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ORCID13th ICAART 2021 - Volume 2
- Ana Paula Rocha, Luc Steels, H. Jaap van den Herik:
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, Volume 2, Online Streaming, February 4-6, 2021. SCITEPRESS 2021, ISBN 978-989-758-484-8
Invited Speakers
- Gerhard Widmer:
Con Espressione! AI, Machine Learning, and Musical Expressivity. ICAART (1) 2021: 5 - Barbara Mazzolai:
Bioinspired Soft Robotics: Nature-inspired Solutions for Artificial Intelligent Systems. ICAART (1) 2021: 7 - Guy Van den Broeck:
From Probabilistic Circuits to Probabilistic Programs and Back. ICAART (1) 2021: 9 - Fosca Giannotti:
Explainable Machine Learning for Trustworthy AI. ICAART (1) 2021: 11
Artificial Intelligence
- Andreas Pentaliotis, Marco A. Wiering
:
Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better Performance. 17-28 - Razieh Nokhbeh Zaeem, K. Suzanne Barber:
Comparing Privacy Policies of Government Agencies and Companies: A Study using Machine-learning-based Privacy Policy Analysis Tools. 29-40 - Xiaodi Yang, Ziding Zhang, Stefan Wuchty:
Multi-scale Convolutional Neural Networks for the Prediction of Human-virus Protein Interactions. 41-48 - Robert Müller, Fabian Ritz, Steffen Illium, Claudia Linnhoff-Popien:
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning. 49-56 - Xiaotian Liu, Pengyi Shi, Tongtong Liu, Sarra M. Alqahtani, Paúl Pauca, Miles Silman:
Robustness-driven Exploration with Probabilistic Metric Temporal Logic. ICAART (2) 2021: 57-66 - Hal Ashton:
Causal Campbell-Goodhart's Law and Reinforcement Learning. 67-73 - Gavin Rens, Jean-François Raskin, Raphaël Reynouard, Giuseppe Marra:
Online Learning of non-Markovian Reward Models. 74-86 - Jiaxu Zhao, Li Huang, Ruixuan Sun, Liao Bing, Hong Qu:
Twin-GAN for Neural Machine Translation. 87-96 - Robert Müller, Steffen Illium, Fabian Ritz, Kyrill Schmid:
Analysis of Feature Representations for Anomalous Sound Detection. 97-106 - Yifei Chen, Lambert Schomaker, Marco A. Wiering:
An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning. 107-118 - Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luís C. Lamb:
Discrete and Continuous Deep Residual Learning over Graphs. 119-131 - Yuan Gao, Ziming Gao, Yi Hu, Sifan Song, Zhengyong Jiang, Jionglong Su:
A Framework of Hierarchical Deep Q-Network for Portfolio Management. 132-140 - Gábor Balázs, Mateusz Chmurski, Walter Stechele, Mariusz Zubert:
Sensor Fusion Neural Networks for Gesture Recognition on Low-power Edge Devices. 141-150 - Lining Hu, Yongfu Li:
Micro-YOLO: Exploring Efficient Methods to Compress CNN based Object Detection Model. 151-158 - Dominique Mercier, Syed Tahseen Raza Rizvi, Vikas Rajashekar, Andreas Dengel, Sheraz Ahmed:
ImpactCite: An XLNet-based Solution Enabling Qualitative Citation Impact Analysis Utilizing Sentiment and Intent. 159-168 - Guillaume Petiot:
Compiling Possibilistic Networks to Compute Learning Indicators. 169-176 - Kamil Kowol, Matthias Rottmann, Stefan Bracke, Hanno Gottschalk:
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors. 177-186 - Adam Vandor, Marie van Vollenhoven, Gerhard Weiss, Gerasimos Spanakis:
Can We Detect Harmony in Artistic Compositions? A Machine Learning Approach. 187-195 - Atik Ali, Souhila Arib, Samir Aknine:
A New Parking Space Allocation System based on a Distributed Constraint Optimization Approach. 196-204 - Miguel Solinas, Stephane Rousset, Romain Cohendet, Yannick Bourrier, Marion Mainsant, Anca Molnos, Marina Reyboz, Martial Mermillod:
Beneficial Effect of Combined Replay for Continual Learning. 205-217 - Victor Mataré, Tarik Viehmann, Till Hofmann, Gerhard Lakemeyer, Alexander Ferrein, Stefan Schiffer:
Portable High-level Agent Programming with golog++. 218-227 - Zeki Bilgin, Murat Gunestas:
Explaining Inaccurate Predictions of Models through k-Nearest Neighbors. ICAART (2) 2021: 228-236 - Joshua Riley, Radu Calinescu, Colin Paterson, Daniel Kudenko, Alec Banks:
Reinforcement Learning with Quantitative Verification for Assured Multi-Agent Policies. 237-245 - Yassir Houreh, Mahsa Mahdinejad, Enrique Naredo, Douglas Mota Dias, Conor Ryan:
HNAS: Hyper Neural Architecture Search for Image Segmentation. 246-256 - Daniel Thilo Schroeder, Ferdinand Schaal, Petra Filkuková, Konstantin Pogorelov, Johannes Langguth:
WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. 257-266 - Manish Bhattarai, Manel Martínez-Ramón:
A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments. 267-277 - Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang:
Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis. 278-285 - Nikolaos I. Spanoudakis, Konstantinos Kostis, Katerina Mania:
Web-Gorgias-B: Argumentation for All. 286-297 - Halim Djerroud, Arab Ali Chérif:
VICA: A Vicarious Cognitive Architecture Environment Model for Navigation Among Movable Obstacles. 298-305 - Robert Müller, Steffen Illium, Fabian Ritz, Tobias Schröder, Christian Platschek, Jörg Ochs, Claudia Linnhoff-Popien:
Acoustic Leak Detection in Water Networks. 306-313 - Josef Baloun, Pavel Král, Ladislav Lenc:
ChronSeg: Novel Dataset for Segmentation of Handwritten Historical Chronicles. 314-322 - Teeradaj Racharak, Satoshi Tojo:
On Explanation of Propositional Logic-based Argumentation System. 323-332 - May Myo Zin, Teeradaj Racharak, Nguyen Minh Le:
Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation. 333-342 - Hatem Ibn-Khedher, Mohamed Ibn Khedher, Makhlouf Hadji:
Mathematical Programming Approach for Adversarial Attack Modelling. 343-350 - Hajer Essefi, Olfa Ben Ahmed, Christel Bidet-Ildei, Yannick Blandin, Christine Fernandez-Maloigne:
TWIN-GRU: Twin Stream GRU Network for Action Recognition from RGB Video. 351-359 - Gopalakrishnan Krishnaswamy Sivaprakasam, Giora Slutzki:
Secrecy-preserving Reasoning in Acyclic DL-LiteR Knowledge Bases in the Presence of BCQs. 360-372 - Callum O'Donovan, Cinzia Giannetti, Grazia Todeschini:
A Novel Deep Learning Power Quality Disturbance Classification Method using Autoencoders. 373-380 - Cristian David Estupiñán Ojeda, Cayetano Guerra-Artal, Mario Hernández-Tejera:
Informer, an Information Organization Transformer Architecture. 381-389 - Sagar Kora Venu:
An Ensemble-based Approach by Fine-Tuning the Deep Transfer Learning Models to Classify Pneumonia from Chest X-Ray Images. 390-401 - Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Interpretability in Word Sense Disambiguation using Tsetlin Machine. 402-409 - Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. 410-417 - Amira Mimouna, Anouar Ben Khalifa, Ihsen Alouani, Abdelmalik Taleb-Ahmed, Atika Rivenq, Najoua Essoukri Ben Amara:
LSTM-based System for Multiple Obstacle Detection using Ultra-wide Band Radar. 418-425 - Zhen Zhang, Dave Cliff:
Market Impact in Trader-agents: Adding Multi-level Order-flow Imbalance-sensitivity to Automated Trading Systems. 426-436 - Azizkhon Afzalov, Ahmad Lotfi, Benjamin Inden, Mehmet Emin Aydin:
Multiple Pursuers TrailMax Algorithm for Dynamic Environments. 437-443 - Conor Stephens, Chris Exton:
Measuring Inflation within Virtual Economies using Deep Reinforcement Learning. 444-453 - Kamilia Ahmadi, Vicki H. Allan:
Scalable Stochastic Path Planning under Congestion. 454-463 - Thibaud Comelli, Frédéric Pinel, Pascal Bouvry:
Comparing Elementary Cellular Automata Classifications with a Convolutional Neural Network. 467-474 - Shereif Eid:
The Power Index at Infinity: Weighted Voting in Sequential Infinite Anonymous Games. 475-482 - Taiyi Wang, Jiahao Shi:
Solving Maximal Stable Set Problem via Deep Reinforcement Learning. 483-489 - Norihiro Kamide, Noriko Yamamoto:
Inconsistency-tolerant Hierarchical Probabilistic Computation Tree Logic and Its Application to Model Checking. 490-499 - Andreas Humpe, Lars Brehm, Holger Günzel:
Forecasting Air Pollution in Munich: A Comparison of MLR, ANFIS, and SVM. 500-506 - Markus Schröder, Michael Schulze, Christian Jilek, Andreas Dengel:
Bridging the Technology Gap between Industry and Semantic Web: Generating Databases and Server Code from RDF. 507-514 - Stefanie Urchs, Jelena Mitrovic, Michael Granitzer:
Design and Implementation of German Legal Decision Corpora. 515-521 - Oliver Böhme, Tobias Meisen:
Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features. 522-530 - Markus Schröder, Christian Jilek, Michael Schulze, Andreas Dengel:
The Person Index Challenge: Extraction of Persons from Messy, Short Texts. 531-537 - Stefan Jakob, Alexander Jahl, Harun Baraki, Kurt Geihs:
Generating Commonsense Ontologies with Answer Set Programming. 538-545 - Fabio Grassiotto, Paula Dornhofer Paro Costa:
CogToM: A Cognitive Architecture Implementation of the Theory of Mind. 546-553 - Wael Korani, Malek Mouhoub:
Quantum Control for Error Correction using Mother Tee Optimization. 554-561 - Nicolas A. Espinosa Dice, Megan L. Kaye, Hana Ahmed, George D. Montañez:
A Probabilistic Theory of Abductive Reasoning. 562-571 - Henrique Barros Lopes, Alan R. R. de Freitas:
Probabilistic (k, l)-Context-Sensitive Grammar Inference with Gibbs Sampling Applied to Chord Sequences. 572-579 - Renata Garcia Oliveira, Wouter Caarls:
A History-based Framework for Online Continuous Action Ensembles in Deep Reinforcement Learning. 580-588 - Vladimir Samsonov, Marco Kemmerling, Maren Paegert, Daniel Lütticke, Frederick Sauermann, Andreas Gützlaff, Günther Schuh, Tobias Meisen:
Manufacturing Control in Job Shop Environments with Reinforcement Learning. 589-597 - Belhedi Wiem, Kammoun Ahmed, Hireche Chabha:
Incremental Learning for Real-time Partitioning for FPGA Applications. 598-603 - Paul Albert Leroy, Toon Goedemé:
Optimal Distribution of CNN Computations on Edge and Cloud. 604-613 - Andreas Bunte, Frank Richter, Rosanna Diovisalvi:
Why It is Hard to Find AI in SMEs: A Survey from the Practice and How to Promote It. 614-620 - Jaya Pathak, Pratik Shah:
Markov Logic Network for Metaphor Set Expansion. 621-628 - Paul McCarlie, Aaron Hunter:
Using Game AI to Control a Simulated Economy. 629-634 - Mauro Vallati, Thomas Leo McCluskey:
A Quality Framework for Automated Planning Knowledge Models. 635-644 - Vianney Sicard, Sébastien Assié, Laëtitia Dorso, Florian Chocteau, Sébastien Picault:
A Diagnosis Support System for Veterinary Necropsy based on Bayesian Networks. 645-654 - Sergey Turko, Liudmila Burmak, Ilya Malyshev, Stanislav Shtykov, Mikhail Popov, Pavel Filimonov, Alexandr Aspidov, Andrei Shcherbinin:
Smartphone Glass Inspection System. 655-663 - Nicksson C. A. Freitas, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Leopoldo Melo Junior, Matheus G. Cordeiro:
Using Deep Learning for Trajectory Classification. 664-671 - Sandra Dixe, João Leite, Sahar Azadi, Pedro Faria, José Mendes, Jaime C. Fonseca, João Borges:
In-car Damage Dirt and Stain Estimation with RGB Images. 672-679 - Christos T. Rodosthenous, Loizos Michael:
A Crowdsourcing Methodology for Improved Geographic Focus Identification of News-stories. 680-687 - Eliott Jacopin, Naomie Berda, Léa Courteille, William Grison, Lucas Mathieu, Antoine Cornuéjols, Christine Martin:
Using Agents and Unsupervised Learning for Counting Objects in Images with Spatial Organization. 688-697 - Jesus Savage, Stalin Muñoz, Luis Contreras, Mauricio Matamoros, Marco Negrete, Carlos Rivera, Gerald Steinbabuer, Oscar Fuentes, Hiroyuki Okada:
Generating Reactive Robots' Behaviors using Genetic Algorithms. 698-707 - Yuqing Wu, Zhipu Wang:
An Improved Cuckoo Search Algorithm for Multiple Odor Sources Localization. 708-715 - Jirí Jelínek:
Modeling and Simulation of Associative Reasoning. 716-723 - Peter Bellmann, Heinke Hihn, Daniel A. Braun, Friedhelm Schwenker:
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts. 724-731 - Evelyn Conceição Santos Batista, Wouter Caarls, Leonardo A. Forero, Marco Aurélio Pacheco:
Training an Agent to Find and Reach an Object in Different Environments using Visual Reinforcement Learning and Transfer Learning. 732-741 - Soheil Khatibi, Meisam Teimouri, Mahdi Rezaei:
Real-time Active Vision for a Humanoid Soccer Robot using Deep Reinforcement Learning. 742-751 - Juan M. Montoya, Imant Daunhawer, Julia E. Vogt, Marco A. Wiering:
Decoupling State Representation Methods from Reinforcement Learning in Car Racing. 752-759 - Mohamed Sabry, Mostafa El Hayani, Amr Farag, Slim Abdennadher, Amr El Mougy:
Drivable Area Extraction based on Shadow Corrected Images. 760-767 - Kohei Asano, Jinhee Chun:
Post-hoc Explanation using a Mimic Rule for Numerical Data. 768-774 - Nesrine Triki, Mohamed Ksantini, Mohamed Karray:
Traffic Sign Recognition System based on Belief Functions Theory. 775-780 - Sarthak Mishra, Long Ma, Nischal Aryal:
Prediction of Cotton Field on Integrated Environmental Data. 781-786 - Imen Trabelsi, Besma Zeddini, Marc Zolghadri, Maher Barkallah, Mohamed Haddar:
Obsolescence Prediction based on Joint Feature Selection and Machine Learning Techniques. 787-794 - Hien Thi Ha, Ales Horák, Minh Tuan Bui:
Contract Metadata Identification in Czech Scanned Documents. 795-802 - Colin Clausen, Simon Reichhuber, Ingo Thomsen, Sven Tomforde:
Improvements to Increase the Efficiency of the AlphaZero Algorithm: A Case Study in the Game 'Connect 4'. 803-811 - Ingo Glaser, Sebastian Moser, Florian Matthes:
Sentence Boundary Detection in German Legal Documents. 812-821 - Nils Neumann, Sven Wachsmuth:
Recipe Enrichment: Knowledge Required for a Cooking Assistant. 822-829 - Linus Taenzer, Chafic Abu-Antoun, Jasmin Smajic:
Sensorless Coil Temperature Measurements using Neural Networks for Voltage Control. 830-836 - Francesco Visalli, Antonio Patrizio, Massimo Ruffolo:
A Two Step Fine-tuning Approach for Text Recognition on Identity Documents. 837-844 - Zakaria Charouh, Amal Ezzouhri, Mounir Ghogho, Zouhair Guennoun:
Headway and Following Distance Estimation using a Monocular Camera and Deep Learning. 845-850 - Spandan Das, Sujata Ghosh:
Receiving Messages in Their Correct Order: Analyzing Broadcast Protocols in Dynamic Epistemic Logics. 851-858 - Bernardo Leite, Amr Abdalrahman, João Castro, Julieta Frade, João Moreira, Carlos Soares:
Novelty Detection in Physical Activity. 859-865 - Maximilian Meidinger, Matthias Aßenmacher:
A New Benchmark for NLP in Social Sciences: Evaluating the Usefulness of Pre-trained Language Models for Classifying Open-ended Survey Responses. 866-873 - Roman Liessner, Jan Dohmen, Marco A. Wiering:
Explainable Reinforcement Learning for Longitudinal Control. 874-881 - Mateusz Chmurski, Mariusz Zubert:
Novel Radar-based Gesture Recognition System using Optimized CNN-LSTM Deep Neural Network for Low-power Microcomputer Platform. 882-890 - Alexander K. Seewald:
Dancing Guide: Near Realtime Audio Classification of Live Dance Music on Smartphones. 891-898 - Luis N. Martins, Ana Paula Rocha, António J. M. Castro:
A QUBO Model to the Tail Assignment Problem. 899-906 - Martin H. Schaefer, Michal Cáp, David Fiedler, Jirí Vokrínek:
On-demand Robotic Fleet Routing in Capacitated Networks with Time-varying Transportation Demand. 907-915 - Meghana Kshirsagar, Tanishq More, Rutuja Lahoti, Shreya Adgaonkar, Shruti Jain, Conor Ryan, Vivek Kshirsagar:
GREE-COCO: Green Artificial Intelligence Powered Cost Pricing Models for Congestion Control. 916-923 - Eunji Park, Kyung Ho Park, Huy Kang Kim:
Understand Watchdogs: Discover How Game Bot Get Discovered. 924-931 - Farshid Faal, Jia Yuan Yu, Ketra A. Schmitt:
Domain Adaptation Multi-task Deep Neural Network for Mitigating Unintended Bias in Toxic Language Detection. 932-940 - Guantao Zhao, Ziqiu Zhu, Yinan Sun, Amrinder Arora:
Pairwise Cosine Similarity of Emission Probability Matrix as an Indicator of Prediction Accuracy of the Viterbi Algorithm. 941-946 - Kamilia Ahmadi, Vicki H. Allan:
Congestion-Aware Stochastic Path Planning and Its Applications in Real World Navigation. 947-956 - Daiki Koizumi:
On the Prediction of a Nonstationary Bernoulli Distribution based on Bayes Decision Theory. 957-965 - Nicolay Vasilyev, Vladimir Gromyko, Stanislav Anosov:
Non-alternative Artificial and Natural Intelligences Partnership for Put up Shoot in and Return to Rational Co-evolution with Noosphere. 966-973 - Sven Löffler, Ilja Becker, Petra Hofstedt:
ML-based Decision Support for CSP Modelling with Regular Membership and Table Constraints. 974-981 - Alexander Sakharov:
A Best-first Backward-chaining Search Strategy based on Learned Predicate Representations. 982-989 - Justin Bui, Robert J. Marks II:
Autoencoder Watchdog Outlier Detection for Classifiers. 990-996 - Stefan Jakob, Harun Baraki, Alexander Jahl, Eric Douglas Nyakam Chiadjeu, Yasin Alhamwy, Kurt Geihs:
Adaptive Semantic Routing in Dynamic Environments. 997-1004 - Tuo Deng, Astrid Manders, Arjo J. Segers, Yanqin Bai, Hai-Xiang Lin:
Temporal Transfer Learning for Ozone Prediction based on CNN-LSTM Model. 1005-1012 - Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski:
Introducing the Hidden Neural Markov Chain Framework. 1013-1020