofer, Roger Wattenhofer. 401-406 [doi]
• An Ontology-based transfer learning method improving classification of medical documentsDaniel Bruneß, Matthias Bay, Christian Schulze, Michael Guckert, Mirjam Minor. 407-412 [doi]
• Classifying the Ideological Orientation of User-Submitted Texts in Social MediaKamalakkannan Ravi, Adan Ernesto Vela, Rickard Ewetz. 413-418 [doi]
• Math Chunking and Function Recognition using Deep LearningFatimah Alshamari, Abdou Youssef. 419-424 [doi]
• Extending Rapid Class Augmentation to a YOLOv3 Object Detection ArchitectureHanna E. Witzgall. 425-430 [doi]
• Uncertainty Prediction for Facial Action Units Recognition under Degraded ConditionsJunya Saito, Sachihiro Youoku, Ryosuke Kawamura, Akiyoshi Uchida, Kentaro Murase, Xiaoyu Mi. 431-436 [doi]
• On-Board Pedestrian Trajectory Prediction Using Behavioral FeaturesPhillip Czech, Markus Braun 0003, Ulrich Kreßel, Bin Yang. 437-443 [doi]
• Real-Time Facial Emotion Detection Through the Use of Machine Learning and On-Edge ComputingAshley Dowd, Navid Hashemi Tonekaboni. 444-448 [doi]
• TrADe Re-ID - Live Person Re-Identification using Tracking and Anomaly DetectionLuigy Machaca, F. Oliver Sumari H., Jose Huaman, Esteban Clua, Joris Guérin. 449-454 [doi]
• Deep object detection for waterbird monitoring using aerial imageryKrish Kabra, Alexander Xiong, Wenbin Li, Minxuan Luo, William Lu, Tianjiao Yu, Jiahui Yu, Dhananjay Singh, Raul Garcia, Maojie Tang, Hank Arnold, Anna Vallery, Richard Gibbons, Arko Barman. 455-460 [doi]
• Self-Supervised Learning in the Twilight of Noisy Real-World DatasetsAtharva Tendle, Andrew Little, Stephen Scott, Mohammad Rashedul Hasan. 461-464 [doi]
• An Edge-based Real-Time Object DetectionAli Ahmadinia, Jaabaal Shah. 465-470 [doi]
• Continuous Human Activity Recognition using Radar Imagery and Dynamic Time WarpingRuchita Mehta, Vasile Palade, Sara Sharifzadeh, Bo Tan 0003, Yordanka Karayaneva. 471-476 [doi]
• DoPose-6D dataset for object segmentation and 6D pose estimationAnas Gouda, Abraham Ghanem, Christopher Reining. 477-483 [doi]
• Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image DenoisingAditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia. 484-489 [doi]
• Machine Learning for Classifying Images with Motion BlurRogelio E. Garcia, Jacqueline Alvarez, Roummel F. Marcia. 490-494 [doi]
• Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D SupervisionAmirHossein Zamani, Amir G. Aghdam, Kamran Ghaffari. 495-500 [doi]
• Spars Kernelized Features for Prediction of Rock's Carbon Capture using 3D X-Ray ImagesSara Sharifzadeh. 501-506 [doi]
• Learning Non-linear White-box Predictors: A Use Case in Energy SystemsSandra Wilfling, Masoud Ebrahimi, Qamar Alfalouji, Gerald Schweiger, Mina Basirat. 507-512 [doi]
• Application of Machine Learning Techniques in Temperature ForecastAdrin Issai Arasu, Manish Modani, Nagabhushana Rao Vadlamani. 513-518 [doi]
• DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model InterpretationAbdul Basit Hafeez, Eduardo Alonso, Atif Riaz. 519-524 [doi]
• California Wildfire Prediction using Machine LearningKaylee Pham, David Ward, Saulo Rubio, David Shin, Lior Zlotikman, Sergio Ramirez, Tyler Poplawski, Xunfei Jiang. 525-530 [doi]
• The Performance-Actionability Trade-Off in Retention Prediction at Middle SchoolSusana Lavado, Miguel Mateus, Leid Zejnilovic. 531-536 [doi]
• Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotationNan Ding, Hélène Urien, Florence Rossant, Jérémie Sublime, Michel Pâques. 537-542 [doi]
• Lung Nodules Identification in CT Scans Using Multiple Instance LearningWiem Safta, Hichem Frigui. 543-548 [doi]
• On the Generalizability of ECG-based Stress Detection ModelsPooja Prajod, Elisabeth André. 549-554 [doi]
• Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network CorrelationsJennifer Schwabe, Chelsea Hua, Emma M. Allen, Leonard A. Jason, Jacob Furst, Daniela Raciu. 555-559 [doi]
• IGN : Implicit Generative NetworksHaozheng Luo, Tianyi Wu, Colin Feiyu Han, Zhijun Yan. 560-566 [doi]
• CandyRL: A Hybrid Reinforcement Learning Model for GameplaySara Karimi, Sahar Asadi, Francesco Lorenzo, Amir Hossein Payberah. 567-572 [doi]
• Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Marco Fantozzi, Alessandro Marchetti. 573-578 [doi]
• Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual LearningYuki Miyashita, Toshiharu Sugawara. 579-584 [doi]
• Hyperparameter Tuning in Offline Reinforcement LearningAndrew Tittaferrante, Abdulsalam Yassine. 585-590 [doi]
• Empirical analysis of the convergence of Double DQN in relation to reward sparsitySamuel Blad, Martin Längkvist, Franziska Klügl, Amy Loutfi. 591-596 [doi]
• Contingency-constrained economic dispatch with safe reinforcement learningMichael Eichelbeck, Hannah Markgraf, Matthias Althoff. 597-602 [doi]
• The impact of low-cost molecular geometry optimization in property prediction via graph neural networkGabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles. 603-608 [doi]
• Separating Flows in Encrypted Tunnel TrafficAlexander Hartl, Joachim Fabini, Tanja Zseby. 609-616 [doi]
• Novel Adversarial Defense Techniques for White-Box AttacksJason Van Tuinen, Aditya Ranganath, Goran Konjevod, Mukesh Singhal, Roummel F. Marcia. 617-622 [doi]
• IDPS Signature Classification with a Reject Option and the Incorporation of Expert KnowledgeHidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada. 623-628 [doi]
• Probabilistic Approach for Recommendation SystemsNada Abdalla, Damien Forthomme. 629-634 [doi]
• Predicting Customer Churn in RetailingDirar Sweidan, Ulf Johansson, Anders Gidenstam, Beatrice Alenljung. 635-640 [doi]
• Bayesian Sequential Optimal Experimental Design for Linear Regression with Reinforcement LearningFadil Santosa, Loren Anderson. 641-646 [doi]
• One-Shot Federated Group Collaborative FilteringMaksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev 0001, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov. 647-652 [doi]
• Behavior Sequence Transformer Applied on SERP Evaluation and Model InterpretationXiaoyu Dong, Shen Shen, Jinkang Jia, Lianzhao Yu, Yifan Wang, Po Zhang. 653-658 [doi]
• Few-Shot Link Prediction with Domain-Agnostic Graph EmbeddingHao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang 0062, Hao Yang 0007, Soha Hassoun. 659-664 [doi]
• PARTIME: Scalable and Parallel Processing Over Time with Deep Neural NetworksEnrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci. 665-670 [doi]
• W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series ForecastingLena Sasal, Tanujit Chakraborty, Abdenour Hadid. 671-676 [doi]
• Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCAJackson Cates, Randy C. Hoover, Kyle A. Caudle, David Marchette, Cagri Ozdemir. 677-680 [doi]
• Unsupervised Anomaly Detection and Root Cause Analysis for an Industrial Press Machine based on Skip-Connected AutoencoderChenwei Sun, Martin Trat, Janek Bender, Jivka Ovtcharova, George Jeppesen, Jan Bär. 681-686 [doi]
• Individualized Conditioning and Negative Distances for Speaker SeparationTao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu. 687-692 [doi]
• Audio Classification of Low Feature Spectrograms Utilizing Convolutional Neural NetworksNoel Elias. 693-698 [doi]
• CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networksAlaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara. 699-702 [doi]
• Adversarial Attacks on Speech Separation SystemsKendrick Trinh, Melody Moh, Teng-Sheng Moh. 703-708 [doi]
• CCVAE: A Variational Autoencoder for Handling Censored CovariatesCaroline Svahn, Oleg Sysoev. 709-714 [doi]
• Autoencoder Ensemble Method for Botnets Detection on IOT DevicesSteven E. Arroyo, Shen-Shyang Ho. 715-720 [doi]
• Federated Learning Aggregation: New Robust Algorithms with GuaranteesAdnan Ben Mansour, Gaia Carenini, Alexandre Duplessis, David Naccache. 721-726 [doi]
• Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed GradientsXingyu Li, Zhe Qu, Bo Tang, Zhuo Lu. 727-732 [doi]
• A Deep Learning based Hand Gesture Recognition on a Low-power Microcontroller using IMU SensorsDaniel Lauss, Florian Eibensteiner, Phillip Petz. 733-736 [doi]
• Safe Robot Navigation Using Constrained Hierarchical Reinforcement LearningFelippe Schmoeller Roza, Hassan Rasheed, Karsten Roscher, Xiangyu Ning, Stephan Günnemann. 737-742 [doi]
• SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT SystemsYousef AlShehri, Lakshmish Ramaswamy. 743-747 [doi]
• Deep Learning and Pattern-based Methodology for Multivariable Sensor Data RegressionJiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr. 748-753 [doi]
• Source Domain Selection for Cross-House Human Activity Recognition with Ambient SensorsHao Niu, Huy Quang Ung, Shinya Wada. 754-759 [doi]
• Intent based Multimodal Speech and Gesture Fusion for Human-Robot Communication in Assembly SituationSheuli Paul, Michael Sintek, Veton Këpuska, Marius Silaghi 0001, Liam Robertson. 760-763 [doi]
• EVDD - A Novel Dataset For Embedded System Vulnerability Detection MechanismMansour Alqarni, Akramul Azim, Tegveer Singh. 764-769 [doi]
• A Real-time Digit Gesture Recognition System Based on mmWave RadarChun Yuan, Youxuan Zhong, Jiake Tian, Yi Zou. 770-775 [doi]
• Real-Time Change Detection At the EdgeKrishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai. 776-781 [doi]
• Cost-sensitive Hierarchical Clustering for Dynamic Classifier SelectionMeinolf Sellmann, Tapan Shah 0001. 782-787 [doi]
• TranSQL: A Transformer-based Model for Classifying SQL QueriesShirin Tahmasebi, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin. 788-793 [doi]
• Trade-off between reconstruction loss and feature alignment for domain generalizationThuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron. 794-801 [doi]
• From Causal Pairs to Causal GraphsRezaur Rashid, Jawad Chowdhury, Gabriel Terejanu. 802-807 [doi]
• Edge utilization in graph convolutional networks for graph classificationXiao Yue, Guangzhi Qu, Bo Liu 0024, Feng Zhang 0012. 808-813 [doi]
• Dynamic Binary Cross Entropy: An effective and quick method for model convergenceChinmay Ajit Kulkarni, Mohith Rajesh, Shylaja S. Sharath. 814-818 [doi]
• Variational Inference via Rényi Upper-Lower Bound OptimizationDana Oshri Zalman, Shai Fine. 819-824 [doi]
• Stochastic Induction of Decision Trees with Application to Learning Haar TreesAzar Alizadeh, Mukesh Singhal, Vahid Behzadan, Pooya Tavallali, Aditya Ranganath. 825-830 [doi]
• A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural NetworksAzar Alizadeh, Pooya Tavallali, Vahid Behzadan, Aditya Ranganath, Mukesh Singhal. 831-836 [doi]
• semiMul: Floating-Point Free Implementations for Efficient and Accurate Neural Network TrainingAli Nezhadi, Shaahin Angizi, Arman Roohi. 837-842 [doi]
• Code2Snapshot: Using Code Snapshots for Learning Representations of Source CodeMd. Rafiqul Islam Rabin, Mohammad Amin Alipour. 843-848 [doi]
• HeteroGenius: An Improvised 'Intelligence' in Heterogeneous Graph TransformersNafiz Sadman, Akib Sadmanee, Kishor Datta Gupta, Roy George. 849-854 [doi]
• A Layer Decomposition Approach to Inference Time Prediction of Deep Learning ArchitecturesOla Mustafa Alqahtani, Lakshmish Macheeri Ramaswamy. 855-859 [doi]
• Multi-Learning Generalised Low-Rank ModelsFrancois Buet-Golfouse, Parth Pahwa. 860-865 [doi]
• Classification of Functional Data: A Comparative StudyCarlos Ramos-Carreño, José Luis Torrecilla, Alberto Suárez 0001. 866-871 [doi]
• An exploratory analysis of a dynamic ensemble structure using an automatic decision processCarine A. Dantas, Anne M. P. Canuto, João C. Xavier Junior, Rômulo de Oliveira Nunes. 872-875 [doi]
• A New Framework to Assess the Individual Fairness of Probabilistic ClassifiersMuhammad Fawad Akbar Khan, Hamid Karimi. 876-881 [doi]
• Towards Fairness and Interpretability: Clinical Decision Support for Acute Coronary SyndromeHimanshu S. Sahoo, Nicholas Ingraham, Greg M. Silverman, John Sartori. 882-886 [doi]
• Ontology-Based Post-Hoc Explanations via Simultaneous Concept ExtractionAndrew Ponomarev, Anton Agafonov. 887-890 [doi]
• Clustering image data with a fixed embeddingYan-Bin Chen, Khong-Loon Tiong, Chen-Hsiang Yeang. 891-896 [doi]
• Fine-grained analysis of the transformer model for efficient pruningLeila Ben Letaifa, Jean-Luc Rouas. 897-902 [doi]
• Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data AnalysisDavid Biesner, Thore Gerlach, Christian Bauckhage, Bernd Kliem, Rafet Sifa. 903-908 [doi]
• Distribution Based Upper Lower Bound Estimation In Deep Neural NetsMuluken Regas Eressa, Hakim Badis, Dorian Grosso. 909-913 [doi]
• Smooth Trajectory Collision Avoidance through Deep Reinforcement LearningSirui Song, Kirk Saunders, Ye Yue, Jundong Liu. 914-919 [doi]
• Feature Extraction for Out of Distribution Detection via Self-Supervised LearningClaire Thorp, Sean Sisti, Walter D. Bennette. 920-924 [doi]
• Recurrent Neural Network-Based Video CompressionZahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila. 925-930 [doi]
• Contactless Low Power Air-Writing Based on FMCW Radar Networks Using Spiking Neural NetworksMuhammad Arsalan, Tao Zheng, Avik Santra, Vadim Issakov. 931-935 [doi]
• Impact of Labeling Noise on Machine Learning: A Cost-aware Empirical StudyAbdulrahman Ahmed Gharawi, Jumana Alsubhi, Lakshmish Ramaswamy. 936-939 [doi]
• Deformable Registration of Low-overlapping Medical ImagesBertram Sabrowsky-Hirsch, Bernhard Schenkenfelder, Christoph Klug, Gernot Reishofer, Josef Scharinger. 940-945 [doi]
• Improving Chest X-Ray Classification by RNN-based Patient MonitoringDavid Biesner, Helen Schneider, Benjamin Wulff, Ulrike I. Attenberger, Rafet Sifa. 946-950 [doi]
• Prediction of Heart Attacks using Data Mining TechniquesBassam A. Abdelghani, Sophia Fadal, Shadi Bedoor, Shadi Banitaan. 951-956 [doi]
• Predicting anxiety treatment outcomes with machine learningMarija Stanojevic, Lesley A. Norris, Philip C. Kendall, Zoran Obradovic. 957-962 [doi]
• Comparative Study on 1.5T - 3T MRI Conversion through Deep Neural Network ModelsBinhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu. 963-968 [doi]
• Using Artificial Intelligence to Predict Patient Electronic Health Record Access PointsD. J. McMoran, Alejandra Maria O'Malley, Aysun Karamustafaoglu, Daniel M. Fisher, Gulustan Dogan. 969-973 [doi]
• Time-to-event modeling of subreddits transitions to r/SuicideWatchXueying Liu, Shiaofen Fang, George O. Mohler, Joan Carlson, Yunyu Xiao. 974-979 [doi]
• Machine Learning in Personalized Skin Care: A Simulation Scheme for Pattern Recognition in Skin Condition Genome-wide Association StudiesJerry Bonnell, Melanie Xia, Lee Wall, York Eggleston, Mitsunori Ogihara, Vanessa Aguiar-Pulido. 980-985 [doi]
• Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy DatasetsAhsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif. 986-991 [doi]
• Symbolic Semantic Memory in Transformer Language ModelsRobert Morain, Kenneth Vargas, Dan Ventura. 992-998 [doi]
• Online Handwriting Recognition using LSTM on Microcontroller and IMU SensorsFlorian Meißl, Florian Eibensteiner, Phillip Petz, Josef Langer. 999-1004 [doi]
• Using Natural Language Processing to Predict Costume Core Vocabulary of Historical ArtifactsMadhuvanti Muralikrishnan, Amr Hilal, Chreston Miller, Dina Smith-Glaviana. 1005-1011 [doi]
• Rethinking of Domain Users Control in Computer Vision Pipelines by Customized AttentionMajid Shirazi, Georgij Safronov, Amr Rizk. 1018-1025 [doi]
• Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel LogisticsAlexander Naumann, Felix Hertlein, Benchun Zhou, Laura Dörr, Kai Furmans. 1026-1031 [doi]
• Deep Neural Network Piration without Accuracy LossAritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty. 1032-1038 [doi]
• VDGraph2Vec: Vulnerability Detection in Assembly Code using Message Passing Neural NetworksAshita Diwan, Miles Q. Li, Benjamin C. M. Fung. 1039-1046 [doi]
• Can We Predict Consequences of Cyber Attacks?Prerit Datta, Akbar Siami Namin, Keith S. Jones. 1047-1054 [doi]
• ICDARTS: Improving the Stability of Cyclic DARTSEmily J. Herron, Steven R. Young, Derek C. Rose. 1055-1062 [doi]
• Regression Expression Variation Analysis (REVA): a rank-based multi-dimensional measure of correlationBahman Afsari, Alexander V. Favorov, Elana J. Fertig, Leslie Cope. 1063-1070 [doi]
• An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing MapsRicardo Cerri, Elaine R. Faria, João Gama 0001. 1071-1076 [doi]
• Transfer Learning for Bayesian Optimization with Principal Component AnalysisHideyuki Masui, Diego Romeres, Daniel Nikovski. 1077-1084 [doi]
• Decision Boundaries of Deep Neural NetworksHamid Karimi, Tyler Derr. 1085-1092 [doi]
• Class-wise and reduced calibration methodsMichael Panchenko, Anes Benmerzoug, Miguel de Benito Delgado. 1093-1100 [doi]
• Universal Thompson SamplingMarco Faella, Luigi Sauro. 1109-1114 [doi]
• Secure Federated Training: Detecting Compromised Nodes and Identifying the Type of AttacksPretom Roy Ovi, Aryya Gangopadhyay, Robert F. Erbacher, Carl E. Busart. 1115-1120 [doi]
• Software package for regression algorithms based on Gaussian Conditional Random FieldsTijana Markovic, Vladan Devedzic, Fang Zhou, Zoran Obradovic. 1121-1128 [doi]
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• Active learning of causal probability treesTue Herlau. 1196-1202 [doi]
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• Using Contextual Bandits for Maintaining Driver's Alertness via Personalized InterventionsAndrew Ponomarev. 1224-1229 [doi]
• Evolutionary Neural Architecture Search for Traffic ForecastingDaniel Klosa, Christof Büskens. 1230-1237 [doi]
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• Temporal Rule-Based Counterfactual Explanations for Multivariate Time SeriesOmar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi. 1244-1249 [doi]
• Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum LearningLars Væhrens, Daniel Díez Álvarez, Ulrich Berger, Simon Bøgh. 1250-1257 [doi]
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• Exploring Edge Machine Learning-based Stress Prediction using Wearable DevicesSang-Hun Sim, Tara Paranjpe, Nicole Roberts, Ming Zhao. 1266-1273 [doi]
• Using Transparent Neural Networks and Wearable Inertial Sensors to Generate Physiologically-Relevant Insights for GaitLin Zhou, Eric Fischer, Clemens Markus Brahms, Urs Granacher, Bert Arnrich. 1274-1280 [doi]
• XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely ValuesAnand Dubey, Niall Lyons, Avik Santra, Ashutosh Pandey. 1281-1288 [doi]
• Causal Inference for Personalized Treatment Effect Estimation for given Machine Learning ModelsJohannes Rust, Serge Autexier. 1289-1295 [doi]
• Predicting Clinical Events via Graph Neural NetworksTeja Kanchinadam, Shaheen Gauher. 1296-1303 [doi]
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• Pose Estimation for Future Prediction of FallingEvan Kurpiewski, Gulustan Dogan. 1312-1317 [doi]
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• Autoencoder Feature Residuals for Network Intrusion Detection: Unsupervised Pre-training for Improved PerformanceBrian Lewandowski, Randy C. Paffenroth. 1334-1341 [doi]
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• Performance Benchmark of Machine Learning-Based Methodology for Swahili News Article CategorizationShaun Anthony Little, Kaushik Roy 0003, Ahmed Al Hamoud. 1517-1521 [doi]
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• Predicting MXene Properties via Machine LearningEric W. Vertina, N. Aaron Deskins, Emily Sutherland, Oren Mangoubi. 1573-1578 [doi]
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• On the Robustness of Deep Learning-Based Speech EnhancementAmit S. Chhetri, Philip Hilmes, Mrudula Athi, Nikhil Shankar. 1587-1594 [doi]
• Dealing with Distribution Shift in Acoustic Mosquito DatasetsHermann Y. Nkouanga, Suresh Singh. 1595-1600 [doi]
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• AAEBERT: Debiasing BERT-based Hate Speech Detection Models via Adversarial LearningEbuka Okpala, Long Cheng 0005, Nicodemus Msafiri John Mbwambo, Feng Luo 0001. 1606-1612 [doi]
• Managing imprecise map and image data in a possibility theory frameworkKhensa Daoudi, Maroua Yamami, Salem Benferhat, Lila Meziani. 1613-1618 [doi]
• Machine learning protocol from ultrasound data for monitoring, predicting, and supporting the analysis of dam slopesWerickson F. C. Rocha, Antônio U. Lucena, Gabriel F. Sarmanho, Rodrigo C. Félix, Sandro A Miqueleti, Tiago C. Dourado. 1619-1623 [doi]
• Nuclide Identification using CsI(Tl) Gamma Ray Spectra and Neural NetworksTimo Maiwald, Erich Leder, Ralf Pijahn, Reinhard Buchhold, Georg Fischer. 1624-1628 [doi]
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