Search results for "combining"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
61	Alvin R. Lebeck, Gurindar S. Sohi	Request Combining in Multiprocessors with Arbitrary Interconnection Networks.	IEEE Trans. Parallel Distributed Syst.	1994	DBLP DOI BibTeX RDF	arbitrary interconnection networks, shared memory location, combining set, processor elements, simulationresults, parallel architectures, virtual machines, multiprocessors, message passing, multiprocessor interconnection networks, shared memory systems, design space, hot spots, message routing, parallel access, classification scheme, combining strategies
58	Chandan Tilak Bhunia	Error Forecasting Schemes of Error Correction at Receiver.	ITNG	2008	DBLP DOI BibTeX RDF	Multiple Packet Combining, Packet Reversed Packet Combining, Error forecasting, Throughput, Packet Combining
45	Gyungho Lee, Byung-Chang Kang, Richard Y. Kain	Analysis of Finite Buffered Multistage Combining Networks.	IEEE Trans. Parallel Distributed Syst.	1995	DBLP DOI BibTeX RDF	hot-spot traffic, performance analysis, multistage interconnection network, Combining, queuing delay
42	Eikoh Chida, Yosuke Kasai, Masahiro Mambo, Hiroki Shizuya	Spending Offline Divisible Coins with Combining Capability.	INDOCRYPT	2002	DBLP DOI BibTeX RDF	Offline divisible coins, Combining capability, Combined coin, Overspending prevention, Anonymity, Efficiency
39	Shoushan Li, Chengqing Zong	Classifier Combining Rules Under Independence Assumptions.	MCS	2007	DBLP DOI BibTeX RDF	Combining Rules, Pattern Classification, Multiple Classifier System
37	Allen Miu, Hari Balakrishnan, Can Emre Koksal	Multi-radio diversity in wireless networks.	Wirel. Networks	2007	DBLP DOI BibTeX RDF	Frame combining, Performance, Wireless networks, Wireless LAN, Path diversity, Bit error, Packet combining
37	Amine Laourine, Alex Stephenne, Sofiène Affes	Capacity of log-normal fading channels.	IWCMC	2007	DBLP DOI BibTeX RDF	equal gain combining, log normal distributions, maximum ratio combining, channel capacity
37	Allen K. L. Miu, Hari Balakrishnan, Can Emre Koksal	Improving loss resilience with multi-radio diversity in wireless networks.	MobiCom	2005	DBLP DOI BibTeX RDF	frame combining, performance, wireless networks, wireless LAN, path diversity, bit-error, packet combining
36	Houda Chafnaji, Halim Yanikomeroglu, Tarik Ait-Idir, Samir Saoudi	Turbo packet combining techniques for multi-relay-assisted systems over multi-antenna broadband channels.	IWCMC	2010	DBLP DOI BibTeX RDF	multiple-antenna systems, turbo equalization, cooperative relaying, packet combining
36	Motohiro Kawahito, Hideaki Komatsu, Toshio Nakatani	Instruction combining for coalescing memory accesses using global code motion.	Memory System Performance	2004	DBLP DOI BibTeX RDF	instruction combining, memory access coalescing, Java, JIT compilers, IA-64, 64-bit architectures
34	Andreas Martin 0001, Knut Hinkelmann	AAAI-MAKE 2021: Combining Machine Learning and Knowledge Engineering.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
34	Carlo Mehli, Knut Hinkelmann, Stephan Jüngling	Decision Support combining Machine Learning, Knowledge Representation and Case-Based Reasoning.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
34	Achim Reiz, Mohamad Albadawi, Kurt Sandkuhl, Matthias Vahl, Dennis Sidin	Towards More Robust Fashion Recognition by Combining of Deep-Learning-Based Detection with Semantic Reasoning.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
34	Sheikh Rabiul Islam, William Eberle	Implications of Combining Domain Knowledge in Explainable Artificial Intelligence.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
34	Andreas Martin 0001, Knut Hinkelmann	Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I: Spring Symposium.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
34	Rainer Telesko, Stephan Jüngling, Phillip Gachnang	Combining Symbolic and Sub-symbolic AI in the Context of Education and Learning.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
34	Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos, Antonis A. Argyros, Nick Bassiliades, Dimitris Plexousakis	A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
34	Knut Hinkelmann, Monika Blaser, Oliver Faust, Alexander Horst, Carlo Mehli	Virtual Bartender: A Dialog System Combining Data-Driven and Knowledge-Based Recommendation.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2019	DBLP BibTeX RDF
34	Knut Hinkelmann, Sajjad Ahmed, Flavio Corradini	Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks - A Survey.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2019	DBLP BibTeX RDF
34	Alejandro Sobrino 0001	Imperfect Causality: Combining Experimentation and Theory.	Combining Experimentation and Theory	2012	DBLP DOI BibTeX RDF
34	Frank van der Linden 0001	08142 Summary - Combining the Advantages of Product Lines and Open Source.	Combining the Advantages of Product Lines and Open Source	2008	DBLP BibTeX RDF
34	Jesús Bermejo Muñoz, Björn Lundell, Frank van der Linden 0001	08142 Abstracts Collection - Combining the Advantages of Product Lines and Open Source.	Combining the Advantages of Product Lines and Open Source	2008	DBLP BibTeX RDF
33	Qi Li 0020, Qing Wang 0001, Ye Yang, Mingshu Li 0001	Reducing biases in individual software effort estimations: a combining approach.	ESEM	2008	DBLP DOI BibTeX RDF	olc, combining, software effort estimation
33	Henri Dubois-Ferrière, Deborah Estrin, Martin Vetterli	Packet combining in sensor networks.	SenSys	2005	DBLP DOI BibTeX RDF	sensor networks, wireless networks, error correction, cooperative diversity, channel coding, bit error, packet combining
33	Li-Der Jeng, Shun-Sheng Lee, Chung-Hsuan Wang, Fang-Biau Ueng	Low-density parity-check codes for FFH/BFSK systems with partial-band noise jamming.	IWCMC	2006	DBLP DOI BibTeX RDF	FFH/BFSK, diversity combining, partial-band noise jamming, LDPC
31	Annamalai Annamalai, Chintha Tellambura	A Moment-Generating Function (MGF) Derivative-Based Unified Analysis of Incoherent Diversity Reception of M-ary Orthogonal Signals over Independent and Correlated Fading Channels.	Int. J. Wirel. Inf. Networks	2003	DBLP DOI BibTeX RDF	diversity methods, MFSK, equal-gain combining, postdetection diversity combining, Wireless communications
31	Pen-Chung Yew, Nian-Feng Tzeng, Duncan H. Lawrie	Distributing Hot-Spot Addressing in Large-Scale Multiprocessors.	IEEE Trans. Computers	1987	DBLP DOI BibTeX RDF	hot-spot memory, software combining tree, synchronization, memory bandwidth, Combining networks, memory contention
30	Hong-Chuan Yang, Nesrine Belhaj, Mohamed-Slim Alouini	Performance analysis of joint adaptive modulation and diversity combining over fading channels.	IWCMC	2006	DBLP DOI BibTeX RDF	diversity techniques, selection combining, performance analysis, adaptive modulation
30	Tao Li 0001, Mitsunori Ogihara, Sheng Ma	On combining multiple clusterings.	CIKM	2004	DBLP DOI BibTeX RDF	multiple clusterings, categorical, combining
30	Qian Wang 0002, Kui Ren 0001, Yanchao Zhang, Bo Zhu 0001	Opportunistic Cooperation with Receiver-Based Ratio Combining Strategy.	WASA	2008	DBLP DOI BibTeX RDF
28	Andreas Martin 0001, Knut Hinkelmann, Hans-Georg Fill, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen (eds.)	Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Deepak Nagaraj, Rhett Dobinson, Dirk Werth	Towards Kinematically Constrained Real Time Human Pose Estimation using Sparse IMUs.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Maaike H. T. de Boer, Fieke Hillerström	Hybrid AI using Graph Neural Networks in Scene Classification.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Hossein Rahnama, Marjan Alirezaie, Alex Pentland	A Neural-Symbolic Approach for User Mental Modeling: A Step Towards Building Exchangeable Identities.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Philipp Behnen, Felix Kruse, Jorge Marx Gómez	Enhancement of Record Linkage by Using Attributes containing Natural Language Text.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	David Leake, Xiaomeng Ye, David J. Crandall	Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Sunday C. Ngwobia, Saeedeh Shekarpour, Faisal Alshargi	Capturing Knowledge of Emerging Entities from Extended Search Snippets.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Raymond J. Mooney, Jude W. Shavlik	A Recap of Early Work on Theory and Knowledge Refinement.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Kaushik Roy 0009, Usha Lokala, Vedant Khandelwal, Amit P. Sheth	"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Jan Meiswinkel, Patrick Levi, Rainer Hoch	The Significance of Computational Performance for Enterprise AI in Question-Answering.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Sutapa Mondal, Sumit Bhatia, Raghava Mutharaju	EmEL++: Embeddings for EL++ Description Logic.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Guusje Boomgaard, Selene Baez Santamaría, Ilaria Tiddi, Robert-Jan Sips, Zoltán Szlávik	Learning Profile-Based Recommendations for Medical Search Auto-Complete.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Benedikt Wagner, Artur S. d'Avila Garcez	Neural-Symbolic Integration for Fairness in AI.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Thomas Schmid 0003	Batch-like Online Learning for More Robust Hybrid Artificial Intelligence: Deconstruction as a Machine Learning Process.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	David Morandi, Stephan Jüngling	Anomaly Detection in Railway Infrastructure.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Mohita Chaudhary, Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray	Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Dorothea Tsatsou, Konstantinos Karageorgos, Anastasios Dimou, Javier Carbó, José M. Molina López, Petros Daras	Towards Unsupervised Knowledge Extraction.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Miriam Herold, Mirjam Minor	Ontology-based Transfer Learning in the Airport and Warehouse Logistics Domains.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Sophie Neutel, Maaike H. T. de Boer	Towards Automatic Ontology Alignment using BERT.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Amit Bhatia 0001, Alessandro Pinto	Automated Construction of Knowledge-Bases for Safety Critical Applications: Challenges and Opportunities.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Agnese Chiatti, Enrico Motta, Enrico Daga, Gianluca Bardaro	Fit to Measure: Reasoning About Sizes for Robust Object Recognition.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Meghamala Sinha, Stephen A. Ramsey	Using a General Prior Knowledge Graph to Improve Data-Driven Causal Network Learning.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Gertjan J. Burghouts, Fieke Hillerström	ZERO - Detect objects without training examples by knowing their parts.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Shaban Shabani, Zarina Charlesworth, Maria Sokhn, Heiko Schuldt	SAMS: Human-in-the-loop Approach to Combat the Sharing of Digital Misinformation.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Joachim de Greeff, Maaike H. T. de Boer, Fieke H. J. Hillerström, Freek Bomhof, Wiard Jorritsma, Mark A. Neerincx	The FATE System: FAir, Transparent and Explainable Decision Making.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Edmund Dervakos, Giorgos Filandrianos, Konstantinos Thomas, Alexios Mandalios, Chrysoula Zerva, Giorgos Stamou	Semantic Enrichment of Pretrained Embedding Output for Unsupervised IR.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	William Broniec, Sungeun An, Spencer Rugaber, Ashok K. Goel 0001	Guiding Parameter Estimation of Agent-Based Modeling Through Knowledge-Based Function Approximation.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Arturo Castellanos, Alfred Castillo, Monica Chiarini Tremblay, Roman Lukyanenko, Jeffrey Parsons, Veda C. Storey	Improving Machine Learning Performance Using Conceptual Modeling.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Monireh Ebrahimi, Md. Kamruzzaman Sarker, Federico Bianchi 0001, Ning Xie 0009, Aaron Eberhart, Derek Doran, HyeongSik Kim, Pascal Hitzler	Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Charuta Pande, Hans Friedrich Witschel, Andreas Martin 0001, Devid Montecchiari	Hybrid Conversational AI for Intelligent Tutoring Systems.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Mahin Ramezani, Guru Ilangovan, Hye-Chung Kum	Evaluation of Machine Learning Algorithms in a Human-Computer Hybrid Record Linkage System.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Arzam Kotriwala, Benjamin Klöpper, Marcel Dix, Gayathri Gopalakrishnan, Dawid Ziobro, Andreas Potschka	XAI for Operations in the Process Industry - Applications, Theses, and Research Directions.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	René Keßler, Christian Melching, Ralph Goehrs, Jorge Marx Gómez	Using Camera-Drones and Artificial Intelligence to Automate Warehouse Inventory.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Margaret Warren, David A. Shamma, Patrick J. Hayes	Knowledge Engineering with Image Data in Real-World Settings.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Kaushik Roy 0009, Qi Zhang 0038, Manas Gaur, Amit P. Sheth	Knowledge Infused Policy Gradients for Adaptive Pandemic Control.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Ole-Edvard Ørebæk, Marius Geitle	Exploring the Hyperparameters of XGBoost Through 3D Visualizations.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Jip J. van Stijn, Mark A. Neerincx, Annette ten Teije, Steven Vethman	Team Design Patterns for Moral Decisions in Hybrid Intelligent Systems: A Case Study of Bias Mitigation.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Johannes Sahlin, Håkan Sundell, Håkan Alm, Jesper Holgersson	Evaluating Artificial Short Message Service Campaigns Through Rule Based Multi-instance Multi-label Classification.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2021	DBLP BibTeX RDF
28	Andreas Martin 0001, Knut Hinkelmann, Hans-Georg Fill, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen (eds.)	Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, AAAI-MAKE 2020, Palo Alto, CA, USA, March 23-25, 2020, Volume I	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Yuyao Wang, Masayoshi Mase, Masashi Egi	Attribution-based Salience Method towards Interpretable Reinforcement Learning.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Edgar Robles, Fatima Zaidouni, Aliki Mavromoustaki, Payam Refael	Threshold Optimization in Multiple Binary Classifiers for Extreme Rare Events using Predicted Positive Data.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Summaya Mumtaz, Martin Giese	Frequency-Based vs. Knowledge-Based Similarity Measures for Categorical Data.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala	Common-Knowledge Concept Recognition for SEVA.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Ryan Regier, Owen Price, Alex Hadi, Zachary Faltersack, Andrew Nuxoll	ARO: A Memory-Based Approach to Environments with Perceptual Aliasing.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Soumya Suvra Ghosal, Indranil Sarkar	Novel Approach to Music Genre Classification using Clustering Augmented Learning Method (CALM).	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Stephan Jüngling, Martin Peraic, Andreas Martin 0001	Towards AI-based Solutions in the System Development Lifecycle.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Ugur Kursuncu, Manas Gaur, Amit P. Sheth	Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers	Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Srishti Tomar, Ryan Compton 0002	Vec2Struc: A Method Towards Explainable Structural-Based Node Embeddings.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Yoshihiro Osakabe, Akinori Asahara, Hidekazu Morita	Hitachi Materials Informatics Analytics Platform Assisting Rapid Development.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Jinendra K. Gugaliya, Rahul Kumar Vij, Srini Ramaswamy, Lakshwin Shreesha M. K	Multi-PCA Driven Approach for Fault Detection and Root Cause Analysis of Process Equipment.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Yo Ehara	Supervised Visualization of Vocabulary Knowledge towards Explainable Support of Second Language Learners.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich	PODNet: A Neural Network for Discovery of Plannable Options.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Miao Chen, Fang Du, Ganhui Lan, Victor S. Lobanov	Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol Analysis.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Yuval Zak, Yisrael Parmet, Tal Oron-Gilad	GiCoMAF: An Artificial Intelligence Algorithm to Utilize Maps for Operators of Unmanned Aerial Vehicles.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Ole Meyer, Marc Hesenius, Volker Gruhn	Using Concepts to Understand Intelligent Agents.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Akinori Asahara, Hidekazu Morita, Kanta Ono, Masao Yano, Tetsuya Shoji, Kotaro Saito, Chiharu Mitsumata	EM-algorithm Enpowers Material Science: Application of Inverse Estimation for Small Angle Scattering.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Pavel Myznikov	Case-Based System of User Interface Reverse Engineering.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Chia Zheng Lin, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski	A Study in Practical Solutions to Sarcasm Detection with Machine Learning and Knowledge Engineering Techniques.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Martino Mensio, Emanuele Bastianelli, Ilaria Tiddi, Giuseppe Rizzo 0002	Mitigating Bias in Deep Nets with Knowledge Bases: the Case of Natural Language Understanding for Robots.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Hans-Georg Fill, Felix Härer	Supporting Trust in Hybrid Intelligence Systems Using Blockchains.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Thomas Schmid 0003	Using Learning Algorithms to Create, Exploit and Maintain Knowledge Bases: Principles of Constructivist Machine Learning.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Mauricio Fadel Argerich, Jonathan Fürst, Bin Cheng 0003	Tutor4RL: Guiding Reinforcement Learning with External Knowledge.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Changlong Sun, Yating Zhang, Qiong Zhang, Xiaozhong Liu	Legal Artificial Intelligence - Have You Lost a Piece from Jigsaw Puzzle?	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth	An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Sterling Somers, Alessandro Oltramari, Christian Lebiere	Cognitive Twin: A Cognitive Approach to Personalized Assistants.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Aaron Eberhart, Monireh Ebrahimi, Lu Zhou 0005, Cogan Shimizu, Pascal Hitzler	Completion Reasoning Emulation for the Description Logic EL+.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)	2020	DBLP BibTeX RDF
28	Andreas Martin 0001, Knut Hinkelmann, Aurona Gerber, Doug Lenat, Frank van Harmelen, Peter Clark (eds.)	Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, Palo Alto, California, USA, March 25-27, 2019., Stanford University, Palo Alto, California, USA, March 25-27, 2019.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2019	DBLP BibTeX RDF
28	Federico Bianchi 0001, Pascal Hitzler	On the Capabilities of Logic Tensor Networks for Deductive Reasoning.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2019	DBLP BibTeX RDF
28	Nihal V. Nayak, Pratheek Mahishi, Sagar Rao	DEXTER - Data EXTraction & Entity Recognition for Low Resource Datasets.	AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering	2019	DBLP BibTeX RDF