{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/decision-making/papers/96","list_of":"/task/decision-making","task":"Decision Making","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":96,"pages_in_order":124,"rows_per_page":100,"rows":[9501,9600],"of":12311,"counts":{"archive_papers_tagged":12311,"with_a_code_link":2946,"where_syntology_ran_a_sample":678,"not_listed_spam_title":0,"listed":12311,"listed_where_code_ran":678,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":560,"every_run_a_failure_of_syntologys_instrument":118,"listed_with_a_run_with_no_instrument_failure":560,"listed_every_run_a_failure_of_syntologys_instrument":118,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/decision-making","prev":"/task/decision-making/papers/95","next":"/task/decision-making/papers/97","papers":[{"url":null,"slug":"a-modularized-and-scalable-multi-agent","title":"MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management","date":"2021-02-06","arxiv_id":"2102.03502","repositories_listed":0,"syntology":null},{"url":null,"slug":"corner-case-generation-and-analysis-for","title":"Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles","date":"2021-02-06","arxiv_id":"2102.03483","repositories_listed":0,"syntology":null},{"url":null,"slug":"achieving-explainability-for-plant-disease","title":"Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders","date":"2021-02-05","arxiv_id":"2102.03082","repositories_listed":0,"syntology":null},{"url":null,"slug":"confidence-budget-matching-for-sequential","title":"Confidence-Budget Matching for Sequential Budgeted Learning","date":"2021-02-05","arxiv_id":"2102.03400","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-quantification-and-exploration","title":"Uncertainty quantification and exploration-exploitation trade-off in humans","date":"2021-02-05","arxiv_id":"2102.07647","repositories_listed":0,"syntology":null},{"url":null,"slug":"feedback-in-imitation-learning-confusion-on","title":"Feedback in Imitation Learning: The Three Regimes of Covariate Shift","date":"2021-02-04","arxiv_id":"2102.02872","repositories_listed":0,"syntology":null},{"url":null,"slug":"temporal-cascade-and-structural-modelling-of","title":"Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction","date":"2021-02-04","arxiv_id":"2102.02586","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-generation-using-pass-phrase-dependent","title":"Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification","date":"2021-02-03","arxiv_id":"2102.02074","repositories_listed":0,"syntology":null},{"url":null,"slug":"focusing-knowledge-based-graph-argument","title":"Focusing Knowledge-based Graph Argument Mining via Topic Modeling","date":"2021-02-03","arxiv_id":"2102.02086","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-deep-learning-for-decision-making","title":"Generative deep learning for decision making in gas networks","date":"2021-02-03","arxiv_id":"2102.02125","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-recursive-belief-states-in-multi-agent","title":"Neural Recursive Belief States in Multi-Agent Reinforcement Learning","date":"2021-02-03","arxiv_id":"2102.02274","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-ethical-implications-of-shared-medical","title":"The Ethical Implications of Shared Medical Decision Making without Providing Adequate Computational Support to the Care Provider and to the Patient","date":"2021-02-03","arxiv_id":"2102.01811","repositories_listed":0,"syntology":null},{"url":null,"slug":"unbox-the-black-box-for-the-medical","title":"Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond","date":"2021-02-03","arxiv_id":"2102.01998","repositories_listed":0,"syntology":null},{"url":null,"slug":"you-cannot-do-that-ben-stokes-dynamically","title":"You Cannot Do That Ben Stokes: Dynamically Predicting Shot Type in Cricket Using a Personalized Deep Neural Network","date":"2021-02-03","arxiv_id":"2102.01952","repositories_listed":0,"syntology":null},{"url":null,"slug":"autodidactic-neurosurgeon-collaborative-deep","title":"Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning","date":"2021-02-02","arxiv_id":"2102.02638","repositories_listed":0,"syntology":null},{"url":null,"slug":"big-data-analytics-applying-the-fusion","title":"Big Data Analytics Applying the Fusion Approach of Multicriteria Decision Making with Deep Learning Algorithms","date":"2021-02-02","arxiv_id":"2102.02637","repositories_listed":0,"syntology":null},{"url":null,"slug":"pick-the-right-edge-device-towards-power-and","title":"Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs","date":"2021-02-02","arxiv_id":"2102.02645","repositories_listed":0,"syntology":null},{"url":null,"slug":"counting-protests-in-news-articles-a-dataset","title":"Counting Protests in News Articles: A Dataset and Semi-Automated Data Collection Pipeline","date":"2021-02-01","arxiv_id":"2102.00917","repositories_listed":0,"syntology":null},{"url":null,"slug":"diagnosis-of-acute-poisoning-using","title":"Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence","date":"2021-02-01","arxiv_id":"2102.01116","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-perceptions-on-moral-responsibility-of","title":"Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making","date":"2021-02-01","arxiv_id":"2102.00625","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-method-for-the-coupling-relations-of","title":"Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events","date":"2021-02-01","arxiv_id":"2102.00615","repositories_listed":0,"syntology":null},{"url":null,"slug":"monotone-additive-statistics","title":"Monotone additive statistics","date":"2021-02-01","arxiv_id":"2102.00618","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-aware-and-multi-objective-decision","title":"Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search","date":"2021-02-01","arxiv_id":"2102.00966","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-rates-for-the-regret-of-offline","title":"Fast Rates for the Regret of Offline Reinforcement Learning","date":"2021-01-31","arxiv_id":"2102.00479","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-human-decision-making-by","title":"Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning","date":"2021-01-31","arxiv_id":"2102.00521","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-interpretable-deep-state-space-model","title":"Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting","date":"2021-01-31","arxiv_id":"2102.00397","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-reinforcement-learning-aided-monte-carlo","title":"Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection","date":"2021-01-30","arxiv_id":"2102.00178","repositories_listed":0,"syntology":null},{"url":null,"slug":"fairness-through-optimization","title":"Fairness through Social Welfare Optimization","date":"2021-01-30","arxiv_id":"2102.00311","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-traditional-assumptions-in-fair","title":"Beyond traditional assumptions in fair machine learning","date":"2021-01-29","arxiv_id":"2101.12476","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-machine-learning-help-in-solving-cargo","title":"Reinforcement Learning for Freight Booking Control Problems","date":"2021-01-29","arxiv_id":"2102.00092","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-behavioral-economics-of-intrapersonal","title":"The Behavioral Economics of Intrapersonal Conflict: A Critical Assessment","date":"2021-01-29","arxiv_id":"2101.12526","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-taxonomy-of-explainable-bayesian-networks","title":"A Taxonomy of Explainable Bayesian Networks","date":"2021-01-28","arxiv_id":"2101.11844","repositories_listed":0,"syntology":null},{"url":null,"slug":"ahmose-a-knowledge-based-visual-support","title":"AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models","date":"2021-01-28","arxiv_id":"2101.11970","repositories_listed":0,"syntology":null},{"url":null,"slug":"coordiq-coordinated-q-learning-for-electric","title":"CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation","date":"2021-01-28","arxiv_id":"2102.00847","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-discriminatory-risk-through-data","title":"Detecting discriminatory risk through data annotation based on Bayesian inferences","date":"2021-01-27","arxiv_id":"2101.11358","repositories_listed":0,"syntology":null},{"url":null,"slug":"inheritance-guided-hierarchical-assignment","title":"Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis","date":"2021-01-27","arxiv_id":"2101.11374","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-interpretability-of-deep-learning","title":"On the Interpretability of Deep Learning Based Models for Knowledge Tracing","date":"2021-01-27","arxiv_id":"2101.11335","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-for-decision-making","title":"Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges","date":"2021-01-27","arxiv_id":"2102.01168","repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-guided-waves-based-shm-via","title":"Statistical guided-waves-based SHM via stochastic non-parametric time series models","date":"2021-01-27","arxiv_id":"2101.11208","repositories_listed":0,"syntology":null},{"url":null,"slug":"reviewable-automated-decision-making-a","title":"Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems","date":"2021-01-26","arxiv_id":"2102.04201","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-minerl-2020-competition-on-sample","title":"The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors","date":"2021-01-26","arxiv_id":"2101.11071","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-fusion-method-for-multi-valued-data","title":"A fusion method for multi-valued data","date":"2021-01-25","arxiv_id":"2101.10115","repositories_listed":0,"syntology":null},{"url":null,"slug":"cognitive-perspectives-on-context-based","title":"Cognitive Perspectives on Context-based Decisions and Explanations","date":"2021-01-25","arxiv_id":"2101.10179","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-confidence-off-policy-or-counterfactual","title":"High-Confidence Off-Policy (or Counterfactual) Variance Estimation","date":"2021-01-25","arxiv_id":"2101.09847","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-n-flying-a-learning-based","title":"Learning-'N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme","date":"2021-01-25","arxiv_id":"2101.10404","repositories_listed":0,"syntology":null},{"url":null,"slug":"episodic-memory-governs-choices-an-rnn-based","title":"Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task","date":"2021-01-24","arxiv_id":"2103.03679","repositories_listed":0,"syntology":null},{"url":null,"slug":"gst-group-sparse-training-for-accelerating","title":"GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning","date":"2021-01-24","arxiv_id":"2101.09650","repositories_listed":0,"syntology":null},{"url":null,"slug":"symbiotic-system-design-for-safe-and","title":"Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms","date":"2021-01-23","arxiv_id":"2101.09491","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-chest-graph-for-disease-diagnosis-with","title":"Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning","date":"2021-01-22","arxiv_id":"2101.08992","repositories_listed":0,"syntology":null},{"url":null,"slug":"where-does-the-stimulus-go-deep-generative","title":"Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits","date":"2021-01-22","arxiv_id":"2101.09230","repositories_listed":0,"syntology":null},{"url":null,"slug":"filling-the-gap-between-grace-and-grace-fo","title":"Improving prediction of the terrestrial water storage anomalies during the GRACE and GRACE-FO gap with Bayesian convolutional neural networks","date":"2021-01-21","arxiv_id":"2101.09361","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-can-i-choose-an-explainer-an-application","title":"How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations","date":"2021-01-21","arxiv_id":"2101.08758","repositories_listed":0,"syntology":null},{"url":null,"slug":"collision-free-flocking-with-a-dynamic-squad","title":"Flocking and Collision Avoidance for a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning","date":"2021-01-20","arxiv_id":"2101.08074","repositories_listed":0,"syntology":null},{"url":null,"slug":"near-optimal-regret-bounds-for-contextual","title":"Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions","date":"2021-01-20","arxiv_id":"2101.07957","repositories_listed":0,"syntology":null},{"url":null,"slug":"probabilistic-solar-power-forecasting-long","title":"Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches","date":"2021-01-20","arxiv_id":"2101.08236","repositories_listed":0,"syntology":null},{"url":"/paper/motor-imagery-based-brain-computer-interface","slug":"motor-imagery-based-brain-computer-interface","title":"Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions","date":"2021-01-18","arxiv_id":"2101.06968","repositories_listed":0,"syntology":null},{"url":null,"slug":"transferring-model-structure-in-bayesian","title":"Transferring model structure in Bayesian transfer learning for Gaussian process regression","date":"2021-01-18","arxiv_id":"2101.06884","repositories_listed":0,"syntology":null},{"url":null,"slug":"artificial-intelligence-for-it-operations","title":"Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper","date":"2021-01-15","arxiv_id":"2101.06054","repositories_listed":0,"syntology":null},{"url":null,"slug":"deciding-what-to-learn-a-rate-distortion","title":"Deciding What to Learn: A Rate-Distortion Approach","date":"2021-01-15","arxiv_id":"2101.06197","repositories_listed":0,"syntology":null},{"url":null,"slug":"dtcontrol-2-0-explainable-strategy","title":"dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts","date":"2021-01-15","arxiv_id":"2101.07202","repositories_listed":0,"syntology":null},{"url":null,"slug":"ec-sagins-edge-computing-enhanced-space-air","title":"EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles","date":"2021-01-15","arxiv_id":"2101.06056","repositories_listed":0,"syntology":null},{"url":null,"slug":"reviving-purpose-limitation-and-data","title":"Reviving Purpose Limitation and Data Minimisation in Data-Driven Systems","date":"2021-01-15","arxiv_id":"2101.06203","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-subjective-model-of-human-decision-making","title":"A Subjective Model of Human Decision Making Based on Quantum Decision Theory","date":"2021-01-14","arxiv_id":"2101.05851","repositories_listed":0,"syntology":null},{"url":null,"slug":"algorithmic-monoculture-and-social-welfare","title":"Algorithmic Monoculture and Social Welfare","date":"2021-01-14","arxiv_id":"2101.05853","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-neural-networks-for-weak-solution-of","title":"Bayesian neural networks for weak solution of PDEs with uncertainty quantification","date":"2021-01-13","arxiv_id":"2101.04879","repositories_listed":0,"syntology":null},{"url":null,"slug":"preferential-mixture-of-experts-interpretable","title":"Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible","date":"2021-01-13","arxiv_id":"2101.05360","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-the-effect-of-out-of","title":"Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making","date":"2021-01-13","arxiv_id":"2101.05303","repositories_listed":0,"syntology":null},{"url":null,"slug":"embedded-computer-vision-system-applied-to-a","title":"Embedded Computer Vision System Applied to a Four-Legged Line Follower Robot","date":"2021-01-12","arxiv_id":"2101.04804","repositories_listed":0,"syntology":null},{"url":null,"slug":"expanding-explainability-towards-social","title":"Expanding Explainability: Towards Social Transparency in AI systems","date":"2021-01-12","arxiv_id":"2101.04719","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-aggregation-of-cardinal-and-ordinal","title":"Joint aggregation of cardinal and ordinal evaluations with an application to a student paper competition","date":"2021-01-12","arxiv_id":"2101.04765","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantum-cognitively-motivated-decision-fusion","title":"Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis","date":"2021-01-12","arxiv_id":"2101.04406","repositories_listed":0,"syntology":null},{"url":null,"slug":"reliable-fleet-analytics-for-edge-iot","title":"Reliable Fleet Analytics for Edge IoT Solutions","date":"2021-01-12","arxiv_id":"2101.04414","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-ordering-learning-in-multivariate","title":"Dynamic Ordering Learning in Multivariate Forecasting","date":"2021-01-11","arxiv_id":"2101.04164","repositories_listed":0,"syntology":null},{"url":null,"slug":"explaining-the-black-box-smoothly-a","title":"Explaining the Black-box Smoothly- A Counterfactual Approach","date":"2021-01-11","arxiv_id":"2101.04230","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-under-model-risk-for","title":"Biomanufacturing Harvest Optimization with Small Data","date":"2021-01-11","arxiv_id":"2101.03735","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-face-understanding-recognizing","title":"Automatic Face Understanding: Recognizing Families in Photos","date":"2021-01-10","arxiv_id":"2102.08941","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-a-joint-bayesian-generative-model","title":"Coupling a generative model with a discriminative learning framework for speaker verification","date":"2021-01-09","arxiv_id":"2101.03329","repositories_listed":0,"syntology":null},{"url":null,"slug":"interpretable-multiple-treatment-revenue","title":"Interpretable Multiple Treatment Revenue Uplift Modeling","date":"2021-01-09","arxiv_id":"2101.03336","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-tale-of-fairness-revisited-beyond","title":"A Tale of Fairness Revisited: Beyond Adversarial Learning for Deep Neural Network Fairness","date":"2021-01-08","arxiv_id":"2101.02831","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-non-deterministic-uncertainty","title":"Improving non-deterministic uncertainty modelling in Industry 4.0 scheduling","date":"2021-01-08","arxiv_id":"2101.05677","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-robust-and-trustworthy-machine","title":"Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective","date":"2021-01-08","arxiv_id":"2101.03042","repositories_listed":0,"syntology":null},{"url":null,"slug":"associated-spatio-temporal-capsule-network","title":"Associated Spatio-Temporal Capsule Network for Gait Recognition","date":"2021-01-07","arxiv_id":"2101.02458","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-diagnosis-of-intestinal-parasites-a","title":"Automated Diagnosis of Intestinal Parasites: A new hybrid approach and its benefits","date":"2021-01-07","arxiv_id":"2101.06310","repositories_listed":0,"syntology":null},{"url":null,"slug":"bdnnsurv-bayesian-deep-neural-networks-for","title":"BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values","date":"2021-01-07","arxiv_id":"2101.03170","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforced-imitative-graph-representation","title":"Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective","date":"2021-01-07","arxiv_id":"2101.02634","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-illness-for-a-sustainable-dairy","title":"Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows","date":"2021-01-06","arxiv_id":"2101.02188","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-redox-responsive-hyaluronic-acid-based","title":"A redox-responsive hyaluronic acid-based hydrogel for chronic wound management","date":"2021-01-05","arxiv_id":"2101.01638","repositories_listed":0,"syntology":null},{"url":null,"slug":"explainable-ai-and-adoption-of-algorithmic","title":"Explainable AI and Adoption of Financial Algorithmic Advisors: an Experimental Study","date":"2021-01-05","arxiv_id":"2101.02555","repositories_listed":0,"syntology":null},{"url":null,"slug":"explainable-ai-for-robot-failures-generating","title":"Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery","date":"2021-01-05","arxiv_id":"2101.01625","repositories_listed":0,"syntology":null},{"url":null,"slug":"to-do-or-not-to-do-cost-sensitive-causal","title":"To do or not to do: cost-sensitive causal decision-making","date":"2021-01-05","arxiv_id":"2101.01407","repositories_listed":0,"syntology":null},{"url":null,"slug":"brilliant-ai-doctor-in-rural-china-tensions","title":"\"Brilliant AI Doctor\" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment","date":"2021-01-04","arxiv_id":"2101.01524","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-machine-learning-systems-challenges","title":"Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead","date":"2021-01-04","arxiv_id":"2101.02559","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-maximum-entropy-behavior-cloning","title":"Robust Maximum Entropy Behavior Cloning","date":"2021-01-04","arxiv_id":"2101.01251","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-optimization-for-vaccine-and","title":"Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic","date":"2021-01-04","arxiv_id":"2101.01204","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-for-flexibility-design-1","title":"Reinforcement Learning for Flexibility Design Problems","date":"2021-01-02","arxiv_id":"2101.00355","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-covid-19-diagnosis-prognosis-with","title":"Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-trivial-counterfactual-generations","title":"Beyond Trivial Counterfactual Generations with Diverse Valuable Explanations","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"computing-preimages-of-deep-neural-networks","title":"Computing Preimages of Deep Neural Networks with Applications to Safety","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"constraint-driven-explanations-of-black-box","title":"Constraint-Driven Explanations of Black-Box ML Models","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"counterfactual-fairness-through-data","title":"Counterfactual Fairness through Data Preprocessing","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"43b77093d99921cc36c92c12e0c08276298e414fd15f0ebceaef38857e85635c","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}