Abstract is missing.
- Contextual Data Augmentation for Task-Oriented Dialog SystemsDustin Axman, Avik Ray, Shubham Garg, Jing Huang 0020. 3-12 [doi]
- Fairness of ChatGPT and the Role of Explainable-Guided PromptsYashar Deldjoo. 13-22 [doi]
- Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph NetworksAlessio Gravina, Claudio Gallicchio, Davide Bacciu. 25-36 [doi]
- On the Noise Robustness of Analog Complex-Valued Neural NetworksDiego Argüello Ron. 37-50 [doi]
- Neu-BrAuER: A Neuromorphic Braille Letters Audio-Reader for Commercial Edge DevicesVittorio Fra, Andrea Pignata, Riccardo Pignari, Enrico Macii, Gianvito Urgese. 51-60 [doi]
- Transductive Fire-Affected Area Segmentation Using False-Color Composite DataChao Yi, Xu-Yang Chen, Lu Ren, Han-Jia Ye, De-Chuan Zhan. 63-72 [doi]
- Post Wildfire Burnt-up Detection Using Siamese UNetSagar Verma, Kavya Gupta. 73-81 [doi]
- Predicting Exoplanetary Features with a Residual Model for Uniform and Gaussian DistributionsAndrew Sweet. 82-99 [doi]
- Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate ModelEyup B. Unlu, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva. 100-112 [doi]
- Simulation-Based Inference for Exoplanet Atmospheric Retrieval: Insights from Winning the Ariel Data Challenge 2023 Using Normalizing FlowsMayeul Aubin, Carolina Cuesta-Lázaro, Ethan Tregidga, Javier Viaña, Cecilia Garraffo, Iouli E. Gordon, Mercedes López-Morales, Robert J. Hargreaves, Vladimir Yu. Makhnev, Jeremy J. Drake, Douglas P. Finkbeiner, Phillip Cargile. 113-131 [doi]
- Implications of Noise in Resistive Memory on Deep Neural Networks for Image ClassificationYannick Emonds, Kai Xi, Holger Fröning. 135-149 [doi]
- Evaluating Custom-Precision Operator Support in MLIR for ARM CPUsManfred Mücke, Christoph Gratl. 150-162 [doi]
- μYOLO: Towards Single-Shot Object Detection on MicrocontrollersMark Deutel, Christopher Mutschler, Jürgen Teich. 163-169 [doi]
- OptiSim: A Hardware-Aware Optimization Space Exploration Tool for CNN ArchitecturesMartin Lechner, Axel Jantsch. 170-182 [doi]
- On the Non-associativity of Analog ComputationsLisa Kuhn, Bernhard Klein, Holger Fröning. 183-195 [doi]
- Quantized Dynamics Models for Hardware-Efficient Control and Planning in Model-Based RLNitish Satya Murthy, Francky Catthoor, Marian Verhelst, Peter Vrancx. 196-209 [doi]
- Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin BlockchainRafael Ramos Tubino, Rémy Cazabet, Natkamon Tovanich, Céline Robardet. 213-225 [doi]
- A Source Separation Approach to Temporal Graph Modelling for Computer NetworksCorentin Larroche. 229-244 [doi]
- Quantum Machine Learning for Malware ClassificationGrégoire Barrué, Tony Quertier. 245-260 [doi]
- Side-Channel Based Runtime Intrusion Detection for Network EquipmentArthur Grisel-Davy, Goksen U. Guler, Julian Dickert, Philippe Vibien, Waleed Khan, Jack Morgan, Carlos Moreno 0002, Sebastian Fischmeister. 261-276 [doi]
- I See Dead People: Gray-Box Adversarial Attack on Image-to-Text ModelsRaz Lapid, Moshe Sipper. 277-289 [doi]
- Concept Drift Detection Using Ensemble of Integrally Private ModelsAyush K. Varshney, Vicenç Torra. 290-304 [doi]
- ViBERTgrid BiLSTM-CRF: Multimodal Key Information Extraction from Unstructured Financial DocumentsFurkan Pala, Mehmet Yasin Akpinar, Onur Deniz, Gülsen Eryigit. 307-322 [doi]
- Comparing Deep RL and Traditional Financial Portfolio MethodsEric Benhamou, Jean-Jacques Ohana, Beatrice Guez, David Saltiel, Rida Laraki, Jamal Atif. 323-338 [doi]
- Occupational Fraud Detection Through Agent-Based Data GenerationJulian Tritscher, Alexander Roos, Daniel Schlör, Andreas Hotho, Anna Krause. 339-356 [doi]
- Stock Price Time Series Forecasting Using Dynamic Graph Neural Networks and Attention Mechanism in Recurrent Neural NetworksMarco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton. 357-373 [doi]
- Flexible Tails for Normalising Flows, with Application to the Modelling of Financial Return DataTennessee Hickling, Dennis Prangle. 374-386 [doi]
- Exploring Alternative Data for Nowcasting: A Case Study on US GDP Using Topic AttentionLucas Manchado-Marcos, Ariel Duarte-López, Argimiro Arratia. 387-401 [doi]
- Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale TransactionsHaseeb Tariq 0002, Marwan Hassani. 402-419 [doi]
- Boosting Credit Risk Data Quality Using Machine Learning and eXplainable AI TechniquesElena Tiukhova, Adriano Salcuni, Can Oguz, Marcella Niglio, Giuseppe Storti, Fabio Forte, Bart Baesens, Monique Snoeck. 420-429 [doi]
- Ensemble Methods for Stock Market PredictionJorge Miguel Bravo. 430-448 [doi]
- Federated Learning with Neural Graphical ModelsUrszula Chajewska, Harsh Shrivastava 0001. 451-460 [doi]
- On Improving Accuracy in Federated Learning Using GANs-Based Pre-training and Ensemble LearningThomas Tsouparopoulos, Iordanis Koutsopoulos. 461-469 [doi]
- Re-evaluating the Privacy Benefit of Federated LearningMohamed Suliman 0002, Douglas J. Leith, Anisa Halimi. 470-477 [doi]
- Parameterizing Federated Continual Learning for Reproducible ResearchBart Cox, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen. 478-486 [doi]