ICTAI B

141 papers

YearTitle / Authors
202436th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2024, Herndon, VA, USA, October 28-30, 2024
20243D-PSH: Lightweight 3D LiDAR Object Detection Using Adaptive Clustering and 3D Point Spatial Histograms.
Junaid Baber, Olivier Aycard
2024A Chatbot for Asylum-Seeking Migrants in Europe.
Bettina Fazzinga, Elena Palmieri, Margherita Vestoso, Luca Bolognini, Andrea Galassi, Filippo Furfaro, Paolo Torroni
2024A Comparison of Low-Shot Learning Methods for Imbalanced Binary Classification.
Preston Billion Polak, Taghi M. Khoshgoftaar
2024A DeBERTa-GPLinker-Based Model for Relation Extraction from Medical Texts.
Zhiqi Deng, Shutao Gong, Xudong Luo, Jinlu Liu
2024A Legal Judgment Prediction Model Based on BERT, Attention, and Graph Convolutional Network.
Binxia Yang, Guibin Chen, Xudong Luo
2024A Legal Multi-Choice Question Answering Model Based on DeBERTa and Attention Mechanism.
Ying Luo, Xudong Luo, Guibin Chen
2024A Machine Learning Approach to Model Counting.
Marco Dalla, Andrea Visentin, Barry O'Sullivan
2024A Machine Learning Based Tool to Estimate Coolant Engine Temperature Based on Motorcycle Riding Data.
Federico Pennino, Davide Sette, David Attisano, Maurizio Gabbrielli
2024A Novel Multi-Pose Person Re-Identification Method Based on Semantic- and Pose-Guided Feature Fusion.
Yuefeng Ma, Deheng Liu, Zhiqi Cheng, Shijian Li
2024A Robust Random Search Approach for Matching Formulas in Math Information Retrieval Systems.
Megan Shellman, Kate Hill, Yiu-Kai Ng
2024A Robust UAV Tracking Solution in the Adversarial Environment.
Mengjie Jia, Yanyan Li, Jiawei Yuan
2024A Systematic Analysis of Deep Learning Algorithms in High-Dimensional Data Regimes of Limited Size.
Simon Jaxy, Ann Nowé, Pieter Libin
2024A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs.
Xiaowei Liu, Kevin McAreavey, Weiru Liu
2024AGFA-Net: Attention-Guided Feature-Aggregated Network for Coronary Artery Segmentation Using Computed Tomography Angiography.
Xinyun Liu, Pengcheng Xiao, Michele Esposito, Manohar Raavi, Chen Zhao
2024Accelerating Prototype Selection with Spatial Abstraction.
Joel Luis Carbonera
2024Advancing the AI-Based Realization of ACAS X Towards Real-World Application.
Johann Maximilian Christensen, Akshay Anilkumar Girija, Thomas Stefani, Umut Durak, Elena Hoemann, Frank Köster, Thomas Krüger, Sven Hallerbach
2024Adversarially Regularized Graph Embedding for User Identity Linkage Across Social Networks.
Xiaoyu Guo, Yan Liu, Fenlin Liu
2024AgileAD: Anchor-Guided Contrastive Learning with a General Data Augmentation Strategy for Time Series Anomaly Detection.
Yulong Tian, Jiaxuan Xu, Jie Zuo, Lei Duan
2024An Efficient Approach for Cooperative Multi-Agent Learning Problems.
Ángel Aso-Mollar, Eva Onaindia
2024An Evaluation of Large Language Models for Geological Named Entity Recognition.
Rafael Oleques Nunes, Andre Suslik Spritzer, Dennis Giovani Balreira, Carla M. D. S. Freitas, Joel Luis Carbonera
2024An Improved Negative Selection Algorithm Based on a T Cell Multilayer Immune Tolerance Mechanism.
Lu Peng, Yiwen Liang, He Yang
2024An Ontology for Conversations with Virtual Research Assistants.
Anmol Saini, Jeffrey G. Ethier, Cogan Shimizu
2024Association of Multi-sensor Data for Autonomous Car Driving: A Comparative Evaluation.
E. Ghiasi, Ghazal Ghajari, M. Gottipati, P. S. S. Gogineni, R. Galla, N. Bourbakis
2024Autonomous Agents for Interrogation.
Merav Chkroun, Amos Azaria
2024Benchmarking Autonomous Driving Systems using a Modular and Scalable Simulation Environment.
Dávid Szilágyi, Kuderna-Iulian Benta, Christian Sacarea
2024Biterm Tensor Topic Model for Short Reviews in Recommender System.
Chengcheng Hao, Hui Liu, Wenping Shi, Shaoyun Zhang
2024Boosting Imperceptibility of Adversarial Attacks for Environmental Sound Classification.
Shaojian Qiu, Xiaokang You, Wei Rong, Lifeng Huang, Yun Liang
2024CSFI for Social Media: Understanding and Predicting Cross-Community Information Propagation.
Yuhang Wang, Wei Zhou, Ziang Hu, Jizhong Han, Tao Guo
2024Comparing Diverse Planning Strategies with Continuous Monte Carlo Tree Search Applied to Hybrid Gene Regulatory Networks.
Romain Michelucci, Jean-Paul Comet, Denis Pallez
2024Comparing Human and BERT-Siamese Network (BertSNN) in Product Domain Similarity Ranking for Cross-Domain Sentiment Analysis.
Haitao Zhao, Jasy Liew Suet Yan
2024Confident Labels: A Novel Approach to New Class Labeling and Evaluation on Highly Imbalanced Data.
Mary Anne Walauskis, Taghi M. Khoshgoftaar
2024ConsfomerST: Multilayer Transformer and Contrast Learning for Image Style Transfer.
Yuanfeng Zheng, Honggang Zhao
2024Continual Learning of 3D Point Cloud with Hyperbolic Manifold Replay.
Jin Yu, Zihao Xu, Zhengyu Li, Mingsong Chen, Xuan Tang, Xian Wei
2024Contrastive Point Cloud Pretraining for Enhanced Transformers.
Divyashree Shivalingappa Koti, Joshua L. Phillips, Frederick S. Cottle
2024Counterfactual Explanation Through Constraint Relaxation.
Sharmi Dev Gupta, Barry O'Sullivan, Luis Quesada
2024Cross-Paradigm Modelling: A Study of Puzznic.
Joan Espasa, Ian P. Gent, Ian Miguel, Peter Nightingale, András Z. Salamon, Mateu Villaret
2024Detecting Environment Drift in Reinforcement Learning Using a Gaussian Process.
Zhizhou Fang, Uwe Zdun
2024Domain Knowledge Guided Deep Neural Networks (DKG-DNN) for Prediction of Diaphragm Wall Deformation Induced by Excavation.
Huajing Zhao, Meng Wang, Yujie Yan
2024ESC-CoT: Easy-to-Hard Self-Comparative Chain-of-Thought for News Discourse Profiling.
Rong Zhu, Jingyuan Huang, Zejiang He, Menglong Lu, Zhen Huang, Jinhui Zhao, Yan Cao
2024Efficient Compensation of Action for Reinforcement Learning Policies in Sim2Real.
Weitao Zhang, Shaorong Xie, Xiangfeng Luo, Wenwen Xiao, Tao Wang
2024Enhanced Multimodal Sentiment Analysis via Tensor Decomposition and Hypergraph Convolutional Networks.
Xinyin Zhang, Yonghua Zhao, Yang Liu, Dingye Zhang
2024Enhancing Medicare Fraud Detection: Random Undersampling Followed by SHAP-Driven Feature Selection with Big Data.
Qianxin Liang, Richard A. Bauder, Taghi M. Khoshgoftaar
2024Enhancing Multi-Agent Robustness: Addressing the Off-Diagonal Problem with Population-Based Training.
Petra Vysusilová, Premysl Basta, Martin Pilát
2024Estimating Power Consumption of GPU Application Using Machine Learning Tool.
Gargi Alavani Prabhu, Tanish Desai, Sharvil Potdar, Nayan Gogari, Snehanshu Saha, Santonu Sarkar
2024Evaluating the Potential of Reinforcement Learning for Stochastic Machine Scheduling Problems.
Mohammed Majthoub Almoghrabi, Guillaume Sagnol
2024Explainable AI Assisted Evolutionary Search of Engineering Designs.
Rahul Dubey
2024Explainable Object Classification: Integrating Object Parts/Attributes and Expertise.
Jan Stodt, Christoph Reich, Martin Knahl, Nathan L. Clarke
2024Explaining Teleo-reactive Strategic Behaviour.
Nausheen Saba Shahid, Agnieszka Mensfelt, Kostas Stathis
2024Exploring the Suitability of the Cerebras Wafer Scale Engine for the Fast Prototyping of a Multilingual Hate Speech Detection System.
Michael Peter Hoffmann, Jophin John, Nicolay Hammer
2024Extending Hierarchical Partial-Order Causal-Link Planning to Temporal Problem Solving.
Nicolas Cavrel, Humbert Fiorino, Damien Pellier
2024Face Verification with Veridical and Caricatured Images using Prominent Attributes.
Jayam Sutariya, Cooper Flourens, Nathan Thom, Emily M. Hand
2024Fast Evasion Detection & Alert Management in Tree-Ensemble-Based Intrusion Detection Systems.
Valency Oscar Colaco, Simin Nadjm-Tehrani
2024Forgetting in Counting and Bounded Treewidth.
Johannes Klaus Fichte, Markus Hecher
2024Fuzzy Concession Strategy for Emotional Human-Computer Negotiation
Xudong Luo, Ying Luo, Kaili Sun, Yanling Li
2024Fuzzy-Empowered Decision Making Integrated with DDDAS-Matrix Profile Framework for Anomaly Detection in Radiation Measurements.
Miltiadis Alamaniotis
2024Generative Constraint Programming Revisited.
Florian Régin, Elisabetta De Maria
2024HTPSeg: A Semantic Segmentation Database for House-Tree-Person Psychological Test.
Hao Wang, Jin Wang, Ting Pan, Bingfeng Zhang, Weifeng Liu
2024ICLD: An Instance Contrastive Learning Domain Adaptive SAR Object Detection Network.
Shouhong Wan, Risheng Xie, Rui Wang, Hantao Zhang, Peiquan Jin
2024INRNet: Neighborhood Re-ranking Based Method for Pedestrian Text-Image Retrieval.
Kehao Wang, Yuhui Wang, Qifeng Li
2024Identifying Logical Patterns in Text for Reasoning.
Pauline Armary, Cheikh Brahim El Vaigh, Antoine Spicher, Ouassila Labbani-Narsis, Christophe Nicolle
2024Improved Pig Behavior Analysis Through Strategic Data Preprocessing Framework in Machine Learning.
Pranjal Ranjan, Sanjana Bharadwaj, Yingqi Pei, Kenan Burak Aydin, Dong Sam Ha, Gota Morota, Sook Shin Ha
2024InFusionLayer: A CFA-Based Ensemble Tool to Generate New Classifiers for Learning and Modeling.
Eric Roginek, Jingyan Xu, D. Frank Hsu
2024IndiCon: Selecting SAT Encodings for Individual Pseudo-Boolean and Linear Integer Constraints.
Felix Ulrich-Oltean, Peter Nightingale, James Alfred Walker
2024Integrated Framework for Device and Service Descriptions in the Web of Things.
Aimilios Tzavaras, Chrisa Tsinaraki, Euripides G. M. Petrakis
2024Intelligent Scheduling of Floating Nuclear Reactor Operation for Implementation of Distributed Smart Energy Systems in Remote Coastal Locations.
Miltiadis Alamaniotis
2024Interpretable Deep Learning for Solar Flare Prediction.
Vinay Ram Gazula, Katherine G. Herbert, Yasser Abduallah, Jason T. L. Wang
2024Introducing Constraint Well-Founded Semantics for Constraint Logic Programming Through Rewriting Transformations.
Bryan Garreau, Martín Diguez Lodeiro, Éric Monfroy, Igor Stéphan
2024Investigating Performance Patterns of Pre-Trained Models for Feature Extraction in Image Classification.
Matheus Vinícius Todescato, Joel Luís Carbonera
2024Investigating the Duality of Interpretability and Explainability in Machine Learning.
Moncef Garouani, Josiane Mothe, Ayah Barhrhouj, Julien Aligon
2024Job Runtime Prediction: A Two-Stage Framework Beyond PQR2 with Fallback and Enhanced Classification.
Rémi Lacaze-Labadie
2024KB2Bench: Toward a Benchmark Framework for Large Language Models on Medical Knowledge.
Douglas Adjei-Frempah, Lisa Chen, Paea LePendu
2024KRLGI: Knowledge Representation Learning Based on Global Information for Reasoning.
Bo Wu, Yingchi Mao, Fudong Chi, Yingjie Liu, Silong Ding, Rongzhi Qi
2024LLM-Based Digital Twin Water Conservancy Knowledge Graph Construction.
Yan Yang, Feng Ye, Dong Xu, Xuejie Zhang, Jin Xu
2024LLMs for Sentiment Analysis in Tourism Reviews: A Resource-Efficient Approach.
Dario Guidotti, Laura Pandolfo, Luca Pulina
2024LRIRL: Improving Knowledge Graph Reasoning through Representation Learning-Based Rule Induction.
Yingjie Liu, Yingchi Mao, Fudong Chi, Bo Wu, Silong Ding, Rongzhi Qi
2024LSMRec: Leveraging Hash-Enhanced Semantic Mapping for Superior Sequential Recommendations.
Haoyu Zhang, Wenfang Li
2024Lazy ad hoc Explanations for the Sum Constraint.
Suruthy Sekar, Gaël Glorian, Wijnand Suijlen, Éric Monfroy, Arnaud Lallouet
2024Learning Reliable PDDL Models for Classical Planning from Visual Data.
Aymeric Barbin, Federico Cerutti, Alfonso Emilio Gerevini
2024Learning and Simulating Human Behaviour with Relational Decision Trees.
Stanislav Sitanskiy, Laura Sebastia, Eva Onaindia
2024Linear Algebraic Partial Evaluation of Logic Programs.
Tuan Nguyen, Katsumi Inoue, Chiaki Sakama
2024Low-Density 3D Point Cloud Classification.
Ahmed Baha Ben Jmaa, Faten Chaieb
2024MBTSAD: Mitigating Backdoors in Language Models Based on Token Splitting and Attention Distillation.
Yidong Ding, Jiafei Niu, Ping Yi
2024MDRPC: Music-Driven Robot Primitives Choreography.
Haiyang Guan, Xiaoyi Wei, Weifan Long, Dingkang Yang, Peng Zhai, Lihua Zhang
2024MN-Net: Multi-Scale Feature Fusion and Neighborhood Attention Self-Supervised Network for Industrial Spool Surface Anomaly Detection.
Yuming Su, Yuxing Liu, Chao Yang, Lijun Yang, Dongming Tang
2024Machine Learning Based Recommendation Queries for Constraint Acquisition.
Hamza Islah, Younes Mechqrane
2024Memory and Schema in Human-Generative Artificial Intelligence Interactions.
Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios Bonakis, Dimitrios Dikeos, Maria Virvou, George A. Tsihrintzis
2024Modeling Long & Short-term Interests and Assigning Sample Weight for Multi-behavior Sequential Recommendation.
Tianyang Li, Hongbin Yan, Xingyun Wei
2024Multi-Agent Path Finding in Continuous Environment.
Kristýna Janovská, Pavel Surynek
2024Multi-Input Deep Learning Models for Weight Forecasting of Pigs Using Depth Images.
Pranjal Ranjan, Dong Sam Ha, Gota Morota, Sook Shin Ha
2024Multi-Level Graph Convolutional Network for Document Information Extraction.
Liang Zhang, Peng Guo, Lin Dong, Fangfang Yuan, Dakui Wang, Cong Cao, Yanbing Liu
2024Multi-Task Learning of Visual Attributes for Image Aesthetics Assessment.
Ting Yu, Jiahui Liu
2024Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation.
Wentao Wang, Xi Xiao, Mingjie Liu, Qizhen Lan, Xuanyao Huang, Qing Tian, Swalpa Kumar Roy, Tianyang Wang
2024Multi-type Vulnerability Detection with Staged Feature Fusion and Group Data Balance.
Boyang Zheng, Yawen Wang, Dongming Zhu, Yunzhan Gong
2024NNTailor: A Neural Network-Driven Fuzzer for DataBase Management Systems.
Shutao Chu, Yongjun Wang, Haoran Xu, Zhiyuan Jiang, Yongxin Chen
2024Near-Linear Time Projection onto the $\ell_{1, \infty}$ Ball; Application to Sparse Neural Networks.
Guillaume Perez, Laurent Condat, Michel Barlaud
2024Neural Tangent Bayesian Optimization for Accurate and Efficient Influence Maximization.
Zijian Zhang, Zonghan Zhang, Zhiqian Chen
2024On Weighted Maximum Model Counting: Complexity and Fragments.
Max Bannach, Markus Hecher
2024On the Learning of Explainable Classification Rules through Disjunctive Patterns.
Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Ahmed Samet
2024Optimizing Power Peaks in Simple Assembly Line Balancing Through Maximum Satisfiability.
Zhifei Zheng, Sami Cherif, Rui Sa Shibasaki
2024Parameterised Treewidth for Constraint Modelling Languages.
Justin Pearson
2024Partitioned Linear Orders and Belief Revision.
Jérome Gaigne, Khaled Belahcène, Sylvain Lagrue
2024Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection.
Qisen Cheng, Shuhui Qu, Janghwan Lee
2024PatentALL: Multi-label Patent Classification Using Adaptive Label Learning.
Yifan Qiang, Gaojie Sun, Hui Liu
2024Permutation Equivariant Deep Reinforcement Learning for Multi-Armed Bandit.
Zhuofan Xu, Benedikt Bollig, Matthias Függer, Thomas Nowak
2024Phoneme Substitution: A Novel Approach for Backdoor Attacks on Speech Recognition Systems.
Bicheng Xiong, Zedong Xing, Weiping Wen
2024Physics-Informed Machine Learning for Better Understanding Laser-Matter Interaction.
Fayad Ali Banna, Jean-Philippe Colombier, Rémi Emonet, Marc Sebban
2024Planning with Incomplete Knowledge and Uncertain Goals: A Comparative Evaluation.
H. C. Nagalla, R. V. Nagireddypalli, S. B. Naidu, N. G. Nalamasa, K. P. Nalla, N. Bourbakis
2024Power of Suggestion: Strategic Feature Manipulation in Transformer-Based Models.
Issam Benamara, Emmanuel Viennet
2024Predicting Protein-Protein Binding Affinity with Deep Learning: A Comparative Analysis of CNN and Transformer Models.
Lingtao Chen, Kazi Fahim Ahmad Nasif, Bobin Deng, Shuteng Niu, Chloe Yixin Xie
2024Problematic News Topic Spreader Prediction via Uncertainty-based Contrastive Learning for Marked Temporal Point Processes.
Haoran Chen, Dongmei Han
2024Pruning Boolean d-DNNF Circuits Through Tseitin-Awareness.
Vincent Derkinderen
2024Quadratic Assignment Contrastive Loss and Application on Graph Matching.
Xiangsheng Shi, Zhipeng Jiang
2024Rapid Autonomy Transfer in Reinforcement Learning with a Single Pre- Trained Critic.
Muhammad Faraz Karim, Yunjie Deng, Luyao Niu, Bhaskar Ramasubramanian, Michail S. Alexiou, Dinuka Sahabandu, Radha Poovendran, J. Sukarno Mertoguno
2024Recognizing Binary Code Semantics Towards Achieving Software Segmentation.
Michail S. Alexiou, Zeezoo Ryu, Grace Abawe, J. Sukarno Mertoguno
2024Remember Your Best: Improving Exploitation in Deep Q-Network.
Trupal Patel, Aasmaan Gupta, Raghuram Bharadwaj Diddigi
2024Renyi Entropy Search for Bayesian Optimization.
Maxime Macé, Tassadit Amghar, Paul Richard, Emmanuelle Ménétrier
2024Revisiting Frequent (Closed) Gradual Itemsets Mining.
Jerry Lonlac, Bernoulli Fotsing Tchide, Alain Bertrand Bomgni, Arnaud Doniec, Engelbert Mephu Nguifo
2024Rule-Based Constraint Elicitation For Active Constraint-Incremental Clustering.
Aymeric Beauchamp, Thi-Bich-Hanh Dao, Samir Loudni, Christel Vrain
2024SITH: Semantic Interpreter for Transformer Hierarchy.
Cheng Zhang, Jinxin Lv, Jingxu Cao, Jiachuan Sheng, Dawei Song, Tiancheng Zhang
2024SUDS: A Strategy for Unsupervised Drift Sampling.
Christofer Fellicious, Lorenz Wendlinger, Mario Lopez Gancarski, Jelena Mitrovic, Michael Granitzer
2024Selecting Search Strategy in Constraint Solvers using Bayesian Optimization.
Hedieh Haddad, Pierre Talbot, Pascal Bouvry
2024Semi-Automatic Discovery of Dependency Relationships Among Properties for Ranking-Based Semantics.
Kengo Hayashi, Ryuta Arisaka
2024Stable Discrete Segmented Reverse Diffusion Model for Solving Class Imbalance in Malicious Websites Detection.
Jiyang Shen, Tianlan Wei, Cong Cao
2024Subspace Rotation Algorithm for Training Restricted Hopfield Network.
Ci Lin, Tet Hin Yeap, Iluju Kiringa
2024SyREC: A Symbolic-Regression-Based Ensemble Combiner.
Kei Sen Fong, Mehul Motani
2024Synergizing Evolutionary Task Allocation with Learning-Driven Path Planning.
Yilan Yu, Jiang Qiu, Wei Li
2024TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting.
Hongnan Ma, Kevin McAreavey, Weiru Liu
2024Temporal Scene Understanding using Contextually Unique Identification.
Sanjiv S. Jha, Kimberly García, Yasmine Sheila Antille, Marc Elias Solèr, Simon Padua, Simon Mayer
2024The Power of Collaboration: Learning Large Bayesian Networks at Scale.
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider, Hai Xia
2024Toward Predictive Stock Trading with Hidformer Integrated into Reinforcement Learning Strategy.
Kamil L. Szydlowski, Jaroslaw A. Chudziak
2024Towards Designing an Energy Efficient Accelerated Sparse Convolutional Neural Network.
Vijaypal Singh Rathor, Munesh Singh, Rahul Gupta, G. K. Sharma, Kshira Sagar Sahoo, Monowar Bhuyan
2024Towards Releasing ViT from Pre-training.
Mario Haddad-Neto, André Silva, Rayol Mendonca-Neto, Moysés Lima, Luiz Cordovil Jr.
2024Unfolding Particle Detector Acceptance in High Energy Physics with Generative AI.
Tareq Alghamdi, Tommaso Vittorini, Marco Spreafico, Marco Battaglieri, Nobuo Sato, Yaohang Li
2024Unnecessary Budget Reduction in Federated Active Learning.
Enzhi Zhang, Liu Yang
2024Unsupervised Learning and Effective Complexity: Introducing JPG and Neural Sophistication.
Erick Gomez Soto, Rémi Emonet, Marc Sebban
2024Vehicle Energy Consumption Prediction Under Real-World Driving Conditions.
Binaya Sharma, Sayda Elmi, Kian-Lee Tan
2024Virtual Network Embedding as Boolean Satisfiability.
Pavel Surynek, Yi Zheng, Erik Kline, Sven Koenig, T. K. Satish Kumar
2024Weakly Supervised Video Anomaly Detection with Large Language Models Knowledge Enhancement Framework.
Sicong Zhan, Dandan Zhang, Jia Wang
2024Where to go Next ? Social and Spatio-Temporal Learning for Next Points-of-Interest Prediction Using Residual Vision Transformer.
Sayda Elmi, Sai Karthik Navuluru
2024Worldafford: Affordance Grounding Based on Natural Language Instructions.
Changmao Chen, Yuren Cong, Zhen Kan